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Abundance_Estimation.html
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<title>Abundance Estimation in R</title>
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Araw2f6ICggwKv43AVD%2BsAFQkQPd%2FCkB5o%2B0YD%2F9dgABAIX%2F7AQdBbYAGgA6QB8PAxkUCBQXAwQcGwARS1kAAAYVFRhMWRUGBgxLWQYZAD8rABg%2FKxESADkYLysREgEXOREzETMxMAEyBBUUACMiJzUeATMyNjUQISIHJxMhFSEDNgIt5wEJ%2Ft%2F%2B94JG0GWww%2F6JX59WNwLX%2FbclcwN95cfj%2Fv5PoC0zpp0BMh03AqyZ%2FkkXAAAAAAIAdf%2FsBC8FywAWACQAREAjGhELISEAAAYRAyYlDAsOHU1ZCw4OFAMUF0tZFBkDCE1ZAwcAPysAGD8rERIAORgvOSsRADMREgEXOREzETMRMzEwExAAITIXFSYjIgIDMzYzMhYVFAIjIgAFMjY1NCYjIg4BFRQeAXUBTwFIcUFNY%2Bv4DAxu7sXj%2BdTj%2FvYB646dkpFalllQkwJxAa8BqxOPGf7b%2Fsas7szk%2FvsBVcizqZGmSoJGZ7JoAAAAAQBeAAAEKwW2AAYAH0AQAQUFAAIDBwgDAkxZAwYAGAA%2FPysREgEXOREzMTAhASE1IRUBAR0CXvzjA839qgUdmYX6zwADAGj%2F7AQpBcsAFgAiAC4ATUApFw8mFCwDHQkJAwYRFA8GLzAGESkgKSBLWSkpDAAMGk1ZDBkAI01ZAAcAPysAGD8rERIAORgvKxESADk5ERIBFzkRMxEzETMRMzEwATIWFRQGBx4BFRQGIyImNTQlLgE1NDYDFBYzMjY1NCYnDgEBIgYVFBYXPgE1NCYCSMjqhpOylv7d6vwBMop463enl5WmnMKVhgE6fY52n493kQXLuqRssklVu3u22c28%2B4xOtXCfvfumeIaMemGXR0CbA2d4ZFyEQjyKXGV3AAAAAAIAav%2FsBCUFywAXACUAQUAiGxEiCgoAAAQRAyYnDh5NWQsUDg4CFBQYS1kUBwIHTVkCGQA%2FKwAYPysREgA5GC8SOSsREgEXOREzETMRMzEwARAhIic1FjMyEhMjDgEjIiY1NAAzMhYSASIGFRQWMzI%2BATU0LgEEJf1odERQZvD1Cww3tnLC5AD%2F0JXfeP4Uj5yQk1uZWFKTA0b8phSPGgEpATNTV%2BjQ5AEImf7bATC4pJClSoBGabJmAAAAAgCY%2F%2BMBiQRkAAsAFQAoQBQQBgYMAAAWFw4TT1kOEAkDT1kJFgA%2FKwAYPysREgE5ETMzETMxMDc0NjMyFhUUBiMiJhE0MzIVFAYjIiaYPTk6QUI5M0N2e0I5M0NqQ0VFQ0FGPwO7h4dBRj8AAgA%2F%2FvgBhQRkAAgAEgAiQBABDQ0FCQkUEwsQT1kLEAUAAC%2FNPysREgE5ETMzETMxMCUXBgIHIzYSNwM0MzIVFAYjIiYBXg8aYjV9G0ENFXd7Qjk6Pe4XZP73cmgBMlwC74eHQUZGAAABAGgA8gQpBNkABgAVQAkEAAUBBAcIAwAALy8REgEXOTEwJQE1ARUJAQQp%2FD8DwfzyAw7yAaZiAd%2BV%2Fo3%2BuAAAAgB3AcEEGQPjAAMABwAqQBUHAgQAAgAJCAQFUFkEAQBQWQ8BAQEAL10rABgvKxESATk5ETMRMzEwEzUhFQE1IRV3A6L8XgOiA1qJif5niYkAAAAAAQBoAPIEKQTZAAYAFUAJBQECAAQHCAYDAC8vERIBFzkxMBMJATUBFQFoAw%2F88QPB%2FD8BiQFGAXWV%2FiFi%2FloAAAIAG%2F%2FjAzkFywAbACYAOUAdIRwbAAcTEwAcDgQnKAAAJBAkHk9ZJBYQCklZEAQAPysAGD8rERIAORgvERIBFzkRMxEzETMxMAE1NDY3PgE1NCYjIgYHJzYzMhYVFA4BBw4BHQEDNDMyFhUUBiMiJgEhSGKIR4N7T5ZhO73Ov9QnTH5lQbJ4Oj9AOTREAZM2dZdUc3RSZm8lMYdjvKtJb2NuVnJfIf7XiEZCQEc%2FAAAAAgB5%2F0YGuAW0ADUAPwBFQCIjLjYOOwcUGwAAKRQOLgVAQRg4OAQ9CBELEQsRKx8yAyYrAC8zPzMSOTkvLxI5MjMzETMREgEXOREzETMzETMRMzEwARQOASMiJicjDgEjIiY1NBIzMhYXAxUUMzI2NTQCJCMiBAIVEAAhMjcVBiMgABEQEiQhMgQSARQzMhsBJiMiBga4WKBoVnYLCCiVZpap7MBErEUZhVtylP7vsd%2F%2Btq4BQgEv0uLA9P6V%2Fm%2FWAYwBANcBT7f79sPPEg5IVYKTAtmO7IJoUVdizbDMAP8ZFv4qFrLXrLUBEJO5%2Fqnh%2Fs%2F%2BuFaFVAGPAWYBBAGW37X%2Bs%2F6k%2FgE5AQUUtAAAAAACAAAAAAUQBbwABwAOADlAHgIOCwgBBQADAAcDBAcEEA8OAklZCwUODgQFAwAEEgA%2FMz8SOS8SOSsREgE5OREzETMREhc5MTAhAyEDIwEzCQEDJicGBwMEYLb9trSsAkKPAj%2F%2BZaohIxYprAHR%2Fi8FvPpEAmoBxVZ9YHP%2BOwAAAAMAyQAABL4FtgAOABcAIABJQCYTBB0KDxkZDgoEBw4EISIIDxgPGEpZDw8OAA4ZSlkOEgAXSlkAAwA%2FKwAYPysREgA5GC8rERIAORESARc5ETMRMxEzETMxMBMhIAQVFAYHFQQRFAQjIRMhMjY1NCYrARkBITI2NTQmI8kBnQEjAQSRiwFN%2Fvfu%2FgKqARi0nrDA%2BgExsbO3uwW2rryCqRkKOf7bxNwDRHGGe239kf3diZKIgAAAAAABAH3%2F7ATPBcsAFgAmQBQDDhQJDgMXGBIASVkSBAsGSVkLEwA%2FKwAYPysREgEXOREzMTABIgAREAAzMjcVBiMgABE0EiQzMhcHJgM78f7pAQ35mcSY3%2F69%2FqGpAT%2FY5qxIpgUz%2Fr%2F%2B6f7h%2Fsc3lTkBiAFp4gFUuFSSTgAAAgDJAAAFWAW2AAgAEQAoQBQOBAkABAASEwUNSlkFAwQOSlkEEgA%2FKwAYPysREgE5OREzETMxMAEQACkBESEgAAMQACEjETMgAAVY%2Fnf%2Bj%2F5rAcABVQF6tP7h%2FuX3zwEwATIC6f6W%2FoEFtv6G%2FqcBHgEi%2B3ABKwAAAQDJAAAD%2BAW2AAsAOkAfBgoKAQQACAEEDA0GCUlZBgYBAgIFSVkCAwEKSVkBEgA%2FKwAYPysREgA5GC8rERIBFzkRMxEzMTApAREhFSERIRUhESED%2BPzRAy%2F9ewJe%2FaIChQW2l%2F4plv3mAAAAAQDJAAAD%2BAW2AAkAMkAaBgAAAQMIAQMKCwYJSVkGBgECAgVJWQIDARIAPz8rERIAORgvKxESARc5ETMRMzEwISMRIRUhESEVIQFzqgMv%2FXsCXv2iBbaX%2FemXAAABAH3%2F7AU9BcsAGwA6QB8UCBkCAg4bCAQcHQAbSVkAAAUMDBFJWQwEBRdJWQUTAD8rABg%2FKxESADkYLysREgEXOREzETMxMAEhEQ4BIyAAETQSJDMyFwcmIyAAERAAITI3ESEDTAHxdPCe%2FrT%2BjrcBWOfqykLGt%2F71%2FtQBIQEYmJH%2BuQL%2B%2FTklJgGLAWTkAVe1VpZU%2FsL%2B5v7Y%2Fs4jAcIAAQDJAAAFHwW2AAsAM0AZCQEBAAgEBAUABQ0MCANJWQgIBQoGAwEFEgA%2FMz8zEjkvKxESATk5ETMRMxEzETMxMCEjESERIxEzESERMwUfqvz%2BqqoDAqoCsP1QBbb9kgJuAAAAAAEAyQAAAXMFtgADABG2AAQFAQMAEgA%2FPxESATkxMDMRMxHJqgW2%2BkoAAAAAAf9g%2Fn8BaAW2AA0AHUANCwgIDg8JAwAFSVkAIgA%2FKwAYPxESATkRMzEwAyInNRYzMjY1ETMRFAYMXjZHTWNnqsD%2BfxuRFHhxBbb6WL7RAAABAMkAAATpBbYACwAqQBUIBAQFBQILCgAFDQwCCAUJBgMBBRIAPzM%2FMxI5ORESARc5ETMRMzEwISMBBxEjETMRATMBBOnI%2FeuZqqoCl8n9tALFiP3DBbb9KwLV%2FYUAAAABAMkAAAP4BbYABQAfQA4DAAAEBgcBAwADSVkAEgA%2FKwAYPxESATk5ETMxMDMRMxEhFcmqAoUFtvrkmgABAMkAAAZxBbYAEwAyQBgIBQUGCw4ODQYNFBUBChEDBgsHAw4ABhIAPzMzPzMSFzkREgE5OREzETMRMxEzMTAhASMWFREjESEBMwEzESMRNDcjAQNQ%2FhAIDp0BAAHPCAHT%2FqoOCP4MBRCa1PxeBbb7SgS2%2BkoDrqK%2B%2BvIAAQDJAAAFPwW2ABAALkAVCQYGBwEPDwAHABESCwMHDwgDAQcSAD8zPzMSOTkREgE5OREzETMRMxEzMTAhIwEjFhURIxEzATMmAjcRMwU%2FwvzhCBCdwAMdCAIOAp8Ey9i0%2FMEFtvs6GwElPwNHAAAAAAIAff%2FsBb4FzQALABcAKEAUEgAMBgAGGRgJFUlZCQQDD0lZAxMAPysAGD8rERIBOTkRMxEzMTABEAAhIAAREAAhIAABEBIzMhIREAIjIgIFvv6d%2FsT%2Bvf6hAWABRAE7AWL7c%2F3x8%2Fj38vP9At3%2Bof5uAYsBaAFlAYn%2BcP6g%2Ftf%2BzQEyASoBJwEx%2Fs0AAgDJAAAEaAW2AAkAEgA0QBoKBQUGDgAGABMUCgRKWQoKBgcHEkpZBwMGEgA%2FPysREgA5GC8rERIBOTkRMxEzETMxMAEUBCEjESMRISABMzI2NTQmKwEEaP7R%2FuasqgF7AiT9C5niyr7JvgQM3u%2F9wQW2%2FRuSoZGOAAAAAAIAff6kBb4FzQAPABsANEAbEAoWAAAEAwoEHB0DDQcNGUlZDQQHE0lZBQcTAD%2FGKwAYPysREgA5ERIBFzkRMxEzMTABEAIHASMBByAAERAAISAAARASMzISERACIyICBb7izgFc9%2F7jN%2F69%2FqEBYAFEATsBYvtz%2FfHz%2BPfy8%2F0C3f7n%2FoxC%2FpYBSgIBiwFoAWUBif5w%2FqD%2B1%2F7NATIBKgEnATH%2BzQAAAAIAyQAABM8FtgAMABUASEAlDQEBAgwJEQcLCgoHCQIEFhcJDQANAEpZDQ0CAwMVSVkDAwsCEgA%2FMz8rERIAORgvKxESADkREgEXOREzETMRMxEzETMxMAERIxEhIAQVEAUBIwElMzI2NTQmKwEBc6oBkQENAQH%2B2gGNyf6e%2Fs%2FptKirvd0CYP2gBbbOz%2F7eZv1vAmCSj4%2BRgAAAAAEAav%2FsBAIFywAkADRAGx4TDAAAGBMFBCUmDB4DFhYbSVkWBAMJSVkDEwA%2FKwAYPysREgA5ORESARc5ETMRMzEwARQEIyAnNR4BMzI2NTQuAScuATU0NjMyFwcmIyIGFRQeARceAQQC%2Fujw%2FvyMWtRoqqw9j5LMr%2F7R2rc1tauHmDiFieatAYXB2EOkJiyBc0xhUjRJyKGpyFCUTHRnTGFRMVK8AAAAAAEAEgAABFoFtgAHACRAEgABBQEDAwgJBwMEA0lZBAMBEgA%2FPysRADMREgEXOREzMTAhIxEhNSEVIQKLqv4xBEj%2BMQUfl5cAAAEAuv%2FsBRkFtgARACVAERABCgcBBxMSEQgDBA1JWQQTAD8rABg%2FMxESATk5ETMRMzEwAREUACEgADURMxEUFjMyNjURBRn%2B0v74%2Fvj%2B36rIwrnIBbb8Tvr%2B4gEg%2FAOu%2FEa3xMW4A7gAAQAAAAAEwwW2AAoAGkALAQQMCwgDAAQDAxIAPz8zEjkREgE5OTEwATMBIwEzARYXNjcEDLf98aj99LQBUDoiJDoFtvpKBbb8TqOaoqEAAAABABsAAAdMBbYAGQAkQBAZChsaFQ4OBQkYEQoDAQkSAD8zPzMzEjk5ETMREgE5OTEwISMBLgEnBgcBIwEzExYXNjcBMwEWFzY3EzMFxaj%2B2RU0ARYw%2FuKo%2Fnu05zAWGzUBBrQBEzAhEzXmtAPTQcYUhJ38MwW2%2FHm%2BmrevA3n8f5vDjswDhQAAAQAIAAAElgW2AAsAI0ASBAYFCwoABg0MAggECQYDAQQSAD8zPzMSOTkREgEXOTEwISMJASMJATMJATMBBJbB%2Fnf%2BcLQB5v47vAFrAW61%2FjsCg%2F19AvwCuv29AkP9TAAAAQAAAAAEewW2AAgAIEAPBAUCBQcDCQoABQEHAwUSAD8%2FMxI5ERIBFzkRMzEwCQEzAREjEQEzAj0Bhrj%2BGKz%2BGboC2wLb%2FIH9yQIvA4cAAAABAFIAAAQ%2FBbYACQArQBcIAQMHAAcEAQQKCwUESVkFAwEISVkBEgA%2FKwAYPysREgEXOREzETMxMCkBNQEhNSEVASEEP%2FwTAwj9EAO%2F%2FPgDHoUEmJmF%2B2kAAQCm%2FrwCbwW2AAcAIEAOBgEEAAEACAkFAgMGAScAPzM%2FMxESATk5ETMRMzEwASERIRUhESECb%2F43Acn%2B3wEh%2FrwG%2Bo36IQAAAQAXAAAC3QW2AAMAE7cDAQQFAwMCEgA%2FPxESATk5MTATASMBugIjpv3gBbb6SgW2AAAAAAEAM%2F68AfwFtgAHACBADgMAAQYABggJAAcnAwQDAD8zPzMREgE5OREzETMxMBchESE1IREhMwEh%2Ft8Byf43tgXfjfkGAAAAAAEAMQInBCMFwQAGABhACQADBwgFAgAEAgAvLzMSORESATk5MTATATMBIwkBMQGyYwHdmP6M%2FrICJwOa%2FGYC6f0XAAAAAf%2F8%2FsUDmv9IAAMAEbUABQEEAQIALzMRATMRMzEwASE1IQOa%2FGIDnv7FgwABAYkE2QMSBiEACQATtgAECwoGgAEALxrNERIBOTkxMAEjLgEnNTMeARcDEm5BsijLIHIsBNk0wD8VRbU1AAAAAgBe%2F%2BwDzQRaABkAJABHQCUiCAseHhkZEggDJSYBAgseR1kCCwsAFRUPRlkVEAUaRlkFFgAVAD8%2FKwAYPysREgA5GC85KxEAMxESARc5ETMRMxEzMTAhJyMOASMiJjUQJTc1NCYjIgcnPgEzMhYVESUyNj0BBw4BFRQWA1IhCFKjeqO5AhO6b3qJrTNRwWHEvf4Om7Gmxq9tnGdJqJsBTBAGRIF7VH8sMq7A%2FRR1qpljBwdtc1peAAIAsP%2FsBHUGFAATAB8AREAiChcXDw8MHQMMAyAhDQAMFRIRChEGAAYaRlkGFgAURlkAEAA%2FKwAYPysREgA5OREzGD8%2FERIBOTkRMxEzETMRMzEwATISERACIyImJyMHIxEzERQHMzYXIgYVFBYzMjY1NCYCrtjv8dZrsTwMI3emCAh0zKqWmqqZlpYEWv7Z%2FvL%2B8v7VT1KNBhT%2Bhn9lpIvD5%2BfH39HW0gAAAAABAHP%2F7AOLBFwAFgAmQBQPAwMVCQMYFwYNRlkGEAASRlkAFgA%2FKwAYPysREgEXOREzMTAFIgAREAAzMhYXBy4BIyARFBYzMjcVBgJm7v77AQn1T54tMzeCMv6yo6CJkG4UASUBDAETASwiF40WHf5Wytg7kzkAAAACAHP%2F7AQ3BhQAEgAfAEJAIR0GFwAODhEGESAhEhUPAAABAQwDCQkaRlkJEAMTRlkDFgA%2FKwAYPysREgA5OREzGD8%2FERIBOTkRMxEzMxEzMTAlIwYjIgIREBIzMhczLwERMxEjJTI2PQE0JiMiBhUUFgOaCXPl1%2B%2Fw1t93DQcEpof%2BnqqZm6qSm5qTpwEmAQ8BDwEsok9NAb757He5ziPpx%2BPP0tYAAAACAHP%2F7AQSBFwAEwAaADtAHxgKFwsDAxEKAxwbFwtGWRcXAAYGFEZZBhAADkZZABYAPysAGD8rERIAORgvKxESARc5ETMzETMxMAUiABEQADMyEh0BIR4BMzI3FQ4BAyIGByE0JgJ%2F8%2F7nAQXczvD9DQW5qLGtWJ2chJ0OAj2MFAEoAQcBCQE4%2FvHeacHISpQmIQPlrJidpwAAAAABAB0AAAMOBh8AFAA5QB0UDAwTAgIHAwUDFRYKD0ZZCgABBQcFRlkTBw8DFQA%2FPzMrEQAzGD8rERIBOTkRMzMRMzMSOTEwASERIxEjNTc1ECEyFwcmIyIGHQEhAp7%2B6abExAFhV3UrYEReWgEXA8f8OQPHSzw9AZQjhR99ikcAAAMAJ%2F4UBDEEXAAqADcAQQBuQD4rGTglDB89BTETARMFAioiHB8lGQpCQxwPNQ81RlkIO0dZCiIIKg8IDwgWKioCR1kqDyg%2FR1koEBYuR1kWGwA%2FKwAYPysAGD8rERIAOTkYLy8REjk5KysREgA5ERIBFzkRMxEzETMRMxEzMTABFQceARUUBiMiJwYVFBY7ATIWFRQEISImNTQ2Ny4BNTQ2Ny4BNTQ2MzIXARQWMzI2NTQmKwEiBhMUFjMyNTQjIgYEMcscLNzAMStqSlrCsr%2F%2B3P7o1%2BmAdCo5QEVVa9jGVkX%2BEZaM0clumMdxflqCdPP2dX4ESGkYI3FHocAIOFUtK5aPtr%2BgkmSSGhNQNTxaKiOobLTDFPsAWVx9a1lFbAM8c3bs934AAQCwAAAERAYUABYAM0AZDgwICAkAFgkWFxgOCRISBEZZEhAKAAAJFQA%2FMz8%2FKxESADkREgE5OREzETMRMzMxMCERNCYjIgYVESMRMxEUBzM%2BATMyFhURA556gq2fpqYICjG1dMnJAsWGhLzW%2FcMGFP4pVThPW7%2FQ%2FTUAAAIAogAAAWYF3wADAA8AI0ARCgAABAEBEBENB0hZDQIPARUAPz%2FOKxESATkRMzMRMzEwISMRMwM0NjMyFhUUBiMiJgFWpqa0OCooOjooKjgESAEpOTU2ODg3NwAAAv%2BR%2FhQBZgXfAAwAGAAsQBYTCwsNCAgZGhYQSFkWQAkPAAVGWQAbAD8rABg%2FGs4rERIBOREzMxEzMTATIic1FjMyNjURMxEQAzQ2MzIWFRQGIyImK187RUNOSaa0OCooOjooKjj%2BFBmHFFVXBPz7EP68B105NTY4ODc3AAEAsAAABB0GFAAQADZAGxAOCgoLCwgGBAUIBBESDAAAEBAICAMHCxUDDwA%2FPzMSOS85ETM%2FERIBFzkROREzETMzMTABNjcBMwkBIwEHESMRMxEUBwFUK1gBYsX%2BRAHbyf59faSkCAIxPWMBd%2F4t%2FYsCBmz%2BZgYU%2FMc3cwABALAAAAFWBhQAAwAWQAkAAQEEBQIAARUAPz8REgE5ETMxMCEjETMBVqamBhQAAAABALAAAAbLBFwAIwBGQCMVERESCAkAIwkSIwMkJRwWFRUSGQQNGQ1GWR8ZEBMPCQASFQA%2FMzM%2FPzMrEQAzERI5GC8zMxESARc5ETMRMxEzETMxMCERNCYjIgYVESMRNCYjIgYVESMRMxczPgEzIBczPgEzMhYVEQYlcHablKZwd5yRpocbCC%2BragEBTwgxune6uQLJg4Oyuf2cAsmDg7vV%2FcEESJZQWrpWZL%2FS%2FTUAAAEAsAAABEQEXAAUADFAGAAUDAgICRQJFhUMCRAQBEZZEBAKDwAJFQA%2FMz8%2FKxESADkREgE5OREzETMRMzEwIRE0JiMiBhURIxEzFzM%2BATMyFhURA556gqygpocbCDO4ccbIAsWGhLrW%2FcEESJZRWb%2FS%2FTUAAgBz%2F%2BwEYgRcAAwAGAAoQBQTAA0HAAcaGQoWRlkKEAMQRlkDFgA%2FKwAYPysREgE5OREzETMxMAEQACMiJgI1EAAzMgABFBYzMjY1NCYjIgYEYv7y7pPkfAEM7uYBD%2Fy9qKOjqamlo6YCJf70%2FtOKAQKtAQwBK%2F7O%2FvvS3NvT0dnWAAAAAgCw%2FhQEdQRcABQAIQA%2FQCAZCwQHBwgfEggSIiMECwAPDxVGWQ8QCQ8IGwAcRlkAFgA%2FKwAYPz8%2FKxESADk5ERIBOTkRMxEzETMzMzEwBSImJyMWFREjETMXMz4BMzISERACAyIGBxUUFjMyNjU0JgKua7E8DAymhxcIQKpu2u3x7qiWApqqjqGhFE9SYFb%2BPQY0llpQ%2Ftb%2B8%2F7y%2FtUD47rLJefH5srN2wAAAAIAc%2F4UBDcEXAAMAB8AREAiChAdFgMaGhkQGSAhGhsXDx0eHhYNExMHRlkTEA0ARlkNFgA%2FKwAYPysREgA5OREzGD8%2FERIBOTkRMxEzMzMRMzEwJTI2NzU0JiMiBhUUFhciAhEQEjMyFzM3MxEjETQ3IwYCTqaYBZypkpuZfdTu8NbheQkYg6YLDXN3stMl5srjz8%2FZiwEqAQsBDQEuqpb5zAHVZEanAAEAsAAAAycEXAAQACpAFA0JCQoKAhESCw8NAAoVAAVGWQAQAD8rABg%2FEjk%2FERIBOTkRMxEzMTABMhcHJiMiBhURIxEzFzM%2BAQKkSToXRDSFvaaJEwg9rARcDJoP2KH9tARIy2t0AAAAAQBq%2F%2BwDcwRcACQANkAcHhMMAAAYBRMEJSYMHgMWFhtGWRYQBgMJRlkDFgA%2FKwAYLz8rERIAOTkREgEXOREzETMxMAEUBiMiJzUeATMyNjU0JicuAjU0NjMyFwcmIyIGFRQeARceAQNz5M7aek%2B1VIKMb6GZgT%2FavrGpO6WGdngtZI7DiQErmaZFmiguU1VAWz45VWxLhptIh0RKQSw%2BODVHkAABAB%2F%2F7AKoBUYAFgA0QBsQFBQJCwkSAwQYFwoTEBNHWQ5AEA8HAEZZBxYAPysAGD8azSsRADMREgEXOREzETMxMCUyNjcVDgEjIBkBIzU%2FATMVIRUhERQWAhIsUhgbaSr%2Bwp2dRmABPv7CXnUNB38NEQFPAoxQRer%2Bgf17Y2oAAAEApP%2FsBDkESAAUADRAGQETBwwMChMKFRYMDQ0QCBQPEARGWRAWCxUAPz8rABg%2FMxI5ETMREgE5OREzETMRMzEwAREUFjMyNjURMxEjJyMOASMiJjURAUx6gqyfpokYCTO1dMjHBEj9OYaEvNUCQPu4k1FWvtECzQAAAAABAAAAAAQCBEgACwAYQAoBCgwNBQkBDwAVAD8%2FMzkREgE5OTEwIQEzExYXMzYSEzMBAaD%2BYLLsUA4IC3XMsv5gBEj9duRENQFNAjD7uAAAAAEAFwAABiMESAAcACxAFAkbHR4XFg4NAwQNBAgaEgkPAAgVAD8zPzMzEjk5ETMRMzMzERIBOTkxMCEDJicjBgcDIwEzGgEXMz4BNxMzExYXMz4BEzMBBC%2FJEzQIKB7PwP7VrmpvCAgLMRLJtMQ4FAgEI7%2Bs%2FtECgzvRr1%2F9fwRI%2FmP%2BUEs5tTUCdf2LrHUklgLc%2B7gAAAAAAQAnAAAECARIAAsAIkARBwUGAAEFDA0JAwEICxUEAQ8APzM%2FMxI5ORESARc5MTAJATMJATMJASMJASMBuP6DvQEhASC7%2FoMBkbz%2Bzf7KvAIxAhf%2BXAGk%2Fen9zwG8%2FkQAAQAC%2FhQEBgRIABUAJEASCQ8AAxYXBA0ADRJGWQ0bCAAPAD8yPysREgA5ERIBFzkxMBMzExYXMz4BEzMBDgEjIic1FjMyPwECsvBPEwgNU%2Bay%2FilGu4hMSjdEq0k9BEj9j9ZfM%2FcCfPsguZsRhQzAnAAAAAABAFIAAANtBEgACQArQBcIAQMHAAcEAQQKCwUER1kFDwEIR1kBFQA%2FKwAYPysREgEXOREzETMxMCkBNQEhNSEVASEDbfzlAlb9zwLn%2FbICXXEDVoGB%2FLoAAQA9%2FrwCwQW2ABwALEAVGRoaCxcAAA8HFAMDBwsDHR4TAwQnAD8%2FERIBFzkRMxEzMxEzETMRMzEwJRQWFxUuATURNCYjNT4BNRE0NjMVBhURFAcVFhUB23VxvtB%2BeIJ02Lbm398MZlwCjAKqmgEvaFmNAlxgATKbrIsGwf7Z1ycMJ9cAAQHu%2FhACewYUAAMAFkAJAgMDBAUDGwAAAD8%2FERIBOREzMTABMxEjAe6NjQYU9%2FwAAQBI%2FrwCywW2AB0ALEAVFQUKEhICGQAdHQ4OGQUDHh8VJwYDAD8%2FERIBFzkRMxEzETMzETMRMzEwASY1ETQnNTIWFREUFhcVIgYVERQGBzU%2BATURNDY3Agrf47jTdoJ6fs2%2Bb3RucQI%2FJ9cBJ8EGi66Z%2Fs5hWwKNWWj%2B0ZmrAowCXGYBKXJ4FAAAAAABAGgCUAQpA1QAFwAkQBEDDxgZEgxQWQMSDwYGAFBZBgAvKwAQGMQvxCsREgE5OTEwASIGBzU2MzIWFx4BMzI2NxUGIyImJy4BAVI1fzZkkERxWUJiLzaANmaOSH5IS1oCyUM2l20cJhwbQDmWbiEgIBgAAAIAmP6LAYkEXgADAA4AK0AUAgQEAwkJDxAAAAMMDAZPWQwQAyIAPz8rERIAORgvERIBOREzMxEzMTATMxMjExQjIiY1NDYzMhbbaTPP4Xk8PD85M0YCrPvfBUyHR0A%2FSEAAAAABAL7%2F7APbBcsAGwA%2BQB4WCA0DAwoEABAQBAgDHB0ZBQITCg0CDQINBAsHBBkAPz8SOTkvLxEzMxEzMxESARc5ETMRMzMRMxEzMTAlBgcVIzUmAjUQJTUzFR4BFwcmIyIGFRQWMzI3A8tpk4XLwQGMh0uOMTGFbayin6eNjvA2BsjOIAER%2BgH8PqykAyEXjDPT2dTLOwAAAAEAPwAABEQFyQAdAEhAJhgTCQ0NGhYRAgsWEwUeHwwYGRhOWQkZGRMAExBMWRMYAAVLWQAHAD8rABg%2FKxESADkYLzMrEQAzERIBFzkRMzMRMxEzMTABMhcHJiMiBhURIRUhFRQGByEVITU2PQEjNTMRNDYCqr6qPZqPe30Bpv5aQUoDG%2Fv7zcbG4AXJVIVNfIz%2B2X%2FdZIgsmo0v9N9%2FATyyzQAAAgB7AQYEFwSgABsAJwAgQA0cACIOAA4oKR8VFSUHAC8zMy8zERIBOTkRMxEzMTATNDcnNxc2MzIXNxcHFhUUBxcHJwYjIicHJzcmNxQWMzI2NTQmIyIGuEqHXodogn9miV%2BGSkqDXIlmf4Zkh1yFSoGddHSeoHJ0nQLTemuMXIVJSYVcinF2g2eHXIVHSYVciGt8cKCfcXKipAAAAQAfAAAEcQW2ABYAVkAuEg4HCwsQDAUJAgkDDBQOFQcXGAoODgcPBhISAwATFQ8THxMCDxMPEwwBFQYMGAA%2FPzMSOTkvL10REjkyMhEzETMzETMREgEXOREzETMzETMRMzEwCQEzASEVIRUhFSERIxEhNSE1ITUhATMCSAF7rv5gAQb%2BwwE9%2FsOk%2FsQBPP7EAQD%2BZbIC3wLX%2FP5%2Fqn%2F%2B9AEMf6p%2FAwIAAgHu%2FhACewYUAAMABwAkQBACBgYDBwcICQQDBAMHGwAAAD8%2FOTkvLxESATkRMzMRMzEwATMRIxEzESMB7o2NjY0GFPz4%2Fg389wAAAAIAe%2F%2F4A5YGHQAxAD0AQ0AmMgATBioeOBkZHgwGACMGPj8VAzs2HC0GIQkhJ0dZIRUJEEdZCQAAPysAGD8rERIAFzkREgEXOREzETMRMxEzMTATNDY3LgE1NDYzMhYXBy4BIyIGFRQWFx4BFRQGBxYVFAYjIic1HgEzMjY1NC4BJy4CNxQWHwE2NTQmJw4Bi1ZOSlTPxV6fYTVih0x0dHuaupZSSpnq1NqATsJSho0wbHOOhkKShKcxiZO5RFUDKVaJJShvVXmLHSeDJxs7QDxUN0SXa1qNKVGSjJlBlCUtTEcuOjorNFpyYk1pPRNQb1NwORNkAAAAAgE1BQ4DaAXTAAsAFwAeQAwGAAwSABIYGQ8DFQkALzPNMhESATk5ETMRMzEwATQ2MzIWFRQGIyImJTQ2MzIWFRQGIyImATU1JSY3NyYlNQF9NSUlNzclJTUFcTQuLjQyMTEyNC4uNDIxMQAAAwBk%2F%2BwGRAXLABYAJgA2AEZAJycXAw8vHx8UCQ8XBTc4BgwAEg8MHwwCABIQEgIMEgwSGysjEzMbBAA%2FMz8zEjk5Ly9dXREzETMREgEXOREzETMRMzEwASIGFRQWMzI3FQ4BIyImNTQ2MzIXByYBNBIkMzIEEhUUAgQjIiQCNxQSBDMyJBI1NAIkIyIEAgN9fYd%2Fg1Z9MGVGwtDdv4B2Omz8l8gBXsrIAV7Kwv6i0M%2F%2BosNprgEtrK4BKq%2Bu%2Ftewrv7WrwQjrpqooi18FBzx2NH2PHYz%2FrjIAV7KyP6iysX%2BptDPAVrGrf7Tra4BKbCuASqvrv7XAAACAEYDFAJxBccAFgAfADdAHBcGGwoBARYWEAYDICEcCgoSGRYAAxADAgMNEh8APzPUXcQzEjkvMxESARc5ETMRMzMRMzEwAScGIyImNTQ2PwE1NCMiByc2MzIWFRElFDMyPQEHDgECFBhcjF9vmqV1lGRoK3KFgon%2BUHDJYnBnAyFUYWNmZmkGBCeFM2A4aXn%2BPLxktDEEBDkAAAACAFIAdQOqA74ABgANAClAEwMGCg0CBAsJCQQNBgQODwwFCAEALzMvMxESARc5ETMRMxEzETMxMBMBFwkBBwElARcJAQcBUgFWd%2F7fASF3%2FqoBiwFYdf7hAR91%2FqgCJwGXRf6i%2FqFHAZcbAZdF%2FqL%2BoUcBlwAAAAABAGgBCAQpAxcABQAbQAwCAQQBBgcFBFBZBQIALy8rERIBOTkRMzEwAREjESE1BCmJ%2FMgDF%2F3xAYWKAP%2F%2FAFQB2QI%2FAnESBgAQAAAABABk%2F%2BwGRAXLAAgAFgAmADYAXUAzJxcAERESBAkvHx8NCQwSFwY3OAwQEAAADhMOEggTDxIfEgIAExATAhITEhMbKyMTMxsEAD8zPzMSOTkvL11dETMRMxESOS8zETMREgEXOREzETMRMxEzETMxMAEzMjY1NCYrAQUUBgcTIwMjESMRITIWATQSJDMyBBIVFAIEIyIkAjcUEgQzMiQSNTQCJCMiBAIC02xQYVZdagGyVU3uqM%2BHlAEFppv738gBXsrIAV7Kwv6i0M%2F%2BosNprgEtrK4BKq%2Bu%2Ftewrv7WrwL6U0BLQYhQex7%2BdQFi%2Fp4De4L%2BxcgBXsrI%2FqLKxf6m0M8BWsat%2FtOtrgEpsK4BKq%2Bu%2FtcAAf%2F6BhQEBgaTAAMAEbUABQEEAQIALzMRATMRMzEwASE1IQQG%2B%2FQEDAYUfwACAH8DXALuBcsADAAYACFADg0AEwYABhkaEArAFgMEAD8zGswyERIBOTkRMxEzMTATNDYzMhYVFA4BIyImNxQWMzI2NTQmIyIGf7WCgrZSklSCtXN1UVBzcVJTcwSTgra1g1SPVLSDUnJxU1RxcgAAAgBoAAEEKQTDAAMADwAANzUhFQEhFSERIxEhNSERM2gDwf5kAZz%2BZIv%2BZgGaiwGKigMWiv5WAaqKAawAAQAxAkoCjQXJABgAI0ARBxMXAQEOEwAEGhkKEB8XASAAPzM%2FMxESARc5ETMRMzEwASE1Nz4CNTQmIyIGByc2MzIWFRQGDwEhAo39pOxZUiFQPzRiRUKDmISTWZOuAbgCSmjmVmFMNkRFJjJYb4JwUJeKpQABACECOQKNBckAIwA5QCIPBQUAAxIeCgYkJRJdE20TAkwTAQsTGxMCExMIGiEfDQghAD8zPzMSOS9dXV0zERIBFzkRMzEwARQGBxYVFAYjIic1FjMyNTQrATUzMjY1NCYjIgYHJz4BMzIWAnNSRLC4qJh0k3vT53V3Z2NQQ0JwOEU%2FjF6InQTnUGcXL6KAjzh7RKKRa09EPUQrI1otNncAAQGJBNkDEgYhAAkAE7YJBAoLBIAJAC8azRESATk5MTABPgE3MxUOAQcjAYkwbyDKLK5AbwTyPrBBFUG%2BNAAAAAEAsP4UBEQESAAWADVAGgUKCggQABMTFAgUGBcGFQ8UGw0CRlkNFgkVAD8%2FKwAYPz8zERIBOTkRMxEzMxEzETMxMAEQMzI2NREzESMnIwYjIicjFhURIxEzAVb%2Bq5%2BmiBoKb%2BWWWAoKpqYBff76vdQCQPu4k6dcVKD%2BwAY0AAAAAQBx%2FvwEYAYUAA8AJ0ASBAUBAAAFCwMQEQgIBQMPBQEFAC8zPzMSOS8REgEXOREzETMxMAEjESMRIxEGIyImNRA2MyEEYHLVcz5U2Mva6AIt%2FvwGsPlQAzMS%2BvsBBP4AAQCYAkwBiQNaAAsAF0AKBgAADQwDCU9ZAwAvKxESATkRMzEwEzQ2MzIWFRQGIyImmD44OkFCOTNDAtNCRUVCQUY%2FAAABACX%2BFAG0AAAAEgAkQBARDgsAAA4FAxMUDhERCAMQAC%2FMMjkvMxESARc5ETMRMzEwARQGIyInNRYzMjY1NCYnNzMHFgG0mZYzLS07T1FPbVhuN7T%2B32FqCWoIKDYrNRGycycAAQBMAkoB4QW2AAoAIEAOAgADAwoMCwkJAyAGAB4APzI%2FOS8REgE5OREzMzEwATMRIxE0Nw4BBycBUo%2BFBhY2h0MFtvyUAkNbWhYtX2AAAAACAEIDFAK%2BBccACwAXACVAEgwGEgAGABgZDwADEAMCAxUJHwA%2FM8RdMhESATk5ETMRMzEwARQGIyImNTQ2MzIWBRQWMzI2NTQmIyIGAr6rlpKpqJeYpf3%2BW2hpXFxpZ1wEb6S3uqGjtbaienp6ent2dgAAAAIAUAB1A6gDvgAGAA0AI0ARCwkEAgADBwIKCQYODwwFCAEALzMvMxESARc5ETMRMzEwCQEnCQE3AQUBJwkBNwEDqP6odQEf%2FuF1AVj%2Bdf6odQEf%2FuF1AVgCDP5pRwFfAV5F%2Fmkb%2FmlHAV8BXkX%2Baf%2F%2FAEsAAAXRBbYQJwDTAoMAABAmAHv%2FABEHANQDHf23AAmzAwISGAA%2FNTUA%2F%2F8ALgAABdsFthAnANMCPwAAECYAe%2BIAEQcAdANO%2FbcAB7ICEBgAPzUAAAD%2F%2FwAaAAAGIQXJECYAdfkAECcA0wLfAAARBwDUA239twAJswMCKxgAPzU1AAACADP%2BdwNUBF4AHQAoAEFAIggUHiMBHA8cIxQEKSoAHQEMAx0dESYmIE9ZJhARC0lZESMAPysAGD8rERIAORgvX15dERIBFzkRMxEzETMxMAEVFAYHDgIVFBYzMjY3FwYjIiY1ND4CNz4BPQETFCMiJjU0NjMyFgJOS2F5PRmEelCWYjvFxr7YI0BZNmVBtHk7PkI3M0YCrDN6lFRqS004ZHEmMIdguqpGaVlSL1h0XR8BK4dFQkBHQAAA%2F%2F8AAAAABRAHcxImACQAABEHAEP%2FwgFSAAizAhAFJgArNQAA%2F%2F8AAAAABRAHcxImACQAABEHAHYAhQFSAAizAhgFJgArNQAA%2F%2F8AAAAABRAHcxImACQAABEHAMUAIwFSAAizAh0FJgArNQAA%2F%2F8AAAAABRAHLxImACQAABEHAMcABAFSAAizAhgFJgArNQAA%2F%2F8AAAAABRAHJRImACQAABEHAGoANwFSAAq0AwIkBSYAKzU1%2F%2F8AAAAABRAHBhImACQAABAHAMYAOQCBAAL%2F%2FgAABoEFtgAPABMATkAsCg4OEQEACAwBEAUFFQUUCRMGE0lZEANJWQoNSVkQChAKAQYDBRIBDklZARIAPysAGD8%2FEjk5Ly8rKysRADMRATMREhc5ETMzETMxMCkBESEDIwEhFSERIRUhESEBIREjBoH9Ev3%2B47ACugPJ%2FbwCHf3jAkT7VAG%2BdgHR%2Fi8Ftpf%2BKZb95gHSArUA%2F%2F8Aff4UBM8FyxImACYAABAHAHoCAgAA%2F%2F8AyQAAA%2FgHcxImACgAABEHAEP%2FtwFSAAizAQ0FJgArNQAA%2F%2F8AyQAAA%2FgHcxImACgAABEHAHYAPwFSAAizARUFJgArNQAA%2F%2F8AyQAAA%2FgHcxImACgAABEHAMX%2F%2BwFSAAizARoFJgArNQAA%2F%2F8AyQAAA%2FgHJRImACgAABEHAGoAEgFSAAq0AgEhBSYAKzU1%2F%2F8ABQAAAY4HcxImACwAABEHAEP%2BfAFSAAizAQUFJgArNQAA%2F%2F8AswAAAjwHcxImACwAABEHAHb%2FKgFSAAizAQ0FJgArNQAA%2F%2F%2F%2FxwAAAmkHcxImACwAABEHAMX%2BuwFSAAizARIFJgArNQAA%2F%2F8ABQAAAjgHJRImACwAABEHAGr%2B0AFSAAq0AgEZBSYAKzU1AAIALwAABUgFtgAMABcAV0AyERUVCAQNAAATBAYEGBkUBgcGSVkRDwc%2FB68HzwffBwULAwcHBAkJEEpZCQMEFUpZBBIAPysAGD8rERIAORgvX15dMysRADMREgEXOREzETMzETMxMAEQACkBESM1MxEhIAADECEjESEVIREzIAVI%2Fnf%2Bj%2F57mpoBsgFRAXy1%2FcfnAXv%2Bhb4CYgLp%2Fpb%2BgQKJlgKX%2Fon%2BpAJA%2FfyW%2Fgr%2F%2FwDJAAAFPwcvEiYAMQAAEQcAxwCTAVIACLMBGgUmACs1AAD%2F%2FwB9%2F%2BwFvgdzEiYAMgAAEQcAQwB5AVIACLMCGQUmACs1AAD%2F%2FwB9%2F%2BwFvgdzEiYAMgAAEQcAdgEKAVIACLMCIQUmACs1AAD%2F%2FwB9%2F%2BwFvgdzEiYAMgAAEQcAxQC0AVIACLMCJgUmACs1AAD%2F%2FwB9%2F%2BwFvgcvEiYAMgAAEQcAxwCaAVIACLMCIQUmACs1AAD%2F%2FwB9%2F%2BwFvgclEiYAMgAAEQcAagDVAVIACrQDAi0FJgArNTUAAQCFARAEDASYAAsAGUAJBwkDAQkBDA0IABkvERIBOTkRMxEzMTABFwkBBwkBJwkBNwEDrGD%2BoAFeYP6e%2FqRlAV7%2BoGQBYQSYY%2F6e%2FqBjAV%2F%2BoWMBYAFgZf6dAAADAH3%2FwwW%2BBfYAEwAbACMATkAsFh8XHgQcFBwKFAAAEg8FCAoGJCUWHiEZDSFJWQ8SCAUEAxANBAMZSVkGAxMAP8YrABg%2FxhIXOSsREgA5ORESARc5ETMRMxESFzkxMAEQACEiJwcnNyYREAAhMhc3FwcWAxAnARYzMhIBEBcBJiMiAgW%2B%2Fp3%2BxOuUZXhssgFgAUTRnWF4asC0bv1gc7Dz%2BPwnZQKdaqjz%2FQLd%2FqH%2BbmSNT5rGAW0BZQGJXodQlMr%2BlQEQmvxMUgEyASr%2B%2BpoDr0n%2BzQAAAP%2F%2FALr%2F7AUZB3MSJgA4AAARBwBDAEYBUgAIswETBSYAKzUAAP%2F%2FALr%2F7AUZB3MSJgA4AAARBwB2AM8BUgAIswEbBSYAKzUAAP%2F%2FALr%2F7AUZB3MSJgA4AAARBwDFAH0BUgAIswEgBSYAKzUAAP%2F%2FALr%2F7AUZByUSJgA4AAARBwBqAJgBUgAKtAIBJwUmACs1Nf%2F%2FAAAAAAR7B3MSJgA8AAARBwB2ADEBUgAIswESBSYAKzUAAAACAMkAAAR5BbYADAAVADZAHA0JBQUGEQAGABYXDQRKWQkVSlkNCQ0JBgcDBhIAPz8SOTkvLysrERIBOTkRMxEzETMzMTABFAQhIxEjETMRMyAEATMyNjU0JisBBHn%2B0f7huKqq1wEZARb8%2Bqjiyr7KzAMQ4%2B7%2BwQW2%2FwDP%2FeqPpJWKAAABALD%2F7AScBh8AMABBQCIpKgUdIwAXDAwAHREqBTEyEhIqLi4mRlkuACoVDxVGWQ8WAD8rABg%2FPysREgA5GC8REgEXOREzETMRMxEzMTABFAcOARUUHgEXHgEVFAYjIic1HgEzMjU0JicuATU0Njc%2BATU0JiMgFREjETQ2MzIWBBmPWDgbR06MZsKzvGs%2FnEjXU25%2FYEVHS0CIf%2F7sptzezuEE8odzRkMhICo5M1%2BdZaCrRZonL7ZLa0ZSe1Q%2FajU5WjVQVd%2F7TASysrudAAD%2F%2FwBe%2F%2BwDzQYhEiYARAAAEQYAQ44AAAizAiYRJgArNf%2F%2FAF7%2F7APNBiESJgBEAAARBgB2KwAACLMCLhEmACs1%2F%2F8AXv%2FsA80GIRImAEQAABEGAMXYAAAIswIzESYAKzX%2F%2FwBe%2F%2BwDzQXdEiYARAAAEQYAx70AAAizAi4RJgArNf%2F%2FAF7%2F7APNBdMSJgBEAAARBgBq4gAACrQDAjoRJgArNTUAAP%2F%2FAF7%2F7APNBoUSJgBEAAARBgDG9wAACrQDAigRJgArNTUAAAADAF7%2F7AZzBFwAKQA0ADsAYUAzKgAkETA4GRkEMDkYGB8wCwAFPD0bLSctRlkZMQQxR1k4JCcRBAQOIicWNQgOCEZZFA4QAD8zKxEAMxg%2FMxI5LzkSOTMrEQAzKxEAMxESARc5ETMRMzMRMxI5OREzMTATNDY%2FATU0JiMiByc%2BATMyFhc%2BATMyEh0BIRIhMjY3FQ4BIyAnDgEjIiY3FBYzMjY9AQcOAQEiBgchNCZe%2BP64dHeQozRKx2KCpSk1q27A6P1DCAE6W51UVpVl%2Ft99UcWGo7mua1iRqJ66pAO9eYsLAgeAAS%2BhswgGRIF7VH8pNVdfWGD%2B9d5r%2FnUjJ5QmIel%2FaqqXX1mpmmMHCG0CMqaenKgAAAD%2F%2FwBz%2FhQDiwRcEiYARgAAEAcAegFGAAD%2F%2FwBz%2F%2BwEEgYhEiYASAAAEQYAQ7UAAAizAhwRJgArNf%2F%2FAHP%2F7AQSBiESJgBIAAARBgB2TgAACLMCJBEmACs1%2F%2F8Ac%2F%2FsBBIGIRImAEgAABEGAMX3AAAIswIpESYAKzX%2F%2FwBz%2F%2BwEEgXTEiYASAAAEQYAagoAAAq0AwIwESYAKzU1AAD%2F%2F%2F%2FaAAABYwYhEiYAwgAAEQcAQ%2F5RAAAACLMBBREmACs1AAD%2F%2FwCpAAACMgYhEiYAwgAAEQcAdv8gAAAACLMBDREmACs1AAD%2F%2F%2F%2BzAAACVQYhEiYAwgAAEQcAxf6nAAAACLMBEhEmACs1AAD%2F%2F%2F%2FsAAACHwXTEiYAwgAAEQcAav63AAAACrQCARkRJgArNTUAAgBx%2F%2BwEYgYhABsAJgBKQCshBgwcHAAAGBkWDhETEAYJJygJH0ZZCwMWERkODwUUCQkDFxQBAyRGWQMWAD8rABg%2FMxI5LxIXORI5KxESARc5ETMRMxEzMTABEAAjIgA1NAAzMhc3JicFJzcmJzcWFzcXBxYSAzQmIyARFBYzMjYEYv77997%2B6QEH3OJkCDnN%2FvFJ6VxeRZxm7kzPmKWotJz%2Br6%2Bir6ECM%2F7n%2FtIBDeLmAQZ5BNa%2Fm2yFPjF1SUuKa3eP%2FnL%2B6JOq%2Fpint8kA%2F%2F8AsAAABEQF3RImAFEAABEGAMcOAAAIswEeESYAKzX%2F%2FwBz%2F%2BwEYgYhEiYAUgAAEQYAQ9QAAAizAhoRJgArNf%2F%2FAHP%2F7ARiBiESJgBSAAARBgB2VgAACLMCIhEmACs1%2F%2F8Ac%2F%2FsBGIGIRImAFIAABEGAMUOAAAIswInESYAKzX%2F%2FwBz%2F%2BwEYgXdEiYAUgAAEQYAx%2FEAAAizAiIRJgArNf%2F%2FAHP%2F7ARiBdMSJgBSAAARBgBqGwAACrQDAi4RJgArNTUAAAADAGgA%2FAQpBKgAAwAPABsAM0AYFgoKEAQCBAEDHB0ZExMBBw0NAQEAUFkBAC8rEQAzGC8zETMvMxESARc5ETMzETMxMBM1IRUBNDYzMhYVFAYjIiYRNDYzMhYVFAYjIiZoA8H9rjs2NDo7MzQ9OzY0OjszND0CjYqK%2Fug8PT86OUA%2FAvQ8PT86OUA%2FAAMAc%2F%2B8BGIEhwATABsAIwBLQCkXHxwUFAocAAASDwUICgYkJRYeIRkNGUZZDxIIBQQDEA0QAyFGWQYDFgA%2FxisAGD%2FGEhc5KxESADk5ERIBFzkRMxEzERI5OTEwARAAIyInByc3JhEQADMyFzcXBxYFFBcBJiMiBgU0JwEWMzI2BGL%2B8u6acFRyXoEBDO6adFR1YX%2F8vTUB0Utyo6YClzP%2BL0dxo6kCJf70%2FtNFdU6DmAEAAQwBK0x3TIWY%2BatmAoY11tSkZP19M9sA%2F%2F8ApP%2FsBDkGIRImAFgAABEGAEPEAAAIswEWESYAKzX%2F%2FwCk%2F%2BwEOQYhEiYAWAAAEQYAdnEAAAizAR4RJgArNf%2F%2FAKT%2F7AQ5BiESJgBYAAARBgDFEgAACLMBIxEmACs1%2F%2F8ApP%2FsBDkF0xImAFgAABEGAGohAAAKtAIBKhEmACs1NQAA%2F%2F8AAv4UBAYGIRImAFwAABEGAHYSAAAIswEfESYAKzUAAgCw%2FhQEdQYUABYAIgA%2BQB8gBhsUEBARBhEkIxIAERsMFgkDCR5GWQkWAxdGWQMQAD8rABg%2FKxESADk5GD8%2FERIBOTkRMxEzMxEzMTABPgEzMhIREAIjIicjFxYVESMRMxEUByUiBgcVFBYzIBE0JgFYQqpq1%2FDx1t56DAQIpqYGAUiomAKaqgEvlAO0WU%2F%2B1P71%2FvT%2B06EiTT%2F%2BNQgA%2Fi40Whu4ySnnxwGw19EAAP%2F%2FAAL%2BFAQGBdMSJgBcAAARBgBqtQAACrQCASsRJgArNTUAAAABALAAAAFWBEgAAwAWQAkAAQEFBAIPARUAPz8REgE5ETMxMCEjETMBVqamBEgAAAACAH3%2F7AbnBc0AFAAfAFNALhgGDxMTHQANER0GBSAhDxJJWQ8PAAsLDklZCwMJFUlZCQQDG0lZAxIAE0lZABIAPysAGD8rABg%2FKwAYPysREgA5GC8rERIBFzkRMxEzETMxMCkBBiMgABEQACEyFyEVIREhFSERIQEiABEQADMyNxEmBuf9AGZc%2Frn%2BnwFcAUBmWgMO%2FbMCJ%2F3ZAk38RPn%2B%2FwEB93BXVxQBiQFqAWgBhheX%2FimW%2FeYEnf7P%2Ftn%2B1%2F7NIQR1HgAAAAMAcf%2FsBx8EWgAeACoAMQBVQC0fCA4CFhYlLxUVHCUIBDIzKygLKEZZLhZGWQIFDgsuLgURCxAYIgUiRlkABRYAPzMrEQAzGD8zEjkvEjkSOSsrEQAzERIBFzkRMxEzEjk5ETMxMAUgJw4BIyIAERAAMzIWFz4BMzISHQEhEiEyNjcVDgEBFBYzMjY1NCYjIgYlIgYHITQmBZb%2B230%2B0Ynf%2FvQBBuuDzT46wH7J7v0nCAFKXqFXWJj7IZino5mbpaaVBEd%2FkQwCIIQU63R3ATEBCAEJASx3cnB5%2Fvfiaf53IyeUJyACOdPb1dHd1djYpJ6epAABAQwE2QOuBiEADgAYQAkHABAPCwSADgkALzMazTIREgE5OTEwAT4BNzMeARcVIyYnBgcjAQx%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%2B9wAAAAABABkDwQFEBbYABwAStgUBCAkFBwMAP8YREgE5OTEwARcGAgcjEjcBNQ8aYjV6RiAFthZk%2FvdyAR3YAP%2F%2FAD%2F%2B%2BAFtAO4SBgAPAAAAAgAZA8ECtAW2AAcADwAaQAwEAQ0JBBARAAgDDAMAPzPNMhESARc5MTABJzYTMwYCByEnNhI3MwYHAZYPOHp7HjsN%2FdcMFmI4e0IlA8EW1wEIc%2F7fYRZaAQx5%2FvcAAAAAAgAZA8ECtAW2AAcAEAAaQAwJDQEFBBESDQUQBwMAPzPGMhESARc5MTABFwYCByMSNyEXBgIHIzYSNwE1DxpiNXpGIAInDhhgOH0aQg0FthZk%2FvdyAR3YFlv%2B9npkATRdAAAA%2F%2F8AGf75ArQA7hEHAM4AAPs4ACC3AQAHQA0NSAe4%2F8CzDAxIB7j%2FwLMJCUgHABErKys1NQABAKQB9AJeA%2BMACwATtgYAAAwNCQMAL80REgE5ETMxMBM0NjMyFhUUBiMiJqRxbGl0c2prcgLseX58e3eBgwAAAQBSAHUCHwO%2BAAYAGkAKBAIDBgIGCAcFAQAvLxESATk5ETMRMzEwEwEXCQEHAVIBVnf%2B3wEhd%2F6qAicBl0X%2Bov6hRwGXAAAAAQBQAHUCHQO%2BAAYAGkAKAwAEAgACCAcFAQAvLxESATk5ETMRMzEwCQEnCQE3AQId%2Fqh1AR%2F%2B4XUBWAIM%2FmlHAV8BXkX%2BaQAAAf55AAACjwW2AAMAE7cABQIEAwMCEgA%2FPxEBMxEzMTAJASMBAo%2F8eY8DhwW2%2BkoFtgAAAAIAFAJKArQFvAAKABQAPEAfFAULBwMDCQIAAgUDFRYBBQUJDxQfFAIUFAMOBx8DIAA%2FPzMSOS9dMzMRMxESARc5ETMzETMzETMxMAEjFSM1ITUBMxEzITU0Nw4DDwECtH2R%2Fm4BmIt9%2FvIGBRgeHguoAxTKymUCQ%2F3Nw4ZLDCctLRH2AAEAP%2F%2FsBIkFywAmAHFAPx0XHxYWGgsCBwcaJBEEChoXBicoCxcYF05ZCBgFHR4dTlkCHg8eHx4vHgMJAxgeGB4TIiIATFkiBxMOTFkTGQA%2FKwAYPysREgA5ORgvL19eXREzKxEAMxEzKxEAMxESARc5ETMRMzMRMxEzETMxMAEgAyEVIQcVFyEVIR4BMzI3FQYjIgADIzUzJzU3IzUzEgAzMhcHJgMb%2FsFPAf799AICAc%2F%2BQSXLqpyZkqvt%2Ft8uppgCApikJwEk7cmlR6YFNf5tgTlALYG0xUKWQQENAQGBKixQgQEFASRhi1YAAAABAAAjAAABBdMYAAAKCvIABQAk%2F3EABQA3ACkABQA5ACkABQA6ACkABQA8ABQABQBE%2F64ABQBG%2F4UABQBH%2F4UABQBI%2F4UABQBK%2F8MABQBQ%2F8MABQBR%2F8MABQBS%2F4UABQBT%2F8MABQBU%2F4UABQBV%2F8MABQBW%2F8MABQBY%2F8MABQCC%2F3EABQCD%2F3EABQCE%2F3EABQCF%2F3EABQCG%2F3EABQCH%2F3EABQCfABQABQCi%2F4UABQCj%2F64ABQCk%2F64ABQCl%2F64ABQCm%2F64ABQCn%2F64ABQCo%2F64ABQCp%2F4UABQCq%2F4UABQCr%2F4UABQCs%2F4UABQCt%2F4UABQC0%2F4UABQC1%2F4UABQC2%2F4UABQC3%2F4UABQC4%2F4UABQC6%2F4UABQC7%2F8MABQC8%2F8MABQC9%2F8MABQC%2B%2F8MABQDE%2F4UACgAk%2F3EACgA3ACkACgA5ACkACgA6ACkACgA8ABQACgBE%2F64ACgBG%2F4UACgBH%2F4UACgBI%2F4UACgBK%2F8MACgBQ%2F8MACgBR%2F8MACgBS%2F4UACgBT%2F8MACgBU%2F4UACgBV%2F8MACgBW%2F8MACgBY%2F8MACgCC%2F3EACgCD%2F3EACgCE%2F3EACgCF%2F3EACgCG%2F3EACgCH%2F3EACgCfABQACgCi%2F4UACgCj%2F64ACgCk%2F64ACgCl%2F64ACgCm%2F64ACgCn%2F64ACgCo%2F64ACgCp%2F4UACgCq%2F4UACgCr%2F4UACgCs%2F4UACgCt%2F4UACgC0%2F4UACgC1%2F4UACgC2%2F4UACgC3%2F4UACgC4%2F4UACgC6%2F4UACgC7%2F8MACgC8%2F8MACgC9%2F8MACgC%2B%2F8MACgDE%2F4UACwAtALgADwAm%2F5oADwAq%2F5oADwAy%2F5oADwA0%2F5oADwA3%2F3EADwA4%2F9cADwA5%2F4UADwA6%2F4UADwA8%2F4UADwCJ%2F5oADwCU%2F5oADwCV%2F5oADwCW%2F5oADwCX%2F5oADwCY%2F5oADwCa%2F5oADwCb%2F9cADwCc%2F9cADwCd%2F9cADwCe%2F9cADwCf%2F4UADwDD%2F5oAEAA3%2F64AEQAm%2F5oAEQAq%2F5oAEQAy%2F5oAEQA0%2F5oAEQA3%2F3EAEQA4%2F9cAEQA5%2F4UAEQA6%2F4UAEQA8%2F4UAEQCJ%2F5oAEQCU%2F5oAEQCV%2F5oAEQCW%2F5oAEQCX%2F5oAEQCY%2F5oAEQCa%2F5oAEQCb%2F9cAEQCc%2F9cAEQCd%2F9cAEQCe%2F9cAEQCf%2F4UAEQDD%2F5oAJAAF%2F3EAJAAK%2F3EAJAAm%2F9cAJAAq%2F9cAJAAtAQoAJAAy%2F9cAJAA0%2F9cAJAA3%2F3EAJAA5%2F64AJAA6%2F64AJAA8%2F4UAJACJ%2F9cAJACU%2F9cAJACV%2F9cAJACW%2F9cAJACX%2F9cAJACY%2F9cAJACa%2F9cAJACf%2F4UAJADD%2F9cAJADL%2F3EAJADO%2F3EAJQAP%2F64AJQAR%2F64AJQAk%2F9cAJQA3%2F8MAJQA5%2F%2BwAJQA6%2F%2BwAJQA7%2F9cAJQA8%2F%2BwAJQA9%2F%2BwAJQCC%2F9cAJQCD%2F9cAJQCE%2F9cAJQCF%2F9cAJQCG%2F9cAJQCH%2F9cAJQCf%2F%2BwAJQDM%2F64AJQDP%2F64AJgAm%2F9cAJgAq%2F9cAJgAy%2F9cAJgA0%2F9cAJgCJ%2F9cAJgCU%2F9cAJgCV%2F9cAJgCW%2F9cAJgCX%2F9cAJgCY%2F9cAJgCa%2F9cAJgDD%2F9cAJwAP%2F64AJwAR%2F64AJwAk%2F9cAJwA3%2F8MAJwA5%2F%2BwAJwA6%2F%2BwAJwA7%2F9cAJwA8%2F%2BwAJwA9%2F%2BwAJwCC%2F9cAJwCD%2F9cAJwCE%2F9cAJwCF%2F9cAJwCG%2F9cAJwCH%2F9cAJwCf%2F%2BwAJwDM%2F64AJwDP%2F64AKAAtAHsAKQAP%2F4UAKQAR%2F4UAKQAiACkAKQAk%2F9cAKQCC%2F9cAKQCD%2F9cAKQCE%2F9cAKQCF%2F9cAKQCG%2F9cAKQCH%2F9cAKQDM%2F4UAKQDP%2F4UALgAm%2F9cALgAq%2F9cALgAy%2F9cALgA0%2F9cALgCJ%2F9cALgCU%2F9cALgCV%2F9cALgCW%2F9cALgCX%2F9cALgCY%2F9cALgCa%2F9cALgDD%2F9cALwAF%2F1wALwAK%2F1wALwAm%2F9cALwAq%2F9cALwAy%2F9cALwA0%2F9cALwA3%2F9cALwA4%2F%2BwALwA5%2F9cALwA6%2F9cALwA8%2F8MALwCJ%2F9cALwCU%2F9cALwCV%2F9cALwCW%2F9cALwCX%2F9cALwCY%2F9cALwCa%2F9cALwCb%2F%2BwALwCc%2F%2BwALwCd%2F%2BwALwCe%2F%2BwALwCf%2F8MALwDD%2F9cALwDL%2F1wALwDO%2F1wAMgAP%2F64AMgAR%2F64AMgAk%2F9cAMgA3%2F8MAMgA5%2F%2BwAMgA6%2F%2BwAMgA7%2F9cAMgA8%2F%2BwAMgA9%2F%2BwAMgCC%2F9cAMgCD%2F9cAMgCE%2F9cAMgCF%2F9cAMgCG%2F9cAMgCH%2F9cAMgCf%2F%2BwAMgDM%2F64AMgDP%2F64AMwAP%2FvYAMwAR%2FvYAMwAk%2F5oAMwA7%2F9cAMwA9%2F%2BwAMwCC%2F5oAMwCD%2F5oAMwCE%2F5oAMwCF%2F5oAMwCG%2F5oAMwCH%2F5oAMwDM%2FvYAMwDP%2FvYANAAP%2F64ANAAR%2F64ANAAk%2F9cANAA3%2F8MANAA5%2F%2BwANAA6%2F%2BwANAA7%2F9cANAA8%2F%2BwANAA9%2F%2BwANACC%2F9cANACD%2F9cANACE%2F9cANACF%2F9cANACG%2F9cANACH%2F9cANACf%2F%2BwANADM%2F64ANADP%2F64ANwAP%2F4UANwAQ%2F64ANwAR%2F4UANwAiACkANwAk%2F3EANwAm%2F9cANwAq%2F9cANwAy%2F9cANwA0%2F9cANwA3ACkANwBE%2F1wANwBG%2F3EANwBH%2F3EANwBI%2F3EANwBK%2F3EANwBQ%2F5oANwBR%2F5oANwBS%2F3EANwBT%2F5oANwBU%2F3EANwBV%2F5oANwBW%2F4UANwBY%2F5oANwBZ%2F9cANwBa%2F9cANwBb%2F9cANwBc%2F9cANwBd%2F64ANwCC%2F3EANwCD%2F3EANwCE%2F3EANwCF%2F3EANwCG%2F3EANwCH%2F3EANwCJ%2F9cANwCU%2F9cANwCV%2F9cANwCW%2F9cANwCX%2F9cANwCY%2F9cANwCa%2F9cANwCi%2F3EANwCj%2F1wANwCk%2F1wANwCl%2F1wANwCm%2F1wANwCn%2F1wANwCo%2F1wANwCp%2F3EANwCq%2F3EANwCr%2F3EANwCs%2F3EANwCt%2F3EANwC0%2F3EANwC1%2F3EANwC2%2F3EANwC3%2F3EANwC4%2F3EANwC6%2F3EANwC7%2F5oANwC8%2F5oANwC9%2F5oANwC%2B%2F5oANwC%2F%2F9cANwDD%2F9cANwDE%2F3EANwDI%2F64ANwDJ%2F64ANwDM%2F4UANwDP%2F4UAOAAP%2F9cAOAAR%2F9cAOAAk%2F%2BwAOACC%2F%2BwAOACD%2F%2BwAOACE%2F%2BwAOACF%2F%2BwAOACG%2F%2BwAOACH%2F%2BwAOADM%2F9cAOADP%2F9cAOQAP%2F5oAOQAR%2F5oAOQAiACkAOQAk%2F64AOQAm%2F%2BwAOQAq%2F%2BwAOQAy%2F%2BwAOQA0%2F%2BwAOQBE%2F9cAOQBG%2F9cAOQBH%2F9cAOQBI%2F9cAOQBK%2F%2BwAOQBQ%2F%2BwAOQBR%2F%2BwAOQBS%2F9cAOQBT%2F%2BwAOQBU%2F9cAOQBV%2F%2BwAOQBW%2F%2BwAOQBY%2F%2BwAOQCC%2F64AOQCD%2F64AOQCE%2F64AOQCF%2F64AOQCG%2F64AOQCH%2F64AOQCJ%2F%2BwAOQCU%2F%2BwAOQCV%2F%2BwAOQCW%2F%2BwAOQCX%2F%2BwAOQCY%2F%2BwAOQCa%2F%2BwAOQCi%2F9cAOQCj%2F9cAOQCk%2F9cAOQCl%2F9cAOQCm%2F9cAOQCn%2F9cAOQCo%2F9cAOQCp%2F9cAOQCq%2F9cAOQCr%2F9cAOQCs%2F9cAOQCt%2F9cAOQC0%2F9cAOQC1%2F9cAOQC2%2F9cAOQC3%2F9cAOQC4%2F9cAOQC6%2F9cAOQC7%2F%2BwAOQC8%2F%2BwAOQC9%2F%2BwAOQC%2B%2F%2BwAOQDD%2F%2BwAOQDE%2F9cAOQDM%2F5oAOQDP%2F5oAOgAP%2F5oAOgAR%2F5oAOgAiACkAOgAk%2F64AOgAm%2F%2BwAOgAq%2F%2BwAOgAy%2F%2BwAOgA0%2F%2BwAOgBE%2F9cAOgBG%2F9cAOgBH%2F9cAOgBI%2F9cAOgBK%2F%2BwAOgBQ%2F%2BwAOgBR%2F%2BwAOgBS%2F9cAOgBT%2F%2BwAOgBU%2F9cAOgBV%2F%2BwAOgBW%2F%2BwAOgBY%2F%2BwAOgCC%2F64AOgCD%2F64AOgCE%2F64AOgCF%2F64AOgCG%2F64AOgCH%2F64AOgCJ%2F%2BwAOgCU%2F%2BwAOgCV%2F%2BwAOgCW%2F%2BwAOgCX%2F%2BwAOgCY%2F%2BwAOgCa%2F%2BwAOgCi%2F9cAOgCj%2F9cAOgCk%2F9cAOgCl%2F9cAOgCm%2F9cAOgCn%2F9cAOgCo%2F9cAOgCp%2F9cAOgCq%2F9cAOgCr%2F9cAOgCs%2F9cAOgCt%2F9cAOgC0%2F9cAOgC1%2F9cAOgC2%2F9cAOgC3%2F9cAOgC4%2F9cAOgC6%2F9cAOgC7%2F%2BwAOgC8%2F%2BwAOgC9%2F%2BwAOgC%2B%2F%2BwAOgDD%2F%2BwAOgDE%2F9cAOgDM%2F5oAOgDP%2F5oAOwAm%2F9cAOwAq%2F9cAOwAy%2F9cAOwA0%2F9cAOwCJ%2F9cAOwCU%2F9cAOwCV%2F9cAOwCW%2F9cAOwCX%2F9cAOwCY%2F9cAOwCa%2F9cAOwDD%2F9cAPAAP%2F4UAPAAR%2F4UAPAAiACkAPAAk%2F4UAPAAm%2F9cAPAAq%2F9cAPAAy%2F9cAPAA0%2F9cAPABE%2F5oAPABG%2F5oAPABH%2F5oAPABI%2F5oAPABK%2F9cAPABQ%2F8MAPABR%2F8MAPABS%2F5oAPABT%2F8MAPABU%2F5oAPABV%2F8MAPABW%2F64APABY%2F8MAPABd%2F9cAPACC%2F4UAPACD%2F4UAPACE%2F4UAPACF%2F4UAPACG%2F4UAPACH%2F4UAPACJ%2F9cAPACU%2F9cAPACV%2F9cAPACW%2F9cAPACX%2F9cAPACY%2F9cAPACa%2F9cAPACi%2F5oAPACj%2F5oAPACk%2F5oAPACl%2F5oAPACm%2F5oAPACn%2F5oAPACo%2F5oAPACp%2F5oAPACq%2F5oAPACr%2F5oAPACs%2F5oAPACt%2F5oAPAC0%2F5oAPAC1%2F5oAPAC2%2F5oAPAC3%2F5oAPAC4%2F5oAPAC6%2F5oAPAC7%2F8MAPAC8%2F8MAPAC9%2F8MAPAC%2B%2F8MAPADD%2F9cAPADE%2F5oAPADM%2F4UAPADP%2F4UAPQAm%2F%2BwAPQAq%2F%2BwAPQAy%2F%2BwAPQA0%2F%2BwAPQCJ%2F%2BwAPQCU%2F%2BwAPQCV%2F%2BwAPQCW%2F%2BwAPQCX%2F%2BwAPQCY%2F%2BwAPQCa%2F%2BwAPQDD%2F%2BwAPgAtALgARAAF%2F%2BwARAAK%2F%2BwARADL%2F%2BwARADO%2F%2BwARQAF%2F%2BwARQAK%2F%2BwARQBZ%2F9cARQBa%2F9cARQBb%2F9cARQBc%2F9cARQBd%2F%2BwARQC%2F%2F9cARQDL%2F%2BwARQDO%2F%2BwARgAFACkARgAKACkARgDLACkARgDOACkASAAF%2F%2BwASAAK%2F%2BwASABZ%2F9cASABa%2F9cASABb%2F9cASABc%2F9cASABd%2F%2BwASAC%2F%2F9cASADL%2F%2BwASADO%2F%2BwASQAFAHsASQAKAHsASQDLAHsASQDOAHsASwAF%2F%2BwASwAK%2F%2BwASwDL%2F%2BwASwDO%2F%2BwATgBG%2F9cATgBH%2F9cATgBI%2F9cATgBS%2F9cATgBU%2F9cATgCi%2F9cATgCp%2F9cATgCq%2F9cATgCr%2F9cATgCs%2F9cATgCt%2F9cATgC0%2F9cATgC1%2F9cATgC2%2F9cATgC3%2F9cATgC4%2F9cATgC6%2F9cATgDE%2F9cAUAAF%2F%2BwAUAAK%2F%2BwAUADL%2F%2BwAUADO%2F%2BwAUQAF%2F%2BwAUQAK%2F%2BwAUQDL%2F%2BwAUQDO%2F%2BwAUgAF%2F%2BwAUgAK%2F%2BwAUgBZ%2F9cAUgBa%2F9cAUgBb%2F9cAUgBc%2F9cAUgBd%2F%2BwAUgC%2F%2F9cAUgDL%2F%2BwAUgDO%2F%2BwAUwAF%2F%2BwAUwAK%2F%2BwAUwBZ%2F9cAUwBa%2F9cAUwBb%2F9cAUwBc%2F9cAUwBd%2F%2BwAUwC%2F%2F9cAUwDL%2F%2BwAUwDO%2F%2BwAVQAFAFIAVQAKAFIAVQBE%2F9cAVQBG%2F9cAVQBH%2F9cAVQBI%2F9cAVQBK%2F%2BwAVQBS%2F9cAVQBU%2F9cAVQCi%2F9cAVQCj%2F9cAVQCk%2F9cAVQCl%2F9cAVQCm%2F9cAVQCn%2F9cAVQCo%2F9cAVQCp%2F9cAVQCq%2F9cAVQCr%2F9cAVQCs%2F9cAVQCt%2F9cAVQC0%2F9cAVQC1%2F9cAVQC2%2F9cAVQC3%2F9cAVQC4%2F9cAVQC6%2F9cAVQDE%2F9cAVQDLAFIAVQDOAFIAVwAFACkAVwAKACkAVwDLACkAVwDOACkAWQAFAFIAWQAKAFIAWQAP%2F64AWQAR%2F64AWQAiACkAWQDLAFIAWQDM%2F64AWQDOAFIAWQDP%2F64AWgAFAFIAWgAKAFIAWgAP%2F64AWgAR%2F64AWgAiACkAWgDLAFIAWgDM%2F64AWgDOAFIAWgDP%2F64AWwBG%2F9cAWwBH%2F9cAWwBI%2F9cAWwBS%2F9cAWwBU%2F9cAWwCi%2F9cAWwCp%2F9cAWwCq%2F9cAWwCr%2F9cAWwCs%2F9cAWwCt%2F9cAWwC0%2F9cAWwC1%2F9cAWwC2%2F9cAWwC3%2F9cAWwC4%2F9cAWwC6%2F9cAWwDE%2F9cAXAAFAFIAXAAKAFIAXAAP%2F64AXAAR%2F64AXAAiACkAXADLAFIAXADM%2F64AXADOAFIAXADP%2F64AXgAtALgAggAF%2F3EAggAK%2F3EAggAm%2F9cAggAq%2F9cAggAtAQoAggAy%2F9cAggA0%2F9cAggA3%2F3EAggA5%2F64AggA6%2F64AggA8%2F4UAggCJ%2F9cAggCU%2F9cAggCV%2F9cAggCW%2F9cAggCX%2F9cAggCY%2F9cAggCa%2F9cAggCf%2F4UAggDD%2F9cAggDL%2F3EAggDO%2F3EAgwAF%2F3EAgwAK%2F3EAgwAm%2F9cAgwAq%2F9cAgwAtAQoAgwAy%2F9cAgwA0%2F9cAgwA3%2F3EAgwA5%2F64AgwA6%2F64AgwA8%2F4UAgwCJ%2F9cAgwCU%2F9cAgwCV%2F9cAgwCW%2F9cAgwCX%2F9cAgwCY%2F9cAgwCa%2F9cAgwCf%2F4UAgwDD%2F9cAgwDL%2F3EAgwDO%2F3EAhAAF%2F3EAhAAK%2F3EAhAAm%2F9cAhAAq%2F9cAhAAtAQoAhAAy%2F9cAhAA0%2F9cAhAA3%2F3EAhAA5%2F64AhAA6%2F64AhAA8%2F4UAhACJ%2F9cAhACU%2F9cAhACV%2F9cAhACW%2F9cAhACX%2F9cAhACY%2F9cAhACa%2F9cAhACf%2F4UAhADD%2F9cAhADL%2F3EAhADO%2F3EAhQAF%2F3EAhQAK%2F3EAhQAm%2F9cAhQAq%2F9cAhQAtAQoAhQAy%2F9cAhQA0%2F9cAhQA3%2F3EAhQA5%2F64AhQA6%2F64AhQA8%2F4UAhQCJ%2F9cAhQCU%2F9cAhQCV%2F9cAhQCW%2F9cAhQCX%2F9cAhQCY%2F9cAhQCa%2F9cAhQCf%2F4UAhQDD%2F9cAhQDL%2F3EAhQDO%2F3EAhgAF%2F3EAhgAK%2F3EAhgAm%2F9cAhgAq%2F9cAhgAtAQoAhgAy%2F9cAhgA0%2F9cAhgA3%2F3EAhgA5%2F64AhgA6%2F64AhgA8%2F4UAhgCJ%2F9cAhgCU%2F9cAhgCV%2F9cAhgCW%2F9cAhgCX%2F9cAhgCY%2F9cAhgCa%2F9cAhgCf%2F4UAhgDD%2F9cAhgDL%2F3EAhgDO%2F3EAhwAF%2F3EAhwAK%2F3EAhwAm%2F9cAhwAq%2F9cAhwAtAQoAhwAy%2F9cAhwA0%2F9cAhwA3%2F3EAhwA5%2F64AhwA6%2F64AhwA8%2F4UAhwCJ%2F9cAhwCU%2F9cAhwCV%2F9cAhwCW%2F9cAhwCX%2F9cAhwCY%2F9cAhwCa%2F9cAhwCf%2F4UAhwDD%2F9cAhwDL%2F3EAhwDO%2F3EAiAAtAHsAiQAm%2F9cAiQAq%2F9cAiQAy%2F9cAiQA0%2F9cAiQCJ%2F9cAiQCU%2F9cAiQCV%2F9cAiQCW%2F9cAiQCX%2F9cAiQCY%2F9cAiQCa%2F9cAiQDD%2F9cAigAtAHsAiwAtAHsAjAAtAHsAjQAtAHsAkgAP%2F64AkgAR%2F64AkgAk%2F9cAkgA3%2F8MAkgA5%2F%2BwAkgA6%2F%2BwAkgA7%2F9cAkgA8%2F%2BwAkgA9%2F%2BwAkgCC%2F9cAkgCD%2F9cAkgCE%2F9cAkgCF%2F9cAkgCG%2F9cAkgCH%2F9cAkgCf%2F%2BwAkgDM%2F64AkgDP%2F64AlAAP%2F64AlAAR%2F64AlAAk%2F9cAlAA3%2F8MAlAA5%2F%2BwAlAA6%2F%2BwAlAA7%2F9cAlAA8%2F%2BwAlAA9%2F%2BwAlACC%2F9cAlACD%2F9cAlACE%2F9cAlACF%2F9cAlACG%2F9cAlACH%2F9cAlACf%2F%2BwAlADM%2F64AlADP%2F64AlQAP%2F64AlQAR%2F64AlQAk%2F9cAlQA3%2F8MAlQA5%2F%2BwAlQA6%2F%2BwAlQA7%2F9cAlQA8%2F%2BwAlQA9%2F%2BwAlQCC%2F9cAlQCD%2F9cAlQCE%2F9cAlQCF%2F9cAlQCG%2F9cAlQCH%2F9cAlQCf%2F%2BwAlQDM%2F64AlQDP%2F64AlgAP%2F64AlgAR%2F64AlgAk%2F9cAlgA3%2F8MAlgA5%2F%2BwAlgA6%2F%2BwAlgA7%2F9cAlgA8%2F%2BwAlgA9%2F%2BwAlgCC%2F9cAlgCD%2F9cAlgCE%2F9cAlgCF%2F9cAlgCG%2F9cAlgCH%2F9cAlgCf%2F%2BwAlgDM%2F64AlgDP%2F64AlwAP%2F64AlwAR%2F64AlwAk%2F9cAlwA3%2F8MAlwA5%2F%2BwAlwA6%2F%2BwAlwA7%2F9cAlwA8%2F%2BwAlwA9%2F%2BwAlwCC%2F9cAlwCD%2F9cAlwCE%2F9cAlwCF%2F9cAlwCG%2F9cAlwCH%2F9cAlwCf%2F%2BwAlwDM%2F64AlwDP%2F64AmAAP%2F64AmAAR%2F64AmAAk%2F9cAmAA3%2F8MAmAA5%2F%2BwAmAA6%2F%2BwAmAA7%2F9cAmAA8%2F%2BwAmAA9%2F%2BwAmACC%2F9cAmACD%2F9cAmACE%2F9cAmACF%2F9cAmACG%2F9cAmACH%2F9cAmACf%2F%2BwAmADM%2F64AmADP%2F64AmgAP%2F64AmgAR%2F64AmgAk%2F9cAmgA3%2F8MAmgA5%2F%2BwAmgA6%2F%2BwAmgA7%2F9cAmgA8%2F%2BwAmgA9%2F%2BwAmgCC%2F9cAmgCD%2F9cAmgCE%2F9cAmgCF%2F9cAmgCG%2F9cAmgCH%2F9cAmgCf%2F%2BwAmgDM%2F64AmgDP%2F64AmwAP%2F9cAmwAR%2F9cAmwAk%2F%2BwAmwCC%2F%2BwAmwCD%2F%2BwAmwCE%2F%2BwAmwCF%2F%2BwAmwCG%2F%2BwAmwCH%2F%2BwAmwDM%2F9cAmwDP%2F9cAnAAP%2F9cAnAAR%2F9cAnAAk%2F%2BwAnACC%2F%2BwAnACD%2F%2BwAnACE%2F%2BwAnACF%2F%2BwAnACG%2F%2BwAnACH%2F%2BwAnADM%2F9cAnADP%2F9cAnQAP%2F9cAnQAR%2F9cAnQAk%2F%2BwAnQCC%2F%2BwAnQCD%2F%2BwAnQCE%2F%2BwAnQCF%2F%2BwAnQCG%2F%2BwAnQCH%2F%2BwAnQDM%2F9cAnQDP%2F9cAngAP%2F9cAngAR%2F9cAngAk%2F%2BwAngCC%2F%2BwAngCD%2F%2BwAngCE%2F%2BwAngCF%2F%2BwAngCG%2F%2BwAngCH%2F%2BwAngDM%2F9cAngDP%2F9cAnwAP%2F4UAnwAR%2F4UAnwAiACkAnwAk%2F4UAnwAm%2F9cAnwAq%2F9cAnwAy%2F9cAnwA0%2F9cAnwBE%2F5oAnwBG%2F5oAnwBH%2F5oAnwBI%2F5oAnwBK%2F9cAnwBQ%2F8MAnwBR%2F8MAnwBS%2F5oAnwBT%2F8MAnwBU%2F5oAnwBV%2F8MAnwBW%2F64AnwBY%2F8MAnwBd%2F9cAnwCC%2F4UAnwCD%2F4UAnwCE%2F4UAnwCF%2F4UAnwCG%2F4UAnwCH%2F4UAnwCJ%2F9cAnwCU%2F9cAnwCV%2F9cAnwCW%2F9cAnwCX%2F9cAnwCY%2F9cAnwCa%2F9cAnwCi%2F5oAnwCj%2F5oAnwCk%2F5oAnwCl%2F5oAnwCm%2F5oAnwCn%2F5oAnwCo%2F5oAnwCp%2F5oAnwCq%2F5oAnwCr%2F5oAnwCs%2F5oAnwCt%2F5oAnwC0%2F5oAnwC1%2F5oAnwC2%2F5oAnwC3%2F5oAnwC4%2F5oAnwC6%2F5oAnwC7%2F8MAnwC8%2F8MAnwC9%2F8MAnwC%2B%2F8MAnwDD%2F9cAnwDE%2F5oAnwDM%2F4UAnwDP%2F4UAoAAP%2FvYAoAAR%2FvYAoAAk%2F5oAoAA7%2F9cAoAA9%2F%2BwAoACC%2F5oAoACD%2F5oAoACE%2F5oAoACF%2F5oAoACG%2F5oAoACH%2F5oAoADM%2FvYAoADP%2FvYAogAF%2F%2BwAogAK%2F%2BwAogDL%2F%2BwAogDO%2F%2BwAowAF%2F%2BwAowAK%2F%2BwAowDL%2F%2BwAowDO%2F%2BwApAAF%2F%2BwApAAK%2F%2BwApADL%2F%2BwApADO%2F%2BwApQAF%2F%2BwApQAK%2F%2BwApQDL%2F%2BwApQDO%2F%2BwApgAF%2F%2BwApgAK%2F%2BwApgDL%2F%2BwApgDO%2F%2BwApwAF%2F%2BwApwAK%2F%2BwApwDL%2F%2BwApwDO%2F%2BwAqgAF%2F%2BwAqgAK%2F%2BwAqgBZ%2F9cAqgBa%2F9cAqgBb%2F9cAqgBc%2F9cAqgBd%2F%2BwAqgC%2F%2F9cAqgDL%2F%2BwAqgDO%2F%2BwAqwAF%2F%2BwAqwAK%2F%2BwAqwBZ%2F9cAqwBa%2F9cAqwBb%2F9cAqwBc%2F9cAqwBd%2F%2BwAqwC%2F%2F9cAqwDL%2F%2BwAqwDO%2F%2BwArAAF%2F%2BwArAAK%2F%2BwArABZ%2F9cArABa%2F9cArABb%2F9cArABc%2F9cArABd%2F%2BwArAC%2F%2F9cArADL%2F%2BwArADO%2F%2BwArQAF%2F%2BwArQAK%2F%2BwArQBZ%2F9cArQBa%2F9cArQBb%2F9cArQBc%2F9cArQBd%2F%2BwArQC%2F%2F9cArQDL%2F%2BwArQDO%2F%2BwAsgAF%2F%2BwAsgAK%2F%2BwAsgBZ%2F9cAsgBa%2F9cAsgBb%2F9cAsgBc%2F9cAsgBd%2F%2BwAsgC%2F%2F9cAsgDL%2F%2BwAsgDO%2F%2BwAtAAF%2F%2BwAtAAK%2F%2BwAtABZ%2F9cAtABa%2F9cAtABb%2F9cAtABc%2F9cAtABd%2F%2BwAtAC%2F%2F9cAtADL%2F%2BwAtADO%2F%2BwAtQAF%2F%2BwAtQAK%2F%2BwAtQBZ%2F9cAtQBa%2F9cAtQBb%2F9cAtQBc%2F9cAtQBd%2F%2BwAtQC%2F%2F9cAtQDL%2F%2BwAtQDO%2F%2BwAtgAF%2F%2BwAtgAK%2F%2BwAtgBZ%2F9cAtgBa%2F9cAtgBb%2F9cAtgBc%2F9cAtgBd%2F%2BwAtgC%2F%2F9cAtgDL%2F%2BwAtgDO%2F%2BwAuAAF%2F9cAuAAK%2F9cAuADL%2F9cAuADO%2F9cAugAF%2F%2BwAugAK%2F%2BwAugBZ%2F9cAugBa%2F9cAugBb%2F9cAugBc%2F9cAugBd%2F%2BwAugC%2F%2F9cAugDL%2F%2BwAugDO%2F%2BwAvwAFAFIAvwAKAFIAvwAP%2F64AvwAR%2F64AvwAiACkAvwDLAFIAvwDM%2F64AvwDOAFIAvwDP%2F64AwAAF%2F%2BwAwAAK%2F%2BwAwABZ%2F9cAwABa%2F9cAwABb%2F9cAwABc%2F9cAwABd%2F%2BwAwAC%2F%2F9cAwADL%2F%2BwAwADO%2F%2BwAwQAFAFIAwQAKAFIAwQAP%2F64AwQAR%2F64AwQAiACkAwQDLAFIAwQDM%2F64AwQDOAFIAwQDP%2F64AwwAtAHsAyAA3%2F64AyQA3%2F64AygAk%2F3EAygA3ACkAygA5ACkAygA6ACkAygA8ABQAygBE%2F64AygBG%2F4UAygBH%2F4UAygBI%2F4UAygBK%2F8MAygBQ%2F8MAygBR%2F8MAygBS%2F4UAygBT%2F8MAygBU%2F4UAygBV%2F8MAygBW%2F8MAygBY%2F8MAygCC%2F3EAygCD%2F3EAygCE%2F3EAygCF%2F3EAygCG%2F3EAygCH%2F3EAygCfABQAygCi%2F4UAygCj%2F64AygCk%2F64AygCl%2F64AygCm%2F64AygCn%2F64AygCo%2F64AygCp%2F4UAygCq%2F4UAygCr%2F4UAygCs%2F4UAygCt%2F4UAygC0%2F4UAygC1%2F4UAygC2%2F4UAygC3%2F4UAygC4%2F4UAygC6%2F4UAygC7%2F8MAygC8%2F8MAygC9%2F8MAygC%2B%2F8MAygDE%2F4UAywAk%2F3EAywA3ACkAywA5ACkAywA6ACkAywA8ABQAywBE%2F64AywBG%2F4UAywBH%2F4UAywBI%2F4UAywBK%2F8MAywBQ%2F8MAywBR%2F8MAywBS%2F4UAywBT%2F8MAywBU%2F4UAywBV%2F8MAywBW%2F8MAywBY%2F8MAywCC%2F3EAywCD%2F3EAywCE%2F3EAywCF%2F3EAywCG%2F3EAywCH%2F3EAywCfABQAywCi%2F4UAywCj%2F64AywCk%2F64AywCl%2F64AywCm%2F64AywCn%2F64AywCo%2F64AywCp%2F4UAywCq%2F4UAywCr%2F4UAywCs%2F4UAywCt%2F4UAywC0%2F4UAywC1%2F4UAywC2%2F4UAywC3%2F4UAywC4%2F4UAywC6%2F4UAywC7%2F8MAywC8%2F8MAywC9%2F8MAywC%2B%2F8MAywDE%2F4UAzAAm%2F5oAzAAq%2F5oAzAAy%2F5oAzAA0%2F5oAzAA3%2F3EAzAA4%2F9cAzAA5%2F4UAzAA6%2F4UAzAA8%2F4UAzACJ%2F5oAzACU%2F5oAzACV%2F5oAzACW%2F5oAzACX%2F5oAzACY%2F5oAzACa%2F5oAzACb%2F9cAzACc%2F9cAzACd%2F9cAzACe%2F9cAzACf%2F4UAzADD%2F5oAzQAk%2F3EAzQA3ACkAzQA5ACkAzQA6ACkAzQA8ABQAzQBE%2F64AzQBG%2F4UAzQBH%2F4UAzQBI%2F4UAzQBK%2F8MAzQBQ%2F8MAzQBR%2F8MAzQBS%2F4UAzQBT%2F8MAzQBU%2F4UAzQBV%2F8MAzQBW%2F8MAzQBY%2F8MAzQCC%2F3EAzQCD%2F3EAzQCE%2F3EAzQCF%2F3EAzQCG%2F3EAzQCH%2F3EAzQCfABQAzQCi%2F4UAzQCj%2F64AzQCk%2F64AzQCl%2F64AzQCm%2F64AzQCn%2F64AzQCo%2F64AzQCp%2F4UAzQCq%2F4UAzQCr%2F4UAzQCs%2F4UAzQCt%2F4UAzQC0%2F4UAzQC1%2F4UAzQC2%2F4UAzQC3%2F4UAzQC4%2F4UAzQC6%2F4UAzQC7%2F8MAzQC8%2F8MAzQC9%2F8MAzQC%2B%2F8MAzQDE%2F4UAzwAm%2F5oAzwAq%2F5oAzwAy%2F5oAzwA0%2F5oAzwA3%2F3EAzwA4%2F9cAzwA5%2F4UAzwA6%2F4UAzwA8%2F4UAzwCJ%2F5oAzwCU%2F5oAzwCV%2F5oAzwCW%2F5oAzwCX%2F5oAzwCY%2F5oAzwCa%2F5oAzwCb%2F9cAzwCc%2F9cAzwCd%2F9cAzwCe%2F9cAzwCf%2F4UAzwDD%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%2BAD8AQABBAEIAQwBEAEUARgBHAEgASQBKAEsATABNAE4ATwBQAFEAUgBTAFQAVQBWAFcAWABZAFoAWwBcAF0AXgBfAGAAYQCsAKMAhACFAL0AlgDoAIYAjgCLAJ0AqQCkAQIAigEDAIMAkwDyAPMAjQCXAIgAwwDeAPEAngCqAPUA9AD2AKIArQDJAMcArgBiAGMAkABkAMsAZQDIAMoAzwDMAM0AzgDpAGYA0wDQANEArwBnAPAAkQDWANQA1QBoAOsA7QCJAGoAaQBrAG0AbABuAKAAbwBxAHAAcgBzAHUAdAB2AHcA6gB4AHoAeQB7AH0AfAC4AKEAfwB%2BAIAAgQDsAO4AugDXALAAsQDYAN0A2QCyALMAtgC3AMQAtAC1AMUAhwC%2BAL8AvAEEAQUHdW5pMDBBRAlvdmVyc2NvcmUMZm91cnN1cGVyaW9yBEV1cm8AAAABAAMACAAKAA0AB%2F%2F%2FAA8AAAABAAAAAMmJbzEAAAAAyTUxiwAAAADJ7dhg%29%20format%28%27truetype%27%29%3B%0A%7D%0A%40font%2Dface%20%7B%0Afont%2Dfamily%3A%20%27Open%20Sans%27%3B%0Afont%2Dstyle%3A%20normal%3B%0Afont%2Dweight%3A%20600%3B%0Asrc%3A%20url%28data%3Aapplication%2Fx%2Dfont%2Dtruetype%3Bbase64%2CAAEAAAAQAQAABAAARkZUTVzEMhEAAJKkAAAAHE9TLzKiDbgUAAABiAAAAGBjbWFwjOjcmQAABUAAAAGyY3Z0IBCRGjQAAA%2FAAAAApmZwZ21%2BYbYRAAAG9AAAB7RnYXNwAAgAGwAAkpgAAAAMZ2x5ZhQyYgAAABIYAABUuGhlYWT5NRTiAAABDAAAADZoaGVhDrUE%2BgAAAUQAAAAkaG10eLHEUI0AAAHoAAADWGtlcm4Mlg8JAABm0AAAIwRsb2Nh0PO82gAAEGgAAAGubWF4cAJSAT8AAAFoAAAAIG5hbWUEDhKHAACJ1AAABs9wb3N0gnjp1QAAkKQAAAHycHJlcHism24AAA6oAAABGAABAAAAARmawtwUTF8PPPUAHwgAAAAAAMnt2GIAAAAAye3YYv53%2FhQHrgdzAAEACAACAAAAAAAAAAEAAAiN%2FagAAAgA%2Fnf%2BeweuAAEAAAAAAAAAAAAAAAAAAADWAAEAAADWAEQABQA%2FAAQAAgAQAC8AXAAAAQMAigADAAEAAwRsAlgABQAIBZoFMwAAAR8FmgUzAAAD0QBmAfYAAAILBwYDCAQCAgTgAALvQAAgWwAA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IkNTQ2Ny4BNTQ2AxQWMzI2NTQmLwEOAQEiBhUUHgEXPgE1NCYCSNDy%2FvKskf724%2B7%2B%2BomchnL6RpJ9gY%2BEhh2EdAENZHosVGR4Y3sFyb%2Bg4YVWvnW12sy7esNMULJvn737smhzd2ZRhjkNOosDP2NVNFJDLzV1TlVjAAACAFb%2F7AQ3BckAGAAlAERAIyIMDAAcEgAGEgMnJgwPFQ8fT1kPDwMVFRlNWRUHAwhPWQMZAD8rABg%2FKxESADkYLysREgA5ERIBFzkRMxEzETMxMAEQACEiJzUWMzISEyMOASMiJjU0ADMyFhIlIgYVFBYzMjY1NC4BBDf%2BpP6ihTpZWu7qCww7p3DC3gEB3pzofv4CeoJ5e3eiRXwDRv5Q%2FlYQxRkBAAESWlDy0%2BUBD5j%2B3%2FafkH2Pjl9Zm1oAAAACAIX%2F4wGuBGoACwAWAChAFBEMBgYAABgXDhRRWQ4QCQNRWQkTAD8rABg%2FKxESATkRMxI5OTEwNzQ2MzIWFRQGIyImETQzMhYVFAYjIiaFTEhJTE1ISEyUS0pNSEhMfUlOUUZHU1IDnpdQR0dTUgAAAgA%2F%2FvgBrARqAAYAEQAyQBsMBwEGBgQHAxMSBAAGEAaQBgMNAwYJD1FZCRAAPysAGC9fXl3GERIBFzkRMxEzMTAlFwYDIxI3AzQzMhYVFAYjIiYBjQ8wgK1FIiOUS0pNSEhM7he6%2FtsBDugC5ZdQR0dTUgABAGAA3QQxBOwABgAmQBYFAQABBAMIBwAPAwE%2FA28DjwPvAwQDAC9dccYREgEXOREzMTAlATUBFQkBBDH8LwPR%2FSMC3d0BrnkB6MP%2BqP7RAAIAZgGwBCkD8gADAAcALUAbBAcAAwQJCAQFUlkEAQEAUlkPAS8BTwFvAQQBAC9dKwAYEMYrERIBFzkxMBM1IRUBNSEVZgPD%2FD0DwwM%2Fs7P%2BcbKyAAEAYADdBDEE7AAGACZAFgEFAgUGAwgHBg8DAT8DbwOPA%2B8DBAMAL11xxhESARc5ETMxMBMJATUBFQFgAt39IwPR%2FC8BogEvAVjD%2Fhh5%2FlIAAgAQ%2F%2BMDbQXLABsAJgBBQCEhHBsABxMADhMcBCgnBBcXEAAAJBAQCktZEAQkHlFZJBMAPysAGD8rERIAORgvEjkRMxESARc5ETMRMxEzMTABNTQ2Nz4BNTQmIyIGByc2MzIWFRQOAQcOAR0BAzQzMhYVFAYjIiYBG1Bkd0VwaV%2BiTVTL6MTmLFltXT%2Ftk0hMTUdHTAG8QG6STl5oSFRaNiawccCpS3VqVUlgUS3%2BwZdPSEdTUQAAAAIAb%2F9WBr4FvgA1AD8ATEAmGwA7FDoHFjYOIy4ADhQWKC4GQUAICz0RETIYODgECwsrHzIDJisALzM%2FMxI5LzMzETMROS8zEjkREgEXOREzETMRMzMRMxEzMTABFA4BIyImJyMOASMiJjU0EjMyFhcDFRQzMjY1NAIkIyIEAhUQACEyNxUGIyAAERASJDMyBBIBFDMyEzcmIyIGBr5ao2tPdBQMMZBao7v40Uy5SBZoT12M%2Fv6n1f7FpgE2ASLd8NL3%2Fo7%2BYuABjfvZAVO7%2B%2Fy3wRIMP0iAjwLjj%2B2EVEhOTtKzzgEBGxj%2BLxigzJ6rAQOMsP652P7e%2FshapFYBjwFlAQUBl9i0%2FrP%2Bp%2BkBJe8RqgAAAAIAAAAABUoFvAAHAA8AN0AeBgUMAAcDBAECBAcIDA8HERAPAkxZDw8FAAQSDAUDAD8zPzMSOS8rERIBFzkRMxEzETMzMTAhAyEDIwEhCQEDLgEnBgcDBEyS%2FdGP%2FAIjAQQCI%2F4xiQ81Chs0hAGW%2FmoFvPpEAmQBjiisKHuS%2FoMAAwDBAAAE2QW2AA8AGAAhAElAJhQEHgsQGhoPBAgLDwQjIggZEBAZS1kQEA8AABhMWQADDxpMWQ8SAD8rABg%2FKxESADkYLysREgA5ERIBFzkRMxEzETMRMzEwEyEgBBUUBgcVHgEVFAQjIRMzMjY1NCYrARkBMzI2NTQmI8EBsgEuAQ2EfJqR%2Fu31%2FfDv5paKlaLP%2FpaZnJ8FtrC%2BgKoWCh2rksXfA1pfcmdc%2Far%2BMXN8cm4AAQB5%2F%2BwEzwXLABgAJkAUAw8JDxUDGhkTAExZEwQMBkxZDBMAPysAGD8rERIBFzkRMzEwASICERASMzI2NxUGIyAAETQSJDMyFwcuAQMvzuzj112uXqza%2Fr%2F%2BqKcBPNXgvlZKpQT%2B%2Ftz%2B%2F%2F7z%2FuwlHc1BAYUBauQBVrZexyM1AAACAMEAAAVmBbYACAAPAChAFA0ECQAEABARBQxMWQUDBA1MWQQSAD8rABg%2FKxESATk5ETMRMzEwARAAKQERISAAAxAhIxEzIAVm%2Fm7%2Bhv5nAcQBXQGE%2FP4Vz6oCEALp%2Fpb%2BgQW2%2Foj%2BowIN%2B9sAAAAAAQDBAAAD%2FAW2AAsAPUAgBAAGCgoBAAEIAw0MBglMWQYGAQICBUxZAgMBCkxZARIAPysAGD8rERIAORgvKxESARc5ETMRMxEzMTApAREhFSERIRUhESED%2FPzFAzv9tAIn%2FdkCTAW2yv5yyP41AAAAAAEAwQAAA%2FoFtgAJADhAHgYAAAEEBwEDCgsGCUxZDwYBCwMGBgIBEgIFTFkCAwA%2FKwAYPxI5L19eXSsREgEXOREzETMxMCEjESEVIREhFSEBru0DOf20Aif92QW2yv43ywAAAAABAHn%2F7AUxBcsAGgA6QB8YAhMIAggaDQQcGwAaTFkAAAULCxBMWQsEBRZMWQUTAD8rABg%2FKxESADkYLysREgEXOREzETMxMAEhEQ4BIyAAERAAITIXByYjIgAVEBIzMjcRIQMXAhqE843%2BtP6YAZYBZOXNVLKy6v7w9eZ0hP7RAxn9IiskAYkBZgFhAY9Yx1L%2B2v%2F%2B9P7pHQF5AAABAMEAAAVCBbYACwAzQBkIBAQFCQEBAAUADA0IA0xZCAgFCgYDAQUSAD8zPzMSOS8rERIBOTkRMxEzETMRMzEwISMRIREjETMRIREzBULw%2FV7v7wKi8AKT%2FW0Ftv2qAlYAAAAAAQDBAAABsAW2AAMAEbYABQQBAwASAD8%2FERIBOTEwMxEzEcHvBbb6SgAAAAAB%2F2T%2BaAGqBbYADAAfQA4KAwcHDg0IAwAFTFkAIwA%2FKwAYPxESATkRMzMxMBMiJzUWMzI1ETMRFAYIYkJUPsTw1f5oGckV%2BAWJ%2Bn%2Fg7QAAAAEAwQAABR0FtgAOADVAHAsMAQAIBAQFAAIFDA4FEA8CDgMIBAULBgMBBRIAPzM%2FMxIXORESARc5ETMRMxEzETMxMCkBAQcRIxEzETY3ASEABwUd%2Fuv%2BNY3v72JhAYsBEP6BpgKWc%2F3dBbb9RnhvAdP%2BPr8AAQDBAAAEGwW2AAUAH0AOAwAFAAcGAQMAA0xZABIAPysAGD8REgE5OREzMTAzETMRIRXB7wJrBbb7F80AAQDBAAAGogW2ABQAPkAfEgsODg0UAAkCCAUFBgYJDQMWFQISCQMGCwcDAA4GEgA%2FMzM%2FMxIXORESARc5ETMRMzMRMzMRMxEzMzEwIQEjEhURIxEhATMBIREjETQSNyMBAzn%2BWAgR2QFRAZYGAaIBUuYLBAj%2BSQTF%2FvDu%2FTkFtvt1BIv6SgLTbQFeJfs9AAAAAQDBAAAFgwW2ABEAMkAXDAEQEAADCgcHCAgAExIDDAgQCQMBCBIAPzM%2FMxI5ORESATk5ETMRMzMRMxEzMzEwKQEBIxcWFREjESEBMyYCNREzBYP%2B2%2F0xCAUO2QEiAs0GAgzbBI1Bupr9CAW2%2B3kXASFRAv4AAAAAAgB5%2F%2BwF0wXNAAsAFwAoQBQMBhIABgAYGQkVTFkJBAMPTFkDEwA%2FKwAYPysREgE5OREzETMxMAEQACEgABEQACEgAAEQEjMyEhEQAiMiAgXT%2Fpv%2Buf61%2Fp0BZQFLAUYBZPuk2tbV2dfV19sC3f6b%2FnQBiQFqAWoBhP52%2Fpr%2B8v7pARQBEQENARb%2B6gACAMEAAASJBbYACgATADJAGQ8ACwUFBgYAFRQLBExZCwsHBhIHE0xZBwMAPysAGD8SOS8rERIBOTkRMxEzETMxMAEUBCEjESMRISAEATMyNjU0JisBBIn%2B1P7rmO8BpQESARH9J3%2B4rJqjpgP85fT93QW24P4WgIh%2BfAAAAgB5%2FqQF0wXNAA8AGwA7QB8FBAMGFgAQCgAEBgoEHRwNGUxZDQQFBwMHBxNMWQcTAD8rEQAzGBDGPysREgEXOREzETMRMxEzMTABEAIHASEBIyAAERAAISAAARASMzISERACIyICBdPLwgFe%2Fr7%2B7Cf%2Btf6dAWUBSwFGAWT7pNrW1dnX1dfbAt3%2B9v6USv6HAUgBiQFqAWoBhP52%2Fpr%2B8v7pARQBEQENARb%2B6gAAAAACAMEAAAUKBbYACAAVAERAIxIVBBAUEwAKCgsLEBMVBBcWEgkACUtZAAAMFAsSDAhMWQwDAD8rABg%2FMxI5LysRADMREgEXOREzETMRMxEzETMxMAEzMjY1NCYrARkBIxEhIAQVEAUBIQEBsKanlqKjnu8BnQEbARD%2B5AGd%2FvD%2BogMOfHp8bP1c%2FbgFttTW%2Fu90%2FXkCSAAAAAEAZP%2FsBAwFywAkADRAGwwAHRIFEhcABCYlDB0DFRUaTFkVBAMJTFkDEwA%2FKwAYPysREgA5ORESARc5ETMRMzEwARQEIyInNR4BMzI2NTQmJy4BNTQkMzIXByYjIgYVFB4BFx4CBAz%2B5vj4nmThYY6HfMLIpAEE29LQTMOZdHgwbo%2BhlkYBjcPeTeIvNmxbUnJOUdCSt9Jcw1JlUzlRSDtDdJIAAQAdAAAEaAW2AAcAJUASAAEBAwYDCQgBEgcDBANMWQQDAD8rEQAzGD8REgEXOREzMTAhIxEhNSEVIQK67%2F5SBEv%2BUgTpzc0AAQC0%2F%2BwFOwW2ABEAJUAREAELCAgBExIRCQMFDkxZBRMAPysAGD8zERIBOTkRMxEzMTABERQGBCMgADURMxEUFjMgGQEFO4v%2B%2Bbf%2B8P7S8KiuAVIFtvxOovODASD8A678Y7WsAWMDmwABAAAAAAT6BbYADAAqQBQDAgkAAQUEAQQJAw4NCQMABAMDEgA%2FPzMSORESARc5ETMRMxEzMzEwATMBIwEzAR4BFz4BNwQC%2BP4A%2FP4C9gExGDYIDTYRBbb6SgW2%2FHNBzTJMyDAAAQAMAAAHgwW2ABwAQEAhAQAYCgkQFRQFGxwNDAUMEBgcBR4dEAUYAwobFAwDAQoSAD8zPzMzEhc5ERIBFzkRMxEzETMzETMzETMzMTApAQMuAScOAQcDIQsBMxMWFz4BNxMzExYXNjcTMwYG%2Fvz4EDAFCi0P8v78vcD00TEVCywS7u30IycPOdDyA2g51ypAzDL8nALcAtr8rM2dVdJBA1b8pnftj90DUgAAAAEABAAABPYFtgALADVAHAEACQoHBgMEBAACBQYICgsIDQwCCAQJBgMBBBIAPzM%2FMxI5ORESARc5ETMRMxEzETMxMCkBCQEhCQEhCQEhAQT2%2Fu3%2Bkv6P%2FwAB5f46AQoBUgFSAQL%2BNwJW%2FaoC9gLA%2FdcCKf08AAAAAAEAAAAABLwFtgAIACxAFQECCAcABAQFAgUHAwoJAAUBBwMFEgA%2FPzMSORESARc5ETMSOREzETMxMAkBIQERIxEBIQJeAVoBBP4Z8P4bAQQDGwKb%2FIH9yQIvA4cAAQBCAAAEWAW2AAkAOEAdAwcIAgACBAcECwoHBAUFBExZBQMCCAEBCExZARIAPysREgA5GD8rERIAORESARc5ETMRMzEwKQE1ASE1IRUBIQRY%2B%2BoC4f0zA%2B79HAL4pgRDzaj7vwAAAAABAJr%2BvAJxBbYABwAfQA0EAAYBAQAJCAYBBQIDAD8zLzMREgE5OREzETMxMAEhESEVIREhAnH%2BKQHX%2FwABAP68Bvqw%2BmcAAAABABAAAAMOBbYAAwAcQAwCAQADAwEFBAMDAhIAPz8REgE5OREzETMxMBMBIwHuAiDd%2Fd8FtvpKBbYAAAABADP%2BvAIIBbYABwAfQA0DAAEGBgAJCAAHAwQDAD8zLzMREgE5OREzETMxMBchESE1IREhMwEA%2FwAB1f4rkwWZsPkGAAEAHQIXBC8FvgAGACdAEgIBBQQDBgAAAwUDCAcFAAQCAwA%2FzTI5ERIBFzkRMxEzETMzMTATATMBIwkBHQG0eQHlwv6j%2Fs0CFwOn%2FFkCtv1KAAAAAAH%2F%2FP7BA3P%2FSAADABG1AwUCBAECAC8zEQEzETMxMAEhNSEDc%2FyJA3f%2BwYcAAQFqBNkDUAYhAAkAE7YIAwsKBYAAAC8azRESATk5MTABLgEnNSEeARcVArJF0zABESaDLATZNMU6FUa2MxkAAAIAWv%2FsBAQEZgAbACYASUAmDAEfHxskCAgUGwMoJwIFFwwgSlkMDAUXABUXEEhZFxAFHEhZBRYAPysAGD8rABg%2FERI5LysREgA5ERIBFzkRMxEzETMzMTAhJyMOASMiJjU0NiU3NTQmIyIGByc%2BATMyFhURJTI2PQEHDgEVFBYDXC8IUKJ%2Fo7f%2BAQS%2FY2hVnEhMWtZf09f9%2BoCbjqaXWJplSbChq64IBjtqaTIiqC8xuMX9F6CPgWAGBmNmSlEAAAIAqP%2FsBJMGFAATAB8AQEAhCRgRAw0eAw0LCwMhIAgRBgAMAAsVABRGWQAQBhtGWQYWAD8rABg%2FKwAYPz8REjk5ERIBOTkRMxEzERczMTABMhIREAIjIicjByMRMxEUBgczNhciBgcVFBYzMjY1EALdz%2Bfq0NJ0ECuw6wgCCnCdjn0CgJF9gQRm%2FtT%2B8f7w%2FtGXgwYU%2Fo4pohalwKfEEMq1xrsBeQAAAAEAZv%2FsA7QEZgAVACZAFA0DAwgSAxcWBgtGWQYQABBGWQAWAD8rABg%2FKxESARc5ETMxMAUiABEQACEyFwcmIyARFBYzMjcVDgECZvv%2B%2BwERAQKvjEeVYf7hj4qdjD%2BPFAElARIBFwEsQb06%2FoO6u07NJSAAAgBm%2F%2BwEVAYUABIAHwBAQCEQFwkDDAwOHQMOAyEgCREABgwADxUGGkZZBhAAE0ZZABYAPysAGD8rABg%2FPxESOTkREgE5OREzETMRFzMxMAUiAhEQEjMyFzMmNREzESMnIwYnMjY3NTQmIyIGFRQWAh3P6OvQ2nIMEey4KQtxm5GEAoiRfIaCFAEsAQ8BEAEvoXdFAZP57JGlvqO3IdGwybq4wQACAGb%2F7AQ5BGYAFAAbAEdAJxkKGAsLAwMKEQMdHBgLSFkMGBwYAhADGBgABgYVSFkGEAAOR1kAFgA%2FKwAYPysREgA5GC9fXl0rERIBFzkRMxEzETMxMAUgABEQADMyEh0BIR4BMzI2NxUOAQMiBgchLgECi%2F7%2B%2Ft0BDuzb%2Fv0fBaSVYqlhVrCccIcNAfYCgBQBLQEIAQ8BNv726X%2BhrSUrvykiA8iOiImNAAAAAQAjAAADQgYfABUAO0AeDRQUBwICAwADBQMXFgMVCxBGWQsABQEUAUhZBxQPAD8zKxEAMxg%2FKwAYPxESARc5ETMSOTkRMzEwASERIxEjNTc1NDYzMhcHJiMiBh0BIQLT%2FvLstra4vXx4PldPUEkBDgOg%2FGADoG5ISMS9KbIcY2NIAAAAAwAX%2FhQETgRmACsAOABDAHJAPSsCJT4FOSUMHzITLBkABRMZHyUGRUQiCAg8SlkICBYoHDYPDzZGWQ8PFigoQUpZKBArAklZKw8WL0lZFhsAPysAGD8rABg%2FKxESADkYLysREgA5ERI5GC8rEQAzERIBFzkRMxEzETMRMxEzEjk5MTABFQceARUUBiMiJwYVFBY7ATIWFRQEISImNTQ2Ny4BNTQ2Ny4BNTQ2MzIWFwEUFjMyNjU0JisBIgYTFBYzMjU0JiMiBgROvRoi7M81K0xHX8G3vv7K%2Ftvi7oF0Lz1GRVZr49IvZxr%2BGol8wLxnjLJld2VrZMxlZ2ZpBFKBIyNmOavECC8%2FJiack7zMoJRmixsUWTE%2BViolp3C0xg0H%2BwJMUm5bSD1fA0docNpsdXQAAAABAKgAAAR1BhQAFQAzQBkBAA8NCQkKAAoXFg8KExMFRlkTEAsAAQoVAD8zPz8rERIAORESATk5ETMRMzMRMzEwISMRNCYjIgYVESMRMxEUBzM%2BATMgEQR17GdwlIvr6wwPMKtyAZICqIB%2BsdD92wYU%2FnVfbFBY%2FmsAAAAAAgCaAAABogX6AAMADwA2QCIKAAQAAQEREA0fBy8HAl8Hbwd%2FB58HrwffB%2B8HBwcCDwEVAD8%2FL11xzRESATkRMzMRMzEwISMRMwM0NjMyFhUUBiMiJgGT6%2Bv5RUA%2BRUU%2BQEUEUgElP0REPzxFRQAAAAL%2Fh%2F4UAaIF%2BgAMABgAQ0AqEwoKDQMDBwcaGRZADxAfEC8QTxBfEI8QnxDPEN8QCQ4DEAgPAAVGWQAbAD8rABg%2FL19eXRrNERIBOREXMxEzMTATIic1FjMyNREzERQGAzQ2MzIWFRQGIyImN2pGREeW67NGRUA%2BRUU%2BQEX%2BFBm6EqoE0%2Fsdq7AHYz9ERD88RUUAAAABAKgAAASJBhQADgA6QB8CAwYFDgwJCQoDBAUHCgUQDw4IBwQECgILAAIPBgoVAD8zPz8REhc5ERIBFzkRMxEzMxEzETMxMAE3ASEJASEBBxEjETMRBwGLhQFOAQ%2F%2BQwHZ%2Fuz%2BnYHp6QwCSKYBZP4l%2FYkB5Wr%2BhQYU%2FQnVAAAAAAEAqAAAAZMGFAADABZACQABAQUEAgABFQA%2FPxESATkRMzEwISMRMwGT6%2BsGFAAAAAEAqAAABwYEZgAjAEZAIxwbEwAAAQ0JCQoBChsDJSQUDQoRCw8cAQoVIAURBUZZFxEQAD8zKxEAMxg%2FMzM%2FERI5ORESARc5ETMRMxEzEjkRMzEwISMRNCYjIgYVESMRMxczPgEzIBczPgEzMhYVESMRNCYjIgYVBEzsYGaIf%2Bu4IQwur2kA%2F1MQMbJzxrXrYWaJfwKqf32xzv3ZBFKRT1auUlzIzf0vAqp%2FfauxAAAAAQCoAAAEdQRmABMAMUAYDQkJCgEACgAUFQ0KEREFRlkREAsPAQoVAD8zPz8rERIAORESATk5ETMRMxEzMTAhIxE0JiMiBhURIxEzFzM%2BATMgEQR17GdwlYrruCEMMrhwAY4CqIB%2BsM%2F92QRSkU9W%2FmsAAAACAGb%2F7AR9BGYADAAVAChAFA0HEQAHABYXChNGWQoQAw9GWQMWAD8rABg%2FKxESATk5ETMRMzEwARAAIyImAjUQADMyAAEQISARECEiBgR9%2Fur4m%2B6AART78AEY%2FNsBGwEY%2FuaUhQIr%2FvH%2B0IwBBq0BDQEu%2Fsv%2B%2Bv6BAX8Be8QAAAIAqP4UBJMEZgATACAAP0AgGAsDBgYHHhEHESEiAwsADg4URlkOEAgPBxsAG0ZZABYAPysAGD8%2FPysREgA5ORESATk5ETMRMxEzMzMxMAUiJyMWFREjETMWFzM2MzISERACASIGHQEUFjMyNjU0JgLZ0nQODuu%2BCBkMbtzP5%2Bv%2B%2BIyBgJF6hIMUl4we%2FjsGPh91qP7U%2FvH%2B8f7QA7qktCPKtci5ur8AAAIAZv4UBFQEZgALACAAQEAgHhYDGhoZCg8ZDyIhGhsXDx8WDBISB0ZZEhAMAEZZDBYAPysAGD8rERIAOTkYPz8REgE5OREzETMRMzMzMTAlMjY9ATQmIyIGFRAXIgIREBIzMhYXMzczESMRNDY3IwYCXpSBhZR%2BhMPN6OzPaKVBCBrD7AgDDWioq60lzbTIu%2F6FvAEtAQ4BDgExTViR%2BcIB1SxiGqUAAAEAqAAAA04EZgAQACNAEA0JCQoCChIRCw8NChUFABAAPzI%2FOT8REgE5OREzETMxMAEyFwcmIyIGFREjETMXMz4BAtlHLhcyNo2v67gfDDexBGYK2wy4k%2F2%2BBFLDY3QAAAEAYv%2FsA48EZgAhADRAGwoAGxEABhEWBCMiChsDFBQZR1kUEAMISFkDFgA%2FKwAYPysREgA5ORESARc5ETMRMzEwARQGIyInNRYzMjU0LgEnLgE1NDYzMhcHJiMiFRQWFx4CA4%2Fs3N2Gw6jZMG5iv4flxcOuTLN6umGjiXw8ATuirUPLWoMqODwmSpR2jp1PsUpqNEg%2FNVhzAAAAAAEAJ%2F%2FsAvAFSAAVAD1AHw8MExMIAggKEQQXFg0PQAkSDA8PEkhZDw8GAEZZBhYAPysAGD8rEQAzETMaGBDNERIBFzkRMxI5OTEwJTI3FQ4BIyAZASM1PwEzFSEVIREUFgJEVlYne0L%2BspeiUJEBO%2F7FVaobsREXAWACVGhW6vay%2FbBVUQAAAAABAJ7%2F7ARtBFIAFAAwQBcBEREUCwgUCBYVAgUSCQ8AFQUORlkFFgA%2FKwAYPz8zEjkREgE5OREzETMRMzEwIScjDgEjIiY1ETMRFBYzMjY1ETMRA7QhDDG1dMnG7WhvlIvskU1YyMsC0%2F1Wf3%2Bx0AIn%2B64AAAEAAAAABEgEUgALAChAEwkKAgELAAUBCgUDDQwJAQ8FABUAPzI%2FMxESARc5ETMzETMRMzEwIQEzExYXMzY3EzMBAaT%2BXPjhOgwICT3h%2Bv5aBFL9faJkSL4Cg%2FuuAAAAAAEAFAAABnMEUgAdAD5AIR0AFxMSBAgHDhscCgkECQ4XHAUfHgANFwMIFQkbBAMSDwA%2FFzM%2FFzMREgEXOREzETMRMzMRMzMRMzMxMCEDJgMjAgcDIQEzExYXMz4BNxMhEx4BFzM2NxMzAQQzjxpECToik%2F78%2FsrwjTAUBgopD6gBAqMPLQQIDzeP7P7IAgRSASv%2B8nH9%2FgRS%2Fd%2FKkEm9LwJG%2Fboxyjh73QIh%2B64AAAAAAQAZAAAETgRSAAsAM0AaCAcEBQIBCgsAAQUGBwsGDQwJAwsEAQ8ICxUAPzM%2FMxI5ORESARc5ETMRMxEzETMxMAkBIRsBIQkBIQkBIQGe%2Fo0BDPz%2BAQr%2BjAGH%2Fvb%2B7%2F7w%2FvYCNQId%2Fn0Bg%2F3j%2FcsBnv5iAAABAAD%2BFARKBFIAFAAzQBoUCgQICQEAAAQJDwQWFQQUFQgADwwRRlkMGwA%2FKwAYPzM%2FMxESARc5ETMRMxEzMzEwESETFhczPgETMwECISInNRYzMj8BAQDhMxEICTDm%2Fv4ngf7TTko1RKpFKQRS%2FY2GdjedApv7G%2F6nEboMxWgAAAEARAAAA4sEUgAJADhAHQMHCAICBAcJBAsKBwQFBQRIWQUPAggBAQhIWQEVAD8rERIAORg%2FKxESADkREgEXOREzETMxMCkBNQEhNSEVASEDi%2Fy5Ai%2F98wMV%2Fd0CM5EDDbSk%2FQYAAAAAAQAt%2FrwC6QW2ABwARUAnCxgSAg4HFRUcAhgcAx4dEQICDwN%2FA48DrwO%2FA88DBgMDChgZCwoDAD8zLzMSOS9dMxI5ERIBFzkRMxI5ORE5ETMxMAE0ITUyNjURNDYzFQ4BFREUBxUWFREUFhcVLgE1ATf%2B9oeD2dlyZ%2BXlZnPnywEfur9bXQE3nJO2BVNS%2FtfHJwwkyf7VUlQCtwKZqwAAAAEB2f4fAo0GEAADABS3AgMDBQQDAAAAPy8REgE5ETMxMAEzESMB2bS0BhD4DwAAAAEALf68AssFtgAeAEVAJwsbEgQXDgcHAAAEGwMgHwwbGw8afxqPGq8avxrPGgYaGhMEAxITAwA%2FMy8zEjkvXTMSORESARc5ETMSOTkRMxE5MTAFFAYHNT4BNRE0Njc1JjURNCYnNTIWFREUFjMVIgYVAc%2FH219qanvlW27fw399e4EUnJICtwFLXAEGeYQVDCfHASlSUwW2ma7%2B4WRUv1VlAAAAAQBgAjsEMQNoABUAQEAkDwMXFg4GAxERC1JZABEQEQIJAxEGQAYAUlkPBh8GPwZvBgQGAC9dKwAaGBDNX15dKwAQGMQQxhESATk5MTABIgYHNTYzMhYXFjMyNjcVBiMiJicmAUoyez1jl0J2WINZNH06aZFBfVR%2FArQ8Pb9sGiU3Pjq%2Bbx8jNwAAAAACAIX%2BjQGuBF4AAwAPAChAEgQCCgIDAxEQAAANAw0HUVkNEAA%2FKwAYLxI5LxESATkRMzMRMzEwEzMTIQEUBiMiJjU0NjMyFsGuM%2F7rASFLSkhMTEhITQKF%2FAgFOEpOT0lFVFEAAQCm%2F%2BwD9gXLABwASkApDgILAgUWCAUIEBwEHh0FAgIZTVkAAhACAhADAgQZDhNNWQuQDgEODAcAP81dMisAGD%2FFX15dKxEAMxESARc5ETMRMzMRMzEwJQYHFSM1JgI1NBI3NTMVFhcHJiMiBhUUFjMyNjcD23eLnM%2FIyc6emINGkmiSjJCKS4dX7jsFwsgfARj6%2FgEeIKqiBT28O77BwrIeJQABAEgAAARWBckAHQBVQC4aCAsLFw8TAgkQExcYBh8eCxgZGE9ZCA8ZAQsDGRkSAAAFTVkABxMPEg9OWRIYAD8rEQAzGD8rERIAORgvX15dMysRADMREgEXOREzETMSOTkxMAEyFwcmIyIdASEVIRUUBgchFSE1PgE9ASM1MxE0NgKywrVMonrNAY3%2Bc0JQAvT78mJevLzjBclStkfb9Ky2W4Atz8MehHC4rAEAvNQAAAIAdQECBBsEpAAbACcAOkAlIg4cAAACBQkMDhATFxoKKSgJDBATFxoCBQgfFSUPBx8HbwcDBwAvXTPEMhc5ERIBFzkRMxEzMTATNDcnNxc2MzIXNxcHFhUUBxcHJwYjIicHJzcmNxQWMzI2NTQmIyIGukCFeYNkc3NihXmDPz%2BBd4Vjcn5Zg3eDQKiIXmGIiGFdiQLTbWiFd4E%2FQYN1hWRzd2KBd4E9PX93gWN0YoWFYmGIiAAAAAABABIAAAR9BbYAFgBbQDMABxADCwsMAgUJDA4SFQcYFwYSExJQWQADDxMfEwIJAxMTDBUKDg8OUFkHDw8MARUGDBgAPz8zEjkvMysRADMREjkYL19eXTMzKxEAMxESARc5ETMSFzkxMAkBMwEzFSEVIRUhFSM1ITUhNSE1MwEzAkgBQfT%2BceP%2B5wEZ%2Fufh%2FuUBG%2F7l4P529gMdApn9CJeamfT0mZqXAvgAAAAAAgHZ%2Fh8CjQYQAAMABwAkQBADAgUFBAQJCAMEAwQHGwAAAD8%2FOTkvLxESATkRMxI5OTEwATMRIxEzESMB2bS0tLQGEPzm%2FkX85AAAAAIAc%2F%2FyA4kGIwAtADkATUAsNBcmGy4AEQUyGTcDAAMFCxcZGyEIOzoDGTcUMioGHggID0lZCAEeJElZHhYAPysAGD8rERIAFzkREgEXOREzETMRMxEzETMRMzEwEzQ2NyY1NDYzMhYXBy4BIyIVFBYXHgEVFAcWFRQGIyInNR4BMzI1NC4BJy4CNxQeARc2NTQmJw4BgU1Jktu5W6ZjRHR4PcJuiK%2BWi4vs0NSGTcBR6ypkYY2CPbgwbYxtfJ82RQMnUIMrU5iBkiIqojIabTZPM0SdbbFZUI%2BOpUezKDODKzY2JjdddWEtRkQ4QWdLZzUQWwACASUFAgOWBewACwAXAB5ADAwSBgASABkYDwMVCQAvM80yERIBOTkRMxEzMTABNDYzMhYVFAYjIiYlNDYzMhYVFAYjIiYBJUMwNT9ANDBDAYlDMDVAQjMwQwV3Pjc%2BNzVAOjs%2BNz43Nj86AAADAGT%2F7AZEBcsAFgAmADYARkAoAw8vHycXCQ8UFx8FODcAABIQEgISEhsGDwwfDJ8MAwwMIzMbBCsjEwA%2FMz8zEjkvXTMROS9dMxESARc5ETMRMxEzMTABIgYVFBYzMjY3FQYjIiY1NDYzMhcHJgE0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCA31veGx7N34uc3jF2dzEiohBavyGyAFeysgBXsrC%2FqLQz%2F6iw3upASSoqgEkp6n%2B26eo%2Ft%2BsBAqhjpOeHhWeM%2FHe1vdGjzf%2B0cgBXsrI%2FqLKxf6m0M8BWsaq%2Ft2oqwEhqagBJaim%2FtwAAAIAOQMCApMFxwAXACEAOUAdCwEhIRcbBwcRFwMjIiELCxMdAQAABBAEAgQOEwQAPzPUXcQzMxI5LzMREgEXOREzETMRMzMxMAEnDgEjIiY1NDY%2FATQmIyIHJzYzMhYVEQEOARUUMzI2PQECIx0udkdxcaioa0VFWng2kI2Kiv7%2BR21gW1wDDmE3NmlqaG8GBEhIOHNGfX3%2BQQE8AkAxWFJSKwAAAgBSAGgEIQPhAAYADQApQBMDBgoNAgQLCQkEDQYEDg8MBQgBAC8zxDIREgEXOREzETMRMxEzMTATARcJAQcBJQEXCQEHAVIBZKj%2B5gEaqP6cAcIBZaj%2B5QEbqP6bAjEBsF7%2Bov6kYQGvGgGwXv6i%2FqRhAa8AAAAAAQBgAQAEMQMrAAUAI0AQAQADAAcGAQQEA1JZLwQBBAAvXSsAGBDEERIBOTkRMzEwASMRITUhBDGy%2FOED0QEAAXmyAP%2F%2FAEgBwQJKAokSBgAQAAAABABk%2F%2BwGRAXLAAgAFQAlADUAXUAzBAkLDg0MABAQES4eJhYJDA4RFh4GNzYPAAASDQ8RHxECEREaCAASEBICEhIiMhoEKiITAD8zPzMSOS9dMxE5L10zEjkvMxESARc5ETMRMxEzETMRMxEzETMxMAEzMjY1NCYrAQUUBxMjAyMRIxEhMhYBNBIkMzIEEhUUAgQjIiQCNxQSBDMyJBI1NAIkIyIEAgLsRUpMSU9DAZmZ7dPAWr0BBq6i%2B9%2FIAV7KyAFeysL%2BotDP%2FqLDe6kBJKiqASSnqf7bp6j%2B36wDAkZBSDl9qz7%2BcwFa%2FqYDh4j%2BxcgBXsrI%2FqLKxf6m0M8BWsaq%2Ft2oqwEhqagBJaim%2FtwAAAAAAf%2F6BhQEBga4AAMAEbUABQEEAQIALzMRATMRMzEwASE1IQQG%2B%2FQEDAYUpAACAG0DOQL%2BBcsADAAYAB9ADRMGDQAGABoZEAkWAwQAPzPEMhESATk5ETMRMzEwEzQ2MzIWFRQGIyIuATcUFjMyNjU0JiMiBm2%2Bi4q%2BwIhYmViZZkpKZmhISGgEgYfDwIqLvVeYWUZoZ0dMZmgAAAAAAgBgAAAEMQThAAsADwA3QB4GAwoKCwwPAQgLBREQDA1SWQwSCQECAVJZBp8CAQIAL10zKxEAMxg%2FKxESARc5ETMSOTkxMAEhNSERMxEhFSERIwE1IRUB7v5yAY60AY%2F%2BcbT%2BcgPRApiyAZf%2BabL%2Bav7%2BsrIAAAAAAQAzAkoCpgXJABYAJ0ATBhEVAgIMERYEGBcJDh8CFRUBIAA%2FMxI5PzMREgEXOREzETMxMAEhNTc%2BATU0JiMiByc2MzIWFRQGDwEhAqb9jeZ1QUAzXWxei6qIl1yJiwGNAkqH4XBqOzQ2WHl3hHJTl3%2BBAAABAC0COQKiBckAIwA5QB8XABAGAAYLEx4DBiUkAxMTHxQBHxQBFBQJGiEfDgkhAD8zPzMSOS9dcTMSORESARc5ETMRMzEwARQGBx4BFRQGIyInNRYzMjU0KwE1MzI1NCYjIgYHJz4BMzIWAoVRT15fuq2UepF9s8dzabhFODlhOVQ9kmKGnQTjS18nFW5Nf4o%2BnU%2BHfYWBNDgoJXIuO3sAAQFqBNkDUAYhAAkAE7YFAAsKBYAAAC8azRESATk5MTABNT4BNyEVDgEHAWo5eSMBETTPRwTZGUasPRU9wTUAAAEAqP4UBHUEUgAYADtAHQoFBQgRABUVFhYIGhkRCw4GFw8JFRYbDgJGWQ4WAD8rABg%2FPz8zEjk5ERIBOTkRMxEzMxEzETMxMAEUMzI2NREzESMnIw4BIyInIx4BFREjETMBk9qSiuy3Ig0wj2iMTwQDB%2BvrAab8sdACJ%2Fuuk1NUWhyyJP7ABj4AAAAAAQBx%2FvwEdwYUAA8ALUAVAQAEBQAFCwMREAEFCAgOBQ4DS1kOAC8rABgvEjkvETMREgEXOREzETMxMAEjESMRIxEGIyImNRA2MyEEd4m%2FiT5U2Mva6AJE%2FvwGf%2FmBAzMS%2BvsBBP4AAAABAIUCOQGuA2oACwAXQAoGAAANDAMJUVkDAC8rERIBOREzMTATNDYzMhYVFAYjIiaFTEhJTE1ISEwC00lOUUZHU1IAAAEAAP4UAaoAAAARAC1AFw8MCgAABQwDExIMD0ALDkgPDw4HAhsOAC8%2FMxI5LyszERIBFzkRMxEzMTABFCEiJzUWMzI2NTQnNzMHHgEBqv7PQjc2RTY%2Fs1SYKVBa%2FvLeD4kOIS1VGaZYFV8AAAEAVAJKAhQFtgAKACJAEAAECQMBCAEMCwcJASAECR4APzM%2FEjkREgE5OREXMzEwASMRPwEOAQcnJTMCFLoDBREvdlgBGacCSgIAZ1sSLFlw0QAAAAIAPQMCAs8FxwALABcAJUASEgAMBgAGGRgPAAMQAwIDFQkEAD8zxF0yERIBOTkRMxEzMTABFAYjIiY1NDYzMhYFFBYzMjY1NCYjIgYCz6%2BdlrCxmZiw%2FhBOWFhOTlhYTgRkpL6%2Fo6m6vaZvbm5vcW1tAAAAAgBQAGgEIQPhAAYADQAlQBILCQQCAAMHAgoJBg4PCAEBDAUALzPELzIREgEXOREzETMxMAkBJwkBNwEFAScJATcBBCH%2BmagBG%2F7lqAFn%2Fj3%2BmqgBGv7mqAFmAhf%2BUWEBXAFeXv5QGv5RYQFcAV5e%2FlAAAP%2F%2FADwAAAYxBbYQJwDTAqYAABAmAHvoABEHANQDXP23AAmzAwIRGAA%2FNTUA%2F%2F8ALgAABkgFthAnANMCgwAAECYAe9oAEQcAdAOi%2FbcAB7ICEBgAPzUAAAD%2F%2FwA3AAAGaAXJECcA0wL4AAAQJwDUA5P9txEGAHUKAAAJswIBBxgAPzU1AAACADf%2BdwOWBF4AGwAnAEhAJhwiABsHExMbIgMpKAQXFwAbEBsCCwMbGxAlJR9RWSUQEApLWRAiAD8rABg%2FKxESADkYL19eXTkRMxESARc5ETMRMxEzMTABFRQGBw4BFRQWMzI2NxcGIyImNTQ%2BATc%2BAT0BExQGIyImNTQ2MzIWAotSZnw%2BbGtaqFJS3MzP6CpWcl4%2B70tKSExMSEhNAoU%2FapZQYmJLTl43JrNuv6lJcmhaTGFPLQFASk5PSUVUUf%2F%2FAAAAAAVKB3MSJgAkAAARBwBD%2F%2BQBUgAIswIZBSYAKzUAAP%2F%2FAAAAAAVKB3MSJgAkAAARBwB2AKoBUgAIswIZBSYAKzUAAP%2F%2FAAAAAAVKB3MSJgAkAAARBwDFADsBUgAIswIcBSYAKzUAAP%2F%2FAAAAAAVKB0gSJgAkAAARBwDHAC0BUgAIswIYBSYAKzUAAP%2F%2FAAAAAAVKBz4SJgAkAAARBwBqAEYBUgAKtAMCJQUmACs1Nf%2F%2FAAAAAAVKBwkSJgAkAAARBgDGVm0ACbMDAiQDAD81NQAAAAAC%2F%2F4AAAbTBbYADwATAGVANgYTExERCg4OAQgABAUFAAEMEBIFFRQKDUxZCgoBBhADTFkQEAEGBRIJEwYTTFkGAwEOTFkBEgA%2FKwAYPysRADMYPxESOS8rERIAORgvKxESARc5MxEzETMRMxI5OREzETMxMCkBESEDIwEhFSERIRUhESEBIREjBtP81f4IvPYCpgQv%2FcUCFP3sAjv7NwGeewGW%2FmoFtsr%2Bcsj%2BNQGZAoEAAP%2F%2FAHn%2BFATPBcsSJgAmAAAQBwB6Ag4AAP%2F%2FAMEAAAP8B3MSJgAoAAARBwBD%2F7cBUgAIswEVBSYAKzUAAP%2F%2FAMEAAAP8B3MSJgAoAAARBwB2AE4BUgAIswEVBSYAKzUAAP%2F%2FAMEAAAP8B3MSJgAoAAARBwDF%2F%2FkBUgAIswEYBSYAKzUAAP%2F%2FAMEAAAP8Bz4SJgAoAAARBwBqAAQBUgAKtAIBIQUmACs1Nf%2F%2F%2F%2FoAAAHgB3MSJgAsAAARBwBD%2FpABUgAIswENBSYAKzUAAP%2F%2FALMAAAKZB3MSJgAsAAARBwB2%2F0kBUgAIswENBSYAKzUAAP%2F%2F%2F7UAAAK3B3MSJgAsAAARBwDF%2FtIBUgAIswEQBSYAKzUAAP%2F%2FAAEAAAJyBz4SJgAsAAARBwBq%2FtwBUgAKtAIBGQUmACs1NQACAC8AAAVeBbYADAAYAEdAJQ0AEggWFgQABAYUBBoZFQYHBkxZEgcHBAkJEUxZCQMEFkxZBBIAPysAGD8rERIAORgvMysRADMREgEXOREzEjk5ETMxMAEQACkBESM1MxEhIAADEAIrAREhFSERMyAFXv5u%2Fob%2Bb5KSAb4BWwGE%2FPn0xQEz%2Fs2gAhIC6f6Y%2Fn8Cb8gCf%2F6H%2FqQBBAEJ%2FknI%2FloA%2F%2F8AwQAABYMHSBImADEAABEHAMcAsgFSAAizARoFJgArNQAA%2F%2F8Aef%2FsBdMHcxImADIAABEHAEMAdwFSAAizAiEFJgArNQAA%2F%2F8Aef%2FsBdMHcxImADIAABEHAHYBJwFSAAizAiEFJgArNQAA%2F%2F8Aef%2FsBdMHcxImADIAABEHAMUAugFSAAizAiQFJgArNQAA%2F%2F8Aef%2FsBdMHSBImADIAABEHAMcArgFSAAizAiAFJgArNQAA%2F%2F8Aef%2FsBdMHPhImADIAABEHAGoAywFSAAq0AwItBSYAKzU1AAEAgwEOBA4EmAALABxADwEDBQcJCwYNDC8AXwACAAAZL10REgEXOTEwCQE3CQEXCQEHCQEnAcn%2Bun0BSAFJff63AUV7%2Frf%2BvH0C0wFGf%2F66AUZ7%2Frb%2BuH0BRv66fQAAAAMAef%2B0BdMF%2FAATABsAIwBOQC0WFx4fBBQcFAAcCgAFCAoPBSUkFx4WHwQhGQ8SCAUEAw0NIUxZDQQDGUxZAxMAPysAGD8rERIAFzkREhc5ERIBFzkRMxEzERIXOTEwARAAISInByc3JhEQACEyFzcXBxYDNCcBFjMyEgEUFwEmIyICBdP%2Bm%2F651ZRejWK8AWUBS8ebWo5jw%2F5Q%2FbZhi9XZ%2FKJOAktci9fbAt3%2Bm%2F50UYlekMQBeQFqAYRSgVyMx%2F6Q4Yj8rjwBFAER54MDUjv%2B6gD%2F%2FwC0%2F%2BwFOwdzEiYAOAAAEQcAQwA3AVIACLMBGwUmACs1AAD%2F%2FwC0%2F%2BwFOwdzEiYAOAAAEQcAdgDuAVIACLMBGwUmACs1AAD%2F%2FwC0%2F%2BwFOwdzEiYAOAAAEQcAxQCLAVIACLMBHgUmACs1AAD%2F%2FwC0%2F%2BwFOwc%2BEiYAOAAAEQcAagCYAVIACrQCAScFJgArNTX%2F%2FwAAAAAEvAdzEiYAPAAAEQcAdgBYAVIACLMBEgUmACs1AAAAAgDBAAAEkQW2AAwAFQBGQCURAA0JBQUGBgAXFgkVTFkACRAJAgwDCQkGBw0ETFkNDQYHAwYSAD8%2FEjkvKxESADkYL19eXSsREgE5OREzETMzETMxMAEUBCEjESMRMxUzIAQBMzI2NTQmKwEEkf7c%2Fuuo7%2B%2FFAQwBEP0fhbusnKykAwjj9P7PBbbz4P4Vfox%2FewAAAAEAqP%2FsBQIGHwAzAEFAIiUABh8ZDiwtAA4UHy0FNTQZJRExLRUxKEZZMQARF0hZERYAPysAGD8rABg%2FERI5ORESARc5ETMRMxEzETMxMAEUBgcOARUUFh8BHgIVFAYjIic1HgEzMjU0JicuATU0Njc%2BATU0JiMiBhURIxE0JDMyBAR9TUJaNi05X1xXLNbMvm06okPARXl3aERHS0CGb3%2BG6wEB7%2BEBBATlSoUzRTocHjMmQD5fcEelrEHHJTGXPVhKSXxUP2k1N1UzSFFsaftzBJHBzagA%2F%2F8AWv%2FsBAQGIRImAEQAABEGAEOZAAAIswIwESYAKzX%2F%2FwBa%2F%2BwEBAYhEiYARAAAEQYAdkwAAAizAjARJgArNf%2F%2FAFr%2F7AQEBiESJgBEAAARBgDF6AAACLMCMxEmACs1%2F%2F8AWv%2FsBAQF9hImAEQAABEGAMfkAAAIswIvESYAKzX%2F%2FwBa%2F%2BwEBAXsEiYARAAAEQYAavUAAAq0AwI8ESYAKzU1AAD%2F%2FwBa%2F%2BwEBAacEiYARAAAEQYAxg4AAAq0AwIqESYAKzU1AAAAAwBa%2F%2BwGuARmACYAMAA3AHNAPyEPFgQtNBYWLTUVJwAAChUaLQU5OA8hJA0ELUpZBAQkDTQWSVk0NCQNETFIWQ0HSFkRDRAeGEdZJClIWR4kFgA%2FMysrABg%2FMysrERIAORgvKxESADkYLysREgA5ORESARc5ETMRMxEzETMRMxI5OTEwEzQ2PwE1NCMiByc%2BATMyFzYzMhIdASESITI3FQ4BIyImJw4BIyImNxQzMjY9AQcOAQEiBgchNCZa8%2Fm8yY2mSljRY%2FFjeOLO9P04CgEjuKxWq26M2UNewZGlu%2FSmfJCHm5ADpHCDCQHZdQE9rK0IBkzCUqYvMZub%2FvPkf%2F6wUL8pIm1ufV60m5uRf2AGBmECEYuLgpQAAP%2F%2FAGb%2BFAO0BGYSJgBGAAAQBwB6AWQAAP%2F%2FAGb%2F7AQ5BiESJgBIAAARBgBDrwAACLMCJREmACs1%2F%2F8AZv%2FsBDkGIRImAEgAABEGAHZgAAAIswIlESYAKzX%2F%2FwBm%2F%2BwEOQYhEiYASAAAEQYAxQAAAAizAigRJgArNf%2F%2FAGb%2F7AQ5BewSJgBIAAARBgBqDgAACrQDAjERJgArNTUAAP%2F%2F%2F7sAAAGhBiESJgDCAAARBwBD%2FlEAAAAIswENESYAKzUAAP%2F%2FAJwAAAKCBiESJgDCAAARBwB2%2FzIAAAAIswENESYAKzUAAP%2F%2F%2F5wAAAKeBiESJgDCAAARBwDF%2FrkAAAAIswEQESYAKzUAAP%2F%2F%2F%2BcAAAJYBewSJgDCAAARBwBq%2FsIAAAAKtAIBGREmACs1NQACAGb%2F7AR9BiEAGwAnAFBAKwwcHAAiBgAGEBMYBSkoFhkRDhAFFw8PFAwDCQkfR1kJCQMXFAEDJUdZAxYAPysAGD%2FGEjkvKxESADkSORgvEhc5ERIBFzkRMxEzETMxMAEQACMiADU0ADMyFzcmJwcnNyYnNxYXNxcHFhIDNCYjIgYVFBYzMjYEff7t%2B%2Bv%2B4gEG3NZXCD6l%2BljMVlFUjHbnWLyYn%2FCXg5eGlImUhgI3%2Fun%2BzAEQ5ecBDW8EvZyWhXc7K5I%2FUYqBcYz%2BhP7pf5aknpmitgAAAP%2F%2FAKgAAAR1BfYSJgBRAAARBgDHIQAACLMBHBEmACs1%2F%2F8AZv%2FsBH0GIRImAFIAABEGAEO7AAAIswIfESYAKzX%2F%2FwBm%2F%2BwEfQYhEiYAUgAAEQYAdm8AAAizAh8RJgArNf%2F%2FAGb%2F7AR9BiESJgBSAAARBgDFDAAACLMCIhEmACs1%2F%2F8AZv%2FsBH0F9hImAFIAABEGAMf%2FAAAIswIeESYAKzX%2F%2FwBm%2F%2BwEfQXsEiYAUgAAEQYAahIAAAq0AwIrESYAKzU1AAAAAwBgAOwEMQS2AAMADwAbADRAGhYQCgQAAwQQBB0cBw0ZEw0TAQEAUlkvAQEBAC9dKxEAMzMYLzMvMxESARc5ETMRMzEwEzUhFQE0NjMyFhUUBiMiJhE0NjMyFhUUBiMiJmAD0f2YP0A9QEQ5PEM%2FQD1ARDk8QwJ5srL%2B%2FEBHSD8%2FSkcC%2FEBHSD8%2FSkcAAAAAAwBm%2F7gEfQSLABMAGwAiAE9ALhYXHh8EHBQcABQKAAUICg8SBiQjFx4WHwQhGQ8SCAUEAw0NGUZZDRADIUZZAxYAPysAGD8rERIAFzkREhc5ERIBFzkRMxEzERIXOTEwARAAIyInByc3JhEQADMyFzcXBxYBFBcBJiMiBgU0JwEWMyAEff7q%2BJBqTIdSjgEU%2B5ByRYhOh%2FzbJQGHPFeUhQIzIf59NlYBGAIr%2FvH%2B0DltWnWbAQkBDQEuP2RcbJj%2FAIdUAi8nxLd5Uv3XIQAA%2F%2F8Anv%2FsBG0GIRImAFgAABEGAEO3AAAIswEeESYAKzX%2F%2FwCe%2F%2BwEbQYhEiYAWAAAEQcAdgCLAAAACLMBHhEmACs1AAD%2F%2FwCe%2F%2BwEbQYhEiYAWAAAEQYAxSEAAAizASERJgArNf%2F%2FAJ7%2F7ARtBewSJgBYAAARBgBqJwAACrQCASoRJgArNTUAAP%2F%2FAAD%2BFARKBiESJgBcAAARBgB2JwAACLMBHhEmACs1AAIAqP4UBJMGFAAVACEAQUAiHwYMEhUaBA8PEBAGIyIMFQkDEQAQGwMWRlkDEAkdRlkJFgA%2FKwAYPysAGD8%2FERI5ORESATk5ETMRFzMRMzEwAT4BMzISERACIyInIx8BESMRMxEPAQUiBh0BFBYzMhE0JgGTPaNqzujpzdtvDggG6%2BsHAwEZjoGAkf57A8FWT%2F7S%2FvP%2B8P7RlUhc%2FjcIAP5SihsbpLIlyrUBgb67AAD%2F%2FwAA%2FhQESgXsEiYAXAAAEQYAasoAAAq0AgEqESYAKzU1AAAAAQCoAAABkwRSAAMAFkAJAAEBBQQCDwEVAD8%2FERIBOREzMTAhIxEzAZPr6wRSAAAAAgB5%2F%2BwHGwXNABQAHwBWQC8NAA8TEx0YBgAGER0EISAPEkxZDw8BCwsOTFkLAwkVTFkJBAETTFkBEwMbTFkDEgA%2FKwAYPysAGD8rABg%2FKxESADkYLysREgEXOREzETMRMxEzMTApAQYjIAAREAAhMhchFSERIRUhESEBIgIREBIzMjcRJgcb%2FMxmbf7A%2FqUBWAE%2Fc14DOv3AAhv95QJA%2B%2F7Q1tTQgVRQFAGJAWoBaAGGF8r%2Bcsj%2BNQQ1%2Fur%2B8%2F7z%2FugjBAAlAAADAGb%2F7AdMBGYAHQApADAAb0A9DQIkLRQUJC4THgcHExokBDIxDQIECi0USFkMLRwtAhADLS0ECg8qSFkPCgonRlkKEAAXR1kABAQhRlkEFgA%2FKxEAMysAGD8rEQAzKxESADkYL19eXSsREgA5ORESARc5ETMRMxEzETMSOTkxMAUgJwYhIgAREAAzMhYXNjMyAB0BIR4BMzI2NxUOAQEUFjMyNjU0JiMiBiUiBgchNCYFnv7ni4T%2B9Oz%2B6AES9XnMQoP43QEA%2FR4LlZpmqmBUr%2FtHg5KNg4SRj4EEGW6HCwHxfhTCwgE2AQkBEAErYmDC%2FvXof6SqJSu%2FKCMCP73Cv7zAv77Mi4uGkAAAAQDjBNkD5QYhAAwAKEASCQgCAAwEBQIFDAMODQIJgAUAAC8yGs0yERIBFzkRMxEzETMzMTABJicGByM1NjchFhcVA0Z7aWd6nr8%2FAQQ%2FwQTZSWtnTRnGaW7BGQACAWAE1wM7BpwACwAWACpAFgwAEgYGABgXD3AJAQ8JHwkvCQMJFAMALzPEXV0yERIBOTkRMxEzMTABFAYjIiY1NDYzMhYHNCYjIgYVFDMyNgM7g2xsgH9taIeFPC4vPGsuPAW8Zn99ZmV9fGYyOTkyajcAAAEA7ATXA%2F4F9gAVADJAGBITBwgTCBcWEAAFCwALAAt%2FE48TAhOACAAvGsxdOTkvLxEzETMREgE5OREzETMxMAEiLgIjIgcjPgEzMh4CMzI3Mw4BAwgqUU5KIlEcegyDZitSTkkiTxt9DIIE2SMrI3OLkiMrI3OGlwAAAAABAFIBxwOuAoUAAwARtQMABQQAAQAvMxESATk5MTATNSEVUgNcAce%2BvgAAAAEAUgHHB64ChQADABG1AwAFBAABAC8zERIBOTkxMBM1IRVSB1wBx76%2BAAAAAQAZA8EBcwW2AAcAF0AJAQcHBQkIAAQDAD%2FNERIBOTkRMzEwEyc2EjczAgclDBRmNqpAJQPBFlMBGnL%2FAPUAAAEAGQPBAXMFtgAGABdACQEGBgQIBwQGAwA%2FxhESATk5ETMxMAEXBgMjEjcBZA81e6pFHwW2FtH%2B8gEh1AAAAAABAD%2F%2B%2BAGcAO4ABgAeQA8ABQUDCAcDQAZQBtAGAwYAL13NERIBOTkRMzEwJQYDIxI3MwGcMICtRSLn17r%2B2wEO6AAAAAIAGQPBAxQFtgAGAA4AIkAQBw0ABQMFCw0EEA8GDgIKAwA%2FM80yERIBFzkRMxEzMTABNhMzAgcjJTYSNzMCByMBuDV9qkUf6f5SFGY2qkAl6QPXywEU%2FtjNFlMBGnL%2FAPUAAAACABkDwQMUBbYABgANACJAEAcMAAUDBQoMBA8OCgMMBQMAPzPGMhESARc5ETMRMzEwAQYDIxI3MwUGAyMSNzMBczV7qkUf5wGwNXusRSLnBaDR%2FvIBIdQW0f7yAQ%2FmAAACACv%2B%2BAMpAO4ABgANAClAFgcMAAUDBQoMBA8OCgMMQAZQBtAGAwYAL10zzTIREgEXOREzETMxMCUGAyMSNzMFBgMjEjczAYc3eaxCJOgBsDCArEIk6NfW%2FvcBBPIXuv7bAQTyAAAAAAEAgwHRAn8EBgALABO2BgAADQwJAwAvzRESATkRMzEwEzQ2MzIWFRQGIyImg4R6eYWGeHiGAuyKkJGJh5SRAAABAFIAaAJeA%2BEABgAYQAoDBgIEBgMIBwUBAC%2FEERIBFzkRMzEwEwEXCQEHAVIBZKj%2B5gEaqP6cAjEBsF7%2Bov6kYQGvAAEAUABoAl4D4QAGABhACgMAAAIEAwgHAQUAL8QREgEXOREzMTAJAScJATcBAl7%2BmqgBGv7mqAFmAhf%2BUWEBXAFeXv5QAAAAAAH%2BdwAAAo8FtgADABpACwMABQECAgQDAwISAD8%2FEQEzETMRMzIxMAkBIwECj%2FyowANaBbb6SgW2AAAAAAIAEAJKAtUFvAAKABEAPkAgCQEBCwcEEQYABAYDExIBBQUGCQ8RHxECEREHAyAOBx4APzM%2FEjkvXTMzMxEzERIBFzkRMxEzMzMRMzEwASMVIzUhNQEzETMhNTQ3Bg8BAtV9wP54AYy8ff7DBjQklAL6sLB%2FAkP9zbJhZGg22QAAAQA%2F%2F%2BwEhQXFACYAcUBCDAMICBYfAxsFChEYGx0kBygnBh0eHVBZAw8eHx4vHr8eBAkDHhcJGBcYUFkMAxcBFAMXFxMiIgBNWSIHEw5NWRMZAD8rABg%2FKxESADkYL19eXTMrEQAzGBDGX15dMisRADMREgEXOREXMxEzMzEwASIGByEVIQcVFyEVIRIhMjcVBiMiACcjNTMnNTcjNTM2ADMyFwcmAx%2BNsx4ByP4pAgIBmP55QAEsj5aDrvH%2B0y6YiAICiJYmATLyyJ5UmgT%2BqKqaLTcnmf7IPss9AQj6mSUlQZr7AR5Yu0wAAAAAAAEAACMAAAEF0xgAAAoK8gAFACT%2FcQAFADcAKQAFADkAKQAFADoAKQAFADwAFAAFAET%2FrgAFAEb%2FhQAFAEf%2FhQAFAEj%2FhQAFAEr%2FwwAFAFD%2FwwAFAFH%2FwwAFAFL%2FhQAFAFP%2FwwAFAFT%2FhQAFAFX%2FwwAFAFb%2FwwAFAFj%2FwwAFAIL%2FcQAFAIP%2FcQAFAIT%2FcQAFAIX%2FcQAFAIb%2FcQAFAIf%2FcQAFAJ8AFAAFAKL%2FhQAFAKP%2FrgAFAKT%2FrgAFAKX%2FrgAFAKb%2FrgAFAKf%2FrgAFAKj%2FrgAFAKn%2FhQAFAKr%2FhQAFAKv%2FhQAFAKz%2FhQAFAK3%2FhQAFALT%2FhQAFALX%2FhQAFALb%2FhQAFALf%2FhQAFALj%2FhQAFALr%2FhQAFALv%2FwwAFALz%2FwwAFAL3%2FwwAFAL7%2FwwAFAMT%2FhQAKACT%2FcQAKADcAKQAKADkAKQAKADoAKQAKADwAFAAKAET%2FrgAKAEb%2FhQAKAEf%2FhQAKAEj%2FhQAKAEr%2FwwAKAFD%2FwwAKAFH%2FwwAKAFL%2FhQAKAFP%2FwwAKAFT%2FhQAKAFX%2FwwAKAFb%2FwwAKAFj%2FwwAKAIL%2FcQAKAIP%2FcQAKAIT%2FcQAKAIX%2FcQAKAIb%2FcQAKAIf%2FcQAKAJ8AFAAKAKL%2FhQAKAKP%2FrgAKAKT%2FrgAKAKX%2FrgAKAKb%2FrgAKAKf%2FrgAKAKj%2FrgAKAKn%2FhQAKAKr%2FhQAKAKv%2FhQAKAKz%2FhQAKAK3%2FhQAKALT%2FhQAKALX%2FhQAKALb%2FhQAKALf%2FhQAKALj%2FhQAKALr%2FhQAKALv%2FwwAKALz%2FwwAKAL3%2FwwAKAL7%2FwwAKAMT%2FhQALAC0AuAAPACb%2FmgAPACr%2FmgAPADL%2FmgAPADT%2FmgAPADf%2FcQAPADj%2F1wAPADn%2FhQAPADr%2FhQAPADz%2FhQAPAIn%2FmgAPAJT%2FmgAPAJX%2FmgAPAJb%2FmgAPAJf%2FmgAPAJj%2FmgAPAJr%2FmgAPAJv%2F1wAPAJz%2F1wAPAJ3%2F1wAPAJ7%2F1wAPAJ%2F%2FhQAPAMP%2FmgAQADf%2FrgARACb%2FmgARACr%2FmgARADL%2FmgARADT%2FmgARADf%2FcQARADj%2F1wARADn%2FhQARADr%2FhQARADz%2FhQARAIn%2FmgARAJT%2FmgARAJX%2FmgARAJb%2FmgARAJf%2FmgARAJj%2FmgARAJr%2FmgARAJv%2F1wARAJz%2F1wARAJ3%2F1wARAJ7%2F1wARAJ%2F%2FhQARAMP%2FmgAkAAX%2FcQAkAAr%2FcQAkACb%2F1wAkACr%2F1wAkAC0BCgAkADL%2F1wAkADT%2F1wAkADf%2FcQAkADn%2FrgAkADr%2FrgAkADz%2FhQAkAIn%2F1wAkAJT%2F1wAkAJX%2F1wAkAJb%2F1wAkAJf%2F1wAkAJj%2F1wAkAJr%2F1wAkAJ%2F%2FhQAkAMP%2F1wAkAMv%2FcQAkAM7%2FcQAlAA%2F%2FrgAlABH%2FrgAlACT%2F1wAlADf%2FwwAlADn%2F7AAlADr%2F7AAlADv%2F1wAlADz%2F7AAlAD3%2F7AAlAIL%2F1wAlAIP%2F1wAlAIT%2F1wAlAIX%2F1wAlAIb%2F1wAlAIf%2F1wAlAJ%2F%2F7AAlAMz%2FrgAlAM%2F%2FrgAmACb%2F1wAmACr%2F1wAmADL%2F1wAmADT%2F1wAmAIn%2F1wAmAJT%2F1wAmAJX%2F1wAmAJb%2F1wAmAJf%2F1wAmAJj%2F1wAmAJr%2F1wAmAMP%2F1wAnAA%2F%2FrgAnABH%2FrgAnACT%2F1wAnADf%2FwwAnADn%2F7AAnADr%2F7AAnADv%2F1wAnADz%2F7AAnAD3%2F7AAnAIL%2F1wAnAIP%2F1wAnAIT%2F1wAnAIX%2F1wAnAIb%2F1wAnAIf%2F1wAnAJ%2F%2F7AAnAMz%2FrgAnAM%2F%2FrgAoAC0AewApAA%2F%2FhQApABH%2FhQApACIAKQApACT%2F1wApAIL%2F1wApAIP%2F1wApAIT%2F1wApAIX%2F1wApAIb%2F1wApAIf%2F1wApAMz%2FhQApAM%2F%2FhQAuACb%2F1wAuACr%2F1wAuADL%2F1wAuADT%2F1wAuAIn%2F1wAuAJT%2F1wAuAJX%2F1wAuAJb%2F1wAuAJf%2F1wAuAJj%2F1wAuAJr%2F1wAuAMP%2F1wAvAAX%2FXAAvAAr%2FXAAvACb%2F1wAvACr%2F1wAvADL%2F1wAvADT%2F1wAvADf%2F1wAvADj%2F7AAvADn%2F1wAvADr%2F1wAvADz%2FwwAvAIn%2F1wAvAJT%2F1wAvAJX%2F1wAvAJb%2F1wAvAJf%2F1wAvAJj%2F1wAvAJr%2F1wAvAJv%2F7AAvAJz%2F7AAvAJ3%2F7AAvAJ7%2F7AAvAJ%2F%2FwwAvAMP%2F1wAvAMv%2FXAAvAM7%2FXAAyAA%2F%2FrgAyABH%2FrgAyACT%2F1wAyADf%2FwwAyADn%2F7AAyADr%2F7AAyADv%2F1wAyADz%2F7AAyAD3%2F7AAyAIL%2F1wAyAIP%2F1wAyAIT%2F1wAyAIX%2F1wAyAIb%2F1wAyAIf%2F1wAyAJ%2F%2F7AAyAMz%2FrgAyAM%2F%2FrgAzAA%2F%2B9gAzABH%2B9gAzACT%2FmgAzADv%2F1wAzAD3%2F7AAzAIL%2FmgAzAIP%2FmgAzAIT%2FmgAzAIX%2FmgAzAIb%2FmgAzAIf%2FmgAzAMz%2B9gAzAM%2F%2B9gA0AA%2F%2FrgA0ABH%2FrgA0ACT%2F1wA0ADf%2FwwA0ADn%2F7AA0ADr%2F7AA0ADv%2F1wA0ADz%2F7AA0AD3%2F7AA0AIL%2F1wA0AIP%2F1wA0AIT%2F1wA0AIX%2F1wA0AIb%2F1wA0AIf%2F1wA0AJ%2F%2F7AA0AMz%2FrgA0AM%2F%2FrgA3AA%2F%2FhQA3ABD%2FrgA3ABH%2FhQA3ACIAKQA3ACT%2FcQA3ACb%2F1wA3ACr%2F1wA3ADL%2F1wA3ADT%2F1wA3ADcAKQA3AET%2FXAA3AEb%2FcQA3AEf%2FcQA3AEj%2FcQA3AEr%2FcQA3AFD%2FmgA3AFH%2FmgA3AFL%2FcQA3AFP%2FmgA3AFT%2FcQA3AFX%2FmgA3AFb%2FhQA3AFj%2FmgA3AFn%2F1wA3AFr%2F1wA3AFv%2F1wA3AFz%2F1wA3AF3%2FrgA3AIL%2FcQA3AIP%2FcQA3AIT%2FcQA3AIX%2FcQA3AIb%2FcQA3AIf%2FcQA3AIn%2F1wA3AJT%2F1wA3AJX%2F1wA3AJb%2F1wA3AJf%2F1wA3AJj%2F1wA3AJr%2F1wA3AKL%2FcQA3AKP%2FXAA3AKT%2FXAA3AKX%2FXAA3AKb%2FXAA3AKf%2FXAA3AKj%2FXAA3AKn%2FcQA3AKr%2FcQA3AKv%2FcQA3AKz%2FcQA3AK3%2FcQA3ALT%2FcQA3ALX%2FcQA3ALb%2FcQA3ALf%2FcQA3ALj%2FcQA3ALr%2FcQA3ALv%2FmgA3ALz%2FmgA3AL3%2FmgA3AL7%2FmgA3AL%2F%2F1wA3AMP%2F1wA3AMT%2FcQA3AMj%2FrgA3AMn%2FrgA3AMz%2FhQA3AM%2F%2FhQA4AA%2F%2F1wA4ABH%2F1wA4ACT%2F7AA4AIL%2F7AA4AIP%2F7AA4AIT%2F7AA4AIX%2F7AA4AIb%2F7AA4AIf%2F7AA4AMz%2F1wA4AM%2F%2F1wA5AA%2F%2FmgA5ABH%2FmgA5ACIAKQA5ACT%2FrgA5ACb%2F7AA5ACr%2F7AA5ADL%2F7AA5ADT%2F7AA5AET%2F1wA5AEb%2F1wA5AEf%2F1wA5AEj%2F1wA5AEr%2F7AA5AFD%2F7AA5AFH%2F7AA5AFL%2F1wA5AFP%2F7AA5AFT%2F1wA5AFX%2F7AA5AFb%2F7AA5AFj%2F7AA5AIL%2FrgA5AIP%2FrgA5AIT%2FrgA5AIX%2FrgA5AIb%2FrgA5AIf%2FrgA5AIn%2F7AA5AJT%2F7AA5AJX%2F7AA5AJb%2F7AA5AJf%2F7AA5AJj%2F7AA5AJr%2F7AA5AKL%2F1wA5AKP%2F1wA5AKT%2F1wA5AKX%2F1wA5AKb%2F1wA5AKf%2F1wA5AKj%2F1wA5AKn%2F1wA5AKr%2F1wA5AKv%2F1wA5AKz%2F1wA5AK3%2F1wA5ALT%2F1wA5ALX%2F1wA5ALb%2F1wA5ALf%2F1wA5ALj%2F1wA5ALr%2F1wA5ALv%2F7AA5ALz%2F7AA5AL3%2F7AA5AL7%2F7AA5AMP%2F7AA5AMT%2F1wA5AMz%2FmgA5AM%2F%2FmgA6AA%2F%2FmgA6ABH%2FmgA6ACIAKQA6ACT%2FrgA6ACb%2F7AA6ACr%2F7AA6ADL%2F7AA6ADT%2F7AA6AET%2F1wA6AEb%2F1wA6AEf%2F1wA6AEj%2F1wA6AEr%2F7AA6AFD%2F7AA6AFH%2F7AA6AFL%2F1wA6AFP%2F7AA6AFT%2F1wA6AFX%2F7AA6AFb%2F7AA6AFj%2F7AA6AIL%2FrgA6AIP%2FrgA6AIT%2FrgA6AIX%2FrgA6AIb%2FrgA6AIf%2FrgA6AIn%2F7AA6AJT%2F7AA6AJX%2F7AA6AJb%2F7AA6AJf%2F7AA6AJj%2F7AA6AJr%2F7AA6AKL%2F1wA6AKP%2F1wA6AKT%2F1wA6AKX%2F1wA6AKb%2F1wA6AKf%2F1wA6AKj%2F1wA6AKn%2F1wA6AKr%2F1wA6AKv%2F1wA6AKz%2F1wA6AK3%2F1wA6ALT%2F1wA6ALX%2F1wA6ALb%2F1wA6ALf%2F1wA6ALj%2F1wA6ALr%2F1wA6ALv%2F7AA6ALz%2F7AA6AL3%2F7AA6AL7%2F7AA6AMP%2F7AA6AMT%2F1wA6AMz%2FmgA6AM%2F%2FmgA7ACb%2F1wA7ACr%2F1wA7ADL%2F1wA7ADT%2F1wA7AIn%2F1wA7AJT%2F1wA7AJX%2F1wA7AJb%2F1wA7AJf%2F1wA7AJj%2F1wA7AJr%2F1wA7AMP%2F1wA8AA%2F%2FhQA8ABH%2FhQA8ACIAKQA8ACT%2FhQA8ACb%2F1wA8ACr%2F1wA8ADL%2F1wA8ADT%2F1wA8AET%2FmgA8AEb%2FmgA8AEf%2FmgA8AEj%2FmgA8AEr%2F1wA8AFD%2FwwA8AFH%2FwwA8AFL%2FmgA8AFP%2FwwA8AFT%2FmgA8AFX%2FwwA8AFb%2FrgA8AFj%2FwwA8AF3%2F1wA8AIL%2FhQA8AIP%2FhQA8AIT%2FhQA8AIX%2FhQA8AIb%2FhQA8AIf%2FhQA8AIn%2F1wA8AJT%2F1wA8AJX%2F1wA8AJb%2F1wA8AJf%2F1wA8AJj%2F1wA8AJr%2F1wA8AKL%2FmgA8AKP%2FmgA8AKT%2FmgA8AKX%2FmgA8AKb%2FmgA8AKf%2FmgA8AKj%2FmgA8AKn%2FmgA8AKr%2FmgA8AKv%2FmgA8AKz%2FmgA8AK3%2FmgA8ALT%2FmgA8ALX%2FmgA8ALb%2FmgA8ALf%2FmgA8ALj%2FmgA8ALr%2FmgA8ALv%2FwwA8ALz%2FwwA8AL3%2FwwA8AL7%2FwwA8AMP%2F1wA8AMT%2FmgA8AMz%2FhQA8AM%2F%2FhQA9ACb%2F7AA9ACr%2F7AA9ADL%2F7AA9ADT%2F7AA9AIn%2F7AA9AJT%2F7AA9AJX%2F7AA9AJb%2F7AA9AJf%2F7AA9AJj%2F7AA9AJr%2F7AA9AMP%2F7AA%2BAC0AuABEAAX%2F7ABEAAr%2F7ABEAMv%2F7ABEAM7%2F7ABFAAX%2F7ABFAAr%2F7ABFAFn%2F1wBFAFr%2F1wBFAFv%2F1wBFAFz%2F1wBFAF3%2F7ABFAL%2F%2F1wBFAMv%2F7ABFAM7%2F7ABGAAUAKQBGAAoAKQBGAMsAKQBGAM4AKQBIAAX%2F7ABIAAr%2F7ABIAFn%2F1wBIAFr%2F1wBIAFv%2F1wBIAFz%2F1wBIAF3%2F7ABIAL%2F%2F1wBIAMv%2F7ABIAM7%2F7ABJAAUAewBJAAoAewBJAMsAewBJAM4AewBLAAX%2F7ABLAAr%2F7ABLAMv%2F7ABLAM7%2F7ABOAEb%2F1wBOAEf%2F1wBOAEj%2F1wBOAFL%2F1wBOAFT%2F1wBOAKL%2F1wBOAKn%2F1wBOAKr%2F1wBOAKv%2F1wBOAKz%2F1wBOAK3%2F1wBOALT%2F1wBOALX%2F1wBOALb%2F1wBOALf%2F1wBOALj%2F1wBOALr%2F1wBOAMT%2F1wBQAAX%2F7ABQAAr%2F7ABQAMv%2F7ABQAM7%2F7ABRAAX%2F7ABRAAr%2F7ABRAMv%2F7ABRAM7%2F7ABSAAX%2F7ABSAAr%2F7ABSAFn%2F1wBSAFr%2F1wBSAFv%2F1wBSAFz%2F1wBSAF3%2F7ABSAL%2F%2F1wBSAMv%2F7ABSAM7%2F7ABTAAX%2F7ABTAAr%2F7ABTAFn%2F1wBTAFr%2F1wBTAFv%2F1wBTAFz%2F1wBTAF3%2F7ABTAL%2F%2F1wBTAMv%2F7ABTAM7%2F7ABVAAUAUgBVAAoAUgBVAET%2F1wBVAEb%2F1wBVAEf%2F1wBVAEj%2F1wBVAEr%2F7ABVAFL%2F1wBVAFT%2F1wBVAKL%2F1wBVAKP%2F1wBVAKT%2F1wBVAKX%2F1wBVAKb%2F1wBVAKf%2F1wBVAKj%2F1wBVAKn%2F1wBVAKr%2F1wBVAKv%2F1wBVAKz%2F1wBVAK3%2F1wBVALT%2F1wBVALX%2F1wBVALb%2F1wBVALf%2F1wBVALj%2F1wBVALr%2F1wBVAMT%2F1wBVAMsAUgBVAM4AUgBXAAUAKQBXAAoAKQBXAMsAKQBXAM4AKQBZAAUAUgBZAAoAUgBZAA%2F%2FrgBZABH%2FrgBZACIAKQBZAMsAUgBZAMz%2FrgBZAM4AUgBZAM%2F%2FrgBaAAUAUgBaAAoAUgBaAA%2F%2FrgBaABH%2FrgBaACIAKQBaAMsAUgBaAMz%2FrgBaAM4AUgBaAM%2F%2FrgBbAEb%2F1wBbAEf%2F1wBbAEj%2F1wBbAFL%2F1wBbAFT%2F1wBbAKL%2F1wBbAKn%2F1wBbAKr%2F1wBbAKv%2F1wBbAKz%2F1wBbAK3%2F1wBbALT%2F1wBbALX%2F1wBbALb%2F1wBbALf%2F1wBbALj%2F1wBbALr%2F1wBbAMT%2F1wBcAAUAUgBcAAoAUgBcAA%2F%2FrgBcABH%2FrgBcACIAKQBcAMsAUgBcAMz%2FrgBcAM4AUgBcAM%2F%2FrgBeAC0AuACCAAX%2FcQCCAAr%2FcQCCACb%2F1wCCACr%2F1wCCAC0BCgCCADL%2F1wCCADT%2F1wCCADf%2FcQCCADn%2FrgCCADr%2FrgCCADz%2FhQCCAIn%2F1wCCAJT%2F1wCCAJX%2F1wCCAJb%2F1wCCAJf%2F1wCCAJj%2F1wCCAJr%2F1wCCAJ%2F%2FhQCCAMP%2F1wCCAMv%2FcQCCAM7%2FcQCDAAX%2FcQCDAAr%2FcQCDACb%2F1wCDACr%2F1wCDAC0BCgCDADL%2F1wCDADT%2F1wCDADf%2FcQCDADn%2FrgCDADr%2FrgCDADz%2FhQCDAIn%2F1wCDAJT%2F1wCDAJX%2F1wCDAJb%2F1wCDAJf%2F1wCDAJj%2F1wCDAJr%2F1wCDAJ%2F%2FhQCDAMP%2F1wCDAMv%2FcQCDAM7%2FcQCEAAX%2FcQCEAAr%2FcQCEACb%2F1wCEACr%2F1wCEAC0BCgCEADL%2F1wCEADT%2F1wCEADf%2FcQCEADn%2FrgCEADr%2FrgCEADz%2FhQCEAIn%2F1wCEAJT%2F1wCEAJX%2F1wCEAJb%2F1wCEAJf%2F1wCEAJj%2F1wCEAJr%2F1wCEAJ%2F%2FhQCEAMP%2F1wCEAMv%2FcQCEAM7%2FcQCFAAX%2FcQCFAAr%2FcQCFACb%2F1wCFACr%2F1wCFAC0BCgCFADL%2F1wCFADT%2F1wCFADf%2FcQCFADn%2FrgCFADr%2FrgCFADz%2FhQCFAIn%2F1wCFAJT%2F1wCFAJX%2F1wCFAJb%2F1wCFAJf%2F1wCFAJj%2F1wCFAJr%2F1wCFAJ%2F%2FhQCFAMP%2F1wCFAMv%2FcQCFAM7%2FcQCGAAX%2FcQCGAAr%2FcQCGACb%2F1wCGACr%2F1wCGAC0BCgCGADL%2F1wCGADT%2F1wCGADf%2FcQCGADn%2FrgCGADr%2FrgCGADz%2FhQCGAIn%2F1wCGAJT%2F1wCGAJX%2F1wCGAJb%2F1wCGAJf%2F1wCGAJj%2F1wCGAJr%2F1wCGAJ%2F%2FhQCGAMP%2F1wCGAMv%2FcQCGAM7%2FcQCHAAX%2FcQCHAAr%2FcQCHACb%2F1wCHACr%2F1wCHAC0BCgCHADL%2F1wCHADT%2F1wCHADf%2FcQCHADn%2FrgCHADr%2FrgCHADz%2FhQCHAIn%2F1wCHAJT%2F1wCHAJX%2F1wCHAJb%2F1wCHAJf%2F1wCHAJj%2F1wCHAJr%2F1wCHAJ%2F%2FhQCHAMP%2F1wCHAMv%2FcQCHAM7%2FcQCIAC0AewCJACb%2F1wCJACr%2F1wCJADL%2F1wCJADT%2F1wCJAIn%2F1wCJAJT%2F1wCJAJX%2F1wCJAJb%2F1wCJAJf%2F1wCJAJj%2F1wCJAJr%2F1wCJAMP%2F1wCKAC0AewCLAC0AewCMAC0AewCNAC0AewCSAA%2F%2FrgCSABH%2FrgCSACT%2F1wCSADf%2FwwCSADn%2F7ACSADr%2F7ACSADv%2F1wCSADz%2F7ACSAD3%2F7ACSAIL%2F1wCSAIP%2F1wCSAIT%2F1wCSAIX%2F1wCSAIb%2F1wCSAIf%2F1wCSAJ%2F%2F7ACSAMz%2FrgCSAM%2F%2FrgCUAA%2F%2FrgCUABH%2FrgCUACT%2F1wCUADf%2FwwCUADn%2F7ACUADr%2F7ACUADv%2F1wCUADz%2F7ACUAD3%2F7ACUAIL%2F1wCUAIP%2F1wCUAIT%2F1wCUAIX%2F1wCUAIb%2F1wCUAIf%2F1wCUAJ%2F%2F7ACUAMz%2FrgCUAM%2F%2FrgCVAA%2F%2FrgCVABH%2FrgCVACT%2F1wCVADf%2FwwCVADn%2F7ACVADr%2F7ACVADv%2F1wCVADz%2F7ACVAD3%2F7ACVAIL%2F1wCVAIP%2F1wCVAIT%2F1wCVAIX%2F1wCVAIb%2F1wCVAIf%2F1wCVAJ%2F%2F7ACVAMz%2FrgCVAM%2F%2FrgCWAA%2F%2FrgCWABH%2FrgCWACT%2F1wCWADf%2FwwCWADn%2F7ACWADr%2F7ACWADv%2F1wCWADz%2F7ACWAD3%2F7ACWAIL%2F1wCWAIP%2F1wCWAIT%2F1wCWAIX%2F1wCWAIb%2F1wCWAIf%2F1wCWAJ%2F%2F7ACWAMz%2FrgCWAM%2F%2FrgCXAA%2F%2FrgCXABH%2FrgCXACT%2F1wCXADf%2FwwCXADn%2F7ACXADr%2F7ACXADv%2F1wCXADz%2F7ACXAD3%2F7ACXAIL%2F1wCXAIP%2F1wCXAIT%2F1wCXAIX%2F1wCXAIb%2F1wCXAIf%2F1wCXAJ%2F%2F7ACXAMz%2FrgCXAM%2F%2FrgCYAA%2F%2FrgCYABH%2FrgCYACT%2F1wCYADf%2FwwCYADn%2F7ACYADr%2F7ACYADv%2F1wCYADz%2F7ACYAD3%2F7ACYAIL%2F1wCYAIP%2F1wCYAIT%2F1wCYAIX%2F1wCYAIb%2F1wCYAIf%2F1wCYAJ%2F%2F7ACYAMz%2FrgCYAM%2F%2FrgCaAA%2F%2FrgCaABH%2FrgCaACT%2F1wCaADf%2FwwCaADn%2F7ACaADr%2F7ACaADv%2F1wCaADz%2F7ACaAD3%2F7ACaAIL%2F1wCaAIP%2F1wCaAIT%2F1wCaAIX%2F1wCaAIb%2F1wCaAIf%2F1wCaAJ%2F%2F7ACaAMz%2FrgCaAM%2F%2FrgCbAA%2F%2F1wCbABH%2F1wCbACT%2F7ACbAIL%2F7ACbAIP%2F7ACbAIT%2F7ACbAIX%2F7ACbAIb%2F7ACbAIf%2F7ACbAMz%2F1wCbAM%2F%2F1wCcAA%2F%2F1wCcABH%2F1wCcACT%2F7ACcAIL%2F7ACcAIP%2F7ACcAIT%2F7ACcAIX%2F7ACcAIb%2F7ACcAIf%2F7ACcAMz%2F1wCcAM%2F%2F1wCdAA%2F%2F1wCdABH%2F1wCdACT%2F7ACdAIL%2F7ACdAIP%2F7ACdAIT%2F7ACdAIX%2F7ACdAIb%2F7ACdAIf%2F7ACdAMz%2F1wCdAM%2F%2F1wCeAA%2F%2F1wCeABH%2F1wCeACT%2F7ACeAIL%2F7ACeAIP%2F7ACeAIT%2F7ACeAIX%2F7ACeAIb%2F7ACeAIf%2F7ACeAMz%2F1wCeAM%2F%2F1wCfAA%2F%2FhQCfABH%2FhQCfACIAKQCfACT%2FhQCfACb%2F1wCfACr%2F1wCfADL%2F1wCfADT%2F1wCfAET%2FmgCfAEb%2FmgCfAEf%2FmgCfAEj%2FmgCfAEr%2F1wCfAFD%2FwwCfAFH%2FwwCfAFL%2FmgCfAFP%2FwwCfAFT%2FmgCfAFX%2FwwCfAFb%2FrgCfAFj%2FwwCfAF3%2F1wCfAIL%2FhQCfAIP%2FhQCfAIT%2FhQCfAIX%2FhQCfAIb%2FhQCfAIf%2FhQCfAIn%2F1wCfAJT%2F1wCfAJX%2F1wCfAJb%2F1wCfAJf%2F1wCfAJj%2F1wCfAJr%2F1wCfAKL%2FmgCfAKP%2FmgCfAKT%2FmgCfAKX%2FmgCfAKb%2FmgCfAKf%2FmgCfAKj%2FmgCfAKn%2FmgCfAKr%2FmgCfAKv%2FmgCfAKz%2FmgCfAK3%2FmgCfALT%2FmgCfALX%2FmgCfALb%2FmgCfALf%2FmgCfALj%2FmgCfALr%2FmgCfALv%2FwwCfALz%2FwwCfAL3%2FwwCfAL7%2FwwCfAMP%2F1wCfAMT%2FmgCfAMz%2FhQCfAM%2F%2FhQCgAA%2F%2B9gCgABH%2B9gCgACT%2FmgCgADv%2F1wCgAD3%2F7ACgAIL%2FmgCgAIP%2FmgCgAIT%2FmgCgAIX%2FmgCgAIb%2FmgCgAIf%2FmgCgAMz%2B9gCgAM%2F%2B9gCiAAX%2F7ACiAAr%2F7ACiAMv%2F7ACiAM7%2F7ACjAAX%2F7ACjAAr%2F7ACjAMv%2F7ACjAM7%2F7ACkAAX%2F7ACkAAr%2F7ACkAMv%2F7ACkAM7%2F7AClAAX%2F7AClAAr%2F7AClAMv%2F7AClAM7%2F7ACmAAX%2F7ACmAAr%2F7ACmAMv%2F7ACmAM7%2F7ACnAAX%2F7ACnAAr%2F7ACnAMv%2F7ACnAM7%2F7ACqAAX%2F7ACqAAr%2F7ACqAFn%2F1wCqAFr%2F1wCqAFv%2F1wCqAFz%2F1wCqAF3%2F7ACqAL%2F%2F1wCqAMv%2F7ACqAM7%2F7ACrAAX%2F7ACrAAr%2F7ACrAFn%2F1wCrAFr%2F1wCrAFv%2F1wCrAFz%2F1wCrAF3%2F7ACrAL%2F%2F1wCrAMv%2F7ACrAM7%2F7ACsAAX%2F7ACsAAr%2F7ACsAFn%2F1wCsAFr%2F1wCsAFv%2F1wCsAFz%2F1wCsAF3%2F7ACsAL%2F%2F1wCsAMv%2F7ACsAM7%2F7ACtAAX%2F7ACtAAr%2F7ACtAFn%2F1wCtAFr%2F1wCtAFv%2F1wCtAFz%2F1wCtAF3%2F7ACtAL%2F%2F1wCtAMv%2F7ACtAM7%2F7ACyAAX%2F7ACyAAr%2F7ACyAFn%2F1wCyAFr%2F1wCyAFv%2F1wCyAFz%2F1wCyAF3%2F7ACyAL%2F%2F1wCyAMv%2F7ACyAM7%2F7AC0AAX%2F7AC0AAr%2F7AC0AFn%2F1wC0AFr%2F1wC0AFv%2F1wC0AFz%2F1wC0AF3%2F7AC0AL%2F%2F1wC0AMv%2F7AC0AM7%2F7AC1AAX%2F7AC1AAr%2F7AC1AFn%2F1wC1AFr%2F1wC1AFv%2F1wC1AFz%2F1wC1AF3%2F7AC1AL%2F%2F1wC1AMv%2F7AC1AM7%2F7AC2AAX%2F7AC2AAr%2F7AC2AFn%2F1wC2AFr%2F1wC2AFv%2F1wC2AFz%2F1wC2AF3%2F7AC2AL%2F%2F1wC2AMv%2F7AC2AM7%2F7AC4AAX%2F1wC4AAr%2F1wC4AMv%2F1wC4AM7%2F1wC6AAX%2F7AC6AAr%2F7AC6AFn%2F1wC6AFr%2F1wC6AFv%2F1wC6AFz%2F1wC6AF3%2F7AC6AL%2F%2F1wC6AMv%2F7AC6AM7%2F7AC%2FAAUAUgC%2FAAoAUgC%2FAA%2F%2FrgC%2FABH%2FrgC%2FACIAKQC%2FAMsAUgC%2FAMz%2FrgC%2FAM4AUgC%2FAM%2F%2FrgDAAAX%2F7ADAAAr%2F7ADAAFn%2F1wDAAFr%2F1wDAAFv%2F1wDAAFz%2F1wDAAF3%2F7ADAAL%2F%2F1wDAAMv%2F7ADAAM7%2F7ADBAAUAUgDBAAoAUgDBAA%2F%2FrgDBABH%2FrgDBACIAKQDBAMsAUgDBAMz%2FrgDBAM4AUgDBAM%2F%2FrgDDAC0AewDIADf%2FrgDJADf%2FrgDKACT%2FcQDKADcAKQDKADkAKQDKADoAKQDKADwAFADKAET%2FrgDKAEb%2FhQDKAEf%2FhQDKAEj%2FhQDKAEr%2FwwDKAFD%2FwwDKAFH%2FwwDKAFL%2FhQDKAFP%2FwwDKAFT%2FhQDKAFX%2FwwDKAFb%2FwwDKAFj%2FwwDKAIL%2FcQDKAIP%2FcQDKAIT%2FcQDKAIX%2FcQDKAIb%2FcQDKAIf%2FcQDKAJ8AFADKAKL%2FhQDKAKP%2FrgDKAKT%2FrgDKAKX%2FrgDKAKb%2FrgDKAKf%2FrgDKAKj%2FrgDKAKn%2FhQDKAKr%2FhQDKAKv%2FhQDKAKz%2FhQDKAK3%2FhQDKALT%2FhQDKALX%2FhQDKALb%2FhQDKALf%2FhQDKALj%2FhQDKALr%2FhQDKALv%2FwwDKALz%2FwwDKAL3%2FwwDKAL7%2FwwDKAMT%2FhQDLACT%2FcQDLADcAKQDLADkAKQDLADoAKQDLADwAFADLAET%2FrgDLAEb%2FhQDLAEf%2FhQDLAEj%2FhQDLAEr%2FwwDLAFD%2FwwDLAFH%2FwwDLAFL%2FhQDLAFP%2FwwDLAFT%2FhQDLAFX%2FwwDLAFb%2FwwDLAFj%2FwwDLAIL%2FcQDLAIP%2FcQDLAIT%2FcQDLAIX%2FcQDLAIb%2FcQDLAIf%2FcQDLAJ8AFADLAKL%2FhQDLAKP%2FrgDLAKT%2FrgDLAKX%2FrgDLAKb%2FrgDLAKf%2FrgDLAKj%2FrgDLAKn%2FhQDLAKr%2FhQDLAKv%2FhQDLAKz%2FhQDLAK3%2FhQDLALT%2FhQDLALX%2FhQDLALb%2FhQDLALf%2FhQDLALj%2FhQDLALr%2FhQDLALv%2FwwDLALz%2FwwDLAL3%2FwwDLAL7%2FwwDLAMT%2FhQDMACb%2FmgDMACr%2FmgDMADL%2FmgDMADT%2FmgDMADf%2FcQDMADj%2F1wDMADn%2FhQDMADr%2FhQDMADz%2FhQDMAIn%2FmgDMAJT%2FmgDMAJX%2FmgDMAJb%2FmgDMAJf%2FmgDMAJj%2FmgDMAJr%2FmgDMAJv%2F1wDMAJz%2F1wDMAJ3%2F1wDMAJ7%2F1wDMAJ%2F%2FhQDMAMP%2FmgDNACT%2FcQDNADcAKQDNADkAKQDNADoAKQDNADwAFADNAET%2FrgDNAEb%2FhQDNAEf%2FhQDNAEj%2FhQDNAEr%2FwwDNAFD%2FwwDNAFH%2FwwDNAFL%2FhQDNAFP%2FwwDNAFT%2FhQDNAFX%2FwwDNAFb%2FwwDNAFj%2FwwDNAIL%2FcQDNAIP%2FcQDNAIT%2FcQDNAIX%2FcQDNAIb%2FcQDNAIf%2FcQDNAJ8AFADNAKL%2FhQDNAKP%2FrgDNAKT%2FrgDNAKX%2FrgDNAKb%2FrgDNAKf%2FrgDNAKj%2FrgDNAKn%2FhQDNAKr%2FhQDNAKv%2FhQDNAKz%2FhQDNAK3%2FhQDNALT%2FhQDNALX%2FhQDNALb%2FhQDNALf%2FhQDNALj%2FhQDNALr%2FhQDNALv%2FwwDNALz%2FwwDNAL3%2FwwDNAL7%2FwwDNAMT%2FhQDPACb%2FmgDPACr%2FmgDPADL%2FmgDPADT%2FmgDPADf%2FcQDPADj%2F1wDPADn%2FhQDPADr%2FhQDPADz%2FhQDPAIn%2FmgDPAJT%2FmgDPAJX%2FmgDPAJb%2FmgDPAJf%2FmgDPAJj%2FmgDPAJr%2FmgDPAJv%2F1wDPAJz%2F1wDPAJ3%2F1wDPAJ7%2F1wDPAJ%2F%2FhQDPAMP%2FmgAAAB4BbgABAAAAAAAAADQAagABAAAAAAABABIAxQABAAAAAAACAAcA6AABAAAAAAADACcBQAABAAAAAAAEABIBjgABAAAAAAAFAAwBuwABAAAAAAAGABEB7AABAAAAAAAHAFICpAABAAAAAAAIABQDIQABAAAAAAALABwDcAABAAAAAAAMAC4D6wABAAAAAAANAC4EeAABAAAAAAAOACoE%2FQABAAAAAAAQAAkFPAABAAAAAAARAAgFWAADAAEECQAAAGgAAAADAAEECQABACQAnwADAAEECQACAA4A2AADAAEECQADAE4A8AADAAEECQAEACQBaAADAAEECQAFABgBoQADAAEECQAGACIByAADAAEECQAHAKQB%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%2BAD8AQABBAEIAQwBEAEUARgBHAEgASQBKAEsATABNAE4ATwBQAFEAUgBTAFQAVQBWAFcAWABZAFoAWwBcAF0AXgBfAGAAYQCsAKMAhACFAL0AlgDoAIYAjgCLAJ0AqQCkAQIAigEDAIMAkwDyAPMAjQCXAIgAwwDeAPEAngCqAPUA9AD2AKIArQDJAMcArgBiAGMAkABkAMsAZQDIAMoAzwDMAM0AzgDpAGYA0wDQANEArwBnAPAAkQDWANQA1QBoAOsA7QCJAGoAaQBrAG0AbABuAKAAbwBxAHAAcgBzAHUAdAB2AHcA6gB4AHoAeQB7AH0AfAC4AKEAfwB%2BAIAAgQDsAO4AugDXALAAsQDYAN0A2QCyALMAtgC3AMQAtAC1AMUAhwC%2BAL8AvAEEAQUHdW5pMDBBRAlvdmVyc2NvcmUMZm91cnN1cGVyaW9yBEV1cm8AAAABAAIACAAK%2F%2F8ADwAAAAEAAAAAyYlvMQAAAADJTOp9AAAAAMnt2GI%3D%29%20format%28%27truetype%27%29%3B%0A%7D%0A%40font%2Dface%20%7B%0Afont%2Dfamily%3A%20%27Open%20Sans%27%3B%0Afont%2Dstyle%3A%20italic%3B%0Afont%2Dweight%3A%20400%3B%0Asrc%3A%20url%28data%3Aapplication%2Fx%2Dfont%2Dtruetype%3Bbase64%2CAAEAAAAQAQAABAAARkZUTVzakEwAAIZUAAAAHE9TLzKhTLaOAAABiAAAAGBjbWFwjOjcmQAABUAAAAGyY3Z0IA7AFxkAAA%2B0AAAAoGZwZ21%2BYbYRAAAG9AAAB7RnYXNwABUAIwAAhkQAAAAQZ2x5Zr%2FLVRcAABIEAABJAGhlYWT4qxTOAAABDAAAADZoaGVhDj8E%2FgAAAUQAAAAkaG10eGTdQjIAAAHoAAADWGtlcm4Mlg8JAABbBAAAIwRsb2NhW7BKSgAAEFQAAAGubWF4cAJdAPoA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60YBIyIzHxwzG1UWMxVVEQEPVRAzD1UPD08PAh8Pzw8CDw%2F%2FDwIGAgEAVQEzAFVvAH8ArwDvAAQQAAGAFgEFAbgBkLFUUysrS7gH%2F1JLsAlQW7ABiLAlU7ABiLBAUVqwBoiwAFVaW1ixAQGOWYWNjQBCHUuwMlNYsCAdWUuwZFNYsBAdsRYAQllzcysrXnN0dSsrKysrdCtzdCsrKysrKysrKysrKytzdCsrKxheAAAABhQAFwBOBbYAFwB1BbYFzQAAAAAAAAAAAAAAAAAABEgAFACRAAD%2F7AAAAAD%2F7AAAAAD%2F7AAA%2FhT%2F7AAABbYAF%2FyU%2F%2Bv%2Bhf5e%2Fqj%2F6wAW%2FrwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAAAAAAAAiwCBAN0AmACPAI4AmQCIAIEBDwAAAAAAAAAAAAAALgBMAKQBDAF6AeYB%2BgIcAjwCZgKGApwCrgLKAuADHAM%2BA3oDzAQIBE4EpgTEBSgFfgWuBdoF%2FAYaBj4GjgcKBzoHiAfAB%2FYIJAhKCJIIugjOCPIJHAk2CW4JmgnaCg4KWgqYCuQLBAs2C1oLmgvCC%2BIMCgwmDDoMVgxyDIQMnAzmDTINZg2yDfwORg7ODw4PMA9mD5YPqBAAEDoQdhDCERARQBGIEcgSABIiEmYSjhLGEu4TOBNKE5QTxhPGE%2FAUNhSAFNAVGhU6FaQVzhY%2BFnwWshbIFtAXQBdSF4AXsBfiGCIYPBh6GKQYrhjSGPIZIBlUGWoZgBmWGeQZ9hoIGhoaLBpAGloapBqwGsIa1BrmGvobDBseGzAbRBuQG6IbtBvGG9gb6hv%2BHCochhyYHKocvBzQHOIdHh2QHaIdtB3GHdgd6h38HoAejB6eHrAewh7UHuYe%2BB8KHx4fgh%2BUH6YfuB%2FKH9wf7iAgIH4gkCCiILQgxiDYISghOiFMIaQiGCI8Im4inCKuIsAi2CLyIwgjLiNWI3ojlCOyI9Ij6CQcJIAAAAACACv%2F4wIrBbYABAAQABhACwICDgQDDghPWQ4WAD8rABg%2FEjkvMTAJASMSEwE0NjMyFhUUBiMiJgIr%2Fu5tMX%2F%2Bz09ELThOQjE3Bbb73QEzAvD6mExYNzZEXjgAAAIA4QOmA0IFtgADAAcADbQGAgcDAwA%2FM80yMTABAyMTIQMjEwHlmWtIAhmaa0gFtv3wAhD98AIQAAAAAAIAPwAABTsFtgAbAB8AM0AYAB8QEBkVERETBAgMDAEcDQ0KFxMDBgoSAD8zPzMSOS8zMzMRMzMROS8zMzMRMzMxMAEDIQchAyMTIQMjEyE3IRMhNyETMwMhEzMDIQcBIRMhBAxiAR0N%2Fst9i4H%2B0X%2BFef77DQEcZf7rDQEte4t9ATF%2FhX0BCAz8xQEvYP7RA4P%2BrIH%2BUgGu%2FlIBroEBVH8BtP5MAbT%2BTH%2F%2BrAFUAAAAAwBI%2F4kELwYQAB4AJQAsADpAHx8MAykiLBwNJQYGEwYMS1kbJhMmS1kWEwYTBhMVBRUALy8SOTkvLxEzKxEAMysREgAXOTIRMzEwARQGDwEjNyYnNR4BMxMuATU0Nj8BMwcWFwcmJwMeAQE%2BATU0JicDDgEVFBYXA67hxTGFMcN4UrtJYot92L8nhSeffD95f16Vf%2F53a35CUQhsdkVJAeyiyhbh3w46miktAcQxlXKfwBGwsgxAhz8J%2Fkg3jP6iDXxcNlQgAkoLdGI1WRoAAAUAqP%2FsBfwFywADAA8AHgArADoAJUASBBwcAyUxMQIDBgIYHzgHChUZAD8zPzM%2FPxI5LzMROS8zMTAJASMBAyIOARUUMzI2EjU0FxQCDgEjIiY1NBI2MzIWASIOARUUMzI%2BAjU0FxQCDgEjIiY1NBI2MzIWBbz7w5gEPiFDaT9qQWhFiz9ljVZuemWscnR4%2FCNCakBrNFQ%2FJoxAZYxXbXplrHJ0eAW2%2BkoFtv1Ogfh0rYIBC2eml2v%2B%2FrFjlZGmATGYjwJcfvl3rE%2BVyUemmGz%2B%2FbBilpGmATGYkAADAEL%2F7AUfBc0ACwAWADUAMEAbKioaBRAnBA8oMC0EHy8SHwBKWR8EMwxKWTMTAD8rABg%2FKwAYPxIXORc5OS8xMAEiBhUUFz4CNTQmATI2NwEOAhUUFiU0NjcmNTQ2MzIWFRQOAgcBNjczBgcTIycOASMiJgLhaXRSi2g%2BVf6lV6Jy%2Fs6AcDuF%2Fti01WfUr5WvQW6RUQEWf0ioZbbLyXV43ImoygVEeG54c0dOXDpNWfszQlsBsUNidUlqgd%2BU22alkKTJnoVOdmJSKv57brnssP7ypmRWwAABAOEDpgHlBbYAAwAJsgIDAwA%2FzTEwAQMjEwHlmWtIBbb98AIQAAAAAQBS%2FrwC5wW2AAsACrMDAwonAD8%2FMTATEBIBMwoBERATIwJS8AEInfb7coOTARABUwJAARP%2B8v2o%2FsL%2Brf79AQoAAAAB%2F2D%2BvAH0BbYACgAKswgDBCcAPz8xMAEQAgEjABEQAzMSAfTz%2FvucAfBxg5IDYP6r%2Fb%2F%2B8gInAn0BVQEB%2FvMAAQDXAmoEgQYbAA4AC7MGBg4AAD8zLzEwAQMlByUTBwMBJwElNwUTA1Z7AaYI%2Fne0pnH%2B%2FnQBNf6LNwFzKQX4%2FoESnS%2F%2BgTQBlv6oeQEcbZq5AZAAAQB%2FAQgEFwSgAAsADrQJAQEGAgAvMzMRMzEwASE1IREzESEVIREjAgT%2BewGFjQGG%2FnqNAouOAYf%2BeY7%2BfQAAAAH%2FnP74ASsA7gAGAAixBAAAL80xMCUXBgcjEjcBIwhxnYF%2BTu4X6%2FQBHtgAAQA3AdUCOQJzAAMACLEAAQAvMzEwEzchBzcjAd8iAdWengAAAQAr%2F%2BMBIwDyAAsADLUJA09ZCRYAPysxMDc0NjMyFhUUBiMiJitRRys1UEQuNkpNWzQ1R180AAAB%2F6IAAAN9BbYAAwAKswMDAhIAPz8xMAkBIwEDffzTrgMtBbb6SgW2AAAAAAIAef%2FsBEQFzQAMABkAF0AMCw1LWQsHBBRLWQQZAD8rABg%2FKzEwARACBCMiAjUQEiQzIAUiBgIVFBYzMjYSNRAERJ3%2B8bOwvKQBDa0Bbf6JccB3ZG9zvHED9v7Z%2Fhj7AP%2FyAQ4B6fmQ5%2F5h2Ky45AGs7wFDAAAAAAEBLwAAA4UFtgAKABC2BAcBCQYBGAA%2FPxI5OTEwISMTEjcGDwEnATMCTKzEOx0yWbJQAcGVA5EBBWI1Om5%2FARwAAAAAAQAMAAAENwXLABsAHEAOAhoRC0tZEQcBGkxZARgAPysAGD8rEQAzMTApATcBPgM1NCYjIgYHJzYzMhYVFA4BBwEVIQOP%2FH0fAdFmlWEveGdNk1lSv96wzU%2B3y%2F6gAqaTAaRdjX17S2N0OURzmrGbb7rQsf7NCAAAAQAv%2F%2BwEMQXLACgALUAXAxgZGRhLWRkZCyYmIEtZJgcLEUtZCxkAPysAGD8rERIAORgvKxESADkxMAEUBgcVHgEVFA4BIyInNR4BMzI2NTQmKwE3MzI2NTQmIyIGByc2MzIWBDHKs3yOfO6k0q9e0lWitJ6Ngx%2BLpdp0Y1CaYlDD5bPEBIec2SAJF6d9hctyT6QxNZ%2BKg4eProxcbDZCdpCuAAACABAAAARMBb4ACgATACVAEgYTDwcBBRMFTFkJExMDBwYDGAA%2FPxI5LzMrEQAzETMRMzEwASMDIxMhNwEzAzMhNhITIw4BBwEEK%2BlIpEr9cB0DQsTP6P51LkBUCBFjF%2F3rAU7%2BsgFOngPS%2FCncATIBJB2HHf2PAAABAFD%2F7ARIBbYAHAAtQBcbBwAAEk1ZAAAHFxcaTFkXBgcMS1kHGQA%2FKwAYPysREgA5GC8rERIAOTEwATIWFRQGBCMiJzUWMzI2NTQmIyIGBycTIQchAzYCVrbXkv76scGJpKq%2F1pODMGJaSsUCnCH99n9XA33RsqH0eU%2BkZsCsfpMNGDkCrJn%2BSRcAAAIAhf%2FsBFoFywAaACgALUAXDRgFESFNWRERGAUFCktZBQcYG0tZGBkAPysAGD8rERIAORgvKxESADkxMBM0GgEkMzIXByYjIgADMz4BMzIWFRQCBiMiJgUyPgE1NCMiDgIVFBaFec4BHrhvSSNEZtT%2B30QIO69qmrSF5JO2xwGPXpNR3UJ8YDB5AajRAZwBI5MXkRb%2B1v7aT17FrKH%2B9Y3mWWy%2Bcfg5X3JiiZ4AAAAAAQCuAAAEeQW2AAYAFkAKBQIAGAMCTFkDBgA%2FKwAYPxEzMTAzASE3IQcBrgMA%2FTEfA3sb%2FQQFIZWL%2BtUAAwBg%2F%2BwEVgXNABkAJQAxADJAGxMGKSMEDQAsGktZLCwNAAAmS1kABw0gS1kNGQA%2FKwAYPysREgA5GC8rERIAFzkxMAEyFhUUBgceARUUDgEjIiY1NDY3LgE1ND4BAw4BFRQWMzI2NTQmEyIGFRQWFz4BNTQmAuWuw5y8f2p44Zi%2B2L7JX1Ftxgq5mYpwi6ZoCHKITlihhnMFza2VgcBQTq5zer9mxamU2ExFl2Bvr2H87zynd2t%2BlHpjlgK9g25SfDY8j2ZaagACAGL%2F7AQrBcsAGgAoAC1AFw4FGCERTVkhIQUYGBtLWRgHBQpLWQUZAD8rABg%2FKxESADkYLysREgA5MTABFAoBBCMiJzUWMzISEyMOASMiJjU0EjYzMhYlIgYVFBYzMj4CNTQmBCtwt%2F78rIhqhnDK%2BkAKM6NjqbiB55C0x%2F5%2FlrZtbEyAWSl2BArC%2Flf%2B2Ywini8BGgEsS1fFvpkA%2F4%2FlV%2BKxfIQ5anpag5kAAgAr%2F%2BMBwwRkAAsAFgAXQAwPFE9ZDxAJA09ZCRYAPysAGD8rMTA3NDYzMhYVFAYjIiYTNDYzMhUUBiMiJitRRys1UEQuNqBQR2FTQS42Sk1bNDVHXzQDpU1baEldNQAAAv%2Bc%2FvgBwwRkAAYAEQAVQAkEQAYKD09ZChAAPysAGC8azjEwJRcGByMSNxM0NjMyFRQGIyImASMIcZ2Bfk5jUEdhU0EuNu4X6%2FQBHtgCzk1baEldNQAAAAEAeQDyBBAE2QAGABdACQECBQUGBAMAAwAvLxEzMjkRMzMxMCUBNQEVCQEEEPxpA5f9FQLr8gGmYgHflf6N%2FrgAAAAAAgB%2FAbwEFwPlAAMABwAStwUABAEEBAABAC8zMy9dMzEwEzUhFQE1IRV%2FA5j8aAOYA1qLi%2F5ijo4AAAAAAQB5APIEEATZAAYAG0ALBQQBAQMABgIDBgMALy8RMxEzEjkRMzMxMBMJATUBFQF5Aun9FwOX%2FGkBiQFIAXOV%2FiFi%2FloAAAAAAgCe%2F%2BMDmgXLABoAJgAlQBIHEQAAJBEkHk9ZJBYRCklZEQQAPysAGD8rERIAORgvEjkxMAE%2BATc%2BAjU0JiMiBgcnPgEzMhYVFAYHDgEHAzQ2MzIWFRQGIyImAQQWZXOAUC5nYFGUQj1cyFKnuIOgfVgX7VBHLDVTQS42AZOCp1tkWGQ%2BXWUzH4EzMqiae894W3Fo%2FrdNWzQ1SV00AAAAAAIAb%2F9GBo8FtAA1AEEAKkATJisHCTYQGD09BAkQCRAJKx8yAwA%2FM8Q5OS8vETMzETMRMxI5ETMxMAEUAgYjIicjBiMiJjU0PgEzMhYXDgEXFDMyPgE1NAAjIgQCFRAAITI3FQYjIAAREBIkITIEEgUiDgEVFBYzMhsBJgaPbsh6xRAIb7Rzg4jxjEF9WEBEA2ZOf0r%2FAPLk%2FpvFAR8BCsXf2%2BD%2Bxv6X%2FQGyAQ2%2FARSR%2FUpeoFxCQbtVRj8DVLP%2B3qS4uJeGnf6QGCTy%2FC51hul%2F7wEA1v6H5P7y%2FtdWf1oBcQFBAQUBwfaX%2FuxfbsRyXVMBOwECFwAAAv%2BLAAAEEAW2AAcADgAdQA4LBA4BSVkODgMEAwcDEgA%2FMz8SOS8rEQAzMTABIQMjATMTIwsBJicOAQMDLf4Q9b0DH664qksjGAUlV84B0f4vBbb6SgJtASuzq1iu%2Fn0AAwBWAAAEsgW2AA4AFwAgAC1AFwUgDw8gSlkPDw0ODhdKWQ4DDRhKWQ0SAD8rABg%2FKxESADkYLysREgA5MTABIBEUBgcVHgEVFAQjIQETMzI2NTQmKwEDITI2NTQmKwEDAgGwrp5ze%2F7Q%2F%2F4xATUn%2BJy6hY%2FT%2BgEKtcKVjOwFtv6wjcIdCiCdbtTxBbb9jpJ%2BaGf7bqGTdHsAAAAAAQCW%2F%2BwFCgXLABgAF0AMFABJWRQEDQdJWQ0TAD8rABg%2FKzEwASIEAhUUFjMyNxUOASMiABEQEiQzMhcHJgOurv7tocOri7dWnG7y%2FuzTAWThxZdFigUzwv6J3bvfOZUfHAErAQIBBQHB7FCNRQAAAAIAVgAABRQFtgAJABMAF0AMBhJKWQYDBRNKWQUSAD8rABg%2FKzEwARACBCkBASEgAAEyJBI1NCYrAQMFFNL%2Bev76%2FqABNQFWARQBH%2FytygEyo87HsvoDbf77%2FnDYBbb%2B1fwItwFO19fd%2B3AAAAEAVgAABGoFtgALACZAFAYJSVkGBgECAgVJWQIDAQpJWQESAD8rABg%2FKxESADkYLysxMCkBASEHIQMhByEDIQM1%2FSEBNQLfIP3KYgIPHf3vcgI1BbaZ%2FiuY%2FegAAQBWAAAEagW2AAkAHUAPBglJWQYGAgESAgVJWQIDAD8rABg%2FEjkvKzEwISMBIQchAyEHIQECrAE1At8e%2FchuAhAg%2Fe8Ftpn965kAAAEAlv%2FsBU4FywAdACZAFAAdSVkAAAQLCxJJWQsEBBlJWQQTAD8rABg%2FKxESADkYLysxMAEhAwYjIAAREBIkMzIWFwcuASMiBAIVFBYzMjcTIQM1Acua2Mv%2B%2BP7bywFo23XNaEJNsWqp%2FuuazbiaamD%2B3wL%2B%2FTlLASEBAwENAbn1KCyYIjLL%2FpThvtonAbwAAAEAVgAABXMFtgALABpADQgDSVkICAUKBgMBBRIAPzM%2FMxI5LysxMCEjEyEDIwEzAyETMwQ9p4%2F9bJGqATWqgwKUhagCsP1QBbb9kgJuAAAAAQBWAAACNQW2AAMACrMBAwASAD8%2FMTAzATMBVgE3qP7JBbb6SgAAAAH%2Bwf5%2FAjUFtgAMABG3CQMABUlZACIAPysAGD8xMAMiJzcWMzI2NwEzAQKmaTAGRUxkgxkBM6r%2By0%2F%2BfxmTFH14Bar6RP6FAAEAVgAABSsFtgANABVACQoEBwsIAwEHEgA%2FMz8zEjk5MTAhIyYCJwcDIwEzAwEzAQQKukiVSK59qgE1qpcCvNH9gbUBZbeD%2FbIFtv06Asb9gwAAAAEAVgAAA1YFtgAFABG3AQMAA0lZABIAPysAGD8xMDMBMwEhB1YBNar%2B7AI1IQW2%2BuSaAAABAFQAAAa4BbYAFAAZQAwKAhMDBwwIAwAPBxIAPzMzPzMSFzkxMCEDIw4BBwMjATMTMwEhASMaATcjAQKkpggHKxC%2BogE19JUJApMBCv7Rrn6GGwb9MwUQSPtK%2FH0FtvtMBLT6SgJOAndN%2Bu4AAAAAAQBUAAAFqAW2AA8AFUAJAwsHDggDAQcSAD8zPzMSOTkxMCEjASMGBwMjATMBMzY3EzMEc7X%2BNAYgKqyiATW0AcsGHiqupATH3cX82wW2%2BzzgtQMvAAAAAAIAlv%2FsBYMFzQANABsAF0AMCw5JWQsEBBVJWQQTAD8rABg%2FKzEwARACBCMgABEQEiQzMgAlIgYCFRQWMzI2EjU0JgWDsP641%2F8A%2FuLAAU%2FS9AEY%2Feed%2BInEqJjxjLwDi%2F7z%2FlfpASsBDgEIAbTs%2Fsycyv6Y2sffwwFs3cffAAAAAgBWAAAEhwW2AAoAEwAdQA8LBEpZCwsHBhIHE0pZBwMAPysAGD8SOS8rMTABFAAhIwMjASEyFgEzMjY1NCYrAQSH%2Frj%2Bw4d7qgE1AUrW3P0Thdjgi5CjBD34%2Fvr9wQW2vf3YtrB9bwACAJb%2BpAWDBc0ADQAfACNAER8QHRAHFwBJWRcEEAdJWRATAD8rABg%2FKxESADkYEMYxMAEiBgIVFBYzMjYSNTQmAQcjIAAREBIkMzIAERAABwEjA2qd%2BInEqJ7yhbz%2BxBEQ%2FwD%2B4sABT9L0ARj%2B6uwBEtsFNcr%2BmNrH38gBadvH3%2Fq5AgErAQ4BCAG07P7M%2FvL%2Bs%2F4aTv6aAAIAVgAABIkFtgALABUAJkATCAAODgBKWQ4OAwoCEgMMSVkDAwA%2FKwAYPzMSOS8rERIAOTEwAQMjASEgERAFEyMLAQIHMzI2NTQmIwGBgaoBNQFAAb7%2BkO%2B60WlmDqjB0IeYAmD9oAW2%2FpL%2BpGX9eQJgAsH%2BEkGqn3ltAAABACf%2F7AQjBcsAJgAgQBAfDBUDFRxJWRUEAwlJWQMTAD8rABg%2FKxESADk5MTABFAQjIiYnNRYzMjY1NCYnLgE1NCQzMhYXBy4BIyIGFRQeARceAgOR%2Fuf%2FaqFHorKivmmPl3UBCNdjq19CQqRFhqMiSmmTZzUBqNPpHSKqVJeETndRVap0u%2BsmLpYmLIt3Nk1EPVhkeQAAAAEAugAABLQFtgAHABZACgESBwMEA0lZBAMAPysRADMYPzEwISMBITchByEB56wBFf5qIQPZHv5oBR%2BXlwAAAAABAKT%2F7AV%2FBbYAFQAUQAkVCgMEEUlZBBMAPysAGD8zMTABAwIEIyImNTQ3EzMDBhUUFjMyNjcTBX%2FNN%2F7j9ubeGL2qvxaSkay%2FLM0Ftvw6%2Fvn90MNReANu%2FIVqUnWHr8oDugAAAQC8AAAFHwW2AAsAELYLBgMHAwYSAD8%2FMxEzMTAlNjcBMwEjAzMTFhUB3z1lAd%2B%2F%2FPO0oqphFMWQwgOf%2BkoFtvxexIsAAAAAAQDfAAAHgQW2AB0AGUAMBA8YAwkcEwoDAQkSAD8zPzMzEhc5MTAhIwMmNSMOAQEjAzMTFxQHMzY3ATMTFhUHMzY3ATME6aoxCAYZSP4srj6qHwIKBllDAZWyKwkBCUs4AYO2A8WIkkil%2FA4Ftvx7WGKg84wDYPykmZdT4IIDfQAB%2F5gAAATRBbYACwAVQAkIAgQJBgMBBBIAPzM%2FMxI5OTEwISMDASMJATMTATMBA7y01f4fugJU%2FvmsywG7uv3VAoH9fwMIAq79zQIz%2FUoAAAEAvAAABMMFtgAIABC2AAUBBwMFEgA%2FPzMSOTEwCQEzAQMjEwMzAhkB6cH9jXGsd%2B6qAssC6%2Fxn%2FeMCJQORAAAB%2F%2FAAAASTBbYACQAgQBAHBAIIBQRJWQUDAQhJWQESAD8rABg%2FKxEAMxEzMTApATcBITchBwEhA3X8exwDnP1xIANaGvxkArmJBJKbi%2FtvAAH%2F8P68AvAFtgAHAA61BQIDBgEnAD8zPzMxMAEhASEHIwEzAXP%2BfQF9AYMf4%2F7C4%2F68BvqN%2BiEAAQDdAAACUAW2AAMACrMDAwISAD8%2FMTABEyMDAXfZmtkFtvpKBbYAAAH%2Fav68AmoFtgAHAA61AwQDAAcnAD8zPzMxMAczASM3IQEhd%2BEBQOMeAYX%2BhP58tgXfjfkGAAAAAQA1AikEAgXBAAYADrQFAQAEAgAvLzMRMzEwEwEzASMDATUCVm0BCpHJ%2Fi0CKQOY%2FGgC6%2F0VAAAB%2F0T%2BvAKN%2F0gAAwAIsQECAC8zMTABITchAm%2F81R4DK%2F68jAABAj8E2QOHBiEACAAIsQYBAC%2FNMTABIy4BJzUzFhcDh2g9hxy1K2gE2T26PBWIpwACAGL%2F7ARgBFwAEgAgACdAFAoEDAAFDwgVABpGWQAQDBNGWQwWAD8rABg%2FKwAYPz8REjk5MTABMhYXMzczAyM3IwYjIiY1NBI2AzI2EjU0JiMiBgIVFBYCf1yQKAtDf%2BmFGgizxouejvopYcB4cFtos2ZeBFxjXaz7uNHlxqzQAWTK%2FBu5ASmVZ3qs%2FtqjcnEAAAAAAgA7%2F%2BwEOQYUABUAIgAnQBQLBAAPBwAGFQ8WRlkPEAAdRlkAFgA%2FKwAYPysAGD8%2FERI5OTEwBSImJyMHIwEzBgIHMz4BMzIWFRQCBhMiBgIVFBYzMjYSNTQCIWGTJQpGfQFKqDM3MAldtWCNnon1IGDHdW9pY6toFGZYqgYU8v7%2FrHZvxq3R%2Fp3HA%2BO%2B%2FuCXbnWiASuo4wABAGL%2F7AOqBFwAGAAXQAwHDEZZBxAAE0ZZABYAPysAGD8rMTAFIiY1NBIkMzIXByYjIgYCFRQWMzI2NxUGAfrC1pQBBaOJgy94Y3C5aYV1SIA%2BfBTWw8gBUr0zjTOZ%2Fu%2BggI4oG48%2FAAIAYv%2FsBMMGFAAUACEAJ0AUAwsOAAYACRUAHEZZABAOFUZZDhYAPysAGD8rABg%2FPxESOTkxMAEyFzM2NxMzASM3Iw4BIyImNTQSNgMyNhI1NCYjIgYCFRQCf8JXChEcTqb%2BtosWCGWwXouckPUmXsh1bGdlrWkEWr6bdwFm%2BezRfWjErtYBZML8HbsBI5dvdKX%2B1aXjAAAAAgBi%2F%2BwDtARcABgAIgAmQBQcDkZZHBwABwcZRlkHEAASRlkAFgA%2FKwAYPysREgA5GC8rMTAFIiY1NBI2MzIWFRQEISMHFBYzMjY3FQ4BEyIGBzMyNjU0JgHsuNKV9pSZmv60%2FsshBHuBP4VjXpA0Z7UwDOTzSRTawbwBWcCFd7TNUIOTJDCSLCMD4bynd3E1RgAAAAH%2FG%2F4UA4MGHwAgACpAFgwaCR0QFkZZEAAaHUdZGg8ABUZZABsAPysAGD8rABg%2FKxEAMxEzMTADIic1FjMyNjcTIz8CPgEzMhYXByYjIgYPATMHIwMOAWhFOEAwTFIZ48ENzhcuo6AodCArTD1XXR0Z7hnt6Cei%2FhQVjRZ8cwQ6Q0JkyKUXDoEdYYFsf%2Fu2va4AAAAD%2F4H%2BFARMBFwAKAA1AEMASEAoGzMzDkZZBzlHWQQgCQMHJjMHMwcVKCZAR1kmECgCR1koDxUsR1kVGwA%2FKwAYPysAGD8rERIAOTkYLy8REhc5KysRADMxMAEPARYVFAYjIicGFRQWHwEeARUUBCEiJjU0NjcmNTQ2Ny4BNTQ2MzIXARQWMzI2NTQmLwEOAQEUFjMyPgE1NCYjIg4BBEwZ0ynpwzcdi0I%2FdbWj%2Ftz%2B98LckKFOZls%2FUO%2B6Tkz9SoKAts1sgp94gAEWWlBPdj9YUk51QQRIaxg%2BYL%2FjCDVOKRsIDhaEgLjKk4ZpmjYpUEVjKyB9U8L4FPr1TVp%2FdD5IDhAZfgMSVVlUk1ZSVlGRAAEAOwAABCkGFAAdAB1ADhILFgwAAAsVFgVGWRYQAD8rABg%2FMz8REjkxMCETNjU0IyIOAQcDIwEzDgMHMz4BMzIWFRQHBgMC2ZQSk1mpgSFlqAFKqBIhIykbC163ZIOPFydqArReKZR24Z%2F%2BJwYUUpqfrmZ7apCEPmjB%2FiEAAAAAAgA7AAACHwXfAAMADgAOtQwHAg8BFQA%2FP8QyMTAzIxMzAzQ2MzIVFAYjIibjqOqoeUAzWEMsKDQESAEYOEdaN0wxAAAC%2Fv7%2BFAIdBd8ADAAXABZAChUQCA8ABUZZABsAPysAGD%2FEMjEwAyInNRYzMjcBMwEOAQE0NjMyFRQGIyImh0U2PTp9KwEIpv72JJ0BVEAzVkMsJjT%2BFBWNFs0E2%2FsWq58HTDhHWjdMMQAAAAABADkAAAQhBhQADgAYQAsGDgkBCgABDwUJFQA%2FMz8%2FERI5OTEwCQEzCQEjAwcDIwEzCgEHAUoCDsn%2BKwEnu%2BuYUqoBSqpIci0CLwIZ%2Fi39iwIMe%2F5vBhT%2BsP3sgQAAAAABADkAAAItBhQAAwAKswIAARUAPz8xMDMjATPhqAFMqAYUAAABADsAAAaHBFwALAAnQBMWDwwTDQ8AIQwVJwYTBkZZGhMQAD8zKxEAMxg%2FMzM%2FERI5OTEwIRM2NTQmIyIOAQcDIxMzBzM%2BATMyFhczPgEzMhYVFAcDIxM2NTQmIyIOAQcDAriUEj5LVJ95IWWo6osWCletXHF6CwhWwmN%2FixaQqpQURUpRnncfawK0XilGTnjfnf4lBEjLd2iCdH15iIJEbv1gArRoKj5LdNWS%2FgwAAAEAOwAABCkEXAAZAB1ADg8MEw0PAAwVEwZGWRMQAD8rABg%2FMz8REjkxMCETNjU0JiMiDgEHAyMTMwczPgEzMhYVFAcDAtmUFEdOWamBIWWo6osWCmCzYH%2BTF48CtGgoP0x43p7%2BJQRIy3pli31PZf1gAAAAAgBi%2F%2FAEHQRWAA0AGwAXQAwAEUZZABAHGEZZBxYAPysAGD8rMTABMhYVFAIGIyImNTQSNgE0JiMiBgIVFBYzMjYSAoO%2B3JD2m8DakvgBg31rba1ff3dopl0EVuHFvP6ytuLEvgFPs%2F5xc4%2BU%2Fvmhg4%2BSAQ0AAAAAAv%2FV%2FhQEOQRaABUAIgAnQBQEDAAPCg8JGw8WRlkPEAAdRlkAFgA%2FKwAYPysAGD8%2FERI5OTEwBSImJyMHDgEDIwEzBzM2MzIWFRQCBhMiBgIVFBYzMjYSNTQCIWGSKAoEAw9rpgFQixoIs8GJnor0IGDHdW9pY6toFGRaJhla%2FgMGNNHjw7DU%2Fp7FA%2BO%2B%2FuCXbnWiASuo4wACAGL%2BFARgBFwAFQAiACdAFAQLAA8FDwgbAB1GWQAQDxZGWQ8WAD8rABg%2FKwAYPz8REjk5MTABMhYXMzczASMTNjcjDgEjIiY1NBI2AzI2EjU0JiMiBgIVFAKBXo8lDUN9%2FrCmZQkwCF%2B0YIyfkfcpXMR5bWJlsGgEXGVbrPnMAeAtsHlsw6%2FUAWjC%2FBu4ASKbaXqp%2Ftej4wAAAAABADsAAANoBFwAEgAbQA0OCwAMDwsVAAVGWQAQAD8rABg%2FPxESOTEwATIXByYjIg4BBwMjEzMHMz4CAvBFMyQ1NFufdxxrqOqLFgpIXmcEXA6WDXjVgv4KBEjLX1MtAAABAAj%2F7ANEBFwAJAAgQBAMHgMVFRtGWRUQAwlGWQMWAD8rABg%2FKxESADk5MTABFAYjIic1HgEzMjY1NCYnLgE1NDYzMhcHJyYjIgYVFBYXHgIC393JqYhGokV%2BgEZ0gmzKpaufNjhld11qR29rXS4BN5yvRZ4qLmROOU5ESYxgiqlKiRkrV0U4UD88VmMAAAABAFr%2F7ALbBUQAGgAnQBMQEkAMFQ8SEhVHWRIPBgBGWQYWAD8rABg%2FKxEAMxEzGhgQzTEwJTI3FQ4BIyImNTQ3EyM%2FAjMHIQchAwYVFBYBizdZImQefYUSf6wOuX1iNwESGv7vgRI6dRqBDhR3dkJUAlpJTuT8f%2F2kVy04PAAAAAEAcf%2FsBF4ESAAYABtADQ8SChgPDRUSBUZZEhYAPysAGD8%2FMxI5MTABAwYVFDMyPgE3EzMDIzcjDgEjIiY1NDcTAcOWEpNYqoIiZKbnixYMYrJfgJIWkgRI%2FUlZMo944J4B2%2Fu4y31ii4E%2BbgKkAAABAGIAAAQSBEgACwAOtQkBDwUAFQA%2FMj8zMTAzAzMTEhUzEjcBMwHffahAGAZ%2FNAFFsv2xBEj9m%2F7%2BaAETYAJc%2B7gAAAEAdQAABgYESAAfABlADAUPGQMJHRMKDwAJFQA%2FMz8zMxIXOTEwIQMmPQEjDwEBIwMzExUUBzM2NwEzExYdAQczNhIBMwEDPyAECTJT%2Ft3KK6QSCAYvWgEntiUGAgYcbgEMsv4GAlpeTpx2vf2RBEj9rliTenzGAnX9rqheNSpWAQkCWPu4AAAB%2F7YAAAQGBEgACwAVQAkGAAIHBA8LAhUAPzM%2FMxI5OTEwCQEjAQMzEwEzARMjAdP%2BpsMB2%2B%2BqrgFKwv45%2FKgBsv5OAjUCE%2F5kAZz95f3TAAH%2FO%2F4UBBIESAAYABhACwUPCgAPDxRGWQ8bAD8rABg%2FMxI5MTATMxMWEhUzPgE3ATMBDgEjIic1FjMyNj8BYqhKChMGI2gZAUWy%2FUhdtoBIRD9EUnU3TARI%2Fd9F%2FvNSV%2BIrAmH6%2FqyGFYcSZWOIAAAB%2F%2BMAAAN9BEgACQAgQBAHBAIIBQRHWQUPAQhHWQEVAD8rABg%2FKxEAMxEzMTApATcBITchBwEhArL9MRcCtv4hGwKRHf1YAhN1A1Z9jPzBAAEAG%2F68Ay8FtgAnABlACxsKCgsLJhQSAwAnAD8%2FMzI5LzMSOTEwASImNTQ3PgEnNCM3MjY3Ez4BOwEHIgYHAw4BBxUWFRQPAQYVFBYzFQG6jZcUISUE0SB2jxZEIqerIR9pXBRHHH5olxIvD0lT%2FrxpdzRZkqMVj49XaAFGoICNSVf%2Bv3t6EQUprDtI0zooNTGOAAABAh3%2BEAKoBhQAAwAKswAAAxsAPz8xMAEzESMCHYuLBhT3%2FAAB%2F7b%2BvALBBbYAJwAbQAwcCwsKChQTJgADEycAPz8yETM5LzMSOTEwATIWFRQPAQYVFDMHIgYHAw4BKwE1MjY3Ez4BNzUmNTQ%2FATY1NCYjNwEdkJkVMRDRIXeOFkMkprUNc2gTSBl%2Ba5YSMg5RYxwFtml2MF3bRCuPkFZo%2FrqkfY5IVwFCdX0SBiqpO0jVQSI1MY0AAQBzAlAEMwNUABcAErYPAAaADAMSAC8zMxrNMjIxMAEiBgc1NjMyFhceATMyNjcVBiMiJicuAQFcNoEyYpFFdFZAYTI3gTNkkEh%2BSEtaAslFNJdtHSUbHEI3lm4hICAYAAAAAAL%2F8v6LAfIEXgADAA8AGEALAAAHAyIHDU9ZBxAAPysAGD8SOS8xMAEzAyMBNDYzMhYVFAYjIiYBBG2wzwEIUUYsNVFBMDYCrPvfBStMXDQ2R10zAAEA4f%2FsBCkFywAeAChAFQIeDAkJEU1ZHhhLWR4JHgkBCgcBGQA%2FPxI5OS8vKysRADMRMzEwBSM3LgE1NBI2PwEzBxYXByYjIgYCFRQWMzI2NxUGBwJGfSuEj3%2FmkSN7JXdiL21ucLlphHZIgD57oxTXIs%2BauQE%2BxxWqqAkojjSZ%2Fu%2BgfZIoHI8%2BBAAAAf%2FpAAAEmgXJABsAMUAZCxcYF05ZCBgYEgAABUtZAAcTDxIPTFkSGAA%2FKxEAMxg%2FKxESADkYLzMrEQAzMTABMhcHJiMiBwMhByEHDgEHIQchNzY%2FASM3MxMSA0q4mEKShNUyRQFyGv6NLxZYUALVIfxHG801L8gayUxLBclWhU%2Ft%2Frp%2F22KJK5qNLvPdfwFeAWEAAAIAqAEhBBAEhwAbACcAJEATBQIaFxMQDAkIBxIYFQoEHxUlBwAvM8QyzjIQzjISFzkxMBM0Nyc3FzYzMhc3FwcWFRQHFwcnBiMiJwcnNyY3FBYzMjY1NCYjIgblRIFcf2dycmWBXIFGRn9agWJ1d2J%2FWn9EgY9naJKSaGaQAtN1YoFcgUZGgVqBaHF3Yn9af0RGf1p%2FYHdnj49naJKRAAABAH8AAATsBbYAFgA9QCEKDg8OTVkHDwYSExJNWQMAExUPEx8TAg8TDxMMARUGDBgAPz8zEjk5Ly9dERI5MisRADMRMysRADMxMAkBMwEzByEHIQchAyMTITchNyE3MwMzAkYB67v96%2Bcc%2FtchASkd%2Ftk5mjj%2B3R0BIiH%2B3R3hyqMCywLr%2FP6FoIX%2B9gEKhaCFAwIAAgId%2FhACqAYUAAMABwAXQAoDAwcEBAcAAAcbAD8%2FETkvETkvMTABMxEjETMRIwIdi4uLiwYU%2FPj%2BDfz3AAAAAAIAO%2F%2F4A%2BUGHQAsADgALUAZGTMCLQ8tNjAzJwYeBx4kR1keFQcMR1kHAAA%2FKwAYPysREgAXOREzETMxMBM0NyY1NDYzMhcHJiMiBhUUFhceAhUUBgcWFRQGIyInNR4BMzI2NTQmJy4BAQ4BFRQWFz4BNTQmru53z7C9hDWUdmZ5THxkYjR6b3LkzLB3OKFMhY5lZopwAVRSamWUUF9jAwLJakaFf55EezxRRTFFOCxPZEBhpjhHdpirPZQiLFlVMFIuPYsBURp7RkZeQCx%2BRDxbAAAAAgHJBQ4D6QXTAAoAFQAMsw4DEwgALzPNMjEwATQ2MzIVFAYjIiYlNDYzMhUUBiMiJgHJOC5OOycjLwFsOC9NOycjLwViLkNQMUQsKC5DUDFELAAAAwCL%2F%2BwGagXLABYAJgA2AC1AGQYMABIPDB8MAgASEBICDBIMEhsrIxMzGwQAPzM%2FMxI5OS8vXV0RMxEzMTABIgYVFBYzMjcVDgEjIiY1NDYzMhcHJgE0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCA6B9hYKAUoFCXjnA0ty%2BgnY8avyXyAFeysUBWtDJ%2FqfNz%2F6iw2muAS2srgEqr67%2B17Cu%2FtavBCOumqmhK3ocFO%2Fc0PU8eDX%2BuMgBXsrC%2FqLQzP6nys8BWsat%2FtOtrgEpsK4BKq%2Bu%2FtcAAAACAKoDFAMMBccAEgAeABtADAkDAAcTDAAEHhoAHwA%2FMj8Q1DLEEjk5MTABMhczNzMDIzcjDgEjIiY1ND4BAzI%2BATU0JiMiBhUUAfJyJwYlVotcDgQoZElNY1OWFj1nRTk5XH0Fx2da%2FWd1OEp4an%2FXe%2F20YrFPPkXOjIsAAgBYAHEDqAO%2BAAYADQAhQA4NBwoGAAMKAwUIAQwFAQAvLzMRMxI5OREzMxEzMzEwEwEXARMHAwUBFwETBwNYAYdO%2FtescecBiwFvVv7lnnHXAkgBdlH%2BuP59MQG6DgGVRf6T%2FqIxAY0AAAAAAQB%2FAQgEFwMZAAUACrICBAUALzMvMTABESMRITUEF4z89AMZ%2Fe8Bg44AAP%2F%2FADcB1QI5AnMSBgAQAAAABACL%2F%2BwGagXLAA8AHwAtADUALUAVJSkpBDUqKgwEIycnLi4MHAQEFAwTAD8zPzMSOS8zEjkREjkvMxE5LzMxMBM0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCJRQGBxMjAyMRIxEzMhYBMzI1NCYrAYvIAV7KxQFa0Mn%2Bp83P%2FqLDaa4BLayuASqvrv7XsK7%2B1q8Dtl9V45XPcX%2Flo53%2BWlzDX2ZaAtvIAV7Kwv6i0Mz%2Bp8rPAVrGrf7Tra4BKbCuASqvrv7XCE5%2BI%2F5%2FAWD%2BoANwfv7llUw%2BAAABAOMGFAQXBpgAAwAIsQECAC8zMTABITchA%2FT87yEDEwYUhAACANcDXgNGBcsADAAYAAyzEAoWAwAvMy8zMTATNDYzMh4BFRQGIyImNxQWMzI2NTQmIyIG17WCU5FUtYODtHF0UlNyc1JQdgSTgLhTkVSAtbWAUHR1T1J1dQAAAAIAfwAABBcEmAALAA8AIUAOCQEBBgILAgsCDQUNDAUALy8zERI5OS8vETMzETMxMAEhNSERMxEhFSERIwE1IRUCBP57AYWNAYb%2Beo3%2BewOYAoONAYj%2BeI3%2Bff8AjY0AAAEAYAJKAvYFyQAXABK3Cg8fAhYWASAAPzMRMz8zMTABITclPgI1NCYjIgcnNjMyFhUUBg8BIQKR%2Fc8XAQhzVyg%2BO1ppO32VbX1pkd0BiwJKauRkY1cvNUBQWmVxXmOhfbsAAAABAHcCOQL0BckAIgAbQAwiEBAREQYYHR8LBiEAPzM%2FMxI5LzMSOTEwAR4BFRQGIyInNRYzMjU0KwE3MzI2NTQmIyIHJzYzMhYVFAcCJUVOtqJ9bH1yzbJaFl9hdEU7Zl43bZ9ygM8EDBFmRYSTOH9IqolrUkc8PURdWHBftDYAAAECFATZA7oGIQAJAAixBAkAL80xMAE%2BATczFQ4BByMCFDiLJb4mzEtpBPQ8tzoVMcw2AAAB%2F9X%2BFARqBEgAGgAgQBASDA8HFw8KFRYbDwJGWQ8WAD8rABg%2FPz8zEjk5MTABFDMyPgE3EzMDIzcjDgEjIicjDgEDIwEzAwYBJ5NZpoMiaaPpixgMXbRicDMJCxdIpAFQqJQSAQqTduCdAd77uM15aGBOjP6iBjT9SVwAAQDH%2FvwEtgYUAA8AGkALBggIDgUBDgNJWQ4ALysAGC8zEjkvOTEwASMRIxEjEQYjIiY1EDYzIQS2ctVzPlTYy9roAi3%2B%2FAZ9%2BYMDMxL6%2BwEE%2FgD%2F%2FwCqAksBogNaEAcAEQB%2FAmgAAAAB%2F1b%2BFADTAAAAEQAMswgDEA8ALzPMMjEwExQGIyInNRYzMjU0Jic3MwcW06KFKS0mHq5OPGVqPYP%2B7GJ2CWQGbi4rCLZ5JgABAQICSgKPBbYACgAOtQkGAyAAHgA%2FPzk5MTABMwMjEzY3DgEHJwIZdrqHcBkhGTJ4MwW2%2FJQCDmd6GStPWgAAAgCoAxQC6QXHAAwAFwANtBMDDQofAD8zxDIxMAEUBiMiJjU0PgEzMhYnIgYVFBYzMjY1NALpsZhxh1SXY3V%2B9WZ1TEVedQTDv%2FCOfXXFboYfr45VVbGQpgAAAAACABcAcwNoA8EABgANAB9ADQAGAwcNCgoDBQgBDAUALzMvMxI5OREzMxEzMzEwCQEnAQM3EyUBJwEDNxMDaP53TgEprHHp%2FnX%2BkFYBGp5x2QHl%2Fo5SAUMBhzL%2BQQ7%2Bb0YBaAFiMv5u%2F%2F8AewAABVIFthAnANMCYgAAECYAe8oAEQcA1AJm%2FbcACbMDAhIYAD81NQD%2F%2FwBCAAAFpAW2ECYAe5IAECcA0wIpAAARBwB0Aq79twAHsgIQGAA%2FNQAAAP%2F%2FAFcAAAXoBckQJgB14AAQJwDTAvgAABEHANQC%2FP23AAmzAwIqGAA%2FNTUAAAL%2F%2FP5xAvgEWAAZACUAI0ARBhkZECMjHU9ZIxAQCUlZECMAPysAGD8rERIAORgvOTEwAQ4BDwEGFRQWMzI2NxcOASMiJjU0Njc%2BATcTFAYjIiY1NDYzMhYCkRZkc1%2BfZ2BQlEI%2BWsZXqLaEn4RRFu5RRys1UEMvNgKogqRdS3%2BUXWYzH4EwNKeafNB3Ym1kAUpNWzQ0R18zAAAA%2F%2F%2F%2FiwAABBAHcxImACQAABEHAEP%2F2AFSAAq0AhAQBSYAKxE1%2F%2F%2F%2FiwAABE0HcxImACQAABEHAHYAkwFSAAq0AhgYBSYAKxE1%2F%2F%2F%2FiwAABDgHcxImACQAABEHAMUAQgFSAAq0AhUVBSYAKxE1%2F%2F%2F%2FiwAABI8HLxImACQAABEHAMcAYAFSAAq0AhgYBSYAKxE1%2F%2F%2F%2FiwAABCsHJRImACQAABEHAGoAQgFSAAy1AwIiIgUmACsRNTUAAP%2F%2F%2F4sAAAQQBwISJgAkAAARBwDGAAIAgQAZQA8DAu8YAd8YAW8YAQ8YARgAEV1dXV01NQAAAv%2BJAAAG3QW2AA8AEwA8QCAKDUlZCgoBBhMDSVkTEwEGBRIJEgYSSVkGAwEOSVkBEgA%2FKwAYPysRADMYPxESOS8rERIAORgvKzEwKQETIQEjASEHIQMhByEDIQETIwEFqP0fYv5K%2FtvFA6oDqiH9y2QCEBz973MCNv1%2Fk1T%2BTgHR%2Fi8Ftpn%2BK5b95gHVArD9UAAA%2F%2F8Alv4UBQoFyxImACYAABAHAHoCIwAA%2F%2F8AVgAABGoHcxImACgAABEHAEP%2F%2BwFSAAq0AQ0NBSYAKxE1%2F%2F8AVgAABGoHcxImACgAABEHAHYAfQFSAAq0ARUVBSYAKxE1%2F%2F8AVgAABGoHcxImACgAABEHAMUARgFSAAq0ARISBSYAKxE1%2F%2F8AVgAABGoHJRImACgAABEHAGoAQgFSAAy1AgEfHwUmACsRNTUAAP%2F%2FAFYAAAJRB3MSJgAsAAARBwBD%2FsoBUgAKtAEFBQUmACsRNf%2F%2FAFYAAANCB3MSJgAsAAARBwB2%2F4gBUgAKtAENDQUmACsRNf%2F%2FAFYAAAMoB3MSJgAsAAARBwDF%2FzIBUgAKtAEKCgUmACsRNf%2F%2FAFYAAAMpByUSJgAsAAARBwBq%2F0ABUgAMtQIBFxcFJgArETU1AAAAAgBIAAAFFAW2AA0AGwAtQBcaBwgHSVkXCAgFCgoWSlkKAwUbSlkFEgA%2FKwAYPysREgA5GC8zKxEAMzEwARACBCkBEyM3MxMhIAABMiQSNTQmKwEDIQchAwUU0v56%2Fvr%2BoIeVIJaNAVYBFAEf%2FK3KATKjzseybwFKIf62agNt%2Fvv%2BcNgCiZYCl%2F7V%2FAi3AU7X1939%2FJb%2BCv%2F%2FAFQAAAWoBy8SJgAxAAARBwDHAQgBUgAKtAEZGQUmACsRNf%2F%2FAJb%2F7AWDB3MSJgAyAAARBwBDAGgBUgAKtAIdHQUmACsRNf%2F%2FAJb%2F7AWDB3MSJgAyAAARBwB2ASEBUgAKtAIlJQUmACsRNf%2F%2FAJb%2F7AWDB3MSJgAyAAARBwDFANUBUgAKtAIiIgUmACsRNf%2F%2FAJb%2F7AWDBy8SJgAyAAARBwDHAOUBUgAKtAIlJQUmACsRNf%2F%2FAJb%2F7AWDByUSJgAyAAARBwBqAM8BUgAMtQMCLy8FJgArETU1AAAAAQCoATED8AR3AAsAFkAKAwYACQQCCggEAgAvMy8zEhc5MTAJATcJARcJAQcJAScB5%2F7BYgFAAUNj%2FrwBQmH%2Bvf7AYALTAUFj%2FsABQGD%2BvP6%2BYAFA%2FsJgAAMAd%2F%2BsBbYGBAAXACAAKQAjQBMfIx4kBCYYDxhJWQ8EBCZJWQQTAD8rABg%2FKxESABc5MTABEAIEIyInByc3JjUQEiQzMhYXNxcHHgEBIgYCFRQXASYTNCcBFjMyNhIFg7D%2BuNfIhIFwiWrAAU%2FSY59Ig3KVMDL95534iSkC4VrRIf0jW46Y8YwDi%2F7z%2FlfpYKBcqojrAQgBtOw2OaZcuD68AT%2FK%2Fpjah1wDl1j%2BWnZX%2FHFKwwFsAP%2F%2FAKT%2F7AV%2FB3MSJgA4AAARBwBDAFgBUgAKtAEXFwUmACsRNf%2F%2FAKT%2F7AV%2FB3MSJgA4AAARBwB2ASMBUgAKtAEfHwUmACsRNf%2F%2FAKT%2F7AV%2FB3MSJgA4AAARBwDFAMsBUgAKtAEcHAUmACsRNf%2F%2FAKT%2F7AV%2FByUSJgA4AAARBwBqALoBUgAMtQIBKSkFJgArETU1AAD%2F%2FwC8AAAEwwdzEiYAPAAAEQcAdgBUAVIACrQBEhIFJgArETUAAgBWAAAEUgW2AAwAFQAlQBMJFUpZCQkGBw0ESlkNDQYHAwYSAD8%2FEjkvKxESADkYLysxMAEUACEjAyMBMwMzMhYBMzI2NTQmKwEEUv64%2FsGFRqoBNao1oNXd%2FRCH1%2BKMkaYDPfj%2B%2Bv7BBbb%2FAL792bawfm4AAAAAAf8A%2FhQEWAYfAD8ALEAYNhUnAx4MDDlGWQwAHiRGWR4WAAVGWQAbAD8rABg%2FKwAYPysREgAXOTEwAyInNRYzMjY3AT4BMzIWFRQOAQcGFRQXHgIVFAYjIic1HgEzMjY1NC4BJy4BNTQ%2BATc%2BAjU0JiMiBgcBDgGFRTY9MkFUFwEYK%2BLCorQqUYpuXy9sM9m4r10zhz5xiBUuQlhFJT5dUD4iaVl3hhz%2B7iii%2FhQVjxZfbgUiyMaOfTljW2lTRDhCImtxQ6%2FHR6ApM3RlKD44N0VuPDVWR0U4P0MlQEl9gPrpva7%2F%2FwBi%2F%2BwEYAYhEiYARAAAEQYAQ7EAAAq0AiIiESYAKxE1AAD%2F%2FwBi%2F%2BwEYAYhEiYARAAAEQYAdkQAAAq0AioqESYAKxE1AAD%2F%2FwBi%2F%2BwEYAYhEiYARAAAEQYAxfcAAAq0AicnESYAKxE1AAD%2F%2FwBi%2F%2BwEYAXdEiYARAAAEQYAxxIAAAq0AioqESYAKxE1AAD%2F%2FwBi%2F%2BwEYAXTEiYARAAAEQYAav0AAAy1AwI0NBEmACsRNTX%2F%2FwBi%2F%2BwEYAaBEiYARAAAEQYAxtoAAAy1AwIkJBEmACsRNTUAAwBi%2F%2BwGWARcACoAOABCAEJAJBUYAwYEChE8IUZZPDwFFg8FFTkyETJGWRoRECUrCitGWQAKFgA%2FMysRADMYPzMrEQAzGD8%2FEjkvKxESABc5MTAFIiYnByM3Iw4BIyImNTQSNjMyFhczNzMHNjMyFhUUBCEjBxQWMzI2NxUGJTI2EjU0JiMiBgIVFBYBIgYHMzI2NTQmBI1soygfchoIbaVfeoqN8o5SficLQ20fe9F3k%2F6z%2Fs4nBH2DN3t1pPxrX7t3W01jsGRKA9V1vC8O4vVGFE9Qi9GEYcaqzgFmzGFfrJKmiHS2y1CDkyEzlkuLtwEqlmd6rf7epHJzA1a9pnVvPUIAAAD%2F%2FwBi%2FhQDqgRcEiYARgAAEAcAegF9AAD%2F%2FwBi%2F%2BwDtAYhEiYASAAAEQYAQ4IAAAq0AiQkESYAKxE1AAD%2F%2FwBi%2F%2BwD7wYhEiYASAAAEQYAdjUAAAq0AiwsESYAKxE1AAD%2F%2FwBi%2F%2BwDxgYhEiYASAAAEQYAxdAAAAq0AikpESYAKxE1AAD%2F%2FwBi%2F%2BwDvQXTEiYASAAAEQYAatQAAAy1AwI2NhEmACsRNTX%2F%2FwA7AAAB7AYhEiYAwgAAEQcAQ%2F5lAAAACrQBBQURJgArETX%2F%2FwA7AAAC6gYhEiYAwgAAEQcAdv8wAAAACrQBDQ0RJgArETX%2F%2FwA7AAACxAYhEiYAwgAAEQcAxf7OAAAACrQBCgoRJgArETX%2F%2FwA7AAACwQXTEiYAwgAAEQcAav7YAAAADLUCARcXESYAKxE1NQAAAAIAWv%2FsBHEGJQAgAC4ANEAcGQ8WHgAIBQQDHxYoRlkWFg8fDwYDAQ8hRlkPFgA%2FKwAYPzM%2FEjkvKxESABc5ERI5MTABJic3FhclFwceARUUAgQjIiY1NBI2MzIWFzc1NCYnBScTMj4BNTQmIyIOARUUFgKkQlBfdkYBBEDwV0%2BP%2Fvm0ts2H75RpmSMGSUr%2B8jgxa6Zmg3FtoFdzBT86N3VURpJphXP7kP3%2BfMTQuaABFJ5bTwIRiNBdlWz7vXDgcnaKc8%2BAfoL%2F%2FwA7AAAEUAXdEiYAUQAAEQYAxyEAAAq0ASMjESYAKxE1AAD%2F%2FwBi%2F%2FAEHQYhEiYAUgAAEQYAQ5cAAAq0Ah0dESYAKxE1AAD%2F%2FwBi%2F%2FAEHQYhEiYAUgAAEQYAdjkAAAq0AiUlESYAKxE1AAD%2F%2FwBi%2F%2FAEHQYhEiYAUgAAEQYAxe8AAAq0AiIiESYAKxE1AAD%2F%2FwBi%2F%2FAENQXdEiYAUgAAEQYAxwYAAAq0AiUlESYAKxE1AAD%2F%2FwBi%2F%2FAEHQXTEiYAUgAAEQYAaugAAAy1AwIvLxEmACsRNTUAAwB%2FAPwEFwSoAAMADgAZABC1AAEBEQwRAC8vEjkvMzEwEzUhFQE0MzIWFRQGIyImETQzMhYVFAYjIiZ%2FA5j9xG81Ozw0NDtvNTs8NDQ7AouOjv7qeT08Oj8%2BAvV5PTw6Pz4AAAMAPf%2B0BFAEkwAVAB4AJwAwQBsSDwcEBgkiHB0hERQIDwQPFkZZDxAEJEZZBBYAPysAGD8rERIAFzkYEMYQxjEwARQCBiMiJwcnNyY1NBI2MzIXNxcHFiUiBgIVFBcBJhM0JwEWMzI2EgQXi%2FSakmRiaW1Ek%2FSWkmpoaXc%2B%2FnBsr2QRAgY2jA39%2FjllZ6tfAsG9%2Fqq%2BQX1Sh2eiwgFOsESBT4FhaZL%2B%2FpdcLQKFL%2F7lVCP9fy2PAQIAAAD%2F%2FwBx%2F%2BwEXgYhEiYAWAAAEQYAQ5kAAAq0ARoaESYAKxE1AAD%2F%2FwBx%2F%2BwEXgYhEiYAWAAAEQYAdmgAAAq0ASIiESYAKxE1AAD%2F%2FwBx%2F%2BwEXgYhEiYAWAAAEQYAxQoAAAq0AR8fESYAKxE1AAD%2F%2FwBx%2F%2BwEXgXTEiYAWAAAEQYAagAAAAy1AgEsLBEmACsRNTX%2F%2F%2F87%2FhQEEgYhEiYAXAAAEQYAduAAAAq0ASIiESYAKxE1AAAAAv%2FV%2FhQEOQYUABcAJAAnQBQEDQARCQAIGxEYRlkREAAfRlkAFgA%2FKwAYPysAGD8%2FERI5OTEwBSImJyMGBwMjATMCBgczPgEzMhYVFAIGEyIGAhUUFjMyNhI1NAIhYpQnCggRZqYBsKhfKBMJZbBfi56K9CBgx3VvaWOraBRmWGhI%2FhoIAP5HokR9aMOw1P6exQPjvv7gl251ogErqOMA%2F%2F%2F%2FO%2F4UBBIF0xImAFwAABEGAGqGAAAMtQIBLCwRJgArETU1AAEAOwAAAc0ESAADAAqzAg8BFQA%2FPzEwMyMTM%2BOo6qgESAAAAAIAlv%2FsBykFzQAVACEAOUAgEBNJWRAQAQwMD0lZDAMKG0lZCgQDFklZAxIBEgEUSVkrABg%2FPysAGD8rABg%2FKxESADkYLysxMCkBBiMgABEQEiQzMhchByEDIQchAyEFMjcTJiMiBgIVFBYF9P1eTlD%2FAP7iwAFP0phVAsUf%2FctkAhAf%2FfBzAjX8pEU29kxznfiJxBQBKwEOAQgBtOwXmf4rlv3mFRMEiRbK%2Fpjax98AAwBi%2F%2BwGrARcACEALgA4ADtAHgIOBQwyGEZZMjIFDC8iDCJGWREMEBwpBSlGWQAFFgA%2FMysRADMYPzMrEQAzERI5GC8rERIAOTkxMAUgJw4BIyImNTQSNjMgFz4BMzIWFRQEISMHFBYzMjY3FQYBIgYCFRQWMzISETQmJSIGBzMyNjU0JgTj%2FvJWRc17uNiW%2FJsBDllLzXeLnP63%2FtApBHuBS4xQov0Cba5gfG6xyncCiX2%2FLBLn8EAU4Wty5MLBAU6x4W16g3m3ylCDkzEjlksD3ZL%2B%2FpuNkgFBAQt8hgS9pnp0MEUAAAEBjwTZA%2FYGIQAOAAyzAwsGAQAvM80yMTABIyYnBgcjNT4BNzMWHwED9mc5aIZsbZF3F54lWyoE2TCNd0YbhYEnY4hCAAAAAAICJwTZA90GgQALABcAFUALDx8JLwk%2FCQMJFQMALzPMXTIxMAEUBiMiJjU0NjMyFgc0JiMiBhUUFjMyNgPdeGNldnxfZXZoQDMxQjs4M0AFsGN0c2JedXJhNT4%2BNTY9PQAAAAABAVAE2QQvBd0AFQAStgUTC4AQAAkAL8QyGt3GMzEwASIuAiMiBgcjEjMyHgIzMjY3MwIDRihLR0MgLDMWZDqtLE9HPhssMxpkQgTbIysjOToBAiQrJDY%2F%2Fv4AAAEANwHVA5ECdQADAAixAAEALzMxMBM3IQc3IwM3IgHVoKAAAAEANwHVB2gCdQADAAixAAEALzMxMBM3IQc3IwcOIgHVoKAAAAEAewPBAggFtgAGAAmyAAMDAD%2FNMTATJzYTMwIHgQZirH%2BTOAPBFtMBDP6nnAAAAAEAfQPBAgwFtgAHAAmyBQcDAD%2FGMTABFw4BByMSNwIECCiOWIGGRQW2Flv%2FhQEqywAAAAAB%2F5z%2B%2BAErAO4ABgAIsQQAAC%2FNMTAlFwYHIxI3ASMIcZ2Bfk7uF%2Bv0AR7YAAIAewPBA3sFtgAGAA0ADbQABwMKAwA%2FM80yMTABJzYTMwIHISc2EzMCBwH0CFDAf6Ip%2FdEGYqx%2FkzgDwRa1ASr%2BhXoW0wEM%2FqecAAACAH0DwQN%2FBbYABwAPAA20DAUPBwMAPzPGMjEwARcOAQcjEjchFwYDIzYSNwIECCiOWIGGRQItCl60fzl1HAW2Flv%2FhQEqyxbO%2Fu9%2BASVSAAL%2FnP74ApwA7gAGAA0ADLMLDQQAAC%2FNMzIxMCUXBgcjEjchFwYDIxI3ASMIcZ2Bfk4CKwlfsIGMP%2B4X6%2FQBHtgXzf7uATy6AAEAxwHsApED6QALAAixCQMAL80xMBM0NjMyFhUUBiMiJseTfVxelIBZXQKskaxiXI2yYwABAFgAcQItA74ABgAStgYAAwMBBQEALy8SOREzMzEwEwEXARMHA1gBh07%2B16xx5wJCAXxR%2FrL%2BgzEBtAABABcAcwHsA8EABgAStgAGAwMFAQUALy8SOREzMzEwCQEnAQM3EwHs%2FnhNASiscegB8P6DUgFNAX0y%2FksAAAAAAf4ZAAAC8AW2AAMACrMDAwISAD8%2FMTAJASMBAvD7wpkEPQW2%2BkoFtgAAAAACAFwCSgLfBbwACgAQACFADw0HBhABBQUJEBADBx4DIAA%2FPxI5LzMzETMRMxEzMTABIwcjNyE3ATMDMyMSNwYPAQLJgSt%2FK%2F6TFwHhhXl%2F%2FkUVFFrNAxTKymUCQ%2F3NAUJJJHH2AAAAAAEAP%2F%2FsBNcFyQAmAEtAKQsXGBdOWQgYBhwdHE1ZAx0PHR8dAgkDGB0YHRIhIQBMWSEHEg1MWRIZAD8rABg%2FKxESADk5GC8vX15dETMrEQAzETMrEQAzMTABIgYHIQchBgchByEQITI3FQYjIgI9ASM3MzY3IzczEgAzMhYXByYDoIzkSwGqGv5HFQsBfR3%2BlwEpe4V%2Fl9TpqhuaCBaXG59hAUXPWY5GUHEFMcbHhUFjg%2F6LN5M7AQv1DINQVIUBCwEaKzGKTgAAAAABAAAjAAABBdMYAAAKCvIABQAk%2F3EABQA3ACkABQA5ACkABQA6ACkABQA8ABQABQBE%2F64ABQBG%2F4UABQBH%2F4UABQBI%2F4UABQBK%2F8MABQBQ%2F8MABQBR%2F8MABQBS%2F4UABQBT%2F8MABQBU%2F4UABQBV%2F8MABQBW%2F8MABQBY%2F8MABQCC%2F3EABQCD%2F3EABQCE%2F3EABQCF%2F3EABQCG%2F3EABQCH%2F3EABQCfABQABQCi%2F4UABQCj%2F64ABQCk%2F64ABQCl%2F64ABQCm%2F64ABQCn%2F64ABQCo%2F64ABQCp%2F4UABQCq%2F4UABQCr%2F4UABQCs%2F4UABQCt%2F4UABQC0%2F4UABQC1%2F4UABQC2%2F4UABQC3%2F4UABQC4%2F4UABQC6%2F4UABQC7%2F8MABQC8%2F8MABQC9%2F8MABQC%2B%2F8MABQDE%2F4UACgAk%2F3EACgA3ACkACgA5ACkACgA6ACkACgA8ABQACgBE%2F64ACgBG%2F4UACgBH%2F4UACgBI%2F4UACgBK%2F8MACgBQ%2F8MACgBR%2F8MACgBS%2F4UACgBT%2F8MACgBU%2F4UACgBV%2F8MACgBW%2F8MACgBY%2F8MACgCC%2F3EACgCD%2F3EACgCE%2F3EACgCF%2F3EACgCG%2F3EACgCH%2F3EACgCfABQACgCi%2F4UACgCj%2F64ACgCk%2F64ACgCl%2F64ACgCm%2F64ACgCn%2F64ACgCo%2F64ACgCp%2F4UACgCq%2F4UACgCr%2F4UACgCs%2F4UACgCt%2F4UACgC0%2F4UACgC1%2F4UACgC2%2F4UACgC3%2F4UACgC4%2F4UACgC6%2F4UACgC7%2F8MACgC8%2F8MACgC9%2F8MACgC%2B%2F8MACgDE%2F4UACwAtALgADwAm%2F5oADwAq%2F5oADwAy%2F5oADwA0%2F5oADwA3%2F3EADwA4%2F9cADwA5%2F4UADwA6%2F4UADwA8%2F4UADwCJ%2F5oADwCU%2F5oADwCV%2F5oADwCW%2F5oADwCX%2F5oADwCY%2F5oADwCa%2F5oADwCb%2F9cADwCc%2F9cADwCd%2F9cADwCe%2F9cADwCf%2F4UADwDD%2F5oAEAA3%2F64AEQAm%2F5oAEQAq%2F5oAEQAy%2F5oAEQA0%2F5oAEQA3%2F3EAEQA4%2F9cAEQA5%2F4UAEQA6%2F4UAEQA8%2F4UAEQCJ%2F5oAEQCU%2F5oAEQCV%2F5oAEQCW%2F5oAEQCX%2F5oAEQCY%2F5oAEQCa%2F5oAEQCb%2F9cAEQCc%2F9cAEQCd%2F9cAEQCe%2F9cAEQCf%2F4UAEQDD%2F5oAJAAF%2F3EAJAAK%2F3EAJAAm%2F9cAJAAq%2F9cAJAAtAQoAJAAy%2F9cAJAA0%2F9cAJAA3%2F3EAJAA5%2F64AJAA6%2F64AJAA8%2F4UAJACJ%2F9cAJACU%2F9cAJACV%2F9cAJACW%2F9cAJACX%2F9cAJACY%2F9cAJACa%2F9cAJACf%2F4UAJADD%2F9cAJADL%2F3EAJADO%2F3EAJQAP%2F64AJQAR%2F64AJQAk%2F9cAJQA3%2F8MAJQA5%2F%2BwAJQA6%2F%2BwAJQA7%2F9cAJQA8%2F%2BwAJQA9%2F%2BwAJQCC%2F9cAJQCD%2F9cAJQCE%2F9cAJQCF%2F9cAJQCG%2F9cAJQCH%2F9cAJQCf%2F%2BwAJQDM%2F64AJQDP%2F64AJgAm%2F9cAJgAq%2F9cAJgAy%2F9cAJgA0%2F9cAJgCJ%2F9cAJgCU%2F9cAJgCV%2F9cAJgCW%2F9cAJgCX%2F9cAJgCY%2F9cAJgCa%2F9cAJgDD%2F9cAJwAP%2F64AJwAR%2F64AJwAk%2F9cAJwA3%2F8MAJwA5%2F%2BwAJwA6%2F%2BwAJwA7%2F9cAJwA8%2F%2BwAJwA9%2F%2BwAJwCC%2F9cAJwCD%2F9cAJwCE%2F9cAJwCF%2F9cAJwCG%2F9cAJwCH%2F9cAJwCf%2F%2BwAJwDM%2F64AJwDP%2F64AKAAtAHsAKQAP%2F4UAKQAR%2F4UAKQAiACkAKQAk%2F9cAKQCC%2F9cAKQCD%2F9cAKQCE%2F9cAKQCF%2F9cAKQCG%2F9cAKQCH%2F9cAKQDM%2F4UAKQDP%2F4UALgAm%2F9cALgAq%2F9cALgAy%2F9cALgA0%2F9cALgCJ%2F9cALgCU%2F9cALgCV%2F9cALgCW%2F9cALgCX%2F9cALgCY%2F9cALgCa%2F9cALgDD%2F9cALwAF%2F1wALwAK%2F1wALwAm%2F9cALwAq%2F9cALwAy%2F9cALwA0%2F9cALwA3%2F9cALwA4%2F%2BwALwA5%2F9cALwA6%2F9cALwA8%2F8MALwCJ%2F9cALwCU%2F9cALwCV%2F9cALwCW%2F9cALwCX%2F9cALwCY%2F9cALwCa%2F9cALwCb%2F%2BwALwCc%2F%2BwALwCd%2F%2BwALwCe%2F%2BwALwCf%2F8MALwDD%2F9cALwDL%2F1wALwDO%2F1wAMgAP%2F64AMgAR%2F64AMgAk%2F9cAMgA3%2F8MAMgA5%2F%2BwAMgA6%2F%2BwAMgA7%2F9cAMgA8%2F%2BwAMgA9%2F%2BwAMgCC%2F9cAMgCD%2F9cAMgCE%2F9cAMgCF%2F9cAMgCG%2F9cAMgCH%2F9cAMgCf%2F%2BwAMgDM%2F64AMgDP%2F64AMwAP%2FvYAMwAR%2FvYAMwAk%2F5oAMwA7%2F9cAMwA9%2F%2BwAMwCC%2F5oAMwCD%2F5oAMwCE%2F5oAMwCF%2F5oAMwCG%2F5oAMwCH%2F5oAMwDM%2FvYAMwDP%2FvYANAAP%2F64ANAAR%2F64ANAAk%2F9cANAA3%2F8MANAA5%2F%2BwANAA6%2F%2BwANAA7%2F9cANAA8%2F%2BwANAA9%2F%2BwANACC%2F9cANACD%2F9cANACE%2F9cANACF%2F9cANACG%2F9cANACH%2F9cANACf%2F%2BwANADM%2F64ANADP%2F64ANwAP%2F4UANwAQ%2F64ANwAR%2F4UANwAiACkANwAk%2F3EANwAm%2F9cANwAq%2F9cANwAy%2F9cANwA0%2F9cANwA3ACkANwBE%2F1wANwBG%2F3EANwBH%2F3EANwBI%2F3EANwBK%2F3EANwBQ%2F5oANwBR%2F5oANwBS%2F3EANwBT%2F5oANwBU%2F3EANwBV%2F5oANwBW%2F4UANwBY%2F5oANwBZ%2F9cANwBa%2F9cANwBb%2F9cANwBc%2F9cANwBd%2F64ANwCC%2F3EANwCD%2F3EANwCE%2F3EANwCF%2F3EANwCG%2F3EANwCH%2F3EANwCJ%2F9cANwCU%2F9cANwCV%2F9cANwCW%2F9cANwCX%2F9cANwCY%2F9cANwCa%2F9cANwCi%2F3EANwCj%2F1wANwCk%2F1wANwCl%2F1wANwCm%2F1wANwCn%2F1wANwCo%2F1wANwCp%2F3EANwCq%2F3EANwCr%2F3EANwCs%2F3EANwCt%2F3EANwC0%2F3EANwC1%2F3EANwC2%2F3EANwC3%2F3EANwC4%2F3EANwC6%2F3EANwC7%2F5oANwC8%2F5oANwC9%2F5oANwC%2B%2F5oANwC%2F%2F9cANwDD%2F9cANwDE%2F3EANwDI%2F64ANwDJ%2F64ANwDM%2F4UANwDP%2F4UAOAAP%2F9cAOAAR%2F9cAOAAk%2F%2BwAOACC%2F%2BwAOACD%2F%2BwAOACE%2F%2BwAOACF%2F%2BwAOACG%2F%2BwAOACH%2F%2BwAOADM%2F9cAOADP%2F9cAOQAP%2F5oAOQAR%2F5oAOQAiACkAOQAk%2F64AOQAm%2F%2BwAOQAq%2F%2BwAOQAy%2F%2BwAOQA0%2F%2BwAOQBE%2F9cAOQBG%2F9cAOQBH%2F9cAOQBI%2F9cAOQBK%2F%2BwAOQBQ%2F%2BwAOQBR%2F%2BwAOQBS%2F9cAOQBT%2F%2BwAOQBU%2F9cAOQBV%2F%2BwAOQBW%2F%2BwAOQBY%2F%2BwAOQCC%2F64AOQCD%2F64AOQCE%2F64AOQCF%2F64AOQCG%2F64AOQCH%2F64AOQCJ%2F%2BwAOQCU%2F%2BwAOQCV%2F%2BwAOQCW%2F%2BwAOQCX%2F%2BwAOQCY%2F%2BwAOQCa%2F%2BwAOQCi%2F9cAOQCj%2F9cAOQCk%2F9cAOQCl%2F9cAOQCm%2F9cAOQCn%2F9cAOQCo%2F9cAOQCp%2F9cAOQCq%2F9cAOQCr%2F9cAOQCs%2F9cAOQCt%2F9cAOQC0%2F9cAOQC1%2F9cAOQC2%2F9cAOQC3%2F9cAOQC4%2F9cAOQC6%2F9cAOQC7%2F%2BwAOQC8%2F%2BwAOQC9%2F%2BwAOQC%2B%2F%2BwAOQDD%2F%2BwAOQDE%2F9cAOQDM%2F5oAOQDP%2F5oAOgAP%2F5oAOgAR%2F5oAOgAiACkAOgAk%2F64AOgAm%2F%2BwAOgAq%2F%2BwAOgAy%2F%2BwAOgA0%2F%2BwAOgBE%2F9cAOgBG%2F9cAOgBH%2F9cAOgBI%2F9cAOgBK%2F%2BwAOgBQ%2F%2BwAOgBR%2F%2BwAOgBS%2F9cAOgBT%2F%2BwAOgBU%2F9cAOgBV%2F%2BwAOgBW%2F%2BwAOgBY%2F%2BwAOgCC%2F64AOgCD%2F64AOgCE%2F64AOgCF%2F64AOgCG%2F64AOgCH%2F64AOgCJ%2F%2BwAOgCU%2F%2BwAOgCV%2F%2BwAOgCW%2F%2BwAOgCX%2F%2BwAOgCY%2F%2BwAOgCa%2F%2BwAOgCi%2F9cAOgCj%2F9cAOgCk%2F9cAOgCl%2F9cAOgCm%2F9cAOgCn%2F9cAOgCo%2F9cAOgCp%2F9cAOgCq%2F9cAOgCr%2F9cAOgCs%2F9cAOgCt%2F9cAOgC0%2F9cAOgC1%2F9cAOgC2%2F9cAOgC3%2F9cAOgC4%2F9cAOgC6%2F9cAOgC7%2F%2BwAOgC8%2F%2BwAOgC9%2F%2BwAOgC%2B%2F%2BwAOgDD%2F%2BwAOgDE%2F9cAOgDM%2F5oAOgDP%2F5oAOwAm%2F9cAOwAq%2F9cAOwAy%2F9cAOwA0%2F9cAOwCJ%2F9cAOwCU%2F9cAOwCV%2F9cAOwCW%2F9cAOwCX%2F9cAOwCY%2F9cAOwCa%2F9cAOwDD%2F9cAPAAP%2F4UAPAAR%2F4UAPAAiACkAPAAk%2F4UAPAAm%2F9cAPAAq%2F9cAPAAy%2F9cAPAA0%2F9cAPABE%2F5oAPABG%2F5oAPABH%2F5oAPABI%2F5oAPABK%2F9cAPABQ%2F8MAPABR%2F8MAPABS%2F5oAPABT%2F8MAPABU%2F5oAPABV%2F8MAPABW%2F64APABY%2F8MAPABd%2F9cAPACC%2F4UAPACD%2F4UAPACE%2F4UAPACF%2F4UAPACG%2F4UAPACH%2F4UAPACJ%2F9cAPACU%2F9cAPACV%2F9cAPACW%2F9cAPACX%2F9cAPACY%2F9cAPACa%2F9cAPACi%2F5oAPACj%2F5oAPACk%2F5oAPACl%2F5oAPACm%2F5oAPACn%2F5oAPACo%2F5oAPACp%2F5oAPACq%2F5oAPACr%2F5oAPACs%2F5oAPACt%2F5oAPAC0%2F5oAPAC1%2F5oAPAC2%2F5oAPAC3%2F5oAPAC4%2F5oAPAC6%2F5oAPAC7%2F8MAPAC8%2F8MAPAC9%2F8MAPAC%2B%2F8MAPADD%2F9cAPADE%2F5oAPADM%2F4UAPADP%2F4UAPQAm%2F%2BwAPQAq%2F%2BwAPQAy%2F%2BwAPQA0%2F%2BwAPQCJ%2F%2BwAPQCU%2F%2BwAPQCV%2F%2BwAPQCW%2F%2BwAPQCX%2F%2BwAPQCY%2F%2BwAPQCa%2F%2BwAPQDD%2F%2BwAPgAtALgARAAF%2F%2BwARAAK%2F%2BwARADL%2F%2BwARADO%2F%2BwARQAF%2F%2BwARQAK%2F%2BwARQBZ%2F9cARQBa%2F9cARQBb%2F9cARQBc%2F9cARQBd%2F%2BwARQC%2F%2F9cARQDL%2F%2BwARQDO%2F%2BwARgAFACkARgAKACkARgDLACkARgDOACkASAAF%2F%2BwASAAK%2F%2BwASABZ%2F9cASABa%2F9cASABb%2F9cASABc%2F9cASABd%2F%2BwASAC%2F%2F9cASADL%2F%2BwASADO%2F%2BwASQAFAHsASQAKAHsASQDLAHsASQDOAHsASwAF%2F%2BwASwAK%2F%2BwASwDL%2F%2BwASwDO%2F%2BwATgBG%2F9cATgBH%2F9cATgBI%2F9cATgBS%2F9cATgBU%2F9cATgCi%2F9cATgCp%2F9cATgCq%2F9cATgCr%2F9cATgCs%2F9cATgCt%2F9cATgC0%2F9cATgC1%2F9cATgC2%2F9cATgC3%2F9cATgC4%2F9cATgC6%2F9cATgDE%2F9cAUAAF%2F%2BwAUAAK%2F%2BwAUADL%2F%2BwAUADO%2F%2BwAUQAF%2F%2BwAUQAK%2F%2BwAUQDL%2F%2BwAUQDO%2F%2BwAUgAF%2F%2BwAUgAK%2F%2BwAUgBZ%2F9cAUgBa%2F9cAUgBb%2F9cAUgBc%2F9cAUgBd%2F%2BwAUgC%2F%2F9cAUgDL%2F%2BwAUgDO%2F%2BwAUwAF%2F%2BwAUwAK%2F%2BwAUwBZ%2F9cAUwBa%2F9cAUwBb%2F9cAUwBc%2F9cAUwBd%2F%2BwAUwC%2F%2F9cAUwDL%2F%2BwAUwDO%2F%2BwAVQAFAFIAVQAKAFIAVQBE%2F9cAVQBG%2F9cAVQBH%2F9cAVQBI%2F9cAVQBK%2F%2BwAVQBS%2F9cAVQBU%2F9cAVQCi%2F9cAVQCj%2F9cAVQCk%2F9cAVQCl%2F9cAVQCm%2F9cAVQCn%2F9cAVQCo%2F9cAVQCp%2F9cAVQCq%2F9cAVQCr%2F9cAVQCs%2F9cAVQCt%2F9cAVQC0%2F9cAVQC1%2F9cAVQC2%2F9cAVQC3%2F9cAVQC4%2F9cAVQC6%2F9cAVQDE%2F9cAVQDLAFIAVQDOAFIAVwAFACkAVwAKACkAVwDLACkAVwDOACkAWQAFAFIAWQAKAFIAWQAP%2F64AWQAR%2F64AWQAiACkAWQDLAFIAWQDM%2F64AWQDOAFIAWQDP%2F64AWgAFAFIAWgAKAFIAWgAP%2F64AWgAR%2F64AWgAiACkAWgDLAFIAWgDM%2F64AWgDOAFIAWgDP%2F64AWwBG%2F9cAWwBH%2F9cAWwBI%2F9cAWwBS%2F9cAWwBU%2F9cAWwCi%2F9cAWwCp%2F9cAWwCq%2F9cAWwCr%2F9cAWwCs%2F9cAWwCt%2F9cAWwC0%2F9cAWwC1%2F9cAWwC2%2F9cAWwC3%2F9cAWwC4%2F9cAWwC6%2F9cAWwDE%2F9cAXAAFAFIAXAAKAFIAXAAP%2F64AXAAR%2F64AXAAiACkAXADLAFIAXADM%2F64AXADOAFIAXADP%2F64AXgAtALgAggAF%2F3EAggAK%2F3EAggAm%2F9cAggAq%2F9cAggAtAQoAggAy%2F9cAggA0%2F9cAggA3%2F3EAggA5%2F64AggA6%2F64AggA8%2F4UAggCJ%2F9cAggCU%2F9cAggCV%2F9cAggCW%2F9cAggCX%2F9cAggCY%2F9cAggCa%2F9cAggCf%2F4UAggDD%2F9cAggDL%2F3EAggDO%2F3EAgwAF%2F3EAgwAK%2F3EAgwAm%2F9cAgwAq%2F9cAgwAtAQoAgwAy%2F9cAgwA0%2F9cAgwA3%2F3EAgwA5%2F64AgwA6%2F64AgwA8%2F4UAgwCJ%2F9cAgwCU%2F9cAgwCV%2F9cAgwCW%2F9cAgwCX%2F9cAgwCY%2F9cAgwCa%2F9cAgwCf%2F4UAgwDD%2F9cAgwDL%2F3EAgwDO%2F3EAhAAF%2F3EAhAAK%2F3EAhAAm%2F9cAhAAq%2F9cAhAAtAQoAhAAy%2F9cAhAA0%2F9cAhAA3%2F3EAhAA5%2F64AhAA6%2F64AhAA8%2F4UAhACJ%2F9cAhACU%2F9cAhACV%2F9cAhACW%2F9cAhACX%2F9cAhACY%2F9cAhACa%2F9cAhACf%2F4UAhADD%2F9cAhADL%2F3EAhADO%2F3EAhQAF%2F3EAhQAK%2F3EAhQAm%2F9cAhQAq%2F9cAhQAtAQoAhQAy%2F9cAhQA0%2F9cAhQA3%2F3EAhQA5%2F64AhQA6%2F64AhQA8%2F4UAhQCJ%2F9cAhQCU%2F9cAhQCV%2F9cAhQCW%2F9cAhQCX%2F9cAhQCY%2F9cAhQCa%2F9cAhQCf%2F4UAhQDD%2F9cAhQDL%2F3EAhQDO%2F3EAhgAF%2F3EAhgAK%2F3EAhgAm%2F9cAhgAq%2F9cAhgAtAQoAhgAy%2F9cAhgA0%2F9cAhgA3%2F3EAhgA5%2F64AhgA6%2F64AhgA8%2F4UAhgCJ%2F9cAhgCU%2F9cAhgCV%2F9cAhgCW%2F9cAhgCX%2F9cAhgCY%2F9cAhgCa%2F9cAhgCf%2F4UAhgDD%2F9cAhgDL%2F3EAhgDO%2F3EAhwAF%2F3EAhwAK%2F3EAhwAm%2F9cAhwAq%2F9cAhwAtAQoAhwAy%2F9cAhwA0%2F9cAhwA3%2F3EAhwA5%2F64AhwA6%2F64AhwA8%2F4UAhwCJ%2F9cAhwCU%2F9cAhwCV%2F9cAhwCW%2F9cAhwCX%2F9cAhwCY%2F9cAhwCa%2F9cAhwCf%2F4UAhwDD%2F9cAhwDL%2F3EAhwDO%2F3EAiAAtAHsAiQAm%2F9cAiQAq%2F9cAiQAy%2F9cAiQA0%2F9cAiQCJ%2F9cAiQCU%2F9cAiQCV%2F9cAiQCW%2F9cAiQCX%2F9cAiQCY%2F9cAiQCa%2F9cAiQDD%2F9cAigAtAHsAiwAtAHsAjAAtAHsAjQAtAHsAkgAP%2F64AkgAR%2F64AkgAk%2F9cAkgA3%2F8MAkgA5%2F%2BwAkgA6%2F%2BwAkgA7%2F9cAkgA8%2F%2BwAkgA9%2F%2BwAkgCC%2F9cAkgCD%2F9cAkgCE%2F9cAkgCF%2F9cAkgCG%2F9cAkgCH%2F9cAkgCf%2F%2BwAkgDM%2F64AkgDP%2F64AlAAP%2F64AlAAR%2F64AlAAk%2F9cAlAA3%2F8MAlAA5%2F%2BwAlAA6%2F%2BwAlAA7%2F9cAlAA8%2F%2BwAlAA9%2F%2BwAlACC%2F9cAlACD%2F9cAlACE%2F9cAlACF%2F9cAlACG%2F9cAlACH%2F9cAlACf%2F%2BwAlADM%2F64AlADP%2F64AlQAP%2F64AlQAR%2F64AlQAk%2F9cAlQA3%2F8MAlQA5%2F%2BwAlQA6%2F%2BwAlQA7%2F9cAlQA8%2F%2BwAlQA9%2F%2BwAlQCC%2F9cAlQCD%2F9cAlQCE%2F9cAlQCF%2F9cAlQCG%2F9cAlQCH%2F9cAlQCf%2F%2BwAlQDM%2F64AlQDP%2F64AlgAP%2F64AlgAR%2F64AlgAk%2F9cAlgA3%2F8MAlgA5%2F%2BwAlgA6%2F%2BwAlgA7%2F9cAlgA8%2F%2BwAlgA9%2F%2BwAlgCC%2F9cAlgCD%2F9cAlgCE%2F9cAlgCF%2F9cAlgCG%2F9cAlgCH%2F9cAlgCf%2F%2BwAlgDM%2F64AlgDP%2F64AlwAP%2F64AlwAR%2F64AlwAk%2F9cAlwA3%2F8MAlwA5%2F%2BwAlwA6%2F%2BwAlwA7%2F9cAlwA8%2F%2BwAlwA9%2F%2BwAlwCC%2F9cAlwCD%2F9cAlwCE%2F9cAlwCF%2F9cAlwCG%2F9cAlwCH%2F9cAlwCf%2F%2BwAlwDM%2F64AlwDP%2F64AmAAP%2F64AmAAR%2F64AmAAk%2F9cAmAA3%2F8MAmAA5%2F%2BwAmAA6%2F%2BwAmAA7%2F9cAmAA8%2F%2BwAmAA9%2F%2BwAmACC%2F9cAmACD%2F9cAmACE%2F9cAmACF%2F9cAmACG%2F9cAmACH%2F9cAmACf%2F%2BwAmADM%2F64AmADP%2F64AmgAP%2F64AmgAR%2F64AmgAk%2F9cAmgA3%2F8MAmgA5%2F%2BwAmgA6%2F%2BwAmgA7%2F9cAmgA8%2F%2BwAmgA9%2F%2BwAmgCC%2F9cAmgCD%2F9cAmgCE%2F9cAmgCF%2F9cAmgCG%2F9cAmgCH%2F9cAmgCf%2F%2BwAmgDM%2F64AmgDP%2F64AmwAP%2F9cAmwAR%2F9cAmwAk%2F%2BwAmwCC%2F%2BwAmwCD%2F%2BwAmwCE%2F%2BwAmwCF%2F%2BwAmwCG%2F%2BwAmwCH%2F%2BwAmwDM%2F9cAmwDP%2F9cAnAAP%2F9cAnAAR%2F9cAnAAk%2F%2BwAnACC%2F%2BwAnACD%2F%2BwAnACE%2F%2BwAnACF%2F%2BwAnACG%2F%2BwAnACH%2F%2BwAnADM%2F9cAnADP%2F9cAnQAP%2F9cAnQAR%2F9cAnQAk%2F%2BwAnQCC%2F%2BwAnQCD%2F%2BwAnQCE%2F%2BwAnQCF%2F%2BwAnQCG%2F%2BwAnQCH%2F%2BwAnQDM%2F9cAnQDP%2F9cAngAP%2F9cAngAR%2F9cAngAk%2F%2BwAngCC%2F%2BwAngCD%2F%2BwAngCE%2F%2BwAngCF%2F%2BwAngCG%2F%2BwAngCH%2F%2BwAngDM%2F9cAngDP%2F9cAnwAP%2F4UAnwAR%2F4UAnwAiACkAnwAk%2F4UAnwAm%2F9cAnwAq%2F9cAnwAy%2F9cAnwA0%2F9cAnwBE%2F5oAnwBG%2F5oAnwBH%2F5oAnwBI%2F5oAnwBK%2F9cAnwBQ%2F8MAnwBR%2F8MAnwBS%2F5oAnwBT%2F8MAnwBU%2F5oAnwBV%2F8MAnwBW%2F64AnwBY%2F8MAnwBd%2F9cAnwCC%2F4UAnwCD%2F4UAnwCE%2F4UAnwCF%2F4UAnwCG%2F4UAnwCH%2F4UAnwCJ%2F9cAnwCU%2F9cAnwCV%2F9cAnwCW%2F9cAnwCX%2F9cAnwCY%2F9cAnwCa%2F9cAnwCi%2F5oAnwCj%2F5oAnwCk%2F5oAnwCl%2F5oAnwCm%2F5oAnwCn%2F5oAnwCo%2F5oAnwCp%2F5oAnwCq%2F5oAnwCr%2F5oAnwCs%2F5oAnwCt%2F5oAnwC0%2F5oAnwC1%2F5oAnwC2%2F5oAnwC3%2F5oAnwC4%2F5oAnwC6%2F5oAnwC7%2F8MAnwC8%2F8MAnwC9%2F8MAnwC%2B%2F8MAnwDD%2F9cAnwDE%2F5oAnwDM%2F4UAnwDP%2F4UAoAAP%2FvYAoAAR%2FvYAoAAk%2F5oAoAA7%2F9cAoAA9%2F%2BwAoACC%2F5oAoACD%2F5oAoACE%2F5oAoACF%2F5oAoACG%2F5oAoACH%2F5oAoADM%2FvYAoADP%2FvYAogAF%2F%2BwAogAK%2F%2BwAogDL%2F%2BwAogDO%2F%2BwAowAF%2F%2BwAowAK%2F%2BwAowDL%2F%2BwAowDO%2F%2BwApAAF%2F%2BwApAAK%2F%2BwApADL%2F%2BwApADO%2F%2BwApQAF%2F%2BwApQAK%2F%2BwApQDL%2F%2BwApQDO%2F%2BwApgAF%2F%2BwApgAK%2F%2BwApgDL%2F%2BwApgDO%2F%2BwApwAF%2F%2BwApwAK%2F%2BwApwDL%2F%2BwApwDO%2F%2BwAqgAF%2F%2BwAqgAK%2F%2BwAqgBZ%2F9cAqgBa%2F9cAqgBb%2F9cAqgBc%2F9cAqgBd%2F%2BwAqgC%2F%2F9cAqgDL%2F%2BwAqgDO%2F%2BwAqwAF%2F%2BwAqwAK%2F%2BwAqwBZ%2F9cAqwBa%2F9cAqwBb%2F9cAqwBc%2F9cAqwBd%2F%2BwAqwC%2F%2F9cAqwDL%2F%2BwAqwDO%2F%2BwArAAF%2F%2BwArAAK%2F%2BwArABZ%2F9cArABa%2F9cArABb%2F9cArABc%2F9cArABd%2F%2BwArAC%2F%2F9cArADL%2F%2BwArADO%2F%2BwArQAF%2F%2BwArQAK%2F%2BwArQBZ%2F9cArQBa%2F9cArQBb%2F9cArQBc%2F9cArQBd%2F%2BwArQC%2F%2F9cArQDL%2F%2BwArQDO%2F%2BwAsgAF%2F%2BwAsgAK%2F%2BwAsgBZ%2F9cAsgBa%2F9cAsgBb%2F9cAsgBc%2F9cAsgBd%2F%2BwAsgC%2F%2F9cAsgDL%2F%2BwAsgDO%2F%2BwAtAAF%2F%2BwAtAAK%2F%2BwAtABZ%2F9cAtABa%2F9cAtABb%2F9cAtABc%2F9cAtABd%2F%2BwAtAC%2F%2F9cAtADL%2F%2BwAtADO%2F%2BwAtQAF%2F%2BwAtQAK%2F%2BwAtQBZ%2F9cAtQBa%2F9cAtQBb%2F9cAtQBc%2F9cAtQBd%2F%2BwAtQC%2F%2F9cAtQDL%2F%2BwAtQDO%2F%2BwAtgAF%2F%2BwAtgAK%2F%2BwAtgBZ%2F9cAtgBa%2F9cAtgBb%2F9cAtgBc%2F9cAtgBd%2F%2BwAtgC%2F%2F9cAtgDL%2F%2BwAtgDO%2F%2BwAuAAF%2F9cAuAAK%2F9cAuADL%2F9cAuADO%2F9cAugAF%2F%2BwAugAK%2F%2BwAugBZ%2F9cAugBa%2F9cAugBb%2F9cAugBc%2F9cAugBd%2F%2BwAugC%2F%2F9cAugDL%2F%2BwAugDO%2F%2BwAvwAFAFIAvwAKAFIAvwAP%2F64AvwAR%2F64AvwAiACkAvwDLAFIAvwDM%2F64AvwDOAFIAvwDP%2F64AwAAF%2F%2BwAwAAK%2F%2BwAwABZ%2F9cAwABa%2F9cAwABb%2F9cAwABc%2F9cAwABd%2F%2BwAwAC%2F%2F9cAwADL%2F%2BwAwADO%2F%2BwAwQAFAFIAwQAKAFIAwQAP%2F64AwQAR%2F64AwQAiACkAwQDLAFIAwQDM%2F64AwQDOAFIAwQDP%2F64AwwAtAHsAyAA3%2F64AyQA3%2F64AygAk%2F3EAygA3ACkAygA5ACkAygA6ACkAygA8ABQAygBE%2F64AygBG%2F4UAygBH%2F4UAygBI%2F4UAygBK%2F8MAygBQ%2F8MAygBR%2F8MAygBS%2F4UAygBT%2F8MAygBU%2F4UAygBV%2F8MAygBW%2F8MAygBY%2F8MAygCC%2F3EAygCD%2F3EAygCE%2F3EAygCF%2F3EAygCG%2F3EAygCH%2F3EAygCfABQAygCi%2F4UAygCj%2F64AygCk%2F64AygCl%2F64AygCm%2F64AygCn%2F64AygCo%2F64AygCp%2F4UAygCq%2F4UAygCr%2F4UAygCs%2F4UAygCt%2F4UAygC0%2F4UAygC1%2F4UAygC2%2F4UAygC3%2F4UAygC4%2F4UAygC6%2F4UAygC7%2F8MAygC8%2F8MAygC9%2F8MAygC%2B%2F8MAygDE%2F4UAywAk%2F3EAywA3ACkAywA5ACkAywA6ACkAywA8ABQAywBE%2F64AywBG%2F4UAywBH%2F4UAywBI%2F4UAywBK%2F8MAywBQ%2F8MAywBR%2F8MAywBS%2F4UAywBT%2F8MAywBU%2F4UAywBV%2F8MAywBW%2F8MAywBY%2F8MAywCC%2F3EAywCD%2F3EAywCE%2F3EAywCF%2F3EAywCG%2F3EAywCH%2F3EAywCfABQAywCi%2F4UAywCj%2F64AywCk%2F64AywCl%2F64AywCm%2F64AywCn%2F64AywCo%2F64AywCp%2F4UAywCq%2F4UAywCr%2F4UAywCs%2F4UAywCt%2F4UAywC0%2F4UAywC1%2F4UAywC2%2F4UAywC3%2F4UAywC4%2F4UAywC6%2F4UAywC7%2F8MAywC8%2F8MAywC9%2F8MAywC%2B%2F8MAywDE%2F4UAzAAm%2F5oAzAAq%2F5oAzAAy%2F5oAzAA0%2F5oAzAA3%2F3EAzAA4%2F9cAzAA5%2F4UAzAA6%2F4UAzAA8%2F4UAzACJ%2F5oAzACU%2F5oAzACV%2F5oAzACW%2F5oAzACX%2F5oAzACY%2F5oAzACa%2F5oAzACb%2F9cAzACc%2F9cAzACd%2F9cAzACe%2F9cAzACf%2F4UAzADD%2F5oAzQAk%2F3EAzQA3ACkAzQA5ACkAzQA6ACkAzQA8ABQAzQBE%2F64AzQBG%2F4UAzQBH%2F4UAzQBI%2F4UAzQBK%2F8MAzQBQ%2F8MAzQBR%2F8MAzQBS%2F4UAzQBT%2F8MAzQBU%2F4UAzQBV%2F8MAzQBW%2F8MAzQBY%2F8MAzQCC%2F3EAzQCD%2F3EAzQCE%2F3EAzQCF%2F3EAzQCG%2F3EAzQCH%2F3EAzQCfABQAzQCi%2F4UAzQCj%2F64AzQCk%2F64AzQCl%2F64AzQCm%2F64AzQCn%2F64AzQCo%2F64AzQCp%2F4UAzQCq%2F4UAzQCr%2F4UAzQCs%2F4UAzQCt%2F4UAzQC0%2F4UAzQC1%2F4UAzQC2%2F4UAzQC3%2F4UAzQC4%2F4UAzQC6%2F4UAzQC7%2F8MAzQC8%2F8MAzQC9%2F8MAzQC%2B%2F8MAzQDE%2F4UAzwAm%2F5oAzwAq%2F5oAzwAy%2F5oAzwA0%2F5oAzwA3%2F3EAzwA4%2F9cAzwA5%2F4UAzwA6%2F4UAzwA8%2F4UAzwCJ%2F5oAzwCU%2F5oAzwCV%2F5oAzwCW%2F5oAzwCX%2F5oAzwCY%2F5oAzwCa%2F5oAzwCb%2F9cAzwCc%2F9cAzwCd%2F9cAzwCe%2F9cAzwCf%2F4UAzwDD%2F5oAAAAaAT4AAQAAAAAAAAA5AHQAAQAAAAAAAQAJAMIAAQAAAAAAAgAGANoAAQAAAAAAAwAlAS0AAQAAAAAABAAQAXUAAQAAAAAABQAMAaAAAQAAAAAABgAPAc0AAQAAAAAABwBSAoMAAQAAAAAACAAUAwAAAQAAAAAACwAcA08AAQAAAAAADAAuA8oAAQAAAAAADQAuBFcAAQAAAAAADgAqBNwAAwABBAkAAAByAAAAAwABBAkAAQASAK4AAwABBAkAAgAMAMwAAwABBAkAAwBKAOEAAwABBAkABAAgAVMAAwABBAkABQAYAYYAAwABBAkABgAeAa0AAwABBAkABwCkAd0AAwABBAkACAAoAtYAAwABBAkACwA4AxUAAwABBAkADABcA2wAAwABBAkADQBcA%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2FKxESADkYPysxMCkBNwE%2BAjU0JiMiBgcnPgEzMhYVFA4BBwEVIQOP%2FF8kAdewfThjWkaKZXN43nW11k6oyP7JAm60AaafkHtGVWM8T6BhU7qebLrDq%2F74CAAAAAABAB%2F%2F7AQ%2FBcsAKAAtQBcDFxgYF09ZGBgLJiYfTVkmBwsRTVkLGQA%2FKwAYPysREgA5GC8rERIAOTEwARQGBxUeARUUBgQjIic1HgEzMjY1NCEjNzMyNjU0JiMiBgcnPgEzMhYEP8aqf4uI%2Fv%2Bw4aBUy16dsP7qhSVqpM9jWkiVWGh403m3zgSBntQfBxike4XPck%2FXMTWPfdu3lX1PWzM7oVFBsQAAAAAC%2F%2FwAAARCBboACgASAClAFwEFEgVNWQkPEh8SAlASARISAw8HBgMYAD8%2FMxI5L11dMysRADMxMAEjAyMTITcBMwMzIRM2NyMGBwEEF8lE5UX9kiUDI%2F7Jyf5RRB9FCDNU%2FloBPf7DAT3FA7j8SAE1iPFWZP4MAAABADX%2F7ARYBbYAGwAmQBQAEk9ZAAAHFhYZTlkWBgcMTVkHGQA%2FKwAYPysREgA5GC8rMTABMhYVFAYEIyInNRYzMjY1NCYjIgcnEyEHIQM2AmK114z%2B9L7WjaevrcJ8fl%2BCWMgCyS3%2BBmpdA4vPtqH0hU%2FZZKaTaX8jRALE0f6UEgAAAAACAG%2F%2F7ARtBcsAGQAoAC1AFw0XEBAgT1kQEBcFBQpNWQUHFxpNWRcZAD8rABg%2FKxESADkYLysREgA5MTATNBoBJDMyFwcmIyIAAzM2MzIWFRQCBiMiJgUyPgE1NCMiDgMXFBZvedEBJcR1VitIbc3%2B%2BEEGfcmcr4nqmcLRAaNRfESyM1lFMB4CYwG%2BzQGSARySGcIW%2Fv3%2B%2BarGraL%2B6o%2FwLmGsZsgmOkddQ26GAAAAAAEAfQAABJwFtgAGABhACwAYBQIDAwJOWQMGAD8rERIAORg%2FMTAzASE3IQcBfQLy%2FV4rA6Qh%2FQoE6c2o%2BvIAAAADAEz%2F7AReBc0AFwAjAC8AKUAUBhIYGCoqDQAAJE9ZAAcNHk9ZDRkAPysAGD8rERIAORgvMxI5OTEwATIWFRQGBx4BFRQOASMiJjUQJS4BNTQ2Ew4BFRQWMzI2NTQmEyIGFRQWFz4BNTQmAtuz0J6peGl75J3L5QFwW0%2F%2BQpWGdmNzi2EaXXJOQXN9YAXNspaEw0JOr3J5v2nIqAEph0aWV7Pb%2FNM2kWhdcIBnW4UCqXBcU2wnK3xfUVsAAAIAXP%2FsBDcFywAZACYALUAXDhAXECFPWRAQBRcXGk1ZFwcFCk1ZBRkAPysAGD8rERIAORgvKxESADkxMAEUCgEEIyInNRYzMjYTIwYjIiY1NBI2MzIWJSIOARUUFjMyNjU0JgQ3dL3%2B%2BbOFa3lzvOw7BnHApbWG75vAzf5hUn9EXFh1omAD%2Bs3%2BXf7phyDPK%2FYBCqDMupwBCo%2FvLF6mYGluvJJsgQAAAAIAIf%2FjAfoEagALABcAF0AMAwlRWQMQFQ9RWRUWAD8rABg%2FKzEwEzQ2MzIWFRQGIyImAzQ2MzIWFRQGIyImzV5UOENhTUI9rF5UOENfTUI%2FA7RTYz89T2ZH%2FN5TYz89TmdHAAAC%2F5z%2B%2BAH6BGoABgASABVACQRABgoQUVkKEAA%2FKwAYLxrOMTAlFwIHIzYbATQ2MzIWFRQGIyImAU4IfY2wX2drXlQ4Q2FNQj3uF%2F7829YBIALGU2M%2FPU9mRwAAAAEAcwDdBBsE7AAGAAixAAMAL8YxMCUBNQEVCQEEG%2FxYA6j9RwK53QGueQHow%2F6o%2FtEAAAACAHUBrgQdA%2FIAAwAHAB9AEQQFUlkEAQEAUlkPAQGQAQEBAC9dXSsAGBDGKzEwEzUhFQE1IRV1A6j8WAOoAz%2Bzs%2F5vtLQAAAABAHMA3QQbBOwABgAIsQYDAC%2FGMTATCQE1ARUBcwK2%2FUoDqPxYAaIBLwFYw%2F4Yef5SAAAAAgCi%2F%2BUDwwXLABkAJQAlQBIHEAAAIxAjHVFZIxYQCk1ZEAQAPysAGD8rERIAORgvEjkxMAE%2BATc%2BAjU0JiMiBgcnNjMyFhUUBgcOAQcBNDYzMhYVFAYjIiYBBBJre2tPJVVRTZJOTs%2FLq8R%2FqGhcD%2F7ZXlQ4Q2JMQj0BvIWvWk1QUTBGWDclsHGrnXjDd0p2Vf6iU2M%2FPU9kRQAAAgBk%2F0YGqgW0ADgARAAsQBQHCjkRESg1BAoaPz8KCi0hNQMoLQAvMz8zEjkvMxEzETMREjkvMxI5MTABFAIGIyImJyMGIyImNTQSNjMyHgEXAwYVFDMyPgE1NCQjIgQCFRAAMzI3FQYjIiQCNRASJCEyBBIFIg4BFRQzMjY%2FASYGqnfWhGJpDAZlsHuFh%2FGPNFVKXGUeT0h8R%2F7%2F69b%2Bqr8BGfvI5tvr0v7GqfUBuQERyAEkm%2F0zVpFScFJ3KUA1A06w%2FtumXEqmnYyXAQGVChAf%2FnhyLVyF2Hrk78f%2BlOD%2B%2Ff7kVptapwE40QEOAbb6lf7odmu1Z52QlPAQAAAAAAL%2FhwAABE4FuAAHAA4AGkANDgFMWQ4OBAcDEgsEAwA%2FMz8zEjkvKzEwASEDIwEhEyMDAiY1BgcDAzv%2BG9H%2BAw8BEqbqOSgLN1esAZb%2BagW4%2BkgCZgGgrzSLqP6wAAAAAAMARgAABMsFtgAPABcAIAAtQBcGIBAQIEtZEBAODw8XTFkPAw4YTFkOEgA%2FKwAYPysREgA5GC8rERIAOTEwATIWFRQGBxUeARUUBCkBARMzMjY1NCsBAzMyNjU0JisBAwre462ZbHf%2B1P71%2FhUBNW7Hi5jftePfk6d4dMgFtqikksIeCByXbNn4Bbb9pHlvrPvbiH5iZwAAAQCH%2F%2BwFIQXLABgAF0AMEwBMWRMEDAdMWQwTAD8rABg%2FKzEwASIGAhUUFjMyNxUGIyIAERASJDMyFwcuAQOcmvKRpaGNvLTC%2BP7n0wFg4tmsXj%2BOBP6y%2FqvMtL9EzUMBKQEMAQQBvuhcwyIwAAAAAAIARgAABR8FtgAJABMAF0AMBhJMWQYDBRNMWQUSAD8rABg%2FKzEwARACBCkBASEgAAEyJBI1NCYrAQMFH8j%2Bgv7%2B%2Fm8BNQFxAQ8BJPzEsQEIjbCokuMDff7x%2FmzaBbb%2B3vw1rAE4yLjB%2B9sAAAEARgAABIMFtgALACZAFAYJTFkGBgECAgVMWQIDAQpMWQESAD8rABg%2FKxESADkYLysxMCkBASEHIQMhByEDIQNO%2FPgBNQMIK%2F3lVAH2Kf4IYAIbBbbN%2FnXL%2FjgAAQBGAAAEgQW2AAkAHUAPBglMWQYGAgESAgVMWQIDAD8rABg%2FEjkvKzEwISMBIQchAyEHIQEz7QE1AwYr%2FedgAfYt%2FgwFts3%2BOssAAAEAh%2F%2FsBVwFywAdACZAFAAdTFkAAAUMDBJMWQwEBRlMWQUTAD8rABg%2FKxESADkYLysxMAEhAw4BIyAAERASJDMyFhcHJiMiBAIVFBYzMjcTIQMSAgCdcNWE%2Fvv%2B4M0Bd%2B9vzGdarqCe%2Fv6VsqRtalD%2B6wMZ%2FSAoJQEkAQsBCAG28ikxy1a1%2FrHNt7whAXMAAAEARgAABYsFtgALABpADQgDTFkICAUKBgMBBRIAPzM%2FMxI5LysxMCEjEyEDIwEzAyETMwRW7oz9yovtATXtfwI2f%2B0Ck%2F1tBbb9qgJWAAAAAQBGAAACaAW2AAMACrMBAwASAD8%2FMTAzATMBRgE36%2F7JBbb6SgAAAAH%2Bvv5oAnMFtgAMABG3CAMABUxZACMAPysAGD8xMAMiJzcWMzI3ATMBDgGYaEIFVEXJNQEr7v7PLuf%2BaBnJFfoFh%2Fpa2c8AAAEARgAABWYFtgAMABVACQgCBQoGAwEFEgA%2FMz8zEjk5MTApAQMHAyMBMwM3ASEBBD%2F%2B%2BvyVde0BNe2XjQHsARz9mAKPZP3VBbb9PqYCHP1jAAAAAAEARgAAA3kFtgAFABG3AQMAA0xZABIAPysAGD8xMDMBMwEhB0YBNe3%2B9gIbKwW2%2BxfNAAABAEQAAAblBbYAEwAbQAwRAgIJBgsHAwAOBhIAPzMzPzMSOTkRMzEwIQMjBgcDIwEhEzMBIQEjEzY3IwECh3MGCS642wE1AUNtBgJeAVj%2Bz%2BO2Jy8G%2FX0Evnbe%2FJYFtvuDBH36SgNoupz7QgABAEQAAAXdBbYAEQAVQAkDCwgQCQMBCBIAPzM%2FMxI5OTEwKQEBIwcOAQMjASEBMzYSNxMzBKj%2B%2FP5mBgoYF6zbATUBDAGPBwYyD6DbBItFlX%2F8zgW2%2B4M2ARVBAvEAAAACAIf%2F7AWNBc0ADQAbABdADAsOTFkLBAQVTFkEEwA%2FKwAYPysxMAEQAgQjIAAREBIkMzIAJSIGAhUUFjMyNhI1NCYFjb7%2Bs9z%2B%2Ff7kxQFW2fsBF%2F3biuB%2Fo5KK3XueA5r%2B6f5M4wErAQgBCwG56v7WXcD%2Bq8qtvL8BU86qvgAAAAIARgAABJYFtgAIABMAHUAPDQBMWQ0NEA8SEAhMWRADAD8rABg%2FEjkvKzEwATMyNjU0JisBBRQAISMDIwEhMhYB0V6yw3V5dwJX%2Fq3%2B0W5z7QE1AU7l6ALsn5JtZMn4%2Fvb93QW2yQAAAgCH%2FqQFjQXNABAAHgAjQBEFBw4RTFkOBAMYBwcYTFkHEwA%2FKxESADkYPysAGBDGMTABEAAHASEDIyAAERASJDMyACUiBgIVFBYzMjYSNTQmBY3%2B%2FOEBCP7fyh%2F%2B%2Ff7kxQFW2fsBF%2F3biuB%2Fo5KK3XueA5r%2Bvv4eW%2F6JAUgBKwEIAQsBuer%2B1l3A%2FqvKrby8AVPRqr4AAAACAEYAAASaBbYADQAWACZAEwoADg4AS1kODgMMAhIDFkxZAwMAPysAGD8zEjkvKxESADkxMAEDIwEhMhYVFAYHEyEDJzMyNjU0JisBAa577QE1AVLf7q2r%2Bf78z497qqh2fHcCSP24Bba9xKXjNP2HAkjGloNpXAABACf%2F7AQ7BcsAJAAgQBALHgMWFhtMWRYEAwhMWQMTAD8rABg%2FKxESADk5MTABFAQjIic1FjMyNjU0JicuAjU0PgEzMhcHJiMiBhUUHgEXHgEDov7f%2FtKKrbGJnlKDaWQ1e%2BGNzbBWoYZthB4%2FZ5t2AazS7kvgYXVoRWtTQ26DT4DGbFy%2FTnVeL0c9QWG1AAABALAAAATDBbYABwAWQAoBEgcDBANMWQQDAD8rEQAzGD8xMCEjASE3IQchAhDtAQj%2BhS0D5iv%2BgwTpzc0AAAAAAQCY%2F%2BwFiwW2ABUAFEAJFQoDBBFMWQQTAD8rABg%2FMzEwAQMCACMiJjU0NxMzAwYVFBYzMjY3EwWLyjj%2B0PvZ7RTB7cAVd3mRqifHBbb8RP71%2Fv3Ux1NXA4X8d1hGZnGhtQOoAAEAugAABUgFtgAMABC2DAYDBwMGEgA%2FPzMSOTEwJTY3ATMBIQMzExYXBwH6RkMBx%2F79BP7%2BkOhKCQIB%2BLKDA4n6SgW2%2FHdngkwAAAABAMsAAAe0BbYAHAAbQAwXDgUOCRsSCgMBCRIAPzM%2FMzMSOTkRMzEwKQEDJzcjBgcBIQMzExQHMzY3ATMTFwczPgE3ATMFJf7%2BJQYEBi9G%2Fn%2F%2FADXlEw0GUzsBg%2BEfAwMIHFQTAWb2A0q5apCT%2FLYFtvyuiNLdhgNJ%2FLmpvFjbKwNOAAAB%2F5EAAAUlBbYACwAVQAkCCAQJBgMBBBIAPzM%2FMxI5OTEwKQEDASEBAzMTASEBBBD%2FAMD%2BSv73Akr69rIBkgEK%2FdkCUP2wAwICtP3kAhz9OgAAAAABALoAAAUABbYACAAQtgAFAQcDBRIAPz8zEjkxMAkBIQEDIxMDMwJGAbABCv2Rcu537vIDGQKd%2FG%2F92wIpA40AAf%2FZAAAEogW2AAkAIEAQBwQFBExZBQMCCAEITFkBEgA%2FKxEAMxg%2FKxEAMzEwKQE3ASE3IQcBIQOF%2FFQhA1L9qisDgSP8rAKFqAQ%2Fz6z7wwAB%2F%2BX%2BvAMQBbYABwAOtQUCAwYBJwA%2FMz8zMTABIQEhByMBMwGT%2FlIBfQGuJ93%2B0d3%2BvAb6sPpnAAEA3QAAAocFtgADAAqzAwMCEgA%2FPzEwARMjAwGs29HZBbb6SgW2AAAB%2F3H%2BvAKaBbYABwAOtQMEAwAHJwA%2FMz8zMTAHMwEjNyEBIWrbATHdJwGu%2FoP%2BVJMFmbD5BgAAAAEAJQIZBBQFvgAGAA60BQIABAIALy8zEjkxMBMBMwEjAwElAmB%2FARC4vP5OAhkDpfxbArL9TgAAAf9E%2FrwCk%2F9IAAMACLEBAgAvMzEwASE3IQJ1%2FM8eAzH%2BvIwAAQIdBNkDlgYhAAgACrIGgAEALxrNMTABIy4BJzUzFhcDlpBBhiL1L1UE2T%2BxQxWalQAAAAIAXv%2FsBH8EZgASACAAJ0AUCxEABwwPBxpGWQcQDxUAE0ZZABYAPysAGD8%2FKwAYPxESOTkxMAUiJjU0EjYzMhYXMzczAyM3IwYnMjYSNTQmIyIGAhUUFgGPjaSL9JJhjCcKPrTsthUGnmlSnmZeTFWWWlEUy7jKAWDNW1ee%2B66wxL6bAQSaWGua%2FveOZmUAAAIAL%2F%2FsBFAGFAAWACMAJ0AUBAwAEAcABhUQF0ZZEBAAHkZZABYAPysAGD8rABg%2FPxESOTkxMAUiJicjByMBMwMOAQczPgEzMhYVFAIGAyIGAhUUFjMyNhI1NAJCYo0oCkCyAUrrRw0yDwhallaRoovyDFGiY11VVZRWFFpWnAYU%2FrM%2Fuy9xV8%2B2yv6dyAO6oP77jGBrnQEHj8kAAAEAXv%2FsA80EZgAXABdADAcMRlkHEAASRlkAFgA%2FKwAYPysxMAUiJjU0EiQzMhcHJiMiAhUUFjMyNjcVBgH6xNiTAQqppIVGemOWyHBjSoFBjBTUxc8BU789uDX%2BzeJveCwgw0cAAAAAAgBe%2F%2BwE3QYUABQAIQAuQBgDCw4ABgAAHEZZABAJCkhZCRUOFUZZDhYAPysAGD8rABg%2FKwAYPxESOTkxMAEyFzM2NxMzASM3Iw4BIyImNTQSNhMyNhI1NCYjIgYCFRQCb7NZCA0YTOn%2BtrgTB1ikXI%2Bij%2FAMUqFhV1lVlFgEZrKSaAFm%2BeywalrLus0BZMT8RKQBCIdbbpr%2B9IvLAAAAAAIAXv%2FsA%2FoEZgAJACMAJkAUAxhIWQMDChERAEhZERAKHUdZChYAPysAGD8rERIAORgvKzEwASIGBzMyNjU0JgMiJjU0EiQzMhYVFAQhIwcVFBYzMjY3FQ4BAphgqSUdvNRA18XdmwEJpKGz%2FrP%2BzCsCcXBIjmFgoQOyrI1rYjM5%2FDrex8YBVbqRhbbNHx1vfiYuuywlAAAAAf8f%2FhQDrgYfAB4AKUAWDxRGWQ8ACBsLGBgbSFkYDwAFRlkAGwA%2FKwAYPysRADMRMxg%2FKzEwAyInNRYzMjcTIz8CPgEzMhcHJiMiBg8BMwcjAw4BTFo7QDKGK9mzFcIVLLWmc2A9Sj5FUxYS5SXl3yi2%2FhQXvhTNA%2F5qTFzGpyuwHFZiVrL7472yAAAD%2F4f%2BFAR3BGYAJwA0AEEASEAoGygoDkZZBzxKWQQgCQMHJSgHKAcVJScCSFknDyU1SVklEBUuSVkVGwA%2FKwAYPysAGD8rERIAOTkYLy8REhc5KysRADMxMAEPARYVFAYjIicGFRQWHwEeARUUBCEiJjU0NjcmNTQ2NyY1NDYzMhcBDgEVFBYzMjY1NCYnEyIOARUUFjMyPgE1NAR3H8Ac7sg0KG8%2FPH%2BwmP7S%2FurL34uaTF1kh%2FXJUFD%2BTHB4b3KjuFpxhUFiNkdCQV81BFKJITpPweMIKEAmHAgQFoN6xNaWg2eWNC1SRWUvUavE8BT7wBJqTkFNbGUzOgwDxU2FT0dNTohRjgABAC8AAARKBhQAGgAcQA4QChQUBUZZFBALAAAKFQA%2FMz8%2FKxESADkxMCETNjU0IyIGBwMjATMDBg8BMz4BMzIWFRQHAwK%2BjhKBcMMtYuwBSus5Gy4TCFSpXYiRF4sCoFolh%2FrZ%2Fi0GFP76fqdLal6bkExi%2FXMAAAACAC8AAAJWBfoACwAPACVAGgkfAy8DAl8DbwN%2FA58DrwPfA%2B8DBwMODw0VAD8%2FL11xzTEwATQ2MzIWFRQGIyImAyMTMwFKTkc1QlBBNUYv7OzrBWJEVDU2R1I0%2BtYEUgAC%2Fvr%2BFAJWBfoADAAYADBAIBZADxAfEC8QTxBfEI8QnxDPEN8QCQ4DEAgPAAVGWQAbAD8rABg%2FL19eXRrNMTADIic1FjMyNwEzAQ4BATQ2MzIWFRQGIyImcVo7QDWDJwEE6f72JrMBKUxHNkFQQTVE%2FhQXvhS6BMP7IbWqB05EVDU2R1IzAAAAAQAvAAAEhwYUAA4AGUANAg0FBgQICQAADwQIFQA%2FMz8%2FERc5MTABIQkBIQMHAyMBMwIGBzMDdwEQ%2Fh0BI%2F760YhN7AFK64cxIwQEUv4b%2FZMB12D%2BiQYU%2FY3NfAABAC8AAAJkBhQAAwAKswIAARUAPz8xMCEjATMBGeoBSusGFAABAC8AAAauBGYAJgAlQBIDJAAXDSEVEhwAHEZZBgAQIg8APz8yKxEAMxg%2FMzMSOTkxMAEyFzM%2BATMyFhUUBwMjEzY1NCMiBgcDIxM2NTQjIgYHAyMTMwczNgMn3CIIS79nhYsWjOuPE3lsuytl648RdW67LWLs7LgVCZQEZut0d5mLQHX9cwKgXyaB%2BM3%2BHwKgUi2H%2FtP%2BKwRSzeEAAAAAAQAvAAAESgRmABgAHEAODgsSEgVGWRIQDA8ACxUAPzM%2FPysREgA5MTAhEzY1NCMiDgEHAyMTMwczPgEzMhYVFAcDAr6OEoFIjHAcYuzsuBUJU7BnhpMXiQKgWimDcteI%2FisEUs12a5iMRXD9cwAAAAIAXv%2FuBDcEZAANABsAF0AMGQNGWRkQEgpGWRIWAD8rABg%2FKzEwATQmIyIOARUUFjMyPgE3FAIGIyImNTQSJDMyFgNKYltdk1FjYVqQUO2S%2F6bA4o8BAqnD3AK%2Ba3mP9Ytvdoj1icr%2BtbHlxccBTLnoAAAAAv%2FJ%2FhQEUARmABMAIAAmQBQDCgANDRRGWQ0QCA8HGwAbRlkAFgA%2FKwAYPz8%2FKxESADk5MTAFIicjBgcDIwEzBzM2MzIWFRQCBgMiBgIVFBYzMjYSNTQCQrVYCgcSYOkBUrgVCZ27j6KM8QxRoGVdVVWUVhSwYVj%2BMQY%2BvNDOt8z%2BncYDup%2F%2B%2Boxga50BB4%2FJAAAAAAIAXv4UBH8EZgAVACIAJ0AUDAMPAAQPBxsAHUZZABAPFkZZDxYAPysAGD8rABg%2FPxESOTkxMAEyFzM3MwEjEz4BNyMOASMiJjU0EjYTMjYSNTQmIyIGAhUUAnG3WwpAsv6s6UsMPwcIVKBai6CS7w1QnmFbUVaUWQRmsp75wgFdOPgRbFrNttABZsH8RKIBCIlea5v%2B%2BI7LAAAAAAEALwAAA4kEZgAQABRACQUNCgAQChULDwA%2FPz8ROTIxMAEyFwcmIyIGBwMjEzMHMz4BAx0%2BLjM2MH7GJ2rs7LgVCVOmBGYM2w7it%2F4MBFLNeGkAAAEADv%2FsA3EEZgAiACBAEAscAxQUGUdZFBADCEhZAxYAPysAGD8rERIAOTkxMAEUBiMiJzUWMzI2NTQmJy4BNTQ2MzIXByYjIgYVFBYXHgIDDuzSvoSZn2F4RWt9Z9a2xJZMjH5JW0JmaVguAVStu0PLWlBFM0k9Q4tfm7BUsExCOy1GNztUYwABAFz%2F7AMlBUgAGQAnQBMPEUALFA4RERRIWREPBgBGWQYWAD8rABg%2FKxEAMxEzGhgQzTEwJTI3FQ4BIyA1NDcTIz8CMwchByEDBhUUFgHHRFMjeDz%2B7hB5ohW%2BgZI0ARcn%2Fut6DTKqH7IRGvc5SgI6blLo9rL9xDclKzMAAQBv%2F%2BwEhwRSABkAG0ANDxIKGQ8NFRIFRlkSFgA%2FKwAYPz8zEjkxMAEDBhUUMzI%2BATcTMwMjNyMOASMiJjU0NjcTAfqBH39Ijm4eY%2BnpuRUIUrJnhpIYDHsEUv2ejTSFctOOAdX7rs10bZiOP3s%2BAkgAAAABAGQAAARQBFIADAAOtQUKAQ8AFQA%2FPzMyMTAzAzMTFhUzPgE3ATMB54PoNw4HHFQXATf6%2FaoEUv2qn4pKtikCVvuuAAEAeQAABl4EUgAbAB1ADRQMAwwHEBAZCA8ABxUAPzM%2FMzMREjk5ETMxMCEDJzcOAQEhAzMTBgczNjcBMxMXBzM%2BAhMzAQNMEwEDGTX%2Bwf76L90NAgkGQisBFv4TAQMGEVAv5PT9%2BgJzRsg%2Bfv07BFL9eleesGACa%2F2kNeoy2W4CAvuuAAH%2FqgAABFQEUgALABVACQAGAgcEDwsCFQA%2FMz8zEjk5MTAJASEBAzMTASEBEyMB6f7P%2FvIB2%2Bf1kAEfARL%2BM%2Fj2AYP%2BfQI5Ahn%2BiwF1%2Fdv90wAAAAH%2FVv4UBFIEUgAXABhACwUOCQAPDhNGWQ4bAD8rABg%2FMxI5MTATMxMeARUzNjcBMwEOASMiJzUWMzI2PwFk6D8JDgZWMQEl%2Fv1QWtSPTENLMkp4QDMEUv3tPuFF12ICPvsApZkTvBBXcFwAAAH%2F2QAAA6IEUgAJACRAEgcEBQUESFkFDwIIAQEISFkBFQA%2FKxESADkYPysREgA5MTApATcBITchBwEhAs%2F9Ch0Ce%2F5JJwLBJf2RAeaTAw2yqv0KAAEACP68A0oFtgAnACBAEBsJCa8KvwoCCgoTJicUEwMAPzMvMxI5L10zEjkxMAEgNTQ%2FATY1NCM3MjY3Ez4COwEHIgYHAw4BBxUWFRQPAQYVFBYzFQHJ%2FsQRLQ7RJ3iPFjscWpZ7PClgVxJGGH50oBArC0FN%2FrzsPUjJQSGNu1VlAROGhzy4RFL%2By2x9EQYtqiZTwjAaMy%2B5AAAAAAEB8v4fAqQGEAADAAmyAAADAC8%2FMTABMxEjAfKysgYQ%2BA8AAAH%2FqP68AtEFtgAmACBAEBoKCq8JvwkCCQkmExIlJgMAPzMvMxI5L10zEjkxMAEgFRQPAQYVFDMHIgYHAw4BKwE1PgE3Ez4BNzUmNTQ%2FATY1NCYjNwEOAT4RLQ7RJ3mOFj8is7Qdal0SRhh%2BdJ4RKwpWTiMFtus9SMtBIY66VGT%2BzqWGtwJFUAE1bXoRBjCnN0LFLB46KLgAAQBvAjsEKwNoABcAH0AODwYDEhIMUlkSBgBSWQYALysAGC8rABAYxBDGMTABIgYHNTYzMhYXHgEzMjY3FQYjIiYnLgEBWDN6PGSVQG1cRloxMn06Z5M%2Fek1MVwK0Pju%2FbBgnHhk%2BOr5vISEgFwAAAAL%2F0%2F6LAgoEXgADAA8AF0AKAAANAw0HUVkNEAA%2FKwAYLxI5LzEwEzMDIQEUBiMiJjU0NjMyFt2upv7uAjdeUDtEYk5BPAKF%2FAYFVlBkPzxSZEcAAAEAw%2F%2FsBDEFywAeACRAEgIeHhhNWR4BGQkMDBFPWQwKBgA%2FzSsRADMYP8UrEQAzMTAFIzcuATU0EjY%2FATMHFhcHJiMiDgEVFBYzMjY3FQYHAkKcLYSMf%2BWTI5wlfGFFfWFjollwY0qBQYWgFNUiyZ6%2BAULHFqSkDC25NY%2F2j294KyDCRQUAAAAB%2F%2B4AAAS4BcsAHAAxQBkLFxgXT1kIGBgSAAAFTVkABxMPEg9OWRIYAD8rEQAzGD8rERIAORgvMysRADMxMAEyFwcmIyIHAyEHIQcOAQchByE3Nj8BIzczEz4BA1i8pFiPc7kqOQFNIv6wIRVfUwKyLfw0JsgyI8QkxT0m5gXLVrdKzf7qrJhihirPwS3npKwBK7nCAAAAAAIAjQEOBBkEmAAbACcAGEANCQwQExcaAgUIHxUlBwAvM8QyFzkxMBM0Nyc3FzYzMhc3FwcWFRQHFwcnBiMiJwcnNyY3FBYzMjY1NCYjIgbRPYF3f2ZpbGN%2FeYE9PX93f19weFd%2FdX89qH1cW4KCW1x9AtNuX4F3fz0%2FgXWBY2xyX313fzs7fXd9X3BbfnxdXX6AAAABAGoAAAT6BbYAFgA9QCEKDg8OUFkHDwYSExJQWQMAExUPEx8TAg8TDxMMARUGDBgAPz8zEjk5Ly9dERI5MisRADMRMysRADMxMAkBMwEzByEHIQchByM3ITchNyE3MwMzAlIBsPj9%2Btkj%2Fu4fARIh%2FvA13TP%2B7yEBER7%2B8CPTx%2BgDGQKd%2FQiblJv09JuUmwL4AAAAAgHy%2Fh8CpAYQAAMABwATtwMEAwQHAAAHAC8%2FETk5Ly8xMAEzESMRMxEjAfKysrKyBhD85v5F%2FOQAAAAAAgAn%2F%2FID9AYjACwAOAAlQBUCLRQzGikGHwgIDklZCAEfJElZHxYAPysAGD8rERIAFzkxMBM0Ny4BNTQ2MzIXBy4BIyIGFRQWFx4BFRQGBxYVFAYjIic1FjMyNjU0JicuAQEOARUUFhc%2BATU0JqLbLz7fubKaRD6HTVZhSXB%2Fd2lsZvbPvH%2BYp3R0TmaCdgFcRVNdfz5LYwL8vHcgZEGKpU6eHStFPCtDMjiPYFyePUx1nbBDu11RRytJMDyPAUEaaj49VzkkbTw8WQAAAgGqBQIEFwXsAAsAFwAMsw8DFQkALzPNMjEwATQ2MzIWFRQGIyImJTQ2MzIWFRQGIyImAapGPzA5RzovPgF%2FRj8wOUc6Lz4FZDxMLzBBSi8zPEwvMEFKLwAAAAADAIP%2F7AZiBcsAFQAlADUAL0AbBQsPCx8LnwsDABEAERARAgsRCxEiMhoEKiITAD8zPzMSOTkvL10RM10RMzEwASIGFRAzMjY3FQYjIiY1NDYzMhcHJgE0EiQzMgQSFRQCBCMiJAI3FBIEMzIkEjU0AiQjIgQCA6Jxfe4vgix1e8XU48eKgERq%2FIfIAV7KxwFdy8X%2BpM7P%2FqLDe6YBJKutASWipP7draj%2B26gECpib%2FtMgE54z99TY%2BUKTN%2F7RyAFeysb%2Bn8nH%2FqTMzwFaxqj%2B36yuASGmpQEjran%2B2wAAAAIAoAMCAzsFxwASAB0AH0AQBwgDEwAMEAwCDAAEHhkAHwA%2FMj8Q1F0yOTnEMTABMhczNzMDIzcjDgEjIiY1ND4BEzI%2BATU0IyIGFRQB8nE1Bid2k3sKBDJgPVtpXpcHMl87ZlJxBcdnWv1UaT43hHKA3XL9umCfT3fDhX0AAAAAAgBQAGQEEgPjAAYADQAMswwFCAEALzPEMjEwEwEXARMHAyUBFwETBwNQAYuH%2FuCZstkBuAGBif7ok7TRAj8BpHb%2BtP6PTAHFAgGycP6h%2FqJMAa4AAQB1AQAEHQMrAAUAEbYCBQUEUlkFAC8rABgQxDEwAREjESE1BB2z%2FQsDK%2F3VAXe0AAAA%2F%2F8ALwG%2BAlICiRIGABAAAAAEAIP%2F7AZiBcsADwAfACwANQAzQB0lKQ8pHykCNSoAKhAqAictKSoqKS0DDBwEBBQMEwA%2FMz8zEhc5Ly8vM10RM10RMzEwEzQSJDMyBBIVFAIEIyIkAjcUEgQzMiQSNTQCJCMiBAIlFAYHEyMDIxEjESEgATMyNjU0JisBg8gBXsrHAV3Lxf6kzs%2F%2BosN7pgEkq60BJaKk%2Ft2tqP7bqAPAW1XTyKxbsgENAVH%2BVEhUWltTSALbyAFeysb%2Bn8nH%2FqTMzwFaxqj%2B36yuASGmpQEjran%2B2wlTfCT%2BiwFF%2FrsDbv5nSD9JOAAAAQBvBhQEJQa6AAMACLEBAgAvMzEwASE3IQP8%2FHMnA48GFKYAAgC8AzsDTgXLAAwAGAAMsxAJFgMALzPEMjEwEzQ2MzIWFRQGIyIuATcUFjMyNjU0JiMiBrzCiIjAwIhYmliYaEpIaGdJSmgEgYjCwoiJvViWWEZoaEZKaGcAAAACAHUAAAQdBMMACwAPACRAFAwNUlkMQgkBAgFSWQYQAgFwAgECAC9dcTMrEQAzGD8rMTABITUhETMRIRUhESMBNSEVAfD%2BhQF7tAF5%2Foe0%2FoUDqAKRtQF9%2FoO1%2For%2B5bS0AAAAAQBOAkoDEAXJABkAErcKEB8CGBgBIAA%2FMxI5PzMxMAEhNyU%2BAjU0JiMiByc%2BATMyFhUUDgEPASECqv2kHAENb0sjODBbZFBElV5ziS9ldq4BcwJKh99fUkgmLjRQezY3eF9Fb25bjgABAGgCOQMQBckAIwAnQBYDFRUPFh8WAg8WHxYCFhYKHCEfDwohAD8zPzMSOS9dcTMSOTEwARQGBxUeARUUBiMiJzUWMzI2NTQrATczMjY1NCMiByc2MzIWAxBtaE5Kx6qKcH56WmOSbBxdWWt1XGBEfqV8igT4WnYaBBJiQoGaOJ9HSkVxhURBZEF5Wm8AAAABAfwE2QPlBiEACAAKsgOACAAvGs0xMAE2NyEVDgEHIwH8YYABCDbQR5wE8mzDE0K%2FNAAAAf%2FJ%2FhQEkwRSABoAIEAQEgwKBxcPFhsKFQ8DRlkPFgA%2FKwAYPz8%2FMxI5OTEwARQWMzI2NxMzAyM3Iw4BIyInIwYHAyMBMwMGAWZCP3HBLWbn67gWCkucV2wvCAkeQukBUuuNEwEzQUj71AHZ%2B66%2Bb2NRSaL%2BwgY%2B%2FWJUAAEArP78BLQGFAAPABO3CAgBAw4ABQEALzM%2FMxI5LzEwASMRIxEjEQYjIiY1EDYzIQS0i7yMPlPYzNrpAkX%2B%2FAZm%2BZoDMxL6%2BwEE%2Fv%2F%2FAJYCOQHDA2oQBwARAHUCVgAAAAH%2FRP4UAOwAAAASABpADQ0QQAsOSBAQDwgDGw8ALz8zEjkvKzMxMBMUBiMiJzUWMzI1NCYnNzMHHgHspI5ANi8xiUZFYpIySED%2B%2BGp6D4cOYCgrCahgGVQAAAAAAQDBAkoCtgW2AAoADrUJAyAGAB4APzI%2FOTEwATMDIxM2Nw4BBycCFKK6v2MRKBU5fU0FtvyUAc1PihQuUIEAAAIApAMCAwgFxwANABcAFEAKEwAEEAQCBA4LHwA%2FM8RdMjEwARQOASMiJjU0PgEzMhYlIgYVFDMyNjU0AwhUnm56ilija3yC%2FvZRZ3BNZQS2fsZwkoN6x2%2BPCq%2BBja%2BEigAAAAACAAoAXAPPA9sABgANAA60CAEBDAUALzPELzIxMAkBJwEDNxMFAScBAzcTA8%2F%2Bc4YBH5m02f5I%2Fn%2BMARmSs9MB%2Fv5edwFKAXJM%2FjkC%2FlBxAVwBYEz%2BUAD%2F%2FwCVAAAFxQW2ECcA0wKTAAAQJgB71gARBwDUAsH9twAJswMCERgAPzU1AP%2F%2FAHkAAAYeBbYQJwDTAncAABAmAHu5ABEHAHQDDv23AAeyAhAYAD81AAAA%2F%2F8AbAAABi8FyRAnANMDIQAAECcA1AMr%2FbcRBgB1BAAACbMCAQYYAD81NQAAAv%2Fd%2FnUC%2FgRaABkAJQAtQBgHABkQGQILAxkZECMjHVFZIxAQCk1ZECIAPysAGD8rERIAORgvX15dOTEwAQ4BBw4CFRQWMzI2NxcGIyImNTQ2Nz4BNwEUBiMiJjU0NjMyFgKcGW10a00lVFFMk09Lzcyuv4CnXWAWASdgUjhDXU9CPwKDkqpTT05QMEdXNyaxcKuceMZ1QHVfAV5VY0E8TmZEAP%2F%2F%2F4cAAAROB3MSJgAkAAARBwBD%2F%2F0BUgAKtAIQEAUmACsRNf%2F%2F%2F4cAAASsB3MSJgAkAAARBwB2AMcBUgAKtAIXFwUmACsRNf%2F%2F%2F4cAAASFB3MSJgAkAAARBwDFAFoBUgAKtAIVFQUmACsRNf%2F%2F%2F4cAAATLB0gSJgAkAAARBwDHAHMBUgAKtAIYGAUmACsRNf%2F%2F%2F4cAAARzBz4SJgAkAAARBwBqAFwBUgAMtQMCJCQFJgArETU1AAD%2F%2F%2F%2BHAAAETgcHEiYAJAAAEQYAxhttAAmzAwIkAwA%2FNTUAAAAAAv%2BHAAAHJQW2AA8AEwA8QCAKDUxZCgoBBhMDTFkTEwEGBRIJEgYSTFkGAwEOTFkBEgA%2FKwAYPysRADMYPxESOS8rERIAORgvKzEwKQETIQEhASEHIQMhByEDIQETIwEF8Pz3Vv5Q%2FwD%2B%2BgOiA%2Fwr%2FeVUAfgr%2FgpiAhv9TYpS%2FnABlv5qBbbN%2FnXI%2FjUBmwKD%2FX0A%2F%2F8Ah%2F4UBSEFyxImACYAABAHAHoCKwAA%2F%2F8ARgAABIMHcxImACgAABEHAEP%2F8QFSAAq0AQ0NBSYAKxE1%2F%2F8ARgAABIMHcxImACgAABEHAHYAfQFSAAq0ARQUBSYAKxE1%2F%2F8ARgAABIMHcxImACgAABEHAMUAPwFSAAq0ARISBSYAKxE1%2F%2F8ARgAABIMHPhImACgAABEHAGoANQFSAAy1AgEhIQUmACsRNTUAAP%2F%2FAEYAAAJ2B3MSJgAsAAARBwBD%2FuABUgAKtAEFBQUmACsRNf%2F%2FAEYAAAOIB3MSJgAsAAARBwB2%2F6MBUgAKtAEMDAUmACsRNf%2F%2FAEYAAANpB3MSJgAsAAARBwDF%2Fz4BUgAKtAEKCgUmACsRNf%2F%2FAEYAAANgBz4SJgAsAAARBwBq%2F0kBUgAMtQIBGRkFJgArETU1AAAAAgA1AAAFHwW2AA0AGwAtQBcaBwgHTFkXCAgFCgoWTFkKAwUbTFkFEgA%2FKwAYPysREgA5GC8zKxEAMzEwARACBCkBEyM3MxMhIAABMiQSNTQmKwEDIQchAwUfyP6C%2Fv7%2Bb4GSLZCJAXEBDwEk%2FMSxAQiNsKiSXgEdLf7lWgN9%2FvH%2BbNoCb8gCf%2F7e%2FDWsATjIuMH%2BScj%2BWv%2F%2FAEQAAAXdB0gSJgAxAAARBwDHAQABUgAKtAEbGwUmACsRNf%2F%2FAIf%2F7AWNB3MSJgAyAAARBwBDAG8BUgAKtAIdHQUmACsRNf%2F%2FAIf%2F7AWNB3MSJgAyAAARBwB2ARcBUgAKtAIkJAUmACsRNf%2F%2FAIf%2F7AWNB3MSJgAyAAARBwDFAMkBUgAKtAIiIgUmACsRNf%2F%2FAIf%2F7AWNB0gSJgAyAAARBwDHANkBUgAKtAIlJQUmACsRNf%2F%2FAIf%2F7AWNBz4SJgAyAAARBwBqAMUBUgAMtQMCMTEFJgArETU1AAAAAQCTAR8EAASHAAsAFkAKAwAGCQQCCggEAgAvMy8zEhc5MTAJATcJARcJAQcJAScByf7KfQE4ATl%2F%2FsUBN3v%2Bx%2F7IegLTATd9%2FssBNXv%2Bx%2F7HewE1%2Fs17AAMAbf%2BqBbQGBAAVAB4AJwAuQBodIRwiBCQWERQJBgQEDw8WTFkPBAQkTFkEEwA%2FKwAYPysREgAXORESFzkxMAEQAgQjIicHJzcmNRASJDMyFzcXBxYlIgYCFRQXASYTNCcBFjMyNhIFjb7%2Bs9zBfXaFgWfFAVbZvYB3hYVe%2FduN4IIYApxQvxP9a0t3i998A5r%2B6f5M41OVaKCK4wELAbnqXpVopoKOuv6oz1hMA0RB%2FpZYN%2FzHOL8BUgD%2F%2FwCY%2F%2BwFiwdzEiYAOAAAEQcAQwBOAVIACrQBFxcFJgArETX%2F%2FwCY%2F%2BwFiwdzEiYAOAAAEQcAdgEbAVIACrQBHh4FJgArETX%2F%2FwCY%2F%2BwFiwdzEiYAOAAAEQcAxQC2AVIACrQBHBwFJgArETX%2F%2FwCY%2F%2BwFiwc%2BEiYAOAAAEQcAagCwAVIADLUCASsrBSYAKxE1NQAA%2F%2F8AugAABQAHcxImADwAABEHAHYAZgFSAAq0ARERBSYAKxE1AAIARgAABGQFtgAMABUAH0ARCRVMWQ0ETFkJDQkNBgcDBhIAPz8SOTkvLysrMTABFAAhIwMjATMHMzIWATMyNjU0JisBBGT%2Bs%2F7KbELtATXtM2Hj6%2F06YLDFd3l5AzHz%2FvP%2BzwW288r%2BAZ2UbWIAAAAB%2Fv7%2BFAS2BhsAOQAsQBgxFCUDHQwMNEdZDAAdIkhZHRYABUZZABsAPysAGD8rABg%2FKxESABc5MTADIic1FjMyNjcBPgEzMhYVFAcOARUUFx4CFRQGIyInNRYzMjY1NCYnLgE1NDY3PgE1NCYjIgcBDgF1RUg9NEFTFgEGMPrgvNGzdj1Ka0gm6Ma2ZX5%2BaXYvWFJOWVtiUV5V0jT%2B%2BCq5%2FhQXwRVXaATS58ygh6mCV0EjLDlUVmM8rMhByVZYUDBKRkBzRUuAPEJcNEFI7%2FsUxa4A%2F%2F8AXv%2FsBH8GIRImAEQAABEGAEO5AAAKtAIiIhEmACsRNQAA%2F%2F8AXv%2FsBH8GIRImAEQAABEGAHZaAAAKtAIpKREmACsRNQAA%2F%2F8AXv%2FsBH8GIRImAEQAABEGAMX9AAAKtAInJxEmACsRNQAA%2F%2F8AXv%2FsBH8F9hImAEQAABEGAMcSAAAKtAIqKhEmACsRNQAA%2F%2F8AXv%2FsBH8F7BImAEQAABEGAGr%2FAAAMtQMCNjYRJgArETU1%2F%2F8AXv%2FsBH8GmhImAEQAABEGAMboAAAMtQMCJCQRJgArETU1AAMAXv%2FsBo8EZgApADcAQQA%2FQCM7IUhZOzsGAhQXBAkQFQ84MRAxRlkaEBAEFSUqCSpGWQAJFgA%2FMysRADMYPz8zKxEAMxg%2FERIXOTkvKzEwBSInByM3Iw4BIyImNTQSNjMyFhczNzMHPgEzMhYVFAQhIwcUFjMyNxUGJTI2EjU0JiMiBgIVFBYBIgYHMzI2NTQmBKLeUxeXFAhVoV6Gl4rvjViALAk%2FlBkzoGSMof6z%2FswtBHlzfbSv%2FIZVm2BNS1WVU0oDn2erJR%2B71EQUiXWwalrOtckBYsxXW551P0qZfbbNPHV4VL1PvqEBDoRbbqD%2B%2BotpYgMIrI1rYDo0AP%2F%2FAF7%2BFAPNBGYSJgBGAAAQBwB6AYEAAP%2F%2FAF7%2F7AP6BiESJgBIAAARBgBDlwAACrQCJSURJgArETUAAP%2F%2FAF7%2F7AQWBiESJgBIAAARBgB2MQAACrQCLCwRJgArETUAAP%2F%2FAF7%2F7AQJBiESJgBIAAARBgDF3gAACrQCKioRJgArETUAAP%2F%2FAF7%2F7AP6BewSJgBIAAARBgBq2gAADLUDAjk5ESYAKxE1Nf%2F%2FAC8AAAIYBiESJgDCAAARBwBD%2FoIAAAAKtAEFBREmACsRNf%2F%2FAC8AAAMdBiESJgDCAAARBwB2%2FzgAAAAKtAEMDBEmACsRNf%2F%2FAC8AAAMJBiESJgDCAAARBwDF%2Ft4AAAAKtAEKChEmACsRNf%2F%2FAC8AAAL7BewSJgDCAAARBwBq%2FuQAAAAMtQIBGRkRJgArETU1AAAAAgBQ%2F%2BwEewYlAB0AKwA2QBwFCAAbBAYcHAMZDhUVJUdZFRUOBgMBDh5HWQ4WAD8rABg%2FMxI5LysREgA5EjkYLxIXOTEwASYnNxYXNxcHFhEUAgQjIiY1NBI2MzIWFzMmJwcnEzI%2BATU0JiMiDgEVFBYChyxbaoFQ%2BkbZm5L%2B%2BrXF24Puk2CQKQYKe%2FpIUFyLTmhcW4tKYgUtKTeYSEqKf3nN%2Fs3%2F%2FoW%2F1sOiARKcTUbzjI6B%2B%2B53x2phdHDDc2hvAAAA%2F%2F8ALwAABH0F9hImAFEAABEGAMclAAAKtAEiIhEmACsRNQAA%2F%2F8AXv%2FuBDcGIRImAFIAABEGAEOfAAAKtAIdHREmACsRNQAA%2F%2F8AXv%2FuBDcGIRImAFIAABEGAHZIAAAKtAIkJBEmACsRNQAA%2F%2F8AXv%2FuBDcGIRImAFIAABEGAMXzAAAKtAIiIhEmACsRNQAA%2F%2F8AXv%2FuBFoF9hImAFIAABEGAMcCAAAKtAIlJREmACsRNQAA%2F%2F8AXv%2FuBDcF7BImAFIAABEGAGrvAAAMtQMCMTERJgArETU1AAMAdQDsBB0EtgADAA8AGwAcQAwHDRkTDRMBAQBSWQEALysRADMzGC8zLzMxMBM1IRUBNDYzMhYVFAYjIiYRNDYzMhYVFAYjIiZ1A6j9rj8%2BPkFFOjpDPz4%2BQUU6OkMCd7S0%2Fv5AR0g%2FQElHAvxAR0g%2FQElHAAAAAAMAM%2F%2BmBFoEkwAVAB0AJgAuQBocJBslBB4WERQJBgQEDw8WR1kPEAQeR1kEFgA%2FKwAYPysREgAXORESFzkxMAEUAgYjIicHJzcmNTQSJDMyFzcXBxYlIgIVFBcBJgMyPgE1NCcBFgQ1lP2iiWJpe3NGjQECqYhnVn1kP%2F5YjbwIAbotyVmUVQb%2BTCkCvND%2BsK47g2CNaJ3IAUq6PWxgdWRO%2Ft3bJyMCJSP9AIXrjC0W%2FeIh%2F%2F8Ab%2F%2FsBIcGIRImAFgAABEGAEOhAAAKtAEbGxEmACsRNQAA%2F%2F8Ab%2F%2FsBIcGIRImAFgAABEGAHZzAAAKtAEiIhEmACsRNQAA%2F%2F8Ab%2F%2FsBIcGIRImAFgAABEGAMUQAAAKtAEgIBEmACsRNQAA%2F%2F8Ab%2F%2FsBIcF7BImAFgAABEGAGoGAAAMtQIBLy8RJgArETU1%2F%2F%2F%2FVv4UBFIGIRImAFwAABEGAHb5AAAKtAEgIBEmACsRNQAAAAL%2Fyf4UBFAGFAAWACQAJ0AUBA0AEAkACBsQF0ZZEBAAHkZZABYAPysAGD8rABg%2FPxESOTkxMAUiJicjBgcDIwEzDgEHMzYzMhYVFAIGAyIGAhUUFjMyNhI1NCYCSl6OKwgHEmDpAbDrMDIzCJutkKGI6RxUnmBcVlaTVlIUW1VbXv4xCADf6K%2FIzLnM%2Fp3GA7qi%2FveGYmmaAQiRZGUAAP%2F%2F%2F1b%2BFARSBewSJgBcAAARBgBqmQAADLUCAS0tESYAKxE1NQABAC8AAAIGBFIAAwAKswIPARUAPz8xMCEjEzMBG%2Bzs6wRSAAACAIf%2F7AdSBc0AFQAhADpAIBATTFkQEAEMDA9MWQwDChtMWQoEARRMWQESAxZMWQMTAD8rABg%2FKwAYPysAGD8rERIAORgvKzEwKQEGIyAAERASJDMyFyEHIQMhByEDIQUyNxMmIyIGAhUUFgYd%2FTNUVv79%2FuTFAVbZkU4C%2BCv95VQB%2BCv%2BCGACG%2FxsSkHeRHGK4H%2BjFAErAQgBCwG56hfN%2FnXI%2FjUTGwQOH8D%2Bq8qtvAAAAAADAF7%2F7AbDBGYAIgAvADkAO0AeDgMFDDMYSFkzMwUMMCMMI0ZZEQwQHCoFKkZZAAUWAD8zKxEAMxg%2FMysRADMREjkYLysREgA5OTEwBSImJwYjIiY1NBIkMzIXPgEzMhYVFAQhIwcUFjMyNjcVDgEBIg4BFRQWMzISNTQmJSIGBzMyNjU0JgTJeLkwie262pMA%2F6btYknKfZ%2Bv%2FrX%2Bzi8DcXFFg29bqP1dV41XYVuPrWMCiWmuIh%2B90jwUXFy258XOAU2vwFtnlYG3zDxvfiMxvSskA7aA9ZF0egEl6291EKuObGUwOAAAAQFiBNkEKwYhAA0ADrQDC4AGAQAvMxrNMjEwASMmJwYHIzU%2BATczFhcEK5hMVYNppIp%2BG%2FgmiATZP3NuRBmAhyhjzAACAh0E1wP0BpoACwAXABlADg8PCR8JLwkDcAkBCRUDAC8zzF1dMjEwARQGIyImNTQ2MzIWBzQmIyIGFRQWMzI2A%2FSEamp%2FgmdohoM8Ly07NTMvPAW6aHt6Z2d7eWkyOTkyMTc3AAAAAAEBRgTXBFgF9gAVACFAEBAABQsACwALfxSPFAIUgAkALxrMXTk5Ly8RMxEzMTABIi4CIyIGByMSMzIeAjMyNjczAgNULUtEPyAmMhKJOccuTkM8HSgyF4lCBNkiKSI3OAEdIykjNTz%2B4wAAAAEALwHFA6AChwADAAixAAEALzMxMBM3IQcvKwNGKwHFwsIAAAEALwHFB3cChwADAAixAAEALzMxMBM3IQcvKwcdKwHFwsIAAAEAdwPBAjEFtgAHAAmyAAQDAD%2FNMTATJzYSNzMCB30GIpFXsHpNA8EWTAEKif7i1wAAAAABAHMDwQIvBbYACAAJsgUIAwA%2FzjEwARcGAgcjNhI3AicIJZNSsit%2BHQW2FlP%2B839fAUBWAAAAAAH%2Fmv74AVYA7gAGAAixBAAAL80xMCUXBgcjNhMBTghsnrJpX%2B4X6fbuAQgAAgB3A8EDyQW2AAYADgANtAAHAwsDAD8zzTIxMAEnNhMzAgchJzYSNzMCBwIXCVS3sHpN%2FXsGIpFXsHpNA8EWvgEh%2FuLXFkwBCon%2B4tcAAAACAHMDwQPHBbYACAAQAA20DQUQCAMAPzPOMjEwARcGAgcjNhI3IRcGAyM2EjcCJwglk1KyK34dAoUJYquwM3QgBbYWU%2F7zf18BQFYW3P79cgEmXQAC%2F5r%2B%2BALuAO4ABgANAAyzCwQNAAAvMs0yMTAlFwYHIzYTIRcGAyMSNwFOCGyesmlfAoMJXK%2BweE%2FuF%2Bn27gEIF87%2B7wEZ3QABAJgBzQKkBAgACwAIsQkDAC8vMTATNDYzMhYVFAYjIiaYp4xkdaSRZnECrJzAbXKcwHMAAQBQAGQCYgPjAAYACLEFAQAvxDEwEwEXARMHA1ABi4f%2B4Jmy2QI9AaZ2%2FrL%2BkUwBwQAAAAEACgBcAh0D2wAGAAixAQUAL8QxMAkBJwEDNxMCHf50hwEhmrPZAgL%2BWncBTgFuTP5AAAAB%2FgIAAAMCBbYAAwAKswMDAhIAPz8xMAkBIwEDAvvFxQQ9Bbb6SgW2AAAAAAIARgJKAwQFvAAKABAAJUAUDQcBBQkFBgMPEB8QAhAQAwceAyAAPz8SOS9dFzMRMxEzMTABIwcjNyE3ATMDMyE%2FAQYPAQLneie3J%2F6QGgHdxXl7%2Fs80IiBCuwL6sLCJAjn9zd2BM1DbAAAAAAEAM%2F%2FsBNkFywAnAFNALwYcHRxQWQMdCxcYF1BZCBgPHR8dAgkAGHAYAgsDHRgdGBMhIQBNWSEHEw5OWRMZAD8rABg%2FKxESADk5GC8vX15dXl0RMysRADMRMysRADMxMAEiBgchByEGByEHIRQWMzI3FQYjIgI1IzczNjcjNzMSADMyFhcHLgEDkXbBQQGDIf5uEgoBVCH%2BwXmHeIqBsdjkoiGLDwyJIJRcAUfQWJlQZjZqBQKuqJpDSJuhkzzLPQEE%2FJtfLJoBBAEbLDe0IiwAAAAAAAABAAAjAAABBdMYAAAKCvIABQAk%2F3EABQA3ACkABQA5ACkABQA6ACkABQA8ABQABQBE%2F64ABQBG%2F4UABQBH%2F4UABQBI%2F4UABQBK%2F8MABQBQ%2F8MABQBR%2F8MABQBS%2F4UABQBT%2F8MABQBU%2F4UABQBV%2F8MABQBW%2F8MABQBY%2F8MABQCC%2F3EABQCD%2F3EABQCE%2F3EABQCF%2F3EABQCG%2F3EABQCH%2F3EABQCfABQABQCi%2F4UABQCj%2F64ABQCk%2F64ABQCl%2F64ABQCm%2F64ABQCn%2F64ABQCo%2F64ABQCp%2F4UABQCq%2F4UABQCr%2F4UABQCs%2F4UABQCt%2F4UABQC0%2F4UABQC1%2F4UABQC2%2F4UABQC3%2F4UABQC4%2F4UABQC6%2F4UABQC7%2F8MABQC8%2F8MABQC9%2F8MABQC%2B%2F8MABQDE%2F4UACgAk%2F3EACgA3ACkACgA5ACkACgA6ACkACgA8ABQACgBE%2F64ACgBG%2F4UACgBH%2F4UACgBI%2F4UACgBK%2F8MACgBQ%2F8MACgBR%2F8MACgBS%2F4UACgBT%2F8MACgBU%2F4UACgBV%2F8MACgBW%2F8MACgBY%2F8MACgCC%2F3EACgCD%2F3EACgCE%2F3EACgCF%2F3EACgCG%2F3EACgCH%2F3EACgCfABQACgCi%2F4UACgCj%2F64ACgCk%2F64ACgCl%2F64ACgCm%2F64ACgCn%2F64ACgCo%2F64ACgCp%2F4UACgCq%2F4UACgCr%2F4UACgCs%2F4UACgCt%2F4UACgC0%2F4UACgC1%2F4UACgC2%2F4UACgC3%2F4UACgC4%2F4UACgC6%2F4UACgC7%2F8MACgC8%2F8MACgC9%2F8MACgC%2B%2F8MACgDE%2F4UACwAtALgADwAm%2F5oADwAq%2F5oADwAy%2F5oADwA0%2F5oADwA3%2F3EADwA4%2F9cADwA5%2F4UADwA6%2F4UADwA8%2F4UADwCJ%2F5oADwCU%2F5oADwCV%2F5oADwCW%2F5oADwCX%2F5oADwCY%2F5oADwCa%2F5oADwCb%2F9cADwCc%2F9cADwCd%2F9cADwCe%2F9cADwCf%2F4UADwDD%2F5oAEAA3%2F64AEQAm%2F5oAEQAq%2F5oAEQAy%2F5oAEQA0%2F5oAEQA3%2F3EAEQA4%2F9cAEQA5%2F4UAEQA6%2F4UAEQA8%2F4UAEQCJ%2F5oAEQCU%2F5oAEQCV%2F5oAEQCW%2F5oAEQCX%2F5oAEQCY%2F5oAEQCa%2F5oAEQCb%2F9cAEQCc%2F9cAEQCd%2F9cAEQCe%2F9cAEQCf%2F4UAEQDD%2F5oAJAAF%2F3EAJAAK%2F3EAJAAm%2F9cAJAAq%2F9cAJAAtAQoAJAAy%2F9cAJAA0%2F9cAJAA3%2F3EAJAA5%2F64AJAA6%2F64AJAA8%2F4UAJACJ%2F9cAJACU%2F9cAJACV%2F9cAJACW%2F9cAJACX%2F9cAJACY%2F9cAJACa%2F9cAJACf%2F4UAJADD%2F9cAJADL%2F3EAJADO%2F3EAJQAP%2F64AJQAR%2F64AJQAk%2F9cAJQA3%2F8MAJQA5%2F%2BwAJQA6%2F%2BwAJQA7%2F9cAJQA8%2F%2BwAJQA9%2F%2BwAJQCC%2F9cAJQCD%2F9cAJQCE%2F9cAJQCF%2F9cAJQCG%2F9cAJQCH%2F9cAJQCf%2F%2BwAJQDM%2F64AJQDP%2F64AJgAm%2F9cAJgAq%2F9cAJgAy%2F9cAJgA0%2F9cAJgCJ%2F9cAJgCU%2F9cAJgCV%2F9cAJgCW%2F9cAJgCX%2F9cAJgCY%2F9cAJgCa%2F9cAJgDD%2F9cAJwAP%2F64AJwAR%2F64AJwAk%2F9cAJwA3%2F8MAJwA5%2F%2BwAJwA6%2F%2BwAJwA7%2F9cAJwA8%2F%2BwAJwA9%2F%2BwAJwCC%2F9cAJwCD%2F9cAJwCE%2F9cAJwCF%2F9cAJwCG%2F9cAJwCH%2F9cAJwCf%2F%2BwAJwDM%2F64AJwDP%2F64AKAAtAHsAKQAP%2F4UAKQAR%2F4UAKQAiACkAKQAk%2F9cAKQCC%2F9cAKQCD%2F9cAKQCE%2F9cAKQCF%2F9cAKQCG%2F9cAKQCH%2F9cAKQDM%2F4UAKQDP%2F4UALgAm%2F9cALgAq%2F9cALgAy%2F9cALgA0%2F9cALgCJ%2F9cALgCU%2F9cALgCV%2F9cALgCW%2F9cALgCX%2F9cALgCY%2F9cALgCa%2F9cALgDD%2F9cALwAF%2F1wALwAK%2F1wALwAm%2F9cALwAq%2F9cALwAy%2F9cALwA0%2F9cALwA3%2F9cALwA4%2F%2BwALwA5%2F9cALwA6%2F9cALwA8%2F8MALwCJ%2F9cALwCU%2F9cALwCV%2F9cALwCW%2F9cALwCX%2F9cALwCY%2F9cALwCa%2F9cALwCb%2F%2BwALwCc%2F%2BwALwCd%2F%2BwALwCe%2F%2BwALwCf%2F8MALwDD%2F9cALwDL%2F1wALwDO%2F1wAMgAP%2F64AMgAR%2F64AMgAk%2F9cAMgA3%2F8MAMgA5%2F%2BwAMgA6%2F%2BwAMgA7%2F9cAMgA8%2F%2BwAMgA9%2F%2BwAMgCC%2F9cAMgCD%2F9cAMgCE%2F9cAMgCF%2F9cAMgCG%2F9cAMgCH%2F9cAMgCf%2F%2BwAMgDM%2F64AMgDP%2F64AMwAP%2FvYAMwAR%2FvYAMwAk%2F5oAMwA7%2F9cAMwA9%2F%2BwAMwCC%2F5oAMwCD%2F5oAMwCE%2F5oAMwCF%2F5oAMwCG%2F5oAMwCH%2F5oAMwDM%2FvYAMwDP%2FvYANAAP%2F64ANAAR%2F64ANAAk%2F9cANAA3%2F8MANAA5%2F%2BwANAA6%2F%2BwANAA7%2F9cANAA8%2F%2BwANAA9%2F%2BwANACC%2F9cANACD%2F9cANACE%2F9cANACF%2F9cANACG%2F9cANACH%2F9cANACf%2F%2BwANADM%2F64ANADP%2F64ANwAP%2F4UANwAQ%2F64ANwAR%2F4UANwAiACkANwAk%2F3EANwAm%2F9cANwAq%2F9cANwAy%2F9cANwA0%2F9cANwA3ACkANwBE%2F1wANwBG%2F3EANwBH%2F3EANwBI%2F3EANwBK%2F3EANwBQ%2F5oANwBR%2F5oANwBS%2F3EANwBT%2F5oANwBU%2F3EANwBV%2F5oANwBW%2F4UANwBY%2F5oANwBZ%2F9cANwBa%2F9cANwBb%2F9cANwBc%2F9cANwBd%2F64ANwCC%2F3EANwCD%2F3EANwCE%2F3EANwCF%2F3EANwCG%2F3EANwCH%2F3EANwCJ%2F9cANwCU%2F9cANwCV%2F9cANwCW%2F9cANwCX%2F9cANwCY%2F9cANwCa%2F9cANwCi%2F3EANwCj%2F1wANwCk%2F1wANwCl%2F1wANwCm%2F1wANwCn%2F1wANwCo%2F1wANwCp%2F3EANwCq%2F3EANwCr%2F3EANwCs%2F3EANwCt%2F3EANwC0%2F3EANwC1%2F3EANwC2%2F3EANwC3%2F3EANwC4%2F3EANwC6%2F3EANwC7%2F5oANwC8%2F5oANwC9%2F5oANwC%2B%2F5oANwC%2F%2F9cANwDD%2F9cANwDE%2F3EANwDI%2F64ANwDJ%2F64ANwDM%2F4UANwDP%2F4UAOAAP%2F9cAOAAR%2F9cAOAAk%2F%2BwAOACC%2F%2BwAOACD%2F%2BwAOACE%2F%2BwAOACF%2F%2BwAOACG%2F%2BwAOACH%2F%2BwAOADM%2F9cAOADP%2F9cAOQAP%2F5oAOQAR%2F5oAOQAiACkAOQAk%2F64AOQAm%2F%2BwAOQAq%2F%2BwAOQAy%2F%2BwAOQA0%2F%2BwAOQBE%2F9cAOQBG%2F9cAOQBH%2F9cAOQBI%2F9cAOQBK%2F%2BwAOQBQ%2F%2BwAOQBR%2F%2BwAOQBS%2F9cAOQBT%2F%2BwAOQBU%2F9cAOQBV%2F%2BwAOQBW%2F%2BwAOQBY%2F%2BwAOQCC%2F64AOQCD%2F64AOQCE%2F64AOQCF%2F64AOQCG%2F64AOQCH%2F64AOQCJ%2F%2BwAOQCU%2F%2BwAOQCV%2F%2BwAOQCW%2F%2BwAOQCX%2F%2BwAOQCY%2F%2BwAOQCa%2F%2BwAOQCi%2F9cAOQCj%2F9cAOQCk%2F9cAOQCl%2F9cAOQCm%2F9cAOQCn%2F9cAOQCo%2F9cAOQCp%2F9cAOQCq%2F9cAOQCr%2F9cAOQCs%2F9cAOQCt%2F9cAOQC0%2F9cAOQC1%2F9cAOQC2%2F9cAOQC3%2F9cAOQC4%2F9cAOQC6%2F9cAOQC7%2F%2BwAOQC8%2F%2BwAOQC9%2F%2BwAOQC%2B%2F%2BwAOQDD%2F%2BwAOQDE%2F9cAOQDM%2F5oAOQDP%2F5oAOgAP%2F5oAOgAR%2F5oAOgAiACkAOgAk%2F64AOgAm%2F%2BwAOgAq%2F%2BwAOgAy%2F%2BwAOgA0%2F%2BwAOgBE%2F9cAOgBG%2F9cAOgBH%2F9cAOgBI%2F9cAOgBK%2F%2BwAOgBQ%2F%2BwAOgBR%2F%2BwAOgBS%2F9cAOgBT%2F%2BwAOgBU%2F9cAOgBV%2F%2BwAOgBW%2F%2BwAOgBY%2F%2BwAOgCC%2F64AOgCD%2F64AOgCE%2F64AOgCF%2F64AOgCG%2F64AOgCH%2F64AOgCJ%2F%2BwAOgCU%2F%2BwAOgCV%2F%2BwAOgCW%2F%2BwAOgCX%2F%2BwAOgCY%2F%2BwAOgCa%2F%2BwAOgCi%2F9cAOgCj%2F9cAOgCk%2F9cAOgCl%2F9cAOgCm%2F9cAOgCn%2F9cAOgCo%2F9cAOgCp%2F9cAOgCq%2F9cAOgCr%2F9cAOgCs%2F9cAOgCt%2F9cAOgC0%2F9cAOgC1%2F9cAOgC2%2F9cAOgC3%2F9cAOgC4%2F9cAOgC6%2F9cAOgC7%2F%2BwAOgC8%2F%2BwAOgC9%2F%2BwAOgC%2B%2F%2BwAOgDD%2F%2BwAOgDE%2F9cAOgDM%2F5oAOgDP%2F5oAOwAm%2F9cAOwAq%2F9cAOwAy%2F9cAOwA0%2F9cAOwCJ%2F9cAOwCU%2F9cAOwCV%2F9cAOwCW%2F9cAOwCX%2F9cAOwCY%2F9cAOwCa%2F9cAOwDD%2F9cAPAAP%2F4UAPAAR%2F4UAPAAiACkAPAAk%2F4UAPAAm%2F9cAPAAq%2F9cAPAAy%2F9cAPAA0%2F9cAPABE%2F5oAPABG%2F5oAPABH%2F5oAPABI%2F5oAPABK%2F9cAPABQ%2F8MAPABR%2F8MAPABS%2F5oAPABT%2F8MAPABU%2F5oAPABV%2F8MAPABW%2F64APABY%2F8MAPABd%2F9cAPACC%2F4UAPACD%2F4UAPACE%2F4UAPACF%2F4UAPACG%2F4UAPACH%2F4UAPACJ%2F9cAPACU%2F9cAPACV%2F9cAPACW%2F9cAPACX%2F9cAPACY%2F9cAPACa%2F9cAPACi%2F5oAPACj%2F5oAPACk%2F5oAPACl%2F5oAPACm%2F5oAPACn%2F5oAPACo%2F5oAPACp%2F5oAPACq%2F5oAPACr%2F5oAPACs%2F5oAPACt%2F5oAPAC0%2F5oAPAC1%2F5oAPAC2%2F5oAPAC3%2F5oAPAC4%2F5oAPAC6%2F5oAPAC7%2F8MAPAC8%2F8MAPAC9%2F8MAPAC%2B%2F8MAPADD%2F9cAPADE%2F5oAPADM%2F4UAPADP%2F4UAPQAm%2F%2BwAPQAq%2F%2BwAPQAy%2F%2BwAPQA0%2F%2BwAPQCJ%2F%2BwAPQCU%2F%2BwAPQCV%2F%2BwAPQCW%2F%2BwAPQCX%2F%2BwAPQCY%2F%2BwAPQCa%2F%2BwAPQDD%2F%2BwAPgAtALgARAAF%2F%2BwARAAK%2F%2BwARADL%2F%2BwARADO%2F%2BwARQAF%2F%2BwARQAK%2F%2BwARQBZ%2F9cARQBa%2F9cARQBb%2F9cARQBc%2F9cARQBd%2F%2BwARQC%2F%2F9cARQDL%2F%2BwARQDO%2F%2BwARgAFACkARgAKACkARgDLACkARgDOACkASAAF%2F%2BwASAAK%2F%2BwASABZ%2F9cASABa%2F9cASABb%2F9cASABc%2F9cASABd%2F%2BwASAC%2F%2F9cASADL%2F%2BwASADO%2F%2BwASQAFAHsASQAKAHsASQDLAHsASQDOAHsASwAF%2F%2BwASwAK%2F%2BwASwDL%2F%2BwASwDO%2F%2BwATgBG%2F9cATgBH%2F9cATgBI%2F9cATgBS%2F9cATgBU%2F9cATgCi%2F9cATgCp%2F9cATgCq%2F9cATgCr%2F9cATgCs%2F9cATgCt%2F9cATgC0%2F9cATgC1%2F9cATgC2%2F9cATgC3%2F9cATgC4%2F9cATgC6%2F9cATgDE%2F9cAUAAF%2F%2BwAUAAK%2F%2BwAUADL%2F%2BwAUADO%2F%2BwAUQAF%2F%2BwAUQAK%2F%2BwAUQDL%2F%2BwAUQDO%2F%2BwAUgAF%2F%2BwAUgAK%2F%2BwAUgBZ%2F9cAUgBa%2F9cAUgBb%2F9cAUgBc%2F9cAUgBd%2F%2BwAUgC%2F%2F9cAUgDL%2F%2BwAUgDO%2F%2BwAUwAF%2F%2BwAUwAK%2F%2BwAUwBZ%2F9cAUwBa%2F9cAUwBb%2F9cAUwBc%2F9cAUwBd%2F%2BwAUwC%2F%2F9cAUwDL%2F%2BwAUwDO%2F%2BwAVQAFAFIAVQAKAFIAVQBE%2F9cAVQBG%2F9cAVQBH%2F9cAVQBI%2F9cAVQBK%2F%2BwAVQBS%2F9cAVQBU%2F9cAVQCi%2F9cAVQCj%2F9cAVQCk%2F9cAVQCl%2F9cAVQCm%2F9cAVQCn%2F9cAVQCo%2F9cAVQCp%2F9cAVQCq%2F9cAVQCr%2F9cAVQCs%2F9cAVQCt%2F9cAVQC0%2F9cAVQC1%2F9cAVQC2%2F9cAVQC3%2F9cAVQC4%2F9cAVQC6%2F9cAVQDE%2F9cAVQDLAFIAVQDOAFIAVwAFACkAVwAKACkAVwDLACkAVwDOACkAWQAFAFIAWQAKAFIAWQAP%2F64AWQAR%2F64AWQAiACkAWQDLAFIAWQDM%2F64AWQDOAFIAWQDP%2F64AWgAFAFIAWgAKAFIAWgAP%2F64AWgAR%2F64AWgAiACkAWgDLAFIAWgDM%2F64AWgDOAFIAWgDP%2F64AWwBG%2F9cAWwBH%2F9cAWwBI%2F9cAWwBS%2F9cAWwBU%2F9cAWwCi%2F9cAWwCp%2F9cAWwCq%2F9cAWwCr%2F9cAWwCs%2F9cAWwCt%2F9cAWwC0%2F9cAWwC1%2F9cAWwC2%2F9cAWwC3%2F9cAWwC4%2F9cAWwC6%2F9cAWwDE%2F9cAXAAFAFIAXAAKAFIAXAAP%2F64AXAAR%2F64AXAAiACkAXADLAFIAXADM%2F64AXADOAFIAXADP%2F64AXgAtALgAggAF%2F3EAggAK%2F3EAggAm%2F9cAggAq%2F9cAggAtAQoAggAy%2F9cAggA0%2F9cAggA3%2F3EAggA5%2F64AggA6%2F64AggA8%2F4UAggCJ%2F9cAggCU%2F9cAggCV%2F9cAggCW%2F9cAggCX%2F9cAggCY%2F9cAggCa%2F9cAggCf%2F4UAggDD%2F9cAggDL%2F3EAggDO%2F3EAgwAF%2F3EAgwAK%2F3EAgwAm%2F9cAgwAq%2F9cAgwAtAQoAgwAy%2F9cAgwA0%2F9cAgwA3%2F3EAgwA5%2F64AgwA6%2F64AgwA8%2F4UAgwCJ%2F9cAgwCU%2F9cAgwCV%2F9cAgwCW%2F9cAgwCX%2F9cAgwCY%2F9cAgwCa%2F9cAgwCf%2F4UAgwDD%2F9cAgwDL%2F3EAgwDO%2F3EAhAAF%2F3EAhAAK%2F3EAhAAm%2F9cAhAAq%2F9cAhAAtAQoAhAAy%2F9cAhAA0%2F9cAhAA3%2F3EAhAA5%2F64AhAA6%2F64AhAA8%2F4UAhACJ%2F9cAhACU%2F9cAhACV%2F9cAhACW%2F9cAhACX%2F9cAhACY%2F9cAhACa%2F9cAhACf%2F4UAhADD%2F9cAhADL%2F3EAhADO%2F3EAhQAF%2F3EAhQAK%2F3EAhQAm%2F9cAhQAq%2F9cAhQAtAQoAhQAy%2F9cAhQA0%2F9cAhQA3%2F3EAhQA5%2F64AhQA6%2F64AhQA8%2F4UAhQCJ%2F9cAhQCU%2F9cAhQCV%2F9cAhQCW%2F9cAhQCX%2F9cAhQCY%2F9cAhQCa%2F9cAhQCf%2F4UAhQDD%2F9cAhQDL%2F3EAhQDO%2F3EAhgAF%2F3EAhgAK%2F3EAhgAm%2F9cAhgAq%2F9cAhgAtAQoAhgAy%2F9cAhgA0%2F9cAhgA3%2F3EAhgA5%2F64AhgA6%2F64AhgA8%2F4UAhgCJ%2F9cAhgCU%2F9cAhgCV%2F9cAhgCW%2F9cAhgCX%2F9cAhgCY%2F9cAhgCa%2F9cAhgCf%2F4UAhgDD%2F9cAhgDL%2F3EAhgDO%2F3EAhwAF%2F3EAhwAK%2F3EAhwAm%2F9cAhwAq%2F9cAhwAtAQoAhwAy%2F9cAhwA0%2F9cAhwA3%2F3EAhwA5%2F64AhwA6%2F64AhwA8%2F4UAhwCJ%2F9cAhwCU%2F9cAhwCV%2F9cAhwCW%2F9cAhwCX%2F9cAhwCY%2F9cAhwCa%2F9cAhwCf%2F4UAhwDD%2F9cAhwDL%2F3EAhwDO%2F3EAiAAtAHsAiQAm%2F9cAiQAq%2F9cAiQAy%2F9cAiQA0%2F9cAiQCJ%2F9cAiQCU%2F9cAiQCV%2F9cAiQCW%2F9cAiQCX%2F9cAiQCY%2F9cAiQCa%2F9cAiQDD%2F9cAigAtAHsAiwAtAHsAjAAtAHsAjQAtAHsAkgAP%2F64AkgAR%2F64AkgAk%2F9cAkgA3%2F8MAkgA5%2F%2BwAkgA6%2F%2BwAkgA7%2F9cAkgA8%2F%2BwAkgA9%2F%2BwAkgCC%2F9cAkgCD%2F9cAkgCE%2F9cAkgCF%2F9cAkgCG%2F9cAkgCH%2F9cAkgCf%2F%2BwAkgDM%2F64AkgDP%2F64AlAAP%2F64AlAAR%2F64AlAAk%2F9cAlAA3%2F8MAlAA5%2F%2BwAlAA6%2F%2BwAlAA7%2F9cAlAA8%2F%2BwAlAA9%2F%2BwAlACC%2F9cAlACD%2F9cAlACE%2F9cAlACF%2F9cAlACG%2F9cAlACH%2F9cAlACf%2F%2BwAlADM%2F64AlADP%2F64AlQAP%2F64AlQAR%2F64AlQAk%2F9cAlQA3%2F8MAlQA5%2F%2BwAlQA6%2F%2BwAlQA7%2F9cAlQA8%2F%2BwAlQA9%2F%2BwAlQCC%2F9cAlQCD%2F9cAlQCE%2F9cAlQCF%2F9cAlQCG%2F9cAlQCH%2F9cAlQCf%2F%2BwAlQDM%2F64AlQDP%2F64AlgAP%2F64AlgAR%2F64AlgAk%2F9cAlgA3%2F8MAlgA5%2F%2BwAlgA6%2F%2BwAlgA7%2F9cAlgA8%2F%2BwAlgA9%2F%2BwAlgCC%2F9cAlgCD%2F9cAlgCE%2F9cAlgCF%2F9cAlgCG%2F9cAlgCH%2F9cAlgCf%2F%2BwAlgDM%2F64AlgDP%2F64AlwAP%2F64AlwAR%2F64AlwAk%2F9cAlwA3%2F8MAlwA5%2F%2BwAlwA6%2F%2BwAlwA7%2F9cAlwA8%2F%2BwAlwA9%2F%2BwAlwCC%2F9cAlwCD%2F9cAlwCE%2F9cAlwCF%2F9cAlwCG%2F9cAlwCH%2F9cAlwCf%2F%2BwAlwDM%2F64AlwDP%2F64AmAAP%2F64AmAAR%2F64AmAAk%2F9cAmAA3%2F8MAmAA5%2F%2BwAmAA6%2F%2BwAmAA7%2F9cAmAA8%2F%2BwAmAA9%2F%2BwAmACC%2F9cAmACD%2F9cAmACE%2F9cAmACF%2F9cAmACG%2F9cAmACH%2F9cAmACf%2F%2BwAmADM%2F64AmADP%2F64AmgAP%2F64AmgAR%2F64AmgAk%2F9cAmgA3%2F8MAmgA5%2F%2BwAmgA6%2F%2BwAmgA7%2F9cAmgA8%2F%2BwAmgA9%2F%2BwAmgCC%2F9cAmgCD%2F9cAmgCE%2F9cAmgCF%2F9cAmgCG%2F9cAmgCH%2F9cAmgCf%2F%2BwAmgDM%2F64AmgDP%2F64AmwAP%2F9cAmwAR%2F9cAmwAk%2F%2BwAmwCC%2F%2BwAmwCD%2F%2BwAmwCE%2F%2BwAmwCF%2F%2BwAmwCG%2F%2BwAmwCH%2F%2BwAmwDM%2F9cAmwDP%2F9cAnAAP%2F9cAnAAR%2F9cAnAAk%2F%2BwAnACC%2F%2BwAnACD%2F%2BwAnACE%2F%2BwAnACF%2F%2BwAnACG%2F%2BwAnACH%2F%2BwAnADM%2F9cAnADP%2F9cAnQAP%2F9cAnQAR%2F9cAnQAk%2F%2BwAnQCC%2F%2BwAnQCD%2F%2BwAnQCE%2F%2BwAnQCF%2F%2BwAnQCG%2F%2BwAnQCH%2F%2BwAnQDM%2F9cAnQDP%2F9cAngAP%2F9cAngAR%2F9cAngAk%2F%2BwAngCC%2F%2BwAngCD%2F%2BwAngCE%2F%2BwAngCF%2F%2BwAngCG%2F%2BwAngCH%2F%2BwAngDM%2F9cAngDP%2F9cAnwAP%2F4UAnwAR%2F4UAnwAiACkAnwAk%2F4UAnwAm%2F9cAnwAq%2F9cAnwAy%2F9cAnwA0%2F9cAnwBE%2F5oAnwBG%2F5oAnwBH%2F5oAnwBI%2F5oAnwBK%2F9cAnwBQ%2F8MAnwBR%2F8MAnwBS%2F5oAnwBT%2F8MAnwBU%2F5oAnwBV%2F8MAnwBW%2F64AnwBY%2F8MAnwBd%2F9cAnwCC%2F4UAnwCD%2F4UAnwCE%2F4UAnwCF%2F4UAnwCG%2F4UAnwCH%2F4UAnwCJ%2F9cAnwCU%2F9cAnwCV%2F9cAnwCW%2F9cAnwCX%2F9cAnwCY%2F9cAnwCa%2F9cAnwCi%2F5oAnwCj%2F5oAnwCk%2F5oAnwCl%2F5oAnwCm%2F5oAnwCn%2F5oAnwCo%2F5oAnwCp%2F5oAnwCq%2F5oAnwCr%2F5oAnwCs%2F5oAnwCt%2F5oAnwC0%2F5oAnwC1%2F5oAnwC2%2F5oAnwC3%2F5oAnwC4%2F5oAnwC6%2F5oAnwC7%2F8MAnwC8%2F8MAnwC9%2F8MAnwC%2B%2F8MAnwDD%2F9cAnwDE%2F5oAnwDM%2F4UAnwDP%2F4UAoAAP%2FvYAoAAR%2FvYAoAAk%2F5oAoAA7%2F9cAoAA9%2F%2BwAoACC%2F5oAoACD%2F5oAoACE%2F5oAoACF%2F5oAoACG%2F5oAoACH%2F5oAoADM%2FvYAoADP%2FvYAogAF%2F%2BwAogAK%2F%2BwAogDL%2F%2BwAogDO%2F%2BwAowAF%2F%2BwAowAK%2F%2BwAowDL%2F%2BwAowDO%2F%2BwApAAF%2F%2BwApAAK%2F%2BwApADL%2F%2BwApADO%2F%2BwApQAF%2F%2BwApQAK%2F%2BwApQDL%2F%2BwApQDO%2F%2BwApgAF%2F%2BwApgAK%2F%2BwApgDL%2F%2BwApgDO%2F%2BwApwAF%2F%2BwApwAK%2F%2BwApwDL%2F%2BwApwDO%2F%2BwAqgAF%2F%2BwAqgAK%2F%2BwAqgBZ%2F9cAqgBa%2F9cAqgBb%2F9cAqgBc%2F9cAqgBd%2F%2BwAqgC%2F%2F9cAqgDL%2F%2BwAqgDO%2F%2BwAqwAF%2F%2BwAqwAK%2F%2BwAqwBZ%2F9cAqwBa%2F9cAqwBb%2F9cAqwBc%2F9cAqwBd%2F%2BwAqwC%2F%2F9cAqwDL%2F%2BwAqwDO%2F%2BwArAAF%2F%2BwArAAK%2F%2BwArABZ%2F9cArABa%2F9cArABb%2F9cArABc%2F9cArABd%2F%2BwArAC%2F%2F9cArADL%2F%2BwArADO%2F%2BwArQAF%2F%2BwArQAK%2F%2BwArQBZ%2F9cArQBa%2F9cArQBb%2F9cArQBc%2F9cArQBd%2F%2BwArQC%2F%2F9cArQDL%2F%2BwArQDO%2F%2BwAsgAF%2F%2BwAsgAK%2F%2BwAsgBZ%2F9cAsgBa%2F9cAsgBb%2F9cAsgBc%2F9cAsgBd%2F%2BwAsgC%2F%2F9cAsgDL%2F%2BwAsgDO%2F%2BwAtAAF%2F%2BwAtAAK%2F%2BwAtABZ%2F9cAtABa%2F9cAtABb%2F9cAtABc%2F9cAtABd%2F%2BwAtAC%2F%2F9cAtADL%2F%2BwAtADO%2F%2BwAtQAF%2F%2BwAtQAK%2F%2BwAtQBZ%2F9cAtQBa%2F9cAtQBb%2F9cAtQBc%2F9cAtQBd%2F%2BwAtQC%2F%2F9cAtQDL%2F%2BwAtQDO%2F%2BwAtgAF%2F%2BwAtgAK%2F%2BwAtgBZ%2F9cAtgBa%2F9cAtgBb%2F9cAtgBc%2F9cAtgBd%2F%2BwAtgC%2F%2F9cAtgDL%2F%2BwAtgDO%2F%2BwAuAAF%2F9cAuAAK%2F9cAuADL%2F9cAuADO%2F9cAugAF%2F%2BwAugAK%2F%2BwAugBZ%2F9cAugBa%2F9cAugBb%2F9cAugBc%2F9cAugBd%2F%2BwAugC%2F%2F9cAugDL%2F%2BwAugDO%2F%2BwAvwAFAFIAvwAKAFIAvwAP%2F64AvwAR%2F64AvwAiACkAvwDLAFIAvwDM%2F64AvwDOAFIAvwDP%2F64AwAAF%2F%2BwAwAAK%2F%2BwAwABZ%2F9cAwABa%2F9cAwABb%2F9cAwABc%2F9cAwABd%2F%2BwAwAC%2F%2F9cAwADL%2F%2BwAwADO%2F%2BwAwQAFAFIAwQAKAFIAwQAP%2F64AwQAR%2F64AwQAiACkAwQDLAFIAwQDM%2F64AwQDOAFIAwQDP%2F64AwwAtAHsAyAA3%2F64AyQA3%2F64AygAk%2F3EAygA3ACkAygA5ACkAygA6ACkAygA8ABQAygBE%2F64AygBG%2F4UAygBH%2F4UAygBI%2F4UAygBK%2F8MAygBQ%2F8MAygBR%2F8MAygBS%2F4UAygBT%2F8MAygBU%2F4UAygBV%2F8MAygBW%2F8MAygBY%2F8MAygCC%2F3EAygCD%2F3EAygCE%2F3EAygCF%2F3EAygCG%2F3EAygCH%2F3EAygCfABQAygCi%2F4UAygCj%2F64AygCk%2F64AygCl%2F64AygCm%2F64AygCn%2F64AygCo%2F64AygCp%2F4UAygCq%2F4UAygCr%2F4UAygCs%2F4UAygCt%2F4UAygC0%2F4UAygC1%2F4UAygC2%2F4UAygC3%2F4UAygC4%2F4UAygC6%2F4UAygC7%2F8MAygC8%2F8MAygC9%2F8MAygC%2B%2F8MAygDE%2F4UAywAk%2F3EAywA3ACkAywA5ACkAywA6ACkAywA8ABQAywBE%2F64AywBG%2F4UAywBH%2F4UAywBI%2F4UAywBK%2F8MAywBQ%2F8MAywBR%2F8MAywBS%2F4UAywBT%2F8MAywBU%2F4UAywBV%2F8MAywBW%2F8MAywBY%2F8MAywCC%2F3EAywCD%2F3EAywCE%2F3EAywCF%2F3EAywCG%2F3EAywCH%2F3EAywCfABQAywCi%2F4UAywCj%2F64AywCk%2F64AywCl%2F64AywCm%2F64AywCn%2F64AywCo%2F64AywCp%2F4UAywCq%2F4UAywCr%2F4UAywCs%2F4UAywCt%2F4UAywC0%2F4UAywC1%2F4UAywC2%2F4UAywC3%2F4UAywC4%2F4UAywC6%2F4UAywC7%2F8MAywC8%2F8MAywC9%2F8MAywC%2B%2F8MAywDE%2F4UAzAAm%2F5oAzAAq%2F5oAzAAy%2F5oAzAA0%2F5oAzAA3%2F3EAzAA4%2F9cAzAA5%2F4UAzAA6%2F4UAzAA8%2F4UAzACJ%2F5oAzACU%2F5oAzACV%2F5oAzACW%2F5oAzACX%2F5oAzACY%2F5oAzACa%2F5oAzACb%2F9cAzACc%2F9cAzACd%2F9cAzACe%2F9cAzACf%2F4UAzADD%2F5oAzQAk%2F3EAzQA3ACkAzQA5ACkAzQA6ACkAzQA8ABQAzQBE%2F64AzQBG%2F4UAzQBH%2F4UAzQBI%2F4UAzQBK%2F8MAzQBQ%2F8MAzQBR%2F8MAzQBS%2F4UAzQBT%2F8MAzQBU%2F4UAzQBV%2F8MAzQBW%2F8MAzQBY%2F8MAzQCC%2F3EAzQCD%2F3EAzQCE%2F3EAzQCF%2F3EAzQCG%2F3EAzQCH%2F3EAzQCfABQAzQCi%2F4UAzQCj%2F64AzQCk%2F64AzQCl%2F64AzQCm%2F64AzQCn%2F64AzQCo%2F64AzQCp%2F4UAzQCq%2F4UAzQCr%2F4UAzQCs%2F4UAzQCt%2F4UAzQC0%2F4UAzQC1%2F4UAzQC2%2F4UAzQC3%2F4UAzQC4%2F4UAzQC6%2F4UAzQC7%2F8MAzQC8%2F8MAzQC9%2F8MAzQC%2B%2F8MAzQDE%2F4UAzwAm%2F5oAzwAq%2F5oAzwAy%2F5oAzwA0%2F5oAzwA3%2F3EAzwA4%2F9cAzwA5%2F4UAzwA6%2F4UAzwA8%2F4UAzwCJ%2F5oAzwCU%2F5oAzwCV%2F5oAzwCW%2F5oAzwCX%2F5oAzwCY%2F5oAzwCa%2F5oAzwCb%2F9cAzwCc%2F9cAzwCd%2F9cAzwCe%2F9cAzwCf%2F4UAzwDD%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%2F%2FQAAP9mAGYAAAAAAAAAAAAAAAAAAAAAAAAAAADWAAAAAQACAAMABAAFAAYABwAIAAkACgALAAwADQAOAA8AEAARABIAEwAUABUAFgAXABgAGQAaABsAHAAdAB4AHwAgACEAIgAjACQAJQAmACcAKAApACoAKwAsAC0ALgAvADAAMQAyADMANAA1ADYANwA4ADkAOgA7ADwAPQA%2BAD8AQABBAEIAQwBEAEUARgBHAEgASQBKAEsATABNAE4ATwBQAFEAUgBTAFQAVQBWAFcAWABZAFoAWwBcAF0AXgBfAGAAYQCsAKMAhACFAL0AlgDoAIYAjgCLAJ0AqQCkAQIAigEDAIMAkwDyAPMAjQCXAIgAwwDeAPEAngCqAPUA9AD2AKIArQDJAMcArgBiAGMAkABkAMsAZQDIAMoAzwDMAM0AzgDpAGYA0wDQANEArwBnAPAAkQDWANQA1QBoAOsA7QCJAGoAaQBrAG0AbABuAKAAbwBxAHAAcgBzAHUAdAB2AHcA6gB4AHoAeQB7AH0AfAC4AKEAfwB%2BAIAAgQDsAO4AugDXALAAsQDYAN0A2QCyALMAtgC3AMQAtAC1AMUAhwC%2BAL8AvAEEAQUHdW5pMDBBRAlvdmVyc2NvcmUMZm91cnN1cGVyaW9yBEV1cm8AAAABAAIACAAK%2F%2F8ADwAAAAEAAAAAyYlvMQAAAADJY0iWAAAAAMnt2GQ%3D%29%20format%28%27truetype%27%29%3B%0A%7D%0A%40font%2Dface%20%7B%0Afont%2Dfamily%3A%20%27Source%20Code%20Pro%27%3B%0Afont%2Dstyle%3A%20normal%3B%0Afont%2Dweight%3A%20400%3B%0Asrc%3A%20url%28data%3Aapplication%2Fx%2Dfont%2Dtruetype%3Bbase64%2CAAEAAAAPAIAAAwBwRkZUTWaiaLcAAKVwAAAAHE9TLzJyvPgMAAABeAAAAGBjbWFwVIOo9QAAA8QAAAICY3Z0IAC%2FC3EAAAeAAAAAImZwZ20GWZw3AAAFyAAAAXNnYXNw%2F%2F8AAwAApWgAAAAIZ2x5ZrbD8a4AAAmIAABdUGhlYWT7xXV0AAAA%2FAAAADZoaGVhBi4C3QAAATQAAAAkaG10eDZGLdMAAAHYAAAB6mxvY2F%2FBGjeAAAHpAAAAeJtYXhwAwgBUgAAAVgAAAAgbmFtZXFCsfwAAGbYAAA7ZHBvc3QKYvRKAACiPAAAAylwcmVwJrMjsAAABzwAAABBAAEAAAABBFos1IC0Xw889QAfA%2BgAAAAAzR8W4gAAAADNHxbi%2F%2F%2F%2FBgJVA2sAAAAIAAIAAAAAAAAAAQAAA9j%2B7wAAA%2Bj%2F%2FwAAAlUAAQAAAAAAAAAAAAAAAAAAAAUAAQAAAPAAVgAEAEgABgABAAAAAAAKAAACAACyAAMAAQADAlgBkAAFAAACigJYAAAASwKKAlgAAAFeADIBIAAAAgsFCQMEAwICBCAAAAcAABgBAAAAAAAAAABBREJFAEAADSIVAu7%2FBgAAA9gBEWAAAZMAAAAAAeYCkAAAACAAAQPoAAAAAAAAAU0AAAAAAAACWAAAAAAA4wCDAFcAVQAcACoA9QDQAHoAVABVAMUAVQDbAGMARwBiAEUAOQAnADgATQBGAEQAQwDbAMUAeABVAGsAbQAxACAAZwBCAFUAcwCHADUATwBfAFEAYgCGAFEAUwAwAGYAMQBkAEMAKgBPACsACgA2ACYAQQDiAGMAYwBvADwAuQBRAF0AUAA8AEUAZwBIAF0AWgA3AGoAUQA8AF0APABdADwAkgBIAEUATQAzAAgAQAAxAEcAeAEHAGMATAAAAOMAcQBNADoANQEHAFsAlgAeAKcAUwBVAFUAcACxAK8AVQCuAKwA6wBNAEgA2wDdANAAjgBhABwAHAAnAHsAIAAgACAAIAAgACD%2F%2FwBCAHMAcwBzAHMAXwBfAF8AXwAQAFMAMAAwADAAMAAwAGYALQBPAE8ATwBPACYAZQBYAFEAUQBRAFEAUQBRABEAUABFAEUARQBFAFoAWgBaAFoAPABdADwAPAA8ADwAPABVADwATQBNAE0ATQAxAF0AMQBaACEACwCoAM8AngC5AOsAqACeALEAlgDPANcApwCOAFAAFADRANkA2QBfAGcAZwCXAMUA0wAcAKwAOgBVABwAoQDQAK0ArACsAKkA%2BQCkAJsApQDPANIAAAAAAAMAAAADAAAAHAABAAAAAAD8AAMAAQAAABwABADgAAAANAAgAAQAFAAAAA0AfgD%2FATEBUwLGAtoC3AMEAwgDCgMnHUMdUiAUIBogHiAiIDogRCB0IKwiEiIV%2F%2F8AAAAAAA0AIACgATEBUgLGAtoC3AMAAwgDCgMnHUMdUiATIBggHCAiIDkgRCB0IKwiEiIV%2F%2F8AA%2F%2F3%2F%2BX%2FxP%2BT%2F3P%2BAf3u%2Fe39yv3H%2Fcb9quOP44HgweC%2B4L3guuCk4JvgbOA13tDezgABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQYAAAMAAAAAAAAAAQIAAAAEAAAAAAAAAAAAAAAAAAAAAQAABQYHCAkKCwwNDg8QERITFBUWFxgZGhscHR4fICEiIyQlJicoKSorLC0uLzAxMjM0NTY3ODk6Ozw9Pj9AQUJDREVGR0hJSktMTU5PUFFSU1RVVldYWVpbXF1eX2BhYmMAiImLjZWaoKWkpqinqautrK6vsbCys7W3tri6ub69v8AAdGZna9x6o3JtAHhsAIqcAHUAAGl5AAAAAABufgCqvINlcAAAAABvfwBkhIeZxcbU1dna1te7AMMA3%2BHd3gAAAHvY2wCGjoWPjJGSk5CXmACWnp%2BdxMfJcwAAyHwAAAAAALgAACxLuAAJUFixAQGOWbgB%2F4W4AEQduQAJAANfXi24AAEsICBFaUSwAWAtuAACLLgAASohLbgAAywgRrADJUZSWCNZIIogiklkiiBGIGhhZLAEJUYgaGFkUlgjZYpZLyCwAFNYaSCwAFRYIbBAWRtpILAAVFghsEBlWVk6LbgABCwgRrAEJUZSWCOKWSBGIGphZLAEJUYgamFkUlgjilkv%2FS24AAUsSyCwAyZQWFFYsIBEG7BARFkbISEgRbDAUFiwwEQbIVlZLbgABiwgIEVpRLABYCAgRX1pGESwAWAtuAAHLLgABiotuAAILEsgsAMmU1iwQBuwAFmKiiCwAyZTWCMhsICKihuKI1kgsAMmU1gjIbgAwIqKG4ojWSCwAyZTWCMhuAEAioobiiNZILADJlNYIyG4AUCKihuKI1kguAADJlNYsAMlRbgBgFBYIyG4AYAjIRuwAyVFIyEjIVkbIVlELbgACSxLU1hFRBshIVktALAAKwCyAQECKwGyAgECKwG3AkA2KiEUAAgrALcBTUAyJBcACCsAsgMHByuwACBFfWkYREuwYFJYsAEbsABZsAGOAAAAABQARABWAAAADP8zAAwB5gAMAj4ADAJ%2BAAwCkAAMAsgADAAAAAAAAAAAAAAAAAAAAAAAOABEALoBJAE0AeYB%2FAIeAj4CdAKYAr4CxgLoAwIDZAOcA%2B4EYASyBRgFjAXCBkgGvAbIBtQHBgcSB0QHlggMCFAItAkECUIJgAm2ChYKUgqICsQLFAs6C5AL4Aw0DH4M8A1EDbIN3g4gDlgOuA8UD1IPiA%2BmD8AP3hAIEBwQJBCqESYRdhHuEkwSnBNqE8IUABRWFKYU3hViFboWDhaIFwAXTBeyGAIYVhiQGQIZYBm%2BGfQaVhpqGswbChsKGzgbohwKHGQcxhzkHXAdeB4AHggeFB4qHjIeqh6yHu4fLB82H0AfSB%2B%2BH%2FAf%2BiACIAwgFCAgIDAgQCBQIKAgrCC4IMQg0CDcIOghQiFOIVohZiFyIX4hiiGWIaIhriH%2BIgoiFiIiIi4iOiJGInQi%2FCMIIxQjICMsIzgjfCP4JAQkECQcJCgkNCRAJPglBCUQJRwlKCU0JUAlTCVYJWQl8CX8JggmFCYgJiwmOCZ4JwAnDCcYJyQnMCc8J7YnwifqKDwo5CjsKPQo%2FCkOKSIpQil6KY4pwin0KiIqdiqyKsYq2isAKyQrLis6K0YrVCt6K5IrqivGK9AsTixiLGospCzGLQQtWC2SLaQtuC3YLhQuSC56LqgAAAACAOP%2F9AF1Ap4ABQARAC0AuAAARVi4AAEvG7kAAQANPlm4AABFWLgADy8buQAPAAM%2BWbgACdy4AAXcMDEBJzMHAyMHNDYzMhYVFAYjIiYBBgJQAgo4LSseHisrHh4rAkBeXv6opiMpKSMkKioAAAD%2F%2FwCDAWAB1gKvEiYADI4AEAYADHMAAAAAAgBXAAACBwKKABsAHwCLALgAAEVYuAAILxu5AAgACz5ZuAAARVi4AAwvG7kADAALPlm4AABFWLgAGy8buQAbAAM%2BWbgAAEVYuAAXLxu5ABcAAz5ZuwACAAEAAQAEK7sABgABAAUABCu4AAYQuAAK0LgADtC4AAUQuAAe0LgAEdC4AAIQuAAf0LgAEtC4AAEQuAAZ0LgAFdAwMTcjNTM3IzUzNzMHMzczBzMVIwczFSMHIzcjByMTNyMHpk9WE1VbGDUXhBg1F1FXE1ZdGDYZhRg22ROFEsw5lDq3t7e3OpQ5zMzMAQWUlAAAAAABAFX%2FkgIAAuwAMQBHALgAFi%2B4ACwvuAAr3LkABQAB9LgAFhC4ABfcugAIABcAKxESObgAFNC4ABcQuQAeAAH0ugAhACsAFxESObgAKxC4AC7QMDEBLgMjIgYVFB4EFRQOAgcVIzUuASc3HgEzMjY1NC4ENTQ2NzUzFR4BFwHDER8iKBkzOy9HUkcvGS9BJzw4ZCMnJls5PD0vRlNGL1lJPDdKHgHtDRUPCC0mHCQeHio8LiA3KRsEkpEFLB05GykxJh8pIB4pOSw%2FUAiEgwUqHQAA%2F%2F8AHP%2F0Aj0CihInAOT%2FewFNECYA3wAAEAcA5ACGAAAAAwAq%2F%2FQCQQKcAA0AGwBHAJAAuAAARVi4ADMvG7kAMwANPlm4AABFWLgAIS8buQAhAAM%2BWbgAAEVYuAAcLxu5ABwAAz5ZuAAhELkABQAB9LoACAAhADMREjm6ABEAMwAhERI5uAARELgAK9C4AAvQuAAzELkAGQAB9LgACBC4AB7QuAARELkAOwAB9LgAHhC4AEXQuAA%2B0LgAHBC4AEfQMDE3FB4CMzI2Ny4BJw4BExQWFz4DNTQmIyIGASYnDgEjIi4CNTQ%2BAjcuATU0PgIzMhYVFA4CBx4BFz4BNzMOAQcWF3oUIi4aHzoaMFUiICpGEA4VJR0QGyEjJgFqQUgkVzgsSDMdFCMsGBUXFSU1IT1CGSgyGiBTLRwpDkwSNCQ8Na8bLSARHBgqZDYcPQEtGzoeDx8hJRYdKzb9yRQ3IygbMEMoIDYtJxIpTyMhOCoYSDogNC8pFDNeJyhfOUF2NC4RAAABAPUBYAFjAq8ABQALALoAAgAEAAMrMDETJzMPASP3Am4CGTgCQW5u4QAAAAEA0P9QAd4C3AAOAAsAugAGAAAAAyswMQUuATU0NjcXDgEVFBYXBwGxaHl5aC1lX19lLbBR5JGR5FEqVch%2Ff8hVKgAAAQB6%2F1ABiALcAA0ACwC6AAcADQADKzAxFz4BNTQmJzceARUUBgd6ZV9fZS1oeXlohlXIf3%2FIVSpR5JGR5FEAAAEAVABvAgQCLAAOAC8AuAAOL7oAAQAOAAUREjm4AAEQuQAEAAH0uAAH0LgAARC4AArQuAAOELgADNAwMT8BJzcXNzMXNxcHFwcnB4psohCnCTAJpxCibCp4eI2lRi43vb03LkalHp%2BfAAAAAAEAVQBoAgMCLAALAB0AuwACAAEAAQAEK7gAAhC4AAbQuAABELgACdAwMQEjNTM1MxUzFSMVIwELtrZCtrZCASs%2Bw8M%2BwwAAAAEAxf8rAYwAmwASAAsAugAMAAYAAyswMRc%2BATcOASMiJjU0NjMyFhUUBgfFPj4CBQkFIC4wIC0tXVOhHE88AQElJiUnRTtYeR8AAP%2F%2FAFUBKwIDAWkSBgDiAAAAAQDb%2F%2FQBfQCdAAsAGAC4AABFWLgACS8buQAJAAM%2BWbgAA9wwMTc0NjMyFhUUBiMiJtsvIiIvLyIiL0gmLy8mJi4uAAABAGP%2FYAH1AsYAAwAYALgAAEVYuAACLxu5AAIADz5ZuAAA3DAxFyMBM61KAUhKoANmAAAAAwBH%2F%2FQCEQKKAAsAGwAnAEsAuAAARVi4AAYvG7kABgALPlm4AABFWLgAAC8buQAAAAM%2BWbgABhC5AAwAAfS4AAAQuQAUAAH0ugAcABQADBESObgAHC%2B4ACLcMDEFIiY1NDYzMhYVFAYDIg4CFRQWMzI2NTQuAgMiJjU0NjMyFhUUBgEsa3p6a2t6emshOCkWVUNDVRYpOCEZJSUZGSUlDK2goaiooaCtAlQeQWNFiYKCiUVjQR7%2BvSMgHyMjHyAjAAAAAAEAYgAAAhACfgAMAD0AuAAARVi4AAovG7kACgALPlm4AABFWLgAAi8buQACAAM%2BWbkAAwAB9LgAANC4AAoQuAAF0LkABwAB9DAxJRUhNTMRIzU%2BATczEQIQ%2FlK1iDNMHj1EREQB1jUIFxD9xgAAAAABAEUAAAIKAooAHwBDALgAAEVYuAAPLxu5AA8ACz5ZuAAARVi4AB4vG7kAHgADPlm5ABwAAfS4AADQugAFAA8AHhESObgADxC5AAgAAfQwMTc%2BAzU0JiMiBgcnPgEzMh4CFRQOAgc%2BATsBFSFJUX1VLERHLU0fLytjRDBNNh0rTmxBHT0d0v4%2FMUh0YVQoN0YtIC8sNRsxRiotW2FpOwIERwAAAAEAOf%2F0AgYCigAzAFMAuAAARVi4AB0vG7kAHQALPlm4AABFWLgAMC8buQAwAAM%2BWbkAAwAB9LoADQAdADAREjm4AA0vuQAOAAH0uAAdELkAFgAB9LoAJgANAA4REjkwMTceATMyPgI1NC4CIzUyPgI1NCYjIgYHJz4BMzIeAhUUBgcVHgMVFA4CIyImJ2MgWT4hOCkXGThYPzlPMhdHOy1QICwoZj4tTTkgTDwgOSwZJD9UMFNwI4QeLhEeKxscLyISPxIgLBkvNiQdNCMtFik8JzpKFAQHGyk2ISpELxk3IwAAAAIAJwAAAiECfgAJABQAWQC4AABFWLgAES8buQARAAs%2BWbgAAEVYuAANLxu5AA0AAz5ZuwAOAAEAAAAEK7gAERC5AAQAAfS4AAAQuAAJ0LgADhC4AAvQuAAJELgAENC4AAAQuAAT0DAxJTU%2BATcjDgEPAQUjFSM1ITUBMxEzAXABAgIFDyIQrQGfY07%2BtwE%2FWGPyxho9GhcvF9pCsLA3AZf%2BdAAAAQA4%2F%2FQCCgJ%2BACgAVQC4AABFWLgAEi8buQASAAs%2BWbgAAEVYuAAjLxu5ACMAAz5ZuwAZAAEADQAEK7gAIxC5AAUAAfS6ABYAIwASERI5uAAWELgAEdC4ABIQuQAUAAH0MDE3HgMzMj4CNTQmIyIGBycTIRUhBz4BMzIeAhUUDgIjIi4CJ2EQJCs1ICI7LBlVSCg4IiwVAWn%2B4BEcNSUuUDsiJ0JVLitFNy0SgQ4bFAwVJjYhQkoUExwBM0e9DA4YMUs0NFA3HQ8YHxEAAgBN%2F%2FQCFgKKAA0AMABXALgAAEVYuAAtLxu5AC0ACz5ZuAAARVi4ACMvG7kAIwADPlm7AAgAAQAZAAQruAAjELkAAAAB9LoAFgAjAC0REjm4ABYQuQALAAH0uAAtELkAEQAB9DAxJTI%2BAjU0JiMiBgceARMuASMiDgIHPgEzMh4CFRQOAiMiLgI1ND4CMzIWFwFBHDIkFUZCJlQpCVXhGUIkJkY1IQEmXzAsSTUdIzpNKzRZQiUsSmE0O1cgNRQlMyBCRScvXWAB3hcbHEBpTSYtGTFKMS5LNh4mTXNNYIdVJycdAAAAAAEARgAAAhQCfgAPADMAuAAARVi4AAcvG7kABwALPlm4AABFWLgAAC8buQAAAAM%2BWbgABxC5AAUAAfS4AAnQMDEzPgM3ITUhFQ4DByPiBBoyTTf%2BkAHOP1IyFgNWW5WGfkNHM0iEiZheAAAAAAMARP%2F0AhMCigANABoAQABXALgAAEVYuAApLxu5ACkACz5ZuAAARVi4ADwvG7kAPAADPlm5AAMAAfS4ACkQuQATAAH0ugALAAMAExESObgACy%2B4ADHQuAAxL7gADty4AAsQuAAg3DAxNxQWMzI2NTQuAicOATc2NTQmIyIGFRQeAgc0PgI3NS4BNTQ%2BAjMyHgIVFAYHFR4DFRQOAiMiLgKPV0pITB82SSovPtFQQj82QhouPfgYJjEaKDkdNUgrL0kzGzkoGi4iEx86VTc2VzwhqzZEPjIhLSAZDhpBgTpGMEE4Lx0pIBnEITQqHwwEGUkzJTwrGBktPyUtTxwEDR4mMyIkPi4aGi9AAAACAEP%2F9AIMAooADQAwAFcAuAAARVi4ACMvG7kAIwALPlm4AABFWLgALS8buQAtAAM%2BWbsAAAABABkABCu6ABYALQAjERI5uAAWELkAAwAB9LgAIxC5AAYAAfS4AC0QuQARAAH0MDEBMjY3LgEjIg4CFRQWBx4BMzI%2BAjcOASMiLgI1ND4CMzIeAhUUDgIjIiYnARklVCoKU0cdMSQVRVkYQiUmRTUgAiddMSxJNB0iO00qNFpCJS1KYDQ7VyABNicuXmAUJTQfQkXLFxwcQWhNJiwZMUoxLks2HiZNc01gh1UnJh0AAAD%2F%2FwDb%2F%2FQBfQIDEicAEwAAAWYQBgATAAD%2F%2FwDF%2FysBjAIDEicAEwAAAWYQBgARAAAAAQB4ADAB7QJoAAcAOwC7AAAAAQAHAAQruAAAELgAAtC4AAIvuQABAAH0ugAEAAAABxESObgABxC4AAXQuAAFL7kABgAB9DAxEyUVBRUFFSV4AXX%2B0wEt%2FosBa%2F1PywTLT%2F0A%2F%2F8AVQDBAgMB1BImAOIAaxAGAOIAlgAAAAEAawAwAeACaAAHADsAuwAHAAEAAAAEK7gAABC4AALQuAACL7kAAQAB9LoABAAHAAAREjm4AAcQuAAF0LgABS%2B5AAYAAfQwMQEFNSU1JTUFAeD%2BiwEt%2FtMBdQEt%2FU%2FLBMtP%2FQACAG3%2F9AHfAqoAHQApACoAuAAARVi4ACcvG7kAJwADPlm7ABEAAQAKAAQruAAnELgAIdy4AADcMDE3Jj4ENTQmIyIGByc%2BATMyHgIVFA4EFwc0NjMyFhUUBiMiJvIGEiMsJxo3NyZBGzEiXDoqRDEbGyctJRUFZiseHisrHh4r6CQ4LignKhoqNx8bLSMuFik5JCEzKygsMyCmIykpIyQqKgAAAAIAMf9wAiICewA0AD0APwC7AB4AAQAlAAQruwAvAAEAFAAEK7sAOAABAAYABCu7ADsAAQAOAAQrugACAAYALxESObgAAhC5ADoAAfQwMSUjJyMOASMiLgI1NDY3NTQuAiMiDgIVFB4CMzI2NxcOASMiLgI1ND4CMzIeAhUFFBYzMjc1DgECIjIHBBZHJxsvIxSIgBEkOSctUj8lJD5UMS1DHRwnUjI7alAvLVBrPjRMMhn%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%2FW%2Fso%2FQz05%2BAAAAQBC%2F%2FQCKgKcACEAOQC4AABFWLgABS8buQAFAA0%2BWbgAAEVYuAAdLxu5AB0AAz5ZuAAFELkADAAB9LgAHRC5ABYAAfQwMRM0PgIzMhYXBy4BIyIOAhUUHgIzMjY3Fw4BIyIuAkIrTmxAPFodLxpAKi9NNh0dNk0vLUYgMCdiPz5pTSwBSE9%2BWC8wIDUbISVFYj0%2BY0YmJiMzLTIuV38AAAIAVQAAAiUCkAAKABMAOQC4AABFWLgAAC8buQAAAA0%2BWbgAAEVYuAAKLxu5AAoAAz5ZuAAAELkAEgAB9LgAChC5ABMAAfQwMRMzMhYVFA4CKwE3MjY1NCYrARFVoJWbJ0xwSaSbcG9vcEgCkKidTntVLUSKfX2E%2FfgAAAABAHMAAAISApAACwBNALgAAEVYuAAALxu5AAAADT5ZuAAARVi4AAsvG7kACwADPlm4AAAQuQADAAH0ugAHAAsAABESObgABy%2B5AAQAAfS4AAsQuQAIAAH0MDETIRUhFSEVIRUhFSFzAZX%2BvwEP%2FvEBS%2F5hApBGzkfuRwAAAQCHAAACGAKQAAkAQwC4AABFWLgAAC8buQAAAA0%2BWbgAAEVYuAAJLxu5AAkAAz5ZuAAAELkAAwAB9LoABwAJAAAREjm4AAcvuQAEAAH0MDETIRUhFSEVIREjhwGR%2FsIBDf7zUwKQRt5G%2FtoAAQA1%2F%2FQCFQKcACcATQC4AABFWLgABS8buQAFAA0%2BWbgAAEVYuAAjLxu5ACMAAz5ZuAAFELkADgAB9LgAIxC5ABgAAfS6AB0AIwAFERI5uAAdL7kAHgAB9DAxEzQ%2BAjMyHgIXBy4BIyIOAhUUHgIzMjY3NSM1MxEOASMiLgI1K01rQCE2LSMOLxg%2BMC5LNh0bM0wwIzwTg9AgZEA%2BaEwqAUhPf1cvDhccDzUaIiVFYj0%2BY0YmFRKrRf7sICwuV38AAQBPAAACCQKQAAsASQC4AABFWLgAAC8buQAAAA0%2BWbgAAEVYuAALLxu5AAsAAz5ZugAJAAsAABESObgACS%2B5AAIAAfS4AAAQuAAE0LgACxC4AAfQMDETMxEhETMRIxEhESNPVAESVFT%2B7lQCkP7tARP9cAE1%2FssAAQBfAAAB%2BQKQAAsAQQC4AABFWLgABC8buQAEAA0%2BWbgAAEVYuAALLxu5AAsAAz5ZuQAAAAH0uAAEELkAAwAB9LgABtC4AAAQuAAJ0DAxNzMRIzUhFSMRMxUhX6OjAZqjo%2F5mRwIDRkb9%2FUcAAQBR%2F%2FQB7QKRABMANQC4AABFWLgACS8buQAJAA0%2BWbgAAEVYuAAQLxu5ABAAAz5ZuQADAAH0uAAJELkABwAB9DAxNx4BMzI2NREhNSERFA4CIyImJ4cdSCZHQf7tAWYWM1M9OGkikywqS1EBckb%2BQS5RPCM0OQAAAQBiAAACQwKQAAwAawC4AABFWLgAAC8buQAAAA0%2BWbgAAEVYuAAELxu5AAQADT5ZuAAARVi4AAsvG7kACwADPlm4AABFWLgACC8buQAIAAM%2BWboAAwAHAAAREjm6AAkABwAAERI5uAAJELgABtC4AAMQuAAK0DAxEzMRMwEzBxMjAwcVI2JUAwEUXs%2FnXb5yVAKQ%2FrcBSfr%2BagFVhdAAAAEAhgAAAh0CkAAFACsAuAAARVi4AAAvG7kAAAANPlm4AABFWLgABS8buQAFAAM%2BWbkAAgAB9DAxEzMRIRUhhlIBRf5pApD9t0cAAAABAFEAAAIHApAAHQBNALgAAEVYuAAALxu5AAAADT5ZuAAARVi4AB0vG7kAHQADPlm7ABIAAQAEAAQruAAAELgABtC4AB0QuAAJ0LgAABC5ABYAAfS4ABDQMDETMxMXMzcTMxEjETQ%2BAjcjDwEjLwEjHgMVESNRXF0hBCBcXEcCAwMCAytaLVosAwEEBAJGApD%2B6WpqARf9cAFxFDY3NRSM%2Ff2MFDU3NhT%2BjwAAAQBTAAACBQKQABMAWQC4AABFWLgAAS8buQABAA0%2BWbgAAEVYuAALLxu5AAsAAz5ZugACAAEACxESObkABAAB9LgAARC4AAjQugAMAAsAARESObgAARC5AA0AAfS4AAsQuAAS0DAxEzMTFzMuATURMxEjAycjHgEVESNTVdVCAgIJT1XVQgICCU8CkP5ihjFrNAFU%2FXABnoYzZzP%2BqQAAAAIAMP%2F0AigCnAATACcANQC4AABFWLgACi8buQAKAA0%2BWbgAAEVYuAAALxu5AAAAAz5ZuQAUAAH0uAAKELkAHgAB9DAxBSIuAjU0PgIzMh4CFRQOAicyPgI1NC4CIyIOAhUUHgIBLDhcQyUlQ1w4N11DJSVDXTclPisYGCs%2BJSY9KxgYKz0MMFl%2FT099Vy4vV31OT39ZMEkmR2M%2BPWJEJSVEYj0%2BY0cmAAIAZgAAAiECkAAOABcARwC4AABFWLgAAC8buQAAAA0%2BWbgAAEVYuAAOLxu5AA4AAz5ZugAMAA4AABESObgADC%2B4AAAQuQAWAAH0uAAMELkAFwAB9DAxEzMyHgIVFA4CKwERIxMyNjU0JisBEWbJNlo%2FIyNAWTZ2U75XU1VVawKQFC1KNjRMMhn%2B%2FAFIQUZHN%2F77AAACADH%2FXQIpAp0AEwA0AEsAuAAARVi4ACQvG7kAJAANPlm4AABFWLgAGi8buQAaAAM%2BWbsAMQABABcABCu4ABoQuQAFAAH0uAAkELkADwAB9LgAGhC4AC7QMDETFB4CMzI%2BAjU0LgIjIg4CAQ4BIyImJy4DNTQ%2BAjMyHgIVFA4CBx4BMzI2N4YXKz0mJT0rFxcrPSUmPSsXAaMQJBZXbRkvTTceJEJcODdcQiQdNEstEUozDxkJAUs9ZEcnJ0dkPT1jRSUlRWP94wYIWEMIN1d2R099Vy8vV35ORnRXOAkqKwYEAAACAGQAAAIpApAACAAYAFMAuAAARVi4AA4vG7kADgANPlm4AABFWLgADS8buQANAAM%2BWboACwANAA4REjm4AAsvuQAAAAH0uAAOELkACAAB9LgADRC4AAnQuAALELgAF9AwMRMzMjY1NCYrAQEDIxEjETMyHgIVFAYHE7dtTVFRTW0BE551U8wyVD0iUEOnAVk%2FQEE0%2FbMBFf7rApATLEYzTVwR%2FuIAAAABAEP%2F9AIZApwAMwBJALgAAEVYuAAWLxu5ABYADT5ZuAAARVi4ADAvG7kAMAADPlm5AAMAAfS6AAYAMAAWERI5uAAWELkAHQAB9LoAIAAWADAREjkwMTceATMyNjU0LgIvAS4DNTQ%2BAjMyFhcHLgEjIgYVFB4CHwEeAxUUDgIjIiYndSViNkZMEiArGV4ZMikaIDlPLz5oJCwgTTE8RhUhKhVcHjUnFyA8VjZIeS2PJS07MBkjGRQLKQocKDckJUAvGi0kNh0hMy0YIRkSCSgMHyk3JCdEMx00LQAAAQAqAAACLgKQAAcAMwC4AABFWLgAAi8buQACAA0%2BWbgAAEVYuAAHLxu5AAcAAz5ZuAACELkAAQAB9LgABdAwMQEjNSEVIxEjAQLYAgTYVAJKRkb9tgAAAAEAT%2F%2F0AgkCkAAZADMAuAAARVi4AAAvG7kAAAANPlm4AABFWLgAFC8buQAUAAM%2BWbkABwAB9LgAABC4AA3QMDETMxEUHgIzMj4CNREzERQOAiMiLgI1T1QVJTIeHjImFVEhOlEwMFI7IQKQ%2FmYzRysUFCtHMwGa%2FmhHYj8cHD9iRwAAAAEAKwAAAi0CkAAPADMAuAAARVi4AAAvG7kAAAANPlm4AABFWLgADy8buQAPAAM%2BWbkABQAB9LgAABC4AAzQMDETMxMeARczPgM3EzMDIytYahEcEgQJEA8PCGlV0GECkP6eO2Q6HTU0Nh0BYv1wAAABAAoAAAJOApEAIQBNALgAAEVYuAABLxu5AAEADT5ZuAAARVi4ACAvG7kAIAADPlm7ABwAAQAKAAQruAAgELkABgAB9LgAD9C4AAEQuAAU0LgAIBC4ABfQMDETMxMeARczPgE%2FATMXHgEXMz4BNxMzAyMDLgEnIw4BBwMjClM1AgkDAwsVCkU7RQkVCwQDCAMyT2FcSwcMBQMGDAhIWgKR%2FmQqTykpUCny8ihRKSlQKQGc%2FW8BEx08HR08Hf7tAAABADYAAAIiApAAGQBdALgAAEVYuAACLxu5AAIADT5ZuAAARVi4ABgvG7kAGAADPlm6AAAAGAACERI5ugAGABgAAhESObgAAhC4AAvQugANABgAAhESObgAGBC4AA%2FQugAUABgAAhESOTAxEwMzFx4BFzM%2BAT8BMwMTIycuAScjDgEPASP6t1xcDRgQBA4VDFpYt8RcYw4bEQQOGg1iWAFTAT2oFysdHSsXqP6%2F%2FrGxGDMeHjMYsQAAAQAmAAACMgKQAA8AQAC4AABFWLgAAS8buQABAA0%2BWbgAAEVYuAALLxu5AAsADT5ZuAAARVi4AA4vG7kADgADPlm6AAcADgABERI5MDElAzMXHgEXMz4BPwEzAxUjAQLcWGMTJBQEFCYTX1bcVOoBpsMmSygoTCbC%2FlrqAAEAQQAAAhsCkQAJAD0AuAAARVi4AAMvG7kAAwANPlm4AABFWLgACC8buQAIAAM%2BWbkABgAB9LgAANC4AAMQuQABAAH0uAAF0DAxNwEhNSEVASEVIUEBb%2F6xAbX%2BkAF1%2FiYyAhlGMv3oRwAAAAEA4v9oAfYCxAAHABcAuwAFAAEABgAEK7sAAQABAAIABCswMRMhFSMRMxUh4gEU09P%2B7ALEMP0EMAAAAAEAY%2F9gAfUCxgADABgAuAAARVi4AAAvG7kAAAAPPlm4AALcMDETMwEjY0oBSEoCxvyaAAABAGP%2FaAF3AsQABwAXALsAAAABAAUABCu7AAQAAQABAAQrMDEFESM1IREhNQE10gEU%2FuxoAvww%2FKQwAAABAG8BHAHpAp4ACQAmALgAAEVYuAAALxu5AAAADT5ZuAAC3LoABQAAAAIREjm4AAnQMDEBMxMjLwEjDwEjAQhImUhCMQQxQkgCnv5%2BsIWFsAAAAAABADz%2FdAIc%2F7sAAwANALsAAAABAAEABCswMQUVITUCHP4gRUdHAAD%2F%2FwC5Aj0BbQLREgYAygAAAAIAUf%2F0AgMB8gAhAC8AgAC4AABFWLgAEy8buQATAAc%2BWbgAAEVYuAAdLxu5AB0AAz5ZuAAARVi4ABcvG7kAFwADPlm6AAUAEwAXERI5uAAFL7gAExC5AAoAAfS4AB0QuQAnAAH0ugANAAoAJxESOboAGQAXABMREjm4ABkQuQAqAAH0uAAFELkAKwAB9DAxNzQ%2BAjcuAyMiBgcnPgMzMhYVESMnIw4BIyIuAjcUHgIzMjY3NQ4DUSdVhl4BDh4xIzBYIiASMTc%2BIGRhQwcDKWM0IjwtGlASHScVKlEqTmk%2FGn4pPSwcCBksIRQlFTgMGRQNbVv%2B1kIgLhMjMycVHRMJJSOABhYfJwAAAAACAF3%2F9AIcAsgAFgAnAIMAuAAARVi4AAYvG7kABgAHPlm4AABFWLgAAC8buQAAAA8%2BWbgAAEVYuAAQLxu5ABAAAz5ZuAAARVi4ABYvG7kAFgADPlm6AAMABgAQERI5ugAUABAABhESObgAFBC5ABcAAfS4ABAQuQAaAAH0uAAGELkAJAAB9LgAAxC5ACcAAfQwMRMzFQc%2BATMyHgIVFA4CIyImJyMHIzceATMyPgI1NC4CIyIGB11SAiNXKzFMMxokPVArI1EjAwdCUiNHGiA2KBYQITQkIEkmAsjCXiIoI0FbOD5iRCMjHzZyHxobMUgtKEIvGiMmAAEAUP%2F0AhsB8gAhADkAuAAARVi4AAUvG7kABQAHPlm4AABFWLgAHS8buQAdAAM%2BWbgABRC5AAwAAfS4AB0QuQAWAAH0MDE3ND4CMzIWFwcuASMiDgIVFB4CMzI2NxcOASMiLgJQK0pjNzxXHikeQSYqRjEcGzFFKi1LHyQoYzY5YUgo8j1fQiIqHTUaHhsyRSoqRDEbIxo1JCgiQV8AAAACADz%2F9AH7AsgAFgAkAIMAuAAARVi4AAUvG7kABQAHPlm4AABFWLgACi8buQAKAA8%2BWbgAAEVYuAASLxu5ABIAAz5ZuAAARVi4AAwvG7kADAADPlm6AAgABQASERI5ugAOABIABRESObgAEhC5ABoAAfS4AA4QuQAcAAH0uAAIELkAHQAB9LgABRC5ACAAAfQwMTc0PgIzMhYXJzUzESMnIw4BIyIuAjcUFjMyNzUuASMiDgI8JT1QKy1EIgNSRAcDHlMtME04HlVLREhBIT8gIDcpGPI7X0IkIh1au%2F04QB8tIkFePlhiSfIfGhsxRAACAEX%2F9AIZAfIAHgAnAEMAuAAARVi4AAUvG7kABQAHPlm4AABFWLgAGi8buQAaAAM%2BWbsAJwABAA0ABCu4ABoQuQATAAH0uAAFELkAIgAB9DAxNzQ%2BAjMyHgIVFAYHIR4DMzI2NxcOASMiLgIlNCYjIg4CB0UqRVkvNFI5HgEC%2FoQBHTFDKCtHIh0kXDs2X0cpAYhMRB43LB4F8jxfQiMhPFQzDRkJJz4sGBgVNhciI0FeZElOFCc4JAAAAAEAZwAAAkIC1AAWAFYAuAAARVi4ABQvG7kAFAAPPlm4AABFWLgAEC8buQAQAAc%2BWbgAAEVYuAAMLxu5AAwAAz5ZuAAUELkAAwAB9LgAEBC4AAfQuAAQELkADQAB9LgACtAwMQEuASMiBh0BMxUjESMRIzU3NTQ2MzIXAi8eMyBCOczMUYuLX2VIRAJ6DglDPCxD%2Fl0Boz4FKVlsHAAAAAADAEj%2FIAI2AfIAEQBFAFUAsgC4AABFWLgAJS8buQAlAAc%2BWbgAAEVYuAAoLxu5ACgABz5ZuAAARVi4ACcvG7kAJwAHPlm4AABFWLgAQy8buQBDAAU%2BWbgAAEVYuAAMLxu5AAwAAz5ZuABDELkAAwAB9LgADBC4AA%2FQuAAV0LgADBC5ADoAAfS4ADLcuQBGAAH0ugA1AEYAMhESObgANRC4ABzQuAAoELkAKQAB9LgAJxC5ACoAAfS4ACUQuQBOAAH0MDEXFBYzMj4CNTQmKwEiJicOAQc0Njc1LgE1NDY3NS4BNTQ%2BAjMyFzMVIx4BFRQOAiMiJicGFRQWOwEyFhUUDgIjIiYTMjY1NC4CIyIOAhUUFo9RTipEMBk3OF8VJRAjG0cpJxQeHhwZIx80RScoIMmCERwdM0UnEysUJjUwbV5bJkZkPmt12y9BEh4pFxcpHhJCUSYwERwkEyMYAwUTKR0dOBcECyYfFzETBBM%2FLChALRkMPxI0ICc%2BKxcJCRggHRs0PiI%2BLhxGAWs%2BNRkqHhERHioZNT4AAAAAAQBdAAACCwLIABYAZQC4AABFWLgAAC8buQAAAA8%2BWbgAAEVYuAAGLxu5AAYABz5ZuAAARVi4ABYvG7kAFgADPlm4AABFWLgACy8buQALAAM%2BWboAAwAGAAsREjm4AAYQuQAPAAH0uAADELkAFAAB9DAxEzMVBz4BMzIWFREjETQmIyIOAgcRI11SBCdYOVdRUjQ8FiUkJhVSAsjCcyk2Y2H%2B0gEjRUMLFiEW%2Fq0AAAACAFoAAAGeAskABQARADsAuAAARVi4AAAvG7kAAAAHPlm4AABFWLgAAi8buQACAAM%2BWbgAABC5AAQAAfS4AAAQuAAG3LgADNwwMRMhESMRIyUiJjU0NjMyFhUUBloBNFLiAQIdJSUdHCYmAeb%2BGgGjpyIdHSMjHR0iAAAAAgA3%2FycBngLJABUAIQBBALgAAEVYuAAALxu5AAAABz5ZuAAARVi4AAcvG7kABwAFPlm5AA4AAfS4AAAQuQAUAAH0uAAAELgAFty4ABzcMDETIREUDgIjIiYnNx4BMzI%2BAjURIyUiJjU0NjMyFhUUBloBNBQvTjsmSB0bGjkcJDAcC%2BIBAh0lJR0cJiYB5v4OLUs3HhMOPQ0OEiIxHwG1pyIdHSMjHR0iAAAAAAEAagAAAj4CyAAMAG0AuAAARVi4AAQvG7kABAAHPlm4AABFWLgAAC8buQAAAA8%2BWbgAAEVYuAAMLxu5AAwAAz5ZuAAARVi4AAgvG7kACAADPlm6AAIAAAAMERI5ugAJAAAACBESObgACRC4AAbQuAACELkACgAB9DAxEzMRMwEzBxMjJwcVI2pSBAEGXsLcXLNzUgLI%2Fh4BAMH%2B2%2FNvhAABAFH%2F9AIZAsgAEAA1ALgAAEVYuAAALxu5AAAADz5ZuAAARVi4AAsvG7kACwADPlm5AAUAAfS4AAAQuQAQAAH0MDETMxEUFjMyNxcOASMiJjURI1H4MywoNBUhOihOUaYCyP3VNi8XPgwRWFcB4gAAAQA8AAACLAHyACAAowC4AABFWLgABi8buQAGAAc%2BWbgAAEVYuAALLxu5AAsABz5ZuAAARVi4AAAvG7kAAAAHPlm4AABFWLgAIC8buQAgAAM%2BWbgAAEVYuAAYLxu5ABgAAz5ZuAAARVi4ABAvG7kAEAADPlm6AAIAIAAAERI5uAACELgACNC4AAsQuQATAAH0uAAIELkAFgAB9LgABhC5ABsAAfS4AAIQuQAeAAH0MDETMxczPgEzMhc%2BATMyFhURIxE0IyIGBxEjETQjIgYHESM8QAcDEjEqShIWNCkzN081GiYTQjcaJBNPAeZAIipUJi5NSf6kAVVWJSb%2BoAFVViUm%2FqAAAAAAAQBdAAACCwHyABYAZQC4AABFWLgABi8buQAGAAc%2BWbgAAEVYuAAALxu5AAAABz5ZuAAARVi4ABYvG7kAFgADPlm4AABFWLgACy8buQALAAM%2BWboAAgAGABYREjm4AAYQuQAPAAH0uAACELkAFAAB9DAxEzMXMz4BMzIWFREjETQmIyIOAgcRI11EBwQmWDlXUVI0PBYlJCYVUgHmUyk2Y2H%2B0gEjRUMLFiEW%2Fq0AAAACADz%2F9AIcAfIAEwAnADUAuAAARVi4AAUvG7kABQAHPlm4AABFWLgADy8buQAPAAM%2BWbkAGQAB9LgABRC5ACMAAfQwMTc0PgIzMh4CFRQOAiMiLgI3FB4CMzI%2BAjU0LgIjIg4CPCdCVzAwV0InJ0JXMDBXQidVFik5IyM5KRYWKTkjIzkpFvI9X0IiIkJfPTxfQSIiQV88KkQxGxsxRCoqRTIbGzJFAAACAF3%2FMwIcAfIAFgAlAIMAuAAARVi4AAkvG7kACQAHPlm4AABFWLgAAy8buQADAAc%2BWbgAAEVYuAATLxu5ABMAAz5ZuAAARVi4AAIvG7kAAgAFPlm6AAUACQATERI5ugAWABMACRESObgAFhC5ABcAAfS4ABMQuQAaAAH0uAAJELkAIgAB9LgABRC5ACUAAfQwMRcVIxEzFzM%2BATMyHgIVFA4CIyImJzceATMyNjU0LgIjIgYHr1JEBwMiWS0xSzMaJD1QLCJPIQIjRhlCVBAhNCQgSSYppAKzPiAqI0FbOT5hRCMhHj8fGmZbKEIvGiMmAAAAAgA8%2FzMB%2BwHyABYAJACDALgAAEVYuAAFLxu5AAUABz5ZuAAARVi4AAsvG7kACwAHPlm4AABFWLgAEi8buQASAAM%2BWbgAAEVYuAANLxu5AA0ABT5ZugAIAAUAEhESOboADwASAAUREjm4ABIQuQAaAAH0uAAPELkAHAAB9LgACBC5AB0AAfS4AAUQuQAgAAH0MDE3ND4CMzIWFzM3MxEjNTcOASMiLgI3FBYzMjc1LgEjIg4CPCU9UCstRiMDB0JSBCBRLTBNOB5VS0RIQSE%2FICA3KRjyO19CJCIgNv1Ns1gfKyJBXj5YYknyHxobMUQAAQCSAAACGQHyABIAVAC4AABFWLgAAC8buQAAAAc%2BWbgAAEVYuAAGLxu5AAYABz5ZuAAARVi4ABEvG7kAEQADPlm6AAIAEQAAERI5uAAGELkADQAB9LgAAhC5ABAAAfQwMRMzFzM%2BATMyFhcHLgEjIgYHESOSRAcDJm9EGy4XExojHTdlLFIB5nM7RAkLRwkIP0z%2B4wAAAAABAEj%2F9AIOAfIALQBJALgAAEVYuAATLxu5ABMABz5ZuAAARVi4ACovG7kAKgADPlm5AAMAAfS6AAYAKgATERI5uAATELkAGgAB9LoAHwATACoREjkwMTceATMyNjU0JicuAzU0PgIzMhYXBy4BIyIOAhUUFhceARUUDgIjIiYncCleQkJARVkmQzIeGjNNMjdoJCggTi0iLhwMUkJjXxw3UTRIeS12HiQsIBwsFgkaIyoaHTMlFSUZNRccCxMaDh4nERlAOB40KBctHwABAEX%2F9AIiAm4AGwBNALgABS%2B4AABFWLgAAy8buQADAAc%2BWbgAAEVYuAAWLxu5ABYAAz5ZuAADELkAAQAB9LgAAxC4AAfQuAABELgACNC4ABYQuQAPAAH0MDETIzU%2FATMVMxUjFRQeAjMyNjcXDgEjIi4CNc6JjAtE7%2B8MHDAjIzgaEiFQKDVIKxMBoz4FiIhD5yExIhEMCjwMER01Si0AAQBN%2F%2FQB%2BQHmABQAZQC4AABFWLgACi8buQAKAAc%2BWbgAAEVYuAATLxu5ABMABz5ZuAAARVi4AAYvG7kABgADPlm4AABFWLgAAC8buQAAAAM%2BWboAAgAGABMREjm4AAYQuQAPAAH0uAACELkAEgAB9DAxISMnIw4BIyImNREzERQWMzI2NxEzAflDBwQlVzlYUVMzPSpEKVJVKzZjYQEu%2Ft1FQysvAVEAAQAzAAACJQHmAA0APAC4AABFWLgAAC8buQAAAAc%2BWbgAAEVYuAAKLxu5AAoABz5ZuAAARVi4AA0vG7kADQADPlm5AAUAAfQwMRMzEx4BFzM%2BATcTMwMjM1NwDxsNBA0ZD3BPyVwB5v7sJUcjI0clART%2BGgABAAgAAAJQAeYAIQB0ALgAAEVYuAAALxu5AAAABz5ZuAAARVi4AAovG7kACgAHPlm4AABFWLgAFC8buQAUAAc%2BWbgAAEVYuAAhLxu5ACEAAz5ZuAAARVi4ABcvG7kAFwADPlm6AAYAAAAhERI5uAAGELgAD9C6ABwAAAAXERI5MDETMxMeARczPgE%2FATMXHgEXMz4BNxMzAyMnLgEnIw4BDwEjCFQ7BwwFBAcOCDtGPAgOCAQHCwY7TmpjOgcMCAQGDAk4YgHm%2FucjQiIiQyL8%2FCNCIiJCIwEZ%2Fhr2I0UlIEQq9QABAEAAAAIXAeYAGQBlALgAAEVYuAABLxu5AAEABz5ZuAAARVi4AAsvG7kACwAHPlm4AABFWLgAGS8buQAZAAM%2BWbgAAEVYuAAPLxu5AA8AAz5ZugATAAEAGRESObgAExC4AADQuAATELgADdC4AAfQMDE3JzMXHgEXMz4BPwEzBxcjJy4BJyMOAQ8BI%2FmrW00NHQ8EDhwNSVetulpVDyEQBA8eD1BY%2FOprFCoUFCwUafH1cBUuFRYrF3AAAAEAMf8vAicB5gAcAFsAuAAARVi4AAgvG7kACAAHPlm4AABFWLgAEi8buQASAAc%2BWbgAAEVYuAAZLxu5ABkABT5ZuAAARVi4AAcvG7kABwADPlm4ABkQuQADAAH0ugAOAAgABxESOTAxFx4BMzI2PwEDMxMeARczPgE3EzMDDgMjIic3VAoXCzNAEg%2FjU3cOHw8EDRsMak7WDiQyQSkkHBGGAwQ7LSQB5%2F7zIEojI0khAQ398iQ%2BLRoKQQAAAQBHAAACFAHmAAkAPQC4AABFWLgAAy8buQADAAc%2BWbgAAEVYuAAILxu5AAgAAz5ZuQAGAAH0uAAA0LgAAxC5AAEAAfS4AAXQMDE3ASE1IRUBIRUhRwFN%2FtgBnv6yAVj%2BMywBd0Ms%2FolDAAAAAQB4%2F2gB9gLEADkAKwC7ADMAAQA0AAQruwAZAAEAGgAEK7sACwABAAoABCu6ACcACgALERI5MDEFND4CNTQuAiM1Mj4CNTQmNTQ%2BAjsBFSMiDgIVFBYVFAYHFR4BFRQGFRQeAjsBFSMiLgIBAAMDAwwgOSwsOSAMCRYuRi89NCYxGwoGJzQ0JwYKGzEmND0vRi4WExsxLi4ZDxsWDjQOFhsPMF00JzMeDTAKFSMYK1svMTMJBAkzMTNULhgjFQowDR4zAAEBB%2F8GAVEC7gADAAsAugABAAIAAyswMQEzESMBB0pKAu78GAAAAAABAGP%2FaAHgAsQAOQArALsAAAABADcABCu7ABoAAQAXAAQruwAnAAEAKAAEK7oADAAoACcREjkwMRcyPgI1NCY1NDY3NS4BNTQ2NTQuAisBNTMyHgIVFAYVFB4CMxUiDgIVFB4CFRQOAisBNZYmMRwKBiY0NCYGChwxJjM9L0UuFgkMIDksLDkgDAMDAxYuRS89aAoVIxguVDMxMwkECTMxL1srGCMVCjANHjMnNF0wDxsWDjQOFhsPGS4uMRsnMx4NMAAAAQBMAP8CDAGVABkAJwC7AAMAAQAWAAQruwARAAEACAAEK7gAAxC4AA3QuAARELgAGdAwMRM%2BATMyHgIzMj4CNxcOASMiLgIjIgYHTBpIJh4vKScVDBUVEgk1GkgmHi8pJxUXKREBFkY3GiAaBxMiGhhGNhogGiI0AAAAAAIA4%2F9IAXUB8gAFABEAHAC4AABFWLgADy8buQAPAAc%2BWbgACdy4AATcMDEFFyM3EzM3FAYjIiY1NDYzMhYBUgJQAgo4LSseHisrHh4rWl5eAVinJCkpJCMqKgAAAgBx%2F98B%2BgKNAAYAJQBcALgAAEVYuAAYLxu5ABgACz5ZuwAiAAEACgAEK7sAGgABACEABCu4ACEQuAAA0LgAAC%2B4ACIQuAAG0LgABi%2B4AAoQuAAN0LgADS%2B4AAzcuAAaELgAF9C4ABcvMDEBDgEVFBYfAQ4BBxUjNS4DNTQ%2BAjc1MxUeARcHLgEnET4BNwE6OEA%2FOcAeSCczLUo1HR82SiozLEAXKBQtGiA0FQHdDVhCQ1gNCRoiA2doBSQ9VDU0UzwkBmpnAiIWNBIWAv6oAhsSAAABAE0AAAITAooAKQBXALgAAEVYuAATLxu5ABMACz5ZuAAARVi4AAEvG7kAAQADPlm7AAgAAQALAAQruAABELkAAAAB9LgAA9C4ABMQuQAaAAH0uAALELgAINC4AAgQuAAj0DAxJRUhNT4BNTQnIzU3LgE1ND4CMzIWFwcuASMiBhUUFhczFSMWFRQGBxUCE%2F47Pz0IdWMLFR43TTA%2BVR0wFzsqQkUTC72tBiUmR0cyHF85Gh00BCA9ICpEMBorIC8XHkE0IDsgOBsdNUYfBAAAAgA6AFMCHgJBACAANAAXALsAJgABAB0ABCu7AAwAAQAwAAQrMDE%2FAS4BNTQ2Nyc3FzYzMhc3FwceARUUBgcXBycOASMiJwc3FB4CMzI%2BAjU0LgIjIg4COlQRExIRUyxXMD8%2BMVcsVBETExFULFgXOR4%2BMVdQEyArGBgrIBMTICsYGCsgE4BVFzojIzsXVi1aJSVaLVYXOyMjOhdVLVkTEyZZ9h4xJBMTJDEeHjEkExMkMQAAAQA1AAACIwJ%2BAB0AbAC4AABFWLgAAC8buQAAAAs%2BWbgAAEVYuAAJLxu5AAkACz5ZuAAARVi4ABMvG7kAEwADPlm6AAUAEwAJERI5uAAFELgAC9C5AA4AAfS4ABnQuAAY3LgAD9C5ABIAAfS4ABXQuAALELgAHNAwMRMXHgEXMz4BPwEzAzMVIxUzFSMVIzUjNTM1IzUzA4pcESETBBIiElxSuqK3t7dStbW1obkCfqshQyMjQyGr%2FsAvQTCenjBBLwFAAAIBB%2F8GAVEC7gADAAcAEwC6AAEABQADK7oAAwAHAAMrMDEBMxEjFxEjEQEHSkpKSgLu%2FjVN%2FjAB0AAAAAIAW%2F%2FAAf0CrAAPAEcATwC7AC8AAQAoAAQruwBEAAEAEwAEK7oAMgAoABMREjm6ABYARAAvERI5ugAgADIAFhESObgAIBC4AADQugA8ABYAMhESObgAPBC4AAjQMDElPgE1NC4CJw4BFRQeAhMuASMiBhUUHgQVFAYHHgEVFA4CIyImJzceATMyNjU0LgQ1NDY3LgE1ND4CMzIWFwFzICMpPkkgHyUpP0lUGjgjKiYqP0k%2FKjEpDg8YKjskN1wgMho9KiktKj5KPiozKA4REyY4JjJRHsAOJiIiLCEdEhApHyErIRwBaxQaJRobJB4eKz0uMDwWECcaHjIkFSYhLRgcKB0cJh4dKj0uLUAVECcaGi8kFSIXAP%2F%2FAJYCTAHCAroSBgDPAAAAAwAe%2F%2FUCOgKNABMAJwBFAE0AuAAARVi4AAUvG7kABQALPlm4AABFWLgADy8buQAPAAM%2BWbkAGQAB9LgABRC5ACMAAfS4AC3QuQA0AAH0uAAZELgAQdC5ADoAAfQwMRM0PgIzMh4CFRQOAiMiLgI3FB4CMzI%2BAjU0LgIjIg4CFzQ%2BAjMyFhcHLgEjIgYVFBYzMjY3Fw4BIyIuAh4pSWM5OWNJKSlJYzk5Y0kpLiA7UzIyUzsgIDtTMjJTOyBGGy47ISMxFCIQHxQuODUtGiYRHhc0JiI7LBkBQ0x7VS4uVXtMTXtXLy9Xe01Ca00qKk1rQkJqTCkpTGpCK0YyGhsUJw4RSztCTRQOKhQbGzNJAP%2F%2FAKcA%2FAG6Ak4SBgDSAAD%2F%2FwBTADQB%2BAHEEiYA3Y4AEAYA3XMAAAAAAQBVAGgCAwFpAAUADQC7AAEAAQAEAAQrMDETIREjNSFVAa5C%2FpQBaf7%2Fw%2F%2F%2FAFUBKwIDAWkSBgDiAAAABABwAT8B6ALJABMAJwA1AD4APQC7ABQAAQAAAAQruwAKAAEAHgAEK7sANgABADIABCu4AB4QuAAp0LgAMhC4AC%2FQuAAUELgANNC4ADHQMDEBIi4CNTQ%2BAjMyHgIVFA4CJzI%2BAjU0LgIjIg4CFRQeAgMzMhYVFAYHFyMnIxUjNzI2NTQmKwEVASwnRTMdHTNFJydEMx4eM0QnHzcnFxcnNx8gNigXFyg2KUwgLxURLi4jKSlDFBgTFxwBPx00SCwsSDQdHTRILCxINB0lFyo7JCM7KxgYKzsjJDsqFwEIHSQSHwZTRkZmEREPEkMAAAD%2F%2FwCxAlkBpwKSEgYAzgAAAAIArwGtAaoCrQATAB8AFwC7AAoAAQAaAAQruwAUAAEAAAAEKzAxASIuAjU0PgIzMh4CFRQOAicyNjU0JiMiBhUUFgEsGS0jFBQjLRkZLiIVFSIuGSIqKiIhKioBrRIhLx0eLyISEiIvHh0vIRIuLiMlLi4lIy4AAAIAVQAAAgMCLAALAA8ARAC4AABFWLgADi8buQAOAAM%2BWbsAAwABAAAABCu4AAMQuAAE3LgAAxC4AAbQuAAAELgACNC4AA4QuQAMAAH0uAAL3DAxASM1MzUzFTMVIxUjByEVIQELtrZCtrZCtgGu%2FlIBMD6%2Bvj6xQT4AAP%2F%2FAK4BuAGnAvUSBwDmAAEBuAAA%2F%2F8ArAGsAaQC9RIHAOcAAAG4AAD%2F%2FwDrAj0BnwLREgYAywAAAAEATf9FAi4B5gAoAHMAuAAoL7gAAEVYuAAALxu5AAAABz5ZuAAARVi4AAsvG7kACwAHPlm4AABFWLgAHy8buQAfAAM%2BWbgAAEVYuAAYLxu5ABgAAz5ZuAAfELkABQAB9LoAHAALAB8REjm4ABwQuQAKAAH0uAAYELkAEgAB9DAxEzMRFBYzMj4CNxEzDgEVFBYzOgE3FwYjIiYnIw4BIyImJxwBHgEXI01TNDkTJiYnFFMCAxALBAcHDBMdJiQFAyBRLyM7FAICAlMB5v7dQ0UJGCsjATxjz1gUEAI%2BCDU6ODUVICY7NDMeAAAAAgBI%2F7AB5QKQAAMAEAAlALgAAEVYuAAALxu5AAAADT5ZuAAARVi4AA8vG7kADwANPlkwMQEzESMDIyIuAjU0PgI7AQGUUVE2IDVaQiUkP1YyKwKQ%2FSABMhk1Ujk7UTMWAAAA%2F%2F8A2wEHAX0BsBIHABMAAAETAAD%2F%2FwDd%2FysBdgADEgYA0QYA%2F%2F8A0AG4AWEC6RIHAOUAAAG4AAD%2F%2FwCOAPwBygJOEgYA0wAA%2F%2F8AYQA0AgYBxBImAN6OABAGAN5zAAAA%2F%2F8AHAAAAj8CfhInAOX%2FewFNECYA3wAAEAcA6ACGAAD%2F%2FwAcAAACPAJ%2BEicA5f97AU0QJgDfAAAQBwDmAIcAAP%2F%2FACcAAAJVAooSJwDn%2F3sBTRAmAN8ZABAHAOgAhgAAAAIAe%2F88AewB8gAbACcAKgC4AABFWLgAJS8buQAlAAc%2BWbsACgABABEABCu4ACUQuAAf3LgAG9wwMSUWDgQVFBYzMjY3Fw4BIyImNTQ%2BBCc3FAYjIiY1NDYzMhYBZwYSIywnGjg3JkEbMCFdOlRlGyctJBQEZyweHisrHh4s%2FiQ4LignKxkqNh4bLSMuVEghMysoLDIhpyQpKSQjKioAAP%2F%2FACAAAAI4AzISJgAmAAAQBgDpAAAAAP%2F%2FACAAAAI4AzISJgAmAAAQBgDqAAAAAP%2F%2FACAAAAI4AzISJgAmAAAQBgDrAAAAAP%2F%2FACAAAAI4AzMSJgAmAAAQBgDsAAAAAP%2F%2FACAAAAI4Ay0SJgAmAAAQBgDtAAAAAP%2F%2FACAAAAI4A2sSJgAmAAAQBgDuAAAAAAAC%2F%2F8AAAJPApAABgAWAGYAuAAARVi4AA4vG7kADgANPlm4AABFWLgACC8buQAIAAM%2BWbgAAEVYuAAMLxu5AAwAAz5ZuwAAAAEACgAEK7sAEwABABQABCu4AA4QuQABAAH0uAAIELkABwAB9LgAARC4ABHQMDEBESMOAQ8BBRUhNSMHIwEhFSMVMxUjFQE9AxQrFC4Blv7unklXAQQBQ72TkwECAUw2aTZ3u0e%2FvwKQRs1H7%2F%2F%2FAEL%2FKwIqApwSJgAoAAAQBgDvLwAAAP%2F%2FAHMAAAISAzISJgAqAAAQBgDpHwAAAP%2F%2FAHMAAAISAzISJgAqAAAQBgDqHwAAAP%2F%2FAHMAAAISAzISJgAqAAAQBgDrHwAAAP%2F%2FAHMAAAISAy0SJgAqAAAQBgDtHwAAAP%2F%2FAF8AAAH5AzISJgAuAAAQBgDpAAAAAP%2F%2FAF8AAAH5AzISJgAuAAAQBgDqAAAAAP%2F%2FAF8AAAH5AzISJgAuAAAQBgDrAAAAAP%2F%2FAF8AAAH5Ay0SJgAuAAAQBgDtAAAAAAACABAAAAIrApAADAAZAFMAuAAARVi4AAQvG7kABAANPlm4AABFWLgACy8buQALAAM%2BWbsAAwABAAAABCu4AAsQuQANAAH0uAAEELkAEwAB9LgAAxC4ABXQuAAAELgAF9AwMRMjNTcRMzIWFRQGKwE3MjY1NCYrARUzFSMVW0tLoZSbm5Gkm3Bvb3BIj48BQSoFASConZ2uRIp9fYTcL%2F3%2F%2FwBTAAACBQMzEiYAMwAAEAYA7AYAAAD%2F%2FwAw%2F%2FQCKAMyEiYANAAAEAYA6QAAAAD%2F%2FwAw%2F%2FQCKAMyEiYANAAAEAYA6gAAAAD%2F%2FwAw%2F%2FQCKAMyEiYANAAAEAYA6wAAAAD%2F%2FwAw%2F%2FQCKAMzEiYANAAAEAYA7AAAAAD%2F%2FwAw%2F%2FQCKAMtEiYANAAAEAYA7QAAAAAAAQBmAH4B8gIVAAsAKQC6AAUACQADK7oACgAJAAUREjm4AAoQuAAB0LgAChC4AAfQuAAE0DAxPwEnNxc3FwcXBycHZpqaLJqaLJqaLJqaq5%2BeLZ%2BfLZ6fLaCgAAADAC3%2F4gIsAq4ACgAVAC8AfQC4AABFWLgAKy8buQArAA0%2BWbgAAEVYuAAeLxu5AB4AAz5ZugAVAB4AKxESObgAFRC4AADQuAAeELkAAwAB9LoACgAeACsREjm4AAoQuAAL0LgAKxC5AA4AAfS4AAoQuAAW0LgAABC4ACDQuAAVELgAI9C4AAsQuAAt0DAxNx4BMzI%2BAjU0LwEuASMiDgIVFBcBHgEVFA4CIyInByc3LgE1ND4CMzIXNxfAFTcgJT4rGBkfFTghJj0rGBsBTB0eJUNdN1pANTA%2FHR8lQ1w4XD82L3QaHSZHYz5ZQDgaHSVEYj1fQAGFK3NIT39ZMD1PIF0tdklPfVcuPU8gAAAA%2F%2F8AT%2F%2F0AgkDMhImADoAABAGAOkAAAAA%2F%2F8AT%2F%2F0AgkDMhImADoAABAGAOoAAAAA%2F%2F8AT%2F%2F0AgkDMhImADoAABAGAOsAAAAA%2F%2F8AT%2F%2F0AgkDLRImADoAABAGAO0AAAAA%2F%2F8AJgAAAjIDMhImAD4AABAGAOoAAAAAAAIAZQAAAiECkAAQABkAOQC4AABFWLgAAC8buQAAAA0%2BWbgAAEVYuAAPLxu5AA8AAz5ZuwARAAEADQAEK7sAAwABABcABCswMRMzFTMyHgIVFA4CKwEVIzcyNjU0JisBEWVUdjZaPyMjQFk2dlS%2FV1NVVWsCkG4ULkk2NE0yGJbaQEdHNv78AAABAFj%2F9AI0AtQAOQBaALgAAEVYuAAFLxu5AAUADz5ZuAAARVi4ADkvG7kAOQADPlm4AABFWLgAGy8buQAbAAM%2BWbkAIgAB9LoADwAFACIREjm4AAUQuQA0AAH0ugAlABsANBESOTAxEzQ%2BAjMyHgIVFA4CFRQeBBUUDgIjIiYnNx4BMzI2NTQuBDU0PgI1NCYjIgYVESNYHDRKLyg9KhUcIhweLDUsHhcrPCUqRiAhHDQdKi0eLTQtHhwiHCwqNz9SAgcuTDYdGCk1HiY1LCkaGCAbGiQ1JyA2KBcYFToUEy8fHSYdGSEtIyIxLS8gJTFLS%2F4FAAAA%2F%2F8AUf%2F0AgMC0RImAEYAABAGAMoOAAAA%2F%2F8AUf%2F0AgMC0RImAEYAABAGAMsOAAAA%2F%2F8AUf%2F0AgMC0RImAEYAABAGAMwOAAAA%2F%2F8AUf%2F0AgMCsBImAEYAABAGAM0OAAAA%2F%2F8AUf%2F0AgMCuhImAEYAABAGAM8OAAAA%2F%2F8AUf%2F0AgMC1xImAEYAABAGANAOAAAAAAMAEf%2F0AlUB8gAuADcARAClALgAAEVYuAANLxu5AA0ABz5ZuAAARVi4ABMvG7kAEwAHPlm4AABFWLgAJi8buQAmAAM%2BWbgAAEVYuAAsLxu5ACwAAz5ZuwAvAAEAGwAEK7oAAwANACwREjm4AAMvuAANELkABgAB9LoAEAAmAA0REjm4ACYQuQAfAAH0ugApACYADRESObgAExC5ADQAAfS4ACwQuQA7AAH0uAADELkAQgAB9DAxNzQ2Ny4BIyIGByc%2BATMyFhc%2BATMyHgIVFAYHIR4BMzI2NxcOASMiJicOASMiJiU0LgIjIgYPARQWMzI2Ny4BLwEOARF8fAEnLxpBFx8eUC0wOw4YRTAlNyUSAgL%2B%2FgM8OxwvFR0ZQSY1SBgpTyY8RgH%2FCBQhGC85BfEoIho%2BGggHAQFcT4FJVxM2RRkQOBQgOCovMyQ9UC0OGg1MXRINNhEaMCstLkvXHzgrGVJJkScoJCMWNR0ZEDr%2F%2FwBQ%2FysCGwHyEiYASAAAEAYA0SoAAAD%2F%2FwBF%2F%2FQCGQLREiYASgAAEAYAyg8AAAD%2F%2FwBF%2F%2FQCGQLREiYASgAAEAYAyw8AAAD%2F%2FwBF%2F%2FQCGQLREiYASgAAEAYAzA8AAAD%2F%2FwBF%2F%2FQCGQK6EiYASgAAEAYAzw8AAAD%2F%2FwBaAAABnQLREiYAxAAAEAYAyjAAAAD%2F%2FwBaAAABzwLREiYAxAAAEAYAyzAAAAD%2F%2FwBaAAAB4ALREiYAxAAAEAYAzDAAAAD%2F%2FwBaAAAB8gK6EiYAxAAAEAYAzzAAAAAAAgA8%2F%2FQCGALaABQAOQBrALgAAEVYuAA0Lxu5ADQADz5ZuAAARVi4AB0vG7kAHQADPlm7ACcAAQALAAQruAAdELkAAAAB9LoAKgA0AB0REjm4ACoQuQAIAAH0ugAVADQAHRESObgAFRC4AC3QuAAVELgAN9C4ADDQMDElMj4CNTwBJy4BIyIOAhUUHgITHgEVFA4CIyIuAjU0PgIzMhYXLgEnByc3LgEnNx4BFzcXASwoOycTASNSJyg9KRUaLDx7QlAhPlg3L1ZCJyI9UzIvVBwOPS6WF4QaPCImKEoihxc4HTVILAsWCy8mGCw7IiY9KxgCKj2reTxjRycgPVc2M1M7IComRWUoTSlEEyERNBMqGkUpAAAA%2F%2F8AXQAAAgsCsBImAFMAABAGAM0SAAAA%2F%2F8APP%2F0AhwC0RImAFQAABAGAMoAAAAA%2F%2F8APP%2F0AhwC0RImAFQAABAGAMsAAAAA%2F%2F8APP%2F0AhwC0RImAFQAABAGAMwAAAAA%2F%2F8APP%2F0AhwCsBImAFQAABAGAM0AAAAA%2F%2F8APP%2F0AhwCuhImAFQAABAGAM8AAAAAAAMAVQBgAgMCMwALABcAGwAlALsAGQABABoABCu4ABkQuAAA3LgABty4ABoQuAAP3LgAFdwwMQEiJjU0NjMyFhUUBgM0NjMyFhUUBiMiJichFSEBLBcfHxcXHx9NHxcXHx8XFx%2BhAa7%2BUgHIHhgXHh4XGB7%2BzhceHhcYHh7rPgAAAwA8%2F%2BkCHAH9AAoAFgAwAH0AuAAARVi4ACwvG7kALAAHPlm4AABFWLgAHy8buQAfAAM%2BWboAFgAfACwREjm4ABYQuAAA0LgAHxC5AAIAAfS6AAoALAAfERI5uAAKELgAC9C4ACwQuQAOAAH0uAAKELgAF9C4AAAQuAAh0LgAFhC4ACTQuAALELgALtAwMTcWMzI%2BAjU0Ji8BLgEjIg4CFRQWFwEeARUUDgIjIicHJzcuATU0PgIzMhc3F8kpOiM5KRYODR4TMh0jOSkWDg0BNRsgJ0JXMFM%2FMyU1GyAnQlcwUz8zJVwmHDFFKiE6FyYSFBwyRiohOBcBICBZNzxfQSIwOx0%2BIFg2PV9CIjA7Hf%2F%2FAE3%2F9AH5AtESJgBaAAAQBgDK%2FAAAAP%2F%2FAE3%2F9AH5AtESJgBaAAAQBgDL%2FAAAAP%2F%2FAE3%2F9AH5AtESJgBaAAAQBgDM%2FAAAAP%2F%2FAE3%2F9AH5AroSJgBaAAAQBgDP%2FAAAAP%2F%2FADH%2FLwInAtESJgBeAAAQBgDLBAAAAAACAF3%2FMwIcAsgAFgAlAIMAuAAARVi4AAIvG7kAAgAPPlm4AABFWLgACC8buQAIAAc%2BWbgAAEVYuAABLxu5AAEABT5ZuAAARVi4ABIvG7kAEgADPlm6AAUACAASERI5ugAVABIACBESObgAFRC5ABcAAfS4ABIQuQAaAAH0uAAIELkAIgAB9LgABRC5ACUAAfQwMRcjETMVBz4BMzIeAhUUDgIjIiYnFzUeATMyPgI1NCYjIgYHr1JSAiNWKzFMMxslPVArJEwhASNFGiA3KBdBSSBIJs0DlclXIigjQVs5PmFEIyIdXJsfGhsxSC1QYyMmAAD%2F%2FwAx%2Fy8CJwK6EiYAXgAAEAYAzwQAAAAAAQBaAAABjgHmAAUALwC4AABFWLgAAC8buQAAAAc%2BWbgAAEVYuAACLxu5AAIAAz5ZuAAAELkABAAB9DAxEyERIxEjWgE0UuIB5v4aAaMAAAACACEAAAJPApEAEgAbAE8AuAAARVi4AAMvG7kAAwANPlm4AABFWLgADS8buQANAAM%2BWbsACAABAAkABCu4AAMQuQAGAAH0uAANELkACwAB9LgAFtC4AAYQuAAY0DAxEzQ2MyEVIxUzFSMVMxUhIi4CNxQWOwERIyIGIY19ARrClJTM%2Ftk%2BYUQkVlRWFRVWVAFLnqhGz0fuRy1Ve05%2BiQIIgwAAAAMAC%2F%2F0AlQB8gATADsARACNALgAAEVYuAAZLxu5ABkABz5ZuAAARVi4AB8vG7kAHwAHPlm4AABFWLgAMi8buQAyAAM%2BWbgAAEVYuAA3Lxu5ADcAAz5ZuwA8AAEAJwAEK7gANxC5AAUAAfS4ABkQuQAPAAH0ugAcADIAGRESObgAMhC5ACsAAfS6ADUAMgAZERI5uAAfELkAQQAB9DAxNxQeAjMyPgI1NC4CIyIOAgc0PgIzMhYXPgEzMh4CFRQGByMeATMyNjcXDgEjIiYnBiMiLgIlNC4CIyIGB1gNGiYaFiUaDg4aJRYaJhoNTRswQCUvRRQUQTAiNSMSAQLxBDo2GicUHRc7IzBIFitdJkAvGwIFCBIeFi0wBvMqRTEcHDFFKipEMhsbMkQqPV9BIj04Nz4kPFEtDhcQTF0RDjYRGjk3cCJBX2AfOCsZU0gA%2F%2F8AqAI9AbAC0RIGAMwAAP%2F%2FAM8CHgGJAtcSBgDQAAD%2F%2FwCeAkMBugKwEgYAzQAAAAEAuQI9AW0C0QADAAsAugABAAMAAyswMRMzFyO5Wlo%2FAtGUAAEA6wI9AZ8C0QADAAsAugACAAAAAyswMQEjNzMBKj9aWgI9lAAAAAABAKgCPQGwAtEABwAZALsAAQABAAQABCu4AAQQuAAD3LgABtAwMQEzFyMnIwcjAQlGYT9DBEM%2FAtGUY2MAAAAAAQCeAkMBugKwABYAJwC7AAgAAQAOAAQruAAOELgAE9y5AAMAAfS4AArQuAAOELgAFdAwMRM%2BATMyHgIzMjczDgEjIi4CIyIHI54FKygSHhkYDB8JLwUrKBIeGRgMHwkvAkMwPREUETYvPhEVETcAAAEAsQJZAacCkgADAA0AuwABAAEAAgAEKzAxEzMVI7H29gKSOQAAAAACAJYCTAHCAroACwAXAB0AuwAAAAEABgAEK7gAABC4AAzQuAAGELgAEtAwMRMiJjU0NjMyFhUUBjMiJjU0NjMyFhUUBswYHh4YFx8fqRcfHxcYHh4CTCAXFyAgFxcgIBcXICAXFyAAAAIAzwIeAYkC1wALABcAFwC6AAwAAAADK7gADBC4ABLcuAAG3DAxASImNTQ2MzIWFRQGJzI2NTQmIyIGFRQWASwpNDQpKTQ0KRQcHBQUHBwCHjMqKjIyKiozJR4aGR4eGRoeAAABANf%2FKwFwAAMAEQAdALoAAQACAAMruAACELgAEdC4AAvcuQAKAAH0MDElMwceARUUDgIHJz4BNTQmJwEZNRkYIxgoNRwIKDEhHgM1CCAfFiAWDQMpBRcUFBUIAAIApwD8AboCTgAZACMAOQC4ABIvuwAdAAEAFwAEK7sADQABAAYABCu7AAMAAQAhAAQrugATAA0AFxESObgAExC5ACAAAfQwMRM0NjcuASMiBgcnPgEzMhYdASMnIw4BIyImNxQWMzI2NzUOAadmbQEeJx00FhkaSCg%2FPTQFAhg5ICs8PyIZFysXUUMBWTU4Cx4sFQ0rDxtIP8MlExoyLxgXFRNSCSUAAAIAjgD8AcoCTgATAB8AFwC7ABcAAQAPAAQruwAFAAEAHQAEKzAxEzQ%2BAjMyHgIVFA4CIyIuAjcUFjMyNjU0JiMiBo4aKzkgIDksGRksOSAgOSsaQjErKzExKysxAaUoPysXFys%2FKCg%2FKxcXKz8oNUBANTRBQQAAAAEAUADYAggBIAADAA0AuwABAAEAAgAEKzAxEyEVIVABuP5IASBIAAABABQA2AJEASAAAwANALsAAQABAAIABCswMRMhFSEUAjD90AEgSAAAAQDRAV4BfAK7ABEACwC6AAUACwADKzAxAQ4BBzYzMhYVFAYjIiY1NDY3AXwvNQMMDh8nKiAnM0xEAosbTzQGKCAjKj85S3cjAAAAAAEA2QFeAYQCuwARAAsAugAFAAsAAyswMRM%2BATcGIyImNTQ2MzIWFRQGB9kwNQMMDiAnKiAoMkxDAY4aTzUGJyAjK0A5S3Yj%2F%2F8A2f8fAYQAfBIHANcAAP3BAAD%2F%2FwBfAV4B7wK7EiYA1o4AEAYA1nMAAAD%2F%2FwBnAV4B9wK7EiYA144AEAYA13MAAAD%2F%2FwBn%2Fx8B9wB8EicA1%2F%2BO%2FcEQBwDXAHP9wQAAAAEAlwBzAcEBmQATAAsAugAKAAAAAyswMSUiLgI1ND4CMzIeAhUUDgIBLB42KRgYKTYeHjYpGBgpNnMVJzYhITYnFRUnNiEhNicVAAABAMUANAGFAcQABgALALoAAgAGAAMrMDE3NTcXBxcHxZknf38n1FCgI6WmIgAAAAABANMANAGTAcQABgALALoAAgAFAAMrMDElJzcXFQcnAVJ%2FJ5mZJ%2FylI6BQoCIAAAACABwAIAI8AnAAAwAHAAsAugAHAAMAAyswMT8BFwcBByc3HLchpwHvtyGnTbweywIjvB7LAAAA%2F%2F8ArAG4AbkC6RIHAOgAAAG4AAAAAQA6%2F%2FQCNgKKADEAbQC4AABFWLgAFS8buQAVAAs%2BWbgAAEVYuAADLxu5AAMAAz5ZugAoACIAAyu4ACgQuQArAAH0uAAG0LgAKBC4AAnQuAAiELgAD9C4ACIQuQAfAAH0uAAS0LgAFRC5ABwAAfS4AAMQuQAuAAH0MDElDgEjIiYnIzU3JjQ1PAE3IzU3PgEzMhYXBy4BIyIGByEVIQYUFRwBFyEVIx4BMzI2NwI2Jlw%2BYocTQDsBATtAE41qM1geMRo7JkpaDgEm%2FtUBAQED%2FQ5YRStBHlEsMYF2KwQJEgkIEAgsBXaFLSEvGiFiVzEHDggKEwkwVWAkIwAAAQBVASsCAwFpAAMADQC7AAEAAQACAAQrMDETIRUhVQGu%2FlIBaT4A%2F%2F8AHAAgAjwCcBIGAN8AAAACAKH%2F9AG3AT0ACwAXACgAuAAARVi4AAAvG7kAAAADPlm7AAYAAQASAAQruAAAELkADAAB9DAxBSImNTQ2MzIWFRQGJzI2NTQmIyIGFRQWASw9Tk49PU5OPSAuLiAgLi4MWE9OVFROT1gyOTw8NTU8PDkAAAEA0AAAAWEBMQAIAB4AuAAARVi4AAgvG7kACAADPlm7AAUAAQAAAAQrMDElIzU%2BATczESMBIlIhKRUyP%2BYqBRAM%2Fs8AAQCtAAABpgE9ABgALAC4AABFWLgAFy8buQAXAAM%2BWbsADQABAAYABCu4ABcQuQAVAAH0uAAA0DAxNz4BNTQmIyIGByc%2BATMyFhUUDgIHMxUjt05THx0UJg4nFzskNj4TISwZiO8kO04hGyAXEyEaIzUyFCcnKRY1AAAAAAEArP%2F0AaQBPQAkADwAuAAARVi4ACEvG7kAIQADPlm7ABYAAQAPAAQruwAJAAEACAAEK7gAIRC5AAMAAfS6ABsACAAJERI5MDE3HgEzMjY1NCM1MjY1NCYjIgYHJz4BMzIWFRQHHgEVFAYjIiYnzA8xGxsjYConGh0SKA8eEz0jLzs4ICdGMyNDGVESGRYZMyYcFxQXEw8mFBksKDcUCCYfLTAcGgAAAAIArAAAAbkBMQAFABAAOAC4AABFWLgACS8buQAJAAM%2BWbsAEAABAAYABCu7AAIAAQANAAQruAAQELgAANC4AAYQuAAK0DAxJTU3Iw8BFyMVIzUjNTczFTMBTgQDLTbNMjmilEcydDhSQUkrSUkfyb0AAAAAAQCpAsIBXwMyAAMACwC6AAEAAwADKzAxEzMXI6leWEUDMnAAAQD5AsIBrwMyAAMACwC6AAIAAAADKzAxASM3MwE%2BRVheAsJwAAAAAAEApALCAbQDMgAHABkAuwACAAEABQAEK7gABRC4AATcuAAH0DAxEzczFyMnIwekYFBgQ0MEQwLCcHBERAAAAAABAJsCxwG9AzMAFwArALsAEQABAAAABCu4AAAQuAAF3LgAABC4AAjQuAAFELkADAAB9LgAFNAwMQEiLgIjIgYHIz4BMzIeAjMyNjczDgEBaBQgGxoODhYELgUsJBQgGxoODhYELgUsAscQFBAaGi89EBQQGxkuPgACAKUCywGzAy0ACwAXAB0AuwAGAAEAAAAEK7gAABC4AAzQuAAGELgAEtAwMRMiJjU0NjMyFhUUBjMiJjU0NjMyFhUUBtYWGxsWFRwclxUcHBUWGxsCyxwVFhsbFhUcHBUWGxsWFRwAAAIAzwK7AYkDawALABcAFwC6AAwAAAADK7gADBC4ABLcuAAG3DAxASImNTQ2MzIWFRQGJzI2NTQmIyIGFRQWASwpNDQpKDU1KBMcHBMUHBwCuy8pKDAwKCkvJBsZFxwcFxkbAAABANL%2FKwFrAAMAEQAdALoAAQACAAMruAACELgAEdC4AAvcuQAKAAH0MDElMwceARUUDgIHJz4BNTQmJwETNhkYIxgoNRwIKDEhHwM1CCAfFiAWDQMpBRcUFBUIAAAAGgE%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<script src="data:application/x-javascript;base64,/*
 * Hammer.JS
 * version 0.4
 * author: Eight Media
 * https://github.com/EightMedia/hammer.js
 */
function Hammer(element, options, undefined)
{
    var self = this;

    var defaults = {
        // prevent the default event or not... might be buggy when false
        prevent_default    : false,
        css_hacks          : true,

        drag               : true,
        drag_vertical      : true,
        drag_horizontal    : true,
        // minimum distance before the drag event starts
        drag_min_distance  : 20, // pixels

        // pinch zoom and rotation
        transform          : true,
        scale_treshold     : 0.1,
        rotation_treshold  : 15, // degrees

        tap                : true,
        tap_double         : true,
        tap_max_interval   : 300,
        tap_double_distance: 20,

        hold               : true,
        hold_timeout       : 500
    };
    options = mergeObject(defaults, options);

    // some css hacks
    (function() {
        if(!options.css_hacks) {
            return false;
        }

        var vendors = ['webkit','moz','ms','o',''];
        var css_props = {
            "userSelect": "none",
            "touchCallout": "none",
            "userDrag": "none",
            "tapHighlightColor": "rgba(0,0,0,0)"
        };

        var prop = '';
        for(var i = 0; i < vendors.length; i++) {
            for(var p in css_props) {
                prop = p;
                if(vendors[i]) {
                    prop = vendors[i] + prop.substring(0, 1).toUpperCase() + prop.substring(1);
                }
                element.style[ prop ] = css_props[p];
            }
        }
    })();

    // holds the distance that has been moved
    var _distance = 0;

    // holds the exact angle that has been moved
    var _angle = 0;

    // holds the diraction that has been moved
    var _direction = 0;

    // holds position movement for sliding
    var _pos = { };

    // how many fingers are on the screen
    var _fingers = 0;

    var _first = false;

    var _gesture = null;
    var _prev_gesture = null;

    var _touch_start_time = null;
    var _prev_tap_pos = {x: 0, y: 0};
    var _prev_tap_end_time = null;

    var _hold_timer = null;

    var _offset = {};

    // keep track of the mouse status
    var _mousedown = false;

    var _event_start;
    var _event_move;
    var _event_end;


    /**
     * angle to direction define
     * @param  float    angle
     * @return string   direction
     */
    this.getDirectionFromAngle = function( angle )
    {
        var directions = {
            down: angle >= 45 && angle < 135, //90
            left: angle >= 135 || angle <= -135, //180
            up: angle < -45 && angle > -135, //270
            right: angle >= -45 && angle <= 45 //0
        };

        var direction, key;
        for(key in directions){
            if(directions[key]){
                direction = key;
                break;
            }
        }
        return direction;
    };


    /**
     * count the number of fingers in the event
     * when no fingers are detected, one finger is returned (mouse pointer)
     * @param  event
     * @return int  fingers
     */
    function countFingers( event )
    {
        // there is a bug on android (until v4?) that touches is always 1,
        // so no multitouch is supported, e.g. no, zoom and rotation...
        return event.touches ? event.touches.length : 1;
    }


    /**
     * get the x and y positions from the event object
     * @param  event
     * @return array  [{ x: int, y: int }]
     */
    function getXYfromEvent( event )
    {
        event = event || window.event;

        // no touches, use the event pageX and pageY
        if(!event.touches) {
            var doc = document,
                body = doc.body;

            return [{
                x: event.pageX || event.clientX + ( doc && doc.scrollLeft || body && body.scrollLeft || 0 ) - ( doc && doc.clientLeft || body && doc.clientLeft || 0 ),
                y: event.pageY || event.clientY + ( doc && doc.scrollTop || body && body.scrollTop || 0 ) - ( doc && doc.clientTop || body && doc.clientTop || 0 )
            }];
        }
        // multitouch, return array with positions
        else {
            var pos = [], src;
            for(var t=0, len=event.touches.length; t<len; t++) {
                src = event.touches[t];
                pos.push({ x: src.pageX, y: src.pageY });
            }
            return pos;
        }
    }


    /**
     * calculate the angle between two points
     * @param object pos1 { x: int, y: int }
     * @param object pos2 { x: int, y: int }
     */
    function getAngle( pos1, pos2 )
    {
        return Math.atan2(pos2.y - pos1.y, pos2.x - pos1.x) * 180 / Math.PI;
    }

    /**
     * trigger an event/callback by name with params
     * @param string name
     * @param array  params
     */
    function triggerEvent( eventName, params )
    {
        // return touches object
        params.touches = getXYfromEvent(params.originalEvent);
        params.type = eventName;

        // trigger callback
        if(isFunction(self["on"+ eventName])) {
            self["on"+ eventName].call(self, params);
        }
    }


    /**
     * cancel event
     * @param   object  event
     * @return  void
     */

    function cancelEvent(event){
        event = event || window.event;
        if(event.preventDefault){
            event.preventDefault();
        }else{
            event.returnValue = false;
            event.cancelBubble = true;
        }
    }


    /**
     * reset the internal vars to the start values
     */
    function reset()
    {
        _pos = {};
        _first = false;
        _fingers = 0;
        _distance = 0;
        _angle = 0;
        _gesture = null;
    }


    var gestures = {
        // hold gesture
        // fired on touchstart
        hold : function(event)
        {
            // only when one finger is on the screen
            if(options.hold) {
                _gesture = 'hold';
                clearTimeout(_hold_timer);

                _hold_timer = setTimeout(function() {
                    if(_gesture == 'hold') {
                        triggerEvent("hold", {
                            originalEvent   : event,
                            position        : _pos.start
                        });
                    }
                }, options.hold_timeout);
            }
        },


        // drag gesture
        // fired on mousemove
        drag : function(event)
        {
            // get the distance we moved
            var _distance_x = _pos.move[0].x - _pos.start[0].x;
            var _distance_y = _pos.move[0].y - _pos.start[0].y;
            _distance = Math.sqrt(_distance_x * _distance_x + _distance_y * _distance_y);

            // drag
            // minimal movement required
            if(options.drag && (_distance > options.drag_min_distance) || _gesture == 'drag') {
                // calculate the angle
                _angle = getAngle(_pos.start[0], _pos.move[0]);
                _direction = self.getDirectionFromAngle(_angle);

                // check the movement and stop if we go in the wrong direction
                var is_vertical = (_direction == 'up' || _direction == 'down');
                if(((is_vertical && !options.drag_vertical) || (!is_vertical && !options.drag_horizontal))
                    && (_distance > options.drag_min_distance)) {
                    return;
                }

                _gesture = 'drag';

                var position = { x: _pos.move[0].x - _offset.left,
                    y: _pos.move[0].y - _offset.top };

                var event_obj = {
                    originalEvent   : event,
                    position        : position,
                    direction       : _direction,
                    distance        : _distance,
                    distanceX       : _distance_x,
                    distanceY       : _distance_y,
                    angle           : _angle
                };

                // on the first time trigger the start event
                if(_first) {
                    triggerEvent("dragstart", event_obj);

                    _first = false;
                }

                // normal slide event
                triggerEvent("drag", event_obj);

                cancelEvent(event);
            }
        },


        // transform gesture
        // fired on touchmove
        transform : function(event)
        {
            if(options.transform) {
                var scale = event.scale || 1;
                var rotation = event.rotation || 0;

                if(countFingers(event) != 2) {
                    return false;
                }

                if(_gesture != 'drag' &&
                    (_gesture == 'transform' || Math.abs(1-scale) > options.scale_treshold
                        || Math.abs(rotation) > options.rotation_treshold)) {
                    _gesture = 'transform';

                    _pos.center = {  x: ((_pos.move[0].x + _pos.move[1].x) / 2) - _offset.left,
                        y: ((_pos.move[0].y + _pos.move[1].y) / 2) - _offset.top };

                    var event_obj = {
                        originalEvent   : event,
                        position        : _pos.center,
                        scale           : scale,
                        rotation        : rotation
                    };

                    // on the first time trigger the start event
                    if(_first) {
                        triggerEvent("transformstart", event_obj);
                        _first = false;
                    }

                    triggerEvent("transform", event_obj);

                    cancelEvent(event);

                    return true;
                }
            }

            return false;
        },


        // tap and double tap gesture
        // fired on touchend
        tap : function(event)
        {
            // compare the kind of gesture by time
            var now = new Date().getTime();
            var touch_time = now - _touch_start_time;

            // dont fire when hold is fired
            if(options.hold && !(options.hold && options.hold_timeout > touch_time)) {
                return;
            }

            // when previous event was tap and the tap was max_interval ms ago
            var is_double_tap = (function(){
                if (_prev_tap_pos && options.tap_double && _prev_gesture == 'tap' && (_touch_start_time - _prev_tap_end_time) < options.tap_max_interval) {
                    var x_distance = Math.abs(_prev_tap_pos[0].x - _pos.start[0].x);
                    var y_distance = Math.abs(_prev_tap_pos[0].y - _pos.start[0].y);
                    return (_prev_tap_pos && _pos.start && Math.max(x_distance, y_distance) < options.tap_double_distance);

                }
                return false;
            })();

            if(is_double_tap) {
                _gesture = 'double_tap';
                _prev_tap_end_time = null;

                triggerEvent("doubletap", {
                    originalEvent   : event,
                    position        : _pos.start
                });
                cancelEvent(event);
            }

            // single tap is single touch
            else {
                _gesture = 'tap';
                _prev_tap_end_time = now;
                _prev_tap_pos = _pos.start;

                if(options.tap) {
                    triggerEvent("tap", {
                        originalEvent   : event,
                        position        : _pos.start
                    });
                    cancelEvent(event);
                }
            }

        }

    };


    function handleEvents(event)
    {
        switch(event.type)
        {
            case 'mousedown':
            case 'touchstart':
                _pos.start = getXYfromEvent(event);
                _touch_start_time = new Date().getTime();
                _fingers = countFingers(event);
                _first = true;
                _event_start = event;

                // borrowed from jquery offset https://github.com/jquery/jquery/blob/master/src/offset.js
                var box = element.getBoundingClientRect();
                var clientTop  = element.clientTop  || document.body.clientTop  || 0;
                var clientLeft = element.clientLeft || document.body.clientLeft || 0;
                var scrollTop  = window.pageYOffset || element.scrollTop  || document.body.scrollTop;
                var scrollLeft = window.pageXOffset || element.scrollLeft || document.body.scrollLeft;

                _offset = {
                    top: box.top + scrollTop - clientTop,
                    left: box.left + scrollLeft - clientLeft
                };

                _mousedown = true;

                // hold gesture
                gestures.hold(event);

                if(options.prevent_default) {
                    cancelEvent(event);
                }
                break;

            case 'mousemove':
            case 'touchmove':
                if(!_mousedown) {
                    return false;
                }
                _event_move = event;
                _pos.move = getXYfromEvent(event);

                if(!gestures.transform(event)) {
                    gestures.drag(event);
                }
                break;

            case 'mouseup':
            case 'mouseout':
            case 'touchcancel':
            case 'touchend':
                if(!_mousedown || (_gesture != 'transform' && event.touches && event.touches.length > 0)) {
                    return false;
                }

                _mousedown = false;
                _event_end = event;

                // drag gesture
                // dragstart is triggered, so dragend is possible
                if(_gesture == 'drag') {
                    triggerEvent("dragend", {
                        originalEvent   : event,
                        direction       : _direction,
                        distance        : _distance,
                        angle           : _angle
                    });
                }

                // transform
                // transformstart is triggered, so transformed is possible
                else if(_gesture == 'transform') {
                    triggerEvent("transformend", {
                        originalEvent   : event,
                        position        : _pos.center,
                        scale           : event.scale,
                        rotation        : event.rotation
                    });
                }
                else {
                    gestures.tap(_event_start);
                }

                _prev_gesture = _gesture;

                // reset vars
                reset();
                break;
        }
    }


    // bind events for touch devices
    // except for windows phone 7.5, it doesnt support touch events..!
    if('ontouchstart' in window) {
        element.addEventListener("touchstart", handleEvents, false);
        element.addEventListener("touchmove", handleEvents, false);
        element.addEventListener("touchend", handleEvents, false);
        element.addEventListener("touchcancel", handleEvents, false);
    }
    // for non-touch
    else {

        if(element.addEventListener){ // prevent old IE errors
            element.addEventListener("mouseout", function(event) {
                if(!isInsideHammer(element, event.relatedTarget)) {
                    handleEvents(event);
                }
            }, false);
            element.addEventListener("mouseup", handleEvents, false);
            element.addEventListener("mousedown", handleEvents, false);
            element.addEventListener("mousemove", handleEvents, false);

            // events for older IE
        }else if(document.attachEvent){
            element.attachEvent("onmouseout", function(event) {
                if(!isInsideHammer(element, event.relatedTarget)) {
                    handleEvents(event);
                }
            }, false);
            element.attachEvent("onmouseup", handleEvents);
            element.attachEvent("onmousedown", handleEvents);
            element.attachEvent("onmousemove", handleEvents);
        }
    }


    /**
     * find if element is (inside) given parent element
     * @param   object  element
     * @param   object  parent
     * @return  bool    inside
     */
    function isInsideHammer(parent, child) {
        // get related target for IE
        if(!child && window.event && window.event.toElement){
            child = window.event.toElement;
        }

        if(parent === child){
            return true;
        }

        // loop over parentNodes of child until we find hammer element
        if(child){
            var node = child.parentNode;
            while(node !== null){
                if(node === parent){
                    return true;
                };
                node = node.parentNode;
            }
        }
        return false;
    }


    /**
     * merge 2 objects into a new object
     * @param   object  obj1
     * @param   object  obj2
     * @return  object  merged object
     */
    function mergeObject(obj1, obj2) {
        var output = {};

        if(!obj2) {
            return obj1;
        }

        for (var prop in obj1) {
            if (prop in obj2) {
                output[prop] = obj2[prop];
            } else {
                output[prop] = obj1[prop];
            }
        }
        return output;
    }

    function isFunction( obj ){
        return Object.prototype.toString.call( obj ) == "[object Function]";
    }
}"></script>
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<script src="data:application/x-javascript;base64,/**
 * @authors Luke Mahe
 * @authors Eric Bidelman
 * @fileoverview TODO
 */
document.cancelFullScreen = document.webkitCancelFullScreen ||
                            document.mozCancelFullScreen;

/**
 * @constructor
 */
function SlideDeck(el) {
  this.curSlide_ = 0;
  this.prevSlide_ = 0;
  this.config_ = null;
  this.container = el || document.querySelector('slides');
  this.slides = [];
  this.controller = null;

  this.getCurrentSlideFromHash_();

  // Call this explicitly. Modernizr.load won't be done until after DOM load.
  this.onDomLoaded_.bind(this)();
}

/**
 * @const
 * @private
 */
SlideDeck.prototype.SLIDE_CLASSES_ = [
  'far-past', 'past', 'current', 'next', 'far-next'];

/**
 * @const
 * @private
 */
SlideDeck.prototype.CSS_DIR_ = 'theme/css/';

/**
 * @private
 */
SlideDeck.prototype.getCurrentSlideFromHash_ = function() {
  var slideNo = parseInt(document.location.hash.substr(1));

  if (slideNo) {
    this.curSlide_ = slideNo - 1;
  } else {
    this.curSlide_ = 0;
  }
};

/**
 * @param {number} slideNo
 */
SlideDeck.prototype.loadSlide = function(slideNo) {
  if (slideNo) {
    this.curSlide_ = slideNo - 1;
    this.updateSlides_();
  }
};

/**
 * @private
 */
SlideDeck.prototype.onDomLoaded_ = function(e) {
  document.body.classList.add('loaded'); // Add loaded class for templates to use.

  this.slides = this.container.querySelectorAll('slide:not([hidden]):not(.hidden):not(.backdrop)');

  // If we're on a smartphone, apply special sauce.
  if (Modernizr.mq('only screen and (max-device-width: 480px)')) {
    // var style = document.createElement('link');
    // style.rel = 'stylesheet';
    // style.type = 'text/css';
    // style.href = this.CSS_DIR_ + 'phone.css';
    // document.querySelector('head').appendChild(style);

    // No need for widescreen layout on a phone.
    this.container.classList.remove('layout-widescreen');
  }

  this.loadConfig_(SLIDE_CONFIG);
  this.addEventListeners_();
  this.updateSlides_();

  // Add slide numbers and total slide count metadata to each slide.
  var that = this;
  for (var i = 0, slide; slide = this.slides[i]; ++i) {
    slide.dataset.slideNum = i + 1;
    slide.dataset.totalSlides = this.slides.length;

    slide.addEventListener('click', function(e) {
      if (document.body.classList.contains('overview')) {
        that.loadSlide(this.dataset.slideNum);
        e.preventDefault();
        window.setTimeout(function() {
          that.toggleOverview();
        }, 500);
      }
    }, false);
  }

  // Note: this needs to come after addEventListeners_(), which adds a
  // 'keydown' listener that this controller relies on.

  // Modernizr.touch isn't a sufficient check for devices that support both
  // touch and mouse. Create the controller in all cases.
  // // Also, no need to set this up if we're on mobile.
  // if (!Modernizr.touch) {
    this.controller = new SlideController(this);
    if (this.controller.isPopup) {
      document.body.classList.add('popup');
    }
  //}
};

/**
 * @private
 */
SlideDeck.prototype.addEventListeners_ = function() {
  document.addEventListener('keydown', this.onBodyKeyDown_.bind(this), true);
  window.addEventListener('popstate', this.onPopState_.bind(this), false);

  // var transEndEventNames = {
  //   'WebkitTransition': 'webkitTransitionEnd',
  //   'MozTransition': 'transitionend',
  //   'OTransition': 'oTransitionEnd',
  //   'msTransition': 'MSTransitionEnd',
  //   'transition': 'transitionend'
  // };
  //
  // // Find the correct transitionEnd vendor prefix.
  // window.transEndEventName = transEndEventNames[
  //     Modernizr.prefixed('transition')];
  //
  // // When slides are done transitioning, kickoff loading iframes.
  // // Note: we're only looking at a single transition (on the slide). This
  // // doesn't include autobuilds the slides may have. Also, if the slide
  // // transitions on multiple properties (e.g. not just 'all'), this doesn't
  // // handle that case.
  // this.container.addEventListener(transEndEventName, function(e) {
  //     this.enableSlideFrames_(this.curSlide_);
  // }.bind(this), false);

  // document.addEventListener('slideenter', function(e) {
  //   var slide = e.target;
  //   window.setTimeout(function() {
  //     this.enableSlideFrames_(e.slideNumber);
  //     this.enableSlideFrames_(e.slideNumber + 1);
  //   }.bind(this), 300);
  // }.bind(this), false);
};

/**
 * @private
 * @param {Event} e The pop event.
 */
SlideDeck.prototype.onPopState_ = function(e) {
  if (e.state != null) {
    this.curSlide_ = e.state;
    this.updateSlides_(true);
  }
};

/**
 * @param {Event} e
 */
SlideDeck.prototype.onBodyKeyDown_ = function(e) {

  // Don't handle keys if an input or text area is active. Do special handling
  // for selectize because it keeps focus within an offscreen textbox even
  // when just the select control is showing -- for selectize we refrain from
  // handling keys only when the text input is active or when the up or down
  // arrow key is pressed (which is used to open the list from the keyboard)
  var parentNode = e.target.parentNode || e.target; // handle no parent
  if (parentNode.classList && parentNode.classList.contains('selectize-input')) {
    if (parentNode.classList.contains('input-active') ||  // text input is active
       (e.keyCode == 38) || (e.keyCode == 40))            // up or down arrow
      return;
  } else if (/^(input|textarea)$/i.test(e.target.nodeName) ||
      e.target.isContentEditable) {
    return;
  }

  // Forward keydowns to the main slides if we're the popup.
  if (this.controller && this.controller.isPopup) {
    this.controller.sendMsg({keyCode: e.keyCode});
  }

  switch (e.keyCode) {
    case 13: // Enter
      if (document.body.classList.contains('overview')) {
        this.toggleOverview();
      }
      break;

    case 39: // right arrow
    case 32: // space
    case 34: // PgDn
      this.nextSlide();
      e.preventDefault();
      break;

    case 37: // left arrow
    case 8: // Backspace
    case 33: // PgUp
      this.prevSlide();
      e.preventDefault();
      break;

    case 40: // down arrow
      this.nextSlide();
      e.preventDefault();
      break;

    case 38: // up arrow
      this.prevSlide();
      e.preventDefault();
      break;

    case 72: // H: Toggle code highlighting
      document.body.classList.toggle('highlight-code');
      break;

    case 79: // O: Toggle overview
      this.toggleOverview();
      break;

    case 80: // P
      if (this.controller && this.controller.isPopup) {
        document.body.classList.toggle('with-notes');
      } else if (this.controller && !this.controller.popup) {
        document.body.classList.toggle('with-notes');
      }
      break;

    case 82: // R
      // TODO: implement refresh on main slides when popup is refreshed.
      break;

    case 27: // ESC: Hide notes and highlighting
      document.body.classList.remove('with-notes');
      document.body.classList.remove('highlight-code');

      if (document.body.classList.contains('overview')) {
        this.toggleOverview();
      }
      break;

    case 70: // F: Toggle fullscreen
       // Only respect 'f' on body. Don't want to capture keys from an <input>.
       // Also, ignore browser's fullscreen shortcut (cmd+shift+f) so we don't
       // get trapped in fullscreen!
      if (document.cancelFullScreen !== undefined && e.target == document.body && !(e.shiftKey && e.metaKey)) {
        if (document.mozFullScreen !== undefined && !document.mozFullScreen) {
          document.body.mozRequestFullScreen(Element.ALLOW_KEYBOARD_INPUT);
        } else if (document.webkitIsFullScreen !== undefined && !document.webkitIsFullScreen) {
          document.body.webkitRequestFullScreen(Element.ALLOW_KEYBOARD_INPUT);
        } else {
          document.cancelFullScreen();
        }
      }
      break;

    case 87: // W: Toggle widescreen
      // Only respect 'w' on body. Don't want to capture keys from an <input>.
      if (e.target == document.body && !(e.shiftKey && e.metaKey)) {
        this.container.classList.toggle('layout-widescreen');
      }
      break;
  }
};

/**
 *
 */
SlideDeck.prototype.focusOverview_ = function() {
  var overview = document.body.classList.contains('overview');

  for (var i = 0, slide; slide = this.slides[i]; i++) {
    slide.style[Modernizr.prefixed('transform')] = overview ?
        'translateZ(-2500px) translate(' + (( i - this.curSlide_ ) * 105) +
                                       '%, 0%)' : '';
  }
};

/**
 */
SlideDeck.prototype.toggleOverview = function() {
  document.body.classList.toggle('overview');

  this.focusOverview_();
};

/**
 * @private
 */
SlideDeck.prototype.loadConfig_ = function(config) {
  if (!config) {
    return;
  }

  this.config_ = config;

  var settings = this.config_.settings;

  this.loadTheme_(settings.theme || []);

  if (settings.favIcon) {
    this.addFavIcon_(settings.favIcon);
  }

  // Prettyprint. Default to on.
  if (!!!('usePrettify' in settings) || settings.usePrettify) {
    prettyPrint();
  }

  if (settings.analytics) {
    this.loadAnalytics_();
  }

  if (settings.fonts) {
    this.addFonts_(settings.fonts);
  }

  // Builds. Default to on.
  if (!!!('useBuilds' in settings) || settings.useBuilds) {
    this.makeBuildLists_();
  }

  if (settings.title) {
    document.title = settings.title.replace(/<br\/?>/, ' ');
    if (settings.eventInfo && settings.eventInfo.title) {
      document.title +=  ' - ' + settings.eventInfo.title;
    }
    document.querySelector('[data-config-title]').innerHTML = settings.title;
  }

  if (settings.subtitle) {
    document.querySelector('[data-config-subtitle]').innerHTML = settings.subtitle;
  }

  if (this.config_.presenters) {
    var presenters = this.config_.presenters;
    var dataConfigContact = document.querySelector('[data-config-contact]');

    var html = [];
    if (presenters.length == 1) {
      var p = presenters[0];

      var presenterTitle = [p.name];
      if (p.company) {
        presenterTitle.push(p.company);
      }
      html = presenterTitle.join(' - ') + '<br>';

      var gplus = p.gplus ? '<span>g+</span><a href="' + p.gplus +
          '">' + p.gplus.replace(/https?:\/\//, '') + '</a>' : '';

      var twitter = p.twitter ? '<span>twitter</span>' +
          '<a href="http://twitter.com/' + p.twitter + '">' +
          p.twitter + '</a>' : '';

      var www = p.www ? '<span>www</span><a href="' + p.www +
                        '">' + p.www.replace(/https?:\/\//, '') + '</a>' : '';

      var github = p.github ? '<span>github</span><a href="' + p.github +
          '">' + p.github.replace(/https?:\/\//, '') + '</a>' : '';

      var html2 = [gplus, twitter, www, github].join('<br>');

      if (dataConfigContact) {
        dataConfigContact.innerHTML = html2;
      }
    } else {
      for (var i = 0, p; p = presenters[i]; ++i) {
        html.push(p.name + ' - ' + p.company);
      }
      html = html.join('<br>');
      if (dataConfigContact) {
        dataConfigContact.innerHTML = html;
      }
    }

    var dataConfigPresenter = document.querySelector('[data-config-presenter]');
    if (dataConfigPresenter) {
      dataConfigPresenter.innerHTML = html;
      if (settings.eventInfo) {
        var date = settings.eventInfo.date;
        var dateInfo = date ? ' - <time>' + date + '</time>' : '';
        dataConfigPresenter.innerHTML += settings.eventInfo.title + dateInfo;
      }
    }
  }

  /* Left/Right tap areas. Default to including. */
  if (!!!('enableSlideAreas' in settings) || settings.enableSlideAreas) {
    var el = document.createElement('div');
    el.classList.add('slide-area');
    el.id = 'prev-slide-area';
    el.addEventListener('click', this.prevSlide.bind(this), false);
    this.container.appendChild(el);

    var el = document.createElement('div');
    el.classList.add('slide-area');
    el.id = 'next-slide-area';
    el.addEventListener('click', this.nextSlide.bind(this), false);
    this.container.appendChild(el);
  }

  if (Modernizr.touch && (!!!('enableTouch' in settings) ||
      settings.enableTouch)) {
    var self = this;

    // Note: this prevents mobile zoom in/out but prevents iOS from doing
    // it's crazy scroll over effect and disaligning the slides.
    window.addEventListener('touchstart', function(e) {
      e.preventDefault();
    }, false);

    var hammer = new Hammer(this.container);
    hammer.ondragend = function(e) {
      if (e.direction == 'right' || e.direction == 'down') {
        self.prevSlide();
      } else if (e.direction == 'left' || e.direction == 'up') {
        self.nextSlide();
      }
    };
  }
};

/**
 * @private
 * @param {Array.<string>} fonts
 */
SlideDeck.prototype.addFonts_ = function(fonts) {
  var el = document.createElement('link');
  el.rel = 'stylesheet';
  el.href = ('https:' == document.location.protocol ? 'https' : 'http') +
      '://fonts.googleapis.com/css?family=' + fonts.join('|') + '&v2';
  document.querySelector('head').appendChild(el);
};

/**
 * @private
 */
SlideDeck.prototype.buildNextItem_ = function() {
  var slide = this.slides[this.curSlide_];
  var toBuild = slide.querySelector('.to-build');
  var built = slide.querySelector('.build-current');

  if (built) {
    built.classList.remove('build-current');
    if (built.classList.contains('fade')) {
      built.classList.add('build-fade');
    }
  }

  if (!toBuild) {
    var items = slide.querySelectorAll('.build-fade');
    for (var j = 0, item; item = items[j]; j++) {
      item.classList.remove('build-fade');
    }
    return false;
  }

  toBuild.classList.remove('to-build');
  toBuild.classList.add('build-current');

  return true;
};

/**
 * @param {boolean=} opt_dontPush
 */
SlideDeck.prototype.prevSlide = function(opt_dontPush) {
  if (this.curSlide_ > 0) {
    var bodyClassList = document.body.classList;
    bodyClassList.remove('highlight-code');

    // Toggle off speaker notes if they're showing when we move backwards on the
    // main slides. If we're the speaker notes popup, leave them up.
    if (this.controller && !this.controller.isPopup) {
      bodyClassList.remove('with-notes');
    } else if (!this.controller) {
      bodyClassList.remove('with-notes');
    }

    this.prevSlide_ = this.curSlide_--;

    this.updateSlides_(opt_dontPush);
  }
};

/**
 * @param {boolean=} opt_dontPush
 */
SlideDeck.prototype.nextSlide = function(opt_dontPush) {
  if (!document.body.classList.contains('overview') && this.buildNextItem_()) {
    return;
  }

  if (this.curSlide_ < this.slides.length - 1) {
    var bodyClassList = document.body.classList;
    bodyClassList.remove('highlight-code');

    // Toggle off speaker notes if they're showing when we advanced on the main
    // slides. If we're the speaker notes popup, leave them up.
    if (this.controller && !this.controller.isPopup) {
      bodyClassList.remove('with-notes');
    } else if (!this.controller) {
      bodyClassList.remove('with-notes');
    }

    this.prevSlide_ = this.curSlide_++;

    this.updateSlides_(opt_dontPush);
  }
};

/* Slide events */

/**
 * Triggered when a slide enter/leave event should be dispatched.
 *
 * @param {string} type The type of event to trigger
 *     (e.g. 'slideenter', 'slideleave').
 * @param {number} slideNo The index of the slide that is being left.
 */
SlideDeck.prototype.triggerSlideEvent = function(type, slideNo) {
  var el = this.getSlideEl_(slideNo);
  if (!el) {
    return;
  }

  // Call onslideenter/onslideleave if the attribute is defined on this slide.
  var func = el.getAttribute(type);
  if (func) {
    new Function(func).call(el); // TODO: Don't use new Function() :(
  }

  // Dispatch event to listeners setup using addEventListener.
  var evt = document.createEvent('Event');
  evt.initEvent(type, true, true);
  evt.slideNumber = slideNo + 1; // Make it readable
  evt.slide = el;

  el.dispatchEvent(evt);
};

/**
 * @private
 */
SlideDeck.prototype.updateSlides_ = function(opt_dontPush) {
  var dontPush = opt_dontPush || false;

  var curSlide = this.curSlide_;
  for (var i = 0; i < this.slides.length; ++i) {
    switch (i) {
      case curSlide - 2:
        this.updateSlideClass_(i, 'far-past');
        break;
      case curSlide - 1:
        this.updateSlideClass_(i, 'past');
        break;
      case curSlide:
        this.updateSlideClass_(i, 'current');
        break;
      case curSlide + 1:
        this.updateSlideClass_(i, 'next');
        break;
      case curSlide + 2:
        this.updateSlideClass_(i, 'far-next');
        break;
      default:
        this.updateSlideClass_(i);
        break;
    }
  };

  this.triggerSlideEvent('slideleave', this.prevSlide_);
  this.triggerSlideEvent('slideenter', curSlide);

// window.setTimeout(this.disableSlideFrames_.bind(this, curSlide - 2), 301);
//
// this.enableSlideFrames_(curSlide - 1); // Previous slide.
// this.enableSlideFrames_(curSlide + 1); // Current slide.
// this.enableSlideFrames_(curSlide + 2); // Next slide.

   // Enable current slide's iframes (needed for page loat at current slide).
   this.enableSlideFrames_(curSlide + 1);

   // No way to tell when all slide transitions + auto builds are done.
   // Give ourselves a good buffer to preload the next slide's iframes.
   window.setTimeout(this.enableSlideFrames_.bind(this, curSlide + 2), 1000);

  this.updateHash_(dontPush);

  if (document.body.classList.contains('overview')) {
    this.focusOverview_();
    return;
  }

};

/**
 * @private
 * @param {number} slideNo
 */
SlideDeck.prototype.enableSlideFrames_ = function(slideNo) {
  var el = this.slides[slideNo - 1];
  if (!el) {
    return;
  }

  var frames = el.querySelectorAll('iframe');
  for (var i = 0, frame; frame = frames[i]; i++) {
    this.enableFrame_(frame);
  }
};

/**
 * @private
 * @param {number} slideNo
 */
SlideDeck.prototype.enableFrame_ = function(frame) {
  var src = frame.dataset.src;
  if (src && frame.src != src) {
    frame.src = src;
  }
};

/**
 * @private
 * @param {number} slideNo
 */
SlideDeck.prototype.disableSlideFrames_ = function(slideNo) {
  var el = this.slides[slideNo - 1];
  if (!el) {
    return;
  }

  var frames = el.querySelectorAll('iframe');
  for (var i = 0, frame; frame = frames[i]; i++) {
    this.disableFrame_(frame);
  }
};

/**
 * @private
 * @param {Node} frame
 */
SlideDeck.prototype.disableFrame_ = function(frame) {
  frame.src = 'about:blank';
};

/**
 * @private
 * @param {number} slideNo
 */
SlideDeck.prototype.getSlideEl_ = function(no) {
  if ((no < 0) || (no >= this.slides.length)) {
    return null;
  } else {
    return this.slides[no];
  }
};

/**
 * @private
 * @param {number} slideNo
 * @param {string} className
 */
SlideDeck.prototype.updateSlideClass_ = function(slideNo, className) {
  var el = this.getSlideEl_(slideNo);

  if (!el) {
    return;
  }

  if (className) {
    el.classList.add(className);
  }

  for (var i = 0, slideClass; slideClass = this.SLIDE_CLASSES_[i]; ++i) {
    if (className != slideClass) {
      el.classList.remove(slideClass);
    }
  }
};

/**
 * @private
 */
SlideDeck.prototype.makeBuildLists_ = function () {
  for (var i = this.curSlide_, slide; slide = this.slides[i]; ++i) {
    var items = slide.querySelectorAll('.build > *');
    for (var j = 0, item; item = items[j]; ++j) {
      if (item.classList) {
        item.classList.add('to-build');
        if (item.parentNode.classList.contains('fade')) {
          item.classList.add('fade');
        }
      }
    }
  }
};

/**
 * @private
 * @param {boolean} dontPush
 */
SlideDeck.prototype.updateHash_ = function(dontPush) {
  if (!dontPush) {
    var slideNo = this.curSlide_ + 1;
    // Add everything except the hash.
    var loc = location.protocol+'//'+location.host+location.pathname+(location.search?location.search:"");
    var hash = '#' + slideNo;
    if (window.history.pushState && (location.protocol !== "file:")) {
      window.history.pushState(this.curSlide_, 'Slide ' + slideNo, loc + hash);
    } else {
      window.location.replace(loc + hash);
    }

    // Record GA hit on this slide.
    if(typeof window.ga === 'function') {
      ga('set', 'page', hash)
      ga('send', 'pageview');
    }
  }
};


/**
 * @private
 * @param {string} favIcon
 */
SlideDeck.prototype.addFavIcon_ = function(favIcon) {
  var el = document.createElement('link');
  el.rel = 'icon';
  el.type = 'image/png';
  el.href = favIcon;
  document.querySelector('head').appendChild(el);
};

/**
 * @private
 * @param {string} theme
 */
SlideDeck.prototype.loadTheme_ = function(theme) {
  var styles = [];
  if (theme.constructor.name === 'String') {
    styles.push(theme);
  } else {
    styles = theme;
  }

  for (var i = 0, style; themeUrl = styles[i]; i++) {
    var style = document.createElement('link');
    style.rel = 'stylesheet';
    style.type = 'text/css';
    if (themeUrl.indexOf('http') == -1) {
      style.href = this.CSS_DIR_ + themeUrl + '.css';
    } else {
      style.href = themeUrl;
    }
    document.querySelector('head').appendChild(style);
  }
};

/**
 * @private
 */
SlideDeck.prototype.loadAnalytics_ = function() {
  (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
    (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
    m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
  })(window,document,'script','//www.google-analytics.com/analytics.js','ga');

  ga('create', this.config_.settings.analytics, 'auto');
  ga('send', 'pageview');
};


var loadDeck = function(event) {
  // Polyfill missing APIs (if we need to), then create the slide deck.
  // iOS < 5 needs classList, dataset, and window.matchMedia. Modernizr contains
  // the last one.
  Modernizr.load({
    complete: function() {
      window.slidedeck = new SlideDeck();
    }
  });
};

if (document.readyState !== "loading" &&
    document.querySelector('slides') === null) { 
  // if the document is done loading but our element hasn't yet appeared, defer
  // loading of the deck
  window.setTimeout(function() {
    loadDeck(null);
  }, 0);
} else {
  // still loading the DOM, so wait until it's finished
  document.addEventListener("DOMContentLoaded", loadDeck);
}



"></script>
</head>
<body style="opacity: 0">
<slides>
<slide class="title-slide segue nobackground">
<!-- The content of this hgroup is replaced programmatically through the slide_config.json. -->
<hgroup class="auto-fadein">
<h1 data-config-title><!-- populated from slide_config.json --></h1>
<h2 data-config-subtitle><!-- populated from slide_config.json --></h2>
<p data-config-presenter><!-- populated from slide_config.json --></p>
<p style="margin-top: 6px; margin-left: -2px;">May 22, 2017</p>
</hgroup>
</slide>
<slide class=''><hgroup><h2>Introductory Fisheries Analyses in R - Derek Ogle</h2></hgroup><article id="introductory-fisheries-analyses-in-r---derek-ogle">
<img 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Pjp5ntPJzY3EfEBAYUWzBbq6pjmkp6KpmZDkyujhc4R/ziBt71YykqZGB7KadzTuHNicQffhBZhRXPjfE8skY5jhza4EEe4q80tQI+sNPMGYzqMbsY784QGJERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQHpPQZ/CTF/Q5v/wAV6/01/wAF9x/72D/etXkHQZ/CTF/Q5v8A8V6/01/wX3H/AL2D/etWMvjMZfGib6PP4OuHv/D4f2QtThrinhuTiW4cI2iGWKoodckp6vDHv1fjCHZyXanbk81t9Hn8HfD3/h8P7IXlnRz/AA+8T/8A9v8A3rVFXZSrs6jpVjtlivHDHF9RA7rKS4NjnfC0F8kZY4gdmcEbZ7yvQLFeabiCx0d2pGyNp6qMSMEoAcB4gErzf90D/wBCaD/xFn7D11fRfv0Z2DH8Ub+sqGvDYa8KZ5p0ycf2m7UFRwvTxVba6juDOse9gEZ0Zzg5z2jsXtNxtkF5sstvqsmCojDJB+c04yPfy96+X+kvh+8UfGt7uVRbKqKglryY6l0ZEb9W7cO5HOF9USOLaBzmnBERIPuUyVJUTJJJUeVdKlbaeKrbbeErLc6OW4uusMRp4ng9UA14JIHY3tHYu0ttnsHRxwnUS08Aip6SAy1E4aDLNpGSSe0nsHJfNnRlXw0PSVY6mqcAx1QWFzjsHPa5oPxcF9KdItJNXdHd+p6djnyuo3lrWjJON8D4JJVSElVRNbg/jG0dJFmrcUDmsif1VRS1TWvBBGQe4gjPwK8f4s6LYKHpRtFoodcdqvEmpgByYQ3eVoPgNx5+C6X9ztSzNt9+rHMcIZZoo2OI2cWtcTjy1BdXxbdqSn6VeB6N7m9dqqnEfmh8ehvxcD8FO0qRPwyaR0twq7XwRwlPVMpRDb7fBlsEDQNhsAPEkjc961uBuJLfxZw+672+idSCWd4njcBnrBgEkjY5GN1p9KdBVXLo0vVNRxPlnMTXiNgy5wa9riAO3YFRHQfRVVF0eNFVBJCZquWVgkaWktOADg+RVa0spSy2Q9R/8TdJ/wCGn/duUv05fwbTf0qD9pRFR/8AE3Sf+Gn/AHb10PTLb6y5dHlRDQ0s1TK2oheY4WF7tIduQBuVPFFuKN3oq/gvsP8ARz+05eOP4Tbxl08Xi2zFwo46p89UWnB6tobsD2ZJAz4le29Hduq7T0e2WiroXQ1MVMOsjfsWkknB7juvPuCKyGn/AHQHFtPI4CSpbIIs9pa5jiPhk+5E9XQT1bR6Ffr5YejfhiOd9L1FEx7YYaekjGXOPYBsOQJJJ7FqX+08PdI/BkU8hiDKmDraOqeA2SFxGxz2b7EcjuoDp1s9fdODKV9DTS1BpqxskjImFzg0tc3OBvsSPivPbZ0F3+6WKkrpblT0kk0es0lVG8OiB5A45HG/LbKJKrsJKrs9W6LOKqG9cPRWenjqG1Vmp4aapMjQGl4BadJBORlh7uxbfHfH9p4Mjgp7lFWPfWxSdUadgcBjA3yR+cF59+56jENVxNEJGvDHQtDmcnYMgyPAra6d+H7xeamxy2y2VVYyJkwkMEZfozoIzjlsD8EpZqGVZ6NToS6PqCqtg4nu1Myoe95bRRSNyxgacGTB5knIHdjxXeXnpOs9j44pOF54J3TTGNj52Y0ROf8AQBHM9mccshWdDtbBWdGFpbC4F1OHwSAfkvDyf1EH3ryfpCtVZL08wRMheXVlRSPhIafaaNIJHgNLs+SneTsn4pOz0rpW6PaHiKwVV1pKZkV4pIzK2RjcGdrRksd37ZweYPgtnoW36LbXv+XN/vXLsL5WwW6w19ZUua2CCnkkeTywGlcf0LfwWWv+dN/vXKt+ErbymbiO4cNcJcKXOyyXKkpquqpqmVsT5AJJZJA4lxHPdxxk+S5zoC4gNdwtU2SaQma3SaowT/qn7j4ODviF5Z0wPc/pSvOok6eqaPAdU1W9E3EP4PdINA+R+mmrD6JNvth/0T7nBv3q+Xwl8ngO46Y+D5Ll0i2B9OwgXjTSyOHY5jhkn/Yd/wCVdF04XiOy8CU1kpT1ZrpGxBgPKGMAn/8AEe9em1Vupayro6qeIPmo5HSQO/NcWlhPwcV8y9NN/wDXPSBPTRvzT21gpW45a/pPPxOP9lRHVpEQ8TS5HnaIi2NwiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiA6vo74qpeDuK2Xesp554WwSRaIcasuxjmQOxdxx/0wWji7g+qs1Jbq+GaZ8bmvm0aRpeHHOHE9i8cRVcU3ZVxTdnufDHThZLFwva7VNa7jJLSUzIXvZ1elxaMEjLs4XHcLdIFvsPSVeOJp6Oqkpq7rtEUenW3W8OGcnHId689RMqGRHqnSZ0pWvjjh6mt1FQVtPLFVNnLp9GkgNcMbE77rP0bdMMPC1nZZL1SzzUcJJp5qcAvjBOS0tJGRknBz4LyREyqqGRVR6/0ndKtl4w4cjtVspK5r21LJjJOxrW4bnbAcTnddK/90BYHUrovVF0yWFufxfdj85fPaKMiI7uIBIIIJBHaF7Xwh09SUNDFRcS0c1UYmhraynIL3AfntOMnxB37l4ois4p7lpRT3PoW6dP9jpqNzbLaayefB0idrYY2nvOCSfcF4jdOJrtd+Ijfqqqcbh1jZGSN2EZactDR2AdgUQihRSIjBLY+hbL+6Bs77YwXq31sVc1uH+isa+N57xkgjPceXesFH+6Et/XVbq20VvVmX/JmwlhLY8D6RJHtE5O2wGF4CijIiO7ieg33pJbU9J1LxhaaWWMQRsZ1NQQC8AODgS0nAIdzXpjv3QXDYoOsbbbmarT/AJktYG5/n6uXjj3L5yRS4JkuCZ73af3QVCygAu1rrX1jpHud6Po6trS46WjJB2bgZPavJ7xxTLUce1fE9pdLSSvqvSIC/Gpmw2ONj2gjtBXOIiikFBLY+hLL+6CtMlExt7tlXBVAYc6laJI3HvGSCPLfzUHxt05+tbXPbOHaOembO0skq6jAeGnmGNBOCe8nbu7V4uijIiO7jdnW9H3HNRwLfH1bIPSKSdgjqYAcFzQcgtPeN+feQvX67p84XfQSMhobq+V8ZbpMTGgEjtOpfOaKXFPUlwTds63gTpAufAtc99M1tTRTY9IpHuwHkflNP5LvH4r2KLp94VkhbNPbrmyoaPoCFjseAdqXzgiOKYcE9T0bpB6Wa/jOnNtpac0Fq1Bz4y/VJMRy1kbAA76R28yVPcBdMNo4S4Oo7NVW2vmmgdIXPi0aTqeXDGXA9q8bRMqqhkVUdDxxxBT8UcY195pYZYYaksLWS41DDA3fBI7FbZeC+Jr/AEfp9mtU9VA2QxiWJzRpeMHtI5ZCgF6b0e9LMXA/D8tqksz6zXUOnEragMxkNGMFp/N+9HaWgdpaHv1ReJ7FwMbteWtZVUtCJalgdkdaG7tBHe7b3r45qaiWsqpqmdxdNM90kjj2uccn7yu9496WblxrRi3R0jLfbtYe+Jsmt8pHLU7A2B3wBzXnqiEa3Iw41uERFcuEREAREQBERAEREAREQBERAEREAREQBERAEREAREQEtw7w3dOKrmbdaIWTVIjMul8gYNIIB3PmF1f/ALFOOvquD7ZH81u9A38Ir/6BL+0xe88a8WwcF2H1tUUstTH1zIuricAcuzvv5LOUmnSMpzadI+ef/Ypx19VwfbI/mtKwdF3EnEYr/Qm0bXUNU6knbLPgiRvPGAcjxXp/74e0/UNf/ax/NRXR3cuNLiy/1/CdNaPQqq6STvbcXv6xrnAHA07YwR78pmlWozTrU8u4r4SufBtzit916jr5YRM3qZNY0kkc8DfIKgl3vS2/iN3FFKeJ2W9lZ6G3QKEuLOr1u56t85z9yy8P9DPFl+oo6wx01vgkaHMNY8h7geR0gEj34Vk9LZdS0tnnqn+GeDL5xg+pbZaaOc0waZdczWY1Zxz58iukv/QvxZYqOSrZHTXGGMan+hvJe0d+kgE+7K6z9zp/zriH+ZT/AK3qHLS0RKfhtHl/E/Bd84PdTNvVLHAanUYtEzZM6cZ5cuYUAvo7ph4PvHGN44fo7RTtcY2TulmkOmOIEswXHx7AMkrzPibob4m4atUtze6kraaFuub0V7tUbe1xa4DIHbhIyTWojNNannqLat1trbvXxUNupZamqlOGRRDJPyHidl6VS9AXFc9MJJqu100hH+afK5xHmWtx+tWbS3LOSW55Wi6Linge/cHTMbd6QNikOI6iJ2uJ57gew+BwVIcK9GXEHGFpfcrW6iFO2Z0J6+YtdqABOwadtwlrcZlVnGrueHuifiXiax093t/oPos+rR1s5a72XFpyNJ7QVt2roY4nuc1wYZKKnjopXQulkkcWyPaATowMkDOMnG67Xo5k6RWcCW9thg4fdbQZOqNW6QSn8Y7Ocbc8+7CrKWmhWU9NDxe/WSs4cvdTaa/q/SqcgP6p2pu7Q4YPkQo5dL0gm6njm6G9tpW3HUzrxSkmIHQ3GnO/LHvU5w90NcWX+kZVmKnt9PINTDWPLXOHfoAJHvwpulqWzJK2efIvQOIuhzivh6jkrOqp6+mjGqR1G8ucwdpLSAceWVwUMUlRNHDDG+WWRwaxjBqc4nkABzKlNPYJp7FiL062dBPFtdTNmqZKCgLhkRTyuc8eYaCB8VC8VdFvE3CVK6srKeKpom/TqaV5e1n84EAgeOMKMyGeO1nFoiKxJKcP8O3Pii6C22mnE9UWOk0l4YA0cySdu0Lo7j0R8Z2u21NfVWyIU9NG6WQsqWOIaBknAOTsu+/c82X2bvfHt5ltJE7Hd7b/ANbPgvbHejXGjljyyaCQPifg5B5tcP1hZSm06MpYjTpHw8i3r3bJLJfK+2S510c74T4hpOD7xgruaXoR4tq6GGsjfbOqmibK3VUuB0kZGfZ8VpaNHJLc84Rek2XoQ4qvFtZWvfRULZG6o46l7tZHYSGg4z47rkOJuFbtwjdPV93gEcpbrjex2pkjeWWn/ghE0wpJuiFRdpwv0WcUcV0jK2kpoqaif9Coq36Gv8WgAkjxxhdDVdAPFUMJfBWWupcB/m2yvaT5EtwozIhziuJ5lQUNRc7jTUFKwPqKmVsUTS4AFzjgDJ5Lrrn0TcY2e2VNxrbdDHS00ZllcKpjiGjnsDutPhu1V1l6TrJb7lTSU1XDcoA+J43HtDB8QewjYr6Y6Rf4OeIf6BL+yqyk09CsptNUfHqL0O19DPE95tVLcqKa2PpqqJssbjUuBwRnf2diuPudgr7TxFLYqmNpro5mwaWHIc52MYPaDkK6aZdSTIxF2nFHRhf+EbSLldJKDqXStia2GYue5x5ADSO4qUsvQjxbd6RlTM2ktzHjU1lW89Zjxa0HHkd1GZDMtzzdF3vEvRBxVw1RSVz4YK6kiGqSSjeXFg7y0gHHiMriaOjqbjWRUlHBJUVMztMcUTdTnHwClNMJp7GBF6lQ9AvFlVTCWoqLbRvIz1UsrnOHnpBH3lcrxX0fcQ8G6ZLpSNNK92ltVA7XGT3E8wfMBQpJhST0s5dFI2Sw3PiO5st1ppH1NS8Z0t2DR2ucTsB4lejR/uf+KXwa319pjkIz1ZkefvDcKXJLcOSW55QineJ+Dr3whVsp7xRmISZ6qZjtUcmOelw7fA4KgkJTsIiKQEREAREQBERAendA38Ir/wCgS/tMX0VerdabnQej3mnpZ6TWHaKkAs1Dkd+1fOvQN/CK/wDoEv7TF6b08gHo53Gf8th//JYz1kYTVzo0Okjhngyg6PrvVWu22mKtjjYYnwNZrB1tBxjfllWfuev+il1/p/8A/m1fOukDk0fBfRX7nr/ondf6f/8A5tUyVRJlGokP0oijPTdwsLho9D6un63X9HHXO5+GcZXsl/t9wudokpbXdn2uqcQRUshbIQO0Yd3rxXpftVPe+lqy2yqr2UEdTQsj9IezU1ri9+ARkczgc+1dr+D3SFwtaKaGw3+C+dUdLqe5whhDcbaHg527nFVeyKvZGeaj6TrPZXw0dys16qGElstVC6KUj80AHQT4nC5ToLfVScR8XPrqdtPVukiM8LY+rDH6pNQ09m+dl6lwxU8Q1Nrc/iWgo6Os1kCOlmMjS3A3Pcc52yVyvB1VR1nStxzLROY6MCkje5nIyNa4O+8Y9yi9GRejRi6V+kC58Eus0dshp3uq5HulM7S72GafZGCMZ1c/Bd/XMZU2qoZI3LJIHBzT2gtOy8T/AHRH/OuG/wD7/wCuNe2y/wCjH/8Acn9lGtEGvCmeUdAHD9PTcM1N9cwOq6uV0LXkbtiZgYHm7JPkO5dHxlQdIlXf6ebhe5W+kt0DGkxTO3lfk6tXsHbGBse9c10A8R00/DtRw/JI1tZSyumjYTu+J+CSPJ2c+YU1x5wtx1db9BVcMcRuoqN8TWSwOqHRiNwJ9oAA5yCPgpfxakv4tTsOJrHBxJwvW2usjaevhIHbofjLXDxBwVw3QEC3o+qA76QuMoPnpYty+8NCwcPVFzr+OeJ4m00OqRwrG4e7HIAt5k7AeK0+gIl3R9UE5ybjKTn+axP+JH/Fm1x90p0HA9xjtLLZJWVE0Rmk0SCNrA4kDfBySQStvoa/gstPnN/vXrx/p2/hHP8AQof1uXsHQ1/BXaPOb/evUtVEs0lCzhoLBT3/APdJXMVcbZKeiDat0bhkOc2OMNB8NTgfcvV+MafiOp4ffBwvUU9NcXvaOunOAxn5RGx35Dl2leTR8RU/Dv7o+6SVkgipqwNpXyOOAwujjLSfDU0D3r1Tje03u88Nvp+Hrm633FsjZI5A8sDwM5YSAcAg/EBRLdES3Rk4Op+I6Xh9kHFFTT1NxY9w66A5D2fkk7DfmOXYvK7ZYrZYP3R7qfq444JoH1VIwgANke3cD4SYXWcOcB8SutJPEvGN6Fwc8kChrfYYzsB1N3PMrzKTh2k4u6WKm003GNaZaRjRT19URLLLIzdzWOaW/RJOPIouIjx1PdeKrNe7xSwMsnEUlmkjcS9zKdsok7gc7jHh3rjuKf8A2nW/hiSOIWS7xthcyoeyB3XStwcnqydJ25gfBblZSdJthdTx2iuoOIqbRh7q+MQytd5tIBGMb812trqK82WGovcNPSVgYXVDIpdUceP0jjbG/go2K7HxN2Jy3PJb98mpqniC5T0YApZauV8IAwNBeSPuWxwtZzf+KrXagCRU1LGPx2Mzlx/qgrfgdV6WfTvR1aZOG+jG3xtgc+qdTuq3xt+k978v0+e4HuWv0Tw36k4XqKTiGhnpallZLIzrce02Q6zjBP5RcpnjLi6h4GsDbjVQSSxmVsEcMOA4k55Z22AK57g3petXGF/baILfV0sz4nSMdM5hDtOCRseeMn3LDVqzl1abPKuney+ruOBcGNxFcqYSEgbdYz2XfdpPvX0Pw7/0ZtX9Dh/YC896e7Ka/gZlyjZmS3Th5PdG/wBl336T7l6Fw7/0ZtX9Dh/YapbuKJk7ijhejnpAunFnFvEFvrYqdlLSHVTiNhDmgPLcE532AK5/90PHEKTh6d0YeWzytIO2pulpIz7lp9B//T3ij+a7/fOXRdMsVHPdOCobhj0N900z6uWg6c58FO0i20zNw1xXx1xFYQbbwlQ26B8Oilqp6osjbthrmx6SXNHuB711HBlt4stsNW3im9U1zc9zXQmGLSY+eoE4GRyxt3qeuEdV6pqo7aY46zqHtpy8ey1+k6c+GcLh+i/hvieyC6VnFVa+etrXs0MfUmYta3OT3DJdyHcq8Cl2jm+k+CNnS/wLO1oEkkzGudjmGytx+0V6B0i/wc8Q/wBAl/ZXB9KP8K/AX9IH+9Yu86Rf4OeIf6BL+yp5EvgcT0B8Q+ncM1djlfmW3y64gT/qn5P3O1fELbvnBPp3TlZbx1RNKaY1Mxxt1kPst/bZ/VXj3RRxD+D3SDQSSP001YfRJt9sPPsn3ODfvX1fNLHBC+aVwZHG0uc48gBuT9ymWjJn4ZaHk/G1+o6vpm4SsVU5hpaOTr5Q7l172nqwfLDf6y9D4ktl1u1rFPaL3JaKnWHGdkDZSR+bg8vMb7L5gpo2dI/SXUelXMW43Koe6CV7NeMf5tnMYOkADfmPFe4z2jpH4boqWOyXml4gY0aZI7nEI3t7tLgdx/OOVElVCUaorcYelC02Ex0dVZbzNGDmWSF0c8g7g3Ogn37rm+gWwRll34iqqdrKx1S6ljbo09SBhzwB+TkuAx2BuF6rw9Peqi0Mk4go6WkuBcQ6KmlMjMdhye3w381w/R/xZa6vjfi2y00sY6y4Oq6YgjE3stbJp7/abnxByovRkW6aJTjqg4+rq+j/AASuVFRUsTNUvXOw6STPI5Y72cY+JXS1trZfOHJLbeIon+lU4jqGs3aHEblue47g+AXI9IfDfGl3r6Oq4UvzqKNsfVzwGd0bSc5DxgHPPB8gq1XCMlqsBrrtx3xHCaaAPqp2VjQzIHtEAtOATyHkhHBHM9AVNTUcHEdM4sNxhrBFIfyuraCB7tQcu3v1g4uqr4LhZeLW0lO3Tigno2vi2G4Lhuc/EZ2XkXRZwhPxFU1XEFr4uqbdWxVD2yxNhD5S1x1AvJOlwd4jGQe5ekxz9KdBdzTOo7JdLeJMCrc8wPczPMgHY47gQpluWl8Rw3TDPx0LOIb1RWl9mdK1wnoWOcY3j6OovOWk8s4wc4zuvE19ddKNVR0vRtfDWOZpkpnRRtcfpSO2YB45wfcvkVaYb0NMN2giIrmgREQBERAEREBLcO8SXPhW5m42mZkVSYzFqfGHjSSCdj5BS3EXSRxNxVa/V12q4ZabrGyaWU7WHUOW481yaKKW5FK7C6fhnpA4h4RopqSz1UMMM0nWvD4GvJdgDmfABcwiNWS0nuTPEvFN14tuEddeJo5Z44hC1zIgwaQScYHiSuhsvS/xjZKRlLHcI6uGMYY2si6wtHdqyHH3krhUSkRlWx3d46X+MrzSvpn3FlJC8YcKOIRkju1buHuIUJwxxpe+D31TrNURwmqDRKZIWyZ05xz5cyufRKQyrY6HifjW+cXvpXXmoimNLq6rRC1mNWM5xz+iFPu6aON3RGM3Cm0kaceiM5Lz9EpDKjPRVtVbqyKroqiWnqYjqjlicWuafAr0Cl6ceNaeARvqKKoIGOsmphq/8pA+5ecIjSe4cU9yf4l414g4tkYbxcHzRsOWQMAZG094aNs+JyVucN9IvEvCdsdb7RVwxUzpTKWvga86iADufILlESlsMqqiW4i4jufFN09ZXaVktT1bY9TIwwaRnGw8ypux9KHFXDlngtVtrII6SDVoa6mY4jLi47nnuSuORKWwpbG/erzW8QXeoulxe2SrqCDI5rA0HAAGw25ALprD0r8X8PUjKSnuLaimjGGR1cfW6B3B2zseGVxSJSDSeh3F86XOML7SPpJbgylp5Bh7KOPqy4dxdkux5FcVDNLTzRzQSPiljcHMexxa5pHIgjkVYiJJEpJbHolB028aUVO2F9XS1ekYD6mnBd7y0jPvURxF0l8VcT0rqSvuWikf9Onp2CNjvB2NyPAnC5JEyojKuQUnYL9X8NXaO6Wx8cdXG1zWPkjDwNQwdj24UYikk6TifjziDi+CngvNXHLFTvL42xwtj9ojGTjnsomzXitsF3p7pbpRFV07i6N5aHAZBByDz2JWiiikKVUdvdOlni682uqttdWU0tLUxmKVnorBlp8ew+KzU3THxpSUkNNDX04ihY2NgNIw4AGB+pcEijKiMseR0HD/ABpe+GLjWV9rqIoqirGJnPha8H2i7YHluVk4n46v/GENPFeamKZlO5zowyFrMEjB5c1zaKaW4pXZ31o6ZOMbRQMo21kFVHG3Sx1XDre0dg1Agn35WpF0q8YRXqe7C5tfVTRCEh8LSxjAc4a3kN/eVxiKMqGVcjqbv0h8RX252y419RTvqrbJ1tM9tO1ul2QdwOYy0bFb1z6WuL7xa6m3VtdTvpqmMxStFKxpLTsdxyXEIpyoZUet8FdDMXFXDNuvrr9LS+kFznQspw4t0vLdnavDPJek9MPEcfD/AADUUTJz6bcW+ixDV7Raf847+rkZ73BeAWrpA4rsdtit1tvU9PSRZ0RNYwhuSScZaTzJUPdLvcb3WmsulbPWVBGOsmfqIHcO4eAVMrbtlHBt2zTBLXAtJBByCDjC761dMvGdqpWU/p0NYxgw01cOtwH84EE+/K4BFdpPc0aT3O1vvSvxff6V9JUXJtPTSDD46SMRah3F27seGVx1PUTUlRHUU0r4ZonB0ckbi1zCORBHJY0RJIJJbHotF03ca0dO2J9VSVWkYD6imBd7y0jK57ibjziPi1rY7tcHPp2nU2niaI4we/SOZ88rm0TKiFFLgSFmvlz4fuDa601stJUtGNcZ+kO4g7EeBXdN6dOM2w6C+3Odj/OGl9r7nY+5eaojSe4cU9ya4i4tvvFU7JbzcJKnRvHHgNjZ5NGw8+ahURCUqCIikBERAEREAREQBF6D0V8F2PjevuFDdKishqII2zQ+jyNaHNzh2ctPIlvxW10odGlLwbNafVEtVURVz3Qn0hwcRJkaQMAcwT8FXMrojMro80Re+XzoIs1BwvXVlHW3GS4U9K6VjXyMLHPa3OMBucHB7VzfRh0WWzjLh2pu92qayBgnMUIge1oLWgFxOWntOPcmdVZHeRqzU6LOji1cc0NynuNVWwupZWMZ6O5oBBaSc5aVHdKPBFv4Hu9BSW6oqpmVEDpXGoLSQQ7G2AF03RdwXbuJnX91Neb3RUlNWCOn9EqurMjMHSX4G5wAtu/dGtvf0m2Lh+pu14qqaspJpXy1FSJJGFuSA0kbDbfZVzeLcpm8W5FcLdCE/EnDtBeHX1lMyrj6wReil5aMkc9QzyXntDZ21XFtNZHzOayWvFI6VrdwDJo1AffhfYlltNPYrJR2qlc90FJE2JhkILiB2nHavFuLej61cJcXcL3KgqKySauvkfWidzS0Zfq2w0dqhT5kRxLbss4h6C7fZOHLldGXurlfSU0kzWOhYA4taTgrxFfanEtsmvXDFztkD2Mlq6aSFjn/AEWlwxk47N157TdAPC7LeIqiruUtVp9qdsoZv3huCAPA5SM+YhiUtT5tRT/GfDE3B/FFVZ5ZeubFh8UuMdYxwy047D2HxBUAtDZOz1ngDohouMuFo7vPdqmme+WSPq44muA0nHMrp/3u9s/lBW/2DF0PQb/BrT/0qf8AaXO9Kl149o+MIoeGjdvQTSxkikp9bNep2d9J3xhZW26swzScqTI68fueZ4qR8lnvgnnaMiGqhDA7wDmnb3heMVlHUW+tmo6uF8NTA8xyxvGC1w5gr7H4QlvM/CVtl4gj6u6uhzUNwAc5OMgbA4wSO/K+cumoQDpOr+p06jDCZcfn6PlpVoSbdMthybdM8+REWhqEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAdd0ZXv1B0hWmqc7TDLL6NNnlpk9nfyOk+5fT/EnDkPEQtfXFv8AkFwirRkc9GdvflfGYLgQWkhw3BHYV9l8JX2O/wDCFsuxeMz07XS5PJ4GH/eCssRcTHFVOzfpbjS3KevpYnB7qOb0edp/OLGux8HhcNxBDF0b9DVZRU0g6xkT4InAYLpJXnf3aifcue6HeKDd+NuLmPfltbN6bECeQDyz9ks+C0/3Qt89m0WKN/Muq5gD3eyz9b/gqpa0VUfFRs/udtrTfQOQqIv2CoX90HNLBxRZ5IZHxvFDJhzHFpHt94U1+53IFpvuT/1iL9gqD/dDYdxJaMHnRPH/AJ1ZfGWX+Q9x4Zc53Cdmc5xc40MBJJySdDV8uUFVUT9KtEyaomkY2+t0tfIXAfj+wE7L6L6N+IqHiDgm2OpZmOmpqaOCoiz7Ub2tDTkdxxkHtBXB8d8HWLh3ivhW4WykMFVXX2N0zjK52cuDjgE4AzvsqxdNplYum0z07jKqnoeCb3VU0jop4qGZ8b2nBa4NOCPFcX0D1lTWcB1BqaiWcx18jWmV5cQNLDjJ8ST711vHrgej/iDcf6Pm7f0CuK/c/kDgOryR/pGT9hihfCQvhZ5708/wiM/oEX7T15gvTunk56RGY/iEX7T15ito7G8PhR9Q9Bv8GtP/AEqf9pdPU8Z2qk40puFZjO24VMPXRO0DqyPa21Z5+yexcv0GkDo1p8kf86n/AGl510zXKa0dLNuuVMfx1LSwTM8S17zj38vesquTRjlzSaPceMbhc7Vwhc7hZ4opa2ngMsbZQSMDdxwOZAyQPBfHddXVNyrp66smdPUzvMkkrubnHtX2pQV1LeLTT1kJbJTVcLZGg4OWuGcH4r5C414fdwvxfcrTg9VFKXQHvid7TPuOPcrYfIthPgQCIi1NgiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIArg94GA9wHcHEK1EBVri05aSD4HCFxccuJJ7ycqiICrXub9Fzh5EhHOc76TnHzOVREBkgqJ6WTrKeaWF+Mao3lpx5hJaiaeTXNNLI/857y4/ErGiAuMkhGDI8jxcUD3tGGvcB4OIVqICpcXHLnEnvJyqIiAuD3tGGvcB3BxCoXFxy5xJ7ycqiIC4SPAwHvA7g4qhcXHLnEnxOVREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREARE7UBIQ2K8VELJoLTXyxPGWvZSvc1w7wQMFX/g5fPqW5fY5P8K9r4YdI2y2Q9e9rfVsAa0PIH0V1zZpXxlonlGRjIechbvAeVO9zxf/ANj+5KGT4W1vy+R8zfg5fPqW5fZJP8Kfg5fPqW5fZJP8K+j7deqqOr9XXCWQT/6uXUQJR2e9dCyaQ/61/wDWKpPBlB0zTC/qqxFaifJ/4O3z6luX2ST/AAp+Dt8+pbl9kk/wr61bLJ/9R/8AWKqZJiMNleD36iqZWbfzv+p8kfg7fPqW5fZJP8Kfg7fPqW5fZJP8K+umPka0AyyE95cVlEj8fTf/AFiqtMsu2XwPkD8Hb59S3L7JJ/hT8Hb59S3L7JJ8l9hCR/57v6xV4kf+e7+sVFssu1+R8dfg7fPqW5fZJPkn4O3z6luX2ST5L7ID3fnO+JV2t35zviozMt/J8j41/B2+fUty+ySfJPwdvn1LcvsknyX2YHO/Od8Vdqd+cfiozMn+R5Hxj+Dt8+pbl9kk+Sfg7fPqW5fZJPkvtDJ7z8VXJ7z8Uzsnv/I+Lvwdvn1LcvsknyT8Hb59S3L7JJ8l9mxGUlzpCRk+y3PIfNZcnvPxTOwse+B8W/g7fPqW5fZJPkn4O3z6luX2ST5L7RDifzh5qud+Z+KZ2O/8j4t/B2+fUty+ySfJPwdvn1LcvsknyX2kckYyfim/efimdjv/ACPi38Hb59S3L7JJ8k/B2+fUty+ySfJfaRJxzPxVNRxzIPiUzsd/5Hxd+Dt8+pbl9kk+Sfg7fPqW5fZJPkvs8ytZnU/GNzkq7XsDk7pnY7/yPi78Hb59S3L7JJ8k/B2+fUty+ySfJfaGSN9/irBIXxkgOHPAJ5pnY/keR8Zfg7fPqW5fZJPkn4O3z6luX2ST5L7Qy4t2cR4lYo6lsk8kTXajHgPIOwJ3x54wfemdkPtFcD40/B2+fUty+ySfJV/By+fUty+ySf4V9a3q41we23WphdVyN1PmdnRTs5aie/uCtpX0fD9AyOprXdY927pZC580h5nHM57O5aKLy3xfAxfb1narRbvh6HyX+Dt8+pbl9kk/wqv4O3z6luX2ST/Cvr6Ote+mdV1AfSxty78a8DSwdpwfeufp7lVcVXF8dO6WGzQO/GyZIdUO7G+De0ju588KYwk7fBET/qEY0krb2XXA+YPwdvn1LcvsknyT8Hb59S3L7JJ8l9lanYA1uz5rGZXl5AL8gbEk4Wds2/leR8dfg5fMZ9S3L7HJ/hT8HL59S3L7HJ/hX1GKOC1zOudyramrq3PxE3Ud3djI2Z3Pd/cpCkoWtjmqaiEtnqD1krXyF5z2DOcADbYbLWUUuJzw7dOWjhT9f/D5L/B2+fUty+ySf4VX8HL79SXP7HJ/hX1LxBxIyx0Je97zUPB6pmo48z4BefWuC88XXV1RLV1LaRrszTdYR/stGcZ8Oxa4fZ5Si5ydIyxf6soTUIxt+p43+Dl8+pbl9kk/wp+Dl9HOyXP7HJ/hX1gYJYrX6JQTOp8M0RvcS7R489yoi30UNma8RzTOIGZamoe4ud39uAFnGFp6mkv6i4tXH3Pmb8HL59S3L7JJ/hVktivFPC+aa018cTBqe99K9rWjvJIwF9SitFXF1kE8pbzBDjj5KA4nfI/hC/PfPNIDbpwMvJb9HuUvCaTbZEf6nmnGKjv5nzSidqLM9QIiIAiIgCIiAJ2onagPoKw08dRwjZGSNyDboN+0bcwp2hE8X4qV3WNH0ZORx3H5rn7DUsg4YsWs4b6ugBd2DbtXQ09RG6Tq9WH4yAe0eHevRjfdL0PicVx/lT52/ubk9HBWMDZmA4OWuGxae8HsWy+oFHT9ZIXvY3GpwGSB3lY2O2WN9a4ahFCZXRn8ZEDh4HeAdiFjTeh03GOq0bJSKRk0QexwcxwyHNPMK2lkkD3QTZL2fRf+e3v8+9aFr6luo0hxA45dERgxu7cA8vL4KTc4twQwv/m81nJU2jow5OSUjYCyBYInlzA4tc3wPNZmlYs6YsvCB+JAzvGVQKvblVLmYFVL8EDBJPcsJLjgA4Gd1lBVaLpmUFXhYCSR7JwVla7Kq0XTMgKOBLSBzwrVdlVLlMhoaCcnkrgN8qyR+iNzgMkDYZxn3rRguFW5wFRbjA08nmdpBVlFtWiksSMWk/syTREVTQpuM9qoM5OeXYq76iDyQZBxzQGu2OUzk6g2nG7Wgklx8e4eC2C0Ox9xVVoV90orcGsqZ2te/wCjGN3O8mjdSk5OkUk44auTpeZiZSTPq/TLjOzDCeogacMj/SJP0nePIdivgu9LVuead+qFhw6oIxGT3NP5R8lF3WptUzWR19PB6W5oMcU7sFo7NZH0R4bk9xWpVUkVutjrncmTXKRgAZC2Pq4oR+iz8kfpc10LDUks2/D/AM6+pwvGcG8lUtW71+fL0SfyOoZUxSSdWHAvxnSCCceI7PetS53imtTI2va+SaQ6YYIxl8ju4D+/kFzlgvwnZI/qqWjpm+11FJGXyP8A5zuQ7u8lSNptE1Rcpr3cWObUSHFNDJhzoI+zPYDj9Z7UeCoN5+HuTHtUsaK7rd8eS5/q6v0Nee73esDKW3wAyyuLH1A/zbCBuGHtDe13aeSn6GlhtdBHT9YTp3dI87yPO5J8SVguN2gonNo4j1tfIMQ07Bk+Bdj6LfE4VtHFHBV5q53VFxc3LidxG39Efkgn3lRJ3Hal9y2GsuI25Znt5Ly9TUvdwurHmls9C98hGp9RKA2OPyJ2JXL8N2kXW8yVU0prIYD+OqX5LZX8wxmfyRzJ7eWwO/R8Rvfc3MtFNVsjD3f5SIzqkDfzcDl3knbG3bhbclBPBbIbfZnw0bAMOkILnMb2lo7XHvK2hiZMPKtG+rf4o58TB73Hc23JR4efJL7t/YjuJKf1pXU9ukrA2D6b6WE5mmd4jk1o7z8lO0tPBQUTIYYmQwxt2aOQHb/+1p2200NnicG6+ukOZZpXZfKe9x/uXNcY3aTRJQtc9lGwgVMoGkyuIyImeONz3dvjWMXitYcXojSU1gKWNNeJ9USEvE0Dy6s1MZTAuiptb9InePpPJ7GN7/PnsFhufFTbfQCpmYTNIc08DiWl7R+WRza3Pfv4KIs3DVVXuF2uNPmOJmaWh+jkDdo8B58zuVK2vhh9TcXXa9yRz1rjqEA3ZF3Dxx2Dl5raUcGD11rqv2zmhPtOItFV9X+l07eHLfX1NT68vDi6peMQRuGBCw9zewn9XmuscdsdmEc1rfaOT961qqrgoqd9RO8tjZzyuacniSujuw4RwYU36v8AJxM/C9dxJfpa25NkpqEOxHG4jrHNHIY7B8119NTQ0EMdJSwNihjGGtb2f8d60ILjc7nJ/klKaWkPOpqW7kfos/vKlIWBmodYXb7uc7JJ/V7gtcWc3Slw4HN2eENZQvXi+PoQl84lgtAETg+arePxcDG7nz8FH0Ntu13mbWXuQRwj2o6Bo9nwLx2+RyuiZaqKGslrGQj0mU5dM45f7ieQ8lZU1MUBEXt5PY0f3q0ZpKoLXmVnhtvNivTkaFZL1RLI4pDgbkNHL37BQvEbieDL+XgtebdPhpcScae1dG4te1rA3QOeMZd/6KE4shc3g7iBxkOPV0+GgYH0e3vSTWRoYUH38ZeaPmLtRO1FzH04REQBERAEREATtRO1Ae4WSWMWiysOWv8AVlPv2PGnljtUxFUMa0PhYJoWH24ce3Ee8DmFB27PqGyamB8fq2Ds3b7PPyUrHUNbIx1RTGPT9Gdhzj3j+9ezhq8KPoj887VKu14n/wBP7k66tc2njqaf8dT/AOsAGXAd48u0KQayKp6uYHcDLJGnfB/u8FB09TTUtSA2bQ2U5y4ew53gew+CurqKdhE1DVOic38nJwPhyHmsHBXWx1Qxnltq/L9HSMAyHOwXgY1Y3Wyx+cdoXMWq41TXupq05l5sc7bc/kk8sHsPuW/SPMbZJ4mSxtGS+mI1DI56e4+HIrCeE1ozswu0xkk0ibfL1UZfpc4DfDBk/BW0dfDWMzGSD3ELVFeDAyqhLJaZ3NzXYI8d/wBWxWKO608dUW1cBpjIfYmcPYlHZk9h8HLPu209Do75KS1064k2Dha0lTNBVDrIi6mLdpGAktP6Q/vCwVvpLHRz02skbPaPaDm+Le3zG/mrzcupY2aWJ3Uu/LY7Ok+IOD/xyVFB77mksRXTdUbo1uyS5roiM5GQQr2ROYARM5wHY7B+/mtWWt0MErGiWJozKG7uDT2gdvyW3SPifTMMMrZI8Ya5pyCPNZtNKzaMouVFC2PRpmOGSHAa88j4FZ2ARBrC7wGea1n0gM5ka+TDvpsMp0n/AGdwtkxsdHoc0Ob3HdVdGkU7ehSsh9Io5odb2a2FupmMjyzsoewV1SYnwVxDZIsh2qIsJA5OB+i4Ed2+VturjHUugcJISw4aXjWx4PI55j+7tW7GyKCJzurZGBu7QNvPZW+GOVrczrPiKcXVbim1ZL2VfXxHlkAkf7Q5+9ZZJ2McGytwx22pxGk+G5UdIy31EIn650cceSJYpjGPeW/37ha8FSKx8cMNZA6ZvtNeHekZb35BBHjqUZL1J73L4ee2v7/ZKVXpRZppg0sIHtNdh478Z2+9ZXSRwUeuUODA32hpJPwGVifUCmLWyStc7GCAA0E/HY+eyumrmRQCQEAnYCQ6N+7PIHz2VKeio1zJW7NeijgfC8U1PLBG8/TLHMJ8d91tCWaNzY+plnGP86NIHvGf7lpuvGHMifD1VTKMxsfIxwI/OJadh4nyWvDHXQvdHd7nTPbJkMY09WXDwbgH7yruLerMliJUo/pL1vYk6qpkh0COFkhf2OlDP181BV96scEUzg5rq2T2P8h9qUuPY1+OavuVmiucDGRzVLqOMA9VABqkd/3jt/hsqwW42sRS0VjoontYW65KjDox3udg79+Pirwjhpb6/T62Y4s8aUmktOdX9KX3fyNfhy20NPM6rlaz0+XfqusMzoh4uPN3efcFC8TNuN1qo6WWpjcZXf5PQU0mQB+fK/l/xsstbxKbhVejQNqa5o2FPQtdHG4/pPI1OHuAW+4cSVLY6eK3UdvE4IkmyXPY3uLu0nuGT5LoSnCeeW/nw/PW5xt4eJhvCw7pclv9NPf5aCxRvoJ20M9RHNUNGTTUTfZYOzW7kB4DnzOSuqkc2NjnknGCTg8sdq0bRb6K10opKN7HFu8jsglzu1zsLmjU+t7hL63uMUdsikOKZgAM2O2TTnDfAlYOPezbWy62OyM/42HGL3fnovVvrkisstQ5skXDFvqDUzjXUV049vB5Yc7mTz22Gy06KW8VlNNbbPTvp4WPPpNc+TVJM/t9vlk8ts4Hb39l6xlmpjJQUMs7BhseSIw7y1cgO/HllQhv4pqj0apmZNUE6WUNtYXaT+k48/dgLWE5NNKOv1fz6pHPiYcItNzaT5Kl8vXjVtllHRs4Vp2wUrRWXit5N7DjtJ5hg7SeZ+7oaeJ1LR/j5Q5+NUsjvyj2k9w/UAo90Fax8tc51PQx9XmRwZ1sxa3fSSfZA8sqFpKmt4tkc0OmpLIw4cdX4yoPcXd3fjbsVGnieJv1fXsawksFqEYvyX5/bfyOrppYqhgkjx+vbswrKigo6meOomgZJJFtG5wzpz3dx8VkjpxTxsiha1rGjAzvj5q/OgAOI81z3TtHbVqpIpp0nI38CVZI9kIDnEAE4y4437lo3V1xlibFbWRB78h08p9mPybzJ+5a1ttLbfqqqyqfWVWPanldnR/NB2aFdRWW2zKWI82WK+fD/wB61JORkkp9iXTg74Vr3NaQ1w1nO22d/wC5atBcG14dLEHeiuJayR2wfjm5p5kHv5beKieIrnVxSC0WaImtkbl8g2ELT2knYE/crxw3KWUpPFjGGfp+hmvHEUNJUsoKZnpdxkcGtgaeR/SPYPvW/R0klNHmon6+YkufIdhk8w0cgOwdqjOHeG4rGx0sjxPWy/TlAzjwBPZ3ntWa/wBXXxQsgtdMZqyUHEh2ZC3tc4nbyWjUW1CH164GUXJJ4mLvy64mvfOI6WzkR+1U10m0dOw5JJ5Z7v1q2lhdFF60vj446kt3aXYjhbz0gdp7zuStDhqyU9NLNW9Ya+tLiDVvB6vV26CeY7NQ5+C2Rwz6XWCrvNW6tkacshA0ws8m9vvWrWHHwp/tmF4k/E1fJcF5vmbdPXm5ZfSNd6H2Tn2esP6I548VG8XAjgu/gNOkW6f2if0VJXW7UNmojPVythiaMNAG58GhcBX8S3LiWy8QSU9OILRBbajW5wy6R2jYZ+/AVHBuDklSNcKSWLFN27R4Z2onai5j6UIiIAiIgCIiAJ2onagPcrNC/wBQ2WRj8arbBlrtwfZ+5Ssc8WkxmNxwMPZjcDvx2jyUPaS5lisz435d6tp8xk8/Z7FvT1L5IGyU0LZJWHdryWuZ/evZwleFH0R+d9rddqxf/p/c3RVxxMcyWDraU7Bw9oeTgdx71bM2GMw1tJWywNGGhxyWt/RcdyPfkKH9Mqm1IqBSy09QcAuYdccg7nD+9dNQeiV8Dg+lDHkYkic3H/ASayak4fj8No2/Raa6xRShw6yPYujcO3ny28VmbNPFM6lhdFJM1gJaX6X47HDVsR4Z2UHPZjbJHVtFLI2Jo1OY12HNHeOw+RWaSrguVJHP6UxldTt1R1EeQBvycOwd+du5YuF7O19jqWJlbtVL7k3b62kNRLTvhdTVLt5YXM9knvB5YP3rempSKdzYHnRz6ksEjXeGD2eGfJRVurqarqBFUB0NdHuY3bFp7Sxw5tPdyUpHJM58tPUxuDCfxcrTs4eOORC58RNS69jtwWpQp69ceRitD24PUOa6mdya1ziIz2twd2+R9yyvukAuj7fVMaGvaCx7t2vz2HPaoYxXWnq3VNFHDJk4lc1w0y45uPc7vx8FLtoqepkjrJouqmOA5peC0k/cfMJOMU7fTGFPEcVGKpp8dq66Znda6SICSBs8eN2mB527dhnl4Lbpqalpvx8Zawvxqc32WvJ7xyzlak9RMIALf1bnAlpDuQI78cvPl388rHVVdU2lM+hvUSANlie3DoT2nPItPj35ysalLRs6FLDg21HbyJx+hrS9+kaRnU7sUfNBcmRPkpaxjsjVpn328HAH3HHnlVbFLUtdDMxzWY05Y86XtPZzyCO8f+ix2qKotsclK9skkLXEwPyDkfm9hzjw96zSpG0pObSaaXPzK0Nf6fTPp65sLXkaXOjnaWvB2y3G/wD6rZoGS0jWtdUGSD6Ic5+oDyOM+GCTgrXqKCluNO+alp6cyu+k2Vhbk9zhzB92/blXW9jo2PjgjhpZYxmaBsoezPecbt88KZU0608isM6ks2vnz9q9zdIoy8sl0MkkO7HuAJPh3rSutMKW1yG3wup5mODg+mgBII7S0DdvfhbNXTUlcI2zCElwwGvwSe3YjceYK0hJUwVz6AyVRiezEL5C13tDmA/nnB2Dt9vFVhzTNMXZprR6WtyPtN9bJG+SuoJBVZwZn0YY1/Yfb+eFM1M1y6nrKWOCKPlplaSMd+G8/LC0G22GqqXQOuMjZdO4p5zE8/z2g4zg4zj4qQp45IKV9NKZqgRnAc92rUPgCCP/ANFXxHC7ijLBWJlyyfz8/M55vDlVPJK5/EUIbKdTupA1PG2ASXbgdg3AURc5WWyq9X2ihqaubTqqaiZri+Qfm52IYO3GAeSk7zwtYp6mTqatlJVygHSXamNOd8gbjPcVSg4VpbXSSXKa5TVTY93CndpGkdnf7tl1RxI1cpX5VX2OCeDO3GEEubzXp89voSXD9RdKnFVdKqMM2DIoXN0tPc4N2x7+5T0kclW6WN4qYoSNJw9oDh3gjJH3LkIuLDPVudQU5hpy3S81ZzH7g0E+4bbqYNTcvR+rprTNBI7B1080e/m142+C58XClmtpI7Oz9ow8mVNyr1d9fIl7fbqG2sdBRQsiB3e1pyT4ntVlwdXMYBSwQzZBDg/J/VgY8yrLdFXuYJLlHTiQci0Bz/e4AD4LbqoKeeJ4qA0xgZdqOAMdq526ncnfudqjeFUFl9v9EfAaWl3kdLCfpOZG5xib/VGAtF17p7rcDQ0QjdRRuHpNU4tDM8wxudnE459g5d6pV8K01fQtiiuFZBAfac0S6mu8xy//AGomkiioupo6Rks1CXHE1UCYyQcEtjY32vAk4K6IwhK2nbOLExMWFRaSj9/L05ujq7lHNW2+WKinhD5BodIXF2lvbjB3PduFEWGyz2eNzBT0sIf9KR0pklf5kAADwGymIpoKWGnhYMOkdpY0R6S8gZJwOWyVtZTsDoDVwRVTmkRgnU4HGx08ysoyklkWzOmeHCUliyeqILiO/wBsgabTLDNWzPcGupoTpydiGk899tgt+kzQ0zqq5yR0umMf5OwaYqdvY0drjnme08uS5ia2R2+aSSNkzZNZ62618xhBJ56Gj2j7sZ78Ldt17ic4UVipZ7hIAesqJBoYXeLjvjfPfyC6ZYSyJQ+fXD7nFDHl3reJvwXWr+3I2qzjKCFzGU9HVTvl2haWaDIf0Wncjxxhb9FHVujFZc9JqXfQhYfYhB7PF3efcFoek01tglu01RRuqZHaJql2Q3bbTGd3HGOW637Zcpq1hklpZoRqIaJARt2Hfffu7FnKKUfCvmbYc251iSt8Fw6+3uZ66vpaChkqKmYxQNGXPPMf+q83uHE4vVQBUB7LVG/2aWI5kqndjSe7v7B4lTHF1pu92uDWRMNRSRgFkLXYBJ5lxyMeQ5AcxlYLdaIOFS673p1O6oziJke+g9zGgAZ8ez710YMMOEM28nwOXtGJiYk3Gqit3w68vqdVa4JjEKu5kR1MjAGwNd7MDOxrR395922FtQWyhp3mWKnYZHHJkeS9x95yVzTr1UOqYKq6ww0dPIQaWnlkw4/pvAGo47BsN/JScnFloihDvShK7H0Imkn79vvWMsPF4ceWxtHHwF8TWnPf115m1eb1SWWk66pccu2jjb9J57h81ztNS3fieVtRddVJa85bSNJaZf53bjz9wUpSVtuvFY+rgohNUQjq9b8OLD3A7tHiRutmpuEtFC59X6Ox5B0Ma9ztR8Tj78K0U4LLFeLrb9kTlHEeaUvB7fN/g3mta1oYxoDWjAa0bAdyjLrd6a22yaulkBjjH5JzqPYB4rk3VVyutW6SoM9TTsOosjcaamaP0nuwSP1rXrbnU8R1EdrtEUMsMTgXyxxlkLD798Ds5E9y0j2an4n6mU+1txeRehz9wjmvE/rniSodR0H+pp2/52Qfmsb2DvcVsPvlZc+GrzTW+2No7JT2yoBOMknQce1357l0MHAtuhqfSbxWGrmP5Dzob8M5K3eKaanj4LvXVQtY2K2ziMNGA0aewclpjYkHBpajs0J97FvmvufM/aidqLzj6wIiIAiIgCIiAJ2onagPa7aGmyWTXob/AMm04BPb7PJStJPh5ZJDhzeTgMqIopYxw3Z2PZ1rfVtPqYNyPZWSiuccUgZ1kmkcmSt3A8CvcwVeDH0R+c9sT/l4j/7P7khUTU9TUNENR6PVNOAJG4a/wKkpHRSUbW1zvQ5AcNex+nB7wf7itWpjp6yAPfEZG9rmjJHu7VmpJWPj9F0tlA2fC45Jb3tz+pVktCcOWpnpqi40pDZXR3CmdsJGkNcPA/kn4rM+KjpmmZtC7HORkeNcee3bfB8MjwWv1LrW8SW+jmdC7d7InZB/2DuPctwVVLXdW+Pr4pmnAc1pa9nhpI9od43WL3tbHWtqb1626/ZGXWNkE9NVUJnY0YEb2jVGB3Aj2m+Rz5Kbor2XU8UtVKYSThsjnB8Ug7tTRsfMAqkJirI5XQ1bnuB9tkexyO3SeR8ORWaGWEsLfROtD8tqAISx3mWEbjyz71SbTVNbGuEnGWaLpP6exgrY5rdV+mU9a0NqDu2dvsHwLht5E/FZbW6GWSaGnZI2FxIkp3ASQ+bCDt7tvBWdTS25r44X1Ihe3XHA5pcxxG/sE7gju+4rALhRvmiqrZHJrJ/yjqB7TO8Pi7fMD3qtXGvcveWdt6ct/WukdAW0goJCx34o+w5+vS5pBx9I75B791FQPv1JcZMCOsg2wA4MMjfzgCME9+O3zUo58cdJLUSviLHjeTqiR/tDtHj2BYG0hoYGVVpgDmP3kpo5vYdntZnIB8RjKwi6TT48zqnFtprSuX61vqrNoTy07XSMopI5uTYmEFso7MHIGod2x7AsFpuj7q+RxBG+JKeQEGNw2D2dunvHMFbcFcJ43ARyOlDA4wSM0u8+7Ge7bPcri70UOqoqWV+o/jYogCQfzg09u24G58VTmmtTZJ2mpacel18zT9Z1UMkzDSFlQMh4D85/SjcRpP8ANdjwWzH1Vwghmq4Y2VJIYybSY357BjOQf0c47itF94bJPG+G70cEx/6tUtwx4zsckBzXdm/wUsypkqSYKujb1T27va/rGEeY+7kk00rqiuG1J05WvTT229vI2GUMUMWCQxmPabsQD2EZ5LES6Cn6tsomme1zoXkbOI5AnOPvWWN7ZQWOcyoppG6Rk58w7K06GmttsdNFRuLZG+2aV8mD7ge/vWS42dL0ay6L1+y4nP1l8M82irtNBFXwP3fUPLNuWQNOp3uJXQ26gqCfT/T/AGpMao4gTEcbD6W+fH45WjU8R0TIAK8mmqQwlrSwS6gdg5hbkE/DxC1bXHDKBWw013qWAEv9K+ifFgyATtyx8FvJNx2r3+5x4bSxN83s161+ScuEdDI4sno6N9RIMx9cwBsp5Y14O/3qPdJW2GilqaoUrYmDUYaeNzwfAuO/lyHNUpp6qZ+mmgubKV2wiqKdhZ5ZLtSkqqesZHBFS07TqBa4VErYwMfEn3LP4ai9evY3tTua0fp037ehy1NxJd75Vmno3UttpR9N8gbrI8jzPkPeulZPT0UjKSlpJ6hzCAZ5CRGwnvkdz8m5W7RvcICap0Im5OIYWA+84z5qFvd9nieaG1UBqKxo9s6MxxZ+4nwUtrElljGl1q2VUXgwz4k7b8vZLVIl6wCjpX1MYLZ/zIiMSu/NAdso6mtdwq5RWX6qYGt3ZRxHEUZ73H8o+eQo+2C8QxmqqbTU1lZ2y1UrWhg7o4+wfAlY71xFbXiKI0jZ65jsPjkh1GPY9mSC7uG6mOHJPLHXz3/0RLGg1nla8naX21fsW3aK9XOocwRy1FojfpLGSsD6jH5xb+R9+Fku3Fc9qpWwMbQQ1AaGtpmF8jx2BukABvvPuV1A++mEVdwqKaipduqppHNh1eZAOB4DcqOuFRQW+rZWsFLU3XJEccLMRRZO7nF2+Se3n5BbRim1FpOuX54epzzlKMXNSave69uPorJjhyC8OnlrrtTYqZmhoe+UNEbOelrADjvOcdik6tr6KUTU7KCB0hPWSyMcSf6v95UJR3j0cRVE9U64VMgLXGCmcWDf6LDkDA7cBdQyQ+jda4GL2dTg840+a58XMpW0deBllDLF6rnTft+zh+ILdNfruIKfAZGAKivkJEbdvoRgnHnjmStK4XiG2aeHeHRI5w2nmjJc7Pa1v6R5E9mfBTtxvTq5vUUUnURvywVtTGBFnvYCNRPdjHeuIrn0lK8WuwMNVU5xLVvf7GrtIGw952XbhJySU9lw/L/RwYzUZSlhbvd/r9+5Nvom27qa+83GOO4jSyjpYGte2AcgGtO23aezHfup62Xf0id1NFVPrZ27EsOrA73OGGNHgMlRNq4NtsVB1tdXMrKyXDnu64Na79AOO+O/HNb74q+1ltPbbfTwxlmt5pYtekd/WPw3PuKzm4z0vX6L9loKeHLNWnk23+r6on5ZKqIuMdJEYmjJdrJcfANAySuIvV/e+7aKSyO9ZxxgNfVOBFO076tHJp8TvyW1NxLUupgJaOo0hwy+SV0erP6LcOd7sBStsdcJIiaS2xUUcntOnnGHvPfpG/xKiEO78Ul79fQvPF755YN/S/xp62Q3o9JQcN1NdXSQ1lZI4PmqazrAxzuwDYFwHY0c1xNrNXxBem6nvEEH4yQsh1aGjkGsbtknkPiuh4rprnxLe2UdG6SeKm9mWUM0xRO7cb7+857sLeF2tXBFG2ip4HTykB8kmtuqR3jjOPjsumMnGOmsn7HPOEJS8WiWm2/0/ZLUtyktlFDT0thuDYBszXjJ37hyJ8cLJdL/AFlBTgstU5nfyYSXBv8AOLdvcDlc7DNxLxZI17JG2+lG7dOrHmTzJ+CmqPhWWgla5txDj/8AVmj6yTP6IcdLfgT4rFxw4vx1fzNIyxWqw26+XXuaUNDc+KIh66lkhpA7IpYoywP/AJzj2fFWV/EtjscT7XAyeIs9kspWBpB8z2+PNTtxqIoqYtbdQxzG+3mUDI73FoJHuwuPju1HTki1WannkGcVDoxHHnv1Py4+8hXgs+rWnLZFJ+DS9eLNZvFNDbHmcW8UmRnXUF01RJ5Z5eeVFV3GNff6K8QNgbBQerKrI5lxEZIyf7gtwcJC53B1ffrqx0sx1dTTNcTjuzjYe5dDfqKkouBbzDTxMjay2Thg0gH6PxU47govTWi/ZFWLGnxX35Hzf2onai80+uCIiAIiIAiIgCdqJ2oD2WgZO2z2WRmh7DbKf2SMOb7PYe3yUj9ODLoo8gZy/l/6KNpKYT2Ky6nuA9W0+nScFp09i2I21FO0N6500ZOCTzb7173Z/wDFH0R+b/1Cn2rE11zP7m3basPkfGYj1R7GkOA+HYpWGGDX1cxL2sGtjn5DmeThuQoOKggdUasaZRuHxkxv89tipP0F7p2yddMHj6MzHAOHmOR80xEiuFJXoTMMkdUNLZnEDYg4cJB59vuWeno4uqlibLI+J7sluvJafB3MKDgY63VocXhzJDlxaNJz5cj+vuW/XwskjfUYiaNG78Oa/wCII+9c0o06T0O7DnatrVFlTRvoIH1AqC2RpwJZmGRwHg5mCfeCsluuF2qKVz2VdJVNZv1kXtOHg5mAfhuo6i4geHijfLFKXDDPSGGMjuznmPepOgp55ql7663RMfn2Zqd+hzfA4wSPik00vEWw2m/Ba+v4JOG5vmYBLBGdQwMP9iQ/ouO2/ccEeKhY7VZKu4a4J6q31sbhqhc7S5rvfn4g4UhPGIy6gZO+F8h1skc1krZPBzcZx4496xOaKSiay+QMcyM4jqomdYG92e0fDCyjS+HSzok5P49a59WvXYnaWoZEx0FTUudM1upwk2fp7TtzHiFpR3CG01EtMyCpfGR1mWNBIH5zW8nt5HLd+8dqqBQzwCo6+OoYxofpbICAexzSTlp9/nutimZNUxNJFLM1j9UZ0OY4eBB+i7y+CxpK7OhOTqt1txLHOp623CpfUNqIQdbZoQRJH34xvy7Dv57KQgYyWnIgmnic5vsztIflve0kEEef3JTzUxYzaOKRxyY8gOznfzGVoG31LauVslZDLSl2vQ4GGSJ3eHMwM47xus3rpt19DVLLUlrfXqUttsqqa4VENRM6oo37xl0THNBO52/JzzyNvIqfZilIa1kbI3HbS3SAfdt/xhc7RUtHRXVwhubuvecljHj22ncamjbP6QGD4FTFTc2xT9S1gL8gFkvsCQH8xx9knwP3KMVOUtNfYvgSjCDvTXnZuTCV0nVtL4dW4lYAdx2OHaD4rRuEbJo2SzUTKtrTh0kIBfCQeYBGT5fcVhnuLLWdTaesMMpBAbHra0nntzHl8FvUVfQXBjn008chcNLw06Xe8cwfvWdSj4q0Nc0cS4Xr11sRlVRWWeKSpfHDE5mHCdmkYI5Eg8ue4IxupKlnMsLXR1EDgzGp7C3S4dxA+ifFRVPQ8NMqsRyw+kRvI1GXDwfHOx+CXPh11XW+kMqI2U2nLtTQdI7SAMA+ZV3lejb+ZSClHxRS+T664mxfKi3Rxgu/GTuI/FQvcXPAO4On+9Rr2V9RMG0tIaYzYINbUB2B4xkkn4LYo5ooephtjqx8rdus0tER8CMAY8t/NS8FBSU0RmMEMcmcvcxxB97s5/uTN3arr6B4feSzdfU16OiZC8TVcrpaiMBr3zNbo8g3Hs47x71IzlkwY2N2C5p6uRvtMz3HGxSR8kc2tkeuIty5xkG3xXO1dtutfUSSRyRMYT7LI5iR8gVRLO7bo1fgVRVmS5WOuqXBjrrM552eXMIDG/oNGxP3hbFosraSNkMLHQQsOSdHtyHvcXNz8FW22eob/wA8rHFjf9VE/T8SNz8VNs9GdH1cZicxvY0ggKZ4rSyp2Vw8CLeZqvmRFdRx1lYBLRNiMY9mpdKQ7HhgfrIWOXhq3iHVDbqeebvllcAf0id8rduEkcQbJkOY0Z0seB8MDKhr1DPKyGZ0s7WnZsMbcuPcBjYeZUwcnSTojEhC3cbfy/RKwTdXCY3PiY8DGwd1eB2D2s+9XRajAz0OoicM7h0peD4DPJcu2R9t0vr42OkHtR0owSH9jpO0/qUlRPuVXN1zAGh2CxsjdHvw0bju3UvDrWyFJ6KjXut9kidNS6ZJnPBY50jhFEwcjhwGT5grStdwt1BB1dIYI4WuAnkjhw09ulgPtvdy3JAAUhVcPG7XJ81XO2OnafbDXkvf38/ojwW1Q0lBBUuNPRxOc32WGGMucO7Go4HfnC0zQUaRTJO7bNO4etLpJDNS26WFunSyeXGWb/S0jf3LZohdGymnhhcxjT7dbVML3yeIBxjwClhTTD8dJl7wNmPcQf14Ciqtk8znvrKmndHuGRdfiIfzgPacqKaksuhLw8rzO7fXyNaqvLROxtK1jpi/SaiqY3W49gY0YJPuVK2oihLH1twkZMB7TWuD3E+DW7D4qAfFM6rkhtMfpVSTiWs0YDR3MB2aP0ufcuhsNspqOfcGrqx9KRozHH5Ht81q8sVaKPDlJ+J7mWBsl2tLmNL6RhzlrgC3wBwMeJwVEUHCtrt9Y6trrhFV1LfbJcG6WY7cb/ep+7dXE4T1NVCI4xs14yR5NHMqNZXNu1O+JlLFFS8zJVc5T3ADA95OFWMpVpsyXhq7a1Rb+EgraxtFa4nGPk6pLCQ0fotHM92cBbMkcsjXRi2zsLtnTdYzU73kfqWuJaqCHNTWNhp8YEdNpjaB4vI/VlRlVcXua9lI1wqXbAyFw0jvy4j7/grpLh19islKXX+yZe+2WSjIm6uIY3ZkOJ9x5rFT3SjrWkxwueYxkBserHkoK10LI6wy1dPJcqt3I82t8s9viVOyU9dUnQaTqIAMaOuwz3hvNGlxKuLWkdjnau8yTVUrp6mpo6dvZrDD8BuT71DVkNHUcP36roIap8TLdUh1VUvPtEs5NHb5reqrLQU9c6Wuqo6h4O7GNwxvhgfNLxUUh4XvUUEb3ONsqPabnQwaO7OAtpy/tvLyK4WF/eg99V9zwDtRO1F5x9SEREAREQBERAE7UTtQHsdvqmttVmhdhpFtp8Enn7K2H0McsnWxvfDLz1RnGfMcitCNnWWSytbNG1/q2nIbI0EH2Vnp6h9OdFTC2LsD2HLT/eF73Z/8UfRH532+LXacSUN7f3N9zOsiLZ3Me5nJwy0/clFchT1AhqJpoz2Nn3B8nBa81TNG4SsMT4u87Ee/Ktj9JrAczU0jD2Ag49xC1as44WlbOjjq2tLjLKBGTu2Ube49oV9U6pmxHTSNMLh7TWFoe3yzkEeGFFsp3ChMYZHIexriQM+YWlTV9Rb3AyU0gY084iJMfDl7wsXhrgdGHitqjoKOzT07Tpq45WEZEVRAHNB9xwPcFkhvFRb3+iVNBpaNw6A4aB3jJx961PX8NSIjQyukkBy+MODDjydzK22UVBc2+1FPFI3O4zG5h7cHs8twsZJ/80dkXrUHTL5bjbpYmzvqqirY12RG2MSOYf8AZ3b55W1S8S0VRCYAa4uxgGWkc53v2wVzlwoaTh17KtlVI2Yn2H6wHDzbycPLCmbffobixjX1BLnHTrhmLBnyIGPiVSWGmrWqNYYri2nozdoo46ecGdsBhcDoqGwmIHPNrt8D3jdTMcUT4nxRsxG72S5j+XdjBWiA+oawPjlErNnazu4do1DY+/4LRkkow+Q0MToawEt/F5a2XvB07Z92RhYNObN4yWGttPcmHU1PXUhNTHHVujyPaAyXDxxlpVLdLDLINEc1NVRt0Op53E5b4E51DuIysOqrrLSDC+amq9ILnMDXF/jywfuP6lrCnqpKb2bnLVuD8iKUMD2OB3II0uzz22VMujTfX2Nc9U0r0+v5JV9oo5CXOpGubnU1rTjS7tx3d+RhVorlQTyugirjrY4F0cz8k7ePPko11PTVFbFJVwCOd+BqZUGOTI8iNXljI2WGrbXG6w1FG8ujIwXOpXyHH5r3A5PeDjbsKjJejfXuWWJldxXH5/j8nXtdHl4qA3q3Ae12HwI/vVX0NvMbpH0zHtPaRqcPI81GWU3GKSSGrMU0RALHM9kjJ5Fp32Us1+l5007hg9jgPguWacXSZ6OG1OKbX1NVraOBuKeKN7cbasucPiFsNcdLXyRBuAQC72du7b+9bUbus30FpHLOxCiOKaqpoeF7jU0RAnihc5pB3Ye1wyCBgZPI8uSzcjWMFwJKHTO0fiGhreR7vJXvjJ9rdh5HAzlc3YK+oltNwbSzNrZIKhzI3urjLE8aGu9iUtJIGeRzg5GcYxtWvh+0S2qjklttM57oI3OcW5JJaCSq2Xyo3Ba6Vr+sbFISDkEsK3msOC4RujzzONz7lGmwWNpIbbaZx8GK31BZDs+2UoHdo3UuUnuQoxWxKYjflrg6QkYILOaFr2tEcEAZ3nTgBQ81kssIjENnpZHyP0MbjSM4J3PZsCslNZLHUQCT1VTtdkhzC3OCCQR8RzVc2tF8jy5iRioooi6Xqy+U83HIPu7lbI18rSGxub4jIHwHNcmySzv4sdZDw9AGAlvW4yc4znH5q6E8N2XH+jKcf7KRxM2qL4vZpYNKaq1fyZSGx2+GQSSUodITkl2XE+5bjoY2kyNaI/ENIWn+Dtj5+rKXHeWYWF3C9l+m+30+n+ZgBXzN7mOVGxODUnqo4i8kY1OGD8exbNJRR0UZa2MDVu9waSXHxKj28O2PR+LtdN5mPOVlHDllewD1ZAP/ALaOTqhlVmy6jpZQWiE78y0ED39614bXQtmy2jc53Y9+dvILG/huzAHq7XTuI7NOB71Y3he05Jfb6XWdw1rcAKVJ8yuSPIkBbKaEFzYdI7mA/qV0VOGNBjpNI7id1ojhu0aDqtlLnv0bfrWJ9ksjWOc610rWt7S3/wBVFyZOWK4Geqs9JXVHWVNLqeBgAZIWnV2qhh0j0Uvl7NRJDQsbLZaJXFsNmpT46P7ljnsNlDsy2+ma78xrMk+aupSQyx5FrLRSz1AlqKcyObu3WXHB+KkYrHQGTr5Kdz5s51vcSQtKLh6yhuuS2UzAfohzckrMLPZNeiO0Urj4MwpcpcCGkb0VJFEcQ0RaCd3EHJ+K0q+mgfIQyFzn9pJJCScN2mT2vQKYN/Njbkn3rG7hazc/V0AzyaAoUmMsTWpbDbuu66akY9w5as4HuWtxnR00HAfEDoIWx4t030W4H0VsVNioaF9LNBQwRSiqhw9g3GXgH7li45bjgfiD2yT6um2J/RUuTfEKMXNM+Ue1E7UUnphERAEREAREQBO1E7UB6myqp20Nminizi2U2HYz+T2qWhERYNABb2dq1IdMdks8kjyGerKfI05H0fLKwMnp5AW01c+I55AZH3he92f/ABR9Efn/APUI5+0Tq93zrclnBjmFrXNYTyIAP3LRNXDQ1OieCF5P5ccYafgVijnlpptM9VTyA7+00sJ9/JSjmMqIcFrHAjbUA4LY4Gu7fi1TM9PWU748x6sO/JOQfdn+5ZpLgKQDXHUuYRtMxgdp8+1RjYH0w1Qxwkj8mNvP3ErLS1NdLNkujYPzC0g/f81VxshUncdjbb6LXwvf6XLI0e1iMYcCPArZt9UJWf5PW1UjmbYMYaT4EnY+/Cu66NrdTtGrkSeXkVhbS0oidKYBTuGdz7TSs2uZtDEXAlRVQEE1FLJHNpIL5ofZPnj+5KC5PbTFtVRRugzhs1O8SRHz7QfMLXt0jhEGa6aZuctaxxaR5ZJwt+WOkHtvp2anfS/Jz5nkfeueSSdNHbCTatPr8my+WYRPbR1AY5uDofF1mgHyO4+JWkKO5SEzVMdNO4kYfC6SN/g4YP3LWvdfVW6CF1G1zGjOzIi/HgcZ2WK38TXetgGiyyl3bKMhn3j9SqoySuNGuaL0lehJxR3wO6qaRzWA7da1k0bvNw0ub5qRpjFGXVc00LpgA0kZ1DwOrfbsJ+OFoMZcHRSyQsdSTSbhsr2vYD4EbjPcRhWukhrw2iu9LFHUsOkEkcyPpMO2fELNq/8Aw1jKuGvn1+CdETZHdZI+CQkDOtmlz29mRyyDydhRNfS1peZX3J9NQiTenbHI3R5luTjx5KMLK61174qajfKGj2Htpy9vLvLs4UrEbzVU7XvqWPZg5jgjET2eILs7qrjl1T0NoSz6NUyRsjnyveYafVG0ANmFYZc7+OSF0zcO9ibRuM4yudslE2kbJJEyYuP05KqcuI9w294UzG2SQbVAaO38ofeuLG1kepgKoI3vyce0MciVUPG2Rue9a8BIdge2R26s5/uWrxC9x4buQjqDTSGmeGzaXOMRxjVhu+3Pbdc70OlG46GJkDmRNjY1rDhrWAAc1itLm+pqH2hn0aPt/QC57h6eQ8P1sdG6lqOpncyOf0iZ8NQNLSXNc8vdtnScEjIPipy0hr7PQZjJPo8XLl9AISSIIOQ0jPhuoulfNLW6ZS52S/rGGItEeDth3bn7/BSRc1gaMhngrtQIwcjPuUNPgWjJJO0YKiDr2dU+JpizyIWSDqo4xHE3S0bYAwFp3ad9JBCY3iON8obLM6MvEbcE5IHiAMnYZV9BVTz26KWSHEpLh7LC0OAJAdg7jIAODyypIt1QrrdFWlkzXPhqY/8AN1ERw9nh3EeB2UdLdJqEaLxphYBtVMaerf5jcsd4dvYVv+sqc1zqI1dP6Y1us0wkHWBveW5zhYq6gF1pJKWp1GKUYIY7GN85yocWtY7muHiRbUcXWPuvT9bGahmprhSsq6edk0BzpLdgMd+e3zWSWUSODWNL8fBRNPap7FTCO3E1VJ9J9NI4B+e0sdt/VO3cQrGcUW0VsVEJJGzykNDDEWhjjya7PIqFOl49GXl2dzk3gJyj7159VyJ1j9Ef4xzQD/x71rTztB/GylsfY1o3KydU+ImWQ6n428FHiKSpmJb7bu17hsFqkcpl9LlnxHCxwb2FbJxTxjBAe78p7sjPeVRpNOwMk6sMxvl368rRqzFVEYqI42DOcDfH9ylKyjKT1cEGcTdfMfD2Qtd1S6tmYMOIHMbK3raFmaeljdNIR7TydsefyVwkeYnMgEUcTNy7Xj4ns960SIbokGnq27sY0gdjwGt81rzT07CXmojJO5djn5Ac1GG5RHEQDZXA7PLfYae/HNxWOSmM8mImOfI7cgfk+fd5JlC8zfNzZKCBG52kczsAPHHJbVDL1p2a4s7TjDVp09O+jbh7GvB33PPyHas7BDPmSR7g1vMdZt92wRohyXAkTUQhxY05d4DKscXAF0jwwdmTuVp0te2aQxwRANZ3cvipIYPMAlUaomyDuksr4YGscdPpUO52/LCh+MARwXxAGnWBbpsuxt9FdHdm5jp8Rg4q4N3HYfjB2KN459no/wCIB/2fNyGPyVBpGXiR8mdqJ2ornoBERAEREAREQBO1E7UB6zDJO202fQ+AMFsp8h2c/RWWKsp//rQgn813NazI4za7PIyMPmFspg7GPze3KqKKCV4lMHVSdvLB8xyXvdn/AMUfRHwfboxfaJ3zf3Mkr6Vsv+U0r9OdnkF7fu5LYgmoonhsZjjJ3GCAHeSxRTwRvcxr42lvNjfksfpNtq3Fr5Iz3tkGB962OKUW9GnRtvqa2B7i2kEzOxzH7/ArYZVx1UXVVFPMwOG4cwj7wtXqHxU4FG6Nh/SyW+7dYoo7jJLrkIiI21Rv2Pm07IZ5YtXovYkBR0lMQ+GN8TiPps1Y96pNeMzdRAJy4DGqIf3OG6zMnZDG4zVDDp3cSQMfJaNTeIi7TSS0zyR9IztafvChorDNJ8ydopKiRodJMHNA3aYmhyo2psVNMQXQQynZzXOIIPiM4ULR1Nyiky8vmYezT1n/AJhhb5ttpfBrmo4IiTucaN/NZSibxnldSdm7NWVfozpIaqGSnafpUjX6wP8AZJVsBpa6VtRFVVkdZsCyV74+s8OxYIqVlvY51K6QseMAmQvHvGOXvUbFWXClqG0klfA+MEARyayB3YOnZVycjVTzHZmqqop2fipTCG5c3WSfHOxB9xUfcKu5OqmS0TKgUZ9kEFrmAd5acEe9b8T3VFKA6Ysx2wnGR7wo+tqLlXvbBQxs6pjgRPHUhsg9xGy50lex0qTfEkqaSSribHTvgDmgmWCaJzQfL2uXlspO2VdG95potLCAQTE4lvmCfkoNzbvT0LW1FUZXv9kYI1MPeDtlb9rt/obWu6+t6x30tbgW+8Zx96yxEqZ24OlHUW+n6l0rDVvkJAJEmCf1LU4judRbWR/5darfA5waKivDpC92CdLI2lvIDmT7lvW+NjMuGp7yBlxAyVB8QUT/AMI7K9l1raaaWSRkJjEIbEBGS85exxcSMDT24ztgrzcXc9nB+EkrFcp6+j1zyUNXET7FVQlzGSEHBBY7JBHmQpzOlo0R5H6J5KC4frpKq1B1VK+qqY55YXySOY8EtcRsWNaCPcO47hSNxkrobTUyW6nbPWBn4mN5DGl3jk4wOeMjOMKnA1M02t8TgI8Yaeew5LFaSPU9CHc/Ro9h/NC53hplzi4brY3iWmq21tTpdX/ji8F5JcdDh3nGDju2wpSirJ2W22wxRtdI+mYQC4NGGsbk5PmNlDJUW3SJhojLshuXd/aqOLGk+1lw5tzurIJhU0kc0ZdpkaHDPPdRdFaJKOtjmPU/izL+MYD1k2s59s8tvfuBjClENVoyYa98gzksb57lV1BjSXvAHcFa52YzjBI96wtjkJBlOQT9EJRFnJx8EUTePH8UsqqjrXPMnUOA0h5bpJzzIx2f3Lr3SNjZnOewZVr6inFS2mdLEKhzS5sWsai0HcgcyrnY5kjPd2qW7FmMPeRqdhrO48ytOus1DX1LK0NMNczBZUtGXAjlkHY+9bzw8HTGw6u0nkrmQci86neKrKKluaQxJYbzQdESbu6kBp7iyONx2E7doZPefonwPuJWWGqFbT9ZQ1EUkIOC+J2wPd4LeqrfT1tHNSyNJimaWPAONlD0dil4ejPq8urKdx1SwvwJCeWWO2HL8k/FVzSi+aNlHBxIN7T5cH+vt+MzqX2gZJW4596wVNPFJJpNRiFm5DW7+ZWKu4itLZYYpql0QecFgiOuPs9sfkqUktTZHBuvTCOTW8z4krWOJGWzMMTBxMNJzTV7aEdSuZI51NSU7jEfpuccbeKpU2yrqpBC57YqVh2A7fHA/vU3FBHTx6ImBrf1qkhwCcE4HIdqupHO9HaIkW+ioGGZ5Olgzlx/4yo5tTU3WqeynzHTt54OkDxOOZWaa3VlyqNdW4RRDkwHJAW/HHDRQiOJoa0b/wDqVoijkl5shbjSNoIGPdUOdJjG5JLj4dwWrQQz3CQNfLpiHYT+oLerjTV0rGmUOe3sZucefYs9MI6aPRC0NHae0+atRKm1HzJemijpohHGMNH3q57pnPw2RkbO/mSoOW7tjcWM9sjmSdlfDVVNRjB2+AWbotCEt2b91mjhpqfW8k+lQHc7n8YFC8aV4n4I4giYw4Num3P81bFfAXRwGV5JNVDn+uFq8YsjbwNf9LQD6um/ZVKNYpJo+We1E7UVj0AiIgCIiAIiIAnaidqA9PbMyGlszjBO53qumGprcj6K3GTdY3LNj+m0hRklRUx0lpZE6It9V02QXYcPY8VlZI6eEBzpCQd3RkZC93s3+KPoj4jt8P78n5skZKaCowZYmOPeRutCqonCQmK2wztxgEynPwW1DA5g3qJXjudj5KkjKsB7/SxGwb46rOAtjhi3F6P7/g1KOSrhkDH0TIGHb2PlkqdEuiHW/fAydP8AcoCKpb6QOtcJvE0rmn4hS7+tmYOom6vHPVHnPxUor2iNtWq+v+yJqa93pjTSwyy55mVpJz3AKdo2Me0SS08TX4z/AJkNI/WtR9NWlmGVoBP6GB7lWOrhpD1dTXMMg5hz/wC5CmI1KKUPzf2N+qdVGICgMTDz1HBB9yj5hdJ43U01ZCzP0h1WMjzwQqslo613tULnDseWAj4grJoNJu64GGE7Bp0tx71FFI+DTj6f7Nm1w0tLEI2VRceZb6QHA+7ZbkrZoSJIJotQGxnByD/OB5eahIqahy6RlykkxvhsjSM+QGSqRXC5VIMMcMRjG3XSxEAj+aTklRRLi23JP66EjJXXHGqplMAdsJYJst/q4I+8Lo7dLUNia6SsjqWfn6cE/AkKApvTGgaaimA/KDYCM/eqvj9B11RuFYyPOp0cYaRnywspwtGuFjeKr+52jquWNn4mAzPz9EPDdvMrKYpK6BrpHS00g3Ajlz8ewrjbbV0Uz3GlrKlpIy6Nxy0+4qao5WQDTENOeYBOD7lxzw62PXwcR7HUWOR7TMZYJn6QMSStDXH3c/iobjmoqS2j/GOkpHNlfJQmkhna8MbkyEykAacjb4KVs0rnmXAydI7VTq2Xq81dBV0lPLT0UTS1srS95fKxwLgNho0lzfE57l5uOvEe3gPw2bPCBnFjDJo5YpYppIjDK2Jhj0uxpDY/Za0dgBOxz2qeAfjJAz3ALn+Ei2KzPpmxQsdS1MsD3wOcWSua7d4LiXb53yTggjJwpS6dXJaatk1JLWROicH00R9uVuN2jcbkeKy4GvE2JXjqHPcctLDjG+dloUEEVTZKFssDHtEERAc3O+gKJ4boqiOyXKOBzqVklW+WnkfRGIFha3OIXH2BkEdmcF3apij0MsdA6aoZFH6PECXENydI7SoWpO2xvZaW9W0hpA/JHJY5WPYz8U4aj+U7sWRsbGN0tGMLFPAycBrnODQdw04yroo2Y6cMMmTKZpB2jcBbBjySXcu5WRsjibpjaGjwSQvMZETmh3YXcghFmC5Wu3XSnEVfRw1DW7tEjAS3xB5j3Fc5emT8JWeou1HeKkUsAB9GrG+lMOSAGtOQ9uSfziF0kVJh2uaR0rvHl8Fkq6Okr6SWjrKeOenlGmSKQZa4eKbEpnK8P8di62hlxrLRW09M9zmGenaaiNpbz1Bo1NHmCPFdVRXChulMJqCshqoe10Lw4DwOOR80oaGltdCyjttPFTQR50RxjDRk5K874gulK3pIo7LLY3Onn6sesaaR0M/tflNLcZa3tznkUq9i6pnqLcY25Kq5Svdf+HLdUVtPXNu9LTRmQ09XHpnIAydMjBg+9vvUdwt0k014thqrvTm2gSFgqNLzTO5f6zGGnfkSq5XuDprvYaG7aZJow2ojwY5gMkYOQCDs4eBWJt2fSyinugjikOzJ2f5qT/C7wPuJW+ZhV07JaaaN8DxkSMcHBw8CNlhNHE5jmyMbIHDDg8ZBHkq5Kdrc1WM3FQxNUtvL0/RcZCd9x5jCxPkdjGVo9RUUGTQu9KpWnBpi8F8fgxx/ZPuIWxT1MFZEZIH6tJ0uaRhzD3OB3B8CtIzWz3MsTApZo6rrfl1VlrnEdpUTX081U/DptEX5reZ81LvatSUcwtkzBRp2iPip46dmmJuO8nmVcSRtlXuB7FiIAcNXMq9jLqVbTwg6zG3JW1G4ActloPn0nHM9yyxOkf26Qs5M2jF8TLXu/EwYH/Wof2wtHi95PBN/B+rpv2VmuErWwwAZcfSYd/8AbC0uKi48F37UB/o6f9lUsvFao+Y+1E7UVjtCIiAIiIAiIgCdqJ2oD0msndDabOWshd/yZTZDjv8AR7ljoaune8a2Qxv7w0hZaiCCe22cSAaha6bccx7K0IDFSyHRUsIz9Fzf717nZ77uPoj47tSjLFxFxt/cn3zxxR63vDW96pFXU02QyZjvDKi6mtidEGaXzeDHY+9asL3Nd+KpBHntdIStnLWjjXZ7i2/wdFI2KSPQ7OnsAJH6ki6mnbpY5wH6Tyf1qHdJJjDnnPmsA60EkTvJ7A7cKbM1gtqrOhkqgxpJcA0duVFVBt9ZM6QASyHs6wjK1PSaprTljH+DTgrGKt5OHRPZntPJVckzSHZ3DVfc3Y7g2jAApOqby1NdrKyC5sqQRkZPa5mce4qKkqcjAeWnvCxtcesBkcXsPa0nZRmNO4TVta9cyagqo2NcG1UervEbWEK2nkM5PXPfM3xnBx7gtM1ETYtRJI5YIz+tXiqMbPYa3T37BLM+75IlYK8McI4qedrR+U4YH3lZpbxVxP8AxbA6MDcl+M/coZtxhkIaCdXcAsvpAdgfel2iqwEpXKJMUNTJI7rDO4An6AAx+pTsE7nY0OAPiM5XKRTs1hokye0DmFM0EoaRqc52e8rlxD1sCC3O84eOt8zi329Lckb9qxcXQ0bZKSprqa3VbXnqYYaqGXrC7BcQ18TXHBAyWluNuax8MSEyVB6wkaRsBjtW5xC6WWe1R0Tnx3N8sno0wmETWAMzJqy1wdkY9nSScZ2wvJx/iPWwlobHCd2p7hTPjpqigEUDQ1lHRwSRthaCRnMgaXbgjZoAIPauk1AAkkAAZJJ2C5vheljEEla987qwukp5+sqBM3W2Ql7muDWg6nHngcgMDClLsW+p6zVQPuA6p3+Rsxmf9DfbfxWK2NK1N2OqhqaQzU80c0Tmu0yRvDmnbsI2UW2jfVW20zRugL4aYN0VEZewhzGgnGeYxz7iR2rTsdPOLRWSPZPQ1dTM6aZrqZsbWu0gYYw5GnDQMnckE9qk7a7/AJIot/8Aq8f7AUrUq9DNSxCioYKUSOeIY2sDnczgYyrnT4WJ71rSSbbc1qkYys2eu3zlXCoAUd1pyq9YSVfKjO2iTFQFXrclRokIWRsoHMqHElSZICXbGVUOBcHYGobA43CjvSRrx2LZZKwtydlVxLpm2HlVBa1mgABuMaQNvgtbrd+fwVC/fY5VaLJnn/G1zoeGL5QQ2+0zwVFb7b6m3zmAu9rTpDQCx7u3Dh2jvXWOPEVA1zXinu8JyMsxS1DR5bscf6qk9nEFzQdJyCRnB8FkBHeoZqmchwvJbLPUzwVFdLT1dQQG01fCadxxncajh58Wkrb4svNo4fFPV1889LVTEtilp4tbyBudQ5OaMjn37KTpbjZeIoJ4Kapo7jDGdM0YxI1ue8HyO6g71wBZ7nFEyN81M2FxfHCHmSAE8/xbjyPbghVjhwistaG+J2jExMR4s34mS8FxGIW1mhnXAGGoYfxUwIyME/RJ/NPuys9RojGXc+5Rrqm60kHo9wtENfSBoYX2/GS3lgwP35fmuKgOHbvLUV9THDWRVscWW+h9biZoz+Sx24I5YKhylBpbovHBhjRck1Frhe/oT8ssj/ZjjaB343VgjkG7nZJWw2dlWwupvog6XahgtPcR2HwKsMEmrvPeVopmDg4umqMRj3yeavZE6TtGFlZS75eS4rZa0M7gobsgjrhE2KCA8z6VD+2FH8WSauDb8P8As6f9lSl1P4iD+lQ/thQ/FR/90b8P+zZ/2VBaO6PmftRO1FodgREQBERAETCYQBO1MKuN0B3tbUTRU9pDdJZ6rptj/MWo6pL/AKTG/BUu07o2WluAR6qpf2Fpsm1/kuHmF6/Z8VLDir4HzPaezyeLKSS3NkzSA5DmgeSq6oL26SfgVg1AqgxnYrXPqZ9za1MrXuach5WUVLwtfKHlsVa6M3Bt6m0anI7crWLml/sxuz/OVvMYParCxjDtG3V49ipKVl8OFOuPXmZs58FcyUtflzSceKwte7PtaSO4Kodl2Ty7gmcq8JrdG1JNqI5LGDqPtEkdxOyt9gj2WHbnhWulw7EeoY5uUuSRnGLbpGeLUHFwpx/Oyt1haN3yMb3AlRoqpg0N6wkDv7VRpc9+SCSq5uRdwe7JenmOr2GO37XOU3SYYWuwQT3qEpNERBe12COWd1vx1RaGtczA3II7fespnRhS1pHoXCsuZakZ5Mb+tS10s5vDTFNXObTEDNO6lhlZkfle20nK5jg+o/HVTcY9hp38yuyjlzyXm4y8R6eH8Js2uk9XUEVI2XrGxDDT1TIwB2ANYA0AeAUi1+duZ7FoRv7ysxbHPG6KVodG8Fr2nkQeYWJoXtqIaildJDIySMhwDmOBBxkHceII9y1qB/8AyVRdn+Tx/shaNBbZKXh0UIc+jLHSlvoxaCxpke5oGxAGkjsW1b/9FUef4vH+yEQaMsk2O0LCTq3G6TDPJYGucDtz7FojOUTM6FzgCMDzKvbA8bgZ8Vge4gb81lppC4EZwfHtVrMXFmM5LjlwyOwo8POAFtTh8bXOYzLQB7Xeo50jxu87ZS7EYsyFr2DJBzzCuE7y3BzhYOvdgN7AtuOYGME45YQvTRmiD3AOdkDy5rYw530QR7lrMl0SDLiQeY5rN6SNRGoswe3tVGNTONTB7TfuRzWSRlj92vBDh3g7FYTV5OMk+KRzPOxGQqmiTIfh7hC1cJvqX24zudUABxmeHaWjcNGANt/NTZdnmrC7fBTOR2AKGXLwDkHPiuVpOj3h6ir6qqNM6p9IziOd2pkeTk6NsjftznsXTF+Po4VS449pLolHJ3Wx19v0Vlhq6wytcGugld1o0dwLvawO4kradfJbbFTi9UM8JeADPCzrY9XiG7tPuK6MAHmqSQxzROjewPY4Yc1wyCs8rzZkzpWNFwWHOO3Hj/ryImhv1nuNb6JRXKmqKjTr6tjsnHafd9yw8UOu0dhqX2RmuvGNAABOM+1pB2JxyUbUcCW6kvTrvBDVPLgS6OGdzJGOP5bCOZ8Cfis1TV11qtrq6kuUdzpGkN6msj0y5J+j1jRz/nNVs8VuV7mTaya3117GGhfdZOG7e+9M0V5qItbcAHHWDGQNgcc1ZxT/ANEr7/4bP+ypCetjuNspamIOa19TF7LuYIeMhR/FH/RO+/8Ahs/7KJp6oo4uE8slTR81dqKuN1TC1OoImEwgCJhEBXKZRFAGUzuidqA7C7F2i1YH/wAqpf2FoBxDclbl3l0+q2/9lUv7Cjw/uK78J+BHkYi8bKFznO2JwsrQ1hDicHxKt14Hisbh3lXuilXobfWNPaELwP8A0Wo12Ffk45q/eMz7iKLnsYTlw+9V1loAa0Kw8s5VxaS3nh3kqlnS3GXnd2yyNfnlhYdO2HFzvNZIWxNeC7IHhzUpuyk0qs2GOIZ5rE97GOILiXZ5AKREuKR7mujjDBsBjU73KPLw95dK479vMrSTOPCerbRVr4iMkuz5LbhfCx2BKd+5pHuWk98OnDSR4krBnLsa89yq50aLBz66omI6sCXm52DsSNh4LbbVO0teHBw1YaMYAPcoCN5Y7HWOGTjZSDZmRM7nHkAMkj+5RdoOGSSo73gqpcamsJcNXVtGB5ldoyodqyea834KnMlbWnfAYz9ZXfwyDSPZ+JXBjfEz1MH4ETMMucElbLqmKCF800jY4o2lz3uOA0DcknuUXAQRnOPcrrnTSV1nqqWEsMskeGazhpIIIBPccY9652aokqW4UtxonT0c7JosObqbkYIG4IO4PgVS372qj/o8f7IUfSUdRVRXKSsbJSvrajrQyCoOpgDGtGXtxudOThZYauehttOya2VWYo44iWvjO+zfz+9VsG65uTgqgpwdwTnyVPSKg/8Ayuq/rxf41Q1NVy9VVQ/24v8AGrJkMtdT4cdRJVY4yD5d6wVdbPTU0s81sqxHE0vcQ6InAGTtrV3pVS0YdbKvH8+L/GpzEUZ53yaRh5wtN0ZcdyVkdV1BGkWup/rRZ/bWF9VOxrnG2VWGgk+3FyH+2mYlRSLuqwsscTttie5YqatmqKaOeO2VRZIxsjMuiBwRkZGvbmsvpVTp/wBFVXmHx/40zCjKxhDcAHPgVlawMbl4cD2HmsEdVUZGm2VQ3x9OLf8A86x012kraaOpgttZ1bxlpcYgeZG4L/BMxFG0Ghx1HA8MrKGtxkOI8CtQzzOORa6kd/txf41d6RUjGLbVHb8+L/Gosk22sLuWfesbs5wMrUir5phIWWyr/FyOidkxbObz/L+9XirqM59WVeP58X+NRZJmGcrKGnvWl6XUE7Wuq/rxf41ay4TySSRttlVqjIDvai7QCPy+4qCSTaD2nKuDjqyeQWiKyqDf9F1X9eL/ABqvp1Sedqqv68X+NAbb3ZCi6+2w1Ye8YZK4YcS3LXgcg9v5Q+8dhV5ukj6h9OLZV9YxjXn2osYJIG+v9Eqx1ZUfVlV/Xi/xqrSapl8PElhvNF0zUr444KSmiiY2NjamEBrRgD2wovig/wDunfv/AA2f9lb1dNUVPVMFDNGBPG9znvjwA1wJ5OJ7FGcTPzwrfR/2bP8AsKyItuVs+cM7plO1FodYymURAMoiICuEwmUyoIGExumUzugOmvY3tZH1VSfsKODsBbV/kc2a1js9U0n7Cjg8kbDZdmG/CjzJrxMvdMQ7drj5K9hLz9EjzWLrWt54KyibVs0HPgrplTMWgN3cMrCZSHBo3z9yo5ha3JVmSOfbyUtkJG/E4BuQclbTKqBrdL49RPMkKK0ODc5+CsDj2lS5OqMMTs6m7skZ9HXYiGWkZ58lYYy7GnGfFanX6WFpySVkE2zGsyT3lE1xJ7uUUkjMXGPILs9+FqvlJ78dgWy6UAHV8f8A0WnJIw5wC3ZJMvhrmg1++XZR0hztyWv1zgMFbdPEZWGRzhjxVFbLyairZnjmkYxrmkDfbvWV07pQS4hpPvJWNnVtbu74qx749WWDJJxjsWltIwai5XR2XAZe6qrjr1Hq2Z/rFegR1BA0n4rzvgGcCruDA0AdWzf3ld1Hk43z45XHi/EduH8JNU03IgF3YVK0xBbqBG3MOUBT5H0XZJ2wFMQNLW5e4k9jcLOizZNUx6w4LWkDmR2LDdbpHbX08MNHJV1M7ZHthY8M9iMAvdqO3aAB2k9i14bg5pLBgjltzWCuoJLo+CWKsfSVMAexkrWtd7DwA9uHbb4GD2Ee5ZtPgR6kzTVUFXTU9VA/MM0bZIydstcAR+tXySNY7YZWhCIqSCGljbphgY2JoznDWjAHwCyvcxvJ4PgEokpV1VRDAH01E6qle8MDGvDAOe7nHkBjnvzCw0Fey526nrYw5jZmag1xBI7OY2PLmNjzWtebVNdreadtc6kYXtMhawP6xvaxwJHsnt7+XIlZqeOSnpY43yCV8bQ0vEYjDvJo2A8AmpOhuHYdiw1E0NPDJPM4MjYNTnf8cz4LF1pack7rBUxU9dGIqtvWRB7ZMNe5pDmnIOWkHYqCTYtVaLjboKsQyQdc0nqpcamYJGDjbOy3mx5B335gqItVJFarfFRwukdHGXEOkcXE5cT2k96kWP7iEBiuNZDb6Cesnz1cDC9+OZ8PPOAsVnuIuVI+dsTYy2Qx+xOyZpI7Q5ux547CCD5m+vo4blb6iinyYZ2Fjsc/MZ8cFY7bb3UPpMstS6pqqqUSzSujbHqIaGjDW7DDWjzUa2CRD8A5zlXGXJznOBsAMlYjg+BVksbHxvhc7LXtLXYODgjB37FIpEbY+IoL8yaSKAs6vQdpWyDDgSAS36Lxjdp3G3epfrHEEH4qJs9oFtlkkNW+okMMdOxzo2xhsUedLcN2J9o5dzPgpN4L3ZBGO4IiCyoqBT00kpikk0NzoiZqe7wA7Sof8KYG00FS2jldE6liq6h3WNHo0chw3I/KOQcgdg8gpV8vMY7MDCgXcPQmmp4RVzMhbTRUlQ0RtPpEcZy0E/knJOSOwkeKNA6bLg4gncHsKsfLpY5xDiGjJDWlxPkBuT4LGJS3Lne0Tvkclj68NkDg7SQcpRJFS8RvNqZcI7XUmLRLJKJJGR9S2NxB1EnGrbZvnuFJGcOja4Zw4AjIwd+8Lna+zSSRUkEFzdHFTySSljqdsjJHueXAuBO+kk4HLt5gKUfM1rfbcS7G/iiAnk2PtD3rnuIX6uGb6P8As2o/YUnPPGR25UJfHNPDt8w4H/k2o2/2FNErc8AxumEzumVY6xhMJlMoBhEyiAoioiEFU7VRO1AT3ELgJ7Zt/wDKaT/dqI1l7sNU7f7ZcKl9qlgoKuaI2qkAfFA9wPsd4CivVF2GNNprxjt9Fk+S6ISWVHnzTzMz01G4AvLg49iOkw4txpPiqso7yzYWq4fZZPksjrbdXfjHWu4F39Fk+SvGaZzxjiZvEYPSGg4O48Vje+E4fn2j2Z5K4Wm7mTJtVwx/RZPkrXWi7Z2tNf8AZZPkpzo1US3rNJ5khUMoI5K8We7fVVw+yyfJZo7PdAf9FV5//qyfJMxajCxusjJWc4jGCM+S2G2i5sIJtVeSOwUsnyT1VdjkutdePKlk/wAKtaKNNmg50jnHAWu9/Z296mBbrkzYWiv99LJv/wCVYjY7jJNtbK/vx6JJj9Sh0SiKa0veGgZJW512kaW4aGjAWw+z3eCQhlqrckYyKST5K1tjuj3b26vB5nNLJ8lF0GrMLHucQQfDKqWMc7Akwcdo5rdZZ7i0aW22vLgOZpZMfqWvJZbscZtdfk9nosn+FTaK7nVcAyMFZXs08omZJ8yu9DiNOkg9mAuD4EtVyhq64yW6tYDGwDVTvGdz4LvYaCrI3pKkY/8A4XfJc834jeHwkzbBEzVLIHZDdh4rZfMxwBDs5z7H6t1oxU1Qxpb6HOcke0YXbfcnVVLpNfodQAP/AOF2/hyUaEVrZvRzCIjLR36jzW1FVND9nfHlhaEVJMWZfSVHhiJ3yW1BQTufl1POMctUbsfqVaJbNoSufKHBmR3c8qSp4mPw4x4ae9W0NLNgddSOYB2hmx/vWcvljJDYpMHdo6s7KDKU2a0zxHqjJOBvhR8k0pflgxjxWWskq3+0ymmd+loOP1LQPpD3HNJMQezqnAj7kovFsyF0jgXPGkZ55WRj2sGQcu+5aYNX1jR6HPg7f5pxH6ljMVbHICKWoLee0TsfqUUi9slWytc05OCOaNl35rSZ6VI12aeoDjyIhdufgr446o/Sppzjl+Kd8lDJRt1Nxht9uqq6oP4qmidK7fGwGcZ8eXvUdaeLOvtLOvbFW3QVRozDQvaWvk09YCHF2kNDNySebStupoHVtK2GppZzH1jJSzQcOLHBwB23GQNu3Cj7tYJ6p4q6GGWCtzGQ5uuIDQXYILGktfh7hqwctOCO6jJMVX0jWujZAZ4KmMyNc98chYx8bWyOjO2r2jqY7ZuTgZ7l1GpsoDwSAdwR3Lmbfwa2C300M8txbPGxzZpKaSSMTtdI6TQ/tcA5xwc53O+5U7KyoJz6PKcfkiM/JSvMhmZ7mxN2cN/HdaxqGtdgOPhlacrKvUWilnxzyYnfJYXR1jW5dTT8vZAid8lcg2H1Ti4gAkZxqWA1b9XsuKxQvrS7T6LONt9ULsY+CyvfUaMmjl27BC75JQsvNY8DU5+ezzWB1WHO2OAtKobVvk2panT2fiXfJYuoq/4rUD/7LvkqssSTqrS3uWnNU6iTla7oaz+KVP8AYu+SxOp6w/8AVKn+xd8lDaJEs2VG3N+qw3sf9mVP7BW46lrD/wBTqf7F3yWlcqapjsF7dJTTsaLZU5c+JwA9g9pCqStzw3tRU7UWp0lUVEQFUVEQFMplUymUBXKZVMplAb0V3ucETYoblWxxtGGsZUva0DwAOyv9e3j62uH2uT5qOymUojQkfXt4+trh9rk+aevbv9bXD7VJ81HZTKikNCR9e3f62uH2qT/Enr28fW1w+1yfNR2UylIaEj69u/1tcPtUnzVPXt3+trh9qk+aj8plKQ0JD15d/ra4fapPmnry7/W1w+1SfNR+UylIaEh69u/1tcPtUnzT17d/ra4fapPmo/KZSkNCQ9eXf62uH2qT5p69u/1tcPtUnzUflMpSGhIevbv9bXD7VJ809e3f62uH2qT5qPymUpDQkPXl3PO61/2qT5p67u31pX/apPmo/KZSkNDf9d3b60r/ALVJ809d3b60r/tUnzWhlMqaGhv+urr9aV32qT5p66uv1pXfapPmtDKZShob/rm6/Wdd9pf809dXX60rvtMnzWhlMpQ0N/11dfrSu+1SfNPXV2+tK/7VJ81oZTKUNDf9dXb60r/tUnzT11dfrSu+1SfNaGUylDQ3/XV1+tK77VJ809dXX60rvtUnzWhlMpQ0N/11dfrSu+1SfNPXV1+tK77VJ81oZTKUNDf9dXX60rvtMnzT11dfrSu+1SfNaGUylDQ3/XV1+tK77VJ809dXX60rvtUnzWhlMpQ0N/13dvrSv+1SfNPXd2+tK/7VJ81oZTKUNCQ9d3b60r/tUnzT13dvrSv+1SfNR+UylDQkPXd2+tK/7VJ809d3b61r/tUnzUflMpQ0JD13dvrWv+1SfNWSXa5TRujluNZJG4Ycx9Q8gjuIJ3WllMpQ0K5TKplMoSVymVTKZQgrlFTKISURURQQVRURAVRdXwLwNUcc1ddBBXwUfokQle+ZhcCCSOw7clI3vosuFusEt8td2tt8t8GevfQv1OjA5kjfIHbvkDfGFGZEZldHBogBdnS0nAycDOAqc+SkkqiaTqDdJ1HkMblSXD1mk4g4iobPHK2CWrl6oPe0kMOCdxz7EsiyNRSXENmk4e4hrrPLK2eSklMTpGNIDjgHIHvUYliyqLrOL+A6nhC8W23T10NS+vjbI18bC0MBdp3zzWtxvwfPwRfmWqpq4qqR0DZusjYWgAkjGD/NUWMyOcRUXc8L9GtVfrC6/XG7UVltGvRHU1h/zhzjYZAxnbOVLdBtI4dF0vGfBFx4KroIquSGppapnWU1XAfYlbtnyIyPiFBUdBV3GrgpaOmlnnncGRMY0kvd3BLFo10XW1vR/cbdwZUcQ1kzIHU1b6HLROYesa/IH0gcdq5LB06sHTnGrG2fNLCaYRURCSqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiICqKiIAiIq2UsIiJYs9d6B/8AnnE//hw/W5bPQjT1FvsnFNyuEb4bN6GGvMrS1r3NDi7GeeGnB8wvOOFuMrxwbVVFRZ5IWSVDBHIZYg/YHIx3Ld4j6SuKuKqH0G53EehkguggiEbX45asbnyzhVZVnqlI+38G9GvCctFxBFYjXtbUVM/q41TqxxaHGNxHIb4x4YHIrf4disbOkziqehoJI6KazsnmppqV0HtanawGPAIBAzyxkleO2DpI4j4dtbbZTS01RRRv1wxVlOJRC7nlmeW+6w0fSDxJR3e53UVrJq25RdTUyTxh+WdgaOTQOzCiiKPVOEbtBeuGOKuPquektN1fIymZVR0pnFDE1jA3SznuDufAHkMKrqm03biTgC6QVMtfdPTepnuXq6SmZWM0uw7JAaSCMbE8yvIOGOMLzwjLO61VDBFUNDJ6eaMSRSgctTT5nfxW7XdInEdwvtuu01TCJbac0cEcIbBDtjZg2/8A0FNCj2biS0w2y3cdXPhurhqOJnPElYWtzJTQOAOhnc7SC7Pf5BfN/Yuot/SDxDbOI7jfaaeAVlxBbVB0IdG8bfk+77z3rmHu1vc7S1uok6WjAHgB3KVoStD6P6RrhwZScQWGPiOy1tdXPp4zTy08pa1g1gAEahn2t+RXD9OtLUVnSVDDS0808pt0ZEcMZe4gOfnYbrhuIeMrxxRcKKuuckD56NgZCY4gwAB2oZHbut+TpK4kk4ti4mdNTes4qc0zXCAaNBz+Tnnud1C0ISo5NzHRyOY9rmPaSHNcMEEcwQvYON2uq+gfgyehY59HA5gqNAyGvDHNycfpah5leR1dVLXVtRVzkGaeV0shAwC5xJO3mV0nC3SJxHwfTS0trqojSSO1mnqI+sYHd45EHyO6llmeoXenbHwJ0YW+526WtqzVwuNFpy98QYdTcHwLMg7bbqVufGNu4c4svr7txRFPamQdRT2OGmcJIZAACAQ0Aflbg/ldmF5NbeO57n0i2viHi2sqpYaWTP8Ako0dUADgNaPyc4yOZGea9PHSjbY7i+preNaCvtmpzvQY7HIJnMOcM1E4yNtz3KpQ5+y00Vz6CaOlqHubDU8QxRSOLskNdM0E58jzXb3S4We0cZx8NzXOMWltGIvwbhsz5usaWk6w9oOTtnbsB7d14ZeeNqyut9wstDDDSWKor31kVMIxriy7UBqHLHcFIN6XeMG0Daf02ndO2LqW1zqZpqQzu1/34ylE0cldYIKa8V0FLr9HiqJGRdY0tdoDiBkHcHGNjutNVc5znFziXOJySTkk96or2XsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsIiJYsplMrHqTUqlDJlMrHqTUgMmUysepNSAyZTKx6k1IDJlMrHqTUgMmUysepNSAyZTKx6k1IDJlMrHqTUgMmU1LHqTUgMmUysepNSAyZTKx6k1IDJlMrHqTUgMmUysepNSAyZTKx6k1IDJlMrHqTUgMmUysepNSAyZTKx6k1IDJlMrHqTUgMmUysepNSAyZTKx6k1IDJlMrHqTUgMmUysepNSAyZTKx6k1IDJlMrHqTUgMmUysepNSAyZTKx6k1IDJlFj1IgLMplWooILsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsplWogLsorUQFEVEUEFUVEQFcplUU7ScJXKekjrKp9JbaOUZinuE4hEg72NPtOHiAQgIPKZXRN4QlqPZoL3ZK6YnAhirOre49wEjWgnwBUHWUdVb6uSlrKeWnqIjh8UrC1zT4goDDlMqiboBlVVN03QFcoqbogK5TKoiAqioiAqmVREBXKZVEQFUVEQFcplURAVyioiAqmVREBVFREBVFREBXKZVEQFUVEQFcoqIgKoqIgKoqIgKplURAVRURAVTKoiArlFREBVFREAREQgIiIDo7BDTW211PEdbBHUdRK2noaeUZZJUEai547Wsb7RHaS0HbKha6vq7nXS1tdUSVFTKcvlkdlxP/HYu34b4dHF1u4SszJjDDPcq1lRI0ZLSGRP+JY3ZdF0efgvU8d21lhs9dFUR10rZJKt4qGGnbE8gj2QGyOcBtjbGx3UA4GycDXy9XGmpn0ktDBPE+f0qsidHE2Jgy5+SNwBjl3hdJPbaC62ahszOIIL1VTRzOtU7YnRywGPB6iQOOrRJ7WkH6JAI2cQuyuPHFqtvD1vqGXGWppaptW24WyvnL7hJ1p6skOGWsAAJAOnbvJXndsrbTV8YcLUHDtslpoaauic+pqXB1RUOMjSS8t2DWtGA0eJPNAR3Ctuo5aC+Xqtp21cdppWSx0jnENlkfIGNL8YOhuckAjOwypThKsp+JeNrHb6+y2jqXVftdTSCLW3SfYcGnBGcHcZ25qCob3V2i+1tXamNfDMZYpIZIusimhc4+w9vaCMfDIWak4qdQXaiuFqsdso6illMzeqbK/W7BGDqeTp35DCA7B3DFuudy4ZpLlSUdNX1EFVWVjLUQI5qaNpdGGlpLNbix7ct5DGd1xFfxE2tpZqZlktFNC/HVGGm0yQjORiTOpx7PaJylLxVdaGgttNTStjfbKl1TR1AH4yEuxqYDy0EjJBHPPeVW5XyO4xytHDtrpamowXT08UjXHfOWNLy1uf0R5YQE5wZRsl4XvlVHb7XVVsVVSRxOuIZ1bGOEpfu4gDOkb5ztsq3zhvh2b1vebZc3QWxlf6HRwQwGXrZDFr9lznDDNQIBO+MHdctBd6mlstfaGsj9HrJYpZS5p1B0erTju+mco27VRsPqVrWGnNWKsENOvrNGjGe7HhzUg6u69G0tqjlbUXHqZqWaGGqkqIQyAa3BpMb9RLwwnfLRtkjYLF+AUf4R11p9LrddJTdeIvQ29fU+1j8QzrNMjdPt5Dt2g4BKia/ieS8VTamqsttnuD3sdNU9XJrqC385odpy7HtEAErY/DSZtZQymz24x26NsdFA7rcU5bIZMh2vUTqJyCSMbYCgHMyNa2V7WOLmhxALm4JHiOzyVqz1lXNX11RWVDg6eoldLI4AAFziSdhy3KwKQEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREICIiA6vgniX1LWGnmq3UkUkrJ4KsN1+iVDMhshb+UwhzmPHa13aQFv8VcQ8V0TWUkkMFooZHPlabQ3qqerL8apBI0kPyAO3YbYHJcMGuLXODSQ3ckDl5qWs1+vtsPo1qraljZTvTM/GMef+7IIJ9yAi4opKiZsULHSyvOGsYC5zj4Abkrq4qf8CqKeercG8Q1ELoYKUHLqJjxh0kmPoyFpLWs5jUXHGy1puL+KtMlOKyalJd1b201MyncSfySWNacnuXOFrzre5rjg+0SDsT3+PNASdju/qp9WHOqBHUU5hIgfpO5G/wB+Kn3X+w08rK6ktrGSCQMY1jQ14Z1eHucBsCXBuN+Tn+C5F1JUtMQdTzAyjMeYz7Y7xtv7li0uLC/SdAONWNs+fuQE/crxaZ6GWGjtbI5ZC0dY6JgLGZJ0DGdwMDXzd2qRq+KLS++093p6OrFSwStkD34a5royxgGHZBbncgjO5AbyXI9VICQY35aNRGk7DvPhurS1zcZaRkZGRzCA6ijv1iaw+m2frXdSxgDY2HLwSXuLidRJONyTtskd/swdDKbYIpmyNfKYoGASNBPsjcdXtp3HPG65l8MsTI3yRPYyQamOc0gOHeO9UbG94y1jnDIGQCdzyCA6Ft7t0dTUmnhmpG1FFHAZqdjWvikaWlzmtz9F2nB9rO537FmN9sfWOb6re+IA4fMxj5ZMveXB7jvlwLBq5t07c1zBjeNWWO9g4d7J9k+Pcq9VIXBvVv1EagNJyRjOfhugOup7rwwynnmNvGsSMf1UkDHF7Scujac7DAxq5jOQFxyqxrnvaxjS5zjgADJJWX0Op9K9F9Hm9IzjqurOvPP6OMoDCiyspaiWoNPHBK+cEjqmsJdkc9uaoIJS4tETy4ODCA05DjsB5+CAxoiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIDpLHe7ZbrPV2+qpp5PTw9lTIwgaGhv4rA/Kw/2t8cgtGx3GnohXw1DpohWU3UCogGXwnW12QMjIOnSQCDg+4xKIDqLPxHS2glj2PrR6yp6rrJ4snRGHAkDVs72hjdVi4gtbLNcbc+lqHesDLLLLqA0yasw+z2gY3Of9Y7muWRAde3jV8d1tc0QkjpqBsb2kDL+ubA2PVucYBaMAYGNzusdRxBZ6mgZb20c8FC6uhrJomAHJ0PEoG/LLg1vc0b7rlEQHZT8ZU77mbvBTywVz6F9LKx2JGOOoac55t6v2CCOTQoTiC40VxqKR1vglp4IaVsXVSO1aHZc4gHtaC7bO+OaiEQHXXniCy3Dh8U0FPK2tbFTxxySRNcWsjbpLS4knJ7HNAyAAR2jQsF+gs9JLFLTNnc+tppwHx6gGx69WNx7XtDHvUAiA61nElqFHdqR9NUvbdJZ5JZcgFhzqh9n8rS7c7j6R5rHDerZHerZcHTVOIqJtLOwQDLCKcxZadXtDJz2bLlkQEnaqumtXEtBWB8ktNS1UcpcGaXOa1wJw3PPbvU5VcS2+qratoNTDHU2+Oj9JjZhzCxwPss1EhhDQ0jVnt8FyCIDrJuJKKqfW07nVMLKikp6YVwYDM4xYyXjPJ+NwDkaW88FbNPxhQx1N0L4aosrGU0LZxjr2iNhY6bOcCU5z73DPauKRAVOATpOR2HGFREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAVVERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQH/9k=' title='fig:'/><p class='caption'>Intro Fisheries Analysis in R</p>
</article></slide><slide class=''><hgroup><h2>Introductory Fisheries Analyses in R - Derek Ogle</h2></hgroup><article id="introductory-fisheries-analyses-in-r---derek-ogle-1">
<p>Available at: <br> - <a href="https://www.crcpress.com/Introductory-Fisheries-Analyses-with-R/Ogle/p/book/9781482235203"> CRC Press </a> <br> - <a href="https://www.amazon.com/Introductory-Fisheries-Analyses-Chapman-Hall/dp/148223520X/ref=sr_1_1?ie=UTF8&qid=1492481753&sr=8-1&keywords=introductory+fisheries+analyses+with+r"> Amazon </a> <br></p>
<p>Chapter 9: Abundance from Capture-Recapture Data <br> Chapter 10: Abundance from Depletion Data <br></p>
<p>Additional Resources: <br> - <a href="http://derekogle.com/IFAR/"> http://derekogle.com/IFAR/ </a> <br> - <a href="http://derekogle.com/fishR/"> http://derekogle.com/fishR/ </a> <br></p>
</article></slide><slide class=''><hgroup><h2>Outline</h2></hgroup><article id="outline">
<ol>
<li>Summarize capture histories</li>
<li>Simple Petersen mark-recapture</li>
<li>Petersen mark-recap for 'groups' (e.g., by size class)</li>
<li>Schnabel or Schumacher-Eschmeyer mark-recapture</li>
<li>Jolly-Seber mark-recapture</li>
<li>Simple K-pass (e.g., 3-pass) removal estimates</li>
<li>Lots of K-pass removal estimates 'at once'</li>
<li>Depletion (Leslie and DeLury) methods (time permitting)</li>
</ol>
</article></slide><slide class=''><hgroup><h2>Install and Load Packages</h2></hgroup><article id="install-and-load-packages">
<pre class = 'prettyprint lang-r'>install.packages(c('FSA','FSAdata','Rcapture','dplyr')) # Download
library(FSA) # Install/load
library(FSAdata)
library(Rcapture)
library(dplyr)</pre>
<p>Ogle, D.H. 2017. FSA: Fisheries Stock Analysis. R package version 0.8.12. <br></p>
<p>Louis-Paul Rivest and Sophie Baillargeon (2014). Rcapture: Loglinear Models for Capture-Recapture Experiments. R package version 1.4-2. <a href='https://CRAN.R-project.org/package=Rcapture' title=''>https://CRAN.R-project.org/package=Rcapture</a> <br></p>
<p>Hadley Wickham and Romain Francois (2016). dplyr: A Grammar of Data Manipulation. R package version 0.5.0. <a href='https://CRAN.R-project.org/package=dplyr' title=''>https://CRAN.R-project.org/package=dplyr</a> <br></p>
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>ABUNDANCE FROM CAPTURE-RECAPTURE DATA</h2></hgroup><article id="abundance-from-capture-recapture-data">
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>CAPTURE HISTORIES</h2></hgroup><article id="capture-histories">
</article></slide><slide class=''><hgroup><h2>CAPTURE HISTORIES</h2></hgroup><article id="capture-histories-1">
<p>Fish Marking <br></p>
<ol>
<li>Batch mark (e.g., fin clip) - individual fish CANNOT be specifically identified <br></li>
<li>Individual mark (e.g., Floy, CWT, PIT) - individual fish CAN be specifically identified <br></li>
</ol>
<p>For <em>batch marking</em>, the numbers of marked (i.e., previously captured) and unmarked fish in each sample are recorded. For <em>individual marking</em>, specific tag numbers for fish captured in each sampling event are recorded. <br></p>
</article></slide><slide class=''><hgroup><h2>Individual marking</h2></hgroup><article id="individual-marking">
<p>For individually marked fish, capture/recapture information is recorded in <em>capture history</em> format (Pollock et al. 1990) <br></p>
<ul>
<li>"1" = Fish was captured in given sampling event</li>
<li>"0" = Fish was <strong>not</strong> captured in given sampling event</li>
</ul>
<p>Two formats: <br> 1. Individual fish <br> 2. Frequency <br></p>
</article></slide><slide class=''><hgroup><h2>Individual Fish Format</h2></hgroup><article id="individual-fish-format">
<p>Fish 1 was captured (and marked) in the first sample, not captured in the second sample, recaptured in the third sample, and not captured in either the fourth or fifth samples. In contrast, Fish 5 was captured (and marked) only in the fifth sample.</p>
<table class = 'rmdtable'>
<tr class="header">
<th align="center">Fish</th>
<th align="center">Event1</th>
<th align="center">Event2</th>
<th align="center">Event3</th>
<th align="center">Event4</th>
<th align="center">Event5</th>
</tr>
<tr class="odd">
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr class="even">
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr class="odd">
<td align="center">3</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr class="even">
<td align="center">4</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr class="odd">
<td align="center">5</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
</table>
</article></slide><slide class=''><hgroup><h2>Frequency Format</h2></hgroup><article id="frequency-format">
<p>Each row represents a unique capture history with the frequency of fish with that capture history in a unique column. Thus, the number of rows corresponds to the number of unique capture histories and the sum of the frequency column is the total number of fish captured in all sampling events.</p>
<table class = 'rmdtable'>
<tr class="header">
<th align="center">Frequency</th>
<th align="center">Event1</th>
<th align="center">Event2</th>
<th align="center">Event3</th>
<th align="center">Event4</th>
<th align="center">Event5</th>
</tr>
<tr class="odd">
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr class="even">
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr class="odd">
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
</table>
<p>*Same data as previous slide.</p>
</article></slide><slide class=''><hgroup><h2>EXERCISE - Capture Histories</h2></hgroup><article id="exercise---capture-histories">
<p>Zehfuss et al. (1999) captured Gulf Sturgeon from below Jim Woodruff Dam on the Apalachicola River (Florida) on 13 occasions during the summer 1985. Fish >45cm were uniquely tagged. These data (Zehfussetal_1985.txt) were recorded with captures histories in a compact form (stored as one variable).</p>
<pre class = 'prettyprint lang-r'>gs.M <- read.table('data/Zehfussetal_1985.txt', header = TRUE,
colClasses = c('character', 'character'))
headtail(gs.M) </pre>
<pre >## ch freq
## 1 0000001010001 1
## 2 0100000000000 1
## 3 0011000000000 1
## 74 0000000000001 1
## 75 0000000000001 1
## 76 0000100101010 1</pre>
</article></slide><slide class=''><hgroup><h2><code>capHistConvert()</code></h2></hgroup><article id="caphistconvert">
<p><code>capHistConvert()</code>: Function in FSA package to convert between several simple capture history formats.</p>
<pre class = 'prettyprint lang-r'># Access Full Help Documentation
?capHistConvert</pre>
<pre class = 'prettyprint lang-r'>gs.I <- capHistConvert(df = gs.M, in.type = 'MARK', freq = 'freq',
out.type = 'individual', include.id = TRUE,
var.lbls.pre = 'e')</pre>
</article></slide><slide class=''><hgroup><h2>MARK -> Individual Fish Format</h2></hgroup><article id="mark---individual-fish-format">
<pre class = 'prettyprint lang-r'>gs.I <- capHistConvert(df = gs.M, in.type = 'MARK', freq = 'freq',
out.type = 'individual', include.id = TRUE,
var.lbls.pre = 'e')</pre>
<p>Arguments: <br> - <code>df</code>: The source data.frame in a supported format <br> - <code>in.type</code>: Format of the source data <br> - <code>out.type</code>: Desired format to be returned <br> - <code>freq</code>: Depending on format of <code>in.type</code>, name of variable containing frequencies <br> - <code>include.id</code>: Include fish identifiers in the resultant df? <br> - <code>var.lbls.pre</code>: Prefix for variable labels <br></p>
</article></slide><slide class=''><hgroup><h2>Individual Fish Format</h2></hgroup><article id="individual-fish-format-1">
<pre class = 'prettyprint lang-r'>gs.I <- capHistConvert(df = gs.M, in.type = 'MARK', freq = 'freq',
out.type = 'individual', include.id = TRUE,
var.lbls.pre = 'e')</pre>
<pre class = 'prettyprint lang-r'>headtail(gs.I)</pre>
<pre >## id e1 e2 e3 e4 e5 e6 e7 e8 e9 e10 e11 e12 e13
## 1 1 0 0 0 0 0 0 1 0 1 0 0 0 1
## 2 2 0 1 0 0 0 0 0 0 0 0 0 0 0
## 3 3 0 0 1 1 0 0 0 0 0 0 0 0 0
## 74 74 0 0 0 0 0 0 0 0 0 0 0 0 1
## 75 75 0 0 0 0 0 0 0 0 0 0 0 0 1
## 76 76 0 0 0 0 1 0 0 1 0 1 0 1 0</pre>
</article></slide><slide class=''><hgroup><h2>Summarize CH Data</h2></hgroup><article id="summarize-ch-data">
<p>Capture history data must be summarized to estimate population parameters with capture-recapture methods. <br></p>
<p><code>capHistSum()</code>: FSA function to generate several useful CH summaries.</p>
<pre class = 'prettyprint lang-r'>gs.ch <- capHistSum(gs.I, cols2use = -1)</pre>
<pre class = 'prettyprint lang-r'>gs.ch <- capHistSum(gs.I, cols2use = 2:14)</pre>
<p>Arguments: <br> - <code>df</code>: data.frame of ONLY the ch data in individual fish format <br> - <code>cols2use</code>: Which columns represent ch data? <br></p>
</article></slide><slide class=''><hgroup><h2>Summarize CH Data</h2></hgroup><article id="summarize-ch-data-1">
<pre class = 'prettyprint lang-r'>gs.ch$caphist[1:10] # Only first 10 displayed</pre>
<pre >##
## 0000000000001 0000000000010 0000000000100 0000000001000 0000000001100
## 3 8 2 2 2
## 0000000010001 0000000011000 0000000100000 0000000100001 0000001000000
## 1 1 6 1 3</pre>
<p>Eight fish have the '0000000000010' capture history. <br></p>
<p>The remaining four objects in the <code>capHistSum()</code> object <code>$sum</code>, <code>$methodB.top</code>, <code>$methodB.bot</code>, and <code>$m.array</code> are specific to methods and will be discussed later. <br></p>
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>SIMPLE PETERSEN MARK-RECAPTURE</h2></hgroup><article id="simple-petersen-mark-recapture">
</article></slide><slide class=''><hgroup><h2>Simple Peterson (Closed Population, Single Recapture)</h2></hgroup><article id="simple-peterson-closed-population-single-recapture">
<p>Under strict assumption, the ratio of \({M}\) to total population size \({N}\) is equal to the ratio of \({m}\) to \({n}\). The equality of ratios is algebraically solved for \({N}\) to produce the well-known Petersen equation. The simple Peterson equation is biased for small samples. However, Chapman (1951) showed \[
\hat{N} = \frac{(M + 1) (n + 1)}{(m + 1)} - 1
\] is an unbiased estimator of \({N}\) when \({(M+n)}\) is \({>=}\) \({N}\), or is nearly unbiased when \({m}\) is \({>}\) 7 (Krebs 1999).</p>
</article></slide><slide class=''><hgroup><h2>Simple Petersen</h2></hgroup><article id="simple-petersen">
<p>\[
\hat{N} = \frac{(M + 1) (n + 1)}{(m + 1)} - 1 \tag{9.1}
\] \(\hat{N}\) = Population Size Estimate <br> \({M}\) = Number of Fish Marked and Returned in Initial Event <br> \({n}\) = Number of Fish Collected in Recapture Event <br> \({m}\) = Number of \({n}\) that are Marked <br></p>
<p>Closed Population, Single Recapture</p>
</article></slide><slide class=''><hgroup><h2>Simple Petersen - Confidence Intervals</h2></hgroup><article id="simple-petersen---confidence-intervals">
<p>In most situations, confidence intervals for \({N}\) can be constructed from hypergeometric distribution. However, confidence intervals for \({N}\) can be approximated from other distributions depending on the data (Seber 2002). <br></p>
<ul>
<li>Binomial Distribution: If more than 10% of fish in the second sample are recaptured (i.e., \(\frac{m}{n}\) > 0.10) <br></li>
<li>Poisson Distribution: If \({m}\) < 50 <br></li>
<li>Normal Distribution: If \({m}\) > 50 <br></li>
</ul>
</article></slide><slide class=''><hgroup><h2><code>mrClosed()</code></h2></hgroup><article id="mrclosed">
<p>Petersen and related modification to estimate \({N}\) are conducted using the <code>mrClosed()</code> function in FSA package. <br></p>
<p><code>mrClosed()</code> requires \({M}\), \({n}\), and \({m}\) as first three arguments (in that order). <br></p>
<p>Default estimator is original Petersen estimator, but the Chapman modification is used by including <code>method = 'Chapman'</code>. <br></p>
<p>\(\hat{N}\) is extracted from <code>mrClosed()</code> object with <code>summary()</code>. An estimated standard error (SE) for \(\hat{N}\) is provided by including <code>incl.SE = TRUE</code> in <code>summary()</code>.</p>
</article></slide><slide class=''><hgroup><h2><code>mrClosed()</code> Confidence Intervals</h2></hgroup><article id="mrclosed-confidence-intervals">
<p>A CI for \(\hat{N}\) is extracted from <code>mrClosed()</code> object using <code>confint()</code>. By default, the distribution used to construct the Ci follows Seber's guidelines described previously. <br></p>
<p>However, a specific distribution may be selected by setting <code>type =</code> as <code>'hypergeometric'</code>, <code>'binomial'</code>, <code>'Poisson'</code>, or <code>'normal'</code>. <br></p>
<p>Which distribution was used is not displayed unless <code>verbose = TRUE</code> is included in <code>confint()</code></p>
</article></slide><slide class=''><hgroup><h2>EXAMPLE 1 - Petersen Estimate</h2></hgroup><article id="example-1---petersen-estimate">
<p>Wisconsin DNR biologists marked 2555 walleye >304 mm from Sand Lake one night. They returned the following night and captured 274 walleye >304 mm. Of those, 92 were recaptured from the previous night's efforts.</p>
<pre class = 'prettyprint lang-r'>sl1 <- mrClosed(M = 2555, n = 274, m = 92, method = 'Chapman')
summary(sl1, incl.SE = TRUE)</pre>
<pre >## N SE
## [1,] 7557 622.5</pre>
<pre class = 'prettyprint lang-r'>confint(sl1, verbose = TRUE)</pre>
<pre >## The binomial (wilson method) distribution was used.</pre>
<pre >## 95% LCI 95% UCI
## [1,] 6454 8973</pre>
</article></slide><slide class=''><hgroup><h2>EXAMPLE 2 - Petersen Estimate</h2></hgroup><article id="example-2---petersen-estimate">
<p>If capture histories (rather than summarized counts) are recorded for two events, then they can be summarized with <code>capHistSum()</code>. The resulting object can then be submitted as the first argument to <code>mrClosed()</code> which will automatically extract the values for \({M}\), \({n}\), and \({m}\). <br></p>
<p>Using just the 5th and 6th sample event for Gulf Sturgeon example.</p>
<pre class = 'prettyprint lang-r'>gs.ch56 <- capHistSum(gs.I, cols2use = 5:6)
gs.mr56 <- mrClosed(gs.ch56, method = 'Chapman')
cbind(summary(gs.mr56, incl.SE=TRUE), confint(gs.mr56))</pre>
<pre >## N SE 95% LCI 95% UCI
## [1,] 74 33.9 22 145</pre>
</article></slide><slide class=''><hgroup><h2>Ugly River Brown Trout</h2></hgroup><article id="ugly-river-brown-trout">
<p>Young and Hayes (2001) described a study where Brown Trout (Salmo trutta) in several rivers were captured by experienced fly fishers, tagged at the base of the dorsal fin with a colored dart tag, and then observed by divers drifting through the sample area two days later. In this study, 43 trout were marked, 123 fish were observed by the divers, and 16 fish observed by the divers were tagged. <br></p>
<ol>
<li>Assign one of these symbols (\({N, M, n, m}\)) to each of the numerical results from this study. <br></li>
<li>Construct a population estimate, with 95% confidence interval, for the Brown Trout in this section of the Ugly River. Carefully interpret the results. <br></li>
<li>Which method did you use to construct the confidence interval? Explain why you chose that method? <br></li>
</ol>
</article></slide><slide class=''><hgroup><h2>Niagara Springs Rainbow Trout</h2></hgroup><article id="niagara-springs-rainbow-trout">
<p>Warren et al. (2004) examined the population of Rainbow Trout (Oncorhynchus mykiss) in the Upper Niagara Springs Pond in 2000. Fish were captured at two times by using an electrofishing unit attached to a driftboat. The capture history of all fish examined in the two samples that were 100 mm and longer is in <code>RBTroutUNSP</code> in the <code>FSAdata</code> package. Analyze these capture histories to answer the following questions. <br></p>
<ol>
<li>Create a summary of the capture histories. <br></li>
<li>From your capture history summary assign values to each of \({M, n, m}\). <br></li>
<li>Construct an appropriate population estimate, with 95% confidence interval, for Upper Niagra Springs Pond Rainbow Trout in 2000. Carefully interpret the results. <br></li>
<li>Which method did you use to construct the confidence interval? Explain why you chose that method. <br></li>
</ol>
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>PETERSEN MARK-RECAP FOR GROUPS</h2></hgroup><article id="petersen-mark-recap-for-groups">
</article></slide><slide class=''><hgroup><h2>Separate Groups</h2></hgroup><article id="separate-groups">
<p>Fish may be separated into groups to control for different catchabilities among groups (Pine et al. 2003) or to provide more detailed results. <br></p>
<p>To do this, the \({M, n, m}\) values for each group are entered into separate vectors, which are then the first three arguments of <code>mrClosed()</code>. <br></p>
<p>A vector of labels for each group may be given to <code>labels =</code>. <br></p>
<p>In addition to providing an abundance estimate for each group, separate estimates are also combined to provide an estimate of total abundance. <br></p>
</article></slide><slide class=''><hgroup><h2>EXAMPLE - Separate Groups</h2></hgroup><article id="example---separate-groups">
<p>Sand Lake walleye longer than 304 mm were separated into two groups: <br> - < 381 mm <br> - > 381 mm <br></p>
<pre class = 'prettyprint lang-r'>group <- c('305-380', '381+')
M <- c(1929, 626)
n <- c( 222, 52)
m <- c( 77, 15)
sl2 <- mrClosed(M, n, m, label = group, method = 'Chapman')
cbind(summary(sl2, incl.SE = TRUE), confint(sl2, incl.all = TRUE))</pre>
<pre >## N SE 95% LCI 95% UCI
## 305-380 5517 490.4 4656 6649
## 381+ 2076 415.5 1439 3211
## All 7593 642.8 6333 8853</pre>
</article></slide><slide class=''><hgroup><h2>ASSUMPTIONS</h2></hgroup><article id="assumptions">
<p>Valid application of the Petersen and related modifications depends on five assumptions being reasonably met (Seber 2002; Hayes et al. 2007; Pine et al. 2012): <br></p>
<ol>
<li>The population is physically (i.e., no immigration or emigration) and demographically (i.e., no recruitment or mortality) closed.</li>
<li>Marks or tags are neight lost nor missed.</li>
<li>Marked fish returned to the population mix randomly with unmarked fish.</li>
<li>All fish within a sample have an equal probability of capture.</li>
<li>Fish behavior or vulnerability does not change after being marked.</li>
</ol>
</article></slide><slide class=''><hgroup><h2>ASSUMPTIONS</h2></hgroup><article id="assumptions-1">
<ul>
<li>Folks attempt to meet first assumption with very short period between the first and second samples. <br></li>
<li>Seber (2002) outlined chi-square test to detect recruitment between two samples (requires length categories be recorded). <br></li>
<li>Tag loss assessed by double-tagging fish with observed proportional tag loss used to adjust final abundance estimate (Pine et al. 2003). <br></li>
</ul>
</article></slide><slide class=''><hgroup><h2>ASSUMPTIONS (CONT.)</h2></hgroup><article id="assumptions-cont.">
<ul>
<li>Equal probability of capture is difficult to ensure because of selectivity of most fishing gears. Assumption may be grossly met by using several different gears to capture fish or stratifying by length (or other grouping) shown previously (Pine et al. 2003). <br></li>
<li>Differential capture probability over time, due to behavioral changes in/among fish can be assessed with more than one recapture event and using more sophisticated models (see Log-Linear Model Methods; Chapter 9).</li>
</ul>
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>Closed Population - Multiple Recaptures</h2></hgroup><article id="closed-population---multiple-recaptures">
</article></slide><slide class=''><hgroup><h2>Multiple recapture events</h2></hgroup><article id="multiple-recapture-events">
<ul>
<li>All newly and previously marked fish are returned to population before next sampling event</li>
</ul>
<p>For sample event \(i\):</p>
<ul>
<li>\(n_i\): number of captured fish</li>
<li>\(m_i\): previously marked fish</li>
<li>\(R_i\): marked fish returned to population</li>
<li>\(M_i\): all marked fish existing in population prior to sampling event \(i\)</li>
</ul>
<p>\[
M_i = \sum^{i-1}_{j = 1} (R_j - m_j)
\]</p>
</article></slide><slide class=''><hgroup><h2>Shnabel Estimator</h2></hgroup><article id="shnabel-estimator">
<p>\[
\hat{N} = \frac{\sum^{k}_{i = 1} n_iM_i}{\left( \sum^k_{i=1} m_i \right) + 1} \tag{9.2}
\] - Weighted average of Petersen estimates at each recapture event</p>
</article></slide><slide class=''><hgroup><h2>Schumacher-Eschmeyer</h2></hgroup><article id="schumacher-eschmeyer">
<p>\[
\hat{N} = \frac{\sum^{k}_{i = 1} n_iM_i^2}{ \sum^k_{i=1} m_iM_i} \tag{9.3}
\] - Based on based on minimizing the weighted sum-of-squares between the proportion of marked animals in a sample (i.e., $ ) and the unknown proportion of marked animals in the population.</p>
</article></slide><slide class=''><hgroup><h2>Example - Gulf Sturgeon</h2></hgroup><article id="example---gulf-sturgeon">
<pre class = 'prettyprint lang-r'>headtail(gs.ch$sum) # only first & last 3 rows (events) shown</pre>
<pre >## n m R M u v f
## 1 4 0 4 0 4 0 44
## 2 9 1 9 4 9 4 21
## 3 4 1 4 12 3 2 7
## 11 6 4 6 63 2 5 0
## 12 11 3 11 65 8 11 0
## 13 12 9 0 73 3 12 0</pre>
</article></slide><slide class=''><hgroup><h2>Example - Gulf Sturgeon</h2></hgroup><article id="example---gulf-sturgeon-1">
<pre class = 'prettyprint lang-r'>gs.mr1 <- mrClosed(gs.ch, method = "Schnabel")
cbind(summary(gs.mr1), confint(gs.mr1, verbose=TRUE))</pre>
<pre >## The Poisson distribution was used</pre>
<pre >## N 95% LCI 95% UCI
## 103 78 139</pre>
<pre class = 'prettyprint lang-r'>gs.mr1 <- mrClosed(gs.ch, method = "SchumacherEschmeyer")
cbind(summary(gs.mr1), confint(gs.mr1, verbose=TRUE))</pre>
<pre >## The normal distribution was used.</pre>
<pre >## N 95% LCI 95% UCI
## [1,] 109 85 153</pre>
</article></slide><slide class=''><hgroup><h2>Multiple recapture assumptions</h2></hgroup><article id="multiple-recapture-assumptions">
<p>Same as single recapture assumptions:</p>
<ol>
<li>The population is physically (i.e., no immigration or emigration) and demographically (i.e., no recruitment or mortality) closed.</li>
<li>Marks or tags are neight lost nor missed.</li>
<li>Marked fish returned to the population mix randomly with unmarked fish.</li>
<li>All fish within a sample have an equal probability of capture.</li>
<li>Fish behavior or vulnerability does not change after being marked.</li>
</ol>
</article></slide><slide class=''><hgroup><h2>EXERCISE - Tan Riffleshell</h2></hgroup><article id="exercise---tan-riffleshell" class="smaller">
<p><a href='./lit/Rogers%201999.pdf' title=''>Rogers (1999)</a> studied the endangered freshwater mussel Tan Riffleshell (\(Epioblasma\) \(florentina\) \(walkeri\)) in Indian Creek, Virginia. Part of the study included a detailed analysis of the population dynamics of mussels in a 100 m stretch of stream. In this stream, mussels were captured by teams on snorkelers on six occassions (June 1996; August 1996; June 1997; October 1998; May 1999; and June 1999). Mussels were tagged by attaching a numbered tag to the left valve of the mussel. The number of mussels captured, the number of marked mussels observed, and the number of tagged mussels returned to the population were recorded for each sample time. These data are in <code>Riffleshell</code> in the <code>FSAdata</code> package. Use this information to answer the following questions.</p>
<ol>
<li>Estimate the number, with 95% confidence interval, of Tan Riffleshell mussels in the population at the beginning of the study. Carefully interpret the result.</li>
<li>Comment on the validity of the assumptions for the model you used to estimate the size of the population.</li>
</ol>
</article></slide><slide class=''><hgroup><h2>EXERCISE - Wisconsin YOY Walleye</h2></hgroup><article id="exercise---wisconsin-yoy-walleye" class="smaller">
<p>Mraz (1968) examined the population dynamics of young-of-the-year (YOY) walleye (\(Sander\) \(vitreus\)) in Pine Lake, an inland lake in Wisconsin. In fall 1962, YOY walleye were captured, marked, and returned to the lake on five sampling dates. On each date, the number of fish caught, the number of caught fish that were previously marked, and the number of marked fish returned to the lake were recorded. The results from these sampling efforts are generated by the following data.frame</p>
<pre class = 'prettyprint lang-r'>walleye <- data.frame(sample = c(1,2,3,4,5),
caught = c(321,412,178,415,367),
recaptured = c(NA,45,55,93,113),
returned = c(321,412,178,415,NA))</pre>
<ol>
<li>Estimate the initial population size, with 95% confidence interval, of YOY Walleye in Pine Lake. Carefully interpret the result.</li>
<li>Comment on the validity of the assumptions for the model you used to estimate the size of the population.</li>
</ol>
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>JOLLY-SEBER MARK-RECAPTURE</h2></hgroup><article id="jolly-seber-mark-recapture">
</article></slide><slide class=''><hgroup><h2>Jolly-Seber (Open Populations)</h2></hgroup><article id="jolly-seber-open-populations">
<p>Methods described previously only applicable to closed populations (recruitment, mortality, immigration, emigration).</p>
<p>Assumption usually maintained by having sampling events with little time between them.</p>
<p>However, many realistic situations occur with samples that span periods of time where assumption of closed population is not reasonable assured.</p>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber (Open Populations)</h2></hgroup><article id="jolly-seber-open-populations-1">
<p>Jolly-Seber method (Jolly 1965; Seber 1965) is used to estimate abundance at the time of sample event \({i}\) (\({N_i}\)) when three or more samples of marked fish have been collected from an open population.</p>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - sampling</h2></hgroup><article id="jolly-seber---sampling">
<p>Sampling scheme for Jolly-Seber study is similar to that described for Schnabel and Schumacher-Eschmeyer methods.</p>
<p>Multiple sampling events are used and previously unmarked fish are marked and returned to the population.</p>
<p>However, fish are usually individually marked because Jolly-Seber calculations are based on knowing in which sampling event a fish was caught and whether it was caught in subsequent sampling events.</p>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Cutthroat Example</h2></hgroup><article id="jolly-seber---cutthroat-example">
<p>Harding et al. (2010) captured cutthroat trout from Auke Lake (Alaska) during the summers of 1998-2006. All cutthroat >180 were given a PIT tag. Sampling occurred on multiple days within each year, but each year was considered a single sampling event. Individual fish capture histories, along with a unique ID in the first column, are recorded in <code>CutthroatAL.csv</code></p>
<pre class = 'prettyprint lang-r'>cutty <- read.csv('data/CutthroatAL.csv')
headtail(cutty, n = 2) </pre>
<pre >## id y1998 y1999 y2000 y2001 y2002 y2003 y2004 y2005 y2006
## 1 1 0 0 0 0 0 0 0 0 1
## 2 2 0 0 0 0 0 0 0 0 1
## 1683 1683 1 1 1 0 0 0 0 0 0
## 1684 1684 1 1 1 0 0 0 0 0 0</pre>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Capture History</h2></hgroup><article id="jolly-seber---capture-history">
<p>For Jolly-Seber studies, capture history data are summarized in a \({Method}\) \({B}\) \({table}\) (Leslie and Chitty 1951). The \({Method}\) \({B}\) \({table}\) has two parts:</p>
<ul>
<li>\({top}\) \({of}\) \({Method}\) \({B}\) \({table}\)</li>
<li>\({bottom}\) \({of}\) \({Method}\) \({B}\) \({table}\)</li>
</ul>
</article></slide><slide class=''><hgroup><h2>\({top}\) \({of}\) \({Method}\) \({B}\) \({table}\)</h2></hgroup><article id="top-of-method-b-table">
<p>A contingency table of the frequency of marked fish in sample \({i}\) that were last caught in previous sample \({j}\) (\({m_{ji}}\)). For example, \({m_{38}}\) shows that two fish captured in the eighth sample were last caught in the third sample.</p>
<p>All cells for which \({j \ge i}\) are 'missing' (i.e., <code>NA</code>) because those observations are physically impossible.</p>
</article></slide><slide class=''><hgroup><h2>\({top}\) \({of}\) \({Method}\) \({B}\) \({table}\)</h2></hgroup><article id="top-of-method-b-table-1">
<pre class = 'prettyprint lang-r'>cut.ch <- capHistSum(cutty, cols2use = -1)
cut.ch$methodB.top</pre>
<pre >## i=1 i=2 i=3 i=4 i=5 i=6 i=7 i=8 i=9
## j=1 NA 22 4 0 0 0 0 0 0
## j=2 NA NA 90 4 2 0 0 0 0
## j=3 NA NA NA 37 13 1 0 0 0
## j=4 NA NA NA NA 43 2 1 0 0
## j=5 NA NA NA NA NA 96 2 2 0
## j=6 NA NA NA NA NA NA 88 10 1
## j=7 NA NA NA NA NA NA NA 40 4
## j=8 NA NA NA NA NA NA NA NA 13
## j=9 NA NA NA NA NA NA NA NA NA</pre>
</article></slide><slide class=''><hgroup><h2>\({top}\) \({of}\) \({Method}\) \({B}\) \({table}\)</h2></hgroup><article id="top-of-method-b-table-2">
<pre >## i=1 i=2 i=3 i=4 i=5 i=6 i=7 i=8 i=9
## j=1 NA 22 4 0 0 0 0 0 0
## j=2 NA NA 90 4 2 0 0 0 0
## j=3 NA NA NA 37 13 1 0 0 0
## j=4 NA NA NA NA 43 2 1 0 0
## j=5 NA NA NA NA NA 96 2 2 0
## j=6 NA NA NA NA NA NA 88 10 1
## j=7 NA NA NA NA NA NA NA 40 4
## j=8 NA NA NA NA NA NA NA NA 13
## j=9 NA NA NA NA NA NA NA NA NA</pre>
<p>EXAMPLE: Of all previously marked fish captured during sampling event \({i=8}\) (\({m=52}\)): <br> - 40 were last caught in event \({j=7}\), <br> - 10 were last caught in event \({j=6}\), and <br> - 2 were last caught in event \({j=5}\). <br></p>
</article></slide><slide class=''><hgroup><h2>\({bottom}\) \({of}\) \({Method}\) \({B}\) \({table}\)</h2></hgroup><article id="bottom-of-method-b-table">
<p>for each of \({i}\) sampling events, contains the numbers of: <br> - recaptured marked fish (\({m_i}\)) <br> - unmarked fish (\({u_i}\)) <br> - total fish (\({n_i}\)) <br> - total marked fish returned to the population (\({R_i}\))</p>
<pre class = 'prettyprint lang-r'>cut.ch$methodB.bot</pre>
<pre >## i=1 i=2 i=3 i=4 i=5 i=6 i=7 i=8 i=9
## m 0 22 94 41 58 99 91 52 18
## u 89 330 198 192 201 271 199 82 122
## n 89 352 292 233 259 370 290 134 140
## R 89 352 292 233 259 370 290 134 0</pre>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Cutthroat Example</h2></hgroup><article id="jolly-seber---cutthroat-example-1">
<p>Calculations for the Jolly-Seber method are performed by submitting <code>capHistSum()</code> object to <code>mrOpen()</code> function from <code>FSA</code> package.</p>
<p>The \(\hat{M_i}\) and \(\hat{N_i}\), and their standard errors, are extracted from the <code>mrOpen()</code> object with <code>summary()</code> using <code>parm = c('M','N')</code>.</p>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Cutthroat Example</h2></hgroup><article id="jolly-seber---cutthroat-example-2">
<pre class = 'prettyprint lang-r'>cut.mr <- mrOpen(cut.ch)
summary(cut.mr, parm = c('M','N'))</pre>
<pre >## M M.se N N.se
## i=1 NA NA NA NA
## i=2 36.6 6.4 561.1 117.9
## i=3 127.8 13.4 394.2 44.2
## i=4 120.7 20.8 672.2 138.8
## i=5 68.3 4.1 301.0 21.8
## i=6 117.5 7.3 436.1 30.3
## i=7 175.1 24.6 553.7 84.3
## i=8 100.2 24.7 255.3 65.4
## i=9 NA NA NA NA</pre>
<p>Intermediate values used to compute estimates can be extracted with <code>verbose = TRUE</code> (not shown).</p>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Cutthroat Example</h2></hgroup><article id="jolly-seber---cutthroat-example-3">
<p>Note that estimates of \({N_1}\) and \({N_k}\), where \({k}\) is the number of sampling events, cannot be estimated.</p>
<pre >## M M.se N N.se
## i=1 NA NA NA NA
## i=2 36.6 6.4 561.1 117.9
## i=3 127.8 13.4 394.2 44.2
## i=4 120.7 20.8 672.2 138.8
## i=5 68.3 4.1 301.0 21.8
## i=6 117.5 7.3 436.1 30.3
## i=7 175.1 24.6 553.7 84.3
## i=8 100.2 24.7 255.3 65.4
## i=9 NA NA NA NA</pre>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Cutthroat Example</h2></hgroup><article id="jolly-seber---cutthroat-example-4">
<p>Confidence intervals for \({N_i}\), computed using asypmtotic large-sample theory (i.e., assuming a normal distribution; Jolly 1965), are extracted from the <code>mrOpen()</code> object with <code>confint()</code> using <code>parm = 'N'</code>.</p>
<pre class = 'prettyprint lang-r'>confint(cut.mr, parm = 'N')</pre>
<pre >## N.lci N.uci
## i=1 NA NA
## i=2 330.0 792.1
## i=3 307.6 480.8
## i=4 400.2 944.2
## i=5 258.3 343.6
## i=6 376.7 495.5
## i=7 388.4 719.1
## i=8 127.2 383.4
## i=9 NA NA</pre>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Cutthroat Example</h2></hgroup><article id="jolly-seber---cutthroat-example-5">
<p>Combine the point estimates and confidence intervals.</p>
<pre class = 'prettyprint lang-r'>cut.results <- cbind(summary(cut.mr, parm = c('M','N')),
confint(cut.mr, parm = 'N'))
cut.results</pre>
<pre >## M M.se N N.se N.lci N.uci
## i=1 NA NA NA NA NA NA
## i=2 36.6 6.4 561.1 117.9 330.0 792.1
## i=3 127.8 13.4 394.2 44.2 307.6 480.8
## i=4 120.7 20.8 672.2 138.8 400.2 944.2
## i=5 68.3 4.1 301.0 21.8 258.3 343.6
## i=6 117.5 7.3 436.1 30.3 376.7 495.5
## i=7 175.1 24.6 553.7 84.3 388.4 719.1
## i=8 100.2 24.7 255.3 65.4 127.2 383.4
## i=9 NA NA NA NA NA NA</pre>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Cutthroat Example</h2></hgroup><article id="jolly-seber---cutthroat-example-6">
<p>Thus, for 2003 (i.e., \({i=6}\)), the estimated abundance of Auke Lake cutthroat trout > 180 mm was 436 (95% CI: 377, 469).</p>
<pre >## M M.se N N.se N.lci N.uci
## i=1 NA NA NA NA NA NA
## i=2 36.6 6.4 561.1 117.9 330.0 792.1
## i=3 127.8 13.4 394.2 44.2 307.6 480.8
## i=4 120.7 20.8 672.2 138.8 400.2 944.2
## i=5 68.3 4.1 301.0 21.8 258.3 343.6
## i=6 117.5 7.3 436.1 30.3 376.7 495.5
## i=7 175.1 24.6 553.7 84.3 388.4 719.1
## i=8 100.2 24.7 255.3 65.4 127.2 383.4
## i=9 NA NA NA NA NA NA</pre>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber</h2></hgroup><article id="jolly-seber">
<p>Derivations of maximum likelihood estimates for the number of marked fish extant in the population just prior to sample \({i}\) (i.e., \({M_i}\)) and \({N_i}\), and their standard errors are not trivial. For more information, please see:</p>
<p>Krebs, C.J. 1999. Ecological Methodology. Addison-Welsey Educational Publishing, Menlo Park, CA, second edition.</p>
<p>Pollock, K.H., J.D. Nichols, C. Brownie, and J.E. Hines. 1990. Statistical inference for capture-recapture experiments. Wildlife monographs. 107:1-97.</p>
</article></slide><slide class=''><hgroup><h2>Jolly-Seber - Assumptions</h2></hgroup><article id="jolly-seber---assumptions">
<p>The Jolly-Seber method assumes the following (Krebs 1999; Seber 2002):</p>
<ol>
<li>Marks or tags are neither lost nor missed. <br></li>
<li>All fish within a sample have an equal probability of capture. <br></li>
<li>Every marked individual has the same probability of surviving from sample \({i}\) to sample (\({i+1}\)). If survival rates are to apply to all, rather than just marked individuals, then it is also assumed that the probability of survival is the same for both marked and unmarked fish. <br></li>
<li>Sampling time is negligible in relation to intervals between samples.</li>
</ol>
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>ABUNDANCE FROM DEPLETION DATA</h2></hgroup><article id="abundance-from-depletion-data">
</article></slide><slide class='segue dark nobackground level1'><hgroup class = 'auto-fadein'><h2>K-PASS REMOVAL ESTIMATES</h2></hgroup><article id="k-pass-removal-estimates">
</article></slide><slide class=''><hgroup><h2>K-Pass Removal - Equal Catchability</h2></hgroup><article id="k-pass-removal---equal-catchability">
<p>In the \({k-pass}\) \({removal}\) method, population abundance is estimated for a closed population by sampling the population \({k}\) times with the same amount of effort.</p>
<p>On each sampling 'pass', the number of individuals captured (\({C_i}\)) is recorded and the individuals are physically removed from the population.</p>
<p>If the probability of capture (\({p}\)) is constant for all fish across all samples, then an estimate of initial abundance is the smallest \({N_0\ge T}\) that solves</p>
<p>\[
\frac{N_0+1}{N_0-T+1} \prod^k_{i=1} \frac{kN_0-X-T+\beta+k-i}{kN_0-X+\alpha+\beta+k-i} {\le1} \tag{10.3}
\]</p>
</article></slide><slide class=''><hgroup><h2>K-Pass Removal - Equal Catchability</h2></hgroup><article id="k-pass-removal---equal-catchability-1">
<p>\[
\frac{N_0+1}{N_0-T+1} \prod^k_{i=1} \frac{kN_0-X-T+\beta+k-i}{kN_0-X+\alpha+\beta+k-i} {\le1} \tag{10.3}
\] where: <br></p>
<p>\({T=} \sum^k_{i=1}{C_i}\) is the total number of individuals captured in all removal events,</p>
<p>\({X=} \sum^k_{i=1}{(k-i)C_i}\), and</p>
<p>\({\alpha}\) and \({\beta}\) are parameters from a beta distribution that forms a prior distribution for the capture probability (Carle and Strub 1978).</p>
</article></slide><slide class=''><hgroup><h2>K-Pass Removal - Equal Catchability</h2></hgroup><article id="k-pass-removal---equal-catchability-2">
<p>\(\hat{N_0}\) is found by iteratively solving for</p>
<p>\[
\frac{N_0+1}{N_0-T+1} \prod^k_{i=1} \frac{kN_0-X-T+\beta+k-i}{kN_0-X+\alpha+\beta+k-i} {\le1} \tag{10.3}
\]</p>
<p>Once \(\hat{N_0}\) has been found, then:</p>
<p>\(\hat{p}= \frac{T}{kN_0-X}\)</p>
<p>Zippin (1956, 1958) provides equations for standard errors of \({N_0}\) and \({p}\).</p>
</article></slide><slide class=''><hgroup><h2>WF Hood River Rainbow Trout</h2></hgroup><article id="wf-hood-river-rainbow-trout">
<p>Scientists with the Bonneville Power Administration conducted a three-pass removal of Rainbow Trout in various stretches of the WF Hood River, OR in September 1994 as part of an EIS prior to construction of Pelten Ladder on the Hood River (Olsen et al. 1995). Several sections of streams were blocked off by 3 mm mesh netting (effectively closing the population) and three electrofishing passes were made through each stretch.</p>
<p>The number of Rainbow Trout in two size groups was recorded for each section. In the Lake Branch section, 187, 77, and 35 Rainbow Trout less than 85 mm were removed in the three passes. The three catches are entered into a vector</p>
<pre class = 'prettyprint lang-r'>ct <- c(187,77,35)</pre>
</article></slide><slide class=''><hgroup><h2>WF Hood River Rainbow Trout</h2></hgroup><article id="wf-hood-river-rainbow-trout-1">
<p>The iterations required to solve for \({N_0}\) are conducted with <code>removal()</code> in the FSA package.</p>
<p>The first (and only required) argument is the vector containing catches from each removal pass (e.g., <code>ct</code>).</p>
<p>The Carle-Strub method is used by default, but other methods may be selected with <code>method=</code>. When <code>method='CarleStrub</code>, values for \({\alpha}\) and \({\beta}\) are included in <code>alpha=</code> and <code>beta=</code>, respectively (both default to 1 which represents a noninformative uniform prior distribution).</p>
</article></slide><slide class=''><hgroup><h2>WF Hood River Rainbow Trout</h2></hgroup><article id="wf-hood-river-rainbow-trout-2">
<p>Values of \(\hat{N_0}\) and \(\hat{p}\) are extracted with <code>summary()</code> and corresponding confidence intervals are constructed with <code>confint()</code></p>
<pre class = 'prettyprint lang-r'>ct <- c(187,77,35)
pr1 <- removal(ct)
cbind(summary(pr1), confint(pr1))</pre>
<pre >## Estimate Std. Error 95% LCI 95% UCI
## No 323.0000000 8.4158244 306.5052874 339.494713
## p 0.5772201 0.0355731 0.5074982 0.646942</pre>
<p>We estimate 323 (95% CI: 307, 339) Rainbow Trout less than 85 mm in this stretch.</p>
</article></slide><slide class=''><hgroup><h2>Reader Creek Brook Trout</h2></hgroup><article id="reader-creek-brook-trout">
<p>Use of <code>removal()</code> described previously can be tedious is the biologist needs to estimate abundance from several sets of removal data (e.g., multiple sites or sizes of fish).</p>
<p>As an example, catches of brook trout from three passes at each of three stations (MU10, MU13, MU27) of 'reach 3' of Reader Creek, UT in 2004 (Birchell 2007) were entered into a data.frame.</p>
<pre class = 'prettyprint lang-r'>rcbt <- data.frame(sta = c('MU10', 'MU13', 'MU27'),
p1 = c(19,75,20), p2 = c(14,19,11), p3 = c(9,5,3))
rcbt</pre>
<pre >## sta p1 p2 p3
## 1 MU10 19 14 9
## 2 MU13 75 19 5
## 3 MU27 20 11 3</pre>
</article></slide><slide class=''><hgroup><h2>Reader Creek Brook Trout</h2></hgroup><article id="reader-creek-brook-trout-1">
<p>The <code>apply()</code> function (from <code>base</code> R) can be used to apply a function to each row or column of a matrix or data.frame.</p>
<p>In this case, <code>just.ests = TRUE</code> is included as the last argument to <code>apply()</code> to force <code>removal()</code> to return just the parameter estimates, SEs, and confidence interval values.</p>
<pre class = 'prettyprint lang-r'>res <- apply(rcbt[,-1], MARGIN = 1, FUN = removal, just.ests = TRUE)</pre>
</article></slide><slide class=''><hgroup><h2>Reader Creek Brook Trout</h2></hgroup><article id="reader-creek-brook-trout-2">
<pre class = 'prettyprint lang-r'>res <- apply(rcbt[,-1], MARGIN = 1, FUN = removal, just.ests = TRUE)
colnames(res) <- rcbt$sta
res</pre>
<pre >## MU10 MU13 MU27
## No 55.0000000 100.00000000 36.0000000
## No.se 11.7279844 1.47038437 2.5072027
## No.LCI 32.0135730 97.11809959 31.0859731
## No.UCI 77.9864270 102.88190041 40.9140269
## p 0.3716814 0.75572519 0.5964912
## p.se 0.1261397 0.04549002 0.1029528
## p.LCI 0.1244522 0.66656640 0.3947075
## p.UCI 0.6189106 0.84488398 0.7982749</pre>
<p>At station MU10 there appears to be 55 (95% CI: 32, 78) brook trout.</p>
</article></slide><slide class=''><hgroup><h2>K-Pass Removal - Equal Catchability</h2></hgroup><article id="k-pass-removal---equal-catchability-3">
<h3>DISCLAIMER</h3>
<p>Other removal methods have been proposed by Zippin (1956, 1958), Seber (2002) for two and three passes, and Robson and Regier (1968) for two passes. However, Seber (2002) noted that the Carle and Strub (1978) method has a smaller bias and variance, is more robust to assumption violations, and will not mathematically 'fail'. Additionally, the Carle and Strub (1978) method generally provides more accurate estimates of \({N_0}\) and \({p}\) than the other methods (Hedger et al. 2013). While these other methods can be computed using the functions described here, only the Carle and Strub (1978) method is illustrated.</p>
</article></slide><slide class=''><hgroup><h2>K-Pass Removal - Catchability Differs in First Pass</h2></hgroup><article id="k-pass-removal---catchability-differs-in-first-pass">
<p>A common problem with the methods described in the previous section is that the probability of capture is not often constant among all passes.</p>
<p>The most common violation of this assumption is that the probability of capture on the first pass (\({p_1}\)) differs from the probability of capture on all subsequent passes (\({p}\)).</p>
</article></slide><slide class=''><hgroup><h2>Catchability Differs in First Pass</h2></hgroup><article id="catchability-differs-in-first-pass">
<p>Schnute (1983) described two models for removal data and a likelihood ratio test to determine with model best represents the data. The first model was from Moran (1951), where \({p}\) was constant across all removal events. He then described a new model where \({p_1}\) differed from \({p}\).</p>
<p>Both models described by Schnute derive \(\hat{N_0}\) by minimizing, with respect to \({N_0}\), the negative log-likelihood function</p>
<p>\[
{N_0}log{(N_0)} - Tlog(T) - ({N_0-T})log({N_0} - \hat{T}) - log \binom{N_0}{T} \tag{10.5}
\]</p>
<p>where \(\hat{T}\) is the predicted total catch.</p>
</article></slide><slide class=''><hgroup><h2>Model 1 (Moran 1951)</h2></hgroup><article id="model-1-moran-1951">
<p>The two models differ in how predicted catches are computed. The predicted catches for the first model (Moran 1951) are computed as</p>
<p>\[
\hat{C_i}={N_0}\hat{p}(1-\hat{p})^{i-1}
\]</p>
<p>where the predicted probability of capture is from</p>
<p>\[
\hat{p}= \frac{T}{kN_0-X} \tag{10.4}
\] same as before (Carle and Strub 1978).</p>
</article></slide><slide class=''><hgroup><h2>Model 2 (Schnute 1983)</h2></hgroup><article id="model-2-schnute-1983">
<p>For the second model, the predicted catch for the first removal pass is simply \({C_1}\) and the predicted catches for the subsequent passes are</p>
<p>\[
\hat{C_i}={N_0}\hat{p}(1-\hat{p_1})(1-\hat{p})^{i-2}
\]</p>
<p>for \({i=2,...,k}\) where \(\hat{p_1}=\frac{C_1}{N_0}\) and</p>
<p>\[
\hat{p}=\frac{T-C_1}{(k-1)(N_0-C_1)-(X-(k-1)C_1)} \tag{10.6}
\]</p>
</article></slide><slide class=''><hgroup><h2>Catchability Differs in First Pass</h2></hgroup><article id="catchability-differs-in-first-pass-1">
<p>Once \(\hat{N_0}\) is found, \(\hat{p}\) can be found using either equation.</p>
<p>Model 1:</p>
<p>\[
\hat{p}= \frac{T}{kN_0-X} \tag{10.4}
\]</p>
<p>Model 2:</p>
<p>\[
\hat{p}=\frac{T-C_1}{(k-1)(N_0-C_1)-(X-(k-1)C_1)} \tag{10.6}
\]</p>
<p>The \(\hat{p_1}\) for the Schnute method (Model 2) is estimated with \(\frac{C_1}{\hat{N_0}}\).</p>
</article></slide><slide class=''><hgroup><h2>Catchability Differs in First Pass</h2></hgroup><article id="catchability-differs-in-first-pass-2">
<p>Importantly, Schnute (1983) showed that two times the difference in minimum negative log-likelihood values (i.e., plug \(\hat{N_0}\) back into below equation) between these two models follows a chi-square distribution with one degree-of-freedom. This provides a statistical test to determine the most appropriate model for the removal data.</p>
<p>\[
{N_0}log{(N_0)} - Tlog(T) - ({N_0-T})log({N_0} - \hat{T}) - log \binom{N_0}{T} \tag{10.5}
\]</p>
<p>A small p-value favors the Schnute model suggesting that the probability of capture for the first sample is different than the constant probability of capture for all subsequent models.</p>
</article></slide><slide class=''><hgroup><h2>WF Hood River Rainbow Trout</h2></hgroup><article id="wf-hood-river-rainbow-trout-3">