����JFIF�����%%��� }!1AQa"q2���#B��R��$3br� %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz������������������������������������������������������������������������� w!1AQaq"2�B���� #3R�br� $4�%�&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz��������������������������������������������������������������������������?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|��O�������h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@��o�E��/�?��ߵE_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ ?�z�����������goڢ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?��=[�Qg�����o����Q@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y�����[����TP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,���|-��v��(���� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�������;~��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@�������?�_�����j������ (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@��o�E��/�?��ߵE_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ ?�z�����������goڢ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?��=[�Qg�����o����Q@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y�����[����TP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,���|-��v��(���� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�������;~��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@�������?�_�����j������ (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@��o�E��/�?��ߵE_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ ?�z�����������goڢ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?��=[�Qg�����o����Q@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y�����[����TP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,��������ο�O�P��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@����(���g���Y������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���V��Y|����Y����UP��@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P����,�����,��u������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j���h�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� �@���o�E��?�?����ο�U_�P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@ _�z�����������g_ڪ�?��(�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (��?�/�=[�Qe�����g����U@��P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������k�w���~���v��������� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (�� (���տ�_�����:��T�~�@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@P@������/���?��j�?�5o�%��?��� g����U@�����&O3�����a�;�^=�wH���D��/��*� �fX�I���,������k?g_���?�5o�%��?��� g����U@�F�����������*������?�o�}��Τ~g��ʀ�#V��Y������~ο�T�j��K/� ������������z��������#;�~���A�;��� w�F�����������*���տ��_�@�o��5����EU������������u�誠��W��[�����������O��?jW���@��տ���@�o��5����EM������������v�訠�#V��Y�������������V��Zv��~����vw�~���c�Q@���,��~���kgo���?�5o�%��/��� o����Q@��o�%�>�ߤ���߳����S������?��o�%�~�ߠ�d�߳����S����g�P��j��K?� _������������[� g�D����[�;�TP7���������'Ѿ���=��;/�P��j��K?� _������������[� g�D����[�;�TP���,��~���kgo���a������۔���B{���ea�`T�+ �n%Ц �����j��K?� _������������[� g�D����[�;�TP���,��~���kgo����?���%�/�~�����#����x��c�~�q�v�t`ȫ��_'h���������'�]�;{s� Pp=N= 5���%�����ڜs�����=���J��A@�����Kp�b��}��X�����4g v+:�Բ�+60�ʩ,� @�����������I �uO�����ToUv��bgUl�cP�T?�#V��Y������������j��K?� _����������!��X��]���������TK�|4��`� ��#��P\y��aa >NgL��j��K?� _������������[� g�D����[�;�TP���,��~���kgo���o�F�����$��ہ�� ��vݞr6��S�q''*02���[� g�D����[�;�TP���,��~���kgo���?�5o�%��/��� o����Q@�F�����������*(��տ���@�o��5����EE������������v�訠��������~1�o���}G�L�������5o�%��/��� o����Q@�F�����������*(��տ���@�o��5����EE5����%�˷���r�v����y�\~���)(?0���=[� i����>��gc��N=����5o�%��/��� o����Q@�F�����������*(��W��Z�l����m#���X�wn_�j`0C6윅����5o�%��/��� o����Q@��տ��y9���gbO�G�5@�n�>���#V��Y������~ο�T��V��Y����9�gc��s�T.�?Z_��[� e�D����Y�:��UP���,������k?g_����_�=_� n�~~�rI������w�,"~ԓ�!72���)( u��#V��Y������~ο�T�j��K/� ��������������K
�����Kr_���}�De>~��Z=��pjX�n[p(�"� �a,Ub�/�×�<����;��<�����K>��o���[�:����V���,��$��ϧ�*�����5O����տ��_�@�o��5����EU5��o�%����?�ꜜm�_�;>Gbs�S�����@��տ��_�@�o��5����EU ��տ��}�~�����v?�������-��o�l��~�ȥ�v����r��B1���@��տ���A�?����ggP��c�S�`@%�*����տ��_�@�o��5����EU������������u�誠7���� O���!c�|0��ёv��4�+�X�Vx�RX3��8����K>��o���[�:���u#�x��#V��Y������~ο�T�j��K/� ������������[� e�D����Y�:��UP���,������k?g_���O��[� g�D����[�:��T��=_� k����~��k����c�;����.8����c��z��Ͽ�/��zc�o����F?Z_��[� e�D����Y�:��UP���,������k?g_���C���,�v����v�o���H������(�z���w�/�����v ��T.G��Ϡ���տ��_�@�o��5����EU������������u�誠��W��[��'����%��o���:�Cڕ�R̀���j���������?�o���[�;������g0q�?��o�%�>o�_��>�gf����~4�������������u�誠�z���7�/��o���������_��[� e�D����Y�:��UP���,������k?g_���C���,�|�����o��;�Ԟ��9�l�z��ؠ3|��O�X�~���;~�q����Z�F�����������*���տ��_�@�o��5����EU!��տ��}�~����-��G��I�T�������������u�誠�#V��Y������~ο�T�j��K/� ����������#�=_� n|���KbB�gtdM��"�ڒA#n�63�6�m�P�����,���/���gS�u����#�9��5o�%��?��� g����U@��o�%�o�_�����u��'�������?��o��� ���3��?go���|m�ڇ���-S�O��x��>���^�����7����x�]_�>�qke>���m��4��7P�Yހ��
0byt3m1n1
0byt3m1n1
Path:
/
hermes
/
bosweb
/
web
/
b2920
/
robertgrove.netfirms.com
/
rsaqv
/
cache
/
[
Home
]
File: d60725de9fc45e0d056c978c4d7e3aea
a:5:{s:8:"template";s:3561:"<!DOCTYPE html> <html lang="en"> <head> <meta content="width=device-width, initial-scale=1.0" name="viewport"> <meta charset="utf-8"> <title>{{ keyword }}</title> <style rel="stylesheet" type="text/css">body,div,footer,header,html,p,span{border:0;outline:0;font-size:100%;vertical-align:baseline;background:0 0;margin:0;padding:0}a{text-decoration:none;font-size:100%;vertical-align:baseline;background:0 0;margin:0;padding:0}footer,header{display:block} .left{float:left}.clear{clear:both}a{text-decoration:none}.wrp{margin:0 auto;width:1080px} html{font-size:100%;height:100%;min-height:100%}body{background:#fbfbfb;font-family:Lato,arial;font-size:16px;margin:0;overflow-x:hidden}.flex-cnt{overflow:hidden}body,html{overflow-x:hidden}.spr{height:25px}p{line-height:1.35em;word-wrap:break-word}#floating_menu{width:100%;z-index:101;-webkit-transition:all,.2s,linear;-moz-transition:all,.2s,linear;transition:all,.2s,linear}#floating_menu header{-webkit-transition:all,.2s,ease-out;-moz-transition:all,.2s,ease-out;transition:all,.2s,ease-out;padding:9px 0}#floating_menu[data-float=float-fixed]{-webkit-transition:all,.2s,linear;-moz-transition:all,.2s,linear;transition:all,.2s,linear}#floating_menu[data-float=float-fixed] #text_logo{-webkit-transition:all,.2s,linear;-moz-transition:all,.2s,linear;transition:all,.2s,linear}header{box-shadow:0 1px 4px #dfdddd;background:#fff;padding:9px 0}header .hmn{border-radius:5px;background:#7bc143;display:none;height:26px;width:26px}header{display:block;text-align:center}header:before{content:'';display:inline-block;height:100%;margin-right:-.25em;vertical-align:bottom}header #head_wrp{display:inline-block;vertical-align:bottom}header .side_logo .h-i{display:table;width:100%}header .side_logo #text_logo{text-align:left}header .side_logo #text_logo{display:table-cell;float:none}header .side_logo #text_logo{vertical-align:middle}#text_logo{font-size:32px;line-height:50px}#text_logo.green a{color:#7bc143}footer{color:#efefef;background:#2a2a2c;margin-top:50px;padding:45px 0 20px 0}footer .credits{font-size:.7692307692em;color:#c5c5c5!important;margin-top:10px;text-align:center}@media only screen and (max-width:1080px){.wrp{width:900px}}@media only screen and (max-width:940px){.wrp{width:700px}}@media only screen and (min-width:0px) and (max-width:768px){header{position:relative}header .hmn{cursor:pointer;clear:right;display:block;float:right;margin-top:10px}header #head_wrp{display:block}header .side_logo #text_logo{display:block;float:left}}@media only screen and (max-width:768px){.wrp{width:490px}}@media only screen and (max-width:540px){.wrp{width:340px}}@media only screen and (max-width:380px){.wrp{width:300px}footer{color:#fff;background:#2a2a2c;margin-top:50px;padding:45px 0 20px 0}}@media only screen and (max-width:768px){header .hmn{bottom:0;float:none;margin:auto;position:absolute;right:10px;top:0}header #head_wrp{min-height:30px}}</style> </head> <body class="custom-background"> <div class="flex-cnt"> <div data-float="float-fixed" id="floating_menu"> <header class="" style=""> <div class="wrp side_logo" id="head_wrp"> <div class="h-i"> <div class="green " id="text_logo"> <a href="{{ KEYWORDBYINDEX-ANCHOR 0 }}">{{ KEYWORDBYINDEX 0 }}</a> </div> <span class="hmn left"></span> <div class="clear"></div> </div> </div> </header> </div> <div class="wrp cnt"> <div class="spr"></div> {{ text }} </div> </div> <div class="clear"></div> <footer> <div class="wrp cnt"> {{ links }} <div class="clear"></div> <p class="credits"> {{ keyword }} 2022</p> </div> </footer> </body> </html>";s:4:"text";s:13031:"1. TFRS is open source and available on Github. The second level is the recommendation level. '9+' : newsCount }} Stats ; About ; Cell link copied. git init git add . Please see the attached report for complete details of the project Data Userid-playtime data is collected from the Steam Web API. A "Node" is a data or record in a graph . The dimension of the vectors is the rank of . Video Games. import requests as HTTP. Recommender systems are widely used in product recommendations such as recommendations of music, movies, books, news, research articles, restaurants, etc. Once loaded, the package provides a Recommender function which takes a data matrix and recommendation method as inputs. Sign up for free to join this conversation on GitHub. We strongly suggest to create a virtual env (i.e. The predict function is then used to retrieve five items for user 101. Recommendations ; Blog ; News {{ newsCount > 9 ? You can adjust this threshold and change the mix of recommendations with the options below. The Japan External Trade Organization has valued the industry's overseas sales to 18 ( 5.2 billion for the US alone) in 2004. The code is available in our Github repository.. Citation. To demonstrate this, we'll select two movies from the data set: Toy Story (1995) Returns of the Jedi (1983) View Project View Article Download file from Sharepoint Personalized Game Recommendation system for Steam. There are several ways to measure the similarity between two items. We also can get a full tutorial on how to use and get a game recommendation from the GitHub Repository Wiki. . Logs. Photo by Author. Steps Involved in Collaborative Filtering. Alice recently played and enjoyed the game Legend of Zelda: Breath of the Wild. In this article, we will build a machine learning algorithm that . rating - average rating out of 10 for this anime. The following figure shows a feature matrix where each row represents an app and each . 45.9s. Niche vs. Popular: Games appear in the list only if their popularity exceeds a preset threshold. More specifically, it will recommend movies to you that other users with similar taste have enjoyed. Online sources claim that more than 75% of movies or shows watched on Netflix. smart career guidance and recommendation system This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. Recommend.Games. 45.9 second run - successful. The hybrid recommender system consists of combining the content-based and the collaborative filtering, either by using an algorithm that uses both or by combining the recommendations produced by both methods. License. Userid-playtime data is collected from the Steam Web API. By the data we create a user profile, which is then used to suggest to the user, as the user provides more input or take more actions on the recommendation, the engine becomes more accurate. arrow_right_alt. Recommends movie with maximum similarity score of content-based data. The project is publishing to the GitHub repository according to the files needed for execution: Game-Recommendation-System Repository. Popular methods include: Similarity-based Methods. The recommendation systems use this similarity matrix to recommend the next most similar product to the user.. Logs. Recommendation engine for Steam games based on data collected from Steam Web API. main 1 branch 0 tags For a sneak peak at the results of this approach, take a look at how we use a nearly-identical . GitHub Gist: instantly share code, notes, and snippets. Since Steam does not maintain explicit ratings for games, we derive our ratings based on playtime. There are basically two approaches you can take: content-based and collaborative-filtering. There are no ads in this search engine enabler service. To learn more, see the tutorial on how to build a movie recommender system, or check the API docs for the API reference. Just commit and push to GitHub as you normally would; for instance, if your current branch is named main: git add file.psd git commit -m "Add design file" git push origin main. Section 3 describes the candidate generation model in more detail, including how it is trained and used to serve recommendations. arrow_right_alt. Project Presentation (407) - CankayaUniversity/ceng-407-408-2021-2022-Game-Recommendation-System-using-Machine-Learning-Algorithms Wiki View Page on GitHub.com The indexable preview below may have rendering errors, broken links, missing images, and may not include the last modified date. With a massive collection that includes everything from AAA blockbusters to small indie titles, great discovery tools can be super valuable for Steam. Recommendation systems are at the heart of almost every internet business today; from Facebook to Netix to Amazon. 1150.5s - GPU. Notebook. Find the best board and card games with personal recommendations for your taste! Let us also import the necessary data files. Once loaded, the package provides a Recommender function which takes a data matrix and recommendation method as inputs. name - full name of anime. 1 input and 2 output. SUPPORT ON PATREON: https://patreon.com/pardcodeGITHUB: https://github.com/pardcode/opengl-3d-game-tutorial-seriesDISCORD SERVER: https://discord.gg/RymBzwKP. From the user profiles are inferred for a particular user. Every time you go buy something on Amazon, under the product you'll see the heading 'People Who Purchased This Item Also Purchased' (or something along those lines) with a selection of products . The project is publishing to the GitHub repository according to the files needed for execution: Game-Recommendation-System Repository. There are two main approach of recommendation system. Learn how to build a recommendation system by using BigQuery ML to generate product or service recommendations from customer data in BigQuery. Bob has not played this game, but because the system has learned that Alice and Bob . Following Ibtesam's lead, we'll use the formula IMDB . Steam Game Recommendation System We developed simple yet effective game recommendation system using SVD with tresholding. In Section 2, we ground from bs4 import BeautifulSoup as SOUP. Machine Learning based Hybrid Recommendation System. Explicit feedback when the data is usually in a form of rating like scale from 1-5, 1 being bad and . Trust - Western. Collaborative Filtering: For each user, recommender systems recommend items based on how similar users liked the item. This brings me to what I've been working on recently: a recommendation system that can help anyone or any company to view/add the highest-rated anime. of a content-based engine. Continue exploring. Step by step how I developed this project Recommendation and Ratings Public Data Sets For Machine Learning - gist:1653794. . The predict function is then used to retrieve five items for user 101. Video Game Recommendation Engine. Today, many companies use big data to make super relevant recommendations and growth revenue. history Version 1 of 1. The button and/or link at the top will take you directly to GitHub. Collaborative filtering: Collaborative filtering approaches build a . anime_id - myanimelist.net's unique id identifying an anime. This is a graph database management system, unlike traditional RDBMS. It uses this data to learn to make . It provides high . Please cite the following if you use the data: Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption Enjoyment - Thriller. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. We use these user profiles to recommend the items to the users from the catalog. Data. Comments. A Content-Based Recommender works by the data that we take from the user, either explicitly (rating) or implicitly (clicking on a link). Find the best board and card games with personal recommendations for your taste! This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Data. 1 input and 0 output. Train multi-task models that jointly optimize multiple recommendation objectives. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators . GitHub Gist: instantly share code, notes, and snippets. ; Rating: An expression of preference by a user in regards to items.Ratings can be binary (like/dislike), integer (1 to 5 stars . To build a system that can automatically recommend items to users based on the preferences of other users, the first step is to find similar users or items. The most basic matrix factorization model for recommender systems models the rating r ^ a user u would give to an item i by. Post a video or a blog on your website about your integration. License. The goal of this project is to make appropriate recommendations to gamers. && git commit -m 'Deploy' heroku git:remote -a appname git push heroku master. 4 comments. Let us see if we can better this number with the recommendation engine we can build! In this study, we propose a hierarchical item recommendation system for e-commerce domain by considering recent purchasing behavior of users. The predict function is then used to retrieve five items for user 101. (1 if movie). We'll start with two very basic recommendation systems we'll recommend the user a list of the highest rated movies and another list of the most popular movies. "Apache Spark is a fast and general-purpose cluster computing system. Building Recommender Systems with Machine Learning and AIHow to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.Rating: 4.4 out of 52370 reviews11.5 total hours127 lecturesIntermediateCurrent price: $17.99Original price: $24.99. Also the website published on Heroku is: Recommendation Game System. the problem of ensuring that an AI system's behavior aligns with the values of the principal on whose behalf it acts (Hadeld-Menell & Hadeld,2019). This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Based on the input emotion, the corresponding genre would be selected and all the top 5 movies of that genre would be recommended to the user. System This project is about a game recommendation system that I developed to put into practice some Machine Learning techniques, so the goal is for the user to add the games that have already been played by him and add it to his profile, and later receive the recommendation of new games. Comments. Let's go back to our example with a bicycle. First, let us import all the necessary libraries that we will be using to make a content-based recommendation system. Comments (4) Run. Let's say Alice and Bob have similar interests in video games. By Daniil Korbut, Statsbot. The paper is organized as follows: A brief system overview is presented in Section 2. Since we are building a plot . This story relies heavily on the work of Yifan Hu, Yehuda Koren, Chris Volinsky in their paper on Collaborative Filtering for Implicit Feedback as well as code and concepts from Ben Frederickson . Deploy with Git. Used linear regression framework for determining optimal feature weights from collaborative data. Also the website published on Heroku is: Recommendation Game System. Content-Based Recommendation System Item profile: The datasets are a unique source of information to enable, for instance, research on collaborative . There are several ways to measure the similarity between two items. To review, open the file in an editor that reveals hidden Unicode characters. Check out our wiki, discussion forum, and documentation for help with any questions you might have! Search: Product Recommendation System Github. More about the Game Recommendation System Tutorial on how to get a recommendation In this GitHub tutorial you can learn how to register as a user, add games to your profile, and receive a recommendation using a Machine Learning script. members - number of community members that are in this . Download link. But first we'll want to find the weighted average for each movie's average rating (the vote_average values). 1150.5 second run - successful. Continue exploring. genre - comma separated list of genres for this anime. Explore and run machine learning code with Kaggle Notebooks | Using data from Articles sharing and reading from CI&T DeskDrop How to Build a Movie Recommendation System Our recommendation system functions based on the similarities between movies. In this script, the data matrix is loaded from a CSV file, and the method used is user-based collaborative filtering. arrow_right_alt. Please see the attached report for complete details of the project. ";s:7:"keyword";s:33:"game recommendation system github";s:5:"links";s:758:"<ul><li><a href="https://www.mobilemechanictips.com/rsaqv/15863898f20aa5a21b17a2a40a27d120c042">Di Majo Norante Sangiovese 2018</a></li> <li><a href="https://www.mobilemechanictips.com/rsaqv/15864462f20aa51ff32abe3fec">Does Gillette Stadium Do Tours</a></li> <li><a href="https://www.mobilemechanictips.com/rsaqv/15863509f20aa54faf62e30bc6">Jujutsu Kaisen Manga Poster</a></li> <li><a href="https://www.mobilemechanictips.com/rsaqv/15863721f20aa5f954fe6b86e61dbc702227">Hyatt Philadelphia/king Of Prussia</a></li> <li><a href="https://www.mobilemechanictips.com/rsaqv/15863985f20aa5b578fc">Epithelial Tissue Used In A Sentence</a></li> <li><a href="https://www.mobilemechanictips.com/rsaqv/15863957f20aa5a8b92c42ce928">Nature Resorts Near Pune</a></li> </ul>";s:7:"expired";i:-1;}
© 2017 -
ZeroByte.ID
.