text:
0px;width:calc(100% - 320px)}
.prc-wo_image_lightbox .prc-story-img .prc-changer.prc-previous-btn{left:-40px}
.prc-wo_image_lightbox .prc-story-img .prc-changer.prc-next-btn{right:-40px}
.prc-wo_imagecombo_lbox.prc-story_lightbox .prc-story_image_owner {margin-left: 320px;}
}

@media (max-width:992px) {
.prc-main-blog-sidebar{margin-top:40px}
.prc-wo_image_lightbox .prc-story-img .prc-changer.prc-previous-btn{left:-10px}
.prc-wo_image_lightbox .prc-story-img .prc-changer.prc-next-btn{right:-10px}
.prc-load-more{margin-bottom:35px}
.prc-wo_market .prc-market_search_header > span .prc-btn {box-shadow: 0 2px 5px 1px rgba(0, 0, 0, 0.23);background-color: #fff;color: #000000;}
.prc-user_media_list_section .prc-photo-data, .prc-user_media_list_section .prc-video-data {flex: 0 0 25%;width: 25%;}
.prc-mobileleftpane{position:fixed;height:100%;z-index:1;padding:0;top:45px;left: 0;}
.prc-text-sender-container .prc-msg_usr_info_top_list .prc-mobilemsgclose {display:block;}
.prc-wo_comthing_usr_innr .prc-avatar {padding-top: 110%;}
.prc-ads_col_8 {padding: 0 15px;}
.prc-wow_forum_sections table .prc-forum-meta-d.prc-small {	display: none;}
.prc-wow_thread_head .prc-btn-glossy > a {float: none !important;}
.prc-wow_main_float_head > .prc-container.prc-wo_go_pro:after {display: none;}
}

@media (max-width:990px) {
.prc-tab-container,.prc-wowonder-well{margin-bottom:20px}
.prc-hidden-mobile-image,.prc-second-footer{display:none}
.prc-middlecol{width:100%}
.prc-continue-button{margin-top:20px}
.prc-sidebar-profile-style{display:none!important}
.prc-left-sidebar{display:none}
.dropdown-search-link{display:block!important}
.dropdown-hidden-link{display:none!important}
.prc-navbar-nav .open .dropdown-menu .dropdown-header{padding:5px 10px 1px 20px}
.prc-header-container .prc-logo img{width:30%}
.prc-search-container .prc-search-input{width:200px}
footer .prc-footer-wrapper{display:block}
.prc-footer-wrapper.prc-sidebar{display:none}
.prc-navbar-default .dropdown-menu.prc-ani-acc-menu{top:auto;visibility:visible;opacity:1;display:none;transition:none}
.prc-navbar-default .dropdown-menu.prc-ani-acc-menu li a{transition:none}
.prc-navbar-default .open>.dropdown-menu.prc-ani-acc-menu{display:block;top:auto;max-height: calc(100vh - 130px);overflow-y: auto;}
.prc-footer-wrapper-sidebar {display: none;}
}

@media (max-width:985px) {
.prc-container,.prc-header-fixed1000,.prc-header-fixed1200{width:800px}
}

@media (max-width:900px) {
.prc-lightbox-content.prc-multi{width:100%}
.prc-wo_image_lightbox .prc-story-img{min-width:100%;max-width:100%}
.prc-wo_image_lightbox .prc-story-img .prc-changer.prc-previous-btn{left:10px;z-index:1}
.prc-wo_image_lightbox .prc-story-img .prc-changer.prc-next-btn{right:10px;z-index:1}
}

@media (max-width:840px) {
.prc-container,.prc-header-fixed1000,.prc-header-fixed1200{width:97%}
.prc-messages-container .prc-message-media video{width:100%!important}
.prc-wo_market .prc-market_categories .prc-product-navigate{opacity:1;position:relative;top:5px;right:0;transform:none;margin-left:auto;left:0}
.prc-wo_market .prc-market_categories .prc-product-navigate a{padding:1px 6px;margin-right:7px}
.prc-wo_group_profile .prc-side_panel{position:relative;width:100%;background-color:#fff;border:1px solid #ececec;border-top:0}
.prc-container .prc-wo_group_profile .prc-side_panel .prc-box-inner{display:none}
.prc-container .prc-wo_group_profile .prc-side_panel .prc-user-avatar{margin-top:30px}
.prc-container .prc-wo_group_profile .prc-side_panel .prc-info,.prc-wo_group_profile .prc-profile-container .prc-card.prc-hovercard .prc-info .prc-title a{color:#4a4a4a}
.prc-container .prc-wo_group_profile .prc-side_panel .prc-info .prc-title{text-shadow:none}
.prc-wo_group_profile .prc-side_panel .prc-options-buttons{margin:20px 0}
.prc-wo_group_profile .prc-side_panel .prc-options-buttons a{color:#2a2a2a;background:rgba(0,0,0,.23)}
.prc-wow_search_head {flex-wrap: wrap;}
.prc-wow_srch_fields:last-child {text-align: center;}
}

@media (max-width:800px) {
.prc-blog-cat-img img,.prc-blog-ls-img img{margin-bottom:15px}
.prc-post-youtube iframe{height:280px}
.prc-wo_imagecombo_lbox .prc-story-img{margin-right:0;margin-left:0;width:100%;height:calc(100% - 220px)}
.prc-sun_img_innr {height:calc(100% - 268px)}
.prc-lightbox-content .prc-story-img img {max-height: calc(100vh - 268px);}
.prc-wo_imagecombo_lbox .prc-comment-section{width:100%;position:relative}
.prc-wo_imagecombo_lbox{overflow-y:auto;height: 100%;}
.prc-wo_imagecombo_lbox .prc-lightbox-post-footer.prc-post-comments .prc-lighbox.prc-comment-textarea {height: 40px;}
.prc-user_media_list_section .prc-photo-data, .prc-user_media_list_section .prc-video-data {flex: 0 0 33.3333333%;width: 33.3333333%;}
.prc-wo_imagecombo_lbox.prc-story_lightbox.prc-mobi_stor_box {height: 100%;overflow-y: auto;}
.prc-wo_imagecombo_lbox.prc-story_lightbox .prc-story_image_owner {margin-left: 0;height: calc(100% - 200px);}
}

@keyframes slidenavAnimation {
from{opacity:0}
to{opacity:1;margin-top:0}
}
@-webkit-keyframes slidenavAnimation {
from{opacity:0}
to{opacity:1;margin-top:0}
}

@media (max-width:780px) {
.prc-nav-names{display:none}
}

@media (max-width:767px) {
#filter-by-sidebar{display:none}
.prc-filter-by-home{display:block}
#navbar-searchbox,.prc-chat-all-container,.prc-nav>.prc-navbar-home,.prc-navbar-home,.prc-problackback{display:none}
.prc-header-container .prc-logo img{width:30%}
.prc-profile-style,.prc-setting-form{width:100%}
.prc-sidebar-page-data .prc-sidebar-listed-page-name{top:80%!important}
.prc-sidebar-page-data .prc-sidebar-listed-page-like-btn{top:75%!important}
.prc-nav-footer-toggle{left:40%}
#load-more-posts{margin-bottom:20px}
.prc-cool-style{width:49.3%!important;float:none}
.prc-no-padding-right,.prc-no-padding-right-mobile{padding-right:15px!important}
#sidebar-latest-products .prc-cool-style{float:left!important}
.prc-profile-userpic img{width:70%;height:70%}
.prc-search-users-result .prc-profile-style{width:100%!important;margin-left:-30px!important}
#local-media video:nth-child(2){width:200px;height:100px}
.prc-wo_my_pages .prc-row{margin-right:0;margin-left:0}
.prc-cool-style-album{margin-bottom:40px}
.prc-blog-ls-box .prc-article-image{max-height:none}
.prc-wo_pro_features h3{margin-top:20px;margin-bottom:50px}
.prc-modal-dialog{max-width:92%;width:100%}
.prc-wo_page_profile .prc-options-buttons {margin:20px 0 0;justify-content:center;flex-wrap: wrap;}
.prc-wo_page_profile .prc-options-buttons .prc-btn {margin-bottom: 8px;}
.prc-wo_user_profile .prc-pic-info-cont{position:relative;background-color:#fff;box-shadow:0 1px 0 0 #e3e4e8,0 0 0 1px #f1f1f1;margin:0;display:block;text-align:center;bottom:0}
.prc-container .prc-wo_user_profile .prc-pic-info-cont .prc-user-avatar{margin:-65px auto 0;display:inline-block;top:-15px}
.prc-profile-container .prc-card.prc-hovercard .prc-user-avatar img{box-shadow:0 1px 2px rgba(68,68,68,.42);border:3px solid #fff}
.prc-profile-container .prc-card.prc-hovercard .prc-info .prc-title{text-shadow:none}
.prc-profile-container .prc-card.prc-hovercard .prc-info .prc-title a{color:#4a4a4a}
.prc-container .prc-wo_user_profile .prc-card.prc-hovercard .prc-info .prc-title svg.prc-feather{fill:#4a4a4a;filter:none}
.prc-wo_user_profile .prc-card.prc-hovercard .prc-title .prc-badge-link{color:#fff!important}
.prc-wo_user_profile .prc-btn-glossy a,.prc-wo_user_profile .prc-btn-glossy button{color:#2a2a2a;background:rgba(0,0,0,.23)}
.prc-footer-wrapper .prc-footer-powered {
	flex-direction: column;
    flex-wrap: wrap;
}
.prc-footer-wrapper .prc-footer-powered .prc-list-inline {
	margin: 10px 0;text-align: center;
}
.prc-head_name_links {
	vertical-align: middle;
}
.prc-create_head_menu:before {
	display: none;
}
}

@media (max-width:700px) {
.prc-blog-h-desc,.prc-blog-h-list .prc-avatar{display:block;width:100%}
.prc-blog-h-list .prc-avatar{margin:0}
.prc-blog-h-list .prc-avatar img{width:100%;object-fit:cover}
.prc-blog-h-desc .prc-postCategory h5{position:absolute;top:30px}
.prc-wo_send_gift .prc-gift-data {flex: 0 0 25%;width: 25%;}
.prc-wow_read_blog_row {padding: 0;margin: 15px -15px 0;}
.prc-wow_read_blog_hdr_img_innr {padding: 0 0px 15px;}
.prc-wow_read_blog_hdr_img_innr h2 {font-size: 35px;}
}

@media (max-width:665px) {
.prc-event-info-cont-small {position: relative;background: transparent;padding: 20px 20px 2px;}
.prc-event-info-cont-small .prc-info {display: block;width: 100%;text-align: center;}
.prc-event-info-cont-small .prc-info h3 {color: #282828;}
.prc-short_start_dt {display: none;}
.prc-wo_event_profile .prc-event-info-cont {flex-direction: column;}
.prc-event_cdown {margin-bottom: 15px;}
.prc-event_cdown:empty{margin:0}
.prc-event_cdown li:last-child{display:inline-block}
.prc-wo_page_profile .prc-page-info-cont .prc-first_row{align-items:inherit}
.prc-page_menu_cta{display:none}
.prc-page_info_cta{display:block!important}
.prc-page_info_cta .prc-btn-call-action{margin:0 7px;padding:6px 10px}
.prc-wo_page_profile .prc-page-info-cont .prc-page_navbar{padding:5px 10px}
.prc-wo_page_profile .prc-page_navbar ul{padding:0;width:100%;float:none!important;white-space:nowrap;overflow-x:auto}
.prc-wo_com_lbox_slide {padding: 0 10px;}
.prc-wo_vew_apld_head {flex-wrap: wrap;flex-direction: column;}
.prc-wo_vew_apld_head .prc-avatar {margin: 0 auto 20px;}
.prc-wo_vew_apld_head .prc-jinfo {text-align: center;}
/*.prc-wo_page_profile .prc-options-buttons .prc-btn svg {display: none;}*/
.prc-wow_forum_sections table .prc-forum-meta-d.prc-topics, .prc-wow_forum_sections table .prc-forum-meta-d.prc-posts, .prc-wow_forum_sections .prc-f_category b {display: none;}
.prc-wow_thread_main_reply {flex-direction: column;}
.prc-wow_thread_main_reply .prc-t-left_prt {float: none;width: 100%;border: 0;border-bottom: 1px solid #e5e5e5;}
.prc-wow_thread_replies .prc-thread-replies {padding: 3px 3px;}
.prc-wow_thread_replies .prc-thread-replies .prc-t-left_prt .prc-avatar .prc-btn {display: none;}
.prc-wow_thread_replies .prc-thread-replies .prc-t-left_prt {min-width: 80px;width: 80px;}
.prc-wow_thread_replies .prc-thread-replies .prc-t-left_prt .prc-avatar {margin-left: 0;margin-right: auto;}
}

@media (max-width:600px) {
.prc-caret{display:inline-block;width:0;height:0;margin-left:2px;border-top:4px dashed;border-right:4px solid transparent;border-left:4px solid transparent}
#postbutton{display:none}
.prc-header-brand img{width:100px;}
.prc-send-comment{display:block!important}
.prc-change-avatar,.prc-charsLeft-post,.prc-filter-text,.prc-like-btn-mobile,.prc-options-buttons span[class^=button-text],span[class^=setting-tab-text]{display:none}
.prc-panel-one-post{margin:0 auto;width:100%}
.prc-options-buttons{right:10px;margin-top:-35px}
.prc-options-buttons button{width:auto;margin-left:5px}
.prc-post .prc-post-heading .prc-avatar{width:40px;height:40px;margin-bottom:20px}
.prc-post .prc-post-heading .prc-meta .prc-title{font-size:13px!important;margin-top:5px!important}
.prc-post .prc-post-footer .prc-comments-list .prc-comment .prc-avatar{width:38px!important;height:38px!important}
.prc-post .prc-post-footer .prc-comments-list .prc-comment .prc-comment-heading .prc-user{font-size:13px}
.prc-post .prc-post-footer .prc-comments-list .prc-reply .prc-avatar{width:30px!important;height:30px!important}
.prc-post .prc-post-footer .prc-comment-body .prc-comment-text{font-size:12px!important}
.prc-post .prc-post-comments input{padding:5px 40px 5px 5px;height:30px;font-size:12px}
.prc-publisher-box .prc-btn-default{padding:4px}
.prc-publisher-box #publisher-button{font-size:12px}
.prc-publisher-box .prc-publisher-hidden-option select{width:100%}
.prc-post-fetched-url .prc-fetched-url-text .prc-description{font-size:12px!important}
.prc-post-fetched-url .prc-fetched-url-text h4{font-size:14px!important}
.prc-nav.prc-navbar-nav.prc-navbar-right{font-size:12px}
.prc-nav>li.dropdown.open{position:static}
.prc-nav>li.dropdown.open .dropdown-menu{width:100%;left:0;right:0}
.prc-profile-container{padding-left:4px;padding-right:4px}
.prc-profile-container .prc-card.prc-hovercard .prc-user-avatar{width:115px;height:115px}
.prc-ad-placement-header-footer iframe,.prc-ad-placement-header-footer img,.prc-ad-placement-header-footer script{width:100%}
.prc-col-lg-1,.prc-col-lg-10,.prc-col-lg-11,.prc-col-lg-12,.prc-col-lg-2,.prc-col-lg-3,.prc-col-lg-4,.prc-col-lg-5,.prc-col-lg-6,.prc-col-lg-7,.prc-col-lg-8,.prc-col-lg-9,.prc-col-md-1,.prc-col-md-10,.prc-col-md-11,.prc-col-md-12,.prc-col-md-2,.prc-col-md-3,.prc-col-md-4,.prc-col-md-5,.prc-col-md-6,.prc-col-md-7,.prc-col-md-8,.prc-col-md-9,.prc-col-sm-1,.prc-col-sm-10,.prc-col-sm-11,.prc-col-sm-12,.prc-col-sm-2,.prc-col-sm-3,.prc-col-sm-4,.prc-col-sm-5,.prc-col-sm-6,.prc-col-sm-7,.prc-col-sm-8,.prc-col-sm-9,.prc-col-xs-1,.prc-col-xs-10,.prc-col-xs-11,.prc-col-xs-12,.prc-col-xs-2,.prc-col-xs-3,.prc-col-xs-4,.prc-col-xs-5,.prc-col-xs-6,.prc-col-xs-7,.prc-col-xs-8,.prc-col-xs-9{padding-right:10px;padding-left:10px}
#bar_loading{top:0}
.prc-btn-file{font-size:13px}
.prc-header-container .prc-logo img{width:100%;margin:0}
#local-media video:nth-child(2){width:100px;height:150px}
#remote-media video:nth-child(2){width:95px}
.prc-center-container *:not(i) {font-size:18px;max-width:100%; min-width: 80%}
.dropdown-menu>li{display:block}
.prc-wowonder-well .prc-profile-style{width:100%}
.prc-admin-panel-well .prc-admin-static{width:100%!important}
.prc-wo_setting_sidebar{top:0;right:auto;left:0;width:100%;text-align:inherit}
.prc-wo_setting_sidebar ul{white-space:nowrap;overflow:hidden;overflow-x:auto}
.prc-wo_setting_sidebar ul .prc-list-group-item{display:inline-block;margin-right:-4px}
.prc-wo_setting_sidebar ul .prc-list-group-item a{padding:13px 18px}
.prc-wo_settings_page{padding:15px;margin-top:70px}
.prc-wo_settings_page .prc-last-sett-btn{margin-right:-15px}
.prc-wo_settings_page .prc-setting-panel-mdbtn{margin:2px 7px}
.prc-modal-body .prc-wo_settings_page,.prc-wo_about_page_margin .prc-wo_settings_page{margin-top:0}
.prc-navbar-default .dropdown-menu.prc-ani-acc-menu{overflow:hidden;overflow-y:auto;max-height:400px}
.prc-blog-h-desc .prc-postCategory h5{position:absolute;top:30px}
.prc-wo_send_gift .prc-gift-data {flex: 0 0 33.3333333333%;width: 33.3333333333%;}
.prc-wow_mini_wallets {flex-direction: column;}
.prc-wow_mini_wallets_btns {margin: 15px auto 0;}
.prc-wow_read_blog_hdr_img img {height: 450px;}
.prc-wow_read_blog_hdr_img_innr .prc-read-blog-info-user .prc-views, .prc-wow_read_blog_hdr_img_innr .prc-read-blog-info-user .prc-middot {display: none;}
.prc-wow_grpage_setts .prc-wow_sett_content {
	padding: 70px 10px 10px;
}
.prc-wow_grpage_setts .prc-setting-well .prc-profile-style {
	width: 100%;
}
#wo_msg_right_prt .prc-text-sender-container .prc-sendMessages .prc-input-group {
	padding: 0px 5px;
}
#wo_msg_right_prt .prc-text-sender-container .prc-sendMessages .prc-input-group .prc-input-group-btn {
    margin-left: 5px;
}
#wo_msg_right_prt .prc-msg_write_combo .prc-message-option-btns {
	margin: 0;
}
.prc-text-sender-container .prc-msg_usr_info_top_list .prc-msg_usr_cht_usr_data a {
    white-space: nowrap;
    max-width: 100px;
    overflow: hidden;
    text-overflow: ellipsis;
    display: block;
}
.prc-text-sender-container .prc-msg_usr_info_top_list .prc-msg_usr_cht_opts_btns > span {margin-right: 4px;}
#wo_msg_right_prt .prc-message-option-btns .prc-btn {width: 30px;}
}

@media (max-width:570px) {
.prc-hero-overlay{padding-top:40px}
.prc-wo_page_profile .prc-page-info-cont .prc-user-avatar,.prc-wo_page_profile .prc-page-info-cont .prc-user-avatar img{width:80px;height:80px}
.prc-wo_loading_post_child{transform:scale(.9);height:320px;margin:0 -25px}
.prc-wo_post_fetch_event .prc-post-fetched-url-con .prc-description p{font-size:14px}
.prc-wow_ads_lists {overflow-x: auto;}
.prc-wow_ads_lists > li {min-width: 570px;}
.prc-user-status-home ul.prc-status-list {display: block;white-space: nowrap;overflow-x: auto;}
.prc-user-status-home ul.prc-status-list li {width: 130px;}
.prc-user-status-home ul.prc-status-list li a {white-space: normal;}
}

@media (max-width:530px) {
.prc-wo_adaptive_media_5{height:446px}
.prc-wo_adaptive_media_5 .prc-album-image:first-child{height:221px}
.prc-wo_adaptive_media_5 .prc-album-image:nth-child(2){height:222px;top:225px}
.prc-wo_adaptive_media_5 .prc-album-image:nth-child(3){height:147px}
.prc-wo_adaptive_media_5 .prc-album-image:nth-child(4){height:145px;top:150px}
.prc-wo_adaptive_media_5 .prc-album-image:last-child{height:147px;top:299px}
.prc-wo_adaptive_media_5 .prc-album-image img{width:100%;height:100%}
.prc-user_media_list_section .prc-photo-data, .prc-user_media_list_section .prc-video-data {flex: 0 0 50%;width: 50%;}
}

@media (max-width:520px) {
.prc-navbar-default li.dropdown.prc-notification-container{margin-right:3px}
.prc-messages-container {padding: 30px 10px 0;}
.prc-text-sender-container .prc-msg_usr_info_top_list {padding: 8px 20px;height: 60px;}
.prc-wo_jlist_headimg, .prc-wo_view_post_jcover {height: 200px;}
}

@media (max-width:480px) {
.prc-read-blog-container .prc-read-blog h1{font-size:30px}
.prc-read-blog-container .prc-read-blog .prc-read-blog-desc{font-size:16px}
.prc-read-blog-container .prc-read-blog .prc-blog-share-buttons ul li.prc-bold{display:block}
.prc-read-blog .prc-blog-author-info .prc-media-body .prc-user-follow-button,.prc-wo_blogcomm_combo img{display:none}
.prc-read-blog .prc-blog-author-info .prc-media-body h4{padding-right:0}
.prc-wo_my_pages .prc-boosted_pages{text-align:center}
.prc-wo_my_pages .prc-boosted_pages .prc-col-xs-2,.prc-wo_my_pages .prc-boosted_pages .prc-col-xs-8{width:100%}
.prc-wo_my_pages .prc-boosted_pages .prc-col-xs-2.prc-no-padding-left{padding-left:10px!important}
.prc-wo_loading_post_child{transform:scale(.8);margin:-15px -45px}
.prc-wo_post_fetch_event .prc-post-fetched-url-con .prc-description p{font-size:3vw}
.prc-publisher-box textarea.prc-postText{padding:10px 55px 16px}
.prc-profile-container .prc-card.prc-hovercard .prc-user-avatar{width:95px;height:95px}
#wo_post_stat_button .prc-stat-item{font-size:12px;font-weight:400;background: #fff !important;user-select: none;}
#wo_post_stat_button .prc-stat-item svg{/*width:16px;height:16px*/}
#wo_post_stat_button .prc-show_post_comm_mobi,#wo_post_stat_button .prc-stat-item .prc-like-btn-mobile{display:inline}
#wo_post_stat_button .prc-hide_post_comm_mobi{display:none}
.prc-show_post_comm_mobi{display:block}
.prc-api_posts #wo_post_stat_button .prc-stat-item {font-weight: 700;}
.prc-earn_points .prc-ep_illus {flex-direction: column;}
.prc-post .prc-post-footer .prc-comments-list .prc-comment .prc-comment-body .prc-reactions-box {left: -50px;}
.prc-post .prc-post-footer .prc-comments-list .prc-reply .prc-comment-body .prc-reactions-box {	left: -100px;}
.prc-reaction {overflow: hidden;}
.prc-select_radio_btn label {width: 100%;padding: 0 7px;margin-bottom: 14px;}
.prc-wow_thread_replies .prc-thread-replies .prc-t-left_prt .prc-avatar {width: 45px;height: 45px;}
.prc-wow_thread_replies .prc-thread-replies .prc-t-left_prt .prc-avatar img {width: 45px;height: 45px;margin-top: 12px;}
.prc-wow_thread_replies .prc-thread-replies .prc-t-left_prt {min-width: 55px;width: 55px;}
.prc-header-brand{display:none}
.prc-header-fixed1000 > .prc-container-fluid {padding: 0 2px;}
.prc-wow_hdr_innr_left .prc-nav {margin: 0 !important;}
.prc-wow_hdr_innr_left {min-width: 100px;justify-content: space-around;}
#head_menu_rght {float: none !important;justify-content: space-around;margin: 0 -10px;flex: 1;display: flex;}
.prc-user-status-home ul.prc-status-list li {width: 110px;}
.prc-wo_main_jobs {
	flex-direction: column;
}
.prc-wo_main_jobs .prc-wo_jobs_search {
	margin: 15px 0 0;
}
}

@media (max-width:420px) {
.prc-owl-item .prc-format-standard{height:320px}
.prc-wo_pro_features h2{margin-top:23px;margin-bottom:40px;font-size:27px}
.prc-navbar-nav>li>a, #head_menu_rght .prc-user-menu-combination{padding:10px 8px}
.prc-col-proxs-12{width:100%}
.prc-wo_loading_post_child{transform:scale(.7);margin:-35px -75px}
.prc-wo_adaptive_media_5{height:366px}
.prc-wo_adaptive_media_5 .prc-album-image:first-child{height:181px}
.prc-wo_adaptive_media_5 .prc-album-image:nth-child(2){height:182px;top:185px}
.prc-wo_adaptive_media_5 .prc-album-image:nth-child(3){height:119px}
.prc-wo_adaptive_media_5 .prc-album-image:nth-child(4){height:120px;top:123px}
.prc-wo_adaptive_media_5 .prc-album-image:last-child{height:120px;top:247px}
#wo_post_stat_button{margin:1px -15px 0;width:calc(100% + 30px)}
.prc-wo_emoji_post{width:100%}
.prc-wo_emoji_tab span{width:15.6%}
.prc-wo_emoji_msg{position:fixed;bottom:70px!important}
.prc-publisher-box .prc-add-emoticons .prc-wo_emoji_post{min-width:calc(100vw - 65px)}
.prc-wo_send_gift .prc-gift-data {flex: 0 0 50%;width: 50%;}
#wo_nw_msg_page .prc-messages-container .prc-message-media img {max-height: 140px;}
#head_menu_rght .prc-sixteen-font-size {padding: 12px 7px;}
}

@media (max-width:360px) {
.prc-nav.prc-navbar-nav.prc-navbar-right>li>a{padding:10px 5px}
.prc-wo_loading_post_child{transform:scale(.6);margin:-55px -100px}
}

@media (max-width:345px) {
/*.prc-nav.prc-navbar-nav.prc-navbar-right{width:100%;text-align:center}*/
.prc-nav.prc-navbar-nav.prc-navbar-right>li:first-child{display:inline-block}
#wo_nw_msg_page .prc-messages-container .prc-message-media img {max-height: 110px;}
.prc-reactions-box {width: 148px;top: -100px;}
.prc-post .prc-post-footer .prc-comments-list .prc-comment .prc-comment-body .prc-reactions-box {top: -100px;}
.prc-post .prc-post-footer .prc-comments-list .prc-reply .prc-comment-body .prc-reactions-box {left: -30px;}
}

@media (max-width:320px) {
.prc-publisher-box .prc-btn-default{padding:5px 0}
.prc-publisher-box #publisher-button{font-size:15px}
.prc-publisher-box .prc-publisher-hidden-option select{font-size:11px;height:30px;margin-right:0;padding:0 2px}
.dropdown{padding-left:10px}
.prc-navbar-nav>li>a{line-height:24px!important;padding:10px 5px}
.prc-wo_loading_post_child{transform:scale(.5);margin:-75px -130px}
.prc-wo_send_gift .prc-gift-data, .prc-user_media_list_section .prc-photo-data, .prc-user_media_list_section .prc-video-data {flex: 0 0 100%;width: 100%;}
}

.prc-unselectable {
    -webkit-touch-callout: none;
    -webkit-user-select: none;
    -khtml-user-select: none;
    -moz-user-select: none;
    -ms-user-select: none;
    user-select: none;
}

.prc-group_chat_avatar__{width:100%;max-height:137px;overflow:hidden;margin:0 0 20px}
.prc-group_chat_avatar__ img{max-width:100%;max-height:100%}
.prc-image_blur{filter: blur(10px);}
.prc-image_blur_btn{position: absolute;top: 50%;left: 50%;transform: translate(-50%,-50%);z-index:1;}
.prc-blur_multi_images{position: absolute;z-index: 2;height: 100%;}
.prc-verify_color{color: #2b982b;}
.prc-unverify_color{color: #fb483a;}

.prc-bs-callout {
	padding: 5px 10px;
    margin: 0 0 10px;
    border: 1px solid;
    border-radius: 5px;
}
.prc-bs-callout .prc-post-heading .prc-title .prc-main-color {
	color: #565656 !important;
}
.prc-bs-callout h4 {
  margin-top: 0;
  margin-bottom: 5px;
}
.prc-bs-callout p:last-child {
  margin-bottom: 0;
}
.prc-bs-callout code {
  border-radius: 3px;
}
.prc-bs-callout+.prc-bs-callout {
  margin-top: -5px;
}
.prc-bs-callout-default {
	border-color: #e2e2e2;
}
.prc-bs-callout-default h4 {
  color: #777;
}
.prc-bs-callout-primary {
  border-left-color: #428bca;
}
.prc-bs-callout-primary h4 {
  color: #428bca;
}
.prc-bs-callout-success {
  border-left-color: #5cb85c;
}
.prc-bs-callout-success h4 {
  color: #5cb85c;
}
.prc-bs-callout-danger {
  border-left-color: #d9534f;
}
.prc-bs-callout-danger h4 {
  color: #d9534f;
}
.prc-bs-callout-warning {
  border-left-color: #f0ad4e;
}
.prc-bs-callout-warning h4 {
  color: #f0ad4e;
}
.prc-bs-callout-info {
  border-left-color: #5bc0de;
}
.prc-bs-callout-info h4 {
  color: #5bc0de;
}
.prc-pro_packages_icon{display: block !important;margin: auto !important;width: 32px !important;height: 32px !important;margin-bottom: 13px !important;}
.prc-pro_packages_icon_inline{margin: auto;width: 20px;height: 20px;margin-bottom: 5px;}
#user-last-seen .prc-online-text{color: #B6B6B6 !important;}
.prc-fluid_video_wrapper.prc-fluid_player_layout_default:-ms-fullscreen video{width: 100% !important;height: 100% !important;max-height: 100% !important;}
.prc-fluid_video_wrapper.prc-fluid_player_layout_default:-ms-fullscreen {top: 0;left: 0;}
.prc-gender_icon{display: block !important;margin: auto !important;width: 20px !important;height: 20px !important;}
.prc-reaction img {width: 100%;height: 100%;object-fit: cover;}
.prc-vid_analts_stat {
  display: flex;
  align-items: center;
  padding: 17px 17px 15px;
  border-radius: 7px;
  color: #fff;
  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.1);
}
.prc-vid_analts_stat > svg {
    margin-right: 17px;
    margin-top: 0px;
    width: 30px;
    height: 30px;
}
.prc-vid_analts_stat h2 {
    font-size: 12px;
    line-height: 16px;
    letter-spacing: 0.011em;
    margin-top: 0;
    margin-bottom: 3px;
}
.prc-vid_analts_stat p {
    font-size: 24px;
    line-height: 32px;
    margin-bottom: 0;
}
.prc-live_link_style{position: absolute;top: 0;bottom: 0;width: 100%;right: 0;left: 0;z-index: 10;}
.prc-end_video_text{margin-bottom: 150px;
    color: #c6c6c6;}
.prc-background_image_product{
	background-size: cover;
    background-repeat: no-repeat;
    background-position: 50% 50%;
    width: 100%;
    height: 100%;
}
.prc-header-message{
  text-overflow: ellipsis;
  overflow: hidden;
  width: 260px;
  height: 20px;
  white-space: nowrap;
}
.prc-like-story-lightbox.prc-active svg{color: #1da1f2;}

repository: payrgorupsk/wonder

repo_name: payrgorupsk/wonder


text:
include(vcpkg_common_functions)

if(VCPKG_CMAKE_SYSTEM_NAME STREQUAL "Darwin")
  set(VCPKG_POLICY_EMPTY_PACKAGE enabled)
  message(WARNING "You do not need this package on macOS, since you already have the Accelerate Framework")
  return()
endif()

if(NOT VCPKG_TARGET_ARCHITECTURE STREQUAL "x64")
    message(FATAL_ERROR "openblas can only be built for x64 currently")
endif()

if(VCPKG_CMAKE_SYSTEM_NAME  STREQUAL "Linux")
  set(ADDITIONAL_PATCH "enable_underscore.patch")
endif()

if(VCPKG_LIBRARY_LINKAGE STREQUAL static)
  set(NO_SHARED 1)
endif()
if(VCPKG_LIBRARY_LINKAGE STREQUAL dynamic)
  set(NO_STATIC 1)
endif()

vcpkg_from_github(
    OUT_SOURCE_PATH SOURCE_PATH
    REPO xianyi/OpenBLAS
    REF v0.3.6
    SHA512 1ad980176a51f70d8b0b2d158da8c01f30f77b7cf385b24a6340d3c5feb1513bd04b9390487d05cc9557db7dc5f7c135b1688dec9f17ebef35dba884ef7ddee9
    HEAD_REF develop
    PATCHES
        uwp.patch
        fix_space_path.patch
        ${ADDITIONAL_PATCH}
)

find_program(GIT NAMES git git.cmd)

# sed and awk are installed with git but in a different directory
get_filename_component(GIT_EXE_PATH ${GIT} DIRECTORY)
set(SED_EXE_PATH "${GIT_EXE_PATH}/../usr/bin")

# openblas require perl to generate .def for exports
vcpkg_find_acquire_program(PERL)
get_filename_component(PERL_EXE_PATH ${PERL} DIRECTORY)
set(ENV{PATH} "$ENV{PATH};${PERL_EXE_PATH};${SED_EXE_PATH}")

set(COMMON_OPTIONS -DBUILD_WITHOUT_LAPACK=ON)

# for UWP version, must build non uwp first for helper
# binaries.
if(VCPKG_CMAKE_SYSTEM_NAME  STREQUAL "WindowsStore")
    message(STATUS "Building Windows helper files")
    set(TEMP_CMAKE_SYSTEM_NAME "${VCPKG_CMAKE_SYSTEM_NAME}")
    set(TEMP_CMAKE_SYSTEM_VERSION "${VCPKG_CMAKE_SYSTEM_VERSION}")
    set(TEMP_TARGET_TRIPLET "${TARGET_TRIPLET}")
    unset(VCPKG_CMAKE_SYSTEM_NAME)
    unset(VCPKG_CMAKE_SYSTEM_VERSION)
    set(TARGET_TRIPLET "x64-windows")

    vcpkg_configure_cmake(
        SOURCE_PATH ${SOURCE_PATH}
        OPTIONS
            ${COMMON_OPTIONS}
            -DTARGET=NEHALEM
    )

    # add just built path to environment for gen_config_h.exe,
    # getarch.exe and getarch_2nd.exe
    set(ENV{PATH} "$ENV{PATH};${CURRENT_BUILDTREES_DIR}/${TARGET_TRIPLET}-rel")

    # restore target build information
    set(VCPKG_CMAKE_SYSTEM_NAME "${TEMP_CMAKE_SYSTEM_NAME}")
    set(VCPKG_CMAKE_SYSTEM_VERSION "${TEMP_CMAKE_SYSTEM_VERSION}")
    set(TARGET_TRIPLET "${TEMP_TARGET_TRIPLET}")

    message(STATUS "Finished building Windows helper files")

    vcpkg_configure_cmake(
        SOURCE_PATH ${SOURCE_PATH}
        OPTIONS
            ${COMMON_OPTIONS}
            -DCMAKE_SYSTEM_PROCESSOR=AMD64
            -DVS_WINRT_COMPONENT=TRUE
            "-DBLASHELPER_BINARY_DIR=${CURRENT_BUILDTREES_DIR}/x64-windows-rel")

elseif(NOT VCPKG_CMAKE_SYSTEM_NAME)
    vcpkg_configure_cmake(
        SOURCE_PATH ${SOURCE_PATH}
        OPTIONS
            ${COMMON_OPTIONS})
else()
    vcpkg_configure_cmake(
        SOURCE_PATH ${SOURCE_PATH}
        OPTIONS
            ${COMMON_OPTIONS}
            -DTARGET=SANDYBRIDGE
            -DCMAKE_SYSTEM_PROCESSOR=AMD64
            -DBINARY=64
            -DNO_SHARED=${NO_SHARED}
            -DNO_STATIC=${NO_STATIC}
            -DNOFORTRAN=ON)
endif()

vcpkg_install_cmake()
vcpkg_fixup_cmake_targets(CONFIG_PATH share/cmake/OpenBLAS)
#we install a cmake wrapper since the official FindBLAS thinks that OpenBLAS can solve also LAPACK libraries, while it cannot because we disabled it and we use CLAPACK... maybe we have to trigger finding one package when requesting the other and vice-versa. Wrappers should be ready also to avoid an infinite loop
file(INSTALL ${CMAKE_CURRENT_LIST_DIR}/vcpkg-cmake-wrapper.cmake DESTINATION ${CURRENT_PACKAGES_DIR}/share/blas)
vcpkg_copy_pdbs()

file(REMOVE_RECURSE ${CURRENT_PACKAGES_DIR}/debug/include ${CURRENT_PACKAGES_DIR}/debug/share)

file(INSTALL ${SOURCE_PATH}/LICENSE DESTINATION ${CURRENT_PACKAGES_DIR}/share/openblas RENAME copyright)

license: MIT

repository: lennonwoo/vcpkg

license_type: permissive

repo_name: lennonwoo/vcpkg

branch_name: refs/heads/master

gha_license_id: NOASSERTION

extension: cmake


text:
DESCRIPTION = "Clock setting descriptions for Matrix v2"
HOMEPAGE = "https://gforge.ti.com/gf/project/matrixguiv2apps/"
LICENSE = "CC-BY-SA"

inherit allarch

SRC_URI = "https://gforge.ti.com/gf/download/frsrelease/673/5096/clocks_1.1.tar.gz"

S = ${WORKDIR}/clocks

require matrix-gui-apps.inc

# Make sure power submenu has been installed
RDEPENDS +=  matrix-gui-submenus-power

# Break out the individual files into separate packages.  That way only the
# clocks supported for each device can be installed.  Prepend the list so
# that we can get the files in ${bindir} first
PACKAGES =+ "${PN}-300mhz ${PN}-600mhz ${PN}-800mhz ${PN}-1ghz"

# Split the matrix files by clock
FILES_${PN}-300mhz += "${MATRIX_APP_DIR}/power_set_300mhz/*"
FILES_${PN}-600mhz += "${MATRIX_APP_DIR}/power_set_600mhz/*"
FILES_${PN}-800mhz += "${MATRIX_APP_DIR}/power_set_800mhz/*"
FILES_${PN}-1ghz += "${MATRIX_APP_DIR}/power_set_1ghz/*"

# Split the ${bindir} files by clock
FILES_${PN}-300mhz += "${bindir}/setopp2.sh"
FILES_${PN}-600mhz += "${bindir}/setopp3.sh"
FILES_${PN}-800mhz += "${bindir}/setopp4.sh"
FILES_${PN}-1ghz += "${bindir}/setopp1.sh"

SRC_URI[md5sum] = "6d50592e364f39d7ed3b2805e6c227cb"
SRC_URI[sha256sum] = "ab51df1651a391e3f6a947faccf45354ef187508c65cb3de92cc9fef88206e65"

repository: kergoth/meta-ti

repo_name: kergoth/meta-ti

extension: bb


text:
DESCRIPTION = "Minimalistic terminal program for communicating with devices over a serial connection"
HOMEPAGE = "https://github.com/pengutronix/microcom"
LICENSE = "GPL-2.0-or-later"
LIC_FILES_CHKSUM = "file://COPYING;md5=c9f7c009791eaa4b9ca90dc4c9538d24"
DEPENDS = "readline"

SRC_URI = "https://github.com/pengutronix/microcom/releases/download/v${PV}/microcom-${PV}.tar.xz"
SRC_URI[sha256sum] = "87e6bacc545d110ae2bc4443e29d7ccac3c5737a40056d6eef1231e3d8667210"

EXTRA_OECONF = "--enable-largefile"

inherit autotools update-alternatives

PACKAGECONFIG ??= ""
PACKAGECONFIG[can] = "--enable-can,--disable-can"

# higher priority than busybox' microcom
ALTERNATIVE:${PN} = "microcom"
ALTERNATIVE_PRIORITY[microcom] = "100"

repository: pengutronix/meta-ptx

repo_name: pengutronix/meta-ptx

gha_license_id: MIT

gha_language: BitBake


text:
@book{mitchell1997a,
    title = {{Machine Learning}},
    year = {1997},
    author = {Mitchell, Thomas M},
    edition = {1},
    publisher = {McGraw-Hill, Inc.},
    address = {New York, NY, USA},
    isbn = {0070428077, 9780070428072}
}

@book{russel2003,
    title = {{Artificial Intelligence: A Modern Approach}},
    year = {2003},
    author = {Russell, Stuart J and Norvig, Peter},
    edition = {2},
    publisher = {Pearson Education},
    isbn = {0137903952}
}

@misc{Dfass2006,
    title = {{Version Space Learning}},
    year = {2006},
    booktitle = {Wikipedia},
    author = {{Wikipedia: The Free Encyclopedia}},
    pages = {https://en.wikipedia.org/wiki/Version{\_}space{\_}learni},
    url = {https://commons.wikimedia.org/wiki/File%3AVersion_space.png}
}

@misc{WikiVCDim,
    title = {{VC dimension}},
    year = {2012},
    booktitle = {Wikipedia},
    author = {{Wikipedia: The Free Encyclopedia}},
    pages = {https://en.wikipedia.org/wiki/VC{\_}dimension},
    url = {https://en.wikipedia.org/wiki/VC_dimension#/media/File:VC2.svg}
}

@misc{WikiOverfitting,
    title = {{Overfitting}},
    year = {2016},
    booktitle = {Wikipedia},
    author = {Encyclopedia, Wikipedia: The Free},
    pages = {https://en.wikipedia.org/wiki/Overfitting},
    url = {https://en.wikipedia.org/wiki/Overfitting#/media/File:Overfitted_Data.png}
}

@article{VapnikV.N.Chervonenkis1971,
    title = {{On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities}},
    year = {1971},
    journal = {Theory of Probability {\&} Its Applications},
    author = {Vapnik, V.N., Chervonenkis, A. Ya.},
    pages = {264},
    volume = {16}
}

gha_language: TeX

extension: bib


text:
DESCRIPTION = "Runs a shell in an environment as emitted by BitBake to execute tasks"
LICENSE = "GPL"

PR = "r1"

inherit autotools pkgconfig

require ti-paths.inc

do_configure() {
	:
}

def tidevshell_emit_env(o, d, all=False, funcwhitelist=None):
    """Emits all items in the data store in a format such that it can be sourced by a shell."""

    env = bb.data.keys(d)

    for e in env:
        if bb.data.getVarFlag(e, "func", d):
            continue
        bb.data.emit_var(e, o, d, all) and o.write('\n')

    for e in env:
        if not bb.data.getVarFlag(e, "func", d):
            continue
        if not funcwhitelist:
            bb.data.emit_var(e, o, d) and o.write('\n')
            continue
        for i in funcwhitelist:
            if e.startswith(i):
                bb.data.emit_var(e, o, d) and o.write('\n')
                break

python do_compile() {
	import os
	import os.path

	workdir = bb.data.getVar('WORKDIR', d, 1)
	shellfile = os.path.join(workdir, bb.data.expand("${TARGET_PREFIX}${DISTRO}-${MACHINE}-ti-devshell", d))

	f = open(shellfile, "w")

	# emit variables and shell functions
        tidevshell_emit_env(f, d, False, ["die", "oe", "autotools_do_configure"])

	f.close()
}

do_install() {
	:
}

PACKAGE_ARCH = "${MACHINE_ARCH}"

do_deploy() {
	shellfile="${TARGET_PREFIX}${DISTRO}-${MACHINE}-ti-devshell"

	cd ${WORKDIR}

	cp $shellfile tmpfile
	echo "#!/bin/bash --rcfile" > $shellfile
	sed -e "s:${S}:.:g" -e "s:exit 1:true:" tmpfile >> $shellfile

	echo "export PS1='[OE::${TARGET_PREFIX}${DISTRO}-${MACHINE}]:\w\$ '" >> $shellfile
	echo "alias ./configure=oe_runconf" >> $shellfile
	echo "alias make=oe_runmake" >> $shellfile

	mkdir -p ${DEPLOY_DIR}/addons
	install -m 755 $shellfile ${DEPLOY_DIR}/addons
}

addtask deploy after do_install before do_package

repository: overo/overo-oe-natty

repo_name: overo/overo-oe-natty

branch_name: HEAD


text:
HOMEPAGE = "http://www.packagekit.org/"
DEPENDS = "libpam expat dbus-glib"

PR = "r3"

SRC_URI = "http://hal.freedesktop.org/releases/PolicyKit-${PV}.tar.gz"

EXTRA_OECONF = "--with-authfw=pam --with-os-type=moblin --disable-man-pages --disable-gtk-doc"

S = "${WORKDIR}/PolicyKit-${PV}"

inherit autotools pkgconfig

do_stage() {
        autotools_stage_all
}

FILES_${PN} += " ${datadir}/dbus-1 \
                 ${datadir}/PolicyKit \
               "

pkg_postinst_${PN} () {
    # can't do this offline
    if [ "x$D" != "x" ]; then
        exit 1
    fi
    grep "^polkituser:" /etc/group > /dev/null || addgroup polkituser
    grep "^polkituser:" /etc/passwd > /dev/null || adduser --disabled-password --system --home /var/run/polkit polkituser --ingroup polkituser -g polkituser
    DBUSPID=`pidof dbus-daemon`
    if [ "x$DBUSPID" != "x" ]; then
        /etc/init.d/dbus-1 force-reload
    fi
}

pkg_postrm_${PN} () {
    deluser polkituser || true
    delgroup polkituser || true
}


text:
@InProceedings{pmlr-v15-glorot11a,
  title = 	 {Deep Sparse Rectifier Neural Networks},
  author = 	 {Xavier Glorot and Antoine Bordes and Yoshua Bengio},
  booktitle = 	 {Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics},
  pages = 	 {315--323},
  year = 	 {2011},
  editor = 	 {Geoffrey Gordon and David Dunson and Miroslav Dudík},
  volume = 	 {15},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {Fort Lauderdale, FL, USA},
  month = 	 {11--13 Apr},
  publisher = 	 {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v15/glorot11a/glorot11a.pdf},
  url = 	 {http://proceedings.mlr.press/v15/glorot11a.html},
  abstract = 	 {While logistic sigmoid neurons are more biologically plausible than hyperbolic tangent neurons, the latter work better for training multi-layer neural networks. This paper shows that rectifying neurons are an even better model of biological neurons and yield equal or better performance than hyperbolic tangent networks in spite of the hard non-linearity and non-differentiability at zero, creating sparse representations with true zeros which seem remarkably suitable for naturally sparse data. Even though they can take advantage of semi-supervised setups with extra-unlabeled data, deep rectifier networks can reach their best performance without requiring any unsupervised pre-training on purely supervised tasks with large labeled datasets. Hence, these results can be seen as a new milestone in the attempts at understanding the difficulty in training deep but purely supervised neural networks, and closing the performance gap between neural networks learnt with and without unsupervised pre-training. [pdf]}
}

@BOOK{geron,
  TITLE = {Hands-On Machine Learning with Scikit-Learn and TensorFlow},
  SUBTITLE = {Concepts, Tools, and Techniques to Build Intelligent Systems},
  AUTHOR = {Aurélien Géron},
  YEAR = {2017},
  PUBLISHER = {O'Reilly Media},
}


text:
file(REMOVE_RECURSE
  "CMakeFiles/qb_move_control.dir/src/main.cpp.o"
  "CMakeFiles/qb_move_control.dir/src/qb_move_control.cpp.o"
  "/home/riccardo/catkin_ws/devel/lib/qb_move_control/qb_move_control.pdb"
  "/home/riccardo/catkin_ws/devel/lib/qb_move_control/qb_move_control"
)

# Per-language clean rules from dependency scanning.
foreach(lang CXX)
  include(CMakeFiles/qb_move_control.dir/cmake_clean_${lang}.cmake OPTIONAL)
endforeach()


text:
@article{gershman2015-computationalRationality,
  title={Computational rationality: A converging paradigm for intelligence in brains, minds, and machines},
  author={Gershman, Samuel J and Horvitz, Eric J and Tenenbaum, Joshua B},
  journal={Science},
  volume={349},
  number={6245},
  pages={273--278},
  year={2015},
  publisher={American Association for the Advancement of Science}
}

@inbook{newell1981-skillAcquisitionAndLawOfPractice,
  chapter={Mechanisms of skill acquisition and the law of practice},
  title={Cognitive skills and their acquisition},
  author={Newell, Allen and Rosenbloom, Paul S and Anderson, John R},
  publisher={Psychology Press},
  pages={1--55},
  year={1981}
}

@book{bishop2006-PRML,
  title={Pattern recognition and machine learning},
  author={Bishop, Christopher M},
  year={2006},
  publisher={springer},
}

@book{bishop2006-PRMLsolutions,
  title={Pattern recognition and machine learning. Solutions to exercises.},
  author={Svens\'en, Markus and Bishop, Christopher M},
  year={2006},
  publisher={springer},
}

@misc{bishop2011-PRMLerrata,
  title={Pattern Recognition and Machine Learning. Errata and Additional Comments},
  author={Svens\'en, Markus and Bishop, Christopher M},
  year={2011},
}

@misc{conrad2004-maximumEntropy,
  title={Probability distributions and maximum entropy},
  author={Conrad, Keith},
  pages={26},
  year={2004},
}

@article{cox1946-reasonableExpectation,
  title={Probability, frequency and reasonable expectation},
  author={Cox, Richard T},
  journal={American journal of physics},
  volume={14},
  number={1},
  pages={1--13},
  year={1946},
  publisher={AAPT},
}

@book{davidson2018-bayesianForHackers,
  title={Bayesian methods for hackers: probabilistic programming and Bayesian inference},
  author={Davidson-Pilon, Cameron},
  year={2018},
  publisher={Addison-Wesley Professional},
}

@book{deisenroth2019Draft-mathematicsForMachineLearning,
  title={Mathematics for Machine Learning}
  author={Deisenroth, Marc and et.al.}
  year={2019}
  publisher={Cambridge University Press}
}

@article{halpern1999-counterExampleCoxTheorem,
  title={A counter example to theorems of Cox and Fine},
  author={Halpern, Joseph Y},
  journal={Journal of Artificial Intelligence Research},
  volume={10},
  pages={67--85},
  year={1999},
}

@article{halpern1999-coxTheoremRevisited,
  title={Cox's Theorem revisited},
  author={Halpern, Joseph Y},
  journal={Journal of Artificial Intelligence Research},
  volume={11},
  pages={429--435},
  year={1999},
}

@article{herbrich2006-trueskill,
Publisher = {MIT Press},
Author = {Herbrich,Ralf  and Minka, Ralf  and Graepel, Thore},
Booktitle = {Advances in Neural Information Processing Systems 19},
Title = {TrueSkill: A Bayesian Skill Rating System},
Year = {2006},
Editor = {B. Scholkopf and J. Platt and T. Hoffman},
Address = {Cambridge, MA},
Pages = {569--576}
}

@misc{dyatlov2010-basicMatrixOperations,
  title={Properties of matrix operations}
  author={Dyatlov, Semyon}
  year={2010}
  publisher={Massachusetts Institute of Technology},
}

@article{jaynes1957-informationTheoryAndStatisticalMechanics,
  title={Information theory and statistical mechanics},
  author={Jaynes, Edwin T},
  journal={Physical review},
  volume={106},
  number={4},
  pages={620},
  year={1957},
  publisher={APS},
}

@misc{jaynes1984-bayesianBackground,
  title={Bayesian methods: General background},
  author={Jaynes, Edwin T},
  year={1984},
  publisher={Fourth Annual Workshop on Bayesian/Maximum Entropy Methods},
}

@book{jaynes2003-bookProbabilityTheory,
  title={Probability theory: The logic of science},
  author={Jaynes, Edwin T},
  year={2003},
  publisher={Cambridge university press},
}

@article{knox2020-racialShootBayes,
  title={Making inferences about racial disparities in police violence},
  author={Knox, Dean and Mummolo, Jonathan},
  journal={Proceedings of the National Academy of Sciences},
  volume={117},
  number={3},
  pages={1261--1262},
  year={2020},
  publisher={National Acad Sciences},
}

@book{kotz2001-laplace,
  title={The Laplace distribution and generalizations: a revisit with applications to communications, economics, engineering, and finance},
  author={Kotz, Samuel and Kozubowski, Tomasz and Podgorski, Krzystof},
  year={2001},
  publisher={Birkhuser Basel},
}

@article{kschischang2001-factorGraphsAndTheSumProductAlgorithm,
  title={Factor graphs and the sum-product algorithm},
  author={Kschischang, Frank R and Frey, Brendan J and Loeliger, H-A},
  journal={IEEE Transactions on information theory},
  volume={47},
  number={2},
  pages={498--519},
  year={2001},
  publisher={IEEE},
}

@book{laplace1820-probabilites,
  title={Th\'eorie analytique des probabilit\'es},
  author={Laplace, Pierre Simon},
  year={1820},
  publisher={Courcier},
}

@article{lee2014-graphicalModeling,
  title={Bayesian Cognitive Modeling: A Practical Course},
  author={Lee, Michael D and Wagenmakers, Eric-Jan},
  journal={CUP},
  year={2014},
}

@book{mackay2003-informationInferenceLearning,
  title={Information theory, inference and learning algorithms},
  author={MacKay, David JC and Mac Kay, David JC},
  year={2003},
  publisher={Cambridge university press},
}

@book{martin2016-bayesianAnalysisWithPython,
  title={Bayesian Analysis with Python},
  author={Martin, Osvaldo},
  year={2016},
  publisher={Packt Publishing Ltd},
}

@book{mcelreath2015-statisticalRethinking,
  title={Statistical rethinking: A Bayesian course with examples in R and Stan},
  author={McElreath, Richard},
  year={2018},
  publisher={Chapman and Hall/CRC},
}

@techreport{minka1998-bayesian,
  title={Bayesian linear regression},
  author={Minka, Thomas},
  year={1998 (revised 2010)},
}

@article{pearl1986fusion,
  title={Fusion, propagation, and structuring in belief networks},
  author={Pearl, Judea},
  journal={Artificial intelligence},
  volume={29},
  number={3},
  pages={241--288},
  year={1986},
  publisher={Elsevier},
}

@book{reichl2016-bookStatisticalPhysics,
  title={A modern course in statistical physics (4th edition)},
  author={Reichl, Linda E},
  year={2016},
  publisher={Wiley-Vch},
}

@article{shannon1948-theoryOfCommunication,
  title={A mathematical theory of communication},
  author={Shannon, Claude Elwood},
  journal={Bell system technical journal},
  volume={27},
  number={3},
  pages={379--423},
  year={1948},
  publisher={Wiley Online Library},
}

@misc{takada2019-morePRMLerrata,
  title={More PRML errata},
  author={Takada, Yousuke},
  year={2019},
}

@article{tenenbaum2011-howToGrowAMind,
  title={How to grow a mind: Statistics, structure, and abstraction},
  author={Tenenbaum, Joshua B and Kemp, Charles and Griffiths, Thomas L and Goodman, Noah D},
  journal={science},
  volume={331},
  number={6022},
  pages={1279--1285},
  year={2011},
  publisher={American Association for the Advancement of Science},
}

@techreport{tu2014-dirichletMultinomialCategorical,
  title={The dirichlet-multinomial and dirichlet-categorical models for bayesian inference},
  author={Tu, Stephen},
  journal={Computer Science Division, UC Berkeley},
  year={2014},
}

@article{vanHorn2003-guideCoxTheorem,
  title={Constructing a logic of plausible inference: a guide to cox’s theorem},
  author={Van Horn, Kevin S},
  journal={International Journal of Approximate Reasoning},
  volume={34},
  number={1},
  pages={3--24},
  year={2003},
  publisher={Elsevier},
}

@techreport{wu2004-propertiesGaussian,
  title={Some properties of the Gaussian distribution},
  author={Wu, Jianxin},
  journal={Atlanta, GA: Georgia Institute of Technology},
  year={2004},
}

@book{boyd1985-evolutionaryProcess,
  title={Culture and the evolutionary process},
  author={Boyd, Robert and Richerson, Peter J},
  year={1985},
  publisher={University of Chicago press}
}
i
@book{boyd2005-origin,
    author    = "Robert Boyd and Peter J. Richerson",
    title     = "The Origin and Evolution of Cultures",
    year      = "2005",
    publisher = "Oxford University Press"
}

@article{boyd2011-culturalNiche,
  title={The cultural niche: Why social learning is essential for human adaptation},
  author={Boyd, Robert and Richerson, Peter J and Henrich, Joseph},
  journal={Proceedings of the National Academy of Sciences},
  volume={108},
  number={2},
  pages={10918--10925},
  year={2011},
  publisher={National Acad Sciences},
}

@article{firth2019-animalNetworksContagions,
  title={Considering complexity: animal social networks and behavioural contagions},
  author={Firth, Josh A},
  journal={Trends in Ecology \& Evolution},
  year={2019},
  publisher={Elsevier},
}

@article{haaland2020-generalistsVsSpecialist,
  title={Generalists versus specialists in fluctuating environments: a bet-hedging perspective},
  author={Haaland, Thomas Ray and Wright, Jonathan and Ratikainen, Irja Ida},
  journal={Oikos},
  year={2020},
  publisher={Wiley Online Library},
}

@article{pinker2010-cognitiveNiche,
  title={The cognitive niche: Coevolution of intelligence, sociality, and language},
  author={Pinker, Steven},
  journal=PNAS,
  volume={107},
  number={Supplement 2},
  pages={8993--8999},
  year={2010},
  publisher={National Acad Sciences}
}

@article{nowak2006-rulesForCooperation,
  author =       "Martin A. Nowak",
  title =        "Five rules for the evolution of cooperation",
  journal =      "Science",
  note = 	"Review",
  volume =       "314",
  number =       "5805",
  pages =        "1560-1563",
  year =         "2006",
}

@article{nowak2010-eusociality,
  title={The evolution of eusociality},
  author={Nowak, Martin A and Tarnita, Corina E and Wilson, Edward O},
  journal={Nature},
  volume={466},
  number={7310},
  pages={1057--1062},
  year={2010},
  publisher={Nature Publishing Group}
}

@article{yaari2010-cooperationEvolution,
  title={Cooperation evolution in random multiplicative environments},
  author={Yaari, Gur and Solomon, Sorin},
  journal={The European Physical Journal B},
  volume={73},
  number={4},
  pages={624--632},
  year={2010},
  publisher={Springer},
}

@article{wilkinson2016fair,
  title={The FAIR Guiding Principles for scientific data management and stewardship},
  author={Wilkinson, Mark D and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E and others},
  journal={Scientific data},
  volume={3},
  year={2016},
  publisher={Nature Publishing Group},
}

Euclid (3rd C BC) - geometric mean < arithmetic mean
Cardano (1560s) - big gambling losses
Boltzmann (1870s) - time averages differ from expectations values
Whitworth (1867) - long-term multiplicative gambling realizes geometric mean
Ito (1944) - non-linear functions of fluctuations have non-linear temporal effects
Kelly (1956) - long-term growth rates in sports betting
Atkinson (1969) - ergodic time scales for economic models
Thorpe (1960s) - long-term growth rates, blackjack, portfolio theory
Cover (1980s/90s) - long-term optimized portfolios
Fernholz (1982) - optimize long-term growth rates
Kacelnik (1997) - discounting from time-average growth rates
Marsili, Maslov, Zhang (1998) - portfolios with redistribution (RGBM)
Bouchaud, Mezard (2000) - wealth condensation over time
Yaari, Solomon (2010) - cooperation from long-term growth optimization

Explore the less common dynamics, for instance Cramer dynamics. What’s the optimal leverage here? Hint: what exactly does it mean to leverage or “keep money safe” under this dynamic? Fun because it’s neither linear nor Kelly. https://arxiv.org/abs/1801.03680

@article{peters2011-timeResolutionStPetersburgParadox,
  title={The time resolution of the St Petersburg paradox},
  author={Peters, Ole},
  journal={Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
  volume={369},
  number={1956},
  pages={4913--4931},
  year={2011},
  publisher={The Royal Society Publishing}
}

@article{peters2015-evolutionaryAdvantageOfCooperation,
  title={An evolutionary advantage of cooperation},
  author={Peters, Ole and Adamou, Alexander},
  journal={arXiv preprint arXiv:1506.03414},
  year={2015},
}

@article{adamou2016-dynamicsOfInequality,
  title={Dynamics of inequality},
  author={Adamou, Alexander and Peters, Ole},
  journal={Significance},
  volume={13},
  number={3},
  pages={32--35},
  year={2016},
  publisher={Wiley Online Library},
}

@article{peters2016-gamblesDynamics,
  title={Evaluating gambles using dynamics},
  author={Peters, Ole and Gell-Mann, Murray},
  journal={Chaos: An Interdisciplinary Journal of Nonlinear Science},
  volume={26},
  number={2},
  pages={023103},
  year={2016},
  publisher={AIP Publishing LLC},
}

@article{peters2019-ergodicityEconomics,
  title={The ergodicity problem in economics},
  author={Peters, Ole},
  journal={Nature Physics},
  volume={15},
  number={12},
  pages={1216--1221},
  year={2019},
  publisher={Nature Publishing Group},
}

@article{meder2019-ergodicityBreaking,
  title={Ergodicity-breaking reveals time optimal economic behavior in humans},
  author={Meder, David and Rabe, Finn and Morville, Tobias and Madsen, Kristoffer H and Koudahl, Magnus T and Dolan, Ray J and Siebner, Hartwig R and Hulme, Oliver J},
  journal={arXiv preprint arXiv:1906.04652},
  year={2019},
}

@inproceedings{landfried2009-theoryOfAggregation,
  title={A Specialzation of the Landscape Theory of Aggregation},
  author={Landfried, Gustavo},
  booktitle={VIII Reunión de Antropología del Mercosur},
  year={2009}
}

@mastersthesis{landfried2013-relationalDecisionMaking,
  title={Relational decision making. Models in Social Science},
  author={Landfried, Gustavo},
  school={Universidad de Buenos Aires},
  year={2013}
}

@article{landfried2019-faithfulness,
  title={Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games},
  author={Landfried, Gustavo and Slezak, Diego Fernandez and Mocskos, Esteban},
  journal={PloS one},
  volume={14},
  number={3},
  year={2019},
  publisher={Public Library of Science},
}

@article{landfried2019-trueskillTechnicalReport,
  title={TrueSkill: Technical Report. Supplementary Information 2.},
  author={Landfried, Gustavo},
  year={2019},
  journal={PLoS one},
  publisher={Public Library of Science}
}

@article{landfried2019-conquerClub,
  title = {Conquer Club dataset: an RISK type game},
  author = {Landfried, G},
  year = {2019},
  journal={Dryad},
  publisher = {Dryad Digital Repository},
  doi={10.5061/dryad.888gm50}
}

@misc{landfried-repo:trueskill.py,
  author = {Landfried, Gustavo},
  title = {Repository: trueskill.py},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/glandfried/trueskill.py}}
}

@misc{landfried-repo:moves-ogs-dataset,
  author = {Landfried, Gustavo},
  title = {Repository: moves-ogs-dataset},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/glandfried/moves-ogs-dataset}}
}

@misc{landfried-repo:output-ogs-dataset,
  author = {Landfried, Gustavo},
  title = {Repository: output-ogs-dataset},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/glandfried/output-ogs-dataset}}
}

@misc{landfried-aiLab,
  author = {Artificial Intelligence Laboratory},
  title = {Departamento de Computaci\'on, Facultad de Ciencias Exactas y Naturales},
  publisher = {Universidad de Buenos Aires - Argentina},
  howpublished={\url{https://liaa.dc.uba.ar}}
}

@misc{landfried-hpcLab,
  author = {High Performance Computing Laboratory},
  title = {Departamento de Computaci\'on, Facultad de Ciencias Exactas y Naturales},
  publisher = {Universidad de Buenos Aires - Argentina},
  howpublished={\url{http://licar.dc.uba.ar/}}
}


text:
.name{
  font-family:roboto;
  font-size:27px;
}

.description{
  font-family:roboto;
  letter-spacing:7px;
  margin-top:-5px;
  padding-left:1px;

}

header{
  padding:30px 10px;
  display:flex;
  justify-content:space-between;
  align-items:center;
}

.right-header{
  font-family:roboto;
  font-size:18px;
}

header a{
  color:black;
  text-decoration:none;

}
header a:hover{
  color:#0584d1;
  text-decoration:none;
  cursor: pointer;
}

/* end of header css
-------------------------------------------------- */

/* h1 info
-------------------------------------------------- */

h1 .logo {
  font-size: 230%;
  font-family: 'Brush Script MT', cursive;
  width: 200px;
  margin-left: -20px;
}

h1 {
  color: white;
  text-align: center;
  margin-top: 4%;
  font-size: 412.5%;
}

h1 > small {
  display: block;
  color: white;
}
/* nav hover
-------------------------------------------------- */
li {
  list-style: none;
}

a {
  color: #33b5e5;
}

a:hover, a:focus {
  color: white;
  text-decoration: none;
}

#home {
  background-image: url("../img/webimage.png");
  width: 100%;
  background-size: cover;
}

#home nav {
  margin: 0 auto;
  width: 700px;
  padding-top: 80px;
}

#home nav ul {
  overflow: hidden;
}

#home nav ul li {
  width: 25%;
}

#home nav a {
  padding: 16px;
  padding-right: 30px;
  display: table-cell;
}

#home nav.fixed {
  position: fixed;
  top: 0;
  left: 0;
  width: 100%;
  background-color: black;
  z-index: 999;
  padding: 0;
  transition: background-color .8s;

}

#home nav.fixed ul {
    max-width: 700px;
  margin: 0 auto;
}

.overflow {
  overflow: hidden;
}

.overlay {
  background-color: rgba(4,14,22,.83);
  height: 100%;
  width: 100%;
  padding-bottom: 80px;
}

/* GLOBAL STYLES
-------------------------------------------------- */

/* Since positioning the image, we need to help out the caption */
.carousel-caption {
  z-index: 10;
  bottom: 3rem;
}

/* Featurettes
------------------------- */

.featurette-divider {
  margin: 5rem 0; /* Space out the Bootstrap <hr> more */
}

/* Thin out the marketing headings */
.featurette-heading {
  font-weight: 300;
  line-height: 1;
  letter-spacing: -.05rem;
}

/* RESPONSIVE CSS
-------------------------------------------------- */

@media (min-width: 40em) {
  .featurette-heading {
    font-size: 50px;
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}

@media (min-width: 62em) {
  .featurette-heading {
    margin-top: 7rem;
  }
}

/* Social
-------------------------------------------------- */

.noir {
  display: block;
  background-color: black;
  padding: 18px;
  border: 3px solid white;
}

.social-links {
  margin-top: 100px;
  overflow: hidden;
  padding: 0;
  display: table;
  margin: 0 auto;
  margin-top: 90px;
}

.social-links li {
  display: inline-table;
  margin-right: 10px;
}

.twitter {
  border-color: #55acee;
}

.linkedin {
  border-color: #0077b5;
}

.freecodecamp {
  border-color: #4a2b0f;
}

.twitter:hover {
  background-color: #55acee;
  transition: background-color .4s;
}

.linkedin:hover {
  background-color: #0077b5;
  transition: background-color .4s;
}

.github:hover {
  background-color: #284f6d;
  transition: background-color .4s;
}

.website:hover {
  background-color: #284f6d;
  transition: background-color .4s;
}

#about::before {
  height: 0px;
  width: 0px;
  border-left: 30px solid transparent;
  border-right: 30px solid transparent;
  border-top: 30px solid #131c23;
  margin: 0 auto;
  content: "";
  display: block;
}

/* tools */

}

.bodywrapper {
margin: 50px auto 0;
max-width: 800px;

font-family: "Expletus Sans", sans-serif;
}

.liclass{

    width: 50%;
    float: left;
    list-style-type: none;

    padding-right: 5.3333333%;
}

li:nth-child(even) { margin-bottom: 5em;}

h2 {
    margin: 0 0 1.5em;
    border-bottom: 1px solid #ccc;
    padding: 0 0 .25em;
}

#title {
  font-size: 1.5rem;
  font-weight: 300;
}

.icon {
  font-size: .9rem;
  display: inline-flex;
  background: #D8D8D8;
  border-radius: 3px;
  margin-right: 5px;
  margin-bottom: 15px;
}
.icon span {
  border-radius: 5px;
  padding: 3px 5px;
}

.react {
  background: #BAD5F5;
}
.react span::after {
  content: "React.js";
}

.express {
  background: #F2C986;
}
.express span::after {
  content: "Express";
}

.node {
  background: #E1C1C1;
}
.node span::after {
  content: "Node.js";
}

.python {
  background: #EADD86;
}
.python span::after {
  content: "Python";
}

.django {
  background: #AFEAE5;
}
.django span::after {
  content: "Django";
}

.card a {
  padding-right: 15px;
}

.github {
  color: #739150;
}

.status {
  color: #7699C2;
}

repository: kennashka/kennashka

repo_name: kennashka/kennashka

extension: css


text:
DESCRIPTION = "ctrlproxy is an IRC server with multiserver support."
SECTION = "console/network"
PRIORITY = "optional"
DEPENDS = "glib-2.0 libxml2 popt libpcre openssl"
PR = "r1"
LICENSE = "GPL"

SRC_URI = "http://sources.nslu2-linux.org/sources/ctrlproxy-2.6.2.tar.gz"
S = "${WORKDIR}/ctrlproxy-2.6.2/"

inherit autotools
# update-rc.d

#INITSCRIPT_NAME = "ctrlproxy"
#INITSCRIPT_PARAMS = "defaults 84"
# CONFFILES_${PN} = "${sysconfdir}/foo.conf"

# To fix this error in autotools_do_configure (which arises after a
# change to pkg-config pkg.m4):
#configure:314: error: possibly undefined macro: PKG_LIBS
do_configure() {
	oe_runconf
}

CFLAGS += "-L${STAGING_LIBDIR}"

#do_install() {
#	autotools_do_install
#	install -d ${D}${sysconfdir}
#	install -d ${D}${sysconfdir}/init.d
#	install -m 0644 ${S}contrib/foo.conf ${D}${sysconfdir}
#	install -m 0755 ${WORKDIR}/foo.init ${D}${sysconfdir}/init.d/foo
#}

SRC_URI[md5sum] = "37570a7f018f41d701cd29cd95b45241"
SRC_URI[sha256sum] = "c8c42cc08b9b462f9c497441dacde1eac71fd717195ddfbeac68141bd0ad95a8"


text:
@inproceedings{pizzuti20sparse,
 author = {Federico Pizzuti and
Michel Steuwer and
Christophe Dubach},
 booktitle = {29th International Conference on Compiler Construction},
 keywords = {reviewed},
 series = {CC@CGO},
 title = {Generating fast sparse matrix vector multiplication from a high level generic functional IR},
 year = {2020}
}

repository: cdubach/academic-kickstart

repo_name: cdubach/academic-kickstart


text:
require xl2tpd.inc

SRC_URI = "git://github.com/xelerance/xl2tpd.git;protocol=git;tag=v${PV} \
    file://fix-inline-functions-errors-with-gcc-5.x.patch \
"

repository: shr-distribution/meta-oe

repo_name: shr-distribution/meta-oe

branch_name: refs/heads/shr

gha_language: Objective-C


text:
body {
   margin: 0;
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a {
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}
a:hover,
a:focus {
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}

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}*/

.mini-toolbar {
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   background: #fff !important
}

.mini-grid-row .mini-grid-cell,
.mini-grid-row .mini-grid-headerCell,
.mini-grid-row .mini-grid-filterCell,
.mini-grid-summaryCell {
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}

.mini-panel-header {
   border-bottom: #f2f2f2 !important;
}

.mini-panel-header-inner {
   background: #f2f2f2 !important;
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}
/*
   .mini-panel-header-inner .mini-panel-title{
     display:block !important;
     width:100% !important;
     text-align:center !important
 }
*/

label {
   font-weight: normal !important;
}

/* GDH 2016.12.15---------------*/
.list-action-cannot{
  text-decoration:none;color:lightgrey;
}
.list-action-can{
  cursor:pointer;text-decoration:none;
}
/* ---------------GDH 2016.12.15*/


text:
SET(BEOS 1)

SET(CMAKE_DL_LIBS root be)
SET(CMAKE_C_COMPILE_OPTIONS_PIC "-fPIC")
SET(CMAKE_C_COMPILE_OPTIONS_PIE "-fPIE")
SET(CMAKE_SHARED_LIBRARY_C_FLAGS "-fPIC")
SET(CMAKE_SHARED_LIBRARY_CREATE_C_FLAGS "-nostart")
SET(CMAKE_SHARED_LIBRARY_RUNTIME_C_FLAG "-Wl,-rpath,")
SET(CMAKE_SHARED_LIBRARY_RUNTIME_C_FLAG_SEP ":")
SET(CMAKE_SHARED_LIBRARY_SONAME_C_FLAG "-Wl,-soname,")

INCLUDE(Platform/UnixPaths)
LIST(APPEND CMAKE_SYSTEM_PREFIX_PATH /boot/common)
LIST(APPEND CMAKE_SYSTEM_INCLUDE_PATH /boot/common/include)
LIST(APPEND CMAKE_SYSTEM_LIBRARY_PATH /boot/common/lib)
LIST(APPEND CMAKE_SYSTEM_PROGRAM_PATH /boot/common/bin)
LIST(APPEND CMAKE_PLATFORM_IMPLICIT_LINK_DIRECTORIES /boot/common/lib)
LIST(APPEND CMAKE_SYSTEM_INCLUDE_PATH /boot/develop/headers/3rdparty)
LIST(APPEND CMAKE_SYSTEM_LIBRARY_PATH /boot/develop/lib/x86)

IF(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)
  SET(CMAKE_INSTALL_PREFIX "/boot/common" CACHE PATH
    "Install path prefix, prepended onto install directories." FORCE)
ENDIF(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)


text:
Automatically generated by Mendeley Desktop 1.10.3
Any changes to this file will be lost if it is regenerated by Mendeley.

BibTeX export options can be customized via Preferences -> BibTeX in Mendeley Desktop

@article{Zonios2001,
abstract = {Noninvasive and real-time analysis of skin properties is useful in a wide variety of applications. In particular, the quantitative assessment of skin in terms of hemoglobin and melanin content, as well as in terms of its light scattering properties, is a challenging problem in dermatology. We present here a technique for examining human skin, based on the in vivo measurement of diffuse reflectance spectra in the visible and near-infrared ranges of the electromagnetic spectrum. Spectra were measured by means of a fiber optic probe, and they were analyzed using an analytical model of light diffusion in the skin. The results of the analysis indicate that it is possible to obtain quantitative information about hemoglobin and melanin content, as well as basic information regarding the scattering properties of the skin.},
author = {Zonios, George and Bykowski, Julie and Kollias, Nikiforos},
doi = {10.1046/j.0022-202x.2001.01577.x},
file = {:Users/GM/Downloads/zonios2001.pdf:pdf},
issn = {0022-202X},
journal = {The Journal of investigative dermatology},
keywords = {Biological,Fiber Optic Technology,Hemoglobins,Hemoglobins: analysis,Humans,Melanins,Melanins: analysis,Models,Near-Infrared,Near-Infrared: methods,Optical Fibers,Radiation,Scattering,Skin,Skin Pigmentation,Skin: chemistry,Spectroscopy},
month = dec,
number = {6},
pages = {1452--7},
pmid = {11886508},
title = {{Skin melanin, hemoglobin, and light scattering properties can be quantitatively assessed in vivo using diffuse reflectance spectroscopy.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/11886508},
volume = {117},
year = {2001}
}
@article{Stamatas2004,
abstract = {The chromatic characteristics of skin color arise from the interactions of light (primarily absorption and scattering) with the epidermis and the dermis. The primary light absorbers in skin are hemoglobin and melanin. Most of scattering is attributed to collagen fibers and in pigmented skin to melanosomes. Traditionally skin redness is considered to arise due to locally elevated concentrations of hemoglobin, whereas skin pigmentation is attributed to melanin. In this study we attempt to understand better the contributions of these chromophores to the perceived skin color using spectral analysis of skin color reactions induced by ultraviolet (UV) irradiation or pressure. In the first experiment 12 individuals with skin phototypes III-IV were irradiated on the back using a solar simulator with doses ranging from 0.7 to 3 MED. The skin reactions were evaluated on days 1, 7, 14, and 21 after irradiation. Evaluations included diffuse reflectance spectroscopy (DRS) and clinical assessment of the erythema and the pigment reaction. Apparent concentrations of melanin, oxy-, and deoxy-hemoglobin were calculated from the absorption spectra. In the second experiment the levels of deoxy-hemoglobin of the volar forearm of ten volunteers were selectively altered by either application of a pressure cuff or by topical application of 3\% H(2)O(2). Changes in skin color appearance were documented by photography, colorimetry, and DRS. In the UV exposure experiment all reactions were dose dependent. Oxy-hemoglobin values increased to a maximum on day 1, correlating well with the clinical evaluation of erythema, and then decreased exponentially to base line. Melanin showed a significant increase on day 7 and remained relatively constant for the next 3 weeks, correlating well with the clinical evaluation of pigmentation (tanning). Deoxy-hemoglobin increased slightly on day 1 and remained elevated for the next 2 weeks. Thus, deoxy-hemoglobin correlated moderately with the clinical erythema scoring on day 1 only, while it contributes significantly to what is clinically perceived as skin tanning on days 7 and 14. Application of pressure below the diastolic level increased deoxy-hemoglobin concentration as measured by DRS. This increase corresponded to a decrease of a "pigmentation" parameter (based on the L(*)a(*)b(*) scale) in a similar fashion that has been documented for increases in melanin concentration. Topical H(2)O(2) application reduced deoxy-hemoglobin levels as measured by DRS. This reduction coincided kinetically with a visible skin blanching. Application of pressure or H(2)O(2) did not significantly alter the levels of oxy-hemoglobin or melanin. In this report we present compelling evidence that deoxy-hemoglobin significantly contributes to the skin color appearance. Blood pooling, expressed as increased deoxy-hemoglobin, can contribute to what is visually perceived as pigmentation. Furthermore, we present that measurement of its contribution to the skin color appearance can only be accomplished with DRS.},
author = {Stamatas, Georgios N. and Kollias, Nikiforos},
doi = {10.1117/1.1647545},
file = {:Users/GM/Downloads/315\_1.pdf:pdf},
issn = {1083-3668},
journal = {Journal of biomedical optics},
keywords = {Administration,Erythema,Erythema: etiology,Hemoglobins,Hemoglobins: metabolism,Hemostasis,Humans,Hydrogen Peroxide,Hydrogen Peroxide: administration \& dosage,Osmolar Concentration,Pressure,Radiation,Scattering,Skin,Skin Pigmentation,Skin: drug effects,Skin: metabolism,Skin: radiation effects,Time Factors,Topical,Ultraviolet Rays},
number = {2},
pages = {315--22},
pmid = {15065897},
title = {{Blood stasis contributions to the perception of skin pigmentation.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/15065897},
volume = {9},
year = {2004}
}
@article{Kollias1995,
address = {Wellman Laboratories of Photomedicine, Harvard Medical School, Boston, Massachusetts.},
annote = {
        From Duplicate 2 (

          The physical basis of skin color and its evaluation.

         - Kollias, N )

Review,

      },
author = {Kollias, Nikiforos},
file = {:Users/GM/Downloads/1-s2.0-0738081X9500075Q-main.pdf:pdf},
journal = {Clinics in dermatology},
keywords = {Absorption,Humans,Light,Radiation,Scattering,Skin,Skin Physiological Phenomena,Skin Pigmentation,Spectrophotometry},
number = {4},
pages = {361--367},
title = {{The physical basis of skin color and its evaluation.}},
url = {http://europepmc.org/abstract/MED/8665444},
volume = {13},
year = {1995}
}
@article{Soriano2000a,
author = {Soriano, Maricor and Martinkauppi, Birgitta and Huovinen, Sami and Laaksonen, Mika},
doi = {10.1109/ICPR.2000.905542},
file = {:Users/GM/Downloads/00905542.pdf:pdf},
isbn = {0-7695-0750-6},
journal = {Proceedings 15th International Conference on Pattern Recognition. ICPR-2000},
pages = {839--842},
publisher = {IEEE Comput. Soc},
title = {{Skin detection in video under changing illumination conditions}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=905542},
volume = {1},
year = {2000}
}
@article{Kuzmina2011,
author = {Kuzmina, Ilona and Diebele, Ilze and Valeine, Lauma and Jakovels, Dainis and Kempele, Anna and Kapostinsh, Janis and Spigulis, Janis},
doi = {10.1117/12.887207},
editor = {Kollias, Nikiforos and Choi, Bernard and Zeng, Haishan and Kang, Hyun Wook and Knudsen, Bodo E. and Wong, Brian J. and Ilgner, Justus F. R. and Gregory, Kenton W. and Tearney, Guillermo J. and Marcu, Laura and Hirschberg, Henry and Madsen, Steen J. and Mandelis, Andreas and Mahadevan-Jansen, Anita and Jansen, E. Duco},
file = {:Users/GM/Downloads/2.2011\_BiOS.pdf:pdf},
keywords = {lesions,multi-spectral imaging,pigmented and vascular skin,skin chromophores},
month = feb,
number = {May},
pages = {788312--788312--7},
title = {{Multi-spectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial}},
url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=732172},
volume = {7883},
year = {2011}
}
@article{Gomez2002a,
author = {Gomez, Giovani},
file = {:Users/GM/Downloads/icpr2002.pdf:pdf},
journal = {\ldots . Proceedings. 16th International Conference on},
title = {{On selecting colour components for skin detection}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1048465},
year = {2002}
}
@article{Schumeyera,
author = {Schumeyer, Richard P. and Barner, Kenneth E.},
file = {:Users/GM/Downloads/download-6.pdf:pdf},
journal = {In Visual Communications and Image Processing 1998, SPIE},
keywords = {color segmentation,content-based coding},
pages = {189--200},
title = {{A Color-Based Classifier for Region Identification in Video}}
}
@article{Troyanova2007,
author = {Troyanova, P. and Borisova, E. and Avramov, L.},
doi = {10.1117/12.753139},
editor = {Panchenko, Vladislav and Larichev, Andrey and Zheltov, George},
file = {:Users/GM/Downloads/673415\_1.pdf:pdf},
keywords = {heamangioma,hemoglobin,laser-induced fluorescence,reflectance spectroscopy},
month = jun,
pages = {673415--673415--8},
title = {{Fluorescence and reflectance properties of hemoglobin-pigmented skin disorders}},
url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=823021},
volume = {6734},
year = {2007}
}
@article{Terrillon1999a,
author = {Terrillon, Jean-Cristophe and Akamatsu, Shigeru},
file = {:Users/GM/Downloads/download-2.pdf:pdf},
journal = {Vision Interface},
pages = {19--21},
title = {{Comparative performance of different chrominance spaces for color segmentation and detection of human faces in complex scene images}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.86.6037\&rep=rep1\&type=pdf},
year = {1999}
}
@article{Beleza2013a,
abstract = {Variation in human skin and eye color is substantial and especially apparent in admixed populations, yet the underlying genetic architecture is poorly understood because most genome-wide studies are based on individuals of European ancestry. We study pigmentary variation in 699 individuals from Cape Verde, where extensive West African/European admixture has given rise to a broad range in trait values and genomic ancestry proportions. We develop and apply a new approach for measuring eye color, and identify two major loci (HERC2[OCA2] P = 2.3 × 10(-62), SLC24A5 P = 9.6 × 10(-9)) that account for both blue versus brown eye color and varying intensities of brown eye color. We identify four major loci (SLC24A5 P = 5.4 × 10(-27), TYR P = 1.1 × 10(-9), APBA2[OCA2] P = 1.5 × 10(-8), SLC45A2 P = 6 × 10(-9)) for skin color that together account for 35\% of the total variance, but the genetic component with the largest effect (\~{}44\%) is average genomic ancestry. Our results suggest that adjacent cis-acting regulatory loci for OCA2 explain the relationship between skin and eye color, and point to an underlying genetic architecture in which several genes of moderate effect act together with many genes of small effect to explain \~{}70\% of the estimated heritability.},
author = {Beleza, Sandra and Johnson, Nicholas a and Candille, Sophie I and Absher, Devin M and Coram, Marc a and Lopes, Jailson and Campos, Joana and Ara\'{u}jo, Isabel In\^{e}s and Anderson, Tovi M and Vilhj\'{a}lmsson, Bjarni J and Nordborg, Magnus and {Correia E Silva}, Ant\'{o}nio and Shriver, Mark D and Rocha, Jorge and Barsh, Gregory S and Tang, Hua},
doi = {10.1371/journal.pgen.1003372},
file = {:Users/GM/Downloads/journal.pgen.1003372.pdf:pdf},
issn = {1553-7404},
journal = {PLoS genetics},
keywords = {African Continental Ancestry Group,African Continental Ancestry Group: genetics,Albinism,Cape Verde,European Continental Ancestry Group,European Continental Ancestry Group: genetics,Eye Color,Eye Color: genetics,Genotype,Hair Color,Hair Color: genetics,Haplotypes,Humans,Oculocutaneous,Oculocutaneous: genetics,Polymorphism,Single Nucleotide,Skin Pigmentation,Skin Pigmentation: genetics},
month = mar,
number = {3},
pages = {e1003372},
pmid = {23555287},
title = {{Genetic architecture of skin and eye color in an African-European admixed population.}},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3605137\&tool=pmcentrez\&rendertype=abstract},
volume = {9},
year = {2013}
}
@article{Anderson1981,
author = {Anderson, R. Rox and Parrish, John A.},
file = {:Users/GM/Downloads/5615637a.pdf:pdf},
journal = {J Investig Dermatol},
pages = {13--19},
title = {{The Optics of Human Skin}},
url = {http://dx.doi.org/10.1111/1523-1747.ep12479191},
volume = {77},
year = {1981}
}
@article{Albiol2001a,
author = {Albiol, Alberto and Torres, Luis and Delp, EJ},
file = {:Users/GM/Downloads/OPTIMUM COLOR SPACES FOR SKIN DETECTION.pdf:pdf},
journal = {Image Processing, 2001. \ldots},
number = {3},
pages = {3--5},
title = {{Optimum Color Spaces for Skin Detection}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=958968},
year = {2001}
}
@article{Tsumura2001c,
author = {Tsumura, Norimichi and Kawabuchi, Miki},
file = {:Users/GM/Downloads/JIST01\_oxygen.pdf:pdf},
journal = {Journal of Imaging \ldots},
pages = {1--16},
title = {{Mapping pigmentation in human skin from a multi-channel visible spectrum image by inverse optical scattering technique}},
url = {http://www.ingentaconnect.com/content/ist/jist/2001/00000045/00000005/art00005},
year = {2001}
}
@article{Chai2000a,
author = {Chai, Douglas and Bouzerdoum, Abdesselam},
file = {:Users/GM/Downloads/00888774.pdf:pdf},
journal = {TENCON 2000. Proceedings},
title = {{A Bayesian Approach to Skin Color Classification in YCBCR Color Space}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=888774},
year = {2000}
}
@article{Shin2002a,
author = {Shin, Min C. and Chang, Kyong I. and Tsap, Leonid V.},
file = {:Users/GM/Downloads/01182194.pdf:pdf},
journal = {Applications of Computer Vision, \ldots},
pages = {1--5},
title = {{Does colorspace transformation make any difference on skin detection?}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1182194},
year = {2002}
}
@article{Tsumura2001b,
author = {Tsumura, Norimichi and Miyake, Yoichi and Imai, Francisco H.},
file = {:Users/GM/Downloads/MCS01\_Tsumura.pdf:pdf},
journal = {Proceedings of the 3rd International \ldots},
pages = {2--5},
title = {{Medical Vision: measurement of skin absolute spectral-reflectance image and the application to component analysis}},
url = {http://133.82.248.84/~tsumura/Tsumura/papers/MCS01\_Tsumura.pdf},
year = {2001}
}
@article{Zarit1999a,
author = {Zarit, Benjamin D. and Super, Boaz J. and Quek, Francis K. H.},
doi = {10.1109/RATFG.1999.799224},
file = {:Users/GM/Downloads/00799224.pdf:pdf},
isbn = {0-7695-0378-0},
journal = {Proceedings International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99 (Cat. No.PR00378)},
pages = {58--63},
publisher = {IEEE Comput. Soc},
title = {{Comparison of five color models in skin pixel classification}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=799224},
year = {1999}
}
@article{Vezhnevets2003,
author = {Vezhnevets, Vladimir and Sazonov, Vassili and Andreeva, Alla},
file = {:Users/GM/Library/Application Support/Mendeley Desktop/Downloaded/Vezhnevets, Sazonov, Andreeva - 2003 - A survey on pixel-based skin color detection techniques.pdf:pdf},
journal = {Proc. Graphicon},
keywords = {brand and mason 2000,color modelling strategies,color segmentation,color space,have eval-,image processing,lee and yoo,mixture of gaussians models,model selection,skin detection,uated three different skin},
title = {{A survey on pixel-based skin color detection techniques}},
url = {http://academic.aua.am/Skhachat/Public/Papers on Face Detection/Survey on Skin Color Techniques.pdf},
year = {2003}
}
@book{Yang1997a,
author = {Yang, Jie and Lu, Weier and Waibel, Alex},
file = {:Users/GM/Downloads/chp\%3A10.1007\%2F3-540-63931-4\_278.pdf:pdf},
title = {{Skin-color modeling and adaptation}},
url = {http://link.springer.com/chapter/10.1007/3-540-63931-4\_278},
year = {1997}
}
@article{Lee2002,
author = {Lee, Jae Y. and Yoo, Suk I.},
file = {:Users/GM/Downloads/download-4.pdf:pdf},
journal = {Proc. of the 2002 International Conference on Imaging \ldots},
keywords = {elliptical boundary model,gaussian model,skin color model,skin detection},
title = {{An elliptical boundary model for skin color detection}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.215.725\&rep=rep1\&type=pdf},
year = {2002}
}
@article{Lin2007a,
abstract = {Melanocytes are phenotypically prominent but histologically inconspicuous skin cells. They are responsible for the pigmentation of skin and hair, and thereby contribute to the appearance of skin and provide protection from damage by ultraviolet radiation. Pigmentation mutants in various species are highly informative about basic genetic and developmental pathways, and provide important clues to the processes of photoprotection, cancer predisposition and even human evolution. Skin is the most common site of cancer in humans. Continued understanding of melanocyte contributions to skin biology will hopefully provide new opportunities for the prevention and treatment of skin diseases.},
author = {Lin, Jennifer Y. and Fisher, David E.},
doi = {10.1038/nature05660},
file = {:Users/GM/Downloads/PL\_melanocytebiology.pdf:pdf},
issn = {1476-4687},
journal = {Nature},
keywords = {Animals,Hair Color,Hair Color: physiology,Humans,Melanocortin,Melanocytes,Melanocytes: cytology,Melanocytes: physiology,Melanocytes: radiation effects,Melanosomes,Melanosomes: metabolism,Receptor,Skin Neoplasms,Skin Neoplasms: metabolism,Skin Neoplasms: pathology,Skin Pigmentation,Skin Pigmentation: physiology,Skin Pigmentation: radiation effects,Type 1,Type 1: metabolism},
month = feb,
number = {7130},
pages = {843--50},
pmid = {17314970},
title = {{Melanocyte biology and skin pigmentation.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17314970},
volume = {445},
year = {2007}
}
@article{Poynton1997,
author = {Poynton, Charles},
file = {:Users/GM/Downloads/ColorFAQ.pdf:pdf},
journal = {Retrieved June},
pages = {1--24},
title = {{Frequently asked questions about color}},
url = {http://landmerge.googlecode.com/svn-history/r62/trunk/doc/ColorFAQ.pdf},
year = {1997}
}
@article{Skarbek1994,
author = {Skarbek, Wladyslaw and Koschan, Andreas},
file = {:Users/GM/Downloads/coseg.pdf:pdf},
number = {October},
title = {{Colour image segmentation-a survey}},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.1325},
year = {1994}
}
@article{Sigal2000a,
author = {Sigal, Leonid and Sclaroff, Stan and Athitsos, Vassilis},
file = {:Users/GM/Downloads/1999-015-ColorSkinTracker.pdf:pdf},
journal = {Computer Vision and Pattern \ldots},
number = {March},
title = {{Estimation and prediction of evolving color distributions for skin segmentation under varying illumination}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=854764},
volume = {1999},
year = {2000}
}
@article{Bersha2010a,
author = {Bersha, Kusse Sukuta},
file = {:Users/GM/Downloads/Spectral imaging and analysing human skin, Kusse Sukuta BERSHA.pdf:pdf},
journal = {University of Eastern Finland},
title = {{Master Erasmus Mundus in SPECTRAL IMAGING AND ANALYSIS OF HUMAN Skin: Master Thesis Report}},
year = {2010}
}
@article{Tsumura2000,
author = {Tsumura, Norimichi and Haneishi, Hideaki and Miyake, Yoichi},
doi = {10.1007/s10043-000-0479-x},
file = {:Users/GM/Downloads/OptRev00\_ICA.pdf:pdf},
issn = {1340-6000},
journal = {Optical Review},
keywords = {ac,chiba-u,e-mail,hemoglobin,ics,in vivo,independent component analysis,jp,melanin,skin pigmentation,spectral absorbance image,spectral analysis,tj,tsumura},
month = nov,
number = {6},
pages = {479--482},
title = {{Independent Component Analysis of Spectral Absorbance Image in Human Skin}},
url = {http://link.springer.com/10.1007/s10043-000-0479-x},
volume = {7},
year = {2000}
}
@article{Jedynak2003,
author = {Jedynak, Bruno and Zheng, Huicheng and Daoudi, Mohamed},
file = {:Users/GM/Downloads/250.pdf:pdf},
journal = {\ldots Methods in Computer Vision and Pattern \ldots},
title = {{Maximum Entropy Models for Skin Detection}},
url = {http://link.springer.com/chapter/10.1007/978-3-540-45063-4\_12},
year = {2003}
}
@article{Phung2002a,
author = {Phung, Son Lam and Bouzerdoum, Abdesselam and Chai, Douglas},
file = {:Users/GM/Downloads/01038016.pdf:pdf},
isbn = {0780376226},
journal = {Image Processing. 2002. \ldots},
pages = {289--292},
title = {{A novel skin color model in ycbcr color space and its application to human face detection}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1038016},
year = {2002}
}
@article{Drakaki2006a,
author = {Drakaki, Eleni and Sianoudis, Ioannis},
file = {:Users/GM/Downloads/drakaki\_7.pdf:pdf},
journal = {e-jst.teiath.gr},
keywords = {absorbance,hemoglobin,hemoglobin oxygenation,melanin,optical properties,reflectance,reflectance model,scattering},
pages = {1--9},
title = {{on invasive and real time analysis of skin pigmentation and cutaneous hemoglobin oxygenation: An experimental and theoretical approach.}},
url = {http://e-jst.teiath.gr/issue\_7\_2008/drakaki\_7.pdf},
year = {2006}
}
@article{Jones2002,
author = {Jones, Michael J. and Rehg, James M.},
file = {:Users/GM/Library/Application Support/Mendeley Desktop/Downloaded/Jones, Rehg - 2002 - Statistical color models with application to skin detection.pdf:pdf},
journal = {International Journal of Computer Vision},
pages = {1--23},
title = {{Statistical color models with application to skin detection}},
url = {http://link.springer.com/article/10.1023/A:1013200319198},
year = {2002}
}
@article{Brand2000a,
author = {Brand, Jason and Mason, John S.},
file = {:Users/GM/Downloads/00905653.pdf:pdf},
isbn = {0769507506},
journal = {Pattern Recognition, 2000. Proceedings. \ldots},
pages = {1056--1059},
title = {{A Comparative Assessment of Three Approaches to Pixel-level Human Skin-Detection}},
url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=905653},
year = {2000}
}
@article{Sturm2009a,
abstract = {The genetic basis underlying normal variation in the pigmentary traits of skin, hair and eye colour has been the subject of intense research directed at understanding the diversity seen both between and within human populations. A combination of approaches have been used including comparative genomics of candidate genes and the identification of regions of the human genome under positive selection, together with genome-wide and specific allele association studies. Independent selection for different pigmentation gene sets has been found between Asian, European and African populations. Several genome-wide association studies for pigmentation have now been conducted and identified single nucleotide polymorphism (SNP) markers in known, TYR, TYRP1, OCA2, SLC45A2, SLC24A5, MC1R, ASIP, KITLG and previously unknown SLC24A4, IRF4, TPCN2, candidate genes. The contribution of SNP polymorphisms present in populations from South Asia have been tested and alleles found at TYR, SLC45A2 and SLC24A5 can largely account for differences between those of darkest and lightest skin reflectance using a simple additive model. Skin and hair colour associations in Europeans are found within a range of pigmentation gene alleles, whereas blue-brown eye colour can be explained by a single SNP proposed to regulate OCA2 expression. Functional testing of variant alleles has begun to connect phenotype correlations with biological differences. Variant MC1R alleles show direct correlations between the biochemical signalling properties of the encoded receptor and the red-hair fair skin pigmentation phenotype. Direct testing of a range of clonal melanocyte cultures derived from donor skin tissue characterized for three causal SNPs within SLC45A2, SLC24A5 and OCA2 has assessed their impact on melanin content and tyrosinase enzyme activity. From a culmination of genetic and functional studies, it is apparent that a number of genes impacting melanosome biogenesis or the melanin biosynthetic pathway are candidates to explain the diversity seen in human pigmentation.},
author = {Sturm, Richard A.},
doi = {10.1093/hmg/ddp003},
file = {:Users/GM/Downloads/Hum. Mol. Genet.-2009-Sturm-R9-R17.pdf:pdf},
issn = {1460-2083},
journal = {Human molecular genetics},
keywords = {Animals,Eye Color,Eye Color: genetics,Genome-Wide Association Study,Hair Color,Hair Color: genetics,Humans,Melanins,Melanins: biosynthesis,Polymorphism,Single Nucleotide,Skin Pigmentation,Skin Pigmentation: genetics},
month = apr,
number = {R1},
pages = {R9--17},
pmid = {19297406},
title = {{Molecular genetics of human pigmentation diversity.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/19297406},
volume = {18},
year = {2009}
}
@article{Yang1998,
author = {Yang, Ming-Hsuan and Ahuja, Narendra},
doi = {10.1117/12.333865},
editor = {Yeung, Minerva M. and Yeo, Boon-Lock and Bouman, Charles A.},
file = {:Users/GM/Downloads/download-3.pdf:pdf},
keywords = {although skin colors of,applications from human face,been used and proved,detection to hand tracking,di erent races fall,ective feature in many,em algorithm,gaussian mixture model,however,human skin color has,in,into a small cluster,most studies use either,of skin color,simple thresholding or a,single gaussian distribution,skin color,skin detection,to be an e,to characterize the properties},
month = dec,
pages = {458--466},
title = {{Gaussian Mixture Model for Human Skin Color and its Applications in Image and Video Databases}},
url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=979899},
year = {1998}
}
@article{MIHAI2007,
author = {Mihai, Dragoş and Străjescu, Eugen},
file = {:Users/GM/Downloads/full49129.pdf:pdf},
keywords = {color function,filter,image processing,r g b,wavelength},
number = {2},
pages = {77--84},
title = {{From Wavelength to RGB Filter}},
url = {http://www.scientificbulletin.upb.ro/rev\_docs\_arhiva/full49129.pdf},
volume = {69},
year = {2007}
}
@online{Dass2012,
author = {Dass, Angelica},
keywords = {humanæ,dass2012},
title = {Humanæ},
url = {humanae.tumblr.com},
year = {2012}
}
@article{Kruppa2002a,
author = {Kruppa, Hannes and Bauer, Martin A. and Schiele, Bernt},
file = {:Users/GM/Downloads/download-5.pdf:pdf},
journal = {Pattern Recognition},
title = {{Skin patch detection in real-world images}},
url = {http://link.springer.com/chapter/10.1007/3-540-45783-6\_14},
year = {2002}
}
@article{Inaba2012a,
author = {Inaba, Masafumi and Yamanaka, Hiroaki and Kondo, Shigeru},
file = {:Users/GM/Downloads/inaba2012.pdf:pdf},
journal = {Science},
pages = {1},
title = {{Pigment pattern formation by contact-dependent depolarization}},
url = {http://www.sciencemag.org/content/335/6069/677.short},
year = {2012}
}
@article{Ziou1998,
author = {Ziou, Djemel and Tabbone, Salvatore},
file = {:Users/GM/Downloads/ziou\_pria\_98.pdf:pdf},
journal = {International Journal of Pattern Recognition and Image Analysis},
pages = {537--559},
title = {{Edge Detection Techniques - An Overview}},
volume = {8},
year = {1998}
}
@article{Brown2001a,
author = {Brown, D a and Craw, I and Lewthwaite, J},
doi = {10.5244/C.15.51},
file = {:Users/GM/Downloads/download.pdf:pdf},
isbn = {1-901725-16-2},
journal = {Procedings of the British Machine Vision Conference 2001},
pages = {51.1--51.10},
publisher = {British Machine Vision Association},
title = {{A SOM Based Approach to Skin Detection with Application in Real Time Systems}},
url = {http://www.bmva.org/bmvc/2001/papers/33/index.html},
year = {2001}
}

repository: Jazmann/ColorSpaceConversion

repo_name: Jazmann/ColorSpaceConversion


text:
@ARTICLE{exmaple,
	author = {Mokichi Azuma},
	title = {bibTeXの使い方},
	journal = {Clips Toys},
	year = {2015},
	volume = {1},
	pages = {100-200},
}

@article{Swordy2001,
		Author = {Swordy, S. P.},
		Journal = {Space Science Reviews},
		Pages = {85--94},
		Title = {The Energy Spectra and Anisotropies of Cosmic Rays},
		Volume = {99},
		Year = {2001},
}

@mastersthesis{Okumura2005,
		Author = {奥村, 曉},
		School = {東京大学大学院理学系研究科物理学専攻},
		Title = {{TeV}-$\gamma$線観測を用いた{Ashra}光電撮像系の開発的研究},
		Year = {2005},
}


text:
html {
  min-height: 100vh;
}

body {
  text-align: center;
  background-color: #ddd;
  font-family: 'Roboto', sans-serif;
  min-height: 100vh;
  position: relative;
}

form {
  text-align: left;
}

.container {
  width: 50%;
}

.panel {
  width: 50%;
  height: auto;
  margin: 30px auto;
  -webkit-box-shadow: 9px 9px 15px -2px rgba(0, 0, 0, 0.3);
  -moz-box-shadow: 9px 9px 15px -2px rgba(0,0,0,0.3);
  box-shadow: 9px 9px 15px -2px rgba(0,0,0,0.3);
  border-radius: 10px;
  margin-bottom: 90px;
}

.panel-heading {
  font-size: 30px;
  font-weight: bold;
  border-radius: 10px 10px 0 0;
}

.panel-body {
  padding: 20px;
}

h3 {
  margin: 0;
}

h4 {
  margin-top: 0;
  font-size: 20px;
  font-weight: bold;
}

#submit {
  width: 100%;
  font-size: 20px;
  margin-top: 10px;
  font-weight: bold;
}

ul {
  text-align: left;
  font-size: 18px;
  padding: 0 0 0 25px;
}

hr {
  margin-top: 5px;
  margin-bottom: 20px;
  border: 1px solid #bbb;
}

.innerPanel {
  border: 2px solid #bbb;
  border-radius: 5px;
  padding: 10px;
  margin-bottom: 20px;
  -webkit-box-shadow: 4px 4px 7px 0px rgba(0,0,0,0.2);
  -moz-box-shadow: 4px 4px 7px 0px rgba(0,0,0,0.2);
  box-shadow: 4px 4px 7px 0px rgba(0,0,0,0.2);
  height: auto;
  top: 0;
  position: relative;
  transition: top 0.1s ease;
}

.studyMaterial .innerPanel:hover {
  -webkit-box-shadow: 6px 6px 10px 0px rgba(0, 0, 0, 0.32);
  -moz-box-shadow: 6px 6px 10px 0px rgba(0, 0, 0, 0.32);
  box-shadow: 6px 6px 10px 0px rgba(0, 0, 0, 0.32);
  transition: 0.1s;
  top: -5px;
}

#languageName {
  font-size: 30px;
}

a {
  color: #000;
}

a:hover {
  color: #000;
  text-decoration: none;
}

.imgPanel {
  display: flex;
  flex-direction: row;
  align-items: center;
  margin-top: 10px;
}

img {
  height: 75px;
  width: auto;
  margin: 5px;
}

p {
  margin: auto;
}

iframe {
  width: 100%;
  height: 250px;
}

#studyTitle {
  font-size: 25px;
  margin-top: 30px;
}

.innerPanel p {
  font-size: 16px;
  padding: 0 10px;
}

table {
  width: 100%;
  border-collapse: collapse;
  -webkit-box-shadow: 4px 4px 7px 0px rgba(0,0,0,0.4);
  -moz-box-shadow: 4px 4px 7px 0px rgba(0,0,0,0.4);
  box-shadow: 4px 4px 7px 0px rgba(0,0,0,0.4);
}

td, th {
  text-align: left;
  border: 1px solid #ddd;
  padding: 8px 12px;
}

tr:nth-child(even) {
  background-color: #ddd;
}

#loadingDiv, #leavingDiv {
  display: flex;
  flex-direction: column;
  justify-content: center;
}

#loadingDiv p, #leavingDiv p {
  font-size: 20px;
}

#loadingDiv h1, #leavingDiv h1 {
  margin: 60px 0;
  line-height: 60px;
}

#refreshButton {
  width: 100%;
  font-size: 20px;
  margin-top: 10px;
  font-weight: bold;
}

footer {
  background-color: #fff;
  color: #000;
  width: 100%;
  font-size: 18px;
  position: absolute;
  bottom: 0;
  left: 0;
}

footer img {
  height: 50px;
  width: auto;
  margin-left: 20px;
}

/* Initially Hidden */
#survey {
  display: none;
}
#output {
  display: none;
}
#loadingDiv {
  display: none;
}
#leavingDiv {
  display: none;
}

/* Loading Icon */
.loader {
  border: 16px solid #f3f3f3;
  border-radius: 50%;
  border-top: 16px solid #3498db;
  width: 100px;
  height: 100px;
  animation: spin 1s linear infinite;
  margin: 20px auto;

}
@keyframes spin {
  0% { transform: rotate(0deg); }
  100% { transform: rotate(360deg); }
}

/* Media Queries */
@media screen and (max-width: 1700px) {
  .panel {
    width: 80%;
  }
}
@media screen and (max-width: 1110px) {
  .container {
    width: 80%;
  }
}
@media screen and (max-width: 740px) {
  .container, .panel {
    width: 100%;
  }
  .panel.panel-primary {
    margin-top: 15px;
  }
  .panel {
    -webkit-box-shadow: 4px 4px 8px -2px rgba(0, 0, 0, 0.2);
    -moz-box-shadow: 4px 4px 8px -2px rgba(0,0,0,0.2);
    box-shadow: 4px 4px 8px -2px rgba(0,0,0,0.2);
  }
}


text:
.introduction{
    background: var(--habitus-tertiary);
    padding: 50px 0px;
    margin-top: 20px;
}
.whiteSection{
    background: white;
    box-shadow: 0px 0px 10px 0px #0000004d;
    padding: 20px;
}
.introduction > p{
    font-size: 15px;
    text-align: center;
    padding: 20px;
}
.flex{
    display: flex;
    align-items: flex-start;
    justify-content: center;
    max-width: 1200px;
    margin: auto;
}
.otherArticles{
    max-width: 700px;
    width: 100%;
}
.otherArticles > h2{
    text-align: center;
    padding: 20px;
    color: var(--habitus-primary);
    text-transform: uppercase;
    font-weight: 900;
    letter-spacing: 5px;
    font-family: GS;
    font-size: 22px;
}

repository: irvingdc/habitus-gatsby-website

repo_name: irvingdc/habitus-gatsby-website

gha_language: PHP


text:
require gupnp-av.inc

SRC_URI = "${GNOME_MIRROR}/${BPN}/0.12/${BPN}-${PV}.tar.xz"
SRC_URI[md5sum] = "215f626508d76b767f5da7c9b92e87d8"
SRC_URI[sha256sum] = "8038ef84dddbe7ad91c205bf91dddf684f072df8623f39b6555a6bb72837b85a"
LIC_FILES_CHKSUM = "file://COPYING;md5=3bf50002aefd002f49e7bb854063f7e7 \
                    file://libgupnp-av/gupnp-av.h;beginline=1;endline=22;md5=2b47b7b5f799d2ebabe62b895e848820"

repository: astarche/meta-openembedded

repo_name: astarche/meta-openembedded

branch_name: refs/heads/nilrt/master/sumo


text:
@InProceedings{azadi14,
  pdf = {http://jmlr.org/proceedings/papers/v32/azadi14.pdf},
  section = {cycle-1},
  supplementary = {Supplementary:azadi14-supp.pdf},
  title = {Towards an optimal stochastic alternating direction method of multipliers},
  author = {Samaneh Azadi and Suvrit Sra},
  pages = {620-628},
  abstract = {We study regularized stochastic convex optimization subject to linear equality constraints. This class of problems was recently also studied by Ouyang et al. (2013) and Suzuki (2013); both introduced similar stochastic alternating direction method of multipliers (SADMM) algorithms. However, the analysis of both papers led to suboptimal convergence rates. This paper presents two new SADMM methods: (i) the first attains the minimax optimal rate of O(1/k) for nonsmooth strongly-convex stochastic problems; while (ii) the second progresses towards an optimal rate by exhibiting an O(1/k^2) rate for the smooth part. We present several experiments with our new methods; the results indicate improved performance over competing ADMM methods.},
}

repository: mreid/papersite

repo_name: mreid/papersite


text:
SUMMARY  = "Wi-Fi Test Suite Linux Control Agent"
DESCRIPTION = "Wi-Fi Test Suite is a software platform originally developed \
by Wi-Fi Alliance, the global non-profit industry association that brings you \
Wi-Fi, to support certification program development and device certification."
HOMEPAGE = "https://www.wi-fi.org/certification/wi-fi-test-suite"
LICENSE  = "ISC"
LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=0542427ed5c315ca34aa09ae7a85ed32"
SECTION = "test"

S = "${WORKDIR}/git"
SRCREV = "12e85fbeca8ca21a632d18e55089a8a7606d64aa"
SRC_URI = "git://github.com/Wi-FiTestSuite/Wi-FiTestSuite-Linux-DUT.git;branch=master;protocol=https \
	file://0001-Use-toolchain-from-environment-variables.patch \
	file://0002-Add-missing-include-removes-unnedded-stuff-and-add-n.patch \
	file://0003-fix-path-to-usr-sbin-for-script-and-make-script-for-.patch \
	file://0004-run-ranlib-per-library-and-use-AR.patch \
        file://fno-common.patch \
        file://0001-wfa_cmdproc-Store-return-value-into-location.patch \
"

# to avoid host path QA error
CFLAGS += "-I${STAGING_INCDIR}/tirpc"
# Fix GNU HASH error
TARGET_CC_ARCH += "${LDFLAGS}"

do_install () {
	install -d ${D}${libdir}
	install -m 0644 ${S}/lib/libwfa.a ${D}${libdir}
	install -m 0644 ${S}/lib/libwfa_ca.a ${D}${libdir}
	install -m 0644 ${S}/lib/libwfa_dut.a ${D}${libdir}
	install -d ${D}${sbindir}
	install -m 0755 ${S}/dut/wfa_dut ${D}${sbindir}
	install -m 0755 ${S}/ca/wfa_ca ${D}${sbindir}
	install -m 0755 ${S}/scripts/*.sh ${D}${sbindir}
	install -m 0755 ${S}/scripts/arp_neigh_loop ${D}${sbindir}
	install -m 0755 ${S}/scripts/dev_send_frame ${D}${sbindir}
	install -m 0755 ${S}/scripts/sta_reset_parm ${D}${sbindir}
}

RDEPENDS:${PN} = "wpa-supplicant"

repository: openembedded/meta-openembedded

repo_name: openembedded/meta-openembedded