text:
@article{pimentel2016lair,
  title={The Lair: a resource for exploratory analysis of published RNA-Seq data},
  author={Pimentel, Harold and Sturmfels, Pascal and Bray, Nicolas and Melsted, P{\'a}ll and Pachter, Lior},
  journal={BMC bioinformatics},
  volume={17},
  number={1},
  pages={1--6},
  year={2016},
  publisher={BioMed Central}
}

@article{khuller2019select,
  title={Select and permute: An improved online framework for scheduling to minimize weighted completion time},
  author={Khuller, Samir and Li, Jingling and Sturmfels, Pascal and Sun, Kevin and Venkat, Prayaag},
  journal={Theoretical Computer Science},
  volume={795},
  pages={420--431},
  year={2019},
  publisher={Elsevier}
}

@inproceedings{sturmfels2018domain,
  title={A domain guided cnn architecture for predicting age from structural brain images},
  author={Sturmfels, Pascal and Rutherford, Saige and Angstadt, Mike and Peterson, Mark and Sripada, Chandra and Wiens, Jenna},
  booktitle={Machine learning for healthcare conference},
  pages={295--311},
  year={2018},
  organization={PMLR}
}

@article{sturmfels2020visualizing,
  title={Visualizing the impact of feature attribution baselines},
  author={Sturmfels, Pascal and Lundberg, Scott and Lee, Su-In},
  journal={Distill},
  volume={5},
  number={1},
  pages={e22},
  year={2020}
}

@article{janizek2021explaining,
  title={Explaining explanations: Axiomatic feature interactions for deep networks},
  author={Janizek, Joseph D and Sturmfels, Pascal and Lee, Su-In},
  journal={Journal of Machine Learning Research},
  volume={22},
  number={104},
  pages={1--54},
  year={2021}
}

@article{beebe2021unified,
  title={Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies},
  author={Beebe-Wang, Nicasia and Celik, Safiye and Weinberger, Ethan and Sturmfels, Pascal and De Jager, Philip L and Mostafavi, Sara and Lee, Su-In},
  journal={Nature communications},
  volume={12},
  number={1},
  pages={1--17},
  year={2021},
  publisher={Nature Publishing Group}
}

@article{sturmfels2020profile,
  title={Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models},
  author={Sturmfels, Pascal and Vig, Jesse and Madani, Ali and Rajani, Nazneen Fatema},
  journal={arXiv preprint arXiv:2012.00195},
  year={2020}
}

@article{evtimov2021foggysight,
  title={FoggySight: A Scheme for Facial Lookup Privacy.},
  author={Evtimov, Ivan and Sturmfels, Pascal and Kohno, Tadayoshi},
  journal={Proc. Priv. Enhancing Technol.},
  volume={2021},
  number={3},
  pages={204--226},
  year={2021}
}

@article{erion2021improving,
  title={Improving performance of deep learning models with axiomatic attribution priors and expected gradients},
  author={Erion, Gabriel and Janizek, Joseph D and Sturmfels, Pascal and Lundberg, Scott M and Lee, Su-In},
  journal={Nature Machine Intelligence},
  pages={1--12},
  year={2021},
  publisher={Nature Publishing Group}
}

@article{rutherford2021automated,
  title={Automated Brain Masking of Fetal Functional MRI with Open Data},
  author={Rutherford, Saige and Sturmfels, Pascal and Angstadt, Mike and Hect, Jasmine and Wiens, Jenna and van den Heuvel, Marion I and Scheinost, Dustin and Sripada, Chandra and Thomason, Moriah},
  journal={Neuroinformatics},
  pages={1--13},
  year={2021},
  publisher={Springer US}
}

repository: psturmfels/academic-kickstart

repo_name: psturmfels/academic-kickstart


text:
@online{apple-developer-doku,
author = {{Apple Inc.}},
title = {{Apple} Developer Documentation},
year = {2018},
urldate = {07.06.2018},
url = {https://developer.apple.com/documentation}
}

@online{arkit-doku,
author = {{Apple Inc.}},
title = {{ARKit} Framework Documentation},
year = {2018},
urldate = {01.03.2018},
url = {https://developer.apple.com/documentation/arkit}
}

@online{arkit-recognize-images,
author = {{Apple Inc.}},
title = {{ARKit} – {Recognizing} Images in an {AR} Experience},
year = {2018},
urldate = {29.03.2018},
url = {https://developer.apple.com/documentation/arkit/recognizing_images_in_an_ar_experience}
}

@online{vision-real-time-with-arkit,
author = {{Apple Inc.}},
title = {{Vision} – {Using} {Vision} in Real Time with {ARKit}},
year = {2018},
urldate = {29.03.2018},
url = {https://developer.apple.com/documentation/arkit/using_vision_in_real_time_with_arkit}
}

@online{arkit-world-tracking,
author = {{Apple Inc.}},
title = {{Understanding World Tracking in ARKit}},
year = {2018},
urldate = {29.03.2018},
url = {https://developer.apple.com/documentation/arkit/understanding_world_tracking_in_arkit}
}

@online{core-ml,
author = {{Apple Inc.}},
title = {{CoreML} – Framework Documentation},
year = {2018},
urldate = {29.03.2018},
url = {https://developer.apple.com/documentation/coreml}
}

@online{vision,
author = {{Apple Inc.}},
title = {{Vision} – Framework Documentation},
year = {2018},
urldate = {29.03.2018},
url = {https://developer.apple.com/documentation/vision}
}

@online{arkit-gravity-coordinatesystem,
author = {{Apple Inc.}},
title = {{ARKit} – {WorldAlignment} gravity},
year = {2018},
urldate = {02.04.2018},
url = {https://developer.apple.com/documentation/arkit/arconfiguration.worldalignment/2873778-gravity}
}

@online{automatic-reference-counting,
author = {{Apple Inc.}},
title = {{Automatic Reference Counting in Swift}},
year = {2018},
urldate = {05.06.2018},
url = {https://docs.swift.org/swift-book/LanguageGuide/AutomaticReferenceCounting.html#ID52}
}

@online{swift-org,
author = {{Apple Inc.}},
title = {{About Swift}},
year = {2018},
urldate = {05.06.2018},
url = {https://swift.org/about/#swiftorg-and-open-source}
}

@online{arkit-dectingplanes-placingobjects,
author = {{Machinethinks.com}},
title = {{ARKit} – {Detecting} planes and placing objects},
year = {2017},
urldate = {01.04.2018},
url = {https://machinethinks.com/arkit-detecting-planes-and-placing-objects/}
}

@online{so-shader-modifier,
author = {{Ash, Stack Overflow User}},
title = {{Stack Overflow Antwort} auf: {Drawing} edges of {SCNBox} without diagonal line?},
year = {2017},
urldate = {01.04.2018},
url = {https://stackoverflow.com/a/48006752}
}

@online{reality-technologies,
author = {{Reality Technologies}},
title = {{Reality Technologies} Artikel: The Ultimate Guide to Augmented Reality (AR) Technology},
year = {2017},
urldate = {05.05.2018},
url = {http://www.realitytechnologies.com/augmented-reality}
}

@online{viper-objcio,
author = {Jeff Gilbert and Conrad Stoll},
title = {Architecting {iOS} {Apps} with {VIPER}},
year = {2014},
urldate = {03.06.2018},
url = {https://www.objc.io/issues/13-architecture/viper/}
}

@online{clean-architecture,
author = {Robert Cecil Martin},
title = {The Clean Architecture},
year = {2012},
urldate = {03.06.2018},
url = {https://8thlight.com/blog/uncle-bob/2012/08/13/the-clean-architecture.html}
}

@online{arkit-physics,
author = {Jayven Nhan},
title = {ARKit Tutorial: Understanding Physics by Launching a Rocketship},
year = {2018},
urldate = {05.06.2018},
url = {https://www.appcoda.com/arkit-physics-scenekit/}
}

@book{bezeichnung,
  title={Titel},
  author={Autor},
  year={2016}
}

@article{DBLP:journals/corr/SzegedyVISW15,
  author    = {Christian Szegedy and
               Vincent Vanhoucke and
               Sergey Ioffe and
               Jonathon Shlens and
               Zbigniew Wojna},
  title     = {Rethinking the Inception Architecture for Computer Vision},
  journal   = {CoRR},
  volume    = {abs/1512.00567},
  year      = {2015},
  url       = {http://arxiv.org/abs/1512.00567},
  archivePrefix = {arXiv},
  eprint    = {1512.00567},
  timestamp = {Wed, 07 Jun 2017 14:40:22 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/SzegedyVISW15},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

license: MIT

repository: eduDorus/PAWI

license_type: permissive

repo_name: eduDorus/PAWI

branch_name: refs/heads/master

extension: bib


text:
DESCRIPTION = "a unit test framework for C"
LICENSE = "LGPL"
PRIORITY = "optional"
SECTION = "devel"

PR = "r2"

SRC_URI = "${SOURCEFORGE_MIRROR}/check/check-${PV}.tar.gz \
           file://configure_fix.patch \
           file://check-m4-am-path-check-use-quadrigraphs-in-macro-names-to-unbreak-autoconf.patch \
          "
S = "${WORKDIR}/check-${PV}"

inherit autotools pkgconfig

EXTRA_OECONF += "--enable-plain-docdir"

SRC_URI[md5sum] = "30143c7974b547a12a7da47809a90951"
SRC_URI[sha256sum] = "961b3c66869018d02226bbbc394e79362cd898962ce810bce8417b3c497f7ad6"

repository: overo/overo-oe-natty

repo_name: overo/overo-oe-natty

branch_name: HEAD

extension: bb


text:
.f-Label {
  display: inline-block;
  margin-top: var(--f-space--m);
  margin-bottom: var(--f-space--m);
  color: var(--f-color-text--primary);
}

.f-Label + .f-FormEl-wrapper {
  margin-top: 0;
}

extension: css


text:
find_path(ZLTOOLKIT_INCLUDE_DIR
  NAMES Network/Socket.h
  PATHS
  ${PROJECT_SOURCE_DIR}/../ZLToolKit/src
  $ENV{HOME}/ZLToolKit/include)

find_library(ZLTOOLKIT_LIBRARY
  NAMES ZLToolKit
  PATHS
  ${PROJECT_SOURCE_DIR}/../ZLToolKit/build/lib
  $ENV{HOME}/ZLToolKit/lib)

set(ZLTOOLKIT_LIBRARIES ${ZLTOOLKIT_LIBRARY})
set(ZLTOOLKIT_INCLUDE_DIRS ${ZLTOOLKIT_INCLUDE_DIR})

include(FindPackageHandleStandardArgs)

find_package_handle_standard_args(ZLTOOLKIT DEFAULT_MSG ZLTOOLKIT_LIBRARY ZLTOOLKIT_INCLUDE_DIR)

repository: mackenbaron/ZLMediaPlayer

repo_name: mackenbaron/ZLMediaPlayer

extension: cmake


text:
/*!
 * Start Bootstrap - Landing Page Bootstrap Theme (http://startbootstrap.com)
 * Code licensed under the Apache License v2.0.
 * For details, see http://www.apache.org/licenses/LICENSE-2.0.
 */

body,
html {
    width: 100%;
    height: 100%;
}

body,
h1,
h2,
h3,
h4,
h5,
h6 {
    font-family: "","Helvetica Neue",Helvetica,Arial,sans-serif;
    font-weight: 500;
}

.lead {
    font-size: 18px;
    font-weight: 400;
    margin-top: 25%;
}

.intro-header {
    padding-top: 50px; /* If you're making other pages, make sure there is 50px of padding to make sure the navbar doesn't overlap content! */
    padding-bottom: 50px;
    text-align: center;
    color: #f8f8f8;
    background: url(../img/banner.jpg) no-repeat center center;
    background-size:cover;
}

.intro-headers{
    padding-top: 50px; /* If you're making other pages, make sure there is 50px of padding to make sure the navbar doesn't overlap content! */
    padding-bottom: 50px;
    text-align: center;
    color: #1C6687;
    background: url(../img/intro-bg_bither.jpg) no-repeat center center;
    background-size:cover;
}

.intro-dividers {
    /*width: 400px;*/
    /*margin-left: 7%;*/
    border-top: 1px solid #1C6687;
    border-bottom: 1px solid rgba(0,0,0,0.2);
}
.intro-messages {
    position: relative;
    padding-top: 20%;
    padding-bottom: 20%;
    width:50%;
    /*left:50%;*/
    margin: 0 auto;
    padding-right: 0%;
}

.intro-message {
    position: relative;
    padding-top: 20%;
    padding-bottom: 20%;
    width:50%;
    left:50%;
    padding-right: 0%;
}

.intro-message > h1 {
    margin: 0;
    /*text-shadow: 2px 2px 3px rgba(0,0,0,0.6);*/
    text-align: right;
    font-size: 5em;
}

.intro-divider {
    /*width: 400px;*/
    margin-left: 9%;
    border-top: 1px solid #f8f8f8;
    border-bottom: 1px solid rgba(0,0,0,0.2);
}

.intro-message > h3 {
    /*text-shadow: 2px 2px 3px rgba(0,0,0,0.6);*/
    text-align: right;
}

@media(max-width:767px) {
    .intro-message {
        padding-bottom: 15%;
    }

    .intro-message > h1 {
        font-size: 3em;
    }

    ul.intro-social-buttons > li {
        display: block;
        margin-bottom: 20px;
        padding: 0;
    }

    ul.intro-social-buttons > li:last-child {
        margin-bottom: 0;
    }

    .intro-divider {
        width: 100%;
    }
}

.network-name {
    text-transform: uppercase;
    font-size: 14px;
    font-weight: 400;
    letter-spacing: 2px;
}

.content-section-a {
    padding: 50px 0;
    background-color: #f8f8f8;
}

.content-section-b {
    padding: 50px 0;
    /*border-top: 1px solid #e7e7e7;*/
    /*border-bottom: 1px solid #e7e7e7;*/
}

.section-heading {
    margin-bottom: 30px;
}

.section-heading-spacer {
    float: left;
    width: 100%;
    border-top: 3px solid #e7e7e7;
}

.banner {
    padding: 100px 0;
    color: #f8f8f8;
    background: url(../img/banner-bg.jpg) no-repeat center center;
    background-size: cover;
}

.banner h2 {
    margin: 0;
    text-shadow: 2px 2px 3px rgba(0,0,0,0.6);
    font-size: 3em;
}

.banner ul {
    margin-bottom: 4px;
}

.banner-social-buttons {
    float: right;
    margin-top: 0;
}

@media(max-width:1199px) {
    ul.banner-social-buttons {
        float: left;
        margin-top: 15px;
    }
}

@media(max-width:767px) {
    .banner h2 {
        margin: 0;
        text-shadow: 2px 2px 3px rgba(0,0,0,0.6);
        font-size: 3em;
    }

    ul.banner-social-buttons > li {
        display: block;
        margin-bottom: 20px;
        padding: 0;
    }

    ul.banner-social-buttons > li:last-child {
        margin-bottom: 0;
    }
    .lead{margin-top: 0px}
    .mobile-language{float: left !important;
        width: 100px !important;padding: 0px!important;margin-left:0px !important;height:100px}
    .page-scroll{width:100% !important;}
    .mobile-menu{float:left !important; width: 100% !important;}
    .navbar-collapse{max-height: 380px !important;}
    .mobile-language>.dropdown-menu{
        top:80%;
    }
    .navbar-brand{font-size: 14px !important;}
    .navbar-menu,.menu-language{position:static !important;}
    #group_show{
        left:-168px
    }
    .ul-img{text-align: center}
    .list-inline>li{
        padding-right: 0px;
        padding-left: 0px;
    }
    body,
    h1,
    h2,
    h3,
    h4,
    h5,
    h6 {
        font-family: "","Helvetica Neue",Helvetica,Arial,sans-serif;
        font-weight: 400;
    }

   .catalogue h5{font-size: 15px !important;}
   .an_img{
    width:100%;

    }

}

footer {
    padding: 50px 0;
    background-color: #f8f8f8;
}

p.copyright {
    /*margin: 15px 0 0 15px;*/
}
.ul-img li{
    margin-right:10px;
}
#group_show{
    padding: 10px;
    position: absolute;
    text-align: left;
    top:-100px;
    left:-240px;
    z-index: 100;
    width:280px;
    background: white;
    border-radius: 5px;
    -moz-box-shadow:2px 2px 5px #333333; -webkit-box-shadow:2px 2px 5px #333333; box-shadow:2px 2px 5px #333333;
}
.telegram{
    width:50px;
    display: inline-block;
}
.span_qq{
    font-size: 14px;
    font-weight: 400;
}
.menu-language{padding: 15px 0;margin-left: 10px;position: absolute;
    right:0;top:0}
/*.mobile-menu{margin-right: 100px}*/
/*.mobile-menu > li>a {padding: 15px 10px 15px 10px !important;}*/
.navbar-menu{position:relative}
.menu-language>.dropdown-menu{
    min-width:100px!important;
    width:100px !important;
    right: -100px;
}
@media(min-width:767px) and (max-width:995px){
    .mobile-menu>li>a{padding-left:10px;padding-right: 10px}
    .mobile-menu{margin-right:0px !important;}
    .intro-message{padding-right: 0px !important;}
    .intro-divider{width:370px !important;margin-left: -2%}
    .title-hide{display: none}
    .menu-control{
        display: none !important;
    }

}
@media(min-width:996px) and (max-width:1199px){

.intro-divider{width:414px !important;margin-left: 14% !important;}
    .menu-control{
        display: none !important;
    }

}
.ul-img{
    margin-left: -30px;
    text-align: center;
}
.menu-l,.menu-l:hover,.menu-l:focus{background-color: transparent !important;color: #428bca !important;}
.intro-message>.list-inline>li{
    display: inherit;
}
.qq-list{
    padding-left: 10px;
}
.qq-list li{
    padding: 5px 0;
    margin-right:0px !important;
}
@media(max-width:768px){
    .intro-header{
        padding-top: 50px;
        padding-bottom: 50px;
        background: url("../img/m_banner.jpg") no-repeat center center;
        background-size: cover;
    }
    .intro-message{
        position: relative;
        padding-top: 50%;
        padding-bottom: 0%;
        padding-right: 0%;
        width: 100%;
        left:0%;

    }
    .intro-message>h1,.intro-message>h3{
        text-align: center !important;
    }
    .intro-divider{
        margin:20px auto ;
        width:60% !important;
    }
    .selectbtn{
        margin-left: 0px;
        margin-right: 10px;
    }
    .intro-message>.list-inline>li{
        display: inline-block;
    }
    #menu-control{
        display: none;
    }

}
hr{
    margin-top: 10px !important;
    margin-bottom: 10px !important;
}

gha_language: HTML


text:
@proceedings{ws-2016-noisy,
    title = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    editor = "Han, Bo  and
      Ritter, Alan  and
      Derczynski, Leon  and
      Xu, Wei  and
      Baldwin, Tim",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3900",
}
@inproceedings{plank-2016-processing,
    title = "Processing non-canonical or noisy text: fortuitous data to the rescue",
    author = "Plank, Barbara",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3901",
    pages = "1",
}
@inproceedings{chang-2016-entity,
    title = "From Entity Linking to Question Answering {--} Recent Progress on Semantic Grounding Tasks",
    author = "Chang, Ming-Wei",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3902",
    pages = "2",
}
@inproceedings{torisawa-2016-disaana,
    title = "{DISAANA} and D-{SUMM}: Large-scale Real Time {NLP} Systems for Analyzing Disaster Related Reports in Tweets",
    author = "Torisawa, Kentaro",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3903",
    pages = "3",
}
@inproceedings{ljubesic-fiser-2016-private,
    title = "Private or Corporate? Predicting User Types on Twitter",
    author = "Ljube{\v{s}}i{\'c}, Nikola  and
      Fi{\v{s}}er, Darja",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3904",
    pages = "4--12",
}
@inproceedings{martinez-alonso-etal-2016-noisy,
    title = "From Noisy Questions to {M}inecraft Texts: Annotation Challenges in Extreme Syntax Scenario",
    author = "Mart{\'\i}nez Alonso, H{\'e}ctor  and
      Seddah, Djam{\'e}  and
      Sagot, Beno{\^\i}t",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3905",
    pages = "13--23",
}
@inproceedings{asakura-etal-2016-disaster,
    title = "Disaster Analysis using User-Generated Weather Report",
    author = "Asakura, Yasunobu  and
      Hangyo, Masatsugu  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3906",
    pages = "24--32",
}
@inproceedings{reichel-lendvai-2016-veracity,
    title = "Veracity Computing from Lexical Cues and Perceived Certainty Trends",
    author = "Reichel, Uwe  and
      Lendvai, Piroska",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3907",
    pages = "33--42",
}
@inproceedings{van-der-wees-etal-2016-simple,
    title = "A Simple but Effective Approach to Improve {A}rabizi-to-{E}nglish Statistical Machine Translation",
    author = "van der Wees, Marlies  and
      Bisazza, Arianna  and
      Monz, Christof",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3908",
    pages = "43--50",
}
@inproceedings{andy-etal-2016-name,
    title = "Name Variation in Community Question Answering Systems",
    author = "Andy, Anietie  and
      Sekine, Satoshi  and
      Rwebangira, Mugizi  and
      Dredze, Mark",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3909",
    pages = "51--60",
}
@inproceedings{wang-etal-2016-whose,
    title = "Whose Nickname is This? Recognizing Politicians from Their Aliases",
    author = "Wang, Wei-Chung  and
      Chen, Hung-Chen  and
      Ji, Zhi-Kai  and
      Hsiao, Hui-I  and
      Chiu, Yu-Shian  and
      Ku, Lun-Wei",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3910",
    pages = "61--69",
}
@inproceedings{jain-etal-2016-towards,
    title = "Towards Accurate Event Detection in Social Media: A Weakly Supervised Approach for Learning Implicit Event Indicators",
    author = "Jain, Ajit  and
      Kasiviswanathan, Girish  and
      Huang, Ruihong",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3911",
    pages = "70--77",
}
@inproceedings{albogamy-ramsay-2016-unsupervised,
    title = "Unsupervised Stemmer for {A}rabic Tweets",
    author = "Albogamy, Fahad  and
      Ramsay, Allan",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3912",
    pages = "78--84",
}
@inproceedings{su-etal-2016-topic,
    title = "Topic Stability over Noisy Sources",
    author = "Su, Jing  and
      Greene, Derek  and
      Boydell, Ois{\'\i}n",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3913",
    pages = "85--93",
}
@inproceedings{pain-etal-2016-analysis,
    title = "Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance",
    author = "Pain, Julie  and
      Levacher, Jessie  and
      Quinquenel, Adam  and
      Belz, Anja",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3914",
    pages = "94--101",
}
@inproceedings{belainine-etal-2016-named,
    title = "Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets",
    author = "Belainine, Billal  and
      Fonseca, Alexsandro  and
      Sadat, Fatiha",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3915",
    pages = "102--111",
}
@inproceedings{costa-bertaglia-volpe-nunes-2016-exploring,
    title = "Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization",
    author = "Costa Bertaglia, Thales Felipe  and
      Volpe Nunes, Maria das Gra{\c{c}}as",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3916",
    pages = "112--120",
}
@inproceedings{boudin-etal-2016-document,
    title = "How Document Pre-processing affects Keyphrase Extraction Performance",
    author = "Boudin, Florian  and
      Mougard, Hugo  and
      Cram, Damien",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3917",
    pages = "121--128",
}
@inproceedings{ikeda-etal-2016-japanese,
    title = "{J}apanese Text Normalization with Encoder-Decoder Model",
    author = "Ikeda, Taishi  and
      Shindo, Hiroyuki  and
      Matsumoto, Yuji",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3918",
    pages = "129--137",
}
@inproceedings{strauss-etal-2016-results,
    title = "Results of the {WNUT}16 Named Entity Recognition Shared Task",
    author = "Strauss, Benjamin  and
      Toma, Bethany  and
      Ritter, Alan  and
      de Marneffe, Marie-Catherine  and
      Xu, Wei",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3919",
    pages = "138--144",
}
@inproceedings{limsopatham-collier-2016-bidirectional,
    title = "Bidirectional {LSTM} for Named Entity Recognition in Twitter Messages",
    author = "Limsopatham, Nut  and
      Collier, Nigel",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3920",
    pages = "145--152",
}
@inproceedings{espinosa-etal-2016-learning,
    title = "Learning to recognise named entities in tweets by exploiting weakly labelled data",
    author = "Espinosa, Kurt Junshean  and
      Batista-Navarro, Riza Theresa  and
      Ananiadou, Sophia",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3921",
    pages = "153--163",
}
@inproceedings{sikdar-gamback-2016-feature,
    title = "Feature-Rich Twitter Named Entity Recognition and Classification",
    author = {Sikdar, Utpal Kumar  and
      Gamb{\"a}ck, Bj{\"o}rn},
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3922",
    pages = "164--170",
}
@inproceedings{partalas-etal-2016-learning,
    title = "Learning to Search for Recognizing Named Entities in Twitter",
    author = "Partalas, Ioannis  and
      Lopez, C{\'e}dric  and
      Derbas, Nadia  and
      Kalitvianski, Ruslan",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3923",
    pages = "171--177",
}
@inproceedings{dugas-nichols-2016-deepnnner,
    title = "{D}eep{NNNER}: Applying {BLSTM}-{CNN}s and Extended Lexicons to Named Entity Recognition in Tweets",
    author = "Dugas, Fabrice  and
      Nichols, Eric",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3924",
    pages = "178--187",
}
@inproceedings{gerguis-etal-2016-asu,
    title = "{ASU}: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.",
    author = "Gerguis, Michel Naim  and
      Salama, Cherif  and
      El-Kharashi, M. Watheq",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3925",
    pages = "188--196",
}
@inproceedings{le-etal-2016-uqam,
    title = "{UQAM}-{NTL}: Named entity recognition in Twitter messages",
    author = "Le, Ngoc Tan  and
      Mallek, Fatma  and
      Sadat, Fatiha",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3926",
    pages = "197--202",
}
@inproceedings{mishra-diesner-2016-semi,
    title = "Semi-supervised Named Entity Recognition in noisy-text",
    author = "Mishra, Shubhanshu  and
      Diesner, Jana",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3927",
    pages = "203--212",
}
@inproceedings{han-etal-2016-twitter,
    title = "Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text",
    author = "Han, Bo  and
      Rahimi, Afshin  and
      Derczynski, Leon  and
      Baldwin, Timothy",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3928",
    pages = "213--217",
}
@inproceedings{jayasinghe-etal-2016-csiro,
    title = "{CSIRO} {D}ata61 at the {WNUT} Geo Shared Task",
    author = "Jayasinghe, Gaya  and
      Jin, Brian  and
      Mchugh, James  and
      Robinson, Bella  and
      Wan, Stephen",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3929",
    pages = "218--226",
}
@inproceedings{chi-etal-2016-geolocation,
    title = "Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features",
    author = "Chi, Lianhua  and
      Lim, Kwan Hui  and
      Alam, Nebula  and
      Butler, Christopher J.",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3930",
    pages = "227--234",
}
@inproceedings{miura-etal-2016-simple,
    title = "A Simple Scalable Neural Networks based Model for Geolocation Prediction in Twitter",
    author = "Miura, Yasuhide  and
      Taniguchi, Motoki  and
      Taniguchi, Tomoki  and
      Ohkuma, Tomoko",
    booktitle = "Proceedings of the 2nd Workshop on Noisy User-generated Text ({WNUT})",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://www.aclweb.org/anthology/W16-3931",
    pages = "235--239",
}

repository: emorynlp/nlprankings

repo_name: emorynlp/nlprankings

gha_license_id: NOASSERTION

gha_language: TeX


text:
@book {GenProUserGuide,
       authors     = {Gacnik, B., and B. Lackman},
       year        = {1983},
       title       = {{GenPro: GENeral Scientific Data PROcessor: User Guide}, % , Release 1.0
       number      = {NCAR/TN-208+IA},
       doi         = {10.5065/D6H70CRD},
       url         = {https://opensky.ucar.edu/islandora/object/technotes%3A310},
       institution = {National Center for Atmospheric Science},
       address     = {Boulder, Colorado}
}

@book {GenProRefMan,
       author      = {Gacnik, B., and B. Lackman},
       year        = {1983},
       title       = {GenPro: GEN Scientific Data Processor; Reference Manual}, %, Release 1.0},
       number      = {NCAR/TN-209+IA},
       doi         = {10.5065/D6V122Q1},
       url         = {https://opensky.ucar.edu/islandora/object/technotes%3A311},
       institution = {National Center for Atmospheric Science},
       address     = {Boulder, Colorado}
}

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repo_name: NCAR/GENPRO

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repository: bibendi/zoo-presto

path: /themes/rip/Presthemes Buddie Prestashop Theme_files/global(1).css

repo_name: bibendi/zoo-presto


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  width: 64.9922px;
  background: rgb(238, 240, 240) none repeat scroll 0% 0% / auto padding-box border-box;
  border: 0px none rgb(95, 95, 95);
  border-radius: 4px 4px 4px 4px;
  font: normal normal 300 normal 14px / 36px Muli, sans-serif;
  outline: rgb(95, 95, 95) none 0px;
}

.Plugin__row .Plugin__icon-image .Plugin__icon-image__image {
  box-sizing: border-box;
  color: rgb(95, 95, 95);
  height: 39.9844px;
  max-height: 100%;
  max-width: 100%;
  text-align: center;
  text-decoration: none solid rgb(95, 95, 95);
  vertical-align: middle;
  width: 39.9844px;
  border: 0px none rgb(95, 95, 95);
  border-radius: 4px 4px 4px 4px;
  font: normal normal 300 normal 14px / 36px Muli, sans-serif;
  outline: rgb(95, 95, 95) none 0px;
}

.Plugin__row .Plugin__icon-image .Plugin__icon-image__icon {
  bottom: 0px;
  box-sizing: border-box;
  color: rgb(95, 95, 95);
  display: inline-block;
  height: 19.5px;
  text-align: center;
  text-decoration: none solid rgb(95, 95, 95);
  width: 20.0156px;
  border: 0px none rgb(95, 95, 95);
  margin: 10px 0px 0px;
  outline: rgb(95, 95, 95) none 0px;
}

.Plugin__row .Plugin__title {
  box-sizing: border-box;
  padding-top: 7px;
  padding-left: 10px;
  color: rgb(9, 163, 238);
  text-decoration: none solid rgb(9, 163, 238);
  text-overflow: ellipsis;
  white-space: nowrap;
  border: 0px none rgb(9, 163, 238);
  font: normal normal 300 normal 14px / 22px Muli, sans-serif;
  outline: rgb(9, 163, 238) none 0px;
  transition: all 0.35s ease 0s;
}

.Plugin__row .Plugin__update-button {
  bottom: -5px;
  box-sizing: border-box;
  color: rgb(95, 95, 95);
  cursor: pointer;
  display: inline-block;
  height: 19.9922px;
  left: 0px;
  position: relative;
  right: 0px;
  text-decoration: none solid rgb(255, 255, 255);
  top: 5px;
  width: 19.9922px;
  margin: 0px 0px 0px 17px;
  outline: rgb(255, 255, 255) none 0px;
  transition: all 0.35s ease 0s;
}

.Plugin__row .Plugin__delete-button {
  bottom: -5px;
  box-sizing: border-box;
  color: rgb(255, 255, 255);
  cursor: pointer;
  display: inline-block;
  height: 19.9922px;
  left: 0px;
  position: relative;
  right: 0px;
  text-decoration: none solid rgb(255, 255, 255);
  top: 5px;
  width: 19.9922px;
  background: rgb(237, 75, 75) none repeat scroll 0% 0% / auto padding-box border-box;
  border: 0.984375px solid rgba(0, 0, 0, 0);
  border-radius: 50px 50px 50px 50px;
  font: normal normal 300 normal 14px / 22px Muli, sans-serif;
  margin: 0px 0px 0px 17px;
  outline: rgb(255, 255, 255) none 0px;
  transition: all 0.35s ease 0s;
}

.Plugin__row .Plugin__delete-button:after {
  bottom: -0.492188px;
  box-sizing: border-box;
  color: rgb(255, 255, 255);
  content: '×';
  cursor: pointer;
  display: block;
  height: 21px;
  left: 0px;
  position: absolute;
  right: 0px;
  text-align: center;
  text-decoration: none solid rgb(255, 255, 255);
  top: -2.5px;
  width: 18.0234px;
  border: 0px none rgb(255, 255, 255);
  font: normal normal 600 normal 17px / 22px Muli, sans-serif;
  outline: rgb(255, 255, 255) none 0px;
}

.Plugin__row .Plugin__info {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  flex-grow: 2;
}

.Plugin__row + .Plugin__row {
  border-top: 1px solid #ddd;
}

repository: BuildFire/reactFolderPluginTempalte

repo_name: BuildFire/reactFolderPluginTempalte

gha_license_id: MIT


text:
This BibTeX file is made available under the Public Domain Dedication and License v1.0 whose full text can be found in the accompanying README file or online at http://www.opendatacommons.org/licenses/pddl/1.0/

@Article{2005-Seio-USS,
	Author = "Kohji Seio and Hisashi Ukawa and Koh-ichiro Shohda and Mitsuo Sekine",
	Title = "{Computational evaluation of intermolecular interactions of a universal base 3-nitropyrrole in stacked dimers and DNA duplexes}",
	Journal = "J. Biomol. Struct. Dyn.",
	Volume = "22",
	Number = "6",
	Pages = "735–746",
	Note = "The end result was a force field parametrization of 3NP based on quantum chemical calculations for stacks with canonical bases.",
	doi = "10.1080/07391102.2005.10507040",
	keywords = "force fields",
	localfile = {2005 - Computational evaluation of intermolecular interactions of a universal base 3-nitropyrrole in stacked dimers and DNA duplexes.pdf},
	methods = "MP2/6-31G*, CHELPG, AMBER",
	rating = "2",
	read = "2013-05-10",
	systems = "3-nitropyrrole, 3NP, 3NP/guanine, 3NP/adenine, 3NP/cytosine, 3NP/uracil",
	year = 2005
}

@Article{2006-Sinnokrot-Sherrill,
	Author = "Mutasem Omar Sinnokrot and C. David Sherrill",
	Title = "{High-accuracy quantum mechanical studies of π-π interactions in benzene dimers}",
	Journal = "J. Phys. Chem. A",
	Volume = "110",
	Pages = "10656–10668",
	doi = "10.1021/jp0610416",
	keywords = "benzene",
	localfile = {2006 - High-accuracy quantum mechanical studies of pi-pi interactions in benzene dimers.pdf},
	methods = "CCSD(T), MP2",
	systems = "benzene dimer",
	year = 2006
}

@Article{2013-Sponer-SMJBO,
	Author = "Jiří Šponer and Judit E. Šponer and Arnost Mladek and Petr Jurečka and Pavel Banas and Michal Otyepka",
	Title = "{Nature and magnitude of aromatic base stacking in DNA and RNA: quantum chemistry, molecular mechanics, and experiment}",
	Journal = "Biopolymers",
	Volume = "99",
	Number = "12",
	Pages = "978–988",
	Note = "Page 986: We suggest that to make real step forward requires to attempt stacking computations in the context of complete nucleic acids build blocks, i.e., with inclusion of the sugar-phosphate backbone.",
	doi = "10.1002/bip.22322",
	keywords = "aromatic stacking",
	localfile = {2013 - Nature and amgnitude of aromatic base stacking in DNA and RNA: quantum chemistry, molecular mechanics, and experiment.pdf},
	rating = "2",
	read = "2014-02-10",
	type = "Review",
	year = 2013
}

repository: langner/library

repo_name: langner/library

filename: molecular stacking.bib


text:
@misc{State of the Art 1,
	author = {Suchita R.Wankhade, Nekita A.Chavhan},
	title = {A REVIEW ON DATA COLLECTION METHOD WITH
	SINK NODE IN WIRELESS SENSOR NETWORK},
	journaltitle = {International Journal of Distributed and Parallel Systems},
	date = { January 2013},
	volume = {4},
	number = {1},
	pages = {67-74},
}

@misc{State of the Art 2,
	author = {Ying Zhang, Fengjun Wang , Miao Li},
	title = {Research on Reliability Optimization Method for
	Mesh Network Communication Based on Node
	Congestion Degree },
	journaltitle = {IEEE},
	date = {2010},
}

@misc{State of the Prior 1,
	author = {Suzanne Shelley},
	title = {Vibration Monitoring: Keeping a finger on the pulse of plant operations},
	journaltitle = {Chemical Engineering Progress},
	date = {October 2006},
	volume = {102},
	number = {10},
	pages = {8},
}

@misc{State of the Prior 2,
	author = {David C. Mazur, John A. Kay, Kenneth D. Mazur},
	title = {Advancements in Vibration Monitoring
	for the Mining Industry},
	journaltitle = {IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS},
	date = {September/October 2015},
	volume = {51},
	number = {5},
	pages = {4321-4328},
}


text:
@book{ThomasHCormen2009,
abstract = {If you had to buy just one text on algorithms, Introduction to Algorithms is a magnificent choice. The book begins by considering the mathematical foundations of the analysis of algorithms and maintains this mathematical rigor throughout the work. The tools developed in these opening sections are then applied to sorting, data structures, graphs, and a variety of selected algorithms including computational geometry, string algorithms, parallel models of computation, fast Fourier transforms (FFTs), and more. This book's strength lies in its encyclopedic range, clear exposition, and powerful analysis. Pseudo-code explanation of the algorithms coupled with proof of their accuracy makes this book is a great resource on the basic tools used to analyze the performance of algorithms.},
address = {Cambridge, Massachusetts 02142},
author = {{Thomas H. Cormen}, Charles E. Leiserson},
edition = {Third},
file = {:Users/patmol/Downloads/Introduction to Algorithms Third Edition.pdf:pdf},
isbn = {9780262033848},
keywords = {algortihms},
mendeley-tags = {algortihms},
pages = {1292},
publisher = {The MIT Press},
title = {{Introduction to Algorithms, Third Edition}},
url = {http://mitpress.mit.edu/catalog/item/default.asp?ttype=2{\&}tid=11866},
year = {2009}
}

repository: cevrard-unamur/slip-compiler

repo_name: cevrard-unamur/slip-compiler


text:
%%% -*-BibTeX-*-
@inproceedings{CVPR2020REVERIE1,
    author      = {Yuankai Qi and Qi Wu and
                   Peter Anderson and  Xin Wang and William Yang Wang and
                    Chunhua Shen and Anton {van den Hengel}},
    title       = {{REVERIE}: Remote Embodied Visual Referring Expression in Real Indoor Environments},
    year        = {2020},
    pages       = {},
    volume      = {},
    publisher   = {},
    eprint      = {1904.10151},
    booktitle   = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'20)},
    address     = {},
    venue       = {CVPR},
    url         = {},
    project     = {},
    note      = {Oral presentation},
}


text:
* {
    transition: all 0.5s;
}

img {
    width: 100%;
    margin:15px auto;
    transition: all 0.3s;
}

img:hover {
    /*transform: scale(1.05);*/
    box-shadow:0 0 3px 3px gray;
}

.content {
    margin-top: 60px;
}

/*.content_imgBox {
    margin: 0 30px;
}*/


text:
#
# Utilities to abstract of toolchain' and platform' specifics
#

set(TXVC_C_FLAGS
    -g
    -Wall
    -Wextra
    -Wpedantic
    -Wno-gnu-zero-variadic-macro-arguments
    -Werror
    -ffunction-sections
    -fdata-sections
    )

set(TXVC_LINK_EXE_FLAGS
    -Wl,--no-undefined
    -Wl,--gc-sections
    -Wl,--version-script=${CMAKE_CURRENT_LIST_DIR}/exe_exports.txt
    )

function(add_txvc_library target)
    cmake_parse_arguments(ARG
        ""
        ""
        "SRCS;INCDIRS;DEPENDS" ${ARGN})
    add_library(${target} OBJECT ${ARG_SRCS})
    set_property(TARGET ${target} PROPERTY C_STANDARD 11)
    target_compile_options(${target} PUBLIC ${TXVC_C_FLAGS})
    if(ARG_INCDIRS)
        target_include_directories(${target} PUBLIC ${ARG_INCDIRS})
    endif()
    if(ARG_DEPENDS)
        target_link_libraries(${target} ${ARG_DEPENDS})
    endif()
endfunction()

function(add_txvc_executable target)
    cmake_parse_arguments(ARG
        ""
        "OUTPUT_NAME"
        "SRCS;DEPENDS" ${ARGN})
    add_executable(${target} ${ARG_SRCS})
    set_property(TARGET ${target} PROPERTY C_STANDARD 11)
    target_compile_options(${target} PRIVATE ${TXVC_C_FLAGS})
    target_link_options(${target} PRIVATE ${TXVC_LINK_EXE_FLAGS})
    if(ARG_OUTPUT_NAME)
        set_property(TARGET ${target} PROPERTY OUTPUT_NAME ${ARG_OUTPUT_NAME})
    endif()
    if(ARG_DEPENDS)
        target_link_libraries(${target} ${ARG_DEPENDS})
    endif()
endfunction()

function(txvc_detect_arch output_var)
    execute_process(
        COMMAND echo [===[
#if defined(__x86_64__)
"amd64"
#else
#error Unknown architecture
#endif
]===]
        COMMAND ${CMAKE_C_COMPILER} ${CMAKE_C_FLAGS} ${TXVC_C_FLAGS} -P -E -
        RESULT_VARIABLE status
        OUTPUT_VARIABLE stdout
        OUTPUT_STRIP_TRAILING_WHITESPACE
        ERROR_VARIABLE stderr
        ERROR_STRIP_TRAILING_WHITESPACE)
    if (NOT (status EQUAL 0))
        message(FATAL_ERROR "Can not detect arch: \"${stderr}\"")
    endif()
    string(REGEX REPLACE "[ \r\n\t\"]" "" arch "${stdout}")
    message(STATUS "Architecture is: ${arch}")
    set(${output_var} ${arch} PARENT_SCOPE)
endfunction()

txvc_detect_arch(TXVC_ARCH)

branch_name: refs/heads/main


text:
@inproceedings{Kazi:2016:MAS:2858036.2858386,
 acmid = {2858386},
 address = {New York, NY, USA},
 author = {Kazi, Rubaiat Habib and Grossman, Tovi and Umetani, Nobuyuki and Fitzmaurice, George},
 booktitle = {Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems},
 doi = {10.1145/2858036.2858386},
 isbn = {978-1-4503-3362-7},
 keywords = {amplifiers, principles of animation, sketching, stylized},
 location = {San Jose, California, USA},
 numpages = {11},
 pages = {4599--4609},
 publisher = {ACM},
 series = {CHI '16},
 title = {Motion Amplifiers: Sketching Dynamic Illustrations Using the Principles of 2D Animation},
 url = {http://doi.acm.org/10.1145/2858036.2858386},
 year = {2016}
}

repository: jmatejka/group-website

repo_name: jmatejka/group-website


text:
@import url("https://fonts.googleapis.com/css2?family=Roboto:wght@100&display=swap");
@import url("https://fonts.googleapis.com/css2?family=Titillium+Web:wght@200&display=swap");
:root {
  --main-bg-color: rgba(85, 255, 85, 0.734);
}

li {
  list-style: none;
}

.barIcon:focus {
  outline: none !important;
  -webkit-box-shadow: none !important;
          box-shadow: none !important;
}

* {
  -webkit-box-sizing: border-box;
          box-sizing: border-box;
  padding: 0;
  margin: 0;
  font-family: 'Roboto', sans-serif;
  /* footer */
}

* a {
  color: orange !important;
  font-weight: bold;
  text-decoration: none;
}

* header {
  background: #081621;
  font-size: 17px;
}

* header .navbar {
  background: #081621 !important;
}

* .carousel-inner img {
  height: 500px;
}

* .price-sec .ptables-head {
  font-family: 'Domine', serif;
  -webkit-box-shadow: 0px 6px 14px rgba(0, 0, 0, 0.3);
          box-shadow: 0px 6px 14px rgba(0, 0, 0, 0.3);
  padding: 30px 0;
  margin: 0px 0px 100px 0px;
  border-radius: 3px;
  background: linear-gradient(25deg, #feae3f 15%, transparent 0%), linear-gradient(-25deg, #f321d7 15%, transparent 0%), linear-gradient(-150deg, #64b5f6 15%, transparent 0%), linear-gradient(150deg, #464545 15%, transparent 0%);
}

* .top-slider img {
  width: 100%;
  height: 320px;
}

* .footer {
  background: #081621;
}

* .footer h6 {
  text-transform: uppercase;
  letter-spacing: 2px;
  margin-bottom: 0;
  font-size: 14px;
}

* .footer-box {
  height: 70px;
  width: 250px;
  border: 1px solid rgba(128, 128, 128, 0.637);
  border-radius: 50px;
  margin: 25px 0;
}

* .footer-box:hover {
  border: 1px solid var(--root-color);
  background: rgba(0, 0, 0, 0.221);
}

* .footer-box .fa-phone {
  border-right: 1px solid rgba(128, 128, 128, 0.637);
  color: #fff;
}

* .footer-box .fa-search-location {
  border-right: 1px solid rgba(128, 128, 128, 0.637);
  color: #fff;
}

* .footer-list li {
  list-style: none;
}

* .footer-list a {
  display: inline-block;
  padding: 10px 0;
  font-size: 16px;
  text-decoration: none;
  color: rgba(128, 128, 128, 0.637);
}

* .footer-list a:hover {
  text-decoration: none;
  color: orange;
}

* .footer .social-icons li {
  list-style: none;
}

* .footer .social-icons li a:nth-child(1) {
  margin-left: 0;
}

* .social-icons {
  padding-left: 0;
}

* .social-icons .fab::before {
  padding-left: 7px;
}

* .footer .social-icons li a {
  display: inline-block;
  margin: 25px;
  border: 1px solid #fff;
  padding: 10px;
  border-radius: 100%;
  width: 58px;
  font-size: 150%;
  color: #fff;
}

* .footer .social-icons li a:hover {
  border: 1px solid orange;
  background-color: transparent;
  color: var(--root-color);
}

* .stay-connect-layer {
  color: #f1f1f1;
}
/*# sourceMappingURL=style.css.map */


text:
h1{
	font-size: 40px;
	background-color:#E44F2B;
	text-align: center;
}
body{
	font-size: 16px;
	background-color:#292929;
}
div{
	font-size: 20px;
	background: rgba(29,29,29,.5);
	color:#ffff;
	width: 500px;
}
form{
	width: 50%;
	border: 1px solid #ccc;
	margin: 20px;
	padding: 20px;

}

p{
	font-family: "Arial";
	font-size: 14px;
}

label{
	font-size: 14px;
	display: block;
	width: 100%;
	font-family: "Arial";
}
textarea{
	resize:vertical;
	max-height: 300px;
	min-height: 100px;
}

input, textarea{
	margin-bottom: 20px;
	width: 100%;
	padding: 10px;
	/*border: 1px solid #ccc;*/
	box-sizing:border-box;
}
input:focus, textarea:focus {
	border: 1px solid #1668c4;
}
input[type="submit"]{
	margin-bottom:0;
	background: #E44F2B;
	color:#fff;
	border:none;
}

input[type="submit"]:hover{
	background:#E44F2B;
	cursor:pointer;
}


text:
@article{Abbott:ScoX1O12017,
 abstract = {We present the results of a semicoherent search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1, using data from the first Advanced LIGO observing run. The search method uses details of the modeled, parametrized continuous signal to combine coherently data separated by less than a specified coherence time, which can be adjusted to trade off sensitivity against computational cost. A search was conducted over the frequency range 25– ##IMG## [http://ej.iop.org/images/0004-637X/847/1/47/apjaa86f0ieqn1.gif] $2000\,\mathrmHz$ , spanning the current observationally constrained range of binary orbital parameters. No significant detection candidates were found, and frequency-dependent upper limits were set using a combination of sensitivity estimates and simulated signal injections. The most stringent upper limit was set at ##IMG## [http://ej.iop.org/images/0004-637X/847/1/47/apjaa86f0ieqn2.gif] $175\,\mathrmHz$ , with comparable limits set across the most sensitive frequency range from 100 to ##IMG## [http://ej.iop.org/images/0004-637X/847/1/47/apjaa86f0ieqn3.gif] $200\,\mathrmHz$ . At this frequency, the 95% upper limit on the signal amplitude h 0 is ##IMG## [http://ej.iop.org/images/0004-637X/847/1/47/apjaa86f0ieqn4.gif] $2.3\times 10^-25$ marginalized over the unknown inclination angle of the neutron star’s spin, and ##IMG## [http://ej.iop.org/images/0004-637X/847/1/47/apjaa86f0ieqn5.gif] $8.0\times 10^-26$ assuming the best orientation (which results in circularly polarized gravitational waves). These limits are a factor of 3–4 stronger than those set by other analyses of the same data, and a factor of ∼7 stronger than the best upper limits set using data from Initial LIGO science runs. In the vicinity of ##IMG## [http://ej.iop.org/images/0004-637X/847/1/47/apjaa86f0ieqn6.gif] $100\,\mathrmHz$ , the limits are a factor of between 1.2 and 3.5 above the predictions of the torque balance model, depending on the inclination angle; if the most likely inclination angle of 44° is assumed, they are within a factor of 1.7.},
 author = {B. P. Abbott et al.},
 journal = {The Astrophysical Journal},
 number = {1},
 pages = {47},
 title = {Upper Limits on Gravitational Waves from Scorpius X-1 from a Model-based Cross-correlation Search in Advanced LIGO Data},
 url = {http://stacks.iop.org/0004-637X/847/i=1/a=47},
 volume = {847},
 year = {2017}
}

repository: mcoughlin/personal-website

repo_name: mcoughlin/personal-website


text:
DESCRIPTION = "InfluxDB is a time series database designed to handle high write and query loads."
HOMEPAGE = "https://www.influxdata.com/products/influxdb-overview/"

LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://src/${GO_IMPORT}/LICENSE;md5=f39a8d10930fb37bd59adabb3b9d0bd6"

RDEPENDS:${PN} = "bash"
RDEPENDS:${PN}-dev = "bash"

GO_IMPORT = "github.com/influxdata/influxdb"

GO_INSTALL = "\
    ${GO_IMPORT}/cmd/influx \
    ${GO_IMPORT}/cmd/influxd \
"

SRC_URI = "\
    git://${GO_IMPORT};protocol=https;branch=1.8;destsuffix=${BPN}-${PV}/src/${GO_IMPORT} \
    file://0001-Use-v2.1.2-xxhash-to-fix-build-with-go-1.17.patch;patchdir=src/${GO_IMPORT} \
    file://influxdb \
    file://influxdb.conf \
"

SRC_URI:append:mipsarch = " file://0001-patch-term-module-for-mips-ispeed-ospeed-termios-abs.patch;patchdir=src/${GO_IMPORT}"

SRCREV = "688e697c51fd5353725da078555adbeff0363d01"

inherit go-mod pkgconfig systemd update-rc.d useradd

# Workaround for network access issue during compile step
# this needs to be fixed in the recipes buildsystem to move
# this such that it can be accomplished during do_fetch task
do_compile[network] = "1"

USERADD_PACKAGES = "${PN}"
USERADD_PARAM:${PN} = "--system -d /var/lib/influxdb -m -s /bin/nologin influxdb"

do_install:prepend() {
    rm ${B}/src/${GO_IMPORT}/build.py
    rm ${B}/src/${GO_IMPORT}/build.sh
    rm ${B}/src/${GO_IMPORT}/Dockerfile*
    sed -i -e "s#usr/bin/sh#bin/sh#g" ${B}/src/${GO_IMPORT}/scripts/ci/run_perftest.sh
}

do_install:append() {
    install -d ${D}${sysconfdir}/influxdb
    install -m 0644 ${WORKDIR}/influxdb.conf ${D}${sysconfdir}/influxdb
    chown -R root.influxdb ${D}${sysconfdir}/influxdb

    install -d ${D}${sysconfdir}/init.d
    install -m 0755 ${WORKDIR}/influxdb ${D}${sysconfdir}/init.d/influxdb

    if [ "${@bb.utils.filter('DISTRO_FEATURES', 'sysvinit', d)}" ] ; then
        install -d ${D}${sysconfdir}/logrotate.d
        install -m 0644 ${S}/src/${GO_IMPORT}/scripts/logrotate ${D}${sysconfdir}/logrotate.d/influxdb
    fi

    if [ "${@bb.utils.filter('DISTRO_FEATURES', 'systemd', d)}" ] ; then
        install -d ${D}${systemd_unitdir}/system
        install -m 0644 ${S}/src/${GO_IMPORT}/scripts/influxdb.service ${D}${systemd_system_unitdir}/influxdb.service
    fi

    # TODO chown
}

INITSCRIPT_PACKAGES = "${PN}"
INITSCRIPT_NAME = "influxdb"
INITSCRIPT_PARAMS = "defaults"

SYSTEMD_SERVICE:${PN} = "influxdb.service"

repository: openembedded/meta-openembedded

repo_name: openembedded/meta-openembedded

gha_language: BitBake


text:
@article{Chen2017b,
 abstract = {We propose a series-expansion thermal tensor network (SETTN) approach for efficient simulations of quantum lattice models. This continuous-time SETTN method is based on the numerically exact Taylor series expansion of the equilibrium density operator e-$β$H (with H the total Hamiltonian and $β$ the imaginary time), and is thus Trotter-error free. We discover, through simulating XXZ spin chain and square-lattice quantum Ising models, that not only the Hamiltonian H, but also its powers Hn, can be efficiently expressed as matrix product operators, which enables us to calculate with high precision the equilibrium and dynamical properties of quantum lattice models at finite temperatures. Our SETTN method provides an alternative to conventional Trotter-Suzuki renormalization-group (RG) approaches, and achieves a very high standard of thermal RG simulations in terms of accuracy and flexibility.},
 author = {Chen, Bin-Bin and Liu, Yun-Jing and Chen, Ziyu and Li, Wei},
 doi = {10.1103/PhysRevB.95.161104},
 journal = {Phys. Rev. B},
 month = {April},
 number = {16},
 pages = {161104},
 title = {Series-Expansion Thermal Tensor Network Approach for Quantum Lattice Models},
 volume = {95},
 year = {2017}
}

repository: wlibuaa/academic-kickstart

repo_name: wlibuaa/academic-kickstart


text:
@ARTICLE{2019ApJ...876...65L,
       author = {{Li}, Chengyuan and {Sun}, Weijia and {de Grijs}, Richard and
         {Deng}, Licai and {Wang}, Kun and {Cordoni}, Giacomo and
         {Milone}, Antonino P.},
        title = "{Extended Main-sequence Turnoffs in the Double Cluster h and {\ensuremath{\chi}} Persei: The Complex Role of Stellar Rotation}",
      journal = {\apj},
     keywords = {Hertzsprung─Russell and C─M diagrams, open clusters and associations: individual: NGC 869 and NGC 884, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies},
         year = 2019,
        month = may,
       volume = {876},
       number = {1},
          eid = {65},
        pages = {65},
          doi = {10.3847/1538-4357/ab15d2},
archivePrefix = {arXiv},
       eprint = {1904.02005},
 primaryClass = {astro-ph.SR},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019ApJ...876...65L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

repository: GiacomoCordoni/academic-kickstart

repo_name: GiacomoCordoni/academic-kickstart


text:
include dbus.inc

SRC_URI = "\
  http://dbus.freedesktop.org/releases/dbus/dbus-${PV}.tar.gz \
  \
  file://will-1.patch \
  file://will-2.patch \
  file://will-3.patch \
  file://will-4.patch \
  file://will-5.patch \
  file://will-6.patch \
  \
  file://improve-threading-stability.patch \
  file://tmpdir.patch \
  file://fix-install-daemon.patch \
  file://0001-Make-the-default-DBus-reply-timeout-configurable.patch \
  file://dbus-1.init \
"

# This is the development version of dbus that will lead to 1.4.x
DEFAULT_PREFERENCE = "-1"

PR = "r2"

SRC_URI[md5sum] = "b3298d5ce0e4ad4731b1e4e1787d56bb"
SRC_URI[sha256sum] = "fe32b49667894cf91b0a97503163be5c4814ecf67259e8feb26d1ba57cb03dae"


text:
DESCRIPTION = "Kernel drivers for the PowerVR SGX chipset found in the omap3 SoCs"
LICENSE = "GPLv2"
LIC_FILES_CHKSUM = "file://COPYING;md5=21228a42e27d1d104b31a83f7c9da935"

TI_BIN_UNPK_CMDS="Y: qY:workdir:Y"
require ../../recipes-ti/includes/ti-eula-unpack.inc

SGXPV = "4_03_00_02"
IMGPV = "1.6.16.3977"
BINFILE := "Graphics_SDK_setuplinux_${SGXPV}.bin"

inherit module

MACHINE_KERNEL_PR_append = "b"
PR = "${MACHINE_KERNEL_PR}"

SRC_URI = "http://software-dl.ti.com/dsps/dsps_public_sw/sdo_sb/targetcontent/gfxsdk/${SGXPV}/exports/${BINFILE} \
           file://Compile-fixes-for-38-kernel.patch \
           file://kernel-30.patch \
          "
SRC_URI[md5sum] = "ff8c1f2b8e4cb42f4ced6a613b081ada"
SRC_URI[sha256sum] = "cdb0bd3964e107733d632aa8224e0537b05c1ffac34befc036423458c8d75255"
TI_BIN_UNPK_WDEXT="/Graphics_SDK_${SGXPV}"
S = "${WORKDIR}${TI_BIN_UNPK_WDEXT}/GFX_Linux_KM"

PVRBUILD = "release"
export KERNELDIR = "${STAGING_KERNEL_DIR}"

INHIBIT_PACKAGE_STRIP = "1"

TI_PLATFORM_omap3 = "omap3630"
TI_PLATFORM_ti816x = "ti81xx"

MODULESLOCATION_omap3 = "dc_omap3430_linux"
MODULESLOCATION_ti816x = "dc_ti81xx_linux"

MAKE_TARGETS = " BUILD=${PVRBUILD} TI_PLATFORM=${TI_PLATFORM}"

do_install() {
	mkdir -p ${D}/lib/modules/${KERNEL_VERSION}/kernel/drivers/gpu/pvr
	cp ${S}/pvrsrvkm.ko \
	   ${S}/services4/3rdparty/${MODULESLOCATION}/omaplfb.ko  \
	   ${S}/services4/3rdparty/bufferclass_ti/bufferclass_ti.ko \
	   ${D}/lib/modules/${KERNEL_VERSION}/kernel/drivers/gpu/pvr
}

repository: Angstrom-distribution/meta-ti

repo_name: Angstrom-distribution/meta-ti

gha_language: BlitzBasic


text:
@InProceedings{10.1007/978-3-540-73354-6_26,
author="Allen, Robert B.
and Japzon, Andrea
and Achananuparp, Palakorn
and Lee, Ki Jung",
editor="Smith, Michael J.
and Salvendy, Gavriel",
title="A Framework for Text Processing and Supporting Access to Collections of Digitized Historical Newspapers",
booktitle="Human Interface and the Management of Information. Interacting in Information Environments",
year="2007",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="235--244",
abstract="Large quantities of historical newspapers are being digitized and OCRd. We describe a framework for processing the OCRd text to identify articles and extract metadata for them. We describe the article schema and provide examples of features that facilitate automatic indexing of them. For this processing, we employ lexical semantics, structural models, and community content. Furthermore, we describe visualization and summarization techniques that can be used to present the extracted events.",
isbn="978-3-540-73354-6"
}

repository: aekpalakorn/academic-kickstart

repo_name: aekpalakorn/academic-kickstart


text:
/* celeste fondo: 4EC2F6 */

/* azul iconos y textos: 0C46A0 */

/* celeste tarjeta  de alerta: BADDFA */

/* rojo: F3501D */

@font-face {
    font-family: roboto;
    src: url('fonts/RobotoSlab-Light.ttf');
}

@font-face {
    font-family: roboto-bold;
    src: url('fonts/RobotoSlab-Bold.ttf');
}

@font-face {
    font-family: roboto-regular;
    src: url('fonts/RobotoSlab-Regular.ttf');
}

@font-face {
    font-family: roboto-thin;
    src: url('fonts/RobotoSlab-Thin.ttf');
}

@font-face {
    font-family: sixcaps;
    src: url('fonts/SixCaps.ttf');
}

.roboto-bold {
    font-family: "roboto-bold", "Helvetica Neue", Helvetica, Arial, sans-serif;
}

.roboto-regular {
    font-family: "roboto-regular", "Helvetica Neue", Helvetica, Arial, sans-serif;
}

.roboto-thin {
    font-family: "roboto-thin", "Helvetica Neue", Helvetica, Arial, sans-serif;
}

.sixcaps {
    font-family: "sixcaps", "Helvetica Neue", Helvetica, Arial, sans-serif;
}

body {
    font-family: 'Helvetica Neue', sans-serif;
    font-size: 14px;
    background-color: #4EC2F6;
    line-height: 34px;
    margin: 0;
    text-align: justify;
    text-justify: inter-word;
    position: relative;
}

.container {
    width: 100%;
    padding: 0;
    height: 1600px;
}

.reportButton {
    height: 80px;
    text-align: center;
    font-size: 34px;
    padding: 20px;
    background-color: #0C46A0;
    font-family: roboto;
    color: #BADDFA;
    position: absolute;
    width: 100%;
    bottom: 0;
    margin-bottom: 21px;
}

.ui-slider-input {
    display: none!important;
}

.mapData {
    padding-left: 20px;
    padding-right: 20px;
}

.ui-slider-track .ui-btn.ui-slider-handle {
    width: 50px;
    height: 50px;
    background-color: #0C46A0;
    border-radius: 50%;
    top: 0%;
}

.ui-page-theme-a .ui-slider-track .ui-btn-active {
    border-color: #4EC2F6;
    background-color: #4EC2F6;
}

.ui-slider-track {
    margin-left: 10px;
}

.ui-slider-input {
    display: none!important;
}

.map-label {
    font: roboto-regular;
}

.map-sym-img{
    border: none;
    height:40px;
    width:40px;
    background-color: #0C46A0;
    margin-left:20px;
    margin-top:5px;
}
.map-label-place{
font-size:11px;
}

repository: labs-js/air-check

repo_name: labs-js/air-check

gha_language: Python


text:
body {
    background-image: url(..//img/background.png);
    background-position: center;
    background-size: 200%;
}

header {
    margin: 20px auto;
    max-width: 800px;
    padding: 0px 15%;
}

#header {
    transition-duration: 1s;
}

#header:hover {
    transform: scale(1.1);
    transition-duration: 1s;
}

header img {
    width: 100%;
    margin: 50px 0px;
}

main {
    height: fit-content;
    text-align: center;
    margin: 20px 15% 20px 15%;
    background-color: white;
    padding: 20px;
    border-radius: 10px;
    margin-bottom: 100px;
    border: 2px solid black;
    filter: drop-shadow(15px 15px 0px black);
}

footer{
    background-color: rgb(64, 177, 149);
    color: white;
    font-family: 'Kalam', sans-serif;
    position: fixed;
    bottom: 0px;
    width: 100%;
    left:0px;
    right:0px;
}

#mini_logo{
    padding-left: 20px;
    padding-right: 20px;
}

#mini_logo:hover {
    transform: scale(1.07);
    /* transition-duration: 1s; */
}

#foot{
    justify-content: center;
    display: flex;
    align-content: center;
    padding-top: 0px;
    padding-bottom: 0px;
}

ul{
    margin-top:6px;
    margin-bottom:2px;
    padding-bottom: 0px;
}
.listlink {
    padding-top: 5px;
}

.listlink:hover {
    font-weight: bold;
    filter: drop-shadow(2px 2px 0px black);
}

#swirl {
    width: 35%;
    display: block;
    margin-left: auto;
    margin-right: auto;
    padding: 40px;
    z-index: 1;
}

#how-to-play{
    width: fit-content;
}

.hidden {
    display: none;
}

button {
    margin: 15px auto;
    /* display: contents; */
    text-decoration: none;
    background-color: rgb(64, 177, 149);
    padding: 7px 10px;
    color: white;
    font-weight: bold;
    border-radius: 5px;
}

button:hover {
    transform: scale(1.05);
    border: 1px solid black;
    filter: drop-shadow(2px 2px 0px black);
    transition-duration: 0.2s;
    background-color: rgb(217, 64, 147);
}

.spin {
    -webkit-animation: rotation 2s infinite linear;
}

@-webkit-keyframes rotation {
    from {
            -webkit-transform: rotate(0deg);
    }
    to {
            -webkit-transform: rotate(359deg);
    }
}

#future-button {
    margin-top: 60px;
}

textarea:focus, input:focus{
    outline: none;
}

input {
    display: block;
    margin-top: 10px;
    border: none;
    border-bottom: solid 1px rgb(151, 151, 151);
    font-family: 'Kalam', sans-serif;
}

input:focus {
    color: rgb(44, 94, 204);
}

h2 {
    font-family: 'Kalam', sans-serif;
    font-size: 200%;
    margin: 10px auto;
}

p {
    font-family: 'Lato', sans-serif;
    margin: auto;
    margin-bottom: 15px;
    line-height: 20px;
}
a {
    text-decoration: inherit;
    color: inherit;
}

#game {
    display: flex;
    flex-direction: row;
    flex-wrap: wrap;
    justify-content: space-around;
}

fieldset {
    padding-top: 20px;
}

#future {
    margin-top: 20px;
}

.bio-pic {
    width: 50%;
    max-width: 300px;
    border: 2px solid black;
    filter: drop-shadow(5px 5px 0px black);
    margin-bottom: 20px;
}


text:
@inproceedings{DBLP:journals/corr/abs-1708-04164,
 author = {Christian Hansen and
Casper Hansen and
Niklas Hjuler and
Stephen Alstrup and
Christina Lioma},
 bibsource = {dblp computer science bibliography, http://dblp.org},
 biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/abs-1708-04164},
 booktitle = {International Conference on Educational Data Mining},
 timestamp = {Tue, 05 Sep 2017 10:03:46 +0200},
 title = {Sequence Modelling For Analysing Student Interaction with Educational
Systems},
 url = {http://arxiv.org/abs/1708.04164},
 year = {2017}
}


text:
@inproceedings{DBLP:conf/icml/BojchevskiSZG18,
  author    = {Aleksandar Bojchevski and
               Oleksandr Shchur and
               Daniel Z{\"{u}}gner and
               Stephan G{\"{u}}nnemann},
  title     = {NetGAN: Generating Graphs via Random Walks},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning,
               {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
               10-15, 2018},
  pages     = {609--618},
  year      = {2018},
  crossref  = {DBLP:conf/icml/2018},
  url       = {http://proceedings.mlr.press/v80/bojchevski18a.html},
  timestamp = {Fri, 13 Jul 2018 14:58:25 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/icml/BojchevskiSZG18},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

url: https://raw.githubusercontent.com/Hugh-Shi/DL-NLP-Readings/924e4d189e5660c5b5d4854278f3df755ae2231d/Bibtex/NetGAN - Generating Graphs via Random Walks.bib

repository: Hugh-Shi/DL-NLP-Readings

repo_name: Hugh-Shi/DL-NLP-Readings


text:
@electronic{kryzysGrecji,
  author        = "PolskieRadio.pl",
  title         = "Grecja: bankomaty zaczęły ponownie działać. Nie ma limitu wypłat dla zagranicznych turystów",
  url           = "https://www.polskieradio.pl/42/273/Artykul/1468946",
  year          = "2015"
}

@electronic{git,
  author        = "Linus Torvalds",
  title         = "Git - system kontroli wersji",
  url           = "https://git-scm.com",
}

@electronic{transakcje,
  author        = "blockchain.info",
  url           = "https://blockchain.info/charts/n-transactions-per-block",
}

@electronic{porownanieTransakcji,
  author        = "PolskieRadio.pl",
  title         = "Bitcoin and Ethereum vs Visa and PayPal – Transactions per second",
  url           = "https://mybroadband.co.za/news/banking/206742-bitcoin-and-ethereum-vs-visa-and-paypal-transactions-per-second.html",
  year          = "2017"
}

@electronic{niezatwierdzoneTransakcje,
  author        = "blockchain.info",
  url           = "https://blockchain.info/unconfirmed-transactions",
}

repository: WojciechKo/cryptocurrency-presentation

repo_name: WojciechKo/cryptocurrency-presentation


text:
%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/

%% Created for Tony Saad at 2014-04-02 10:54:45 -0600

%% Saved with string encoding Unicode (UTF-8)

@incollection{davidson2008hybrid,
	Author = {Davidson, Lars},
	Booktitle = {Advances in Hybrid RANS-LES Modelling},
	Date-Added = {2014-04-02 16:52:19 +0000},
	Date-Modified = {2014-04-02 16:52:19 +0000},
	Pages = {55--66},
	Publisher = {Springer},
	Title = {HYBRID LES-RANS: Inlet boundary conditions for flows with recirculation},
	Year = {2008}}


text:
#profile {
  border-radius: 50%;
  width: 160px;
  height: 160px;
  margin-bottom: 8px;
  margin-top: 25px;
}
#about-us-col {
  padding-left: 5%;
  padding-right: 5%;
  margin-top: 40px;
}
#partners-container {
  width: 50%;
  height: 50%;
  text-align: center;
  display: inline-block;
  margin-left: auto;
  margin-right: auto;
}

#partners-image {
  display: block;
  /* align-items: center;
  justify-content: center; */
  /* position: relative; */
  /* top: 10%; */
  margin: auto;
  max-width: 100%;
  height: 100%;
  /* text-align: center;
  object-fit: fill;
  image-rendering: auto; */
}

/* #partners-image {
  width: 75%;
  height: auto;
  text-align: center;
  margin-left: 75%;
  margin-right: 75%;
  font-size: 32px;
  font-family: Montserrat;
  font-weight: bold;
  margin: 0.5rem;
  background-color: #FFFFFF;
  border: 1px solid #7f7f7f;
  display: inline-block;
  border-style: solid;
  border-radius: 8px;
} */

@media (max-width: 815px) {
  #about-us-col {
    padding-left: 2.5% !important;
    padding-right: 2.5% !important;
  }
}

#footer-link {
  font-family: "Inter";
  color: #2670ff;
  padding-right: 5px;
  padding-left: 5px;
  /* margin-top: -5px; */
  padding-top: 0px;
}

#donate-footer {
  margin-top: -104px;
}

#feedback {
  position: fixed;
  right: 0;
  bottom: 180px;
  height: 250px;
  margin-left: -3px;
  margin-bottom: -3px;
  z-index: 10;
}

#feedback-tab {
  float: right;
  color: #fff;
  font-size: 14px;
  cursor: pointer;
  text-align: center;
  width: 90px;
  height: 69px;
  background-color: rgba(0, 0, 0, 0.5);
  margin-top: 60px;
  margin-right: -45px;
  padding-top: 5px;
  -moz-border-radius: 3px;
  -webkit-border-radius: 3px;
  border-radius: 3px;
  -webkit-transform: rotate(-90deg);
  -moz-transform: rotate(-90deg);
  -ms-transform: rotate(-90deg);
  -o-transform: rotate(-90deg);
  transform: rotate(-90deg);
}

#feedback-tab:hover {
  background-color: rgba(0, 0, 0, 0.4);
}

#banner {
  width: 100%;
  height: 40px;
  display: block;
  align-items: center;
  justify-content: center;
  background-color: #2670ff;
  color: white;
  text-align: center;
  font-weight: bold;
  font-family: "Inter";
  z-index: 100;
}

#blmbanner {
  width: 100%;
  height: 40px;
  display: block;
  align-items: center;
  justify-content: center;
  background-color: black;
  color: white;
  text-align: center;
  font-weight: bold;
  font-family: "Inter";
  z-index: 100;
}

#donationbanner {
  width: 100%;
  height: 40px;
  display: block;
  align-items: center;
  justify-content: center;
  background-color: #2670ff;
  color: white;
  text-align: center;
  font-weight: bold;
  font-family: "Inter";
  z-index: 100;
}

#rebrandwarningbanner {
  width: 100%;
  height: 40px;
  display: block;
  align-items: center;
  justify-content: center;
  background-color: #ebe042;
  color: white;
  text-align: center;
  font-weight: bold;
  font-family: "Inter";
  z-index: 100;
}

#view-banner:before {
  content: "";
  display: inline-block;
  border-left: 1px solid white;
  height: 16px;
  line-height: 1;
  margin-left: 20px;
  margin-right: 20px;
  vertical-align: middle;
}

#close-banner {
  display: inline-flex;
  color: white;
  position: absolute;
  right: 20px;
  cursor: pointer;
  margin-top: 3px;
}

#profile-name {
  text-decoration: none;
  color: black;
  font-weight: 600;
  font-size: 18px;
  display: inline-block;
}

#tab-name-active {
  color: black;
  font-weight: 600;
  font-size: 24px;
  font-family: "Montserrat";
  display: inline-block;
  margin-bottom: 0px;
  margin-right: 40px;
  border-bottom: 4px solid #2670ff;
  cursor: pointer;
}

#tab-name-inactive {
  color: #c1c1c1;
  font-weight: 600;
  font-size: 24px;
  font-family: "Montserrat";
  display: inline-block;
  margin-bottom: 0px;
  margin-right: 40px;
  cursor: pointer;
}

#tab-name-active-requests {
  font-family: "Inter";
  font-size: 16px;
  font-weight: 600;
  color: #4f4f4f;
  display: inline-block;
  margin-bottom: 0px;
  margin-right: 10px;
  width: 100px;
  border-bottom: 4px solid #2670ff;
  cursor: pointer;
  text-align: center;
}

#tab-name-inactive-requests {
  color: #c1c1c1;
  font-size: 16px;
  font-weight: 600;
  font-family: "Inter";
  display: inline-block;
  margin-bottom: 0px;
  margin-right: 10px;
  width: 100px;
  cursor: pointer;
  text-align: center;
}

#nav-tab-name-active {
  color: black;
  font-family: "Inter";
  font-size: 16px;
  color: #7f7f7f;
  display: inline-block;
  margin-bottom: -20px;
  margin-right: 32px;
  padding-bottom: 19px;
  border-bottom: 3px solid #2670ff;
  cursor: pointer;
}

#nav-tab-name-inactive {
  color: #c1c1c1;
  font-size: 16px;
  font-family: "Inter";
  display: inline-block;
  margin-bottom: -20px;
  margin-right: 32px;
  padding-bottom: 19px;
  cursor: pointer;
}

#profile-name:hover {
  color: #2670ff;
}

.list-group-flush .list-group-item {
  padding-left: 10px;
}

#city-support-text-tablet {
  display: none;
}

#mobile-tablet-separate {
  display: none;
}

#jumbo-text {
  padding-right: 20px;
  padding-left: 70px;
}

#jumbo {
  margin-bottom: 60px;
  padding-bottom: 210px;
}

#jumboContainer {
  margin-left: 7%;
  margin-right: 7%;
  max-width: 5000px;
  /* height: 290px; */
  display: table;
  /* margin-top: 50px; */
}

#location-container {
  margin-left: 7%;
  max-width: 1200px;
  margin-top: 50px;
}

#location-container-logged {
  margin-left: 7%;
  max-width: 1200px;
  margin-top: 50px;
}

#login-container {
  padding-left: 100px;
  padding-top: 40px;
}

#feature-container {
  margin-top: 170px;
  padding-left: 100px;
  padding-right: 40px;
}

#requests-feature-mobile {
  display: none;
}

#location-feature-container {
  margin-top: 100px;
  padding-left: 140px;
  padding-right: 40px;
}

#map-feature-container {
  padding-left: 50px;
}

#requests-feature-container {
  padding-left: 50px;
  padding-top: 40px;
}

#request-img {
  width: 450px;
}

#org-img {
  width: 250px;
  height: auto;
  margin-left: 100px;
}

#covidsms-logo {
  width: 550px;
  height: auto;
}

@media (max-width: 1440px) {
  #jumboContainer {
    margin-left: 5%;
    margin-right: 5%;
  }
  #jumbo-text {
    padding-right: 0px;
    padding-left: 70px;
    padding-bottom: 7.5%;
    justify-content: center;
  }
}
@media (max-width: 1150px) {
  #jumboContainer {
    margin-left: 5%;
    margin-right: 5%;
  }
  #location-container {
    margin-left: 5%;
    margin-right: 5%;
    margin-top: 70px;
  }
  #location-container-logged {
    margin-left: 5%;
    margin-right: 5%;
    margin-top: 70px;
  }

  #login-container {
    padding-left: 30px;
  }

  #requests-feature-container {
    padding-left: 30px;
  }

  #feature-container {
    padding-left: 100px;
  }

  #location-feature-container {
    padding-left: 70px;
  }
}

@media (max-width: 1000px) {
  #jumboContainer {
    margin-left: 4%;
    margin-right: 4%;
  }
  #jumbo-text {
    padding-bottom: 0%;
    justify-content: top;
  }
  #location-container {
    margin-left: 4%;
    margin-right: 4%;
  }

  #location-container-logged {
    margin-left: 4%;
    margin-right: 4%;
  }

  #login-container {
    padding-left: 20px;
  }

  #requests-feature-container {
    padding-left: 20px;
  }

  #feature-container {
    padding-left: 70px;
    margin-top: 120px;
  }

  #location-feature-container {
    padding-left: 60px;
    margin-top: 60px;
  }

  #request-img {
    width: 420px;
  }

  #org-img {
    width: 420px;
  }
}

@media (max-width: 960px) {
  #banner {
    height: 60px;
  }

  #location-container-logged {
    margin-top: 110px;
  }

  #request-img {
    width: 400px;
  }
}

@media (max-width: 900px) {
  #jumboContainer {
    margin-left: 3%;
    margin-right: 3%;
  }
  #jumbo-text {
    margin-top: 0px;
  }
  #location-container {
    margin-left: 3%;
    margin-right: 3%;
  }

  #location-container-logged {
    margin-left: 3%;
    margin-right: 3%;
    margin-top: 120px;
  }

  #request-img {
    width: 390px;
  }

  #org-img {
    width: 390px;
  }
}

@media (max-width: 800px) {
  #jumboContainer {
    margin-left: 2%;
    margin-right: 2%;
  }

  #location-container {
    margin-left: 2%;
    margin-right: 2%;
  }

  #location-container-logged {
    margin-left: 2%;
    margin-right: 2%;
  }

  #login-container {
    padding-left: 10px;
  }

  #requests-feature-container {
    padding-left: 10px;
  }
}

@media (max-width: 768px) {
  #mobile-footer {
    display: block;
    margin-bottom: 50px;
  }
  #desktop-footer {
    padding-bottom: 50px;
  }

  #donate-footer {
    margin-top: 50px;
  }

  #footer-content {
    padding-left: 0px !important;
    /* padding-right: 0px !important; */
  }

  #feedback {
    display: none;
  }

  #orgpage-separator {
    margin-top: -65px;
  }

  #login-container {
    padding-left: 50px;
    padding-right: 30px;
  }

  #requests-feature-container {
    padding-left: 50px;
    padding-right: 50px;
    padding-top: 0px;
    margin-top: 20px;
  }

  #feature-container {
    display: none;
  }

  #requests-feature-mobile {
    display: block;
    padding-left: 50px;
    margin-top: 0px;
    padding-right: 10px;
  }

  #location-feature-container {
    padding-left: 50px;
    margin-top: 0px;
  }

  #map-feature-container {
    padding-left: 50px;
    padding-right: 50px;
    margin-top: 20px;
    text-align: center;
  }

  #org-img {
    display: none;
  }

  #request-img {
    width: 380px;
  }

  #footer-brand {
    display: none;
  }

  .footer {
    padding-bottom: 80px;
  }

  #jumbo {
    margin-bottom: 0px;
    padding-bottom: 300px;
  }

  #jumbo-text {
    padding-right: 20px;
    padding-left: 20px;
  }

  #jumboContainer {
    height: 260px;
    margin-left: 8%;
    margin-right: 8%;
    margin-top: 50px;
  }

  #location-container {
    margin-top: 0px;
  }

  #location-container-logged {
    margin-top: 0px;
  }

  #community-bulletin {
    display: none;
  }

  .volunteer-badge-web {
    display: none;
  }

  .volunteer-badge-mobile {
    display: block !important;
  }

  .mobile-bulletin-container {
    display: block !important;
  }

  .mobile-loggged-container {
    display: block !important;
  }

  #city-support-text-tablet {
    display: block;
  }

  #mobile-tablet-separate {
    display: block;
  }

  #web-separate {
    display: none;
  }

  #jumbo {
    padding-top: 10px;
    padding-bottom: 200px;
  }
}

@media (max-width: 605px) {
  #login-container {
    padding-left: 30px;
    padding-right: 20px !important;
    padding-top: 10px;
  }

  #requests-feature-container {
    padding-left: 30px;
  }

  #requests-feature-mobile {
    padding-left: 30px;
  }

  #location-feature-container {
    padding-left: 30px;
  }

  #map-feature-container {
    padding-left: 30px;
  }

  #location-container-logged {
    margin-top: 50px;
  }

  #jumboContainer {
    height: 260px;
    margin-left: 5%;
    margin-right: 5%;
  }
}

@media (max-width: 578px) {
  #jumbo {
    padding-bottom: 350px;
    padding-bottom: 250px;
  }

  #login-container {
    padding-left: 20px;
  }

  #requests-feature-container {
    padding-left: 20px;
  }

  #requests-feature-mobile {
    padding-left: 25px;
  }

  #location-feature-container {
    padding-left: 20px;
  }

  #map-feature-container {
    padding-left: 20px;
  }

  #request-img {
    width: 340px;
  }

  #jumbo-text {
    margin-top: 10px;
    padding-right: 50px;
    padding-left: 50px;
  }

  #jumboContainer {
    height: 200px;
    margin-top: 10px;
    margin-left: 0%;
    margin-right: 0%;
    padding: 0px;
    /* padding-right: 20px; */
  }

  #location-container {
    margin-top: 30px;
  }

  #location-container-logged {
    margin-top: 10px;
  }
}

@media (max-width: 400px) {
  #blmbanner,
  #donationbanner {
    height: 65px;
  }

  #rebrandwarningbanner {
    height: 65px;
  }

  #location-container {
    margin-top: 50px;
  }

  #location-container-logged {
    margin-top: 50px;
    max-width: 1200px;
    margin-left: 2%;
    margin-right: 2%;
  }
}

@media (max-width: 416px) {
  #location-container {
    margin-top: 60px;
  }

  #location-container-logged {
    margin-top: 110px;
  }
}

@media (max-width: 345px) {
  #jumboContainer {
    height: 200px;
  }

  #location-container {
    margin-top: 70px;
  }
}

@media (max-width: 345px) {
  #jumboContainer {
    height: 410px;
  }
}

.volunteer-badge-mobile {
  display: none;
}

#jumboHeading {
  font-weight: bold;
  font-size: 48px;
  margin-bottom: 0px;
}

#community-bulletin {
  margin-top: -20px;
  padding-right: 0px;
  padding-left: 10px;
}

.pagination {
  z-index: 1000;
  position: relative;
}

#mobile-bulletin {
  padding-right: 0px;
  padding-left: 0px;
  padding-bottom: 20px;
}

.mobile-bulletin-container {
  display: none;
}

#general-request-link {
  font-family: "Inter";
  font-size: 16px;
  float: right;
  color: #2670ff;
  margin-top: -30px;
  margin-right: 20px;
  margin-bottom: 40px;
}

.bfifxy {
  max-width: 1000px !important;
}

repository: Covaid-co/covaid-web

repo_name: Covaid-co/covaid-web

gha_language: JavaScript


text:
@INPROCEEDINGS{gpu_pwarp_hpca16,
  author={Kim, Keunsoo and Lee, Sangpil and Yoon, Myung Kuk and Koo, Gunjae and Ro, Won Woo and Annavaram, Murali},
  booktitle={2016 IEEE International Symposium on High Performance Computer Architecture (HPCA)},
  title={Warped-preexecution: A GPU pre-execution approach for improving latency hiding},
  year={2016},
  volume={},
  number={},
  pages={163-175},
  keywords={},
  doi={10.1109/HPCA.2016.7446062},
  ISSN={2378-203X},
  month={March},
}

repository: gunjae/hugo-csarch

repo_name: gunjae/hugo-csarch