text:
@Article{guiatni:ptve:2009,
  author    = {Guiatni, Mohamed and Benallegue, Abdelaziz and Kheddar, Abderrahmane},
  title     = {Thermal display for telepresence based on neural identification and heat flux servoing},
  journal   = {Presence-Teleoperators and Virtual Environments},
  year      = {2009},
  volume    = {18},
  number    = {2},
  pages     = {156--169},
  month     = {April},
  doi       = {https://doi.org/10.1162/pres.18.2.156},
  abstract  = {We present a new approach for thermal rendering in telepresence which improves transparency; it aims at reaching, as closely as possible, what is experienced in similar direct touch conditions. Our method is based on a neural networks learning classifier that allows generating appropriate thermal values (i.e., time trajectories) used as desired inputs of two independent controllers: the one controlling a bio-inspired remote thermal sensing device (i.e., an artificial finger), and the other one controlling the user\textquotesingle s thermal display. To do so, two databases are built from real measurements recorded during direct contact between the operator\textquotesingle s finger and different materials. One database is used for training a classifier to be used in online identification of the material being remotely explored; the other is used to generate desired thermal trajectories for the previously evoked control loops. The learning bloc is based on principal component analysis and a feed-forward neural network. Experimental tests validating our method in different scenarios have been carried out; the obtained results are discussed},
  publisher = {MIT PRESS},
  address   = {ONE ROGERS ST, CAMBRIDGE, MA 02142-1209 USA}
}

branch_name: refs/heads/master

gha_language: TeX


text:
@misc{HarperRIAMTR2008b,
 author = {Chen, Tianyi and Yesilada, Yeliz and Harper, Simon},
 institution = {School of Computer Science, University of Manchester},
 keywords = {Accessibility,Human Centred Web,Mobile Web,RIAM,Web Accessibility},
 month = {jun},
 number = {EPSRC-EP/E002218/1},
 title = {RIAM D2.4: Rerunning Shari and Trewin's Study},
 url = {http://hcw-eprints.cs.man.ac.uk/99/},
 year = {2008}
}

license: MIT

repository: sharpic/academic-kickstart

license_type: permissive

repo_name: sharpic/academic-kickstart

extension: bib


text:
.demo {
    width:450px;
}
ul {
    list-style: none outside none;
    padding-left: 0;
    margin-bottom:0;
}
li {
    display: block;
    float: right;
    margin-right: 6px;
    cursor:pointer;
}
img {
    display: block;
    height: 450px;
    width: 450px;

}

div.show-image {
    position: relative;
    float:left;
    margin:5px;
}
div.show-image:hover img{
    opacity:0.5;
}
div.show-image:hover input {
    display: block;
}
div.show-image input {
    position:absolute;
    display:none;
}
div.show-image input.update {
    top:50%;
    margin-left:50%;
    margin-right:50%;
    background-image: url(../Images/Icons/plus.png);
    background-size:cover;
    background-color:transparent;
    border:none;
    background-position-x :center;
    background-position-y : center;
    image-rendering:optimizeQuality;
    background-size:contain;
}
div.show-image input.delete {
    top:50%;
    bottom : 50%;
    margin-left:50%;
    margin-right:50%;
    width:100px;
    height:100px;
    background-image: url(../Images/Icons/minus.jpg);
    background-size:cover;
    background-color:transparent;
    border:none;
    background-position-x :center;
    background-position-y : center;
    image-rendering:optimizeQuality;
    background-size:contain;
}

repository: kmiakisz/inzPJATK

repo_name: kmiakisz/inzPJATK

extension: css


text:
%%%%%%%%%%%%%%%%%%
%%%  SNOW 2014 %%%
%%%%%%%%%%%%%%%%%%

@article{ballan2011event,
  author    = {Ballan, Lamberto and Bertini, Marco and Del Bimbo, Alberto and Seidenari, Lorenzo and Serra, Giuseppe},
  title     = {Event detection and recognition for semantic annotation of video},
  journal   = {Multimedia Tools and Applications},
  volume    = {51},
  number    = {1},
  pages     = {279--302},
  year      = {2011},
}

@inproceedings{de2013discovering,
  author    = {De Vocht, Laurens and Coppens, Sam and Verborgh, Ruben and Vander Sande, Miel and Mannens, Erik and Van de Walle, Rik},
  title     = {Discovering Meaningful Connections between Resources in the {Web of Data}},
  booktitle = {6$^{th}$ Internation Workshop on Linked Data on the Web (LDOW'13)},
  year      = {2013},
}

@inproceedings{katsiouli2007,
  author    = {Katsiouli, Polyxeni and Tsetsos, Vassileios and Hadjiefthymiades, Stathes},
  title     = {Semantic video classification based on subtitles and domain terminologies},
  booktitle = {1$^{st}$ International Workshop on Knowledge Acquisition from Multimedia Content (KAMC'07)},
  year      = {2007}
}

@INPROCEEDINGS{LiJia2007,
  author    = {Li-Jia Li and Li Fei-Fei},
  title     = {What, where and who? Classifying events by scene and object recognition},
  booktitle = {IEEE 11$^{th}$ International Conference on Computer Vision (ICCV'07)},
  year      = {2007},
  pages     = {1-8},
}

@inproceedings{yunjia2013,
  author =      {{L}i, {Y}unjia and  {R}izzo, {G}iuseppe and  {R}edondo {G}arcia, {J}os{\'e} {L}uis and  {T}roncy, {R}apha{\"e}l},
  title =       {{E}nriching media fragments with named entities for video classification},
  booktitle =   {1$^{st}$ Worldwide Web Workshop on Linked Media (LiME'13)},
  address =     {Rio de Janeiro, Brazil},
  year =        {2013},
}

@inproceedings{moore2012novel,
  author={Moore, Joshua L and Steinke, Florian and Tresp, Volker},
  title={A novel metric for information retrieval in semantic networks},
  booktitle={The Semantic Web: ESWC 2011 Workshops},
  pages={65--79},
  year={2012},
}

@techreport{page1999pagerank,
  author={Lawrence Page and Sergey Brin and Rajeev Motwani and Terry Winograd},
  title={{The PageRank citation ranking: bringing order to the web}},
  year={1999},
  institution={Stanford InfoLab}
}

@INPROCEEDINGS{Rizzo2012,
	author    = {Rizzo, Giuseppe  and  Troncy, Raphael},
	title     = {{NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools}},
	booktitle = {13$^{th}$ Conference of the European Chapter of the Association for Computational Linguistics (EACL'12)},
	year      = {2012},
  	address   = {Avignon, France},
}

@InProceedings{Milicic2013b,
  year =        {2013},
  title =       {{T}racking and analyzing the 2013 {I}talian election},
  author =      {{M}ilicic, {V}uk and  {R}edondo {G}arcia, {J}ose {L}uis and  {R}izzo, {G}iuseppe and  {T}roncy, {R}apha{\"e}l},
  month =       {05},
  booktitle = {ESWC 2013, 10th Extended Semantic Web Conference, Demos Track},
  institution = {Eurecom},
  url =  	      {https://www.eurecom.fr/publication/4031}
}

@InProceedings{Milicic2013,
  author    = {Milicic, Vuk  and  Rizzo, Giuseppe and Redondo Garcia, Jose Luis and Troncy, Raphael and Steiner, Thomas},
  title     = {{Live Topic Generation from Event Streams}},
  booktitle = {22$^{nd}$ International World Wide Web Conference (WWW'13)},
  year      = {2013},
  address   = {Rio de Janeiro, Brazil},
}

@inproceedings{winkler2006overview,
  author={Winkler, William E},
  title={Overview of record linkage and current research directions},
  booktitle={Bureau of the Census},
  year={2006},
}

@inproceedings{snow2014dc,
author = {Symeon Papadopoulos, David Corney, Luca Aiello},
title = {SNOW 2014 Data Challenge: Assessing the Performance of News Topic Detection Methods in Social Media},
booktitle = {Proceedings of the SNOW 2014 Data Challenge},
year = {2014},
}

@ARTICLE{Aiello,
author={Aiello, L.M. and Petkos, G. and Martin, C. and Corney, D. and Papadopoulos, S. and Skraba, R. and Goker, A. and Kompatsiaris, I. and Jaimes, A.},
journal={Multimedia, IEEE Transactions on},
title={Sensing Trending Topics in Twitter},
year={2013},
month={Oct},
volume={15},
number={6},
pages={1268-1282},
keywords={information filtering;natural language processing;social networking (online);Twitter datasets;information filtering;natural language processing techniques;online news media;online social media;sampling procedure;sensing trending topics;social sources;social streams;topic detection methods;trending topic detection;Information filtering;Twitter;social media;social sensing;text mining;topic detection},
doi={10.1109/TMM.2013.2265080},
ISSN={1520-9210},}

@ARTICLE{Schifferes,
author={Schifferes, S. and Newman, N. and Thurman, N. and Corney, D. and Goker, A.S. and Martin, C.},
journal={Digital Journalism},
title={Identifying and verifying news through social media: Developing a user-centred tool for professional journalists.},
year={2014},
doi={10.1080/21670811.2014.892747},}

@inproceedings{Ritter2011,
 author = {Ritter, Alan and Clark, Sam and Mausam and Etzioni, Oren},
 title = {Named Entity Recognition in Tweets: An Experimental Study},
 booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing},
 series = {EMNLP '11},
 year = {2011},
 isbn = {978-1-937284-11-4},
 location = {Edinburgh, United Kingdom},
 pages = {1524--1534},
 numpages = {11},
 url = {http://dl.acm.org/citation.cfm?id=2145432.2145595},
 acmid = {2145595},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
}

repository: jluisred/SnowChallenge

repo_name: jluisred/SnowChallenge


text:
DESCRIPTION = "Simple helloworld application"
SECTION = "examples"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://${COMMON_LICENSE_DIR}/MIT;md5=0835ade698e0bcf8506ecda2f7b4f302"

SRCREV = "${AUTOREV}"
SRC_URI = "git://github.com/yoctocookbook2ndedition/helloworld.git"

S = "${WORKDIR}/git"

do_compile() {
             ${CC} ${LDFLAGS} helloworld.c -o helloworld
}

do_install() {
             install -d ${D}${bindir}
             install -m 0755 helloworld ${D}${bindir}
}

extension: bb


text:
html {
  height: 100%;
  width: 100%;
}
* {
  font-family: 'Poppins', Helvetica, Arial, sans-serif;
}
body {
  margin: 0;
  padding: 0;
  height: 100%;
  width: 100%;
  -webkit-font-smoothing: antialiased;
  overflow: -moz-scrollbars-none;
  -ms-overflow-style: none;
}
.landingpagemobile1 {
  will-change: transform;
  display: block;
  position: absolute;
  background-color: rgba(35, 35, 35, 1);
  width: 100vw; /* 1080px/1080 */
  height: 1041.944444vw; /* 11253px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 172.218519vw; /* 1859.96px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .mbggraphicmask {
  position: absolute;
  background-image: url("../img/mobile/mbggraphicmask.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 51.666667vw; /* 558px/1080 */
  height: 66.047222vw; /* 713.31px/1080 */
  right: 0; /* 522px/1080 */
  top: 0;
}
.landingpagemobile1 .topsection .mlaptopmask {
  position: absolute;
  background-image: url("../img/mobile/mlaptopmask.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 100vw; /* 1080px/1080 */
  height: 71.371296vw; /* 770.81px/1080 */
  right: 0;
  top: 18.148148vw; /* 196px/1080 */
}
.landingpagemobile1 .topsection .cta {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 83.518519vw; /* 902px/1080 */
  height: 67.225926vw; /* 726.04px/1080 */
  left: 8.240741vw; /* 89px/1080 */
  top: 95.185185vw; /* 1028px/1080 */
}
.landingpagemobile1 .topsection .cta .filtra {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 8.611111vw; /* 93px/1080 */
  letter-spacing: 0.042593vw; /* 0.46px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 7.711111vw; /* 93px/1080 */
  font-weight: 600;
  width: 83.518519vw; /* 902px/1080 */
  height: 19.351852vw; /* 209px/1080 */
  left: 0;
  top: 1.064815vw; /* 11.50px/1080 */
}
.landingpagemobile1 .topsection .cta .btnempiezaya {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 45.092593vw; /* 487px/1080 */
  height: 10vw; /* 108px/1080 */
  left: 19.166667vw; /* 207px/1080 */
  top: 26.666667vw; /* 288px/1080 */
  border: none;
  outline: none;
}
.landingpagemobile1 .topsection .cta .btnempiezaya .hoverstate47b4a142 {
  display: block;
  position: absolute;
  display: none;
  background-image: url("../img/mobile/hoverstate47b4a142.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: transparent;
  width: 45.092593vw; /* 487px/1080 */
  height: 10vw; /* 108px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .cta .btnempiezaya .hoverstate47b4a142 .rectangle67326089b27 {
  position: absolute;
  box-sizing: border-box;
  cursor: pointer;
  background-color: transparent;
  border-color: rgba(255, 153, 74, 1);
  border-style: solid;
  border-width: 0.277778vw; /* 3px/1080 */
  border-radius: 5vw; /* 54px/1080 */
  width: 45.092593vw; /* 487px/1080 */
  height: 10vw; /* 108px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .cta .btnempiezaya .hoverstate47b4a142 .insidecb443828 {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 29.537037vw; /* 319px/1080 */
  height: 5.092593vw; /* 55px/1080 */
  left: 7.87037vw; /* 85px/1080 */
  top: 2.5vw; /* 27px/1080 */
}
.landingpagemobile1 .topsection .cta .btnempiezaya .hoverstate47b4a142 .insidecb443828 .empiezaYae591c17c {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  letter-spacing: 0.10463vw; /* 1.13px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 4.166667vw; /* 45px/1080 */
  font-weight: 600;
  width: 22.962963vw; /* 248px/1080 */
  height: 5.092593vw; /* 55px/1080 */
  left: 6.574074vw; /* 71px/1080 */
  top: 0;
}
.landingpagemobile1 .topsection .cta .btnempiezaya .hoverstate47b4a142 .insidecb443828 .forwardArrow6f624b2e {
  position: absolute;
  background-image: url("../img/mobile/forwardArrow6f624b2e.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  width: 3.055556vw; /* 33px/1080 */
  height: 3.055556vw; /* 33px/1080 */
  left: 0;
  top: 1.111111vw; /* 12px/1080 */
}
.landingpagemobile1 .topsection .cta .btnempiezaya .defaultstateb2b95e31 {
  display: block;
  position: absolute;
  background-image: url("../img/mobile/defaultstateb2b95e31.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: transparent;
  width: 45.092593vw; /* 487px/1080 */
  height: 10vw; /* 108px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .cta .btnempiezaya .defaultstateb2b95e31 .rectangle673 {
  position: absolute;
  background-image: url("../img/mobile/rectangle673.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  border-radius: 5vw; /* 54px/1080 */
  width: 45.092593vw; /* 487px/1080 */
  height: 10vw; /* 108px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .cta .btnempiezaya .defaultstateb2b95e31 .inside9b93055f {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 29.537037vw; /* 319px/1080 */
  height: 5.092593vw; /* 55px/1080 */
  left: 7.87037vw; /* 85px/1080 */
  top: 2.5vw; /* 27px/1080 */
}
.landingpagemobile1 .topsection .cta .btnempiezaya .defaultstateb2b95e31 .inside9b93055f .empiezaYa {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  letter-spacing: 0.10463vw; /* 1.13px/1080 */
  color: rgba(255, 255, 255, 1);
  font-size: 4.166667vw; /* 45px/1080 */
  font-weight: 600;
  width: 22.962963vw; /* 248px/1080 */
  height: 5.092593vw; /* 55px/1080 */
  left: 6.574074vw; /* 71px/1080 */
  top: 0;
}
.landingpagemobile1 .topsection .cta .btnempiezaya .defaultstateb2b95e31 .inside9b93055f .forwardArrow {
  position: absolute;
  background-image: url("../img/mobile/forwardArrow.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  width: 3.055556vw; /* 33px/1080 */
  height: 3.055556vw; /* 33px/1080 */
  left: 0;
  top: 1.111111vw; /* 12px/1080 */
}
.landingpagemobile1 .topsection .cta .btnempiezaya:hover>.hoverstate47b4a142 {
  display: inherit;
}
.landingpagemobile1 .topsection .cta .btnempiezaya:hover>.defaultstateb2b95e31 {
  display: none;
}
.landingpagemobile1 .topsection .cta .conectate {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.203704vw; /* 67px/1080 */
  letter-spacing: 0.075926vw; /* 0.82px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 3.496296vw; /* 41px/1080 */
  font-weight: 500;
  width: 84.259259vw; /* 910px/1080 */
  height: 23.240741vw; /* 251px/1080 */
  left: 0.185185vw; /* 2px/1080 */
  top: 43.198148vw; /* 466.54px/1080 */
}
.landingpagemobile1 .topsection .topbar {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 33.055556vw; /* 357px/1080 */
  height: 5vw; /* 54px/1080 */
  left: 60.277778vw; /* 651px/1080 */
  top: 6.851852vw; /* 74px/1080 */
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 17.777778vw; /* 192px/1080 */
  height: 5vw; /* 54px/1080 */
  left: 15.277778vw; /* 165px/1080 */
  top: 0;
  border: none;
  outline: none;
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d .hoverstate2f4c9e26 {
  display: block;
  position: absolute;
  display: none;
  cursor: pointer;
  background-color: transparent;
  width: 17.777778vw; /* 192px/1080 */
  height: 5vw; /* 54px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d .hoverstate2f4c9e26 .rectangle6714bb55cc3 {
  position: absolute;
  box-sizing: border-box;
  cursor: pointer;
  background-color: transparent;
  border-color: rgba(255, 255, 255, 1);
  border-style: solid;
  border-width: 0.092593vw; /* 1px/1080 */
  border-radius: 2.314815vw; /* 25px/1080 */
  width: 17.777778vw; /* 192px/1080 */
  height: 5vw; /* 54px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d .hoverstate2f4c9e26 .probar29482163 {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 9.537037vw; /* 103px/1080 */
  letter-spacing: 0.046296vw; /* 0.50px/1080 */
  color: rgba(255, 255, 255, 1);
  font-size: 1.851852vw; /* 20px/1080 */
  font-weight: 600;
  width: 6.111111vw; /* 66px/1080 */
  height: 2.222222vw; /* 24px/1080 */
  left: 5.740741vw; /* 62px/1080 */
  top: -2.268519vw; /* -24.50px/1080 */
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d .defaultstate51cb6939 {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 17.777778vw; /* 192px/1080 */
  height: 5vw; /* 54px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d .defaultstate51cb6939 .rectangle67151008ea5 {
  position: absolute;
  cursor: pointer;
  background-color: rgba(32, 32, 32, 1);
  border-radius: 2.314815vw; /* 25px/1080 */
  width: 17.777778vw; /* 192px/1080 */
  height: 5vw; /* 54px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d .defaultstate51cb6939 .probarf2ed9c47 {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 9.537037vw; /* 103px/1080 */
  letter-spacing: 0.046296vw; /* 0.50px/1080 */
  color: rgba(255, 117, 135, 1);
  font-size: 1.851852vw; /* 20px/1080 */
  font-weight: 600;
  width: 6.111111vw; /* 66px/1080 */
  height: 2.222222vw; /* 24px/1080 */
  left: 5.740741vw; /* 62px/1080 */
  top: -2.268519vw; /* -24.50px/1080 */
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d:hover>.hoverstate2f4c9e26 {
  display: inherit;
}
.landingpagemobile1 .topsection .topbar .btnprobar06a5010d:hover>.defaultstate51cb6939 {
  display: none;
}
.landingpagemobile1 .topsection .topbar .socialmedia {
  display: block;
  position: absolute;
  background-image: url("../img/mobile/socialmedia.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: transparent;
  width: 10.648148vw; /* 115px/1080 */
  height: 1.666667vw; /* 18px/1080 */
  left: 0;
  top: 1.666667vw; /* 18px/1080 */
}
.landingpagemobile1 .topsection .topbar .socialmedia .mfacebook {
  position: absolute;
  background-image: url("../img/mobile/mfacebook.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 1.666667vw; /* 18px/1080 */
  height: 1.666667vw; /* 18px/1080 */
  left: 8.981481vw; /* 97px/1080 */
  top: 0;
}
.landingpagemobile1 .topsection .topbar .socialmedia .minstagram {
  position: absolute;
  background-image: url("../img/mobile/minstagram.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 1.666667vw; /* 18px/1080 */
  height: 1.666667vw; /* 18px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .topsection .topbar .socialmedia .mtwitter {
  position: absolute;
  background-image: url("../img/mobile/mtwitter.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 1.666667vw; /* 18px/1080 */
  height: 1.666667vw; /* 18px/1080 */
  left: 4.537037vw; /* 49px/1080 */
  top: 0;
}
.landingpagemobile1 .topsection .mteammatchlogo {
  position: absolute;
  background-image: url("../img/mobile/mteammatchlogo.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 33.333333vw; /* 360px/1080 */
  height: 4.166667vw; /* 45px/1080 */
  left: 7.777778vw; /* 84px/1080 */
  top: 7.314815vw; /* 79px/1080 */
}
.landingpagemobile1 .topsection .mforwardArrowSmall {
  position: absolute;
  background-image: url("../img/mobile/mforwardArrowSmall.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 5.833333vw; /* 63px/1080 */
  height: 3.792593vw; /* 40.96px/1080 */
  left: 47.042593vw; /* 508.06px/1080 */
  top: 168.425926vw; /* 1819px/1080 */
}
.landingpagemobile1 .mobilesection {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 144.236111vw; /* 1557.75px/1080 */
  left: 0;
  top: 177.910185vw; /* 1921.43px/1080 */
}
.landingpagemobile1 .mobilesection .bgsecondgrey {
  position: absolute;
  fill: rgba(35, 35, 35, 1);
  -webkit-filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.42));
  filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.42));
  width: 100vw; /* 1080px/1080 */
  height: 112.569444vw; /* 1215.75px/1080 */
  left: 0;
  top: 31.666667vw; /* 342px/1080 */
}
.landingpagemobile1 .mobilesection .mtmmockupsmask {
  position: absolute;
  background-image: url("../img/mobile/mtmmockupsmask.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 100vw; /* 1080px/1080 */
  height: 31.666667vw; /* 342px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 93.333333vw; /* 1008px/1080 */
  height: 94.22963vw; /* 1017.68px/1080 */
  left: 3.333333vw; /* 36px/1080 */
  top: 40.052778vw; /* 432.57px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .teammatchaTuAlcance {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 8.796296vw; /* 95px/1080 */
  letter-spacing: 0.22037vw; /* 2.38px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 7.996296vw; /* 95px/1080 */
  font-weight: 600;
  width: 55.925926vw; /* 604px/1080 */
  height: 19.722222vw; /* 213px/1080 */
  left: 18.703704vw; /* 202px/1080 */
  top: 1.064815vw; /* 11.50px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 61.819444vw; /* 667.65px/1080 */
  height: 16.409259vw; /* 177.22px/1080 */
  left: 15.740741vw; /* 170px/1080 */
  top: 53.703704vw; /* 580px/1080 */
  border: none;
  outline: none;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .hoverstatef6a32cd9 {
  display: block;
  position: absolute;
  display: none;
  cursor: pointer;
  background-color: transparent;
  width: 61.819444vw; /* 667.65px/1080 */
  height: 16.409259vw; /* 177.22px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .hoverstatef6a32cd9 .path246 {
  position: absolute;
  box-sizing: border-box;
  cursor: pointer;
  fill: transparent;
  stroke: rgba(255, 153, 74, 1);
  stroke-width: 0.555556vw; /* 6px/1080 */
  stroke-linecap: butt;
  width: 61.819444vw; /* 667.65px/1080 */
  height: 16.409259vw; /* 177.22px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .hoverstatef6a32cd9 .insidef46698ef {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 40.784259vw; /* 440.47px/1080 */
  height: 10.402778vw; /* 112.35px/1080 */
  left: 10.555556vw; /* 114px/1080 */
  top: 3.055556vw; /* 33px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .hoverstatef6a32cd9 .insidef46698ef .playStore5e6a3aab {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0;
  color: rgba(255, 255, 255, 1);
  font-size: 5.055556vw; /* 60px/1080 */
  font-weight: 600;
  width: 26.111111vw; /* 282px/1080 */
  height: 6.759259vw; /* 73px/1080 */
  left: 14.950926vw; /* 161.47px/1080 */
  top: 1.851852vw; /* 20px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .hoverstatef6a32cd9 .insidef46698ef .mplaystore903c3c59 {
  position: absolute;
  background-image: url("../img/mobile/mplaystore903c3c59.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  width: 10.412037vw; /* 112.45px/1080 */
  height: 10.402778vw; /* 112.35px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .defaultstate15c2e21f {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 61.819444vw; /* 667.65px/1080 */
  height: 16.409259vw; /* 177.22px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .defaultstate15c2e21f .path2217cc91163 {
  position: absolute;
  cursor: pointer;
  fill: transparent;
  width: 61.819444vw; /* 667.65px/1080 */
  height: 16.409259vw; /* 177.22px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .defaultstate15c2e21f .inside4a8a8c1a {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 40.784259vw; /* 440.47px/1080 */
  height: 10.402778vw; /* 112.35px/1080 */
  left: 10.555556vw; /* 114px/1080 */
  top: 3.055556vw; /* 33px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .defaultstate15c2e21f .inside4a8a8c1a .playStore {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0;
  color: rgba(255, 255, 255, 1);
  font-size: 5.055556vw; /* 60px/1080 */
  font-weight: 600;
  width: 26.111111vw; /* 282px/1080 */
  height: 6.759259vw; /* 73px/1080 */
  left: 14.950926vw; /* 161.47px/1080 */
  top: 1.851852vw; /* 20px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore .defaultstate15c2e21f .inside4a8a8c1a .mplaystore {
  position: absolute;
  background-image: url("../img/mobile/mplaystore.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  width: 10.412037vw; /* 112.45px/1080 */
  height: 10.402778vw; /* 112.35px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore:hover>.hoverstatef6a32cd9 {
  display: inherit;
}
.landingpagemobile1 .mobilesection .mobilecta .btnplaystore:hover>.defaultstate15c2e21f {
  display: none;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 61.633333vw; /* 665.64px/1080 */
  height: 16.359259vw; /* 176.68px/1080 */
  left: 15.833333vw; /* 171px/1080 */
  top: 77.87037vw; /* 841px/1080 */
  border: none;
  outline: none;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .hoverstate79020c7c {
  display: block;
  position: absolute;
  display: none;
  cursor: pointer;
  background-color: transparent;
  width: 61.633333vw; /* 665.64px/1080 */
  height: 16.359259vw; /* 176.68px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .hoverstate79020c7c .path244 {
  position: absolute;
  box-sizing: border-box;
  cursor: pointer;
  fill: transparent;
  stroke: rgba(117, 145, 255, 1);
  stroke-width: 0.555556vw; /* 6px/1080 */
  stroke-linecap: butt;
  width: 61.633333vw; /* 665.64px/1080 */
  height: 16.359259vw; /* 176.68px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .hoverstate79020c7c .inside9cceb8fc {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 39.15463vw; /* 422.87px/1080 */
  height: 7.62963vw; /* 82.40px/1080 */
  left: 11.296296vw; /* 122px/1080 */
  top: 4.351852vw; /* 47px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .hoverstate79020c7c .inside9cceb8fc .appStore0ed73564 {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0;
  color: rgba(255, 255, 255, 1);
  font-size: 5.055556vw; /* 60px/1080 */
  font-weight: 600;
  width: 26.111111vw; /* 282px/1080 */
  height: 6.759259vw; /* 73px/1080 */
  left: 13.599074vw; /* 146.87px/1080 */
  top: 0.462963vw; /* 5px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .hoverstate79020c7c .inside9cceb8fc .mapplelogo9ce79120 {
  position: absolute;
  background-image: url("../img/mobile/mapplelogo9ce79120.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  width: 7.62963vw; /* 82.40px/1080 */
  height: 7.62963vw; /* 82.40px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .defaultstatecd5bb0e4 {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 61.633333vw; /* 665.64px/1080 */
  height: 16.359259vw; /* 176.68px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .defaultstatecd5bb0e4 .path221 {
  position: absolute;
  cursor: pointer;
  fill: transparent;
  width: 61.633333vw; /* 665.64px/1080 */
  height: 16.359259vw; /* 176.68px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .defaultstatecd5bb0e4 .inside {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 39.15463vw; /* 422.87px/1080 */
  height: 7.62963vw; /* 82.40px/1080 */
  left: 11.296296vw; /* 122px/1080 */
  top: 4.351852vw; /* 47px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .defaultstatecd5bb0e4 .inside .appStore {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0;
  color: rgba(255, 255, 255, 1);
  font-size: 5.055556vw; /* 60px/1080 */
  font-weight: 600;
  width: 26.111111vw; /* 282px/1080 */
  height: 6.759259vw; /* 73px/1080 */
  left: 13.599074vw; /* 146.87px/1080 */
  top: 0.462963vw; /* 5px/1080 */
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore .defaultstatecd5bb0e4 .inside .mapplelogo {
  position: absolute;
  background-image: url("../img/mobile/mapplelogo.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  width: 7.62963vw; /* 82.40px/1080 */
  height: 7.62963vw; /* 82.40px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore:hover>.hoverstate79020c7c {
  display: inherit;
}
.landingpagemobile1 .mobilesection .mobilecta .btnappstore:hover>.defaultstatecd5bb0e4 {
  display: none;
}
.landingpagemobile1 .mobilesection .mobilecta .utiliza {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.388889vw; /* 69px/1080 */
  letter-spacing: 0.077778vw; /* 0.84px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 3.588889vw; /* 42px/1080 */
  font-weight: 500;
  width: 94.259259vw; /* 1018px/1080 */
  height: 17.407407vw; /* 188px/1080 */
  left: 0;
  top: 26.824074vw; /* 300.50px/1080 */
}
.landingpagemobile1 .misionsection {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 250.803704vw; /* 2708.68px/1080 */
  left: 0;
  top: 332.622222vw; /* 3592.32px/1080 */
}
.landingpagemobile1 .misionsection .bgmision {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 79.933333vw; /* 863.28px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .bgmision .rectangle762 {
  position: absolute;
  background-color: rgba(32, 32, 32, 1);
  -webkit-filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.54));
  filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.54));
  width: 100vw; /* 1080px/1080 */
  height: 79.933333vw; /* 863.28px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .bgmision .linepattern {
  position: absolute;
  background-image: url("../img/mobile/linepattern.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 100vw; /* 1080px/1080 */
  height: 7.852778vw; /* 84.81px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .mision {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 79.259259vw; /* 856px/1080 */
  height: 50.322222vw; /* 543.48px/1080 */
  left: 10.416667vw; /* 112.50px/1080 */
  top: 19.6vw; /* 211.68px/1080 */
}
.landingpagemobile1 .misionsection .mision .nuestraMision {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 8.611111vw; /* 93px/1080 */
  letter-spacing: 0.12963vw; /* 1.40px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 7.811111vw; /* 93px/1080 */
  font-weight: 600;
  width: 65.148148vw; /* 682px/1080 */
  height: 10.740741vw; /* 116px/1080 */
  left: 8.009259vw; /* 86.50px/1080 */
  top: 1.064815vw; /* 11.50px/1080 */
}
.landingpagemobile1 .misionsection .mision .somosUnaEmpresa {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.388889vw; /* 69px/1080 */
  letter-spacing: 0.077778vw; /* 0.84px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 3.588889vw; /* 42px/1080 */
  font-weight: 500;
  width: 79.259259vw; /* 856px/1080 */
  height: 30.185185vw; /* 326px/1080 */
  left: 0;
  top: 19.257407vw; /* 207.98px/1080 */
}
.landingpagemobile1 .misionsection .sabermas {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 162.222222vw; /* 1752px/1080 */
  left: 0;
  top: 88.581481vw; /* 956.68px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel1 {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  right: 0;
  top: 18.981481vw; /* 205px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel1 .mus {
  position: absolute;
  background-image: url("../img/mobile/mus.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 47.592593vw; /* 514px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel1 .insidepanel1 {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 52.407407vw; /* 566px/1080 */
  height: 47.685185vw; /* 515px/1080 */
  left: 47.592593vw; /* 514px/1080 */
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel1 .insidepanel1 .rectangle696 {
  position: absolute;
  background-color: rgba(255, 255, 255, 1);
  width: 52.407407vw; /* 566px/1080 */
  height: 47.685185vw; /* 515px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel1 .insidepanel1 .rectangle698 {
  position: absolute;
  background-color: rgba(252, 44, 72, 1);
  width: 6.759259vw; /* 73px/1080 */
  height: 0.740741vw; /* 8px/1080 */
  left: 8.425926vw; /* 91px/1080 */
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel1 .insidepanel1 .aprendeMas {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0.203704vw; /* 2.20px/1080 */
  color: rgba(223, 42, 66, 1);
  font-size: 3.674074vw; /* 44px/1080 */
  font-weight: 600;
  width: 29.259259vw; /* 316px/1080 */
  height: 5vw; /* 54px/1080 */
  left: 8.425926vw; /* 91px/1080 */
  top: 32.407407vw; /* 350px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel1 .insidepanel1 .mcurvedarrow {
  position: absolute;
  background-image: url("../img/mobile/mcurvedarrow.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 2.962963vw; /* 32px/1080 */
  height: 2.962963vw; /* 32px/1080 */
  left: 40vw; /* 432px/1080 */
  top: 33.611111vw; /* 363px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel1 .insidepanel1 .team {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0;
  color: rgba(58, 58, 58, 1);
  font-size: 7.718519vw; /* 92px/1080 */
  font-weight: 600;
  width: 21.388889vw; /* 231px/1080 */
  height: 10.555556vw; /* 114px/1080 */
  left: 8.425926vw; /* 91px/1080 */
  top: 11.018519vw; /* 119px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel1 .insidepanel1 .quienesSomos {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0.138889vw; /* 1.50px/1080 */
  color: rgba(58, 58, 58, 1);
  font-size: 2.577778vw; /* 30px/1080 */
  font-weight: 600;
  width: 23.518519vw; /* 254px/1080 */
  height: 3.518519vw; /* 38px/1080 */
  left: 8.425926vw; /* 91px/1080 */
  top: 26.296296vw; /* 284px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel2 {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 47.87037vw; /* 517px/1080 */
  right: 0;
  top: 66.666667vw; /* 720px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel2 .mcontroller {
  position: absolute;
  background-image: url("../img/mobile/mcontroller.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 47.592593vw; /* 514px/1080 */
  height: 47.87037vw; /* 517px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 52.416667vw; /* 566.10px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  left: 47.583333vw; /* 513.90px/1080 */
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 .rectangle69440e015b9 {
  position: absolute;
  box-sizing: border-box;
  background-color: rgba(32, 32, 32, 1);
  border-color: rgba(242, 242, 242, 1);
  border-style: solid;
  border-width: 0.740741vw; /* 8px/1080 */
  width: 52.416667vw; /* 566.10px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 .rectangle6997be07b9e {
  position: absolute;
  background-color: rgba(252, 44, 72, 1);
  width: 9.166667vw; /* 99px/1080 */
  height: 1.203704vw; /* 13px/1080 */
  left: 8.25vw; /* 89.10px/1080 */
  top: 0.740741vw; /* 8px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 .gamingIndustria {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  line-height: 4.907407vw; /* 53px/1080 */
  letter-spacing: 0.231481vw; /* 2.50px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 4.62963vw; /* 50px/1080 */
  font-weight: 600;
  width: 25.185185vw; /* 272px/1080 */
  height: 10.740741vw; /* 116px/1080 */
  left: 8.25vw; /* 89.10px/1080 */
  top: 19.814815vw; /* 214px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 .gamingIndustria .gamingIndustria-0 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 .gamingIndustria .gamingIndustria-6 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 .gamingIndustria .gamingIndustria-7 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel2 .insidepanel2 .gamingIndustria .gamingIndustria-9 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel3 {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  right: 0;
  top: 114.444444vw; /* 1236px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel3 .mcrystal {
  position: absolute;
  background-image: url("../img/mobile/mcrystal.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 47.592593vw; /* 514px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 52.416667vw; /* 566.10px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  left: 47.583333vw; /* 513.90px/1080 */
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 .rectangle694 {
  position: absolute;
  box-sizing: border-box;
  background-color: rgba(32, 32, 32, 1);
  border-color: rgba(242, 242, 242, 1);
  border-style: solid;
  border-width: 0.740741vw; /* 8px/1080 */
  width: 52.416667vw; /* 566.10px/1080 */
  height: 47.777778vw; /* 516px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 .rectangle699 {
  position: absolute;
  background-color: rgba(252, 44, 72, 1);
  width: 9.166667vw; /* 99px/1080 */
  height: 1.111111vw; /* 12px/1080 */
  left: 8.25vw; /* 89.10px/1080 */
  top: 0.833333vw; /* 9px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 .multiplayerMatchmaking {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  line-height: 4.907407vw; /* 53px/1080 */
  letter-spacing: 0.231481vw; /* 2.50px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 4.62963vw; /* 50px/1080 */
  font-weight: 600;
  width: 35.833333vw; /* 387px/1080 */
  height: 10.740741vw; /* 116px/1080 */
  left: 8.25vw; /* 89.10px/1080 */
  top: 20vw; /* 216px/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 .multiplayerMatchmaking .multiplayerMatchmaking-0 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 .multiplayerMatchmaking .multiplayerMatchmaking-11 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 .multiplayerMatchmaking .multiplayerMatchmaking-12 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .panel3 .insidepanel3 .multiplayerMatchmaking .multiplayerMatchmaking-14 {
  color: rgba(242, 242, 242, 1);
  font-weight: 600;
  font-size: 4.62963vw; /* 50px/1080 */
  letter-spacing: 0.231481vw; /* 2.5/1080 */
}
.landingpagemobile1 .misionsection .sabermas .saberMas {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0.127778vw; /* 1.38px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 7.718519vw; /* 92px/1080 */
  font-weight: 600;
  width: 43.611111vw; /* 471px/1080 */
  height: 10.555556vw; /* 114px/1080 */
  left: 28.055556vw; /* 303px/1080 */
  top: 0;
}
.landingpagemobile1 .visionsection {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 143.859259vw; /* 1553.68px/1080 */
  left: 0;
  top: 596.277778vw; /* 6439.80px/1080 */
}
.landingpagemobile1 .visionsection .bgvision {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 143.859259vw; /* 1553.68px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .visionsection .bgvision .rectangle703 {
  position: absolute;
  background-color: rgba(255, 255, 255, 1);
  -webkit-filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.48));
  filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.48));
  width: 100vw; /* 100vw/1080 */
  height: 69.707407vw; /* 752.84px/1080 */
  left: 0;
  top: 74.150926vw; /* 800.83px/1080 */
}
.landingpagemobile1 .visionsection .bgvision .rectangle704 {
  position: absolute;
  background-image: url("../img/mobile/rectangle704.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 100vw; /* 1080px/1080 */
  height: 66.375vw; /* 716.85px/1080 */
  left: 0;
  top: 7.775926vw; /* 83.98px/1080 */
}
.landingpagemobile1 .visionsection .bgvision .mlinepattern455bca6d {
  position: absolute;
  background-image: url("../img/mobile/mlinepattern455bca6d.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 100vw; /* 1080px/1080 */
  height: 7.775926vw; /* 83.98px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .visionsection .vision {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 93.703704vw; /* 1012px/1080 */
  height: 42.5vw; /* 459px/1080 */
  left: 3.148148vw; /* 34px/1080 */
  top: 87.703704vw; /* 947.20px/1080 */
}
.landingpagemobile1 .visionsection .vision .loQueMasBuscamos {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.203704vw; /* 67px/1080 */
  letter-spacing: 0.09537vw; /* 1.03px/1080 */
  color: rgba(35, 35, 35, 1);
  font-size: 3.396296vw; /* 41px/1080 */
  font-weight: 500;
  width: 93.703704vw; /* 1012px/1080 */
  height: 23.240741vw; /* 251px/1080 */
  left: 0;
  top: 18.472222vw; /* 199.50px/1080 */
}
.landingpagemobile1 .visionsection .vision .nuestraVision {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.944444vw; /* 75px/1080 */
  letter-spacing: 0.215741vw; /* 2.33px/1080 */
  color: rgba(35, 35, 35, 1);
  font-size: 7.711111vw; /* 93px/1080 */
  font-weight: 600;
  width: 61.666667vw; /* 666px/1080 */
  height: 10.740741vw; /* 116px/1080 */
  left: 16.018519vw; /* 173px/1080 */
  top: 1.898148vw; /* 20.50px/1080 */
}
.landingpagemobile1 .visionsection .msmartphone {
  position: absolute;
  background-image: url("../img/mobile/msmartphone.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 38.055556vw; /* 411px/1080 */
  height: 75.923148vw; /* 819.97px/1080 */
  left: 30.982407vw; /* 334.61px/1080 */
  top: 9.074074vw; /* 98px/1080 */
}
.landingpagemobile1 .funcionessection {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 244.907407vw; /* 2645px/1080 */
  left: 0;
  top: 754.62963vw; /* 8150px/1080 */
}
.landingpagemobile1 .funcionessection .bgfunciones {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 244.907407vw; /* 2645px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .bgfunciones .rectangle763 {
  position: absolute;
  background-color: rgba(32, 32, 32, 1);
  -webkit-filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.54));
  filter: drop-shadow(0px 20px 40px rgba(0, 0, 0, 0.54));
  width: 100vw; /* 1080px/1080 */
  height: 244.907407vw; /* 2645px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .bgfunciones .mlinepatternbaf59471 {
  position: absolute;
  background-image: url("../img/mobile/mlinepatternbaf59471.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 100vw; /* 1080px/1080 */
  height: 7.777778vw; /* 84px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .titlefunciones {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 47.037037vw; /* 508px/1080 */
  height: 12.5vw; /* 135px/1080 */
  left: 26.481481vw; /* 286px/1080 */
  top: 19.444444vw; /* 210px/1080 */
}
.landingpagemobile1 .funcionessection .titlefunciones .funciones {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  letter-spacing: 0;
  color: rgba(255, 255, 255, 1);
  -webkit-text-stroke: unset;
  font-size: 9.092593vw; /* 109px/1080 */
  font-weight: 600;
  width: 47.037037vw; /* 508px/1080 */
  height: 12.5vw; /* 135px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .chateaf7be52 {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 95.925926vw; /* 1036px/1080 */
  height: 31.018519vw; /* 335px/1080 */
  left: 0;
  top: 179.537037vw; /* 1939px/1080 */
}
.landingpagemobile1 .funcionessection .chateaf7be52 .chat {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0.225vw; /* 2.43px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 8.181481vw; /* 97px/1080 */
  font-weight: 600;
  width: 21.759259vw; /* 235px/1080 */
  height: 11.203704vw; /* 121px/1080 */
  left: 39.259259vw; /* 424px/1080 */
  top: 0;
}
.landingpagemobile1 .funcionessection .chateaf7be52 .conectateC {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.388889vw; /* 69px/1080 */
  letter-spacing: 0.019444vw; /* 0.21px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 3.588889vw; /* 42px/1080 */
  font-weight: 500;
  width: 91.851852vw; /* 992px/1080 */
  height: 11.018519vw; /* 119px/1080 */
  left: 4.074074vw; /* 44px/1080 */
  top: 19.12037vw; /* 206.50px/1080 */
}
.landingpagemobile1 .funcionessection .chateaf7be52 .rectangle7093603f2e9 {
  position: absolute;
  background-image: url("../img/mobile/rectangle7093603f2e9.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 1.944444vw; /* 21px/1080 */
  height: 11.574074vw; /* 125px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .find {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 98.055556vw; /* 1059px/1080 */
  height: 31.111111vw; /* 336px/1080 */
  left: 0;
  top: 136.851852vw; /* 1478px/1080 */
}
.landingpagemobile1 .funcionessection .find .findATeam {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0.225vw; /* 2.43px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 8.181481vw; /* 97px/1080 */
  font-weight: 600;
  width: 52.037037vw; /* 562px/1080 */
  height: 11.203704vw; /* 121px/1080 */
  left: 24.166667vw; /* 261px/1080 */
  top: 0;
}
.landingpagemobile1 .funcionessection .find .necesitas {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.388889vw; /* 69px/1080 */
  letter-spacing: 0.019444vw; /* 0.21px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 3.588889vw; /* 42px/1080 */
  font-weight: 500;
  width: 96.111111vw; /* 1038px/1080 */
  height: 11.018519vw; /* 119px/1080 */
  left: 1.944444vw; /* 21px/1080 */
  top: 19.212963vw; /* 207.50px/1080 */
}
.landingpagemobile1 .funcionessection .find .rectangle709 {
  position: absolute;
  background-image: url("../img/mobile/rectangle709.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 1.944444vw; /* 21px/1080 */
  height: 11.574074vw; /* 125px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .fill {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 95.555556vw; /* 1032px/1080 */
  height: 36.759259vw; /* 397px/1080 */
  left: 0;
  top: 88.425926vw; /* 955px/1080 */
}
.landingpagemobile1 .funcionessection .fill .fillYourTeam {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0.225vw; /* 2.43px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 8.081481vw; /* 97px/1080 */
  font-weight: 600;
  width: 58.981481vw; /* 637px/1080 */
  height: 11.203704vw; /* 121px/1080 */
  left: 20.648148vw; /* 223px/1080 */
  top: 0;
}
.landingpagemobile1 .funcionessection .fill .teFaltaUno {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.388889vw; /* 69px/1080 */
  letter-spacing: 0.019444vw; /* 0.21px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 3.588889vw; /* 42px/1080 */
  font-weight: 500;
  width: 91.111111vw; /* 984px/1080 */
  height: 17.407407vw; /* 188px/1080 */
  left: 4.444444vw; /* 48px/1080 */
  top: 18.472222vw; /* 199.50px/1080 */
}
.landingpagemobile1 .funcionessection .fill .rectangle708 {
  position: absolute;
  background-image: url("../img/mobile/rectangle708.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 1.944444vw; /* 21px/1080 */
  height: 11.759259vw; /* 127px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .filters {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 96.018519vw; /* 1037px/1080 */
  height: 31.388889vw; /* 339px/1080 */
  left: 0;
  top: 45.462963vw; /* 491px/1080 */
}
.landingpagemobile1 .funcionessection .filters .setYourFilters {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  letter-spacing: 0.225vw; /* 2.43px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 8.181481vw; /* 97px/1080 */
  font-weight: 600;
  width: 63.425926vw; /* 685px/1080 */
  height: 11.203704vw; /* 121px/1080 */
  left: 18.888889vw; /* 204px/1080 */
  top: 0.277778vw; /* 3px/1080 */
}
.landingpagemobile1 .funcionessection .filters .seleccionaUnC {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  line-height: 6.388889vw; /* 69px/1080 */
  letter-spacing: 0.019444vw; /* 0.21px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 3.588889vw; /* 42px/1080 */
  font-weight: 500;
  width: 92.037037vw; /* 994px/1080 */
  height: 11.018519vw; /* 119px/1080 */
  left: 3.981481vw; /* 43px/1080 */
  top: 19.490741vw; /* 210.50px/1080 */
}
.landingpagemobile1 .funcionessection .filters .rectangle707 {
  position: absolute;
  background-image: url("../img/mobile/rectangle707.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 1.944444vw; /* 21px/1080 */
  height: 11.574074vw; /* 125px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .btnprobar {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 47.592593vw; /* 514px/1080 */
  height: 12.777778vw; /* 138px/1080 */
  left: 26.203704vw; /* 283px/1080 */
  top: 221.388889vw; /* 2391px/1080 */
  border: none;
  outline: none;
}
.landingpagemobile1 .funcionessection .btnprobar .hoverstate {
  display: block;
  position: absolute;
  display: none;
  cursor: pointer;
  background-color: transparent;
  width: 47.592593vw; /* 514px/1080 */
  height: 12.777778vw; /* 138px/1080 */
  left: 0;
  top: 0.555556vw; /* 6px/1080 */
}
.landingpagemobile1 .funcionessection .btnprobar .hoverstate .rectangle6714d3f4949 {
  position: absolute;
  box-sizing: border-box;
  cursor: pointer;
  background-color: transparent;
  border-color: rgba(255, 153, 74, 1);
  border-style: solid;
  border-width: 0.555556vw; /* 6px/1080 */
  border-radius: 6.388889vw; /* 69px/1080 */
  width: 47.592593vw; /* 514px/1080 */
  height: 12.777778vw; /* 138px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .btnprobar .hoverstate .probar6aff5847 {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  letter-spacing: 0.137037vw; /* 1.48px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 4.962963vw; /* 59px/1080 */
  font-weight: 600;
  white-space: pre;
  width: 17.592593vw; /* 190px/1080 */
  height: 6.666667vw; /* 72px/1080 */
  left: 14.907407vw; /* 161px/1080 */
  top: 3.055556vw; /* 33px/1080 */
}
.landingpagemobile1 .funcionessection .btnprobar .defaultstate {
  display: block;
  position: absolute;
  cursor: pointer;
  background-color: transparent;
  width: 47.592593vw; /* 514px/1080 */
  height: 12.777778vw; /* 138px/1080 */
  left: 0;
  top: 0.555556vw; /* 6px/1080 */
}
.landingpagemobile1 .funcionessection .btnprobar .defaultstate .rectangle671 {
  position: absolute;
  background-image: url("../img/mobile/rectangle671.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  border-color: rgba(32, 32, 32, 1);
  border-style: none;
  border-width: 0.185185vw; /* 2px/1080 */
  border-radius: 6.388889vw; /* 69px/1080 */
  width: 47.592593vw; /* 514px/1080 */
  height: 12.777778vw; /* 138px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .funcionessection .btnprobar .defaultstate .probar {
  position: absolute;
  cursor: pointer;
  background-color: rgba(255, 255, 255, 0);
  text-align: center;
  letter-spacing: 0.137037vw; /* 1.48px/1080 */
  color: rgba(242, 242, 242, 1);
  font-size: 4.962963vw; /* 59px/1080 */
  font-weight: 600;
  white-space: pre;
  width: 17.592593vw; /* 190px/1080 */
  height: 6.666667vw; /* 72px/1080 */
  left: 14.907407vw; /* 161px/1080 */
  top: 3.055556vw; /* 33px/1080 */
}
.landingpagemobile1 .funcionessection .btnprobar:hover>.hoverstate {
  display: inherit;
}
.landingpagemobile1 .funcionessection .btnprobar:hover>.defaultstate {
  display: none;
}
.landingpagemobile1 .footersection {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 100vw; /* 1080px/1080 */
  height: 23.796296vw; /* 257px/1080 */
  left: 0;
  top: 1011.481481vw; /* 10924px/1080 */
}
.landingpagemobile1 .footersection .mlinepattern {
  position: absolute;
  background-image: url("../img/mobile/mlinepattern.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 100vw; /* 1080px/1080 */
  height: 7.777778vw; /* 84px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .footersection .footercontent {
  display: block;
  position: absolute;
  background-color: transparent;
  width: 80.740741vw; /* 872px/1080 */
  height: 8.888889vw; /* 96px/1080 */
  left: 9.62963vw; /* 104px/1080 */
  top: 14.907407vw; /* 161px/1080 */
}
.landingpagemobile1 .footersection .footercontent .mteammatchlogomini {
  position: absolute;
  background-image: url("../img/mobile/mteammatchlogomini.webp");
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
  background-color: rgba(255, 255, 255, 0);
  width: 8.333333vw; /* 90px/1080 */
  height: 8.888889vw; /* 96px/1080 */
  left: 0;
  top: 0;
}
.landingpagemobile1 .footersection .footercontent .x2020TeammatchallRightsReserved {
  position: absolute;
  background-color: rgba(255, 255, 255, 0);
  text-align: right;
  line-height: 4.074074vw; /* 44px/1080 */
  letter-spacing: 0.016667vw; /* 0.18px/1080 */
  color: rgba(242, 242, 242, 1);
  -webkit-text-stroke: unset;
  font-size: 2.940741vw; /* 35px/1080 */
  font-weight: 500;
  white-space: pre;
  width: 30.185185vw; /* 326px/1080 */
  height: 8.055556vw; /* 87px/1080 */
  left: 43.425926vw; /* 469px/1080 */
  top: -0.046296vw; /* -0.50px/1080 */
}
.landingpagemobile1 .footersection .footercontent .accent {
  position: absolute;
  -ms-transform: rotate(90.00deg);
  -webkit-transform: rotate(90.00deg);
  transform: rotate(90.00deg);
  -ms-transform-origin: center;
  -webkit-transform-origin: center;
  transform-origin: center;
  background-color: rgba(252, 44, 72, 1);
  width: 8.888889vw; /* 96px/1080 */
  height: 1.388889vw; /* 15px/1080 */
  left: 75.601852vw; /* 816.50px/1080 */
  top: 3.75vw; /* 40.50px/1080 */
}

license: Unlicense


text:
@book{khare2015beautiful,
  title={Beautiful, Simple, Exact, Crazy},
  author={Khare, Apoorva and Lachowska, Anna},
  booktitle={Beautiful, Simple, Exact, Crazy},
  year={2015},
  publisher={Yale University Press}
}

@book{angel2017survey,
  title={A survey of mathematics with applications},
  author={Angel, Allen R and Porter, Stuart R},
  year={2017},
  publisher={Pearson Addison Wesley}
}

@book{mills2014problems,
  title={Problems in Probability},
  author={Mills, TM},
  volume={13},
  year={2014},
  publisher={World Scientific}
}


text:
@article{liu2021exploiting,
  title={Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning},
  author={Liu, Vincent and Wright, James and White, Martha},
  journal={Under Submission},
  year={2022},
  url={https://arxiv.org/abs/2111.08066}
}

@article{wang2022no,
  title={No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL},
  author={Wang, Han and Sakhadeo, Archit and White, Adam and Bell, James and Liu, Vincent and Zhao, Xutong and Liu, Puer and Kozuno, Tadashi and Fyshe, Alona and White, Martha},
  journal={Under Submission},
  year={2022},
  url={https://arxiv.org/abs/2205.08716}
}

@article{wang2022investigating,
  title={Investigating the Properties of Neural Network Representations in Reinforcement Learning},
  author={Wang, Han and Miahi, Erfan and White, Martha and Machado, Marlos C and Abbas, Zaheer and Kumaraswamy, Raksha and Liu, Vincent and White, Adam},
  journal={Under Submission},
  year={2022},
  url={https://arxiv.org/abs/2203.15955}
}

@inproceedings{nath2020training,
  title={Training Recurrent Neural Networks Online by Learning Explicit State Variables},
  author={Somjit Nath and Vincent Liu and Alan Chan and Adam White and Martha White},
  booktitle={International Conference on Learning Representations},
  year={2020},
  url={https://openreview.net/forum?id=SJgmR0NKPr}
}

@inproceedings{liu2019utility,
  title={The utility of sparse representations for control in reinforcement learning},
  author={Liu, Vincent and Kumaraswamy, Raksha and Le, Lei and White, Martha},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  number={01},
  pages={4384--4391},
  year={2019}
}

@inproceedings{bennett2019incrementally,
  title={A Value Function Basis for Nexting and Multi-step Prediction},
  author={Andrew Jacobsen, Vincent Liu, Roshan Shariff, Adam White, Martha White},
  booktitle={The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
},
  year={2019}
}

@inproceedings{bennett2019incrementally,
  title={Incrementally Learning Functions of the Return},
  author={Bennett, Brendan and Chung, Wesley and Zaheer, Muhammad and Liu, Vincent},
  booktitle={The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
},
  year={2019}
}

@article{chen2020attribute,
  title={Attribute-aware recommender system based on collaborative filtering: Survey and classification},
  author={Chen, Wen-Hao and Hsu, Chin-Chi and Lai, Yi-An and Liu, Vincent and Yeh, Mi-Yen and Lin, Shou-De},
  journal={Frontiers in big Data},
  volume={2},
  pages={49},
  year={2019},
  publisher={Frontiers Media SA}
}

gha_license_id: MIT


text:
@inproceedings{guneysu2018iterative,
 author = {Guneysu Ozgur, Arzu and Wessel, Maximilian Jonas and Johal, Wafa and Sharma, Kshitij and Özgür, Ayberk and Vuadens, Philippe and Mondada, Francesco and Hummel, Friedhelm Christoph and Dillenbourg, Pierre},
 booktitle = {Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction},
 organization = {ACM},
 pages = {241--250},
 title = {Iterative design of an upper limb rehabilitation game with tangible robots},
 year = {2018}
}

repository: estella-a/research-group-website-src

repo_name: estella-a/research-group-website-src

branch_name: refs/heads/main


text:
@article{choromanski2023efficient,
  title={Efficient Graph Field Integrators Meet Point Clouds},
  author={Choromanski, Krzysztof and Sehanobish, Arijit and Lin, Han and Zhao,
  Yunfan and Berger, Eli and Parshakova, Tetiana and others},
  journal={arXiv preprint arXiv:2302.00942},
  year={2023},
  paper={https://arxiv.org/abs/2302.00942}
}

@article{parshakova2022oracle,
  title={An Oracle-Structured Bundle Method for Distributed Optimization},
  author={Parshakova, Tetiana and Zhang, Fangzhao and Boyd, Stephen},
  journal={arXiv preprint arXiv:2211.01418},
  year={2022},
  month=nov # "~2",
  paper={https://arxiv.org/pdf/2211.01418.pdf},
  code={https://github.com/cvxgrp/OSBDO}
}

@misc{athas2022interpolation,
  title={Interpolation Method and Apparatus for Arithmetic Functions},
  author={Athas, William C and Nadeem, Zaid M and Parshakova, Tetiana},
  year={2022},
  month=mar # "~31",
  publisher={Google Patents},
  note={US Patent App. 17/085,971},
  website={https://patents.google.com/patent/US20220100818A1/en?oq=US20220100818A1}
}

@misc{parshakova2022methods,
  title={Methods and systems for producing neural sequential models},
  author={Parshakova, Tetiana and Dymetman, Marc and Andr{\'e}oli, Jean-marc},
  year={2022},
  month=mar # "~17",
  publisher={Google Patents},
  note={US Patent App. 17/018,754},
  website={https://patents.google.com/patent/US20220083852A1/en}
}

@article{parshakova2019distributional,
  title={Distributional reinforcement learning for energy-based sequential models},
  author={Parshakova, Tetiana and Andreoli, Jean-Marc and Dymetman, Marc},
  journal={NeurIPS 2019 Optimization Foundations of Reinforcement Learning Workshop},
  year={2019},
  month=dec # "~18",
  paper={https://arxiv.org/pdf/1912.08517.pdf},
  code={https://github.com/parshakova/GAMS-for-Data-Efficient-Learning}
}

@article{parshakova2019global,
  title={Global autoregressive models for data-efficient sequence learning},
  author={Parshakova, Tetiana and Andreoli, Jean-Marc and Dymetman, Marc},
  journal={The SIGNLL Conference on Computational Natural Language Learning},
  year={2019},
  month=sep # "~19",
  paper={https://arxiv.org/pdf/1909.07063.pdf},
  code={https://github.com/parshakova/GAMS-for-Data-Efficient-Learning}
}

@article{parshakova2019latent,
  title={Latent question interpretation through variational adaptation},
  author={Parshakova, Tetiana and Rameau, Francois and others},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  volume={27},
  number={11},
  pages={1713--1724},
  year={2019},
  month=jul # "~22",
  publisher={IEEE},
  paper={https://ieeexplore.ieee.org/document/8768225},
  code={https://github.com/parshakova/APIP}
}

@article{parshakova2019latent,
  title={Latent question interpretation: parameter adaptation using interpretation policy},
  author={Parshakova, Tetiana},
  year={2019},
  month=feb # "~19",
  publisher={한국과학기술원},
  paper={http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=913345&flag=dissertation}
}

@inproceedings{parshakova2018latent,
  title={Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron.},
  author={Parshakova, Tetiana and Kim, Dae-Shik},
  booktitle={MRC@ IJCAI},
  pages={46--55},
  year={2018},
  month=jul # "~13",
  paper={https://ceur-ws.org/Vol-2134/paper07.pdf},
  code={https://github.com/parshakova/apsn}
}

@inproceedings{parshakova2018umorph,
  title={UMorph: Self-change tracker to reflect yourself to the future and past},
  author={Parshakova, Tetiana and Saakes, Daniel},
  booktitle={Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems},
  pages={307--310},
  year={2018},
  month=jun # "~9",
  paper={https://dl.acm.org/doi/pdf/10.1145/3197391.3205391}
}

@inproceedings{parshakova2017furniture,
  title={Furniture that Learns to Move Itself},
  author={Parshakova, Tetiana and Cho, Minjoo and Cassinelli, Alvaro and Saakes, Daniel},
  booktitle={Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
  pages={457--457},
  year={2017},
  month=may # "~17",
  paper={https://dl.acm.org/doi/abs/10.1145/3027063.3049778}
}

@incollection{parshakova2016ratchair,
  title={Ratchair: Furniture learns to move itself with vibration},
  author={Parshakova, Tetiana and Cho, Minjoo and Cassinelli, Alvaro and Saakes, Daniel},
  booktitle={ACM SIGGRAPH 2016 Emerging Technologies},
  pages={1--2},
  year={2016},
  month=jul # "~24",
  paper={https://dl.acm.org/doi/abs/10.1145/2929464.2929473}
}


text:
/* Copyright (C) Liam Feehery - All Rights Reserved
 * Unauthorized copying of this file, via any medium is strictly prohibited
 * Proprietary and confidential
 * Written by Liam Feehery <wfeehery17@archmereacademy.com>, April 2015
 * "Because Copyright"-Liam
 */
body {
	background-color: black;
	position: relative;
	margin: 0px;
}
.fullscreen {
	position: fixed;
	top: 0%;
	left: 0%;
	width: 100%;
	height: 100%;
}
#projector {
	background-color: gray;
}
.hidden {
	display: none;
}
#setuppage div {
	position: fixed;
	border-style: solid;
	border-radius: 25px;
	border-width: 0px;
	text-align: center;
	width: 80%;
	height: calc(30% - 10px);
	left: 10%;
	font-size: 36px;
	-webkit-transition-duration: 0.3s;
	transition-duration: 0.3s;
	-webkit-transition-property: transform;
	transition-property: transform;
}
.centered {
	position: relative;
	top: calc(50% - 1em / 2);
}
#setuppage div:hover {
	-webkit-transform: scale(1.1);
	transform: scale(1.1);
}
/*#setup div * {
	position: relative;
	top: calc(50% - 1em / 2);
}*/
#server-button {
	bottom: 20%;
	background-color: #0000CC;
}
#server-button:hover {
	background-color: #0000FF;
}
#client-button {
	top: 20%;
	background-color: #00CC00;
}
#client-button:hover {
	background-color: #00FF00;
}
#terminal-input {
	outline-width: 0;
	background: none;
	border-width: 0px;
	left: 1em;
	width: 100%;
	font-size: 16px;
	bottom: 1em;
	position: fixed;
}
#terminal-text {
	font-size: 16px;
	padding-left: 5px;
	bottom: 2em;
	position: fixed;
	width: 100%;
	height: auto;
	display: inline-block;
}
/*pages*/
.centered-children {
	text-align: center;
}
#setuppage {
	background-color: #006666;
}
#userloginpage {
	background: #f68dbb;
}
#client-connectingpage {
	background: #fdc162;
}
#server-setup1, #joinserverpage {
	background: #0ac2d2;
	text-align: center;
}
#server-terminal {
	background: #067680;
}
#aboutpage {
	background: #00FFFF;
}
#filechooserloadingpage {
	background: #FF00FF;
}
#filechooser {
	background: #FFFFFF;
}
#availplayers-page {
	background: #FFFFFF;
}

repository: mailmindlin/PeerRisk

repo_name: mailmindlin/PeerRisk


text:
@inproceedings{yang2011,
  title = {Fast Sparse Matrix-Vector Multiplication on {{GPUs}}: Implications for Graph Mining},
  shorttitle = {Fast Sparse Matrix-Vector Multiplication on {{GPUs}}},
  booktitle = {Proceedings of the {{VLDB Endowment}}},
  author = {Yang, Xintian and Parthasarathy, Srinivasan and Sadayappan, P.},
  editor = {Jagadish, H. V. and Blakeley, José and Hellerstein, Joseph M. and Koudas, Nick and Lehner, Wolfgang and Sarawagi, Sunita and Röhm, Uwe},
  year = {2011},
  volume = {4},
  pages = {231--242},
  publisher = {{VLDB Endowment}},
  address = {{United States of America}},
  issn = {2150-8097},
  doi = {10.14778/1938545.1938548},
  url = {https://dl.acm.org/doi/10.14778/1938545.1938548},
  copyright = {Copyright 2011 VLDB Endowment},
  language = {en-US},
  organization = {{Google}}
}

url: https://raw.githubusercontent.com/retorquere/bibtex-parser/05fd68b215b96634dea5a7e6ea5e1be187caf3ed/test/better-bibtex/export/BibTeX Entries with Volume and Number Fields #1475.bibtex

repository: retorquere/bibtex-parser

repo_name: retorquere/bibtex-parser

extension: bibtex


text:
@inproceedings{Ledo:2017:PBP:3025453.3025652,
 acmid = {3025652},
 address = {New York, NY, USA},
 author = {Ledo, David and Anderson, Fraser and Schmidt, Ryan and Oehlberg, Lora and Greenberg, Saul and Grossman, Tovi},
 booktitle = {Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems},
 doi = {10.1145/3025453.3025652},
 isbn = {978-1-4503-4655-9},
 keywords = {3d printing, fabrication, rapid prototyping, smart objects},
 location = {Denver, Colorado, USA},
 numpages = {11},
 pages = {2583--2593},
 publisher = {ACM},
 series = {CHI '17},
 title = {Pineal: Bringing Passive Objects to Life with Embedded Mobile Devices},
 url = {http://doi.acm.org/10.1145/3025453.3025652},
 year = {2017}
}

repository: jmatejka/group-website

repo_name: jmatejka/group-website


text:
html,
body,
video {
  margin: 0;
  padding: 0;
  width: 100%;
  height: 100%;
}

html,
body {
  font-size: 24px;
  font-family: Arial, Helvetica, sans-serif;
  background-color: #000;
}

.overlay {
  position: absolute;
  display: flex;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  display: none;
  align-items: center;
  justify-content: center;
  flex-direction: column;
  z-index: 5;
}

.wrapper {
  max-width: 75%;
  min-width: 300px;
  display: flex;
  flex-direction: column;
}

.question {
  color: #fff;
  background-color: rgba(0, 0, 0, 0.5);
  margin: 0 auto 16px;
}

.answers {
  display: flex;
  flex-direction: column;
}

button {
  position: relative;
  font-size: 0.8rem;
  padding: 8px;
  width: 100%;
  border: 2px solid transparent;
  margin-bottom: 4px;
  border-radius: 24px;
  background-color: rgba(0, 0, 0, 0.5);
  transition: border 200ms;
  color: #fff;
  animation: showInAnimation 400ms forwards;
  opacity: 0;
}

button:hover {
  border-color: #fff;
  cursor: pointer;
}

.correct {
  color: #00ff00;
}

.wrong {
  color: #ff0000;
}

@keyframes showInAnimation {
  from {
    transform: scale(0.9, 0.7);
    opacity: 0;
  }
  to {
    transform: scale(1);
    opacity: 1;
  }
}

repository: bartoszlorek/video-quiz

repo_name: bartoszlorek/video-quiz


text:
@inproceedings{gretsi2007,
 address = {Troyes},
 author = {F. Chatelain and A. Ferrari and J.-Y. Tourneret},
 booktitle = {GRETSI},
 title = {Détection d'exoplanètes à l'aide de
méthodes des moments},
 year = {2007}
}

repository: andferrari/academic-kickstart

repo_name: andferrari/academic-kickstart


text:
/**
 * ===================================================================
 * 12. resume - (_layout.scss)
 *
 * -------------------------------------------------------------------
 */

 .row {
	width: 94%;
	max-width: 1140px;
	margin: 0 auto;
}

.row:before,
.row:after {
	content: "";
	display: table;
}

.row:after {
	clear: both;
}

.row .row {
	width: auto;
	max-width: none;
	margin-left: -20px;
	margin-right: -20px;
}
 #resume {
	padding-top: 12rem;
	padding-bottom: 12rem;
}

#resume .resume-header {
	text-align: center;
}
#resume .resume-header h2 {
	color: #1c1e26;
}

#resume .resume-timeline {
	max-width: 980px;
}
#resume .timeline-wrap {
	position: relative;
	margin-top: 1.5rem;
	margin-bottom: 6rem;
}
#resume .timeline-wrap::before {
	content: "";
	display: block;
	width: 1px;
	height: 100%;
	background: rgba(0, 0, 0, 0.1);
	position: absolute;
	left: 35%;
	top: 0;
}
#resume .timeline-block {
	position: relative;
	padding-top: 1.5rem;
}
#resume .timeline-ico {
	height: 4.8rem;
	width: 4.8rem;
	line-height: 4.8rem;
	background: #313131;
	border-radius: 50%;
	text-align: center;
	color: #FFFFFF;
	position: absolute;
	left: 35%;
	top: .9rem;
	margin-left: -2.4rem;
}
#resume .timeline-ico i {
	position: relative;
	left: .05rem;
	top: .2rem;
}

#resume .timeline-header {
	float: left;
	width: 35%;
	padding-right: 90px;
	text-align: right;
}
#resume .timeline-header h3 {
	margin-bottom: 0;
}
#resume .timeline-header p {
	font-family: "poppins-regular", sans-serif;
	font-size: 1.6rem;
	color: #888888;
}
#resume .timeline-content {
	margin-left: 35%;
	padding-left: 60px;
}
#resume .timeline-content h4 {
	position: relative;
	padding-bottom: 1.8rem;
}
#resume .timeline-content h4::after {
	content: "";
	display: block;
	height: 3px;
	width: 50px;
	background: rgba(0, 0, 0, 0.2);
	position: absolute;
	left: 0;
	bottom: 0;
}

/**
 * responsive:
 * resume
 * -------------------------------------------------------------------
 */
@media only screen and (max-width:1024px) {
	#resume .timeline-header {
		padding-right: 50px;
	}
	#resume .timeline-header h3 {
		font-size: 1.8rem;
	}
	#resume .timeline-header p {
		font-size: 1.4rem;
	}
	#resume .timeline-content {
		padding-left: 50px;
	}
}
@media only screen and (max-width:768px) {
	#resume .timeline-wrap::before {
		left: 2.4rem;
	}
	#resume .timeline-ico {
		left: 2.4rem;
	}
	#resume .timeline-header {
		float: none;
		width: auto;
		padding-right: 15px;
		text-align: left;
	}
	#resume .timeline-header h3 {
		font-size: 2rem;
	}
	#resume .timeline-header p {
		font-size: 1.5rem;
		margin-bottom: 1.5rem;
	}
	#resume .timeline-content {
		margin: 0;
	}
	#resume .timeline-content h4 {
		padding-bottom: 0;
		padding-top: 2.1rem;
		margin-bottom: .6rem;
		font-size: 1.7rem;
	}
	#resume .timeline-content h4::after {
		bottom: auto;
		top: 0;
	}
	#resume .timeline-header, #resume .timeline-content {
		padding-left: 7rem;
	}
}
@media only screen and (max-width:480px) {
	#resume .resume-header h2 {
		font-size: 2.2rem;
	}
	#resume .timeline-wrap::before {
		left: 1.8rem;
	}
	#resume .timeline-ico {
		height: 3.6rem;
		width: 3.6rem;
		line-height: 3.6rem;
		left: 1.8rem;
		margin-left: -1.8rem;
		font-size: 1.5rem;
	}
	#resume .timeline-header, #resume .timeline-content {
		padding-left: 5.5rem;
	}
}


text:
vcpkg_fail_port_install(ON_TARGET "UWP")

vcpkg_check_linkage(ONLY_STATIC_LIBRARY)

vcpkg_from_github(
    OUT_SOURCE_PATH SOURCE_PATH
    REPO abseil/abseil-cpp
    REF 29235139149790f5afc430c11cec8f1eb1677607 #commit 2019-12-19
    SHA512 be34c782eb6cdb3355ab56f1592e692435a63bf19a0364980d498c75db267e986e60a3e425bd3b9c57b7f8afdb7c642eb68386165ec147a6d5b448570bbe756a
    HEAD_REF master
    PATCHES
        fix-usage-lnk-error.patch
        fix-lnk2019-error.patch
)

vcpkg_configure_cmake(
    SOURCE_PATH ${SOURCE_PATH}
    PREFER_NINJA
)

vcpkg_install_cmake()
vcpkg_fixup_cmake_targets(CONFIG_PATH lib/cmake/absl TARGET_PATH share/absl)

vcpkg_copy_pdbs()

file(INSTALL ${SOURCE_PATH}/LICENSE DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT} RENAME copyright)
file(REMOVE_RECURSE ${CURRENT_PACKAGES_DIR}/debug/share
                    ${CURRENT_PACKAGES_DIR}/debug/include
                    ${CURRENT_PACKAGES_DIR}/include/absl/copts
                    ${CURRENT_PACKAGES_DIR}/include/absl/strings/testdata
                    ${CURRENT_PACKAGES_DIR}/include/absl/time/internal/cctz/testdata)

repository: JackBoos/vcpkg

repo_name: JackBoos/vcpkg

gha_license_id: NOASSERTION

extension: cmake


text:
.progress {
    background-color: #edf1f2;
    border-radius: 0;
    margin-bottom: 0;
    position: relative;
}

.progress .progress-bar {
    line-height: 20px;
    overflow: hidden;
    position: absolute;
}

.progress-loading {
    width: 100%;
    transition: opacity 0.6s ease 0s;
    position: absolute;
}

.progress-loading-fixed{
    z-index: 300;
    position: fixed;
    top: 0;
}

.progress-loading .empty-bar, .progress-loading .full-bar{
    opacity: 0;
}

.progress-xxs {
    height: 2px;
}

.progress-xs {
    height: 6px;
}

.progress-sm {
    height: 12px;
}

.progress-sm .progress-bar {
    font-size: 10px;
    line-height: 1em;
}

.progress,
.progress-bar {
    -webkit-box-shadow: none;
    box-shadow: none;
}

.progress-bar-primary {
    background-color: #7266ba;
}

.progress-bar-info {
    background-color: #23b7e5;
}

.progress-bar-success {
    background-color: #27c24c;
}

.progress-bar-warning {
    background-color: #fad733;
}

.progress-bar-danger {
    background-color: #f05050;
}

.progress-bar-black {
    background-color: #1c2b36;
}

.progress-bar-white {
    background-color: #fff;
}

.progress.right .progress-bar {
    right: 0;
}
.progress.vertical {
    float: left;
    height: 100%;
    margin-right: 20px;
    width: 20px;
}
.progress.vertical.bottom {
    position: relative;
}
.progress.vertical .progress-bar {
    height: 0;
    transition: height 0.6s ease 0s;
    width: 100%;
}
.progress.vertical.bottom .progress-bar {
    bottom: 0;
    position: absolute;
}


text:
SUMMARY = "C++ bindings for the GTK+ toolkit V3"
HOMEPAGE = "http://www.gtkmm.org/"
SECTION = "libs"

LICENSE = "LGPL-2.1-only & GPL-2.0-only"
LIC_FILES_CHKSUM = "file://COPYING;md5=4fbd65380cdd255951079008b364516c \
                    file://COPYING.tools;md5=751419260aa954499f7abaabaa882bbe"

DEPENDS = "glib-2.0-native atkmm pangomm glibmm gtk+3 cairomm gdk-pixbuf-native"

BPN = "gtkmm"

GNOMEBASEBUILDCLASS = "meson"

inherit gnomebase features_check

ANY_OF_DISTRO_FEATURES = "${GTK3DISTROFEATURES}"

SRC_URI[archive.sha256sum] = "1d7a35af9c5ceccacb244ee3c2deb9b245720d8510ac5c7e6f4b6f9947e6789c"

EXTRA_OEMESON = "-Dbuild-demos=false"

FILES:${PN}-dev += "${libdir}/*/include ${libdir}/*/proc/m4"

repository: openembedded/meta-openembedded

repo_name: openembedded/meta-openembedded

gha_language: BitBake


text:
@article{uchendu2022bootstrapped,
  title={Jump-Start Reinforcement Learning},
  author={Uchendu, Ikechukwu and Xiao, Ted and Lu, Yao and Zhu, Banghua and Yan, Mengyuan and Simon, Joséphine and Bennice, Matthew and Fu, Chuyuan and Ma, Cong and Jiao, Jiantao and Levine, Sergey and Hausman, Karol},
  journal={arXiv preprint arXiv:2204.02372},
  year={2022}
}

gha_language: HTML


text:
file(REMOVE_RECURSE
  "CMakeFiles/09.Parsing-Numbers-from-a-Line.dir/main.cpp.obj"
  "09.Parsing-Numbers-from-a-Line.pdb"
  "09.Parsing-Numbers-from-a-Line.exe"
  "09.Parsing-Numbers-from-a-Line.exe.manifest"
  "lib09.Parsing-Numbers-from-a-Line.dll.a"
)

# Per-language clean rules from dependency scanning.
foreach(lang CXX)
  include(CMakeFiles/09.Parsing-Numbers-from-a-Line.dir/cmake_clean_${lang}.cmake OPTIONAL)
endforeach()

repository: bozhikovstanislav/Cpp-SoftUni

repo_name: bozhikovstanislav/Cpp-SoftUni


text:
@misc{interpretable_ml_orduz_2021,
    author={Orduz, Juan},
    title={Exploring Tools for Interpretable Machine Learning},
    howpublished = "\url{https://juanitorduz.github.io/interpretable_ml/}",
    url={https://juanitorduz.github.io/interpretable_ml/},
    year={2021},
    month={Jul}
}

@book{molnar2019,
    title      = {Interpretable Machine Learning},
    author     = {Christoph Molnar},
    note       = {\url{https://christophm.github.io/interpretable-ml-book/}},
    year       = {2019},
    subtitle   = {A Guide for Making Black Box Models Explainable}
}

@book{masis2021,
    title      = {Interpretable Machine Learning with Python},
    author     = {Serg Mas\'is},
    publisher  = {Packrat},
    isbn       = {9781800203907},
    note       = {\url{https://github.com/PacktPublishing/Interpretable-Machine-Learning-with-Python}},
    year       = {2021}
}

@incollection{NIPS2017_7062,
title = {A Unified Approach to Interpreting Model Predictions},
author = {Lundberg, Scott M and Lee, Su-In},
booktitle = {Advances in Neural Information Processing Systems 30},
editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
pages = {4765--4774},
year = {2017},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf}
}

@article{scikit-learn,
 title={Scikit-learn: Machine Learning in {P}ython},
 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
         and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
         and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
         Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
 journal={Journal of Machine Learning Research},
 volume={12},
 pages={2825--2830},
 year={2011}
}

@inproceedings{xgboost,
 author = {Chen, Tianqi and Guestrin, Carlos},
 title = {{XGBoost}: A Scalable Tree Boosting System},
 booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
 series = {KDD '16},
 year = {2016},
 isbn = {978-1-4503-4232-2},
 location = {San Francisco, California, USA},
 pages = {785--794},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/2939672.2939785},
 doi = {10.1145/2939672.2939785},
 acmid = {2939785},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {large-scale machine learning},
}

@book{statrethinkingbook,
  author = {McElreath, Richard},
  Publisher = {CRC Press},
  Title = {Statistical Rethinking: A Bayesian Course with Examples in R and Stan, 2nd Edition},
  Edition = {2},
  Year = {2020},
  URL = {http://xcelab.net/rm/statistical-rethinking/}
}

@book{10.2307/j.ctv1c29t27,
 ISBN = {9780300251685},
 URL = {http://www.jstor.org/stable/j.ctv1c29t27},
 author = {Scott Cunningham},
 publisher = {Yale University Press},
 title = {Causal Inference: The Mixtape},
 year = {2021}
}

@misc{molnar2021general,
      title={General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models},
      author={Christoph Molnar and Gunnar K\"onig and Julia Herbinger and Timo Freiesleben and Susanne Dandl and Christian A. Scholbeck and Giuseppe Casalicchio and Moritz Grosse-Wentrup and Bernd Bischl},
      year={2021},
      eprint={2007.04131},
      archivePrefix={arXiv},
      primaryClass={stat.ML}
}

@misc{molnar2020interpretable,
      title={Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges},
      author={Christoph Molnar and Giuseppe Casalicchio and Bernd Bischl},
      year={2020},
      eprint={2010.09337},
      archivePrefix={arXiv},
      primaryClass={stat.ML}
}

@misc{tdd_sl,
    author={Lundberg, Scott},
    title={Be Careful When Interpreting Predictive Models in Search of Causal Insights},
    howpublished = "\url{https://towardsdatascience.com/be-careful-when-interpreting-predictive-models-in-search-of-causal-insights-e68626e664b6}",
    url={https://towardsdatascience.com/be-careful-when-interpreting-predictive-models-in-search-of-causal-insights-e68626e664b6},
    publisher = {https://towardsdatascience.com/},
    year={2021},
    month={May}
}

gha_language: Jupyter Notebook


text:
@Manual{R-knitr,
  title = {knitr: A General-Purpose Package for Dynamic Report Generation in R},
  author = {Yihui Xie},
  year = {2020},
  note = {R package version 1.28},
  url = {https://CRAN.R-project.org/package=knitr},
}
@Manual{R-rmarkdown,
  title = {rmarkdown: Dynamic Documents for R},
  author = {JJ Allaire and Yihui Xie and Jonathan McPherson and Javier Luraschi and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and Winston Chang and Richard Iannone},
  year = {2020},
  note = {R package version 2.1},
  url = {https://CRAN.R-project.org/package=rmarkdown},
}
@Manual{R-warbleR,
  title = {warbleR: Streamline Bioacoustic Analysis},
  author = {Marcelo Araya-Salas and Grace Smith-Vidaurre},
  year = {2020},
  note = {R package version 1.1.23},
  url = {https://CRAN.R-project.org/package=warbleR},
}
@Manual{R-wavesurfer,
  title = {wavesurfer: Create Interactive Sound Player and Visualizer in R},
  author = {Athos Damiani and {Katspaugh}},
  note = {R package version 0.1.0},
  url = {https://github.com/athospd/wavesurfer/issues},
  year = {2020},
}
@Manual{R-wikiaves,
  title = {wikiaves: API to retrieve sounds from wikiaves.com.br},
  author = {Athos Damiani},
  year = {2020},
  note = {R package version 0.0.1},
}
@Manual{R-xaringan,
  title = {xaringan: Presentation Ninja},
  author = {Yihui Xie},
  year = {2020},
  note = {R package version 0.16.1},
  url = {https://github.com/yihui/xaringan},
}
@Book{knitr2015,
  title = {Dynamic Documents with {R} and knitr},
  author = {Yihui Xie},
  publisher = {Chapman and Hall/CRC},
  address = {Boca Raton, Florida},
  year = {2015},
  edition = {2nd},
  note = {ISBN 978-1498716963},
  url = {https://yihui.org/knitr/},
}
@InCollection{knitr2014,
  booktitle = {Implementing Reproducible Computational Research},
  editor = {Victoria Stodden and Friedrich Leisch and Roger D. Peng},
  title = {knitr: A Comprehensive Tool for Reproducible Research in {R}},
  author = {Yihui Xie},
  publisher = {Chapman and Hall/CRC},
  year = {2014},
  note = {ISBN 978-1466561595},
  url = {http://www.crcpress.com/product/isbn/9781466561595},
}
@Book{rmarkdown2018,
  title = {R Markdown: The Definitive Guide},
  author = {Yihui Xie and J.J. Allaire and Garrett Grolemund},
  publisher = {Chapman and Hall/CRC},
  address = {Boca Raton, Florida},
  year = {2018},
  note = {ISBN 9781138359338},
  url = {https://bookdown.org/yihui/rmarkdown},
}
@Misc{warbleR2017,
  title = {warbleR: an r package to streamline analysis of animal acoustic signals},
  author = {M. Araya-Salas and G. Smith-Vidaurre},
  year = {2017},
  journal = {Methods in Ecology and Evolution},
  url = {http://dx.doi.org/10.1111/2041-210X.12624},
}

repository: Athospd/mestrado

repo_name: Athospd/mestrado


text:
option(OGS_DOWNLOAD_CPM_CACHE "Download cpm cache into build directory" OFF)
if(NOT OGS_DOWNLOAD_CPM_CACHE)
    return()
endif()

file(READ ${PROJECT_SOURCE_DIR}/web/data/versions.json jsonFileString)
string(JSON _cpm_package_file_id GET "${jsonFileString}" cpm package_file_id)
string(JSON _cpm_package_file_hash GET "${jsonFileString}" cpm
       package_file_sha256
)
set(_cpm_cache_dir ${PROJECT_BINARY_DIR}/.cpm-${_cpm_package_file_id})
if(NOT EXISTS ${_cpm_cache_dir})
    message(STATUS "Downloading cpm cache with file id ${_cpm_package_file_id}")
    file(
        DOWNLOAD
        https://gitlab.opengeosys.org/ogs/ogs/-/package_files/${_cpm_package_file_id}/download
        cpm.tar.gz
        SHOW_PROGRESS
        EXPECTED_HASH SHA256=${_cpm_package_file_hash}
    )
    file(ARCHIVE_EXTRACT INPUT cpm.tar.gz)
    file(RENAME ${PROJECT_BINARY_DIR}/cpm ${_cpm_cache_dir})
endif()
set(ENV{CPM_SOURCE_CACHE} ${_cpm_cache_dir})

repository: ufz/ogs

repo_name: ufz/ogs


text:
@ARTICLE{Bell2014-wl,
title    = "Climate--water interactions---Challenges for improved
representation in integrated assessment models",
author   = "Bell, Andrew and Zhu, Tingju and Xie, Hua and Ringler, Claudia",
journal  = "Energy Economics",
volume   =  46,
pages    = "510--521",
month    =  nov,
year     =  2014,
url      = "http://www.sciencedirect.com/science/article/pii/S0140988313002995",
keywords = "Climate; Water",
issn     = "0140-9883",
doi      = "10.1016/j.eneco.2013.12.016"
}


text:
@ARTICLE{Velasquez-Giraldo20181109,
author={Velasquez-Giraldo, M. and Canavire-Bacarreza, G. and Huynh, K.P. and Jacho-Chavez, D.T.},
title={Flexible Estimation of Demand Systems: A Copula Approach},
journal={Journal of Applied Econometrics},
year={2018},
volume={33},
number={7},
pages={1109-1116},
doi={10.1002/jae.2651},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053269723&doi=10.1002%2fjae.2651&partnerID=40&md5=1c0dead7df13bb923ca325fbaeecb32f},
abstract={In this paper we study the own-price elasticity for gasoline in demand systems involving three expenditure categories in the transportation sector in Canada: gasoline, local transportation, and intercity transportation for Canadian households from 1997 to 2009. In particular, we conduct a replication of Chang and Serletis, (The demand for gasoline: Evidence from household survey data, Journal of Applied Econometrics, 2014, 29, 291–343) hereafter CS, who—using TSP version 5.1—estimated Deaton and Muellbauer, 's Almost Ideal Demand System (AIDS) (American Economic Review, 1980, 70, 312–326), Banks et al., 's Quadratic AIDS (Review of Economics and Statistics, 1997, 79, 527–539), and Barnett, 's Minflex Laurent (ML) (Journal of Business and Economic Statistics, 1983, 1, 7–23) models to demand systems consisting of these three goods, analyzing and enforcing theoretical economic regularity—that is, the compliance of estimates with positivity, monotonicity, and curvature. Using the R statistical language instead, we found that our estimates are similar to those of CS using data for single-member households and married couples without children, but differ for households with one child. (All replicated estimation tables in CS, as well as our full implementation, are available as supplementary material in the online version of this paper.) However, using a more flexible copula model, a total of 168 possible specifications for each type of household and their resulting gasoline own-price elasticities are also estimated. We find that allowing for skewness in the marginal distributions of local transportation budget shares greatly improves the Bayesian information criterion (BIC) of our models. © 2018 John Wiley & Sons, Ltd.},
document_type={Article},
source={Scopus},
}

repository: djachoc/academic-kickstart

repo_name: djachoc/academic-kickstart


text:
@article{Chalmers2016,
 abstract = {Background: Individuals with anxiety disorders display reduced resting-state heart rate variability (HRV), although findings have been contradictory and the role of specific symptoms has been less clear. It is possible that HRV reductions may transcend diagnostic categories, consistent with dimensional-trait models of psychopathology. Here we investigated whether anxiety disorders or symptoms of anxiety, stress, worry and depression are more strongly associated with resting-state HRV.

Methods: Resting-state HRV was calculated in participants with clinical anxiety (n = 25) and healthy controls (n = 58). Symptom severity measures of worry, anxiety, stress, and depression were also collected from participants, regardless of diagnosis.

Results: Participants who fulfilled DSM-IV criteria for an anxiety disorder displayed diminished HRV, a difference at trend level significance (p = .1, Hedges' g = -.37, BF10 = .84). High worriers (Total n = 41; n = 22 diagnosed with an anxiety disorder and n = 19 not meeting criteria for any psychopathology) displayed a robust reduction in resting state HRV relative to low worriers (p = .001, Hedges' g = -.75, BF10 = 28.16).

Conclusions: The specific symptom of worry - not the diagnosis of an anxiety disorder - was associated with the most robust reductions in HRV, indicating that HRV may provide a transdiagnostic biomarker of worry. These results enhance understanding of the relationship between the cardiac autonomic nervous system and anxiety psychopathology, providing support for dimensional-trait models consistent with the Research Domain Criteria framework.},
 author = {Chalmers, John A. and Heathers, James AJ and Abbott, Maree J. and Kemp, Andrew H. and Quintana, Daniel S.},
 copyright = {All rights reserved},
 doi = {10.1186/s40359-016-0138-z},
 issn = {2050-7283},
 journal = {BMC psychology},
 number = {1},
 pages = {32},
 title = {Worry is associated with robust reductions in heart rate variability: a transdiagnostic study of anxiety psychopathology},
 url = {https://doi.org/10.1186/s40359-016-0138-z},
 volume = {4},
 year = {2016}
}


text:
# https://github.com/lighttpd/lighttpd1.4.git

### IMPORT ###
dk_import(https://github.com/lighttpd/lighttpd1.4.git)

### LINK ###
dk_include			(${LIGHTTPD}/lib)
DEBUG_dk_include	(${LIGHTTPD}/${OS}/${DEBUG_DIR})
RELEASE_dk_include	(${LIGHTTPD}/${OS}/${RELEASE_DIR})
UNIX_dk_libDebug	(${LIGHTTPD}/${OS}/lib/${DEBUG_DIR}/liblighttpd.a)
UNIX_dk_libRelease	(${LIGHTTPD}/${OS}/lib/${RELEASE_DIR}/liblighttpd.a)
WIN_dk_libDebug		(${LIGHTTPD}/${OS}/lib/${DEBUG_DIR}/liblighttpd.lib)
WIN_dk_libRelease	(${LIGHTTPD}/${OS}/lib/${RELEASE_DIR}/liblighttpd.lib)

### GENERATE ###
dk_queueCommand(${DKCMAKE_BUILD} ${LIGHTTPD}) # -DLWS_WITH_SSL=OFF

### COMPILE ###
dk_build(${LIGHTTPD} LIGHTTPD)

repository: aquawicket/DigitalKnob

repo_name: aquawicket/DigitalKnob


text:
body {
  background-color: #f1f1f1;
}
.no-padding {
  padding: 0 !important;
}
.no-margin {
  margin: 0 !important;
}
.page-header {
  font-size: 25px;
  text-align: center;
  margin-top: 5px;
  margin-bottom: 20px;
}
.footer {
  color: #b4bcc2;
  text-align: center;
  width: 100%;
  font-size: 13px;
  line-height: 13px;
  margin-top: 25px;
}
.wrapper {
  padding-top: 15px;
  padding-bottom: 15px;
}
.wrapper > div {
  padding: 0;
}
.wrapper .panel,
.wrapper .panel-body {
  margin: 0;
}

repository: CorentinTh/pc-remote-control

repo_name: CorentinTh/pc-remote-control