text:
# This Isar layer is part of MTDA
# Copyright (C) 2017-2020 Mentor Graphics, a Siemens business

inherit dpkg

PV = "3.0"

SRC_URI = " \
    git://github.com/ikalchev/HAP-python.git;protocol=https;destsuffix=${PN}-${PV}/ \
    file://${PN}-${PV} \
"

SRCREV = "d3c576c4d6cc8af4516a99c30042bb01dbd0a100"

DEPENDS = "curve25519-donna ed25519 zeroconf"
do_build[deptask] += "do_deploy_deb"

repository: srinuvasan-mentor/mtda

repo_name: srinuvasan-mentor/mtda


text:
---
---
@InProceedings{auxmix,
    abbr={CVPR},
    bibtex_show={true},
    author    = {Banitalebi-Dehkordi, Amin and Gujjar, Pratik and Zhang, Yong},
    title     = {AuxMix: Semi-Supervised Learning With Unconstrained Unlabeled Data},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
    month     = {June},
    year      = {2022},
    pages     = {3999-4006},
    pdf={https://openaccess.thecvf.com/content/CVPR2022W/L3D-IVU/papers/Banitalebi-Dehkordi_AuxMix_Semi-Supervised_Learning_With_Unconstrained_Unlabeled_Data_CVPRW_2022_paper.pdf},
    abstract={Semi-supervised learning (SSL) has seen great strides when labeled data is scarce but unlabeled data is abundant. Critically, most recent work assume that such unlabeled data is drawn from the same distribution as the labeled data. In this work, we show that state-of-the-art SSL algorithms suffer a degradation in performance in the presence of unlabeled auxiliary data that does not necessarily possess the same class distribution as the labeled set. We term this problem as Auxiliary-SSL and propose AuxMix, an algorithm that leverages self-supervised learning tasks to learn generic features in order to mask auxiliary data that are not semantically similar to the labeled set. We also propose to regularize learning by maximizing the predicted entropy for dissimilar auxiliary samples. We show an improvement of 5% over existing baselines on a ResNet-50 model when trained on CIFAR10 dataset with 4k labeled samples and all unlabeled data is drawn from the Tiny-Imagenet dataset. We report competitive results on several datasets and conduct ablation studies.}
}

@INPROCEEDINGS{sfuthesispaper,
  abbr={ICRA},
  bibtex_show={true},
  author={Gujjar, Pratik and Vaughan, Richard},
  booktitle={2019 International Conference on Robotics and Automation (ICRA)},
  title={Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes},
  year={2019},
  volume={},
  number={},
  pages={2097-2103},
  doi={10.1109/ICRA.2019.8794278},
  pdf={https://autonomy.cs.sfu.ca/doc/gujjar_icra19.pdf},
  website={http://autonomy.cs.sfu.ca/deep_intent/},
  abstract={We explore prediction of urban pedestrian actions by generating a video future of the traffic scene, and show promising results in classifying pedestrian behaviour before it is observed. We compare several encoder-decoder network models that predict 16 frames (400-600 milliseconds of video) from the preceding 16 frames. Our main contribution is a method for learning a sequence of representations to iteratively transform features learnt from the input to the future. Then we use a binary action classifier network for determining a pedestrian’s crossing intent from predicted video. Our results show an average precision of 81%, significantly higher than previous methods. The model with the best classification performance runs for 117 ms on commodity GPU, giving an effective look- ahead of 416 ms.}
  }

@phdthesis{citekey,
  abbr={Thesis},
  bibtex_show={true},
  author={Gujjar, Pratik},
  title={Reasoning About Pedestrian Intent by
Future Video Prediction},
  school  = {Simon Fraser University},
  year={2018},
  type    = "",
  address = "",
  month   = {November},
  note    = "",
  annote  = "",
  website={https://summit.sfu.ca/item/18661},
  pdf={https://summit.sfu.ca/_flysystem/fedora/sfu_migrate/18661/etd19936.pdf},
  abstract={
Automated vehicles must react very quickly to pedestrians for safety. We explore analysis and prediction of pedestrian movements around urban roads by generating a video future of the traffic scene, and show promising results in classifying pedestrian behaviour before it is observed. Our first method consists of a decoding algorithm that is autoregressive of repre- sentations that an encoder learns from input video. We compare many neural network based encoder-decoder models to predict 16 frames (400-600 milliseconds) of video. We present the contributions of time-dilated causal convolutions and additive residual connections in our recurrent decoding algorithm. Furthermore, we show that these connections encourage representations at various decoding stages to be mutually different. Our main contribution is learning a sequence of representations to iteratively transform features learnt from the input to the future. Our second method presents a binary action classifier network for de- termining a pedestrian’s crossing intent from videos predicted by our first method. Our results show an average precision of 81%, significantly higher than previous methods. Our best model in terms of classification performance has a run time of 117 ms on a commodity GPU with an effective look-ahead of 416 ms.}
}

@misc{avaya_patent,
  abbr={Patent},
  title={Multi-Factor Wearable Device Authentication},
  author={Gujjar, Pratik and Hegde, Vignaraj},
  website={https://patents.google.com/patent/US20180317085A1/en},
  year={2018},
  month={November},
  publisher={Google Patents},
  note={US2018/0317085A1},
  pdf={https://patentimages.storage.googleapis.com/27/7a/53/d0f06259c52f85/US20180317085A1.pdf},
  abstract={Methods,systems and readable media for multi factor authentication and induction by acreditation for wearable device authentication in a network are described.}
}

license: MIT

license_type: permissive

branch_name: refs/heads/master

extension: bib


text:
@article{Lavesque:2014iv,
 author = {Lavesque, Nicolas and Bonifácio, Paulo and Meißner, Karin and Blanchet, Hugues and Gouillieux, Benoit and Dubois, Sophie and Bachelet, Guy},
 journal = {Marine Biodiversity},
 month = {May},
 title = {New records of Spio symphyta and Spio martinensis (\textquoteleftPolychaeta\textquoteright: Canalipalpata: Spionidae) from Arcachon Bay (France), NE Atlantic},
 year = {2014}
}

repository: boniph/academic-kickstart

repo_name: boniph/academic-kickstart


text:
@misc{articialYOLOtrainer,
  author = {Biparnak Roy},
  title = {Pseudo Label Generator For YOLO},
  year = {2020},
  howpublished = {\url{https://github.com/biparnakroy/pseudoLabelGeneratorForYOLO}}
}

repository: Hwijune/pseudoLabelGeneratorForYOLO

repo_name: Hwijune/pseudoLabelGeneratorForYOLO


text:
@ARTICLE{bpndnonsmooth2018,
  title={Basis Pursuit Denoise with Nonsmooth Constraints},
  author={Baraldi, Robert and Kumar, Rajiv, and Aravkin, Aleksandr },
  journal={IEEE Transactions on Signal Processing},
  year = {2019},
  volume={67},
  number={22},
  pages={5811-5823}
}
@ARTICLE{interpmatcomp2019,
  doi = {10.1088/1361-6420/ab3204},
  url = {https://doi.org/10.1088%2F1361-6420%2Fab3204},
  year = 2019,
  month = {sep},
  publisher = {{IOP} Publishing},
  volume = {35},
  number = {10},
  pages = {105009},
  author = {Robert Baraldi and Carl Ulberg and Rajiv Kumar and Kenneth Creager and Aleksandr Aravkin},
  title = {Relaxation algorithms for matrix completion, with applications to seismic travel-time data interpolation},
  journal = {Inverse Problems},
  abstract = {Travel time tomography is used to infer the underlying three-dimensional wavespeed structure of the Earth by fitting seismic travel time data collected at surface stations. Data interpolation and denoising techniques are important pre-processing steps that use prior knowledge about the data, including parsimony in the frequency and wavelet domains, low-rank structure of matricizations, and local smoothness.
We show how local smoothness structure can be combined with low rank constraints using level-set optimization formulations, and develop a new relaxation algorithm that can efficiently solve these joint problems. In the seismology setting, we use the approach to interpolate missing stations and de-noise observed stations. The new approach is competitive with alternative algorithms, and offers new functionality to interpolate observed data using both smoothness and low rank structure in the presence of data fitting constraints.}
}

@ARTICLE{paramest2016,
  title={Parameter Estimation Using Unidentified Individual Data in Individual Based Models},
  author={Banks, Harvey Thomas and Baraldi, Robert and  Catenacci, Jared and Myers, Nicholas},
  journal={Mathematical Modeling of Natural Phenomena},
  volume={11},
  number={6},
  pages={103-121},
  year={2016}
}
@ARTICLE{algeadynam2016,
  title={Validation of a Mathematical Model for Green Algae (Raphidocelis subcapitata) Growth and Implications for a Coupled Dynamical System with Daphnia Magna},
  author={Banks, Harvey Thomas and Baraldi, Robert and  Flores, Kevin and Stemkovski, Michael},
  journal={Applied Sciences},
  volume={6},
  number={5},
  pages={155},
  year={2016}
}

@ARTICLE{paramadmittance2015,
  title={Correlation of Parameter Estimators for Models Admitting Multiple Parametrizations},
  author={Adoteye, Kaska and Banks, Harvey Thomas and Baraldi, Robert and  Nardini, John and Thompson, W Clay},
  journal={International Journal of Pure and Applied Mathematics},
  volume={105},
  number={3},
  pages={497-522},
  year={2015}
}
@ARTICLE{opdesignminuncert2015,
  title={Optimal Design for Minimizing Uncertainty in Dynamic Equilibrium Systems},
  author={Banks, Harvey Thomas and Baraldi, Robert and Flores, Kevin},
  journal={Eurasian Journal of Mathematical and Computer Applications},
  volume={3},
  pages={20-43},
  year={2015}
}
@ARTICLE{uqhiv2015,
  title={Uncertainty quantification in modeling HIV viral mechanics.},
  author={Banks, Harvey Thomas and Baraldi, Robert and Cross, Karissa and McChesney, Christina and Poag, Laura and Thorpe, Emma and Flores, Kevin},
  journal={Mathematical Biosciences and Engineering},
  volume={12},
  number={5},
  pages={937-964},
  year={2015}
}

@conference {uqhivconf2014,
  title = {Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions},
  booktitle = {Proceedings of the 2014 American Control Conference},
  year = {2014},
  authors = {Banks, Harvey Thomas and Baraldi, Robert and Cross, Karissa and McChesney, Christina and Poag, Laura and Thorpe, Emma and Flores, Kevin},
  year = {2014},
  pages={2753-2758}
}
@techreport{paramtech2014,
  author = {Baraldi, Robert and Nardini, John and Thorpe, Emma and Banks, Harvey Thomas},
  title = {The Effects of Parameterization on Inverse Problems},
  institution = {NC State Center for Research in Scientific Computation},
  year = {2014},
  number = {CRSC-TR14-07},
  type = {Report},
  address={Raleigh, NC}
}
@techreport{hivtech2013,
  author = {Banks, Harvey Thomas and Baraldi, Robert and Cross, Karissa and McChesney, Christina and Poag, Laura and Thorpe, Emma and Flores, Kevin},
  title = {Mathematical Modeling of HCV Viral Kinetics},
  institution = {NC State Center for Research in Scientific Computation},
  year = {2013},
  number = {CRSC-TR13-07},
  type = {Report},
  address={Raleigh, NC}
}

@unpublished{pfizerdrugdevelop2016,
title= {Systems Modeling and Data Assimilation in Drug Development},
author = {Robert Baraldi},
year = {2016},
month={July},
day={11-15},
address={Boston, MA},
note= {SIAM Annual Life Sciences Conference},
}


text:
/* ///////////////////////////////////////////////////////

  DEFAULT STYLES ----------------------------------------

/////////////////////////////////////////////////////// */
body {
    font-family: 'Public Sans', sans-serif;
    font-weight: 400;
}

/* ////////////////////////////////////////////////////////

    NAVIGATION ELEMENTS -----------------------------------

///////////////////////////////////////////////////////// */

/* Main Navigation */
header {
    margin: 0em 0em 2em 0em;
    padding: 2em 2em 1em 2em;
    border-bottom: 1px solid rgb(221,218,213);
}

.nav-main a, .nav-mobile a, .nav-mobile-handle {
    /* letter spacing | https://www.w3schools.com/cssref/pr_text_letter-spacing.asp */
    letter-spacing: 0.05em;
    text-align: center;
    padding: 1em 1.5em;
    margin: auto 0.5em;
    color: rgb(0,0,0);
    border: 1px solid rgb(255,255,255);
    background-color: #FFFFFF;
    text-decoration: none;
    text-transform: uppercase;
}

.nav-main>a:hover, .nav-main>a:focus {
    color: rgb(173,133,13);
    border: 1px solid rgb(173,133,13);
    -webkit-transition: 0.2s ease-in;
    transition: 0.2s ease-in;
}

.nav-main>a:active {
    color: rgb(0,0,0);
    border: 1px solid rgb(0,0,0);
    background-color: rgb(241,234,208);
}

header .link-active {
    color: rgb(173,133,13);
}

/* ///----------------------------------------------------------------------------------///

                                            !!!

    MOBILE NAVIGATION STYLING ---------------------------- DO NOT TOUCH THE SECTION BELOW

                                            !!!

/////----------------------------------------------------------------------------------/// */

.nav-mobile {
    display: none;
    margin: 0;
    padding: 0;
}

/* collapsible styling | referenced from https://codeconvey.com/html-expand-collapse-text-without-javascript/ */
.nav-mobile>input[name="collapse"] {
    display: none;
}

.nav-mobile .nav-mobile-content {
    overflow: hidden;
    height: 0;
    transition: height 0.5s ease-in;
}

.nav-mobile h2 {
    display: block;
    font-size: 1em;
    font-weight: 400;
    padding: 1em;
    border: 1px solid rgb(0,0,0);
}

.nav-mobile label {
    display: block;
    letter-spacing: 0.05em;
    text-align: center;
}

.nav-mobile-content {
    letter-spacing: 0.05em;
    text-align: center;
    text-transform: uppercase;
    padding: 0;
}

.nav-mobile-content a {
    text-decoration: none;
    color: rgb(0,0,0);
    border: 1px solid rgb(0,0,0);
    padding: 1em;
    margin: 0.5em;
}

.nav-mobile-content a:first-of-type {
    margin-top: 0.5em;
}

.nav-mobile-content a:hover, .nav-mobile-content a:focus {
    color: rgb(173,133,13);
    border: 1px solid rgb(173,133,13);
    -webkit-transition: 0.2s ease-in;
    transition: 0.2s ease-in;

}

.nav-mobile-handle:hover, .nav-mobile-handle:focus {
    color: rgb(173,133,13);
    border: 1px solid rgb(173,133,13);
    -webkit-transition: 0.2s ease-in;
    transition: 0.2s ease-in;
}

.nav-mobile-content .link-active {
    color: rgb(173,133,13);
    border: 1px solid rgb(173,133,13);
}

.nav-mobile-content a:active {
    color: rgb(0,0,0);
    border: 1px solid rgb(0,0,0);
    background-color: rgb(241,234,208);
}

.nav-mobile .nav-mobile-handle label:before {
    content: "▾";
    display: inline-block;
    margin-right: 0.5em;
    line-height: 1.556em;
    transform: rotate(0deg);
    transform-origin: center;
    transition: transform 0.4s ease-in;
}

.nav-mobile>input[name="collapse"]:checked ~ .nav-mobile-handle label:before {
    transform: rotate(180deg);
    transform-origin: center;
    transition: transform 0.4s ease-out;
}

.nav-mobile>input[name="collapse"]:checked ~ .nav-mobile-content {
  height: 15.5em;
  transition: height 0.5s ease-out;
}

/* ///----------------------------------------------------------------------------------///

                                           !!!

    MOBILE NAVIGATION STYLING END ----------------------- DO NOT TOUCH THE SECTION ABOVE

                                           !!!

/////----------------------------------------------------------------------------------/// */

/* Footer Links */
footer {
    padding: 3em 1em 3em 1em;
    background: rgb(241,234,208);
    width: 100%;
}

.nav-footer a {
    text-align: center;
    font-size: 0.875em;
    margin: 1em;
    text-decoration: none;
    color: rgb(0,0,0);
    text-transform: uppercase;
}

.nav-footer a:hover, .nav-footer a:focus {
    text-decoration: underline;
    -webkit-transition: text-decoration 0.2s ease-in;
    transition: text-decoration 0.2s ease-in;
}

/* ///////////////////////////////////////////////////

  LINKS & BUTTONS -----------------------------------

/////////////////////////////////////////////////// */

/* Styling for in-text links */
.link-in-text {
    color: rgb(173,133,13);
    /* underline transition | https://markrabey.com/2015/05/17/css-transition-for-text-decoration/ */
    text-decoration: none;
    border-bottom: 1px solid rgba(173,133,13,0);
    -webkit-transition: border-color 0.2s ease-out;
    transition: border-color 0.2s ease-out;
}

.link-in-text:hover, .link-in-text:focus {
    border-bottom: 1px solid rgb(173,133,13);
}

/* Styling for Submit/Reset button */
.button-submit-reset {
    letter-spacing: 0.05em;
    text-align: center;
    text-transform: uppercase;
    text-decoration: none;
    display: block;
    padding: 0.75em 3em;
    color: rgb(0,0,0);
    background-color: rgb(241,234,208);
    /* offset border | https://webdevtrick.com/css-outline-styles/ */
    border: none;
    outline: 1px solid rgba(0,0,0,0);
    outline-offset: 5px;
    -webkit-transition: outline 0.2s ease-out;
    transition: outline 0.2s ease-out;
    float: right;
}

.button-submit-reset:hover, .button-submit-reset:focus {
    outline: 1px solid rgb(0,0,0);
    outline-offset: 5px;
}

/* Styling for Size Selection button */
.size {
    margin: 0 0 1em 0;
    background-color: rgb(255,255,255);
    border: 1px solid rgb(221,218,213);
    outline: none;
}

.size:hover {
    border: 1px solid rgb(0,0,0);
    outline: none;
}

.size:focus {
    background-color: rgb(241,234,208);
    border: 1px solid rgb(0,0,0);
    color: rgb(0,0,0);
    outline: none;
}

/* /////////////////////////////////////////////////////

  TEXT FORMS -------------------------------------------

///////////////////////////////////////////////////// */

form {
    padding: 1em 0;
}

form>label {
    text-transform: uppercase;
    letter-spacing: 0.04em;
    font-size: 0.875em;
    font-weight: 400;
}

.input-field {
    margin: 0.75em 0 0.875em 0;
    display: block;
    padding: 0.875em;
    font-size: 0.875em;
    font-weight: 300;
    width: 100%;

    letter-spacing: 0.02em;
    border: 1px solid rgb(221,218,213);
}

.input-field:focus {
    border: none;
    outline: 1px solid rgb(0,0,0);
}

.input-field:last-of-type, textarea:last-of-type {
    margin-bottom: 2em;
}

.input-field.contact {
    margin-bottom: 0.875em;
}

textarea {
    resize: vertical;
    margin-top: 0.75em;
    width: 100%;
    border: 1px solid rgb(221,218,213);
}

textarea:focus {
    border: none;
    outline: 1px solid rgb(0,0,0);
}

/* //////////////////////////////////////////////////////

  BODY TEXT STYLING -------------------------------------

////////////////////////////////////////////////////// */

h1, h3, .reviews label {
    font-family: Gelasio, serif;
    text-transform: uppercase;
}

h1 {
    font-size: 2em;
    font-weight: 400;
    color: rgb(173,133,13);
    text-align: center;
    letter-spacing: 0.05em;
}

.logo {
    font-size: 1.5em;
    letter-spacing: 0em;
    padding: 0.875em 1em;
    outline: 1px solid rgb(0,0,0);
}

.heading-left {
    color: rgb(173,133,13);
    font-size: 1.5em;
    text-align: left;
}

h1 a {
    color: rgb(173,133,13);
    text-decoration: none;
}

h2, .carousel-text {
    text-transform: uppercase;
    letter-spacing: 0.04em;
    font-size: 0.875em;
    font-weight: 500;
}

h3, .reviews label {
    font-size: 0.75em;
    font-weight: 600;
    letter-spacing: 0.08em;
}

p {
    font-weight: 300;
    font-size: 0.8em;
    letter-spacing: 0.02em;
    line-height: 1.5em;
}

.page-heading>p {
    font-weight: 200;
    text-align: center;
    margin: auto;
}

ul,
ol {
    font-size: 0.8em;
    letter-spacing: 0.02em;
    padding: 1rem;
}

/* div for product heading combination */
.page-heading {
    text-align: center;
    margin-bottom: 4em;
}

/* /////////////////////////////////////////////////////////

  BODY CONTAINERS ------------------------------------------

////////////////////////////////////////////////////////// */

div {
    padding: 0 2em 0 2em;
}

section {
    margin-top: 0;
}

.content {
    padding: 1em 0 0 0;
}

/* Grid Containers */
.box-3col-item a {
    text-decoration: none;
    color: rgb(0,0,0);
}

.box-3col-item {
    padding: 1em;
    margin: 0 2em 1.5em 2em;
    border: 1px solid rgba(0,0,0,0);
    -webkit-transition: outline 0.2s ease-out;
    transition: outline 0.2s ease-out;
}

.box-3col-item:hover, .box-3col-item:focus {
    border: 1px solid rgb(0,0,0);
    outline-offset: 1px;
}

.box-3col-item-info, .box-2col-item-info {
    padding: 0;
}

.box-3col-item img {
    /* centering images | https://www.w3schools.com/howto/howto_css_image_center.asp */
    display: block;
    margin-left: auto;
    margin-right: auto;
}

.box-2col-item img {
    /* centering images | https://www.w3schools.com/howto/howto_css_image_center.asp */
    display: block;
    margin-left: auto;
    margin-right: auto;
}

.box-2col-img {
    padding: 0;
}

.box-2col-item>section{
    padding: 0;
    margin: 0 2em 1.5em 2em;
}

.box-2col-info {
    padding: 1em 1em 2em 1em;
}

.flexbox-quantity {
    padding: 0;
}

.box-1col-item {
    margin: 0 2em 1.5em 2em;
}

.box-1col-item>.accordion:last-of-type {
    margin-bottom: 3em;
}

/*
    COMPONENT STYLING
*/

/* Product Card Details */
.item-label {
    text-align: center;
}

.item-info, .item-status {
    font-family: 'Public Sans', sans-serif;
    font-weight: 300;
}

.sale {
    color: rgb(202,24,24);
}

.item-status {
    font-style: oblique;
    color: rgb(202,24,24);
}

/* ///////////////////////////////////////////////////////

    PAGE-SPECIFIC STYLING --------------------------------

/////////////////////////////////////////////////////// */

/* HOME PAGE */
.banner {
    padding: 0;
    position: relative;
    margin-bottom: 4em;
}

.banner-img {
    width: 100%;
}

.banner-img-square {
    display: none;
}

.banner>div {
    background-color: rgb(241,234,208);
    position: absolute;
    height: 60%;
    width: 80%;
    top: 50%;
    left: 50%;
    margin-top: -11%;
    margin-left: -40%;
    text-align: center;
}

.banner a {
    color: rgb(0,0,0);
    background-color: rgb(255,255,255);
    text-transform: uppercase;
    text-decoration: none;
    padding: 1.5em 2em;
    outline: 1px solid rgba(0,0,0,0);
    outline-offset: 5px;
    -webkit-transition: outline 0.2s ease-out;
    transition: outline 0.2s ease-out;
}

.banner a:hover, .banner a:focus {
    outline: 1px solid rgb(0,0,0);
    -webkit-transition: outline 0.2s ease-in;
    transition: outline 0.2s ease-in;
}

/* ABOUT PAGE */
.about {
    width: 100%;
}

#about-info {
    padding: 0 3em;
}

/* PRODUCT PAGE */
.item-img {
    height: auto;
    max-width: 100%;
    padding: 1.25em 1em;
}

/* collapsible | referenced from https://codeconvey.com/html-expand-collapse-text-without-javascript/ */

.accordion>input[name="collapse"] {
    display: none;
}

.accordion label {
    margin-top: 2.5em;
}

.accordion .accordion-content {
    overflow: hidden;
    height: 0;
    transition: height 0.5s ease-in;
}

.accordion label {
    display: block;
}

.accordion-content {
    padding: 0;
    border-top: 1px solid rgb(0,0,0);
}

.accordion label:hover, .accordion label:focus {
    color: rgb(173,133,13);
}

.accordion .handle label:before {
    content: "▾";
    display: inline-block;
    margin-right: 0.5em;
    line-height: 1.556em;
    vertical-align: middle;
    transform: rotate(0deg);
    transform-origin: center;
    transition: transform 0.4s ease-in;
}

.accordion>input[name="collapse"]:checked ~ .handle label:before {
    transform: rotate(180deg);
    transform-origin: center;
    transition: transform 0.4s ease-out;
}

.accordion>input[name="collapse"]:checked ~ .accordion-content {
  height: auto;
  transition: height 0.5s ease-out;
}

.reviews {
    padding: 0 3em 0 3em;
}

.reviews>section {
    border-top: 1px solid rgb(0,0,0);
}

.write-review {
    margin-bottom: 4em;
}

/* CART PAGE */
#cart>#cart{
    border-bottom: 1px solid rgb(0,0,0);
    margin: 0 0 3em 0;
}

#cart-heading {
    border-bottom: 1px solid rgb(0,0,0);
}

.cart-total {
    font-size: 1em;
    float: right;
    margin: 0 2em 2em 0;
}

.flexbox-3col>.hidden {
    display: none;
}

/* CHECKOUT PROCESS */
.checkout-breadcrumbs p {
    font-weight: 500;
}
.checkout-breadcrumbs a {
    font-weight: 300;
    color: rgb(173,133,13);
    text-decoration: none;
    border-bottom: 1px solid rgba(0,0,0,0);
}

.checkout-breadcrumbs a:hover, .checkout-breadcrumbs a:focus {
    border-bottom: 1px solid rgb(173,133,13);
    transition: 0.2s ease-in-out;
}

/* ORDER TRACKER + TRACKING PROGRESS */

#tracker-title {
    text-align: center;
    display: block;
}

/* order progress bar | referenced from http://kodhus.com/newsite/step-progress-bar-css-only/ */

.order-progress {
       width: 100%;
      margin: 2em auto;
  }

  .progressbar {
      counter-reset: step;
  }

  .progressbar li {
      list-style-type: none;
      width: 25%;
      float: left;
      font-size: 1em;
      position: relative;
      text-align: center;
      text-transform: uppercase;
      color: #7d7d7d;
  }

  .progressbar li:before {
      width: 30px;
      height: 30px;
      content: counter(step);
      counter-increment: step;
      line-height: 2em;
      border: 2px solid #7d7d7d;
      display: block;
      text-align: center;
      margin: 0 auto 10px auto;
      border-radius: 50%;
      background-color: white;
  }

  .progressbar li:after {
      width: 100%;
      height: 2px;
      content: '';
      position: absolute;
      background-color: #7d7d7d;
      top: 15px;
      left: -50%;
      z-index: -1;
  }

  .progressbar li:first-child:after {
      content: none;
  }

  .progressbar li.active {
      color: rgb(173,133,13);
  }

  .progressbar li.active:before {
      border-color: rgb(173,133,13);
  }

  .progressbar li.active + li:after {
      background-color: rgb(173,133,13);
  }

extension: css


text:
inherit noto-fonts
inherit noto-styles

SRC_URI = "${NOTO_SRC_URI_PREFIX}/NotoSansDisplay-hinted.zip"
SRC_URI[sha256sum] = "1e1759a5698e44ea4d3ae869f595bd9051b193b4ea2582f3ad4d217baeae3f0c"

repository: ssfivy/meta-noto

repo_name: ssfivy/meta-noto

gha_license_id: MIT

gha_language: BitBake

extension: bb


text:
body{

    background-color: #F0EDE4!important;

}

#map{
    height: 250px;
    width: 50%;
}

td img{
    width: 75px;

    margin-left: 24px;
}

span{
    font-size: 18px;
    color: black;
}

th{
    text-align: center!important;
}

td {
    vertical-align: middle!important;
    text-align: center;
}

.dataTables_length, .dataTables_info{
    display: none;
}

form{
    padding-left: 0%;

}

.clear-filter{
    margin-left: 77%;
    margin-top: -67px;
}

.customer-details{
    padding-left: 7%;
    padding-right: 7%;
    padding-top: 2%;
    padding-bottom: 2%;
    border: 1px solid rgba(0,0,0,0.3);
    box-shadow: inset 0 0 4px rgba(0,0,0,.5);
    background-color: #F0EDE4;
}
.table-bordered, .table-bordered td, .table-bordered th{
    border-color: #8C1842!important;
}
td, th, h1, label, p, h2{
    font-weight: 500;
    color: #8C1842;
}

.pictures-profile-details{
    margin-left: 20px;
}

.details-title{
    text-align: center;
}

.customer-title{
    margin-top: -50px;
}

@media (min-width: 320px) and (max-width: 700px){
    .smarts-logo img{
        width: 40%;
    }
    h1,h2{
        font-size: 20px!important;
    }

    .clear-filter{
        margin-left: 64%;
    }

    .pictures-profile-details{
     width: 130px;
     margin-left: 0;
    }
    table{
        width: 100%!important;
    }

    .table td, .table th{
        font-size: 10px;
    }
    body{
        padding-bottom: 1%;
    }
    .customer-title{
        width: 200%;
        margin-top: -25px;
        margin-bottom: 25px;
    }
    .smarts-logo-details img{
        width: 100%;
    }

    .details-title{
        text-align: left;
    }

    p{
        font-size: 12px;;
    }
    span{
        font-size: 14px;
    }
}
@media (min-width: 760px) and (max-width: 1000px){
    .customer-title{
        width: 120%;
        margin-top: -30px;
        margin-bottom: 30px;

    }
    h1{
        font-size: 30px!important;
    }
    .smarts-logo img{
        width: 20%;
    }
    .clear-filter{
        margin-left: 33%;
        margin-top: -65px;

    }
    body{
        padding-bottom: 1%;
    }

    .smarts-logo-details img{
        width: 100%;
    }
}

repository: danielfliguel/smarts-challenge-php

repo_name: danielfliguel/smarts-challenge-php


text:
/*
   ANIMATION PLAY STATE
*/

  .a-running    { animation-play-state: running; }
  .a-paused     { animation-play-state: paused; }

@media screen and (min-width: 48em) {
  .a-running-ns { animation-play-state: running; }
  .a-paused-ns  { animation-play-state: paused; }
}

@media screen and (min-width:48em) and (max-width: 64em) {
  .a-running-m { animation-play-state: running; }
  .a-paused-m  { animation-play-state: paused; }
}

@media screen and (min-width: 64em) {
  .a-running-l { animation-play-state: running; }
  .a-paused-l  { animation-play-state: paused; }
}

license: ISC

repository: mrmrs/css-animation-play-state

repo_name: mrmrs/css-animation-play-state


text:
@InProceedings{sharma2018conceptual,
  author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu},
  title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2018},
  publisher = {Association for Computational Linguistics},
  pages = {2556--2565},
  location = {Melbourne, Australia},
  url = {http://aclweb.org/anthology/P18-1238}
}

url: https://raw.githubusercontent.com/Hugh-Shi/DL-NLP-Readings/924e4d189e5660c5b5d4854278f3df755ae2231d/Bibtex/Conceptual Captions - A Cleaned Hypernymed Image Alt-text Dataset For Automatic Image Captioning.bib

repository: Hugh-Shi/DL-NLP-Readings

repo_name: Hugh-Shi/DL-NLP-Readings


text:
@inbook{2003SPIE.4834..238D,
 abstract = {Studies of the cosmic gamma-ray bursts (GRBs) and their host galaxies
are now starting to provide interesting or even unique new
insights in observational cosmology. Observed GRB host galaxies
have a median magnitude Råisebox-0.5ex~25 mag,
and show a range of luminosities, morphologies, and star
formation rates, with a median redshift
z\i̊sebox-0.5ex~1. They represent a new way of
identifying a population of star-forming galaxies at
cosmological redshifts, which is mostly independent of the
traditional selection methods. They seem to be broadly similar
to the normal field galaxy populations at comparable redshifts
and magnitudes, and indicate at most a mild luminosity evolution
over the redshift range they probe. Studies of GRB optical
afterglows seen in absorption provide a powerful new probe of
the ISM in dense, central regions of their host galaxies, which
is complementary to the traditional studies using QSO absorption
line systems. Some GRB hosts are heavily obscured, and provide a
new way to select a population of cosmological sub-mm sources. A
census of detected optical tranistents may provide an important
new way to constrain the total obscured fraction of star
formation over the history of the universe. Finally, detection
of GRB afterglows at high redshifts (z>6) may provide a
unique way to probe the primordial star formation, massive IMF,
early IGM, and chemical enrichment at the end of the cosmic
reionization era. <P />},
 adsnote = {Provided by the SAO/NASA Astrophysics Data System},
 adsurl = {https://ui.adsabs.harvard.edu/abs/2003SPIE.4834..238D},
 author = {Djorgovski, Stan G. and Kulkarni, Shrinivas R. and Frail, Dale A. and
Harrison, Fiona A. and Bloom, Joshua S. and Berger, Edo and
Price, P.~A. and Fox, D. and Soderberg, A.~M. and
Galama, Titus J. and Reichart, D.~E. and Sari, Re'em and
Yost, S.~A. and Mahabal, Ashish and Castro, S.~M. and
Goodrich, Robert and Chaffee, Frederic H.},
 booktitle = {Discoveries and Research Prospects from 6- to 10-Meter-Class Telescopes II.  Edited by Guhathakurta, Puragra.  Proceedings of the SPIE, Volume 4834, pp. 238-247 (2003).},
 doi = {10.1117/12.457700},
 editor = {Guhathakurta, Puragra},
 keywords = {Astrophysics},
 pages = {238-247},
 series = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
 title = {The cosmic gamma-ray bursts and their host galaxies in a cosmological context},
 volume = {4834},
 year = {2003}
}

repository: profjsb/my-content

repo_name: profjsb/my-content

gha_language: TeX


text:
body {
  margin:0px;
  background-image:none;
  position:static;
  left:auto;
  width:1024px;
  margin-left:0;
  margin-right:0;
  text-align:left;
}
#base {
  position:absolute;
  z-index:0;
}
#u209_img {
  position:absolute;
  left:0px;
  top:0px;
  width:1024px;
  height:1040px;
}
#u209 {
  position:absolute;
  left:0px;
  top:0px;
  width:1024px;
  height:1040px;
}
#u210 {
  position:absolute;
  left:2px;
  top:512px;
  width:1020px;
  visibility:hidden;
  word-wrap:break-word;
}
#u211 {
  position:absolute;
  left:30px;
  top:134px;
  width:142px;
  height:36px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u212 {
  position:absolute;
  left:30px;
  top:180px;
  width:142px;
  height:36px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u213 {
  position:absolute;
  left:30px;
  top:225px;
  width:142px;
  height:34px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u214 {
  position:absolute;
  left:194px;
  top:174px;
  width:98px;
  height:42px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u215 {
  position:absolute;
  left:296px;
  top:177px;
  width:98px;
  height:39px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u216 {
  position:absolute;
  left:399px;
  top:177px;
  width:139px;
  height:39px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u217 {
  position:absolute;
  left:118px;
  top:70px;
  width:61px;
  height:22px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u218 {
  position:absolute;
  left:201px;
  top:70px;
  width:62px;
  height:22px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}
#u219 {
  position:absolute;
  left:281px;
  top:70px;
  width:75px;
  height:22px;
  overflow:hidden;
  background-image:url('../../resources/images/transparent.gif');
}

repository: Lemaitrehan/its

repo_name: Lemaitrehan/its


text:
@inproceedings {type-your-key-here,
  author = "Gustavo Santos and Paulo Borba",
  booktitle = "X Simpósio Brasileiro de Linguagens de Programação (SBLP 2006)",
  title = "Contextos de Primeira Classe em Transformações de Programas",
  year = "2006",
  pages = "77-90"
}

repository: pauloborba/academic-kickstart

repo_name: pauloborba/academic-kickstart


text:
% Encoding: UTF-8

@InProceedings{conf/acl/IyyerMBD15,
  author    = {Iyyer, Mohit and Manjunatha, Varun and Boyd-Graber, Jordan L. and III, Hal Daumé},
  title     = {Deep Unordered Composition Rivals Syntactic Methods for Text Classification.},
  booktitle = {ACL (1)},
  year      = {2015},
  pages     = {1681-1691},
  publisher = {The Association for Computer Linguistics},
  added-at  = {2015-08-02T00:00:00.000+0200},
  biburl    = {https://www.bibsonomy.org/bibtex/28b0cab3025fce65c895665998b1091e5/dblp},
  crossref  = {conf/acl/2015-1},
  ee        = {http://aclweb.org/anthology/P/P15/P15-1162.pdf},
  interhash = {29853a04479b960deec99ff5af354a0e},
  intrahash = {8b0cab3025fce65c895665998b1091e5},
  isbn      = {978-1-941643-72-3},
  keywords  = {dblp},
  timestamp = {2015-08-04T11:41:15.000+0200},
  url       = {http://dblp.uni-trier.de/db/conf/acl/acl2015-1.html#IyyerMBD15},
}

@InProceedings{Sheikh2016LearningWI,
  author = {Imran Sheikh and Irina Illina and Dominique Fohr and Georges Linar{\`e}s},
  title  = {Learning Word Importance with the Neural Bag-of-Words Model},
  year   = {2016},
}

@Article{DBLP:journals/corr/DaiOL15,
  author    = {Andrew M. Dai and Christopher Olah and Quoc V. Le},
  title     = {Document Embedding with Paragraph Vectors},
  journal   = {CoRR},
  year      = {2015},
  volume    = {abs/1507.07998},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/DaiOL15},
  timestamp = {Wed, 07 Jun 2017 14:42:05 +0200},
  url       = {http://arxiv.org/abs/1507.07998},
}

@InProceedings{ye_etal_2016,
  author    = {X. Ye and H. Shen and X. Ma and R. Bunescu and C. Liu},
  title     = {From Word Embeddings to Document Similarities for Improved Information Retrieval in Software Engineering},
  booktitle = {2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)},
  year      = {2016},
  pages     = {404-415},
  month     = {May},
  abstract  = {The application of information retrieval techniques to search tasks in software engineering is made difficult by the lexical gap between search queries, usually expressed in natural language (e.g. English), and retrieved documents, usually expressed in code (e.g. programming languages). This is often the case in bug and feature location, community question answering, or more generally the communication between technical personnel and non-technical stake holders in a software project. In this paper, we propose bridging the lexical gap by projecting natural language statements and code snippets as meaning vectors in a shared representation space. In the proposed architecture, word embeddings are rst trained on API documents, tutorials, and reference documents, and then aggregated in order to estimate semantic similarities between documents. Empirical evaluations show that the learned vector space embeddings lead to improvements in a previously explored bug localization task and a newly de ned task of linking API documents to computer programming questions.},
  doi       = {10.1145/2884781.2884862},
  keywords  = {application program interfaces;document handling;information retrieval;natural language processing;software engineering;system documentation;API documents;bug localization task;code snippets;document similarities;information retrieval techniques;natural language statements;reference documents;software engineering;tutorials;vector space embeddings;word embeddings;Computer bugs;Context;Mathematical model;Natural languages;Semantics;Software;Vocabulary;API documents;bug localization;bug reports;skip-gram model;word embeddings},
}

@Article{yang_etal_2017,
  author   = {L. Yang and X. Chen and Z. Liu and M. Sun},
  title    = {Improving Word Representations with Document Labels},
  journal  = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year     = {2017},
  volume   = {25},
  number   = {4},
  pages    = {863-870},
  month    = {April},
  issn     = {2329-9290},
  abstract = {Word representations, aiming to build vectors for each word, have been successfully used in a variety of applications. Most word representations are learned from large amounts of documents ignoring other information. This is rather suboptimal because the side information of the documents, such as document labels, is not used in learning word representations. In this paper, we focus on how to exploit these side information to improve word representations. We propose to incorporate document labels into the learning process of word representations in two frameworks: neural network and matrix factorization. The experimental results on word analogy and word similarity task show that our models can better capture the semantic and syntactic information than the original models. Our models also improve the performance of word representations on text classification task.},
  doi      = {10.1109/TASLP.2017.2658019},
  keywords = {matrix decomposition;neural nets;word processing;document labels;learning process;matrix factorization;neural network;semantic information;side information;syntactic information;text classification task;word analogy;word representations;Context;Mathematical model;Matrix decomposition;Neural networks;Predictive models;Semantics;Training;Matrix factorization;skip-gram;word representations, rank2},
}

@Comment{jabref-meta: databaseType:bibtex;}

repository: queirozfcom/auto-tagger

repo_name: queirozfcom/auto-tagger


text:
#menu {
  width: 100%;
  height: 70px;
  background-color: #39db64;
  margin-top: 0px;
  text-decoration: none; }

#menu ul {
  width: auto;
  float: right;
  margin-top: 0px; }

#menu li {
  display: inline-block;
  padding: 15px 30px; }

#menu a {
  text-align: right;
  font-family: 'Amatic SC', cursive;
  color: black;
  font-size: 25px;
  text-decoration: none;
  transition: height 2s;
  width: 2s; }

#menu a:hover {
  font-size: 30px; }

/*Grilla */
.grid-container {
  display: grid;
  margin: 40px 0 40px 0;
  grid-template-columns: repeat(4, 25%);
  grid-template-rows: repeat(3, 200px);
  gap: 1px 1px;
  text-align: center;
  justify-content: stretch;
  font-size: 1.5rem;
  grid-template-areas: "bannerUno bannerUno bannerUno bannerUno"
 "noticiaDos noticiaDos noticiaTres noticiaCuatro"
 "noticiaCinco noticiaSeis noticiaSiete noticiaCuatro"; }

.bannerUno {
  grid-area: bannerUno;
  background-color: #EFF4F7; }

.noticiaTres {
  grid-area: noticiaTres;
  background-color: #73CAEF; }

.noticiaDos {
  grid-area: noticiaDos;
  background-color: #89FFFB; }

.noticiaCuatro {
  grid-area: noticiaCuatro;
  background-color: #41E2DD; }

.noticiaCinco {
  grid-area: noticiaCinco;
  background-color: #50D8C8; }

.noticiaSeis {
  grid-area: noticiaSeis;
  background-color: #53B4F4; }

.noticiaSiete {
  grid-area: noticiaSiete;
  background-color: #CDE0E4; }

/* Footer */
footer {
  background-color: #e1eef7;
  width: 100%;
  height: 100px;
  padding: 50px 0 0 0; }

footer h5 {
  font-size: 2rem;
  font-weight: 900;
  text-align: center; }

repository: AzulBiggeri/refugiofinalfeliz

repo_name: AzulBiggeri/refugiofinalfeliz


text:
@InProceedings{Han13,
  pdf = {http://jmlr.org/proceedings/papers/v30/Han13.pdf},
  title = {Competing With Strategies},
  author = {Wei Han and Alexander Rakhlin and Karthik Sridharan},
  pages = {966-992},
  abstract = {We study the problem of online learning with a notion of regret defined with respect to a set of strategies. We develop tools for analyzing the minimax rates and for deriving regret-minimization algorithms in this scenario. While the standard methods for minimizing the usual notion of regret fail, through our analysis we demonstrate existence of regret-minimization methods that compete with such sets of strategies as: autoregressive algorithms, strategies based on statistical models, regularized least squares, and follow the regularized leader strategies. In several cases we also derive efficient learning algorithms. },
}

repository: mreid/papersite

repo_name: mreid/papersite


text:
@inproceedings{chen-2018,
    author = {Chen, Ruining and Sun, Guoao},
    title = {A Survey of Kernel-Bypass Techniques in Network Stack},
    year = {2018},
    isbn = {9781450366069},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3297156.3297242},
    doi = {10.1145/3297156.3297242},
    abstract = {With the rapid development of network interface controller (NIC), network stack has become the determinant of web service performance. Traditionally, network stack is implemented in the kernel. However, kernel network stack has its inefficiencies and there is a basic mismatch between fast hardware and slow software. Bypassing the kernel and implementing the network stack in user-space have become a hot topic in both academic and industry research areas. In this paper, we study the existing kernel-bypass techniques and provides a comprehensive survey of user-space network stack. Our primary attention is to propose a research overview of the state-of-the-art user-space network stack design and provide critical guidance on the design of next-generation network stack.},
    booktitle = {Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence},
    pages = {474–477},
    numpages = {4},
    keywords = {Operating System, Network Stack, Network},
    location = {Shenzhen, China},
    series = {CSAI '18}
}

@INPROCEEDINGS{Herrmann-2009,
  author={F. L. {Herrmann} and G. {Perin} and J. P. J. {de Freitas} and R. {Bertagnolli} and J. B. {dos Santos Martins}},
  booktitle={2009 16th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2009)},
  title={A Gigabit UDP/IP network stack in FPGA},
  year={2009},
  volume={},
  number={},
  pages={836-839},
}

@misc{mellanox, title={Defining SmartNIC: What is a SmartNIC and How to Choose the Best One}, url={https://blog.mellanox.com/2018/08/defining-smartnic/}, journal={Mellanox Technologies Blog}, year={2020}, month={May}}

@ARTICLE{4068926,
  author={I. {Kuon} and J. {Rose}},
  journal={IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems},
  title={Measuring the Gap Between FPGAs and ASICs},
  year={2007},
  volume={26},
  number={2},
  pages={203-215},}

repository: TheMagicNacho/fpga-dns-adtm

repo_name: TheMagicNacho/fpga-dns-adtm


text:
@online{Syllabus,
  language = {bulgarian},
  title = {Конспект за ДИ за спец. статистика},
  url = {https://intranet.fmi.uni-sofia.bg/index.php/s/KOTdUnmqbrnd0sX},
  urldate = {2019-03-24},
  year = {2018}
}

@book{Боровков1999Вероятности,
  author = {Александр Александрович Боровков},
  edition = {3},
  isbn = {5901006666},
  language = {russian},
  publisher = {Едиториал УРСС},
  title = {Теория вероятностей},
  year = {1999}
}

@book{ДимитровЯнев2007,
  author = {Боян Димитров and Николай Янев},
  edition = {2},
  language = {bulgarian},
  publisher = {Софтех},
  title = {Вероятности и статистика},
  year = {2007}
}

@online{SESummer2014,
  language = {bulgarian},
  subtitle = {Поправителен изпит},
  title = {Задачи за ДИ за спец. статистика},
  url = {https://intranet.fmi.uni-sofia.bg/index.php/s/v5CMDRQNOMXjYOO},
  urldate = {2019-06-20},
  year = {2014}
}

@online{SESummer2016,
  language = {bulgarian},
  subtitle = {Поправителен изпит},
  title = {Задачи за ДИ за спец. статистика},
  url = {https://intranet.fmi.uni-sofia.bg/index.php/s/ictJ7xGqzZvgX40},
  urldate = {2019-06-20},
  year = {2016}
}

gha_license_id: NOASSERTION


text:
@misc{LayeredLayouts.jl,
	author  = {Lyndon White <lyndon.white@invenialabs.co.uk> and contributors},
	title   = {LayeredLayouts.jl},
	url     = {https://github.com/oxinabox/LayeredLayouts.jl},
	version = {v0.1.0},
	year    = {2020},
	month   = {6}
}

branch_name: refs/heads/main


text:
@inproceedings{10.1007/978-3-030-88701-8_28,
 abstract = {Semantics for nondeterministic probabilistic sequential programs has been well studied in the past decades. In a variety of semantic models, how nondeterministic choice interacts with probabilistic choice is the most significant difference. In He, Morgan, and McIver's relational model, probabilistic choice refines nondeterministic choice. This model is general because of its predicative-style semantics in Hoare and He's Unifying Theories of Programming, and suitable for automated reasoning because of its algebraic feature. Previously, we gave probabilistic semantics to the RoboChart notation based on this model, and also formalised the proof that the semantic embedding is a homomorphism, and revealed interesting details. In this paper, we present our mechanisation of the proof in Isabelle/UTP enabling automated reasoning for probabilistic sequential programs including a subset of the RoboChart language. With mechanisation, we even reveal more interesting questions, hidden in the original model. We demonstrate several examples, including an example to illustrate the interaction between nondeterministic choice and probabilistic choice, and a RoboChart model for randomisation based on binary probabilistic choice.},
 address = {Cham},
 author = {Ye, Kangfeng
and Foster, Simon
and Woodcock, Jim},
 booktitle = {Relational and Algebraic Methods in Computer Science},
 editor = {Fahrenberg, Uli
and Gehrke, Mai
and Santocanale, Luigi
and Winter, Michael},
 isbn = {978-3-030-88701-8},
 pages = {465--482},
 publisher = {Springer International Publishing},
 title = {Automated Reasoning for Probabilistic Sequential Programs with Theorem Proving},
 year = {2021}
}

repository: RandallYe/academic-kickstart

repo_name: RandallYe/academic-kickstart


text:
@Article{mavrodiev2018moving,
  title = {Moving from modern toward post-modern science: comment on “An integrated assessment of the vascular plants of the Americas”},
  author = {EVGENY V. MAVRODIEV and MIAO SUN and LAURA SCHRODER and DAVID W. STEADMAN and MALTE C. EBACH},
  journal = {Phytotaxa},
  volume = {351},
  number = {1},
  pages = {096--098},
  year = {2018},
  publisher = {Magnolia Press},
}

repository: Cactusolo/CactusOasis

repo_name: Cactusolo/CactusOasis


text:
ol {
    list-style: decimal;
    font-size: 1.2rem;
    margin-left: 32px;
}

ol > li {
    margin-bottom: 8px;
}

repository: alex-sir/pomotimer

repo_name: alex-sir/pomotimer

gha_language: JavaScript


text:
* {
  box-sizing: border-box;
}

a {
  text-decoration: none;
}

.row {
  display: flex;
}

li.row {
  color: red
}

#id {
  font-family: 'Segoe UI', Tahoma, Geneva, Verdana;
}

sibling + sibling {

}

sibling ~ sibling {

}

ancestor descendant {
 header li
}

ancestor > direct-descendant {
  header li
}

selector:pseudo-class { /* active, hover, link, visited, blur, focus */

}

selector:pseudo-class { /* first-child, last-child, nth-child */

}

html {
  font-size: 16;
}

body {
  font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
}

gha_language: C#


text:
DESCRIPTION = "This is a device-side implementation of the PTP (Picture Transfer Protocol)"
LICENSE = "GPLv3"

DEPENDS = "virtual/kernel"
RDEPENDS_${PN} = "imagemagick"

PV = "1.1"
PR = "r2"
PR_append = "+gitr${SRCREV}"

SRCREV = "ef7ef29b5cdcf8630c901362a66905b956242e0d"
SRC_URI = "git://git.denx.de/ptp-gadget.git;protocol=git \
           file://0001-Fix-musb_hdrc-EP_STATUS_NAME.patch"

S = "${WORKDIR}/git"

do_compile () {
	export CPPFLAGS="${CPPFLAGS} ${CFLAGS}"
	sed -i -e 's:pthread:pthread ${LDFLAGS}:' Makefile
	oe_runmake KERNEL_SRC=${STAGING_KERNEL_DIR} CROSS_COMPILE=${TARGET_PREFIX}
}

do_install () {
	sed -i -e s:local/::g Makefile
	# "/usr/bin" is hardcoded in the makefile
	install -d ${D}/usr/bin
	oe_runmake install DESTDIR="${D}"
}

#Need specific kernel headers
PACKAGE_ARCH = "${MACHINE_ARCH}"

repository: overo/overo-oe-natty

repo_name: overo/overo-oe-natty

branch_name: HEAD


text:
DESCRIPTION = "The glog library implements application-level logging. This \
library provides logging APIs based on C++-style streams and various helper \
macros."
HOMEPAGE = "https://github.com/google/glog"

LICENSE = "BSD-3-Clause"
LIC_FILES_CHKSUM = "file://COPYING;md5=dc9db360e0bbd4e46672f3fd91dd6c4b"

DEPENDS = "libunwind"

SRC_URI = " \
    git://github.com/google/glog.git;nobranch=1 \
    file://0001-Rework-CMake-glog-VERSION-management.patch \
    file://0002-Find-Libunwind-during-configure.patch \
    file://0003-installation-path-fix.patch \
"

SRCREV = "a6a166db069520dbbd653c97c2e5b12e08a8bb26"

S = "${WORKDIR}/git"

inherit cmake

RDEPENDS_${PN} += "libunwind"

EXTRA_OECMAKE += "-DBUILD_SHARED_LIBS=ON"

repository: moorthy-bs/meta-openembedded

repo_name: moorthy-bs/meta-openembedded


text:
@inproceedings{Chakrabarty2016b,
 author = {S. Chakrabarty and D. Pilakeezhu and E. A. P. Habets},
 booktitle = {IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)},
 month = {October},
 title = {Head-orientation compensation with video-informed single channel speech enhancement},
 year = {2016}
}

repository: Soumitro-Chakrabarty/academic-kickstart

repo_name: Soumitro-Chakrabarty/academic-kickstart


text:
@article{wang2018highly,
 abstract = {Flexible tactile sensor has been extensively investigated as a key component for emerging electronics applications such as robotics, wearable devices, computer hardware, and security systems. Tactile sensors based on various one-dimensional materials have been widely explored. However, precise control of the direction and distribution of these nanomaterials remains a great challenge, and it has been difficult to scale down the device. Here, we introduce highly sensitive integrated flexible tactile sensors based on uniform phase-change Ge2Sb2Te5 (GST) thin films that can scale device size down, at least, to micrometer range. Significant piezoresistive effect has been observed in GST-based sensors, showing a giant gauge factor of 338. A proof of concept 5 × 5 sensor array functioning as a touch panel has been demonstrated. Also, the flexible GST tactile sensor has been utilized for monitoring of radial artery pulse. In addition to the well-known tunable electrical and optical properties, the piezoresistive GST films provide a versatile platform for the integration of sensing, recording, and displaying functions. By reducing feature size to one micron, flexible tactile sensors with high spatial resolution and sensitivity are demonstrated. A collaborative team led by Nian-Xiang Sun from the Department of Electrical and Computer Engineering at Northeastern University developed integrated flexible tactile sensors and sensor arrays with high sensitivity and spatial resolution. The sensor's high sensitivity (e.g. gauge factor of 338) is due to developed piezoresistive Ge2Sb2Te5 thin films. To obtain a high spatial resolution above 12,700 pixels per inch, the sensor's feature size was reduced to one micron. Sun and co-workers demonstrate the applicability of the integrated flexible tactile sensors for next-generation touch display applications through proof-of-concept 5 × 5 sensor arrays and Ge2Sb2Te5 strain sensors with enhanced performance at smaller size.},
 author = {Wang, Zhiguang and Dong, Cunzheng and Wang, Xinjun and Li, Menghui and Nan, Tianxiang and Liang, Xianfeng and Chen, Huaihao and Wei, Yuyi and Zhou, Haomiao and Zaeimbashi, Mohsen and Cash, Syd and Sun, Nian-Xiang},
 doi = {10.1038/s41528-018-0030-4},
 issn = {2397-4621},
 journal = {npj Flex. Electron.},
 number = {1},
 pages = {17},
 publisher = {Nature Publishing Group},
 title = {Highly sensitive integrated flexible tactile sensors with piezoresistive Ge 2 Sb2Te5 thin films},
 url = {http://www.nature.com/articles/s41528-018-0030-4},
 volume = {2},
 year = {2018}
}


text:
@InProceedings{	  bai.a.simmons.r.ea:intention-aware,
  author	= {Aijun Bai and Reid Simmons and Manuela Veloso and Xiaoping
		  Chen},
  title		= {Intention-Aware Multi-Human Tracking for Human-Robot
		  Interaction via Particle Filtering over Sets},
  booktitle	= {AAAI Fall Symposium Series},
  year		= {2014}
}

@InProceedings{	  bai.a.wu.f.ea:online,
  title		= "Online planning for large {MDP}s with {MAXQ} decomposition
		  (Extended Abstract)",
  author	= "Aijun Bai and Feng Wu and Xiaoping Chen",
  booktitle	= "International Conference on Autonomous Agents and
		  Multiagent Systems, {AAMAS} 2012, Valencia, Spain, June
		  4-8, 2012 (3 Volumes)",
  publisher	= "IFAAMAS",
  year		= "2012",
  editor	= "Wiebe van der Hoek and Lin Padgham and Vincent Conitzer
		  and Michael Winikoff",
  pages		= "1215--1216"
}

@Article{	  bai.a.wu.f.ea:posterior,
  author	= {Aijun Bai and Feng Wu and Xiaoping Chen},
  journal	= {Applied Intelligence (AI)},
  title		= {Posterior Sampling for Monte Carlo Planning under
		  Uncertainty},
  year		= {2018}
}

@InProceedings{	  bai.a.wu.f.ea:online*1,
  author	= {Aijun Bai and Feng Wu and Xiaoping Chen},
  title		= {Online Planning for Large {MDP}s with {MAXQ}
		  Decomposition},
  booktitle	= {Proc. of the Autonomous Robots and Multirobot Systems
		  workshop (at AAMAS 2012)},
  month		= {Jun},
  year		= {2012}
}

@InProceedings{	  bai.a.simmons.r.ea:multi-object,
  author	= "Aijun Bai and Reid Simmons and Manuela Veloso",
  title		= "{Multi-Object} Tracking and Identification via Particle
		  Filtering over Sets",
  booktitle	= "2017 20th International Conference on Information Fusion,
		  FUSION 2017",
  address	= "Xi'an, P.R. China",
  days		= 9,
  month		= jul,
  year		= 2017,
  keywords	= "Multi-Object Tracking; Particle Filtering",
  abstract	= "The ability for an information-fusion system to track and
		  identify potentially multiple objects in a dynamic
		  environment is essential for many applications, such as
		  automated surveillance, traffic monitoring, human-robot
		  interaction, etc. The main challenge is due to the noisy
		  and incomplete perception including inevitable false
		  negative and false positive errors, usually originated from
		  some low-level sensors or detectors. To address this
		  challenge, we propose a novel particle filtering over sets
		  based approach to multi-object tracking and identification.
		  We model the multi-object tracking problem as a hidden
		  Markov model with states and observations represented as
		  finite sets. We then develop motion and observation
		  functions accordingly, and do the inference via particle
		  filtering. The corresponding object identification problem
		  is then formulated and solved by using the
		  expectation-maximization method. The set formulation
		  enables us to avoid directly performing
		  observation-to-object association. We empirically confirm
		  that the proposed algorithm outperforms the
		  state-of-the-art in a popular PETS dataset."
}

@InProceedings{	  bai.a.wu.f.ea:thompson,
  author	= {Aijun Bai and Feng Wu and Zongzhang Zhang and Xiaoping
		  Chen},
  title		= {{T}hompson Sampling Based {M}onte-{C}arlo Planning in
		  {POMDP}s},
  booktitle	= {Proceedings of the Twenty-Fourth International Conference
		  on Automated Planning and Scheduling, {ICAPS} 2014,
		  Portsmouth, New Hampshire, USA, June 21-26, 2014},
  year		= {2014}
}

@InProceedings{	  zhang.z.hsu.d.ea:please-,
  author	= {Zongzhang Zhang and David Hsu and Wee Sun Lee and Zhan Wei
		  Lim and Aijun Bai},
  title		= {{PLEASE:} Palm Leaf Search for {POMDP}s with Large
		  Observation Spaces},
  booktitle	= {Proceedings of the Twenty-Fifth International Conference
		  on Automated Planning and Scheduling, {ICAPS} 2015,
		  Jerusalem, Israel, June 7-11, 2015.},
  pages		= {249--258},
  year		= {2015}
}

@InProceedings{	  lu.q.lu.g.ea:intelligent,
  author	= {Qiang Lu and Guanghui Lu and Aijun Bai and Dongxiang Zhang
		  and Xiaoping Chen},
  title		= {An Intelligent Service System with Multiple Robots},
  booktitle	= {Robot Competition of International Joint Conference on
		  Artificial Intelligence, IJCAI 2013},
  address	= {Beijing, China},
  year		= {2013}
}

@InProceedings{	  bai.a.srivastava.s.ea:markovian,
  author	= {Aijun Bai and Siddharth Srivastava and Stuart Russell},
  title		= {Markovian State and Action Abstractions for {MDP}s via
		  Hierarchical {MCTS}},
  booktitle	= {Proceedings of the Twenty-Fifth International Joint
		  Conference on Artificial Intelligence, {IJCAI} 2016, New
		  York, NY, USA, 9-15 July 2016},
  pages		= {3029--3039},
  year		= {2016},
  url		= {http://www.ijcai.org/Abstract/16/430}
}

@InProceedings{	  bai.a.russell.s:efficient,
  author	= {Aijun Bai and Stuart Russell},
  title		= {Efficient Reinforcement Learning with Hierarchies of
		  Machines by Leveraging Internal Transitions},
  booktitle	= {Proceedings of the Twenty-Sixth International Joint
		  Conference on Artificial Intelligence, {IJCAI} 2017,
		  Melbourne, Australia, August 19-26, 2017},
  pages		= {1418--1424},
  year		= {2017},
  doi		= {10.24963/ijcai.2017/196},
  url		= { https://doi.org/10.24963/ijcai.2017/196}
}

@InProceedings{	  bai.a.chen.x.ea:wrighteagle,
  title		= "{W}right{E}agle and {UT} {A}ustin {V}illa: {R}obo{C}up
		  2011 Simulation League Champions",
  author	= "Aijun Bai and Xiaoping Chen and Patrick MacAlpine and
		  Daniel Urieli and Samuel Barrett and Peter Stone",
  publisher	= "Springer",
  year		= "2011",
  volume	= "7416",
  booktitle	= "RoboCup-2011: Robot Soccer World Cup XV",
  editor	= "Thomas R{\"o}fer and Norbert Michael Mayer and Jesus
		  Savage and Uluc Saranli",
  pages		= "1--12",
  series	= "Lecture Notes in Computer Science"
}

@InProceedings{	  bai.a.wu.f.ea:towards,
  title		= "Towards a Principled Solution to Simulated Robot Soccer",
  author	= "Aijun Bai and Feng Wu and Xiaoping Chen",
  publisher	= "Springer",
  year		= "2012",
  volume	= "7500",
  booktitle	= "RoboCup-2012: Robot Soccer World Cup XVI",
  editor	= "Xiaoping Chen and Peter Stone and Luis Enrique Sucar and
		  Tijn van der Zant",
  pages		= "141--153",
  series	= "Lecture Notes in Computer Science"
}

@InProceedings{	  bai.a.russell.s.ea:concurrent,
  title		= "Concurrent Hierarchical Reinforcement Learning for
		  {RoboCup Keepaway}",
  author	= "Aijun Bai and Stuart Russell and Xiaoping Chen",
  publisher	= "Springer",
  year		= "2017",
  booktitle	= "RoboCup-2017: Robot World Cup XX",
  series	= "Lecture Notes in Computer Science"
}

@InProceedings{	  prokopenko.m.wang.p.ea:robocup,
  title		= "{RoboCup} 2D Soccer Simulation League: Evaluation
		  Challenges",
  author	= "Mikhail Prokopenko and Peter Wang and Sebastian Marian and
		  Aijun Bai and Xiao Li and Xiaoping Chen",
  publisher	= "Springer",
  year		= "2017",
  booktitle	= "RoboCup-2017: Robot World Cup XX",
  series	= "Lecture Notes in Computer Science"
}

@InCollection{	  bai.a.wu.f.ea:bayesian,
  title		= {Bayesian Mixture Modelling and Inference based {T}hompson
		  Sampling in {M}onte-{C}arlo Tree Search},
  author	= {Bai, Aijun and Wu, Feng and Chen, Xiaoping},
  booktitle	= {Advances in Neural Information Processing Systems (NIPS)
		  26},
  editor	= {C. J. C. Burges and L. Bottou and M. Welling and Z.
		  Ghahramani and K. Q. Weinberger},
  pages		= {1646--1654},
  year		= {2013},
  publisher	= {Curran Associates, Inc.}
}

@InProceedings{	  bai.a.russell.s:speeding,
  author	= {Aijun Bai and Stuart Russell},
  title		= {Speeding Up {HAM} Learning with Internal Transitions},
  booktitle	= {The Multi-disciplinary Conference on Reinforcement
		  Learning and Decision Making, {RLDM} 2017, Ann Arbor,
		  Michigan, USA, June 11-14},
  year		= {2017}
}

@InProceedings{	  zhang.z.hsu.d.ea:please-*1,
  author	= {Zongzhang Zhang and David Hsu and Wee Sun Lee and Zhan Wei
		  Lim and Aijun Bai},
  title		= {{PLEASE:} Palm Leaf Search for {POMDP}s with Large
		  Observation Spaces (Extended Abstract)},
  booktitle	= {Proceedings of the Eighth Annual Symposium on
		  Combinatorial Search, {SOCS} 2015, 11-13 June 2015, Ein
		  Gedi, the Dead Sea, Israel.},
  pages		= {238--240},
  year		= {2015}
}

@Article{	  bai.a.wu.f.ea:online*2,
  author	= {Bai, Aijun and Wu, Feng and Chen, Xiaoping},
  title		= {Online Planning for Large {M}arkov Decision Processes with
		  Hierarchical Decomposition},
  journal	= {ACM Transactions on Intelligent Systems and Technology
		  (TIST)},
  volume	= {6},
  number	= {4},
  month		= {Jul},
  year		= {2015},
  pages		= {45:1--45:28},
  publisher	= {ACM},
  address	= {New York, NY, USA}
}


text:
@article{Wang:2003ic,
 author = {Wang, X and Zhao, X and Mao, Z Y and Wang, X M and Liu, Z L},
 date-added = {2019-05-20T01:18:19GMT},
 date-modified = {2019-05-20T01:46:13GMT},
 doi = {10.1097/01.wnr.0000093483.65585.86},
 journal = {Neuroreport},
 number = {18},
 pages = {2457--2461},
 rating = {0},
 title = {Neuroprotective effect of docosahexaenoic acid on glutamate-induced cytotoxicity in rat hippocampal cultures},
 uri = {r̆lpapers3://publication/doi/10.1097/01.wnr.0000093483.65585.86},
 url = {http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=mekentosj&SrcApp=Papers&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000188843800033},
 volume = {14},
 year = {2003}
}


text:
@Book{xie2015,
  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 = {http://yihui.name/knitr/},
}
@article{mice2011,
    title = {{mice}: Multivariate Imputation by Chained Equations in R},
    author = {Stef {van Buuren} and Karin Groothuis-Oudshoorn},
    journal = {Journal of Statistical Software},
    year = {2011},
    volume = {45},
    number = {3},
    pages = {1--67},
    url = {http://www.jstatsoft.org/v45/i03/},
  }
@Article{VIM2016,
    title = {Imputation with the {R} Package {VIM}},
    author = {Alexander Kowarik and Matthias Templ},
    journal = {Journal of Statistical Software},
    year = {2016},
    volume = {74},
    number = {7},
    pages = {1--16},
    doi = {10.18637/jss.v074.i07},
  }
@article{psqi1989,
  title={The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research},
  author={Buysse, Daniel J and Reynolds, Charles F and Monk, Timothy H and Berman, Susan R and Kupfer, David J},
  journal={Psychiatry research},
  volume={28},
  number={2},
  pages={193--213},
  year={1989},
  publisher={Elsevier}
}
@inproceedings{bai2012,
  title={Will you have a good sleep tonight?: sleep quality prediction with mobile phone},
  author={Bai, Yin and Xu, Bin and Ma, Yuanchao and Sun, Guodong and Zhao, Yu},
  booktitle={Proceedings of the 7th International Conference on Body Area Networks},
  pages={124--130},
  year={2012},
  organization={ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}
}
@article{mastin2006,
  title={Assessment of sleep hygiene using the Sleep Hygiene Index},
  author={Mastin, David F and Bryson, Jeff and Corwyn, Robert},
  journal={Journal of behavioral medicine},
  volume={29},
  number={3},
  pages={223--227},
  year={2006},
  publisher={Springer}
}
@incollection{Posner2011,
title = "Chapter 3 - Sleep Hygiene ",
editor = "Perlis, Michael and Aloia, Mark  and Kuhn, Brett ",
booktitle = "Behavioral Treatments for Sleep Disorders ",
publisher = "Academic Press",
edition = "",
address = "San Diego",
year = "2011",
pages = "31 - 43",
series = "Practical Resources for the Mental Health Professional",
issn = "18730450",
doi = "http://dx.doi.org/10.1016/B978-0-12-381522-4.00003-1",
url = "http://www.sciencedirect.com/science/article/pii/B9780123815224000031",
author = "Donn Posner and Philip R. Gehrman"
}
@article{Cameron2010,
author = {Cameron A.   Brick  and  Darbi L.   Seely  and  Tonya M.   Palermo },
title = {Association Between Sleep Hygiene and Sleep Quality in Medical Students},
journal = {Behavioral Sleep Medicine},
volume = {8},
number = {2},
pages = {113-121},
year = {2010},
doi = {10.1080/15402001003622925},
note ={PMID: 20352547},
URL = {
        http://dx.doi.org/10.1080/15402001003622925

},
eprint = {
        http://dx.doi.org/10.1080/15402001003622925

}

}
@book{Wentz2011,
  title={The Healthy Home: Simple Truths to Protect Your Family from Hidden Household Dangers},
  author={Wentz, Dave and Wentz, Myron},
  year={2011},
  publisher={Vanguard}
}
@article{Irish2015,
author = {Irish, Leah A and Kline, Christopher E and Gunn, Heather E and Buysse, Daniel J and Hall, Martica H},
doi = {10.1016/j.smrv.2014.10.001},
issn = {1532-2955},
journal = {Sleep Medicine Reviews},
keywords = {Alcohol,Caffeine,Exercise,Napping,Nicotine,Noise,Public health,Sleep hygiene,Sleep timing,Stress},
mendeley-groups = {Thesis/Sleep/Sleep hygiene},
pages = {23--36},
publisher = {Elsevier Ltd},
title = {{The role of sleep hygiene in promoting public health: A review of empirical evidence}},
volume = {22},
year = {2015}
}
@article{Tang2014,
author = {Tang, Jiliang and Alelyani, Salem and Liu, Huan},
doi = {10.1.1.409.5195},
isbn = {978-1-4665-8674-1},
journal = {Data Classification: Algorithms and Applications},
pages = {37--64},
title = {{Feature Selection for Classification: A Review}},
year = {2014},
}
@Article{Amelia2011,
    title = {{Amelia II}: A Program for Missing Data},
    author = {James Honaker and Gary King and Matthew Blackwell},
    journal = {Journal of Statistical Software},
    year = {2011},
    volume = {45},
    number = {7},
    pages = {1--47},
    url = {http://www.jstatsoft.org/v45/i07/},
  }
@incollection{Stefano2014,
  title={Sleep Hygiene},
  author={de Biase, Stefano and Milioli, Giulia and Grassi, Andrea and Lorenzut, Simone and Parrino, Liborio and Gigli, Gian Luigi},
  booktitle={Sleepiness and Human Impact Assessment},
  pages={289--295},
  year={2014},
  publisher={Springer}
}
@book{Kelleher2015,
address = {London},
archivePrefix = {arXiv},
arxivId = {arXiv:1011.1669v3},
author = {Kelleher, John D. and Namee, Brian Mac and D'Arcy, Aoife},
booktitle = {Igarss 2014},
isbn = {978-0-262-02944-5},
issn = {13514180},
number = {1},
pages = {1--691},
pmid = {15991970},
publisher = {The MIT Press},
title = {{Fundamentals of Machine Learning for Predictive Data Analytics: algorithms, worked examples, and case studies}},
year = {2015}
}
@book{Liu1998,
author = {Liu, Huan and Motoda, Hiroshi},
doi = {10.1007/978-1-4615-5689-3},
isbn = {978-1-4613-7604-0},
issn = {1098-6596},
pages = {224},
pmid = {25246403},
title = {{Feature selection for knowledge discovery and data mining}},
year = {1998},
}
@article{Guyon2002,
  title={Gene selection for cancer classification using support vector machines},
  author={Guyon, Isabelle and Weston, Jason and Barnhill, Stephen and Vapnik, Vladimir},
  journal={Machine learning},
  volume={46},
  number={1-3},
  pages={389--422},
  year={2002},
  publisher={Springer}
}
@article{Ma2008,
  title={Penalized feature selection and classification in bioinformatics},
  author={Ma, Shuangge and Huang, Jian},
  journal={Briefings in bioinformatics},
  volume={9},
  number={5},
  pages={392--403},
  year={2008},
  publisher={Oxford Univ Press}
}
@article{Quinlan1986,
  title={Induction of decision trees},
  author={Quinlan, J. Ross},
  journal={Machine learning},
  volume={1},
  number={1},
  pages={81--106},
  year={1986},
  publisher={Springer}
}
@book{Quinlan1993,
  title={C4.5: programs for machine learning},
  author={Quinlan, J. R.},
  year={1993},
  publisher={Morgan Kaufmann}
}

repository: arturo-laflor/material-complementario

repo_name: arturo-laflor/material-complementario


text:
SUMMARY = "An implementation of oeedger8r in C++"
DESCRIPTION = "While oeedger8r is normally build (native) during the Openenclave build, this clashes with the normal OpenEmbedded flow. \
               OpenEmbedded uses the navive and target build seperatly. To work around this we remove oeedger8r from the openenclave build, \
	       and pull it in as a dependency"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://${S}/LICENSE;md5=95942ce8cea2174b68f8d2f596aa21d2"

BBCLASSEXTEND += " native"
DEPENDS = "cmake"

SRC_URI = "git://github.com/openenclave/oeedger8r-cpp.git;protocol=https;nobranch=1;"
SRCREV = "024b3de4f4b3e873b86d35a6b1f5b3d3bb7b9fe8"

S = "${WORKDIR}/git"
B = "${WORKDIR}/build"

do_configure() {

    cd ${B}
    cmake ${S}
}

do_compile() {
    cd ${B}
    make
}

do_install() {
    install -D -p -m0750 ${B}/src/oeedger8r ${D}/${bindir}/oeedger8r
}

repository: Scalys/meta-scalys-openenclave

repo_name: Scalys/meta-scalys-openenclave


text:
@article{Leroux-2021-Improvement,
    title = "Improvement of Snow Gauge Collection Efficiency through a Knowledge of Solid Precipitation Fall Speed",
    author = "Leroux, Nicolas R.  and
      Th{\'e}riault, Julie M.  and
      Rasmussen, Roy",
    journal = "Journal of Hydrometeorology, Volume 22, Issue 4",
    volume = "22",
    number = "4",
    year = "2021",
    publisher = "American Meteorological Society",
    url = "https://aclanthology.org/G21-173001",
    doi = "10.1175/jhm-d-20-0147.1",
    pages = "997--1006",
}
@article{Thériault-2021-Improvement,
    title = "Improvement of Solid Precipitation Measurements Using a Hotplate Precipitation Gauge",
    author = "Th{\'e}riault, Julie M.  and
      Leroux, Nicolas R.  and
      Rasmussen, Roy M.",
    journal = "Journal of Hydrometeorology, Volume 22, Issue 4",
    volume = "22",
    number = "4",
    year = "2021",
    publisher = "American Meteorological Society",
    url = "https://aclanthology.org/G21-173002",
    doi = "10.1175/jhm-d-20-0168.1",
    pages = "877--885",
}

repository: gwf-uwaterloo/gwf-publications

repo_name: gwf-uwaterloo/gwf-publications

gha_language: Python


text:
# Generated by superflore -- DO NOT EDIT
#
# Copyright Open Source Robotics Foundation

inherit ros_distro_noetic
inherit ros_superflore_generated

DESCRIPTION = "A runtime message handler for ROS.     Allows subscription, publishing, calling of services and actions with messages known only at runtime."
AUTHOR = "Stefan Fabian <ros_babel_fish@stefanfabian.me>"
ROS_AUTHOR = "Stefan Fabian <ros_babel_fish@stefanfabian.me>"
HOMEPAGE = "https://wiki.ros.org"
SECTION = "devel"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://package.xml;beginline=12;endline=12;md5=58e54c03ca7f821dd3967e2a2cd1596e"

ROS_CN = "ros_babel_fish"
ROS_BPN = "ros_babel_fish"

ROS_BUILD_DEPENDS = " \
    actionlib \
    openssl \
    roscpp \
    roslib \
"

ROS_BUILDTOOL_DEPENDS = " \
    catkin-native \
"

ROS_EXPORT_DEPENDS = " \
    actionlib \
    openssl \
    roscpp \
    roslib \
"

ROS_BUILDTOOL_EXPORT_DEPENDS = ""

ROS_EXEC_DEPENDS = " \
    actionlib \
    openssl \
    roscpp \
    roslib \
"

# Currently informational only -- see http://www.ros.org/reps/rep-0149.html#dependency-tags.
ROS_TEST_DEPENDS = " \
    geometry-msgs \
    ros-babel-fish-test-msgs \
    rosapi \
    roscpp-tutorials \
    rosgraph-msgs \
    rostest \
    std-msgs \
    std-srvs \
    visualization-msgs \
"

DEPENDS = "${ROS_BUILD_DEPENDS} ${ROS_BUILDTOOL_DEPENDS}"
# Bitbake doesn't support the "export" concept, so build them as if we needed them to build this package (even though we actually
# don't) so that they're guaranteed to have been staged should this package appear in another's DEPENDS.
DEPENDS += "${ROS_EXPORT_DEPENDS} ${ROS_BUILDTOOL_EXPORT_DEPENDS}"

RDEPENDS:${PN} += "${ROS_EXEC_DEPENDS}"

# matches with: https://github.com/StefanFabian/ros_babel_fish-release/archive/release/noetic/ros_babel_fish/0.9.1-1.tar.gz
ROS_BRANCH ?= "branch=release/noetic/ros_babel_fish"
SRC_URI = "git://github.com/StefanFabian/ros_babel_fish-release;${ROS_BRANCH};protocol=https"
SRCREV = "f104beaf3aea33c966641f49f56e3e7dc2f27522"
S = "${WORKDIR}/git"

ROS_BUILD_TYPE = "catkin"

inherit ros_${ROS_BUILD_TYPE}

repository: DasRoteSkelett/meta-ros

repo_name: DasRoteSkelett/meta-ros


text:
@article{2018-Eilertsen-MBS,
 abstract = {The determination of a substrate or enzyme activity by coupling one
enzymatic reaction with another easily detectable (indicator) reaction
is a common practice in the biochemical sciences. Usually, the kinetics
of enzyme reactions is simplified with singular perturbation analysis to
derive rate or time course expressions valid under the
quasi-steady-state and reactant stationary state assumptions. In this
paper, the dynamical behavior of coupled enzyme catalyzed reaction
mechanisms is studied by analysis of the phase-plane. We analyze two
types of time-dependent slow manifolds - Sisyphus and Laelaps manifolds
- that occur in the asymptotically autonomous vector fields that arise
from enzyme coupled reactions. Projection onto slow manifolds yields
various reduced models, and we present a geometric interpretation of the
slow/fast dynamics that occur in the phase-planes of these reactions.},
 author = {Eilertsen, Justin and Stroberg, Wylie and Schnell, Santiago},
 doi = {10.1016/j.mbs.2018.09.008},
 journal = {MATHEMATICAL BIOSCIENCES},
 journal-iso = {Math. Biosci.},
 keywords = {Enzyme kinetics; Coupled enzyme assays; Michaelis-Menten reactions;
Time-dependent slow manifold; Sisyphus manifold; Laelaps manifold;
Differential-algebraic equation; Asymptotically autonomous vector field},
 keywords-plus = {STEADY-STATE ASSUMPTION; KINETIC-ANALYSIS; VALIDITY; TIME;
APPROXIMATION; ACTIVATION; MECHANISM; ERRORS; SYSTEM},
 month = {DEC},
 orcid-numbers = {Schnell, Santiago/0000-0002-9477-3914},
 pages = {126--135},
 researcherid-numbers = {Schnell, Santiago/B-8682-2008},
 title = {Phase-plane geometries in coupled enzyme assays},
 type = {Article},
 unique-id = {ISI:000453496200012},
 volume = {306},
 year = {2018}
}

repository: wstroberg/starter-academic

repo_name: wstroberg/starter-academic


text:
@inproceedings{beck-etal-2018-graph,
    title = "Graph-to-Sequence Learning using Gated Graph Neural Networks",
    author = "Beck, Daniel  and
      Haffari, Gholamreza  and
      Cohn, Trevor",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P18-1026",
    doi = "10.18653/v1/P18-1026",
    pages = "273--283",
}

url: https://raw.githubusercontent.com/Hugh-Shi/DL-NLP-Readings/924e4d189e5660c5b5d4854278f3df755ae2231d/Bibtex/Graph-to-Sequence Learning using Gated Graph Neural Networks.bib

repository: Hugh-Shi/DL-NLP-Readings

repo_name: Hugh-Shi/DL-NLP-Readings


text:
@article{bennet:1994,
  title={Amino acid substitution during functionally constrained divergent evolution of protein sequences},
  author={Bennet, SA and Cohen, Mark A and Gonnet, Gaston H},
  journal={Protein Engineering},
  volume={7},
  number={11},
  pages={1323--1332},
  year={1994},
  publisher={Oxford Univ Press}
}

@inproceedings{dayhoff:1978,
  title={A model of evolutionary change in proteins},
  author={Dayhoff, Margaret O and Schwartz, Robert M},
  booktitle={In Atlas of protein sequence and structure},
  year={1978},
  organization={Citeseer}
}

@article{henikoff:1992,
  title={Amino acid substitution matrices from protein blocks},
  author={Henikoff, Steven and Henikoff, Jorja G},
  journal={Proceedings of the National Academy of Sciences},
  volume={89},
  number={22},
  pages={10915--10919},
  year={1992},
  publisher={National Acad Sciences}
}

@article{jones:1992,
  title={The rapid generation of mutation data matrices from protein sequences},
  author={Jones, David T and Taylor, William R and Thornton, Janet M},
  journal={Computer applications in the biosciences: CABIOS},
  volume={8},
  number={3},
  pages={275--282},
  year={1992},
  publisher={Oxford Univ Press}
}
@misc{Muffin:2015,
  author = {WebSite},
  title = {Photobucket},
  note = {Last accessed: April, 2015, \url{http://s202.photobucket.com/user/pastor\_bob/media/EnglishMuffin\_zpsb6fe2bd9.jpg.html}},
  year = {2015}
}
@article{whelan:2001,
  title={A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach},
  author={Whelan, Simon and Goldman, Nick},
  journal={Molecular biology and evolution},
  volume={18},
  number={5},
  pages={691--699},
  year={2001},
  publisher={SMBE}
}

repository: rdragos/work

repo_name: rdragos/work


text:
# base recipe: meta-python/recipes-devtools/python/python3-pyyaml_5.3.1.bb
# base branch: warrior
# base commit: 6a7ef1fbb8342d31b76128b102e028844b6f3c98
# http://cgit.openembedded.org/meta-openembedded/tree/meta-python/recipes-devtools/python/python3-pyyaml_5.3.1.bb?id=6a7ef1fbb8342d31b76128b102e028844b6f3c98&h=warrior

SUMMARY = "Python support for YAML"
DEPENDS += "libyaml python3-cython-native"

LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://LICENSE;md5=5591701d32590f9fa94f3bfee820b634"

inherit debian-package
require recipes-debian/sources/pyyaml.inc

DEBIAN_UNPACK_DIR = "${WORKDIR}/PyYAML-${PV}"
S = "${WORKDIR}/PyYAML-${PV}"

inherit setuptools3

RDEPENDS_${PN} += "\
    python3-datetime \
    python3-netclient \
"

BBCLASSEXTEND = "native nativesdk"

repository: miraclelinux/meta-debian-extended

repo_name: miraclelinux/meta-debian-extended

branch_name: refs/heads/warrior


text:
require kismet.inc

PR = "r3"

SRC_URI[md5sum] = "a1dcea71f0c3f881ef72f5bca2db7b39"
SRC_URI[sha256sum] = "1b998b34e2e9377f5ac7704295d64507234fe7656e49d384f8bf95604e97e05b"


text:
SRC_URI[cortexa15hf-neon-vfpv4.md5sum] = "d72a6128665f7311f425a8cedcdc2003"
SRC_URI[cortexa15hf-neon-vfpv4.sha256sum] = "538903c3e461025892b888a0fc0024a30c5d17434c2c5de65c16f9cade319725"
SRC_URI[mips32el.md5sum] = "efa685924f40e3442e7f580ee8d81e29"
SRC_URI[mips32el.sha256sum] = "10eae13cb743a6383e347569b4ab69c706f6482c4f7dab5f8eaaf94c885c69f8"

inherit opendreambox-precompiled-binary

require enigma2-hbbtv-plugin.inc

repository: engycz/opendreambox

repo_name: engycz/opendreambox

branch_name: refs/heads/krogoth


text:
body{
    font-family: monospace;
    margin: 0;
    background-color: #232323;
}
canvas{
    border: 2px solid black;
    background-color: antiquewhite;
}
#header{
    color: #232323;
    padding: 10px;
    text-align: center;
    background-color: teal;
    font-size: 125%;
}
#canvas{
    display: flex;
    padding-top: 10px;
}
#area_de_dibujo{
    margin: 0 auto;
}
#borrar{
    display: inline-block;
    background-color: #232323;
    color: antiquewhite;
    cursor: pointer;
    border: none;
    height: 30px;
    border-radius: 15%;
}

repository: donnatto/canvas-drawing

repo_name: donnatto/canvas-drawing


text:
@article{Adams-2022-Rates,
    title = "Rates and timing of chlorophyll-{\textless}i{\textgreater}a{\textless}/i{\textgreater} increases and related environmental variables in global temperate and cold-temperate lakes",
    author = "Adams, Hannah  and
      Ye, Jane  and
      Persaud, Bhaleka D.  and
      Slowinski, Stephanie  and
      Kheyrollah Pour, Homa  and
      Van Cappellen, Philippe",
    journal = "Earth System Science Data, Volume 14, Issue 11",
    volume = "14",
    number = "11",
    year = "2022",
    publisher = "Copernicus GmbH",
    url = "https://aclanthology.org/G22-99001",
    doi = "10.5194/essd-14-5139-2022",
    pages = "5139--5156",
}


text:
@article{rahman2020accountable,
 author = {Rahman, Mohammad Shahriar and Al Omar, Abdullah and Bhuiyan, Md Zakirul Alam and Basu, Anirban and Kiyomoto, Shinsaku and Wang, Guojon},
 journal = {IEEE Transactions on Engineering Management},
 publisher = {IEEE},
 title = {Accountable cross-border data sharing using blockchain under relaxed trust assumption},
 year = {2020}
}


text:
# Generated by Build Tool (see Engine/Tools/Build for details)

set(SOURCE
    "./DefaultInputAxes.yaml"
    "./ZerothSettings.yaml"
    )

source_group("Settings" FILES ${SOURCE})

set(SOURCE_FILES
    ${SOURCE}
    )

repository: colinhect/zeroth

repo_name: colinhect/zeroth

extension: cmake


text:
.footer {
  position: fixed;
  bottom: 0;
  display: flex;
  align-items: center;
  justify-content: center;
  gap: 5px;
  height: 100px;
  width: 100%;
  text-align: center;
  font-size: 14px;
  padding: 20px;
  border-top: 10px solid #3c005a;
}

.footer-link {
  color: #800080;
  font-weight: 700;
}

.footer-link:hover {
  color: #800080;
  opacity: .7;
  /* padding-bottom: 5px;
  border-bottom: 1px solid #800080; */
}

footer > a {
  text-decoration: none;
  background-color: transparent;
  color: black;
  font-size: 13px;
}


text:
#credits-list {
    margin: 2vw;
    text-align: left;
}

#credits-list p {
    margin-bottom: 10px;
}

repository: roleen/xml-diff-visualizer

repo_name: roleen/xml-diff-visualizer