text:
DESCRIPTION = "Skarnet base libraries"
HOMEPAGE = "http://skarnet.org/software/${PN}/"
LICENSE = "ISC"
SECTION = "base"
DEPENDS = "skalibs"
#RDEPENDS = "skalibs"
LIC_FILES_CHKSUM = "file://COPYING;md5=1500f33d86c4956999052c0e137cd652"

SRC_URI = "http://skarnet.org/software/${PN}/${PN}-${PV}.tar.gz"
SRC_URI[md5sum] = "94eae34d6ebb1141864a2d9f7babd342"
SRC_URI[sha256sum] = "ab4451d4992a5d7fb2ae34cffe4d0806e4902bf9aa27ee3b75617aa35379356f"

#inherit autotools

# Force utilities to be in /bin, independant of what yocto thinks. (lots of
# scripts depend on having a /bin/execlineb shebang line).
bindir = "/bin"

do_configure() {
	${S}/configure --enable-shared --enable-static --with-sysdeps=${STAGING_DIR_TARGET}/usr/lib/skalibs/sysdeps
    touch ${S}/-lskarnet
}

do_install () {
    oe_runmake install DESTDIR=${D}
}


text:
@article{Grünberg-2020-Linking,
    title = "Linking tundra vegetation, snow, soil temperature, and permafrost",
    author = {Gr{\"u}nberg, Inge  and
      Wilcox, Evan J.  and
      Zwieback, Simon  and
      Marsh, Philip  and
      Boike, Julia},
    journal = "Biogeosciences, Volume 17, Issue 16",
    volume = "17",
    number = "16",
    year = "2020",
    publisher = "Copernicus GmbH",
    url = "https://aclanthology.org/G20-90001",
    doi = "10.5194/bg-17-4261-2020",
    pages = "4261--4279",
}

repository: gwf-uwaterloo/gwf-publications

license_type: permissive

repo_name: gwf-uwaterloo/gwf-publications

branch_name: refs/heads/main

gha_language: Python

extension: bib


text:
@InProceedings{burges11a,
  title = {Learning to Rank Using an Ensemble of Lambda-Gradient Models},
  author = {C. Burges and K. Svore and P. Bennett and A. Pastusiak  and  Q. Wu},
  pages = {25--35},
  abstract = {We describe the system that won Track 1 of the Yahoo!Â Learning to Rank Challenge.},
  pdf = {http://jmlr.org/proceedings/papers/v14/burges11a/burges11a.pdf},
}

license: MIT

repository: mreid/papersite

repo_name: mreid/papersite

branch_name: refs/heads/master

gha_license_id: MIT

gha_language: TeX


text:
# Copyright (C) 2015 Romain Perier <romain.perier@gmail.com>
# Released under the MIT license (see COPYING.MIT for the terms)

inherit gettext autotools

DESCRIPTION = "Petitboot kexec bootloader"
HOMEPAGE = "https://www.kernel.org/pub/linux/kernel/people/geoff/petitboot/petitboot.html"
LICENSE = "GPLv2"
LIC_FILES_CHKSUM = "file://COPYING;md5=393a5ca445f6965873eca0259a17f833"
DEPENDS = "udev ncurses"
RDEPENDS_${PN} = "libudev ncurses-libncurses ncurses-libtinfo ncurses-libmenu ncurses-libform kexec udev"
SRC_URI = "git://git.kernel.org/pub/scm/linux/kernel/git/geoff/petitboot.git"
SRCREV_pn-${PN} = "e330e3f5adf78d3ba77217995a4bc3cd1fd16f4c"
PV = "git+20141211-e330e3"
S = "${WORKDIR}/git"
B = "${S}"

EXTRA_OECONF = "--enable-busybox --with-twin-x11=no --with-twin-fbdev=no"
PARALLEL_MAKE = ""

do_configure() {
	olddir=`pwd`
	cd ${S}
	./bootstrap
	cd $olddir
	export CURSES_LIB=-lncurses HOST_PROG_KEXEC=/usr/sbin/kexec
	oe_runconf
}

repository: kraj/meta-rockchip

repo_name: kraj/meta-rockchip

extension: bb


text:
SUMMARY = "LXQt system-tray applet for connman"
LICENSE = "LGPL-2.1"
LIC_FILES_CHKSUM = "file://COPYING;md5=0964c689fcf4c21c6797ea87408416b6"

inherit lxqt

DEPENDS += " \
    liblxqt \
    connman \
    qtsvg \
"

SRC_URI += "file://0001-CMakeLists.txt-Fix-build-with-Qt-5.11_beta3-dropping.patch"
SRCREV = "940493ce509bb2784738d547cc27df677b4835a2"
PV = "0"

FILES_${PN}-dev += " \
    ${datadir}/lxqt/lxqt-connman-applet \
"

FILES_${PN}-locale += " \
    ${datadir}/lxqt/translations \
"

branch_name: refs/heads/nilrt/master/hardknott

gha_language: BitBake


text:
@inproceedings{comparisoncloud,
 address = {Honolulu, HI},
 author = {Gregor von Laszewski and Javier Diaz and Fugang Wang and Geoffrey C. Fox},
 booktitle = {IEEE Cloud 2012},
 doi = {10.1109/CLOUD.2012.104},
 month = {June},
 title = {Comparison of Multiple Cloud Frameworks},
 url = {https://laszewski.github.io/papers/laszewski-IEEECloud2012_id-4803.pdf},
 year = {2012}
}


text:
SUMMARY = "pytest xdist plugin for distributed testing and loop-on-failing modes"
HOMEPAGE = "https://github.com/pytest-dev/pytest-xdist"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://LICENSE;md5=772fcdaca14b378878d05c7d857e6c3e"

SRC_URI[sha256sum] = "d5ee0520eb1b7bcca50a60a518ab7a7707992812c578198f8b44fdfac78e8c93"

inherit pypi python_setuptools_build_meta

DEPENDS += "python3-setuptools-scm-native"

# Note that the dependency on pytest-forked is scheduled to be dropped in 3.0
RDEPENDS:${PN} += " \
    python3-execnet \
    python3-pytest \
    python3-pytest-forked \
"

repository: openembedded/meta-openembedded

repo_name: openembedded/meta-openembedded


text:
@book{Rand1997,
address = {Cold Spring Harbor (NY)},
author = {Rand, James B. and Nonet, Michael L.},
edition = {2},
editor = {DL, Riddle and T, Blumenthal and BJ, Meyer and Al., Et},
publisher = {Cold Spring Harbor Laboratory Press},
title = {{C. elegans II. 2nd edition}},
url = {http://www.ncbi.nlm.nih.gov/books/NBK20175/},
year = {1997}
}

repository: gsarma/PyOpenWorm

repo_name: gsarma/PyOpenWorm


text:
body {
    padding-top: 50px;
    padding-bottom: 20px;
}

/* Set padding to keep content from hitting the edges */
.body-content {
    padding-left: 15px;
    padding-right: 15px;
}

/* Override the default bootstrap behavior where horizontal description lists
   will truncate terms that are too long to fit in the left column
*/
.dl-horizontal dt {
    white-space: normal;
}

/* Set width on the form input elements since they're 100% wide by default */
input,
select,
textarea {
    width: 100%;
    height: 34px
}

/*
    Styles start
*/
.jumbotron {
    background: url('images/main-feature-mobile-background.jpg') no-repeat top left;
    color:white;
}

.jumbotron h1 {
    font:3.5em 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
    text-transform: uppercase;
}

.jumbotron .red {
    color:red;
}

.visual {
    width: 100%;
    height: 180px;
    font: 9.5em Impact, sans-serif;
}
.visual > div {
    width: 100%;
    text-align: center;

}

.table-responsive select {
    margin-bottom:10px;
}

.disabled {
    color:#F0F0F0;
}

#sidebar-wrapper {
    background-color:gray;
}

#sidebar-wrapper a:link, #sidebar-wrapper a:visited, #sidebar-wrapper a:hover, #sidebar-wrapper a:active {
    color:white;
}

.table.center td:not(:nth-of-type(2n)) {
    text-align:center;
}

.caption a:link, .caption a:hover, .caption a:active, .caption a:visited {
    font-weight:bold;
    font-size: 2em;
}

.dropdown-menu p {
    font-size:.8em;
}

/* Bootstrap overrides and updates */
.btn-large {
    width: 100%;
    height: 50px;
    display: block;
    font-size: 1.5em;
}

select {
    font-size: 2em;
}

li {
    list-style:none;
}

td.actions button:not(:last-child) {
    margin-bottom:5px;
}
td.actions button {
    margin-left:7px;
}

/* ------------------------------------ LIST GROUP*/
.list-group {
    margin:10px;
}

.modal-body strong, .panel-body strong {
    font-size:2em;
    display:block;
    width:100%;
    text-align:center;
    background-color:#F0F0F0;
    color:#065FA3;
    border-radius:5px;
    padding:10px 0;
}

.modal-body .thumbnail {
    padding:12px;
}

    .modal-body .price {
        font-size: 2em;
        font-weight: bold;
        color: #6d55b9;
    }

    .modal-body .price span {
        font-size: .7em;
        font-weight:normal;
    }

    .modal-body .price button {
        margin-top: -10px;
    }

    .modal-body .list-group {
        font-size:1.4em;
    }

    .modal-body li.separate {
        border-bottom: 1px solid gray;
        margin-bottom:10px;
    }

    .modal-body li > div::before {
        background-color: #dce6e5;
        color: #65AFA3;
        content: ".";
    }

    .modal-body dl {
        display:inline-block;
    }
     .modal-body dt {
         font-size:.8em;
     }
     .model-body dd:last-child{
         text-align:right;
     }

.panel-body div:not(.input-group) > .form-control {
    margin:3px;
}
    .panel-body .thumbnail{
        min-height: 300px;
    }
        .panel-body .thumbnail.small {
            min-height: inherit;
        }
        .panel-body .thumbnail::after {
            content: ".";
            clear : both;
            height:1px;
            visibility: hidden;
        }
.totals {
    background-color:#F0F0F0;
    padding:10px;
    border-top-left-radius:20px;
    margin-top:10px;
}
    .totals strong {
        background-color:#ddd;
        color:white;
        border-radius: 0px;
        border-bottom:1px solid gray;
        margin-bottom:15px;
        box-shadow:#d4d4d4 68px 10px inset;
        border-top-left-radius:20px;
    }

.links {
    background-color: white;
    border-radius: 16px;
    padding: 15px;
    width:41%;
    opacity:.8;
}
.links:hover {
    opacity:1;
}
    .links img {
        height: 50px;
    }
    .links a:last-child img{
        height: 70px;
    }
    .links a:not(:last-child) img {
        margin-right: 38px;
    }
    .links a:first-child{
        margin-left:10px;
    }

    /* SPINNER */
    .spinner {
    margin: 100px auto 0;
    width: 70px;
    text-align: center;
    position: absolute;
    z-index: 10000;
    left: 50%;
    top: 30%;
}

.spinner > div {
  width: 18px;
  height: 18px;
  background-color: #333;

  border-radius: 100%;
  display: inline-block;
  -webkit-animation: sk-bouncedelay 1.4s infinite ease-in-out both;
  animation: sk-bouncedelay 1.4s infinite ease-in-out both;
}

.spinner .bounce1 {
  -webkit-animation-delay: -0.32s;
  animation-delay: -0.32s;
}

.spinner .bounce2 {
  -webkit-animation-delay: -0.16s;
  animation-delay: -0.16s;
}

@-webkit-keyframes sk-bouncedelay {
  0%, 80%, 100% { -webkit-transform: scale(0) }
  40% { -webkit-transform: scale(1.0) }
}

@keyframes sk-bouncedelay {
  0%, 80%, 100% {
    -webkit-transform: scale(0);
    transform: scale(0);
  } 40% {
    -webkit-transform: scale(1.0);
    transform: scale(1.0);
  }
}

extension: css


text:
@article{gratzl_lineup:_2013,
	title = {{LineUp}: Visual Analysis of Multi-Attribute Rankings},
	volume = {19},
	issn = {1077-2626},
	shorttitle = {{LineUp}},
	doi = {10.1109/TVCG.2013.173},
	abstract = {Rankings are a popular and universal approach to structure otherwise unorganized collections of items by computing a rank for each item based on the value of one or more of its attributes. This allows us, for example, to prioritize tasks or to evaluate the performance of products relative to each other. While the visualization of a ranking itself is straightforward, its interpretation is not because the rank of an item represents only a summary of a potentially complicated relationship between its attributes and those of the other items. It is also common that alternative rankings exist that need to be compared and analyzed to gain insight into how multiple heterogeneous attributes affect the rankings. Advanced visual exploration tools are needed to make this process efficient.

In this paper we present a comprehensive analysis of requirements for the visualization of multi-attribute rankings. Based on these considerations, we propose a novel and scalable visualization technique - {LineUp} - that uses bar charts. This interactive technique supports the ranking of items based on multiple heterogeneous attributes with different scales and semantics. It enables users to interactively combine attributes and flexibly refine parameters to explore the effect of changes in the attribute combination. This process can be employed to derive actionable insights into which attributes of an item need to be modified in order for its rank to change.
Additionally, through integration of slope graphs, {LineUp} can also be used to compare multiple alternative rankings on the same set of items, for example, over time or across different attribute combinations. We evaluate the effectiveness of the proposed multi-attribute visualization technique in a qualitative study. The study shows that users are able to successfully solve complex ranking tasks in a short period of time.},
	language = {English},
	number = {12},
	journal = {{IEEE} Transactions on Visualization and Computer Graphics ({InfoVis} '13)},
	author = {Gratzl, Samuel and Lex, Alexander and Gehlenborg, Nils and Pfister, Hanspeter and Streit, Marc},
	year = {2013},
	keywords = {data visualization, Inhomogeneous data, multiform visualization., multiple coordinated views, Nonhomogeneous media, Semantics},
	pages = {2277--2286},
	file = {Gratzl et al. - 2013 - LineUp Visual Analysis of Multi-Attribute Ranking.pdf:D\:\\profiles\\Zotero\\storage\\JFQ3V7UC\\Gratzl et al. - 2013 - LineUp Visual Analysis of Multi-Attribute Ranking.pdf:application/pdf}
}

@article{lex_entourage:_2013,
	title = {Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets},
	volume = {19},
	issn = {1077-2626},
	shorttitle = {Entourage},
	doi = {10.1109/TVCG.2013.154},
	abstract = {Biological pathway maps are highly relevant tools for many tasks in molecular biology. They reduce the complexity of the overall biological network by partitioning it into smaller manageable parts. While this reduction of complexity is their biggest strength, it is, at the same time, their biggest weakness. By removing what is deemed not important for the primary function of the pathway, biologists lose the ability to follow and understand cross-talks between pathways. Considering these cross-talks is, however, critical in many analysis scenarios, such as, judging effects of drugs.
In this paper we introduce Entourage, a novel visualization technique that provides contextual information lost due to the artificial partitioning of the biological network, but at the same time limits the presented information to what is relevant to the analyst's task. We use one pathway map as the focus of an analysis and allow a larger set of contextual pathways. For these context pathways we only show the contextual subsets, i.e., the parts of the graph that are relevant to a selection. Entourage suggests related pathways based on similarities and highlights parts of a pathway that are interesting in terms of mapped experimental data. We visualize interdependencies between pathways using stubs of visual links, which we found effective yet not obtrusive. By combining this approach with visualization of experimental data, we can provide domain experts with a highly valuable tool.
We demonstrate the utility of Entourage with case studies conducted with a biochemist who researches the effects of drugs on pathways. We show that the technique is well suited to investigate interdependencies between pathways and to analyze, understand, and predict the effect that drugs have on different cell types.},
	language = {English},
	number = {12},
	journal = {{IEEE} Transactions on Visualization and Computer Graphics ({InfoVis} '13)},
	author = {Lex, Alexander and Partl, Christian and Kalkofen, Denis and Streit, Marc and Gratzl, Samuel and Wasserman, Anne Mai and Schmalstieg, Dieter and Pfister, Hanspeter},
	year = {2013},
	keywords = {data visualization, Inhomogeneous data, multiform visualization., multiple coordinated views, Nonhomogeneous media, Semantics},
	pages = {2536--2545},
	file = {Lex et al. - 2013 - Entourage Visualizing Relationships between Biolo.pdf:D\:\\profiles\\Zotero\\storage\\A8GW5ABT\\Lex et al. - 2013 - Entourage Visualizing Relationships between Biolo.pdf:application/pdf}
}

@article{gratzl_domino:_2014,
	title = {Domino: Extracting, Comparing, and Manipulating Subsets across Multiple Tabular Datasets},
	volume = {20},
	issn = {1077-2626},
	shorttitle = {Domino},
	doi = {10.1109/TVCG.2014.2346260},
	abstract = {Answering questions about complex issues often requires analysts to take into account information contained in multiple interconnected datasets. A common strategy in analyzing and visualizing large and heterogeneous data is dividing it into meaningful subsets. Interesting subsets can then be selected and the associated data and the relationships between the subsets visualized. However, neither the extraction and manipulation nor the comparison of subsets is well supported by state-of-the-art techniques. In this paper we present Domino, a novel multiform visualization technique for effectively representing subsets and the relationships between them. By providing comprehensive tools to arrange, combine, and extract subsets, Domino allows users to create both common visualization techniques and advanced visualizations tailored to specific use cases. In addition to the novel technique, we present an implementation that enables analysts to manage the wide range of options that our approach offers. Innovative interactive features such as placeholders and live previews support rapid creation of complex analysis setups. We introduce the technique and the implementation using a simple example and demonstrate scalability and effectiveness in a use case from the field of cancer genomics.},
	language = {English},
	number = {12},
	journal = {{IEEE} Transactions on Visualization and Computer Graphics ({InfoVis} '14)},
	author = {Gratzl, Samuel and Gehlenborg, Nils and Lex, Alexander and Pfister, Hanspeter and Streit, Marc},
	year = {2014},
	keywords = {Biomedical measurements, Cancer, Cancer genomics, categorical data, complex analysis setups, data visualisation, data visualization, Distributed databases, Domino, Genomics, heterogeneous data, heterogeneous data visualization, Inhomogeneous data, innovative interactive features, interactive systems, interconnected datasets, multiform visualization technique, multiform visualization., multiple coordinated views, multiple tabular datasets, Nonhomogeneous media, relationships, Semantics, set theory, subset comparison, subset extraction, subset manipulation, subset visualization, visual linking},
	pages = {2023--2032},
	file = {Gratzl et al. - 2014 - Domino Extracting, Comparing, and Manipulating Su.pdf:D\:\\profiles\\Zotero\\storage\\X4DVRMEP\\Gratzl et al. - 2014 - Domino Extracting, Comparing, and Manipulating Su.pdf:application/pdf;IEEE Xplore Abstract Record:D\:\\profiles\\Zotero\\storage\\EITDNCG5\\articleDetails.html:text/html}
}

@article{muhlbacher_opening_2014,
	title = {Opening the Black Box: Strategies for Increased User Involvement in Existing Algorithm Implementations},
	volume = {20},
	issn = {1077-2626},
	shorttitle = {Opening the Black Box},
	doi = {10.1109/TVCG.2014.2346578},
	abstract = {An increasing number of interactive visualization tools stress the integration with computational software like {MATLAB} and R to access a variety of proven algorithms. In many cases, however, the algorithms are used as black boxes that run to completion in isolation which contradicts the needs of interactive data exploration. This paper structures, formalizes, and discusses possibilities to enable user involvement in ongoing computations. Based on a structured characterization of needs regarding intermediate feedback and control, the main contribution is a formalization and comparison of strategies for achieving user involvement for algorithms with different characteristics. In the context of integration, we describe considerations for implementing these strategies either as part of the visualization tool or as part of the algorithm, and we identify requirements and guidelines for the design of algorithmic {APIs}. To assess the practical applicability, we provide a survey of frequently used algorithm implementations within R regarding the fulfillment of these guidelines. While echoing previous calls for analysis modules which support data exploration more directly, we conclude that a range of pragmatic options for enabling user involvement in ongoing computations exists on both the visualization and algorithm side and should be used.},
	number = {12},
	journal = {{IEEE} Transactions on Visualization and Computer Graphics ({VAST} '14)},
	author = {Muhlbacher, Thomas and Piringer, Harald and Gratzl, Samuel and Sedlmair, Michael and Streit, Marc},
	year = {2014},
	keywords = {Algorithm design and analysis, algorithmic {API}, application program interfaces, Approximation algorithms, black boxes, Complexity theory, Context, data exploration, data visualisation, data visualization, human computer interaction, Inhomogeneous data, integration, interactive algorithms, interactive systems, interactive visualization tools, multiform visualization., multiple coordinated views, Nonhomogeneous media, problem subdivision, Semantics, Software algorithms, user involvement, Visual analytics infrastructures, visualization},
	pages = {1643--1652},
	file = {IEEE Xplore Abstract Record:D\:\\profiles\\Zotero\\storage\\IFJIIG76\\articleDetails.html:text/html;Muhlbacher et al. - 2014 - Opening the Black Box Strategies for Increased Us.pdf:D\:\\profiles\\Zotero\\storage\\3ERJPG5V\\Muhlbacher et al. - 2014 - Opening the Black Box Strategies for Increased Us.pdf:application/pdf}
}

@article{streit_furby:_2014,
	title = {Furby: Fuzzy Force-Directed Bicluster Visualization},
	volume = {15},
	issn = {1471-2105},
	shorttitle = {Furby},
	url = {http://www.biomedcentral.com/qc/1471-2105/15/S6/S4},
	doi = {10.1186/1471-2105-15-S6-S4},
	language = {en},
	number = {Suppl 6},
	urldate = {2014-05-16},
	journal = {{BMC} Bioinformatics},
	author = {Streit, Marc and Gratzl, Samuel and Gillhofer, Michael and Mayr, Andreas and Mitterecker, Andreas and Hochreiter, Sepp},
	year = {2014},
	pages = {S4},
	file = {Streit et al. - 2014 - Furby Fuzzy Force-Directed Bicluster Visualizatio.html:D\:\\profiles\\Zotero\\storage\\U7CJZVFQ\\Streit et al. - 2014 - Furby Fuzzy Force-Directed Bicluster Visualizatio.html:text/html;Streit et al. - 2014 - Furby Fuzzy Force-Directed Bicluster Visualizatio.pdf:D\:\\profiles\\Zotero\\storage\\QRHKPX2K\\Streit et al. - 2014 - Furby Fuzzy Force-Directed Bicluster Visualizatio.pdf:application/pdf}
}

@article{streit_guided_2014,
	title = {Guided visual exploration of genomic stratifications in cancer},
	volume = {11},
	copyright = {© 2014 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
	issn = {1548-7091},
	url = {http://www.nature.com/nmeth/journal/v11/n9/full/nmeth.3088.html},
	doi = {10.1038/nmeth.3088},
	language = {en},
	number = {9},
	urldate = {2014-08-29},
	journal = {Nature Methods},
	author = {Streit, Marc and Lex, Alexander and Gratzl, Samuel and Partl, Christian and Schmalstieg, Dieter and Pfister, Hanspeter and Park, Peter J. and Gehlenborg, Nils},
	year = {2014},
	note = {{PMC}4196637},
	pages = {884--885},
	file = {Streit et al. - 2014 - Guided visual exploration of genomic stratificatio.html:D\:\\profiles\\Zotero\\storage\\P9XGTASF\\Streit et al. - 2014 - Guided visual exploration of genomic stratificatio.html:text/html;Streit et al. - 2014 - Guided visual exploration of genomic stratificatio.pdf:D\:\\profiles\\Zotero\\storage\\FCCUHPI3\\Streit et al. - 2014 - Guided visual exploration of genomic stratificatio.pdf:application/pdf}
}

@inproceedings{stitz_transparent_2014,
	title = {Transparent Layering for Visualizing Dynamic Graphs Using the Flip Book Metaphor},
	booktitle = {Poster Compendium of the {IEEE} {VIS} Conference},
	publisher = {{IEEE} Computer Society Press},
	author = {Stitz, Holger and Gratzl, Samuel and Luger, Stefan and Gehlenborg, Nils and Streit, Marc},
	year = {2014}
}

@inproceedings{gratzl_caleydo_2015,
	title = {Caleydo {Web}: {An} {Integrated} {Visual} {Analysis} {Platform} for {Biomedical} {Data}},
	booktitle = {Poster {Compendium} of the {IEEE} {Conference} on {Information} {Visualization} ({InfoVis} '15)},
	publisher = {IEEE},
	author = {Gratzl, Samuel and Gehlenborg, Nils and Lex, Alexander and Strobelt, Hendrik and Partl, Christian and Streit, Marc},
	year = {2015},
	file = {Gratzl et al. - 2015 - Caleydo Web An Integrated Visual Analysis Platfor.pdf:D\:\\profiles\\zotero\\storage\\J3GIDNK8\\Gratzl et al. - 2015 - Caleydo Web An Integrated Visual Analysis Platfor.pdf:application/pdf}
}

@inproceedings{luger_interactive_2015,
	title = {Interactive {Visualization} of {Provenance} {Graphs} for {Reproducible} {Biomedical} {Research}},
	booktitle = {Poster {Compendium} of the {IEEE} {Conference} on {Information} {Visualization} ({InfoVis} '15)},
	publisher = {IEEE},
	author = {Luger, Stefan and Stitz, Holger and Gratzl, Samuel and Gehlenborg, Nils and Streit, Marc},
	year = {2015},
	file = {Luger et al. - 2015 - Interactive Visualization of Provenance Graphs for.pdf:D\:\\profiles\\zotero\\storage\\FF8PRCIM\\Luger et al. - 2015 - Interactive Visualization of Provenance Graphs for.pdf:application/pdf}
}

@inproceedings{partl_pathfinder:_2015,
	title = {Pathfinder: {Visual} {Analysis} of {Paths} in {Heterogeneous} {Graphs}},
	booktitle = {Poster {Compendium} of the {IEEE} {Sympoisum} on {Visualization} in {Data} {Science} ({VDS} '15)},
	publisher = {IEEE},
	author = {Partl, Christian and Gratzl, Samuel and Streit, Marc and Pfister, Hanspeter and Schmalstieg, Dieter and Lex, Alexander},
	year = {2015}
}

@inproceedings{stitz_thermalplot:_2015,
	title = {{ThermalPlot}: {Visualizing} {Multi}-{Attribute} {Time}-{Series} {Data} {Using} a {Thermal} {Metaphor}},
	booktitle = {Poster {Compendium} of the {IEEE} {Conference} on {Information} {Visualization} ({InfoVis} '15)},
	publisher = {IEEE},
	author = {Stitz, Holger and Gratzl, Samuel and Aigner, Wolfgang and Streit, Marc},
	year = {2015},
	file = {Stitz et al. - 2015 - ThermalPlot Visualizing Multi-Attribute Time-Seri.pdf:D\:\\profiles\\zotero\\storage\\88QPCF4S\\Stitz et al. - 2015 - ThermalPlot Visualizing Multi-Attribute Time-Seri.pdf:application/pdf}
}

@inproceedings{stitz_cloudgazer:_2015,
	title = {{CloudGazer}: {A} {Divide}-and-{Conquer} {Approach} for {Monitoring} and {Optimizing} {Cloud}-{Based} {Networks}},
	doi = {10.1109/PACIFICVIS.2015.7156375},
	booktitle = {Proceedings of the {IEEE} {Pacific} {Visualization} {Symposium} ({PacificVis} '15)},
	publisher = {IEEE},
	author = {Stitz, Holger and Gratzl, Samuel and Krieger, Michael and Streit, Marc},
	year = {2015},
	pages = {175--182},
	file = {Stitz et al. - 2015 - CloudGazer A Divide-and-Conquer Approach for Moni.pdf:D\:\\profiles\\zotero\\storage\\CSNSR7DS\\Stitz et al. - 2015 - CloudGazer A Divide-and-Conquer Approach for Moni.pdf:application/pdf}
}

@article{gratzl_visual_2016,
	title = {From {Visual} {Exploration} to {Storytelling} and {Back} {Again}},
	journal = {Computer Graphics Forum (EuroVis '16)},
	author = {Gratzl, Samuel and Lex, Alexander and Gehlenborg, Nils and Cosgrove, Nicola and Streit, Marc},
	year = {2016}
}

@article{partl_pathfinder:_2016,
	title = {Pathfinder: {Visual} {Analysis} of {Paths} in {Graphs}},
	journal = {Computer Graphics Forum (EuroVis '16)},
	author = {Partl, Christian and Gratzl, Samuel and Streit, Marc and Wassermann, Anne Mai and Pfister, Hanspeter and Schmalstieg, Dieter and Lex, Alexander},
	year = {2016}
}

@article{stitz_thermalplot:_2016,
	title = {{ThermalPlot}: {Visualizing} {Multi}-{Attribute} {Time}-{Series} {Data} {Using} a {Thermal} {Metaphor}},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	author = {Stitz, Holger and Gratzl, Samuel and Aigner, Wolfgang and Streit, Marc},
	year = {2016}
}

@article{2019_bioinformatics_ordino,
  title = {Ordino: visual analysis tool for ranking and exploring genes, cell lines, and tissue samples},
  author = {Marc Streit and Samuel Gratzl and Holger Stitz and Andreas Wernitznig and Thomas Zichner and Christian Haslinger},
  journal = {Bioinformatics},
  publisher = {Oxford University Press},
  doi = {10.1093/bioinformatics/btz009},
  volume = {35},
  number = {17},
  pages = {3140-3142},
  year = {2019}
}

@article {streit_ordino_2018,
	author = {Streit, Marc and Gratzl, Samuel and Stitz, Holger and Wernitznig, Andreas and Zichner, Thomas and Haslinger, Christian},
	title = {Ordino: a visual analysis tool for ranking and exploring genes, cell lines, and tissue samples},
	year = {2018},
	doi = {10.1101/277848},
	publisher = {Cold Spring Harbor Laboratory},
	abstract = {Ordino is a web-based analysis tool for cancer genomics that allows users to flexibly rank, filter, and explore genes, cell lines, and tissue samples based on pre-loaded data, including The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE), as well as manually uploaded information. A core component of Ordino is an interactive tabular data visualization that facilitates the user-driven prioritization process. Detail views of selected items complement the exploration. Findings can be stored, shared, and reproduced via the integrated session management. Availability and Implementation: Ordino is publicly available at https://ordino.caleydoapp.org. The source code is released at https://github.com/Caleydo/ordino.},
	URL = {https://www.biorxiv.org/content/early/2018/08/10/277848},
	eprint = {https://www.biorxiv.org/content/early/2018/08/10/277848.full.pdf},
	journal = {bioRxiv}
}

@article{furmanova_taggle_2017,
  author    = {Katarina Furmanova and
               Samuel Gratzl and
               Holger Stitz and
               Thomas Zichner and
               Miroslava Jaresov{\'{a}} and
               Martin Ennemoser and
               Alexander Lex and
               Marc Streit},
  title     = {Taggle: Scalable Visualization of Tabular Data through Aggregation},
  journal   = {CoRR},
  volume    = {abs/1712.05944},
  year      = {2017},
  url       = {http://arxiv.org/abs/1712.05944},
  archivePrefix = {arXiv},
  eprint    = {1712.05944},
  timestamp = {Mon, 13 Aug 2018 16:47:00 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1712-05944},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{stitz_knowledgepearls_2018,
	title = {{KnowledgePearls}: {Provenance}-{Based Visualization} {Retrieval}},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	author = {Stitz, Holger and Gratzl, Samuel and Piringer, Harald and Streit, Marc},
	year = {2018}
}

@article{2019_sage_infovis_taggle,
  title = {Taggle: Combining Overview and Details in Tabular Data Visualizations},
  author = {Katarina Furmanova and Samuel Gratzl and Holger Stitz and Thomas Zichner and Miroslava Jaresova and Martin Ennemoser and Alexander Lex and Marc Streit},
  journal = {Information Visualization},
  publisher = {Sage},
  doi = {10.1177/1473871619878085},
  year = {2019}
}

@article{2014_infovis_upset,
  title = {UpSet: Visualization of Intersecting Sets},
  author = {Alexander Lex and Nils Gehlenborg and Hendrik Strobelt and Romain Vuillemot and Hanspeter Pfister},
  journal = {IEEE Transactions on Visualization and Computer Graphics (InfoVis '14)},
  doi = {10.1109/TVCG.2014.2346248},
  volume = {20},
  number = {12},
  pages = {1983--1992},
  year = {2014}
}

@INPROCEEDINGS{Nethercote07minizinc:towards,
    author = {Nicholas Nethercote and Peter J. Stuckey and Ralph Becket and Sebastian Brand and Gregory J. Duck and Guido Tack},
    title = {MiniZinc: Towards a standard CP modelling language},
    booktitle = {Proc. of 13th International Conference on Principles and Practice of Constraint Programming},
    year = {2007},
    pages = {529--543},
    publisher = {Springer}
}

@inproceedings{2020_visarch,
title = "VisArch: visualisation of performance-based architectural refactorings",
abstract = "Evaluating the performance characteristics of software architectures is not trivial since many factors, such as workload fluctuations and service failures, contribute to large variations. To reduce the impact of these factors, architectures are refactored so that their design becomes more robust and less prone to performance violations. This paper proposes an approach for visualizing the impact, from a performance perspective, of different performance-based architectural refactorings that are inherited by the specification of performance antipatterns. A case study including 64 performance-based architectural refactorings is adopted to illustrate how the visual representation supports software architects in the evaluation of different architecture design alternatives.",
keywords = "Software architecture, Performance, Visualisation",
author = "Catia Trubiani and Aldeida Aleti and Sarah Goodwin and Pooyan Jamshidi and {van Hoorn}, Andr{\'e} and Samuel Gratzl",
year = "2020",
doi = "10.1007/978-3-030-58923-3_12",
language = "English",
isbn = "9783030589226",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "182--190",
editor = "Jansen, {Anton } and Ivano Malavolta and Muccini, {Henry } and Ipek Ozkaya and Olaf Zimmermann",
booktitle = "Software Architecture",
note = "European Conference on Software Architecture 2020, ECSA 2020 ; Conference date: 14-09-2020 Through 18-09-2020",
url = "https://link.springer.com/book/10.1007/978-3-030-58923-3, https://ecsa2020.disim.univaq.it, https://research.monash.edu/en/publications/visarch-visualisation-of-performance-based-architectural-refactor",
}

@article{2020_materialnet,
  doi = {10.21105/joss.02105},
  year = {2020},
  volume = {5},
  number = {47},
  pages = {2105},
  author = {Roni Choudhury and Muratahan Aykol and Samuel Gratzl and Joseph Montoya and Jens Hummelshøj},
  title = {MaterialNet: A web-based graph explorer for materials science data},
  journal = {Journal of Open Source Software}
}

@article{2020_viime,
  doi = {10.21105/joss.02410},
  year = {2020},
  volume = {5},
  number = {54},
  pages = {2410},
  author = {Roni Choudhury and Jon Beezley and Brandon Davis and Jared Tomeck and Samuel Gratzl and Lilian Golzarri-Arroyo and Jun Wan and Daniel Raftery and Jeff Baumes and Thomas M. O'Connell},
  title = {Viime: Visualization and Integration of Metabolomics Experiments},
  journal = {Journal of Open Source Software}
}

@ARTICLE{2020_uplift,
  author={B. {Ens} and S. {Goodwin} and A. {Prouzeau} and F. {Anderson} and F. Y. {Wang} and S. {Gratzl} and Z. {Lucarelli} and B. {Moyle} and J. {Smiley} and T. {Dwyer}},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  title={Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics},
  year={2020},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TVCG.2020.3030334}
 }

@ARTICLE{2020_optimization,
  author={Jie {Liu} and Tim {Dwyer} and Guido {Tack} and Samuel {Gratzl} and Kim {Marriott}},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  title={Supporting the Problem-Solving Loop: Designing Highly Interactive Optimisation Systems},
  year={2020},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TVCG.2020.3030364}}

@article {Reinhart2021.07.12.21259660,
	author = {Reinhart, Alex and Brooks, Logan and Jahja, Maria and Rumack, Aaron and Tang, Jingjing and Agrawal, Sumit and Al Saeed, Wael and Arnold, Taylor and Basu, Amartya and Bien, Jacob and Cabrera, {\'A}ngel A. and Chin, Andrew and Chua, Eu Jing and Clark, Brian and Colquhoun, Sarah and DeFries, Nat and Farrow, David C. and Forlizzi, Jodi and Grabman, Jed and Gratzl, Samuel and Green, Alden and Haff, George and Han, Robin and Harwood, Kate and Hu, Addison J. and Hyde, Raphael and Hyun, Sangwon and Joshi, Ananya and Kim, Jimi and Kuznetsov, Andrew and La Motte-Kerr, Wichada and Lee, Yeon Jin and Lee, Kenneth and Lipton, Zachary C. and Liu, Michael X. and Mackey, Lester and Mazaitis, Kathryn and McDonald, Daniel J. and McGuinness, Phillip and Narasimhan, Balasubramanian and O{\textquoteright}Brien, Michael P. and Oliveira, Natalia L. and Patil, Pratik and Perer, Adam and Politsch, Collin A. and Rajanala, Samyak and Rucker, Dawn and Scott, Chris and Shah, Nigam H. and Shankar, Vishnu and Sharpnack, James and Shemetov, Dmitry and Simon, Noah and Smith, Benjamin Y. and Srivastava, Vishakha and Tan, Shuyi and Tibshirani, Robert and Tuzhilina, Elena and Van Nortwick, Ana Karina and Ventura, Val{\'e}rie and Wasserman, Larry and Weaver, Benjamin and Weiss, Jeremy C. and Whitman, Spencer and Williams, Kristin and Rosenfeld, Roni and Tibshirani, Ryan J.},
	title = {An open repository of real-time COVID-19 indicators},
	volume = {118},
	number = {51},
	elocation-id = {e2111452118},
	year = {2021},
	doi = {10.1073/pnas.2111452118},
	publisher = {National Academy of Sciences},
	abstract = {To study the COVID-19 pandemic, its effects on society, and measures for reducing its spread, researchers need detailed data on the course of the pandemic. Standard public health data streams suffer inconsistent reporting and frequent, unexpected revisions. They also miss other aspects of a population{\textquoteright}s behavior that are worthy of consideration. We present an open database of COVID signals in the United States, measured at the county level and updated daily. This includes traditionally reported COVID cases and deaths, and many others: measures of mobility, social distancing, internet search trends, self-reported symptoms, and patterns of COVID-related activity in deidentified medical insurance claims. The database provides all signals in a common, easy-to-use format, empowering both public health research and operational decision-making.The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.All COVIDcast signals described have been deposited in the publicly available COVIDcast API (https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html). Code to replicate these results have been deposited at Zenodo (41).},
	issn = {0027-8424},
	URL = {https://www.pnas.org/content/118/51/e2111452118},
	eprint = {https://www.pnas.org/content/118/51/e2111452118.full.pdf},
	journal = {Proceedings of the National Academy of Sciences}
}


text:
@Book{dunn2018,
  title= {Generalized Linear Models With Examples in R},
  author = {Peter K. Dunn, Gordon K. Smyth},
  publisher = {Springer Science and Business Media}
  address = {New York, New York}
  year = {2018}
  edition = {1st}
  note = {ISBN 9781441901170}
}

gha_language: HTML


text:
DESCRIPTION = "Odyssey 2 / Videopac emu - O2EM port for libretro"

LICENSE = "Artistic-2.0"
LIC_FILES_CHKSUM = "file://COPYING;md5=644d36008177e116829e23185f125968"

inherit libretro

LIBRETRO_GIT_REPO = "github.com/libretro/libretro-o2em.git"


text:
require mpmd.inc
require uhd_4.1_src.inc

LIC_FILES_CHKSUM = "file://../host/LICENSE;md5=8255adf1069294c928e0e18b01a16282"

repository: EttusResearch/meta-ettus

repo_name: EttusResearch/meta-ettus

branch_name: refs/heads/zeus


text:
#
# qemu-bios-native
#
# This recipe provide BIOS images for qemu-native.
#
# Currently, qemu source package in Debian doesn't include BIOS images
# and tricky implementation is needed for cross-compiling BIOS images from
# several source packages like "openbios" and "seabios" by native recipes :-(
#
# Therefore, we TEMPORALLY use this recipe only for getting
# the BIOS images from vanilla qemu source.
# This should be replaced by only Debian sources in future.
#

PR = "r0"

inherit native

SRC_URI = "${MISC_GIT_URI}/${MISC_GIT_PREFIX}qemu.git;protocol=${MISC_GIT_PROTOCOL};branch=stable-2.1"
SRCREV = "c2b0926634cda378f634be62c616afbf03ca5890"
PV = "2.1.3+git${SRCPV}"

LICENSE = "GPLv2 & LGPLv2.1"
LIC_FILES_CHKSUM = " \
file://COPYING;md5=441c28d2cf86e15a37fa47e15a72fbac \
file://COPYING.LIB;endline=24;md5=c04def7ae38850e7d3ef548588159913 \
"

S = "${WORKDIR}/git"

# comes from ${S}/Makefile, the list of firmware blobs
BLOBS = " \
bios.bin sgabios.bin vgabios.bin vgabios-cirrus.bin \
vgabios-stdvga.bin vgabios-vmware.bin vgabios-qxl.bin \
acpi-dsdt.aml q35-acpi-dsdt.aml \
ppc_rom.bin openbios-sparc32 openbios-sparc64 openbios-ppc QEMU,tcx.bin \
pxe-e1000.rom pxe-eepro100.rom pxe-ne2k_pci.rom \
pxe-pcnet.rom pxe-rtl8139.rom pxe-virtio.rom \
efi-e1000.rom efi-eepro100.rom efi-ne2k_pci.rom \
efi-pcnet.rom efi-rtl8139.rom efi-virtio.rom \
qemu-icon.bmp qemu_logo_no_text.svg \
bamboo.dtb petalogix-s3adsp1800.dtb petalogix-ml605.dtb \
multiboot.bin linuxboot.bin kvmvapic.bin \
s390-zipl.rom \
s390-ccw.img \
spapr-rtas.bin slof.bin \
palcode-clipper \
"

do_configure() {
	:
}

do_compile() {
	:
}

do_install() {
	install -d ${D}${datadir}/qemu
	for blob in ${BLOBS}; do
		install -m 0644 ${S}/pc-bios/${blob} ${D}${datadir}/qemu
	done
}

repository: nghiaht-tsdv/meta-debian

repo_name: nghiaht-tsdv/meta-debian

branch_name: refs/heads/jethro


text:
inherit pypi setuptools
require python-azure-cli-container.inc

RDEPENDS_${PN} += "\
    ${PYTHON_PN}-io \
"

repository: DasRoteSkelett/meta-iot-cloud

repo_name: DasRoteSkelett/meta-iot-cloud


text:
DESCRIPTION = "Analytics demo descriptions for Matrix v2"

require recipes-core/matrix/matrix-gui-apps-git.inc

PR = "${INC_PR}.0"

inherit allarch

S = "${WORKDIR}/git/analytics_apps"

# Make sure analytics submenu and app images has been installed
ANALYTICSDEMO_RDEPENDS += "matrix-gui-apps-images matrix-gui-submenus-analytics"

FILES_${PN} += "${MATRIX_BASE_DIR}/*"

PACKAGES = "matrix-analytics-pdm-anomaly-detection \
"

RDEPENDS_matrix-analytics-pdm-anomaly-detection = " \
    bash \
    ${ANALYTICSDEMO_RDEPENDS} \
    pdm-anomaly-detection \
"

FILES_matrix-analytics-pdm-anomaly-detection = "${MATRIX_APP_DIR}/analytics_pdm_anomaly_detection/*"
FILES_matrix-analytics-pdm-anomaly-detection += "${bindir}/runPdmAnomalyDetection.sh"


text:
# Copyright (C) 2015 Jonathan Müller <jonathanmueller.dev@gmail.com>
# This file is subject to the license terms in the LICENSE file
# found in the top-level directory of this distribution.

comp_check_feature("int main() {constexpr int foo = 1;}" constexpr "${cpp11_flag}")
comp_gen_header(constexpr
"
#ifndef ${COMP_PREFIX}CONSTEXPR
    #if ${COMP_PREFIX}HAS_CONSTEXPR
        #define ${COMP_PREFIX}CONSTEXPR constexpr
    #else
        #define ${COMP_PREFIX}CONSTEXPR const
    #endif
#endif

#ifndef ${COMP_PREFIX}CONSTEXPR_FNC
    #if ${COMP_PREFIX}HAS_CONSTEXPR
        #define ${COMP_PREFIX}CONSTEXPR_FNC constexpr
    #else
        #define ${COMP_PREFIX}CONSTEXPR_FNC inline
    #endif
#endif
")

license: Zlib

repository: jkhoogland/compatibility

repo_name: jkhoogland/compatibility

extension: cmake


text:
SECTION = "devel/chicken"
DESCRIPTION = "POSIX Semaphores"
LICENSE = "BSD-3-Clause"
LIC_FILES_CHKSUM = "file://posix-semaphore.meta;md5=3e7621fc448a97e15d59b1cbb81f49ac"

SRC_URI = "http://code.call-cc.org/egg-tarballs/4/posix-semaphore/posix-semaphore-${PV}.tar.gz"

SRC_URI[md5sum] = "b10870e14344f9f59c6079626b2dd489"
SRC_URI[sha256sum] = "4fd9274479408fe195a303f7ec65debe0bb94e641959ebe6c9faa55bc405ed7d"

S = "${WORKDIR}/posix-semaphore-${PV}"

inherit chicken_install

BBCLASSEXTEND = "cross crosssdk nativesdk"

repository: OSSystems/meta-chicken

repo_name: OSSystems/meta-chicken


text:
require bug-app.inc

DESCRIPTION = "v1.0.9 - May 20, 2008\
Throttled motion events to a maximum of one every 10 seconds (defined by BUGerApplication.MIN_EVENT_SPACING_MS), as on the real bug you could get a large number of events in a short time frame otherwise.\
\
v1.0.8 - Apr 30, 2008\
Tested on a real bug\
Updated to use com.buglabs.bug.base.pub.ITimeProvider now that the SDK (I'm using production 1.0.0.5) has switched to making that available again.\
Made initial webpage show image at reduced size with link to full size image\
\
v1.0.7 - Feb 12, 2008\
Removed explicit reference and inclusion of servlet.jar now that it's available in the SDK (was necessary with older versions of the SDK).\
Added stop() method on BUGerServlet that gets called by BUGerApplication on shutdown. stop() unregisters the HTTP resources previously registered in the servlet's ctor, so that if you remove a module the app is dependent on (camera or motion detector) and then reinsert it, the app will restart properly.\
\
v1.0.6 - Feb 1, 2008\
Got dynamic image display working, so now the images captured when motion is detected will be displayed on the webpage (which was kind of the whole point of this app in the first place).\
v1.0.5 - Jan 31, 2008\
Added a logo. This serves as an example of how you can include static images in pages served up by a Servlet on the bug.\
v1.0.4 - Jan 31, 2008\
Fixed the servlet side to point to the log file in its new place. (It was still pointing to the old place in 1.0.3).\
v1.0.3 - Jan 29, 2008\
Updated to use BundleContext.getDataFile to store log file and images in OSGi-designated persistent storage rather than just in the current working directory. This should now do the right thing on the real Bug too. See this forum article for background information.\
v1.0.2 - Jan 26, 2008\
Changed references to com.buglabs.bug.base.pub. to com.buglabs.bug.emulator.base.pub.* because the package got renamed and so references to ITimeProvider in the app could no longer be resolved.\
v1.0.1\
Updated to use Ken's servlet.jar from the SimpleServlet app instead of the one from my eclipse plugin dir.\
v1.0.0\
Notes:\
This version is using javax.servlet_2.4.0.v200706111738.jar from my eclipse plugin directory for now, until the one in the SDK is working. See Ken's post from 8:38 Oct 15th on this forum post\
The ALT attribute of the IMG tag shows up for now rather than the actual image, because the servlet container doesn't support static resources at this point. When it does I can fix the path to the image and you should be able to see it. See this forum post\
The log file will be created in your current working directory (when you start eclipse or the VirtualBUG) and is called buger.BUGerApplication.log. Images named the-time-as-a-long.jpg will also be created in the same directory.\
\
Instructions:\
Start the VirtualBUG.\
Enable the MOTION and CAMERA services.\
Turn on motion tracking by selecting the Enable Logging option on the BUG menu. To do this press DOWN then RIGHT (to Services), RIGHT (to Programs), RIGHT (to Modules) RIGHT (to Enable Logging) then DOWN (to actually enable logging). You should see BUGerApplication enabled - motion tracker activated in your Eclipse BUG console.\
Fake motion by entering motion in the console and hitting return a few times. Each time you do this you should see a message like :BUGerApplication motion detected at Mon Oct 15 21:44:18 EDT 2007.\
Point your browser at http://localhost:8082/buger\
With any luck, you should see a page similar to the one above.\
\
"
HOMEPAGE = "http://buglabs.net/applications/BUGer"

DEPENDS += "com.buglabs.bug.base com.buglabs.bug.menu com.buglabs.bug.module.camera com.buglabs.bug.module.motion com.buglabs.common com.buglabs.osgi com.buglabs.osgi.http com.sun.javax.servlet service-tracker "

PV = "12"

SRC_LINK = "http://buglabs.net/program_version/download/606"

APIVERSION = ""

repository: overo/overo-oe-natty

repo_name: overo/overo-oe-natty

branch_name: HEAD


text:
.ui-sliding-content li {
  list-style-type: none;
}

.ui-sliding-next, .ui-sliding-prev {
  float: left;
  display: block;
  margin: 5px;
  padding: 4px 0;
}

.ui-sliding-navigation {
  overflow: hidden;
}

repository: alexanmtz/sliding

repo_name: alexanmtz/sliding

gha_language: JavaScript


text:
DEFAULT_PREFERENCE = "-1"

require qt4-tools-native.inc
LICENSE = "LGPLv2.1 GPLv3"

DEPENDS += "libxau-native libxdmcp-native"

SRCVER = "4.7.0-beta2"
PV = "4.6.3+${SRCVER}"
PR = "${INC_PR}.0"

SRC_URI = "ftp://ftp.trolltech.com/qt/source/qt-everywhere-opensource-src-${SRCVER}.tar.gz \
           file://fix.xlib-test.libs.patch \
           file://qt-config.patch \
           file://g++.conf \
           file://linux.conf"
S = "${WORKDIR}/qt-everywhere-opensource-src-${SRCVER}"

EXTRA_OECONF += " -no-fast -silent -no-rpath"

TOBUILD := "src/tools/bootstrap ${TOBUILD}"

SRC_URI[md5sum] = "1449443c2d33ab9fefbd37b7104d0cdf"
SRC_URI[sha256sum] = "e0196ee11f683a4ec2e3f85e52ab2f2455886a3bb3b711489176f97ecb9aacbf"

repository: libo/openembedded

repo_name: libo/openembedded


text:
SUMMARY = "Open-source home automation platform running on Python 3"
HOMEPAGE = "https://home-assistant.io/"
SECTION = "devel/python"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE.md;md5=86d3f3a95c324c9479bd8986968f4327"

HOMEASSISTANT_CONFIG_DIR ?= "${localstatedir}/lib/homeassistant"
HOMEASSISTANT_CONFIG_DIR[doc] = "Configuration directory used by home-assistant."
HOMEASSISTANT_USER ?= "homeassistant"
HOMEASSISTANT_USER[doc] = "User the home-assistent service runs as."

inherit setuptools3 useradd update-rc.d systemd

inherit pypi

SRC_URI[md5sum] = "ab7cd14ea8657b03221d6550a6a54478"
SRC_URI[sha256sum] = "401df78a2e59697eb3ad35bd2008fa8d4b600a33743e2c0d246a17dd6b0110be"

SRC_URI += "\
    file://homeassistant.service \
    file://homeassistant.init \
    "

USERADD_PACKAGES = "${PN}"
GROUPADD_PARAM_${PN} = "homeassistant"
USERADD_PARAM_${PN} = "--system --home ${HOMEASSISTANT_CONFIG_DIR} \
                       --no-create-home --shell /bin/false \
                       --groups homeassistant,dialout --gid homeassistant ${HOMEASSISTANT_USER}"

INITSCRIPT_NAME = "homeassistant"

SYSTEMD_AUTO_ENABLE = "enable"
SYSTEMD_SERVICE_${PN} = "homeassistant.service"

do_install_append () {
    install -d -o ${HOMEASSISTANT_USER} -g homeassistant ${D}${HOMEASSISTANT_CONFIG_DIR}

    # Install init scripts and set correct config directory
    install -d ${D}${sysconfdir}/init.d
    install -m 0755 ${WORKDIR}/homeassistant.init  ${D}${sysconfdir}/init.d/homeassistant
    sed -i -e 's,@HOMEASSISTANT_CONFIG_DIR@,${HOMEASSISTANT_CONFIG_DIR},g'  ${D}${sysconfdir}/init.d/homeassistant
    sed -i -e 's,@HOMEASSISTANT_USER@,${HOMEASSISTANT_USER},g'  ${D}${sysconfdir}/init.d/homeassistant

    # Install systemd unit files and set correct config directory
    install -d ${D}${systemd_unitdir}/system
    install -m 0644 ${WORKDIR}/homeassistant.service ${D}${systemd_unitdir}/system
    sed -i -e 's,@HOMEASSISTANT_CONFIG_DIR@,${HOMEASSISTANT_CONFIG_DIR},g' ${D}${systemd_unitdir}/system/homeassistant.service
    sed -i -e 's,@HOMEASSISTANT_USER@,${HOMEASSISTANT_USER},g' ${D}${systemd_unitdir}/system/homeassistant.service
}

# Home Assistant core
RDEPENDS_${PN} = " \
    ${PYTHON_PN}-pyjwt (>=1.7.1) \
    ${PYTHON_PN}-aiohttp (>=3.5.4) \
    ${PYTHON_PN}-aiohttp-cors (>=0.7.0) \
    ${PYTHON_PN}-astral (>=1.10.1) \
    ${PYTHON_PN}-async-timeout (>=3.0.1) \
    ${PYTHON_PN}-attrs (>=19.1.0) \
    ${PYTHON_PN}-bcrypt (>=3.1.7) \
    ${PYTHON_PN}-certifi (>=2019.6.16) \
    ${PYTHON_PN}-cryptography (>=2.7) \
    ${PYTHON_PN}-distro (>=1.4.0) \
    ${PYTHON_PN}-importlib-metadata (>=0.19) \
    ${PYTHON_PN}-jinja2 (>=2.10.1) \
    ${PYTHON_PN}-netdisco (>=2.6.0) \
    ${PYTHON_PN}-pip (>=8.0.3) \
    ${PYTHON_PN}-python-slugify (>=3.0.3) \
    ${PYTHON_PN}-pytz (>=2019.02) \
    ${PYTHON_PN}-pyyaml (>=5.1.2) \
    ${PYTHON_PN}-requests (>=2.22.0) \
    ${PYTHON_PN}-ruamel-yaml (>=0.15.100) \
    ${PYTHON_PN}-sqlalchemy (>=1.3.7) \
    ${PYTHON_PN}-voluptuous-serialize (>=2.2.0) \
    ${PYTHON_PN}-voluptuous (>=0.11.7) \
    ${PYTHON_PN}-zeroconf (>=0.23.0) \
    ${PYTHON_PN}-pycryptodome (>=3.6.6) \
    ${PYTHON_PN}-hass-nabucasa (>=0.17) \
    \
    ${PYTHON_PN}-home-assistant-frontend (>=20190828.1) \
    \
    ${PYTHON_PN}-pycparser (>= 2.7) \
    ${PYTHON_PN}-modules \
    ${PYTHON_PN}-paho-mqtt \
"


text:
@article{Harper2005vn,
 abstract = {Use the word 'accessibility' in the presence of any HCI specialist and they will immediately think of creating open interfaces that can be accessed both visually and audibly. Further, mention 'accessability' to any forward thinking group of Web developers and they will start to quote the Web Accessability Initiative Guidelines (WAI) and extol the virtues of accessability checking tools like 'Bobby'. Either way, both groups will focus on the obviously important area of 'sensory translation' but will miss one fundamental truth; profoundly blind people interact with their environment in a markedly different way from that of sighted individuals. We have realized that the ease of movement (mobility) around systems and information space (the hypertext/Web docuverse) is central to good accessibility; and that to achieve this we require additional mobility semantics within systems and information as a way of enhancing the user experience. By adding small amounts of information to existing Web pages (semi-) automatically, we can show significant improvements in the amount of information profoundly blind users are able to access in a given time; in effect 'levelling the playing field' with sighted users. This paper discusses our work and demonstrates how we can make such a claim. },
 address = {London},
 author = {Harper, Simon and Goble, Carole and Stevens, Robert},
 doi = {http://dx.doi.org/10.1080/13614560500191220},
 editor = {Tudhope, Douglas and Et al, Daniel Cunliffe},
 issn = {1361-4568},
 journal = {New Review of Hypermedia and Multimedia},
 keywords = {Accessibility,Human Centred Web,TOWEL,Transcoding,Visually Impaired,Web Accessibility,Web Mobility},
 month = {jun},
 pages = {103--128},
 publisher = {Taylor and Francis},
 title = {Augmenting the Mobility of Profoundly Blind Web Travellers},
 url = {http://www.simonharper.info/publications/Harper2005vn.pdf},
 volume = {11 (1)},
 year = {2005}
}

repository: sharpic/academic-kickstart

repo_name: sharpic/academic-kickstart


text:
@incollection{Bulat2012,
 abstract = {Motion picture producers, providers and equipment developers have to deeply consider end user perception of the application being often expressed in terms of a capacious Quality of Experience (QoE) concept. QoE is affected across the whole application delivery chain including content digitisation and compression, its network delivery and reproduction. During recent years enormous research effort and massive tests have been performed in order to identify factors affecting QoE and develop their mapping to scales like Mean Opinion Score for 2D content. Today, the digital video world is on the eve of 3D imaging which is far more complex and sophisticated not only because of the involved technology but also due to the multi-factor nature of the overall 3D experience. This paper discusses the current state of the research on the emerging problem of the user perceived quality of 3D content.},
 author = {Bułat, Jarosław and Grega, Michał and Janowski, Lucjan and Juszka, Dawid and Leszczuk, Mikołaj and Papir, Zdzisław and Romaniak, Piotr},
 booktitle = {User Centric Media. UCMEDIA 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
 doi = {10.1007/978-3-642-35145-7_9},
 editor = {Alvarez, F. and Costa, C.},
  isbn = {9783642351440},
 issn = {18678211},
 keywords = {3D Video,QoE,Quality of Experience,quality metrics,subjective tests},
 pages = {69--75},
 publisher = {Springer Berlin Heidelberg},
 title = {Emerging Research Directions on 3D Video Quality Assessment},
 url = {http://link.springer.com/10.1007/978-3-642-35145-7_9},
 volume = {60 LNICST},
 year = {2012}
}

repository: djuszka/academic-kickstart

repo_name: djuszka/academic-kickstart


text:
SUMMARY = "XML infrastructure and XML catalog file support"
LICENSE = "GPLv2+"
LIC_FILES_CHKSUM = "file://debian/copyright;md5=786662a617fe8fe5f955258d11c2b135"

inherit debian-package
require recipes-debian/sources/xml-core.inc
DEBIAN_PATCH_TYPE = "quilt"
DEBIAN_QUILT_PATCHES = ""

do_configure[noexec] = "1"

inherit allarch

do_install() {
    oe_runmake "DESTDIR=${D}" install

    rm ${D}${bindir}/dh_installxmlcatalogs
    rmdir --ignore-fail-on-non-empty ${D}${bindir}
    rm -rf ${D}${datadir}/perl5
    rm -rf ${D}${datadir}/debhelper
    rm ${D}${mandir}/man1/dh_installxmlcatalogs.1
}

FILES_${PN} += " \
    /usr/local/share/xml/* \
    /usr/share/xml/* \
"

RDEPENDS_${PN} = "perl sgml-base"

repository: miraclelinux/meta-debian-extended

repo_name: miraclelinux/meta-debian-extended

branch_name: refs/heads/warrior


text:
@inproceedings{hu2020Deltadnn,
    author = {Z. {Hu} and X. {Zou} and W. {Xia} and S. {Jin} and D. {Tao} and Y. {Liu} and W. {Zhang} and Z. {Zhang}},
    booktitle = {Proceedings of 49th International Conference on Parallel Processing (ICPP'20)},
    title = {Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity},
    year = {2020},
    month = aug,
    address = {Edmonton, AB, Canada},
    pages={1-12},
    doi = {10.1145/3404397.3404408},
}


text:
@article{ifftConfortDoF,
  title={Reducing visual discomfort with HMDs using dynamic depth of field},
  author={Carnegie, Kieran and Rhee, Taehyun},
  journal={IEEE computer graphics and applications},
  volume={35},
  number={5},
  pages={34--41},
  year={2015},
  publisher={IEEE}
}
@article{disconfortReview,
	title={Causes of discomfort in stereoscopic content: a review},
	author={Terzic, Kasim and Hansard, Miles},
	journal={arXiv preprint arXiv:1703.04574},
	year={2017}
}
@article{vergenceDisconfort,
	title={Vergence--accommodation conflicts hinder visual performance and cause visual fatigue},
	author={Hoffman, David M and Girshick, Ahna R and Akeley, Kurt and Banks, Martin S},
	journal={Journal of vision},
	volume={8},
	number={3},
	pages={33--33},
	year={2008},
	publisher={The Association for Research in Vision and Ophthalmology}
}
@inproceedings{vismerge,
	title={VisMerge: Light Adaptive Vision Augmentation via Spectral and Temporal Fusion of Non-visible Light},
	author={Orlosky, Jason and Kim, Peter and Kiyokawa, Kiyoshi and Mashita, Tomohiro and Ratsamee, Photchara and Uranishi, Yuki and Takemura, Haruo},
	booktitle={Mixed and Augmented Reality (ISMAR), 2017 IEEE International Symposium on},
	pages={22--31},
	year={2017},
	organization={IEEE}
}
@article{ssqQuestion,
	title={Simulator sickness questionnaire: An enhanced method for quantifying simulator sickness},
	author={Kennedy, Robert S and Lane, Norman E and Berbaum, Kevin S and Lilienthal, Michael G},
	journal={The international journal of aviation psychology},
	volume={3},
	number={3},
	pages={203--220},
	year={1993},
	publisher={Taylor \& Francis}
}
@misc{web:trello,
	author = {Atlassian},
	title = {Trello},
	howpublished = "\url{https://trello.com}",
	year = {2018},
	note = {Last access July 2nd 2018},
}
@misc{web:matlab,
	author = {The MathWorks Inc.},
	title = {Matlab},
	howpublished = "\url{https://es.mathworks.com/products/matlab.html}",
	year = {2018},
	note = {Last access June 22th 2018},
}
@misc{web:github,
	author = {GitHub Inc.},
	title = {Github},
	howpublished = "\url{https://github.com/}",
	year = {2018},
	note = {Last access July 1st 2018},
}
@misc{web:hololens,
	author = {Microsoft},
	title = {Microsoft Hololens},
	howpublished = "\url{https://www.microsoft.com/es-es/hololens}",
	year = {2018},
	note = {Last access June 19th 2018},
}
@misc{web:githubDesktop,
	author = {GitHub Inc.},
	title = {Github Desktop},
	howpublished = "\url{https://desktop.github.com/}",
	year = {2018},
	note = {Last access July 2nd 2018},
}
@misc{web:qt,
	author = {The QT Company},
	title = {QT},
	howpublished = "\url{https://www.qt.io/}",
	year = {2018},
	note = {Last access July 1st 2018},
}
@INPROCEEDINGS{LIBELAS,
	author = {Andreas Geiger and Martin Roser and Raquel Urtasun},
	title = {Efficient Large-Scale Stereo Matching},
	booktitle = {Asian Conference on Computer Vision (ACCV)},
	year = {2010}
}
@inproceedings{web:mitplaces,
	title={Learning deep features for scene recognition using places database},
	author={Zhou, Bolei and Lapedriza, Agata and Xiao, Jianxiong and Torralba, Antonio and Oliva, Aude},
	booktitle={Advances in neural information processing systems},
	pages={487--495},
	year={2014}
}
@inproceedings{web:middelburyDataset,
	title={High-resolution stereo datasets with subpixel-accurate ground truth},
	author={Scharstein, Daniel and Hirschm{\"u}ller, Heiko and Kitajima, York and Krathwohl, Greg and Ne{\v{s}}i{\'c}, Nera and Wang, Xi and Westling, Porter},
	booktitle={German Conference on Pattern Recognition},
	pages={31--42},
	year={2014},
	organization={Springer}
}
@article{web:indecs,
	title={The kth-indecs database},
	author={Pronobis, Andrzej and Caputo, Barbara},
	journal={Kungliga Tekniska Hoegskolan, CVAP, Tech. Rep. CVAP297},
	year={2005}
}
@misc{web:leanMethod,
	author = {David J., Anderson},
	title = {Lean Software Development},
	howpublished = "\url{https://msdn.microsoft.com/en-us/library/hh533841(v=vs.120).aspx}",
	year = {November 2011, updated in November 2012},
	note = {Last access March 9 2018},
}
@misc{web:oculus,
	author = {Facebook Inc.},
	title = {Oculus rift},
	howpublished = "\url{https://www.oculus.com/}",
	year = {2018},
	note = {Last access March 10th 2018},
}
@misc{web:vive,
	author = {HTC Corporation},
	title = {Vive},
	howpublished = "\url{https://www.vive.com/us/}",
	year = {2018},
	note = {Last access March 10th 2018},
}
@misc{web:opencv,
	author = {Opencv team},
	title = {Opencv library},
	howpublished = "\url{https://opencv.org/}",
	year = {2018},
	note = {Last access March 10th 2018},
}
@misc{web:tensor,
	author = {Google LLC},
	title = {TensorFlow},
	howpublished = "\url{www.tensorflow.org}",
	year = {2018},
	note = {Last access May 24th 2018},
}
@misc{web:snellen,
	author = {Pro Visu Foundation},
	title = {Panel Snellen},
	howpublished = "\url{https://www.provisu.ch/images/PDF/Snellenchart_es.pdf}",
	year = {2018},
	note = {Last access May 24th 2018},
}
@inproceedings{hdmSutherland,
	title={A head-mounted three dimensional display},
	author={Sutherland, Ivan E},
	booktitle={Proceedings of the December 9-11, 1968, fall joint computer conference, part I},
	pages={757--764},
	year={1968},
	organization={ACM}
}
@UNPUBLISHED{unpublishCVC,
	title={Unpublished: User Testing resume},
	author={Coen Antens},
	year={2018}
	}
@article{redfelipeSintesisStereo,
	title={Fast View Synthesis with Deep Stereo Vision},
	author={Habtegebrial, Tewodros and Varanasi, Kiran and Bailer, Christian and Stricker, Didier},
	journal={arXiv preprint arXiv:1804.09690},
	year={2018}
}
@inproceedings{efficientStereoMatcher,
	title={Efficient deep learning for stereo matching},
	author={Luo, Wenjie and Schwing, Alexander G and Urtasun, Raquel},
	booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
	pages={5695--5703},
	year={2016}
}

@inproceedings{sceneComposition,
	title={Alternating attention in continuous stereoscopic depth},
	author={Poulakos, Steven and Roethlin, Gerhard and Schwaninger, Adrian and Smolic, Aljoscha and Gross, Markus},
	booktitle={Proceedings of the ACM Symposium on Applied Perception},
	pages={59--66},
	year={2014},
	organization={ACM}
}

@inproceedings{eyeTracking,
	title={Reducing visual discomfort of 3D stereoscopic displays with gaze-contingent depth-of-field},
	author={Duchowski, Andrew T and House, Donald H and Gestring, Jordan and Wang, Rui I and Krejtz, Krzysztof and Krejtz, Izabela and Mantiuk, Rados{\l}aw and Bazyluk, Bartosz},
	booktitle={Proceedings of the acm symposium on applied perception},
	pages={39--46},
	year={2014},
	organization={ACM}
}
@article{neareyeblur,
	title={Accommodation-invariant computational near-eye displays},
	author={Konrad, Robert and Padmanaban, Nitish and Molner, Keenan and Cooper, Emily A and Wetzstein, Gordon},
	journal={ACM Transactions on Graphics (TOG)},
	volume={36},
	number={4},
	pages={88},
	year={2017},
	publisher={ACM}
}
@article{bouguetcalibration,
	title={Camera calibration tool-box for matlab},
	author={Bouguet, Jean-Yves},
	journal={http://www. vision. caltech. edu/bouguetj/calib\_doc/},
	year={2002}
}
@article{calibrationopencv2,
	title={A flexible new technique for camera calibration},
	author={Zhang, Zhengyou},
	journal={IEEE Transactions on pattern analysis and machine intelligence},
	volume={22},
	number={11},
	pages={1330--1334},
	year={2000},
	publisher={IEEE}
}
@article{shiomiaccomodation,
	title={Simultaneous measurement of lens accommodation and convergence in natural and artificial 3D vision},
	author={Shiomi, Tomoki and Uemoto, Keita and Kojima, Takehito and Sano, Shunta and Ishio, Hiromu and Takada, Hiroki and Omori, Masako and Watanabe, Tomoyuki and Miyao, Masaru},
	journal={Journal of the Society for Information Display},
	volume={21},
	number={3},
	pages={120--128},
	year={2013},
	publisher={Wiley Online Library}
}
@misc{patentgoogle,
	title={Dynamic vergence and focus control for head-mounted displays},
	author={Hall, John and Herold, David},
	year={2006},
	month=nov # "~9",
	publisher={Google Patents},
	note={US Patent App. 11/124,648}
}

repository: richardseba/TFG-Docs

repo_name: richardseba/TFG-Docs


text:
html, body, svg {
    font-family: Arial, Helvetica, sans-serif;
    font-size: 14px;
    padding: 0;
    cursor: default;
    display: block; /* important for svg, otherwise overflow */
    width: 100%;
    height: 100%;
}

.brush .extent {
    stroke: #ccc;
    fill-opacity: .125;
    shape-rendering: crispEdges;
}

text {
    dominant-baseline: text-before-edge;
}

line,
.axis path {
    fill: none;
    shape-rendering: crispEdges;
}

/* for the session list */
#sessionList .ui-selecting {
    background: #FECA40;
}

#sessionList .ui-selected {
    background: #F39814;
    color: white;
}

#sessionList {
    list-style-type: none;
    margin: 0;
    padding: 0;
    /* width: 20%; */
}

#sessionList li {
    margin: 3px;
    padding-left: 5px;
    padding-right: 5px;
}

#SelectOption {
    border: 1px solid lightgrey;
    border-radius: 10px;
    padding-left: 5px;
    padding-right: 5px;
    margin-left: 19%;
    display: inline-block;
    overflow: auto;
    height: 200px;
    width: 200px;
}

branch_name: refs/heads/rebuild-mvc


text:
DESCRIPTION = "Powerful and Pythonic XML processing library combining \
libxml2/libxslt with the ElementTree API."
HOMEPAGE = "http://codespeak.net/lxml"
LICENSE = "BSD"
SRCNAME = "lxml"
PR = "r0"
DEPENDS = "libxml2 libxslt"
RDEPENDS_${PN} += "libxml2 libxslt python-compression"

SRC_URI = "http://pypi.python.org/packages/source/l/${SRCNAME}/${SRCNAME}-${PV}.tar.gz;name=lxml"
SRC_URI[lxml.md5sum] = "b1f700fb22d7ee9b977ee3eceb65b20c"
SRC_URI[lxml.sha256sum] = "7fd36e4a56360cd5d7319e357b04a90e2c6b836ea220c88f9451c300ae33cc5e"

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

inherit setuptools

DISTUTILS_BUILD_ARGS += " \
                     --with-xslt-config='${STAGING_BINDIR_NATIVE}/pkg-config libxslt' \
                     --with-xml2-config='${STAGING_BINDIR_NATIVE}/xml2-config' \
"

DISTUTILS_INSTALL_ARGS += " \
                     --with-xslt-config='${STAGING_BINDIR_NATIVE}/pkg-config libxslt' \
                     --with-xml2-config='${STAGING_BINDIR_NATIVE}/xml2-config' \
"


text:
@article{menichinelli_first_2020,
	title = {First {Exploratory} {Geographical} and {Social} {Maps} of the {Maker} {Movement}},
	volume = {2},
	copyright = {Copyright (c) 2019 Massimo Menichinelli, Alessandra Gerson Saltiel Schmidt},
	issn = {2612-0496},
	url = {https://cpcl.unibo.it/article/view/9640},
	doi = {10.6092/issn.2612-0496/9640},
	abstract = {The Maker Movement emerged in the last decades through a mix of both bottom-up and top-down initiatives, promotions, communities and companies, informal experimentations and rigorous research projects. The result is a global system of design and making actors localized in community places of Maker Laboratories such as Fab Labs, Makerspaces, Hackerspaces, DIYBio Labs, Repair Cafes and so on. This contribution explores the first maps of the Maker Movement in terms of geographical distribution and of architecture of social networks of its Maker Laboratories and proposes a specific data analysis for each of these two directions. This article draws an overview of the social, local and global nature of the Maker Movement and of its laboratories, with the overall aim to provide spaces for democracy, participation and citizenship.},
	language = {en},
	number = {2},
	urldate = {2020-06-26},
	journal = {European Journal of Creative Practices in Cities and Landscapes},
	author = {Menichinelli, Massimo and Schmidt, Alessandra Gerson Saltiel},
	month = jun,
	year = {2020},
	note = {Number: 2},
	keywords = {community, geographical distribution, Maker Movement, mapping, social network analysis},
	pages = {35--62}
}


text:
@article{chatterjee2015,
author = "Chatterjee, Sourav",
fjournal = "The Annals of Statistics",
journal = "Ann. Statist.",
month = "02",
number = "1",
pages = "177--214",
publisher = "The Institute of Mathematical Statistics",
title = "Matrix estimation by Universal Singular Value Thresholding",
volume = "43",
year = "2015"
}

@article{keshavan_matrix_2010,
	title = {Matrix {Completion} {From} a {Few} {Entries}},
	volume = {56},
	issn = {0018-9448},
	number = {6},
	journal = {IEEE Transactions on Information Theory},
	author = {Keshavan, Raghunandan H. and Montanari, Andrea and Oh, Sewoong},
	month = jun,
	year = {2010},
	pages = {2980--2998}
}

@book{gelman_data_2007,
	address = {Cambridge ; New York},
	series = {Analytical methods for social research},
	title = {Data analysis using regression and multilevel/hierarchical models},
	isbn = {978-0-521-86706-1 978-0-521-68689-1},
	publisher = {Cambridge University Press},
	author = {Gelman, Andrew and Hill, Jennifer},
	year = {2007},
	note = {OCLC: ocm67375137},
	keywords = {Multilevel models (Statistics), Regression analysis}
}

@article{candes_exact_2009,
	title = {Exact {Matrix} {Completion} via {Convex} {Optimization}},
	volume = {9},
	issn = {1615-3375, 1615-3383},
	language = {en},
	number = {6},
	journal = {Foundations of Computational Mathematics},
	author = {Candès, Emmanuel J. and Recht, Benjamin},
	month = dec,
	year = {2009},
	pages = {717--772}
}

@article{davenport_overview_2016,
	title = {An {Overview} of {Low}-{Rank} {Matrix} {Recovery} {From} {Incomplete} {Observations}},
	volume = {10},
	issn = {1932-4553, 1941-0484},
	number = {4},
	journal = {IEEE Journal of Selected Topics in Signal Processing},
	author = {Davenport, Mark A. and Romberg, Justin},
	month = jun,
	year = {2016},
	pages = {608--622}
}

@incollection{srebro_maximum-margin_2005,
	title = {Maximum-{Margin} {Matrix} {Factorization}},
	booktitle = {Advances in {Neural} {Information} {Processing} {Systems} 17},
	publisher = {MIT Press},
	author = {Srebro, Nathan and Rennie, Jason and Jaakkola, Tommi S.},
	editor = {Saul, L. K. and Weiss, Y. and Bottou, L.},
	year = {2005},
	pages = {1329--1336}
}

@article{mazumder_spectral_2010,
	title = {Spectral {Regularization} {Algorithms} for {Learning} {Large} {Incomplete} {Matrices}},
	volume = {11},
	issn = {1532-4435},
	journal = {J. Mach. Learn. Res.},
	author = {Mazumder, Rahul and Hastie, Trevor and Tibshirani, Robert},
	month = aug,
	year = {2010},
	pages = {2287--2322}
}

@article{hastie_matrix_2015,
	title = {Matrix {Completion} and {Low}-rank {SVD} via {Fast} {Alternating} {Least} {Squares}},
	volume = {16},
	issn = {1532-4435},
	number = {1},
	journal = {J. Mach. Learn. Res.},
	author = {Hastie, Trevor and Mazumder, Rahul and Lee, Jason D. and Zadeh, Reza},
	month = jan,
	year = {2015},
	keywords = {alternating least squares, matrix completion, nuclear norm, svd},
	pages = {3367--3402}
}

@article{azur_multiple_2011,
	title = {Multiple imputation by chained equations: what is it and how does it work?: {Multiple} imputation by chained equations},
	volume = {20},
	issn = {10498931},
	shorttitle = {Multiple imputation by chained equations},
	language = {en},
	number = {1},
	journal = {International Journal of Methods in Psychiatric Research},
	author = {Azur, Melissa J. and Stuart, Elizabeth A. and Frangakis, Constantine and Leaf, Philip J.},
	month = mar,
	year = {2011},
	pages = {40--49}
}

@article{troyanskaya_missing_2001,
	title = {Missing value estimation methods for {DNA} microarrays},
	volume = {17},
	issn = {1367-4803},
	language = {eng},
	number = {6},
	journal = {Bioinformatics},
	author = {Troyanskaya, O. and Cantor, M. and Sherlock, G. and Brown, P. and Hastie, T. and Tibshirani, R. and Botstein, D. and Altman, R. B.},
	month = jun,
	year = {2001},
	pages = {520--525}
}

@inproceedings{rennie_fast_2005,
	title = {Fast maximum margin matrix factorization for collaborative prediction},
	isbn = {978-1-59593-180-1},
	language = {en},
	booktitle = {{ICML} '05 {Proceedings} of the 22nd international conference on {Machine} learning},
	publisher = {ACM Press},
	author = {Rennie, Jasson D. M. and Srebro, Nathan},
	year = {2005},
	pages = {713--719}
}

@article{cai_singular_2010,
	title = {A {Singular} {Value} {Thresholding} {Algorithm} for {Matrix} {Completion}},
	volume = {20},
	issn = {1052-6234, 1095-7189},
	language = {en},
	number = {4},
	journal = {SIAM Journal on Optimization},
	author = {Cai, Jian-Feng and Candès, Emmanuel J. and Shen, Zuowei},
	month = jan,
	year = {2010},
	pages = {1956--1982}
}

@article{mandel_j_comparison_2015,
	title = {A {Comparison} of {Six} {Methods} for {Missing} {Data} {Imputation}},
	volume = {06},
	issn = {21556180},
	number = {01},
	journal = {Journal of Biometrics \& Biostatistics},
	author = {Mandel J, Schmitt P},
	year = {2015}
}

repository: kisungyou/filling

repo_name: kisungyou/filling


text:
@inproceedings{Grossman:2009:HFE:1555880.1555918,
 acmid = {1555918},
 address = {Toronto, Ont., Canada, Canada},
 author = {Grossman, Tovi and Baudisch, Patrick and Hinckley, Ken},
 booktitle = {Proceedings of Graphics Interface 2009},
 isbn = {978-1-56881-470-4},
 keywords = {Handle Flag, ink, lasso, pen input, selection},
 location = {Kelowna, British Columbia, Canada},
 numpages = {8},
 pages = {167--174},
 publisher = {Canadian Information Processing Society},
 series = {GI '09},
 title = {Handle Flags: Efficient and Flexible Selections for Inking Applications},
 url = {http://dl.acm.org/citation.cfm?id=1555880.1555918},
 year = {2009}
}

repository: jmatejka/group-website

repo_name: jmatejka/group-website


text:
@inbook{fiorio_19,
 address = {Cham},
 author = {Fiorio, Luca and Romano, Francesco and Parmiggiani, Alberto and Berret, Bastien and Metta, Giorgio and Nori, Francesco},
 booktitle = {Biomechanics of Anthropomorphic Systems},
 doi = {10.1007/978-3-319-93870-7_11},
 editor = {Venture, Gentiane and Laumond, Jean-Paul and Watier, Bruno},
 isbn = {978-3-319-93870-7},
 pages = {235-262},
 publisher = {Springer International Publishing},
 title = {Design and Control of a Passive Noise Rejecting Variable Stiffness Actuator},
 url = {https://doi.org/10.1007/978-3-319-93870-7_11},
 year = {2019}
}

repository: miggia/academic-kickstart

repo_name: miggia/academic-kickstart


text:
@article{Li:2011:DEC:1970378.1970380,
 acmid = {1970380},
 address = {New York, NY, USA},
 articleno = {6},
 author = {Li, Wei and Matejka, Justin and Grossman, Tovi and Konstan, Joseph A. and Fitzmaurice, George},
 doi = {10.1145/1970378.1970380},
 issn = {1073-0516},
 issue_date = {June 2011},
 journal = {ACM Trans. Comput.-Hum. Interact.},
 keywords = {Collaborative filtering, command recommender system},
 month = {July},
 number = {2},
 numpages = {35},
 pages = {6:1--6:35},
 publisher = {ACM},
 title = {Design and Evaluation of a Command Recommendation System for Software Applications},
 url = {http://doi.acm.org/10.1145/1970378.1970380},
 volume = {18},
 year = {2011}
}

repository: jmatejka/personal-website

repo_name: jmatejka/personal-website


text:
@article{smeets2013allured,
  title={Allured or alarmed: counteractive control responses to food temptations in the brain},
  author={Smeets, Paul AM and Kroese, Floor M and Evers, Catharine and de Ridder, Denise TD},
  journal={Behavioural brain research},
  volume={248},
  pages={41--45},
  year={2013},
  publisher={Elsevier}
}

@inproceedings{shi2018feature,
  title={Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging},
  author={Shi, Shan and Nathoo, Farouk},
  booktitle={2018 4th International Conference on Big Data and Information Analytics (BigDIA)},
  pages={1--5},
  year={2018},
  organization={IEEE}
}

@article{henschel2019fastsurfer,
  title={FastSurfer--A fast and accurate deep learning based neuroimaging pipeline},
  author={Henschel, Leonie and Conjeti, Sailesh and Estrada, Santiago and Diers, Kersten and Fischl, Bruce and Reuter, Martin},
  journal={arXiv preprint arXiv:1910.03866},
  year={2019}
}

@article{plis2014deep,
  title={Deep learning for neuroimaging: a validation study},
  author={Plis, Sergey M and Hjelm, Devon R and Salakhutdinov, Ruslan and Allen, Elena A and Bockholt, Henry J and Long, Jeffrey D and Johnson, Hans J and Paulsen, Jane S and Turner, Jessica A and Calhoun, Vince D},
  journal={Frontiers in neuroscience},
  volume={8},
  pages={229},
  year={2014},
  publisher={Frontiers}
}

@article{payan2015predicting,
  title={Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks},
  author={Payan, Adrien and Montana, Giovanni},
  journal={arXiv preprint arXiv:1502.02506},
  year={2015}
}

@article{akkus2017deep,
  title={Deep learning for brain MRI segmentation: state of the art and future directions},
  author={Akkus, Zeynettin and Galimzianova, Alfiia and Hoogi, Assaf and Rubin, Daniel L and Erickson, Bradley J},
  journal={Journal of digital imaging},
  volume={30},
  number={4},
  pages={449--459},
  year={2017},
  publisher={Springer}
}

@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

@article{shu2016unsupervised,
  title={Unsupervised 3D shape segmentation and co-segmentation via deep learning},
  author={Shu, Zhenyu and Qi, Chengwu and Xin, Shiqing and Hu, Chao and Wang, Li and Zhang, Yu and Liu, Ligang},
  journal={Computer Aided Geometric Design},
  volume={43},
  pages={39--52},
  year={2016},
  publisher={Elsevier}
}

@inproceedings{tran2018closer,
  title={A closer look at spatiotemporal convolutions for action recognition},
  author={Tran, Du and Wang, Heng and Torresani, Lorenzo and Ray, Jamie and LeCun, Yann and Paluri, Manohar},
  booktitle={Proceedings of the IEEE conference on Computer Vision and Pattern Recognition},
  pages={6450--6459},
  year={2018}
}

@inproceedings{hara3dcnns,
  author={Kensho Hara and Hirokatsu Kataoka and Yutaka Satoh},
  title={Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={6546--6555},
  year={2018},
}

@software{brett_matthew_2019_3544468,
  author       = {Brett, Matthew and
                  Markiewicz, Christopher J. and
                  Hanke, Michael and
                  Côté, Marc-Alexandre and
                  Cipollini, Ben and
                  McCarthy, Paul and
                  Cheng, Christopher P. and
                  Halchenko, Yaroslav O. and
                  Cottaar, Michiel and
                  Ghosh, Satrajit and
                  Larson, Eric and
                  Wassermann, Demian and
                  Gerhard, Stephan and
                  Lee, Gregory R. and
                  Wang, Hao-Ting and
                  Kastman, Erik and
                  Rokem, Ariel and
                  Madison, Cindee and
                  Morency, Félix C. and
                  Moloney, Brendan and
                  Goncalves, Mathias and
                  Riddell, Cameron and
                  Burns, Christopher and
                  Millman, Jarrod and
                  Gramfort, Alexandre and
                  Leppäkangas, Jaakko and
                  Markello, Ross and
                  van den Bosch, Jasper J.F. and
                  Vincent, Robert D. and
                  Braun, Henry and
                  Subramaniam, Krish and
                  Jarecka, Dorota and
                  Gorgolewski, Krzysztof J. and
                  Raamana, Pradeep Reddy and
                  Nichols, B. Nolan and
                  Baker, Eric M. and
                  Hayashi, Soichi and
                  Pinsard, Basile and
                  Haselgrove, Christian and
                  Hymers, Mark and
                  Esteban, Oscar and
                  Koudoro, Serge and
                  Oosterhof, Nikolaas N. and
                  Amirbekian, Bago and
                  Nimmo-Smith, Ian and
                  Nguyen, Ly and
                  Reddigari, Samir and
                  St-Jean, Samuel and
                  Panfilov, Egor and
                  Garyfallidis, Eleftherios and
                  Varoquaux, Gael and
                  Kaczmarzyk, Jakub and
                  Legarreta, Jon Haitz and
                  Hahn, Kevin S. and
                  Hinds, Oliver P. and
                  Fauber, Bennet and
                  Poline, Jean-Baptiste and
                  Stutters, Jon and
                  Jordan, Kesshi and
                  Cieslak, Matthew and
                  Moreno, Miguel Estevan and
                  Haenel, Valentin and
                  Schwartz, Yannick and
                  Thirion, Bertrand and
                  Papadopoulos Orfanos, Dimitri and
                  Pérez-García, Fernando and
                  Solovey, Igor and
                  Gonzalez, Ivan and
                  Palasubramaniam, Jath and
                  Lecher, Justin and
                  Leinweber, Katrin and
                  Raktivan, Konstantinos and
                  Fischer, Peter and
                  Gervais, Philippe and
                  Gadde, Syam and
                  Ballinger, Thomas and
                  Roos, Thomas and
                  Reddam, Venkateswara Reddy and
                  freec84},
  title        = {nipy/nibabel: 3.0.0rc1},
  month        = nov,
  year         = 2019,
  publisher    = {Zenodo},
  version      = {3.0.0rc1},
  doi          = {10.5281/zenodo.3544468},
  url          = {https://doi.org/10.5281/zenodo.3544468}
}

@inproceedings{paszke2017automatic,
  title={Automatic Differentiation in {PyTorch}},
  author={Paszke, Adam and Gross, Sam and Chintala, Soumith and Chanan, Gregory and Yang, Edward and DeVito, Zachary and Lin, Zeming and Desmaison, Alban and Antiga, Luca and Lerer, Adam},
  booktitle={NeurIPS Autodiff Workshop},
  year={2017}
}

@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}
}


text:
@article{brown2019large,
 author = {Brown, Peter and Tan, Aik-Choon and El-Esawi, Mohamed A and Liehr, Thomas and Blanck, Oliver and Gladue, Douglas P and Almeida, Gabriel MF and Cernava, Tomislav and Sorzano, Carlos O and Yeung, Andy WK and others},
 journal = {Database},
 publisher = {Oxford Academic},
 title = {Large expert-curated database for benchmarking document similarity detection in biomedical literature search},
 volume = {2019},
 year = {2019}
}

repository: weecology/website

repo_name: weecology/website


text:
DESCRIPTION = "A battery monitor panel plugin for Xfce4, compatible with APM and ACP"
HOMEPAGE = "http://goodies.xfce.org/projects/panel-plugins/xfce4-battery-plugin"
LICENSE = "GPLv2"
LIC_FILES_CHKSUM = "file://COPYING;md5=94d55d512a9ba36caa9b7df079bae19f"

inherit xfce-panel-plugin

SRC_URI[md5sum] = "ca2d394e411a20442a519efa0d14f8ec"
SRC_URI[sha256sum] = "f659b1af40ab72c93448affaa693ab551827a5600ce9b97a799b7c2419bdeb11"

repository: ExorEmbedded/exor-workspace

repo_name: ExorEmbedded/exor-workspace