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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Implementation of different algorithms to infer comprehensible explanations from the outcome of an unsupervised outlier detection algorithm OneClass SVM is a popular method to perform unsupervised outlier detection on the features that compose a dataset. However, this method is generally considered a "black box" due to the fact that it's difficult to justify in an intuitive and simple way why the decision frontier is classifying the data points in the different categories. This problem appears in supervised classification tasks and even more in unsupervised learning. To be able to obtain intuitive explanations this library offers a method to infer rules that justify why a point is labeled as an outlier. The library performs the outlier analysis using scikit-learn. This method offers an algorithmic transparency method for variables of any kind (they can be numerical or categorical)

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Mangiacrapa F.;

    gcube GeoExplorer is a web application that allows users to navigate, organize, search and discovery GIS Layers. GeoExplorer operates on a GeoNetwork instance in order to discover layers residing on a distributed e-Infrastructure.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ISTI Open Portalarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    ISTI Open Portal
    Software . 2013
    Data sources: ISTI Open Portal
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    ISTI Open Portal
    Software . 2017
    Data sources: ISTI Open Portal
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    ISTI Open Portal
    Software . 2016
    Data sources: ISTI Open Portal
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ISTI Open Portalarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      ISTI Open Portal
      Software . 2013
      Data sources: ISTI Open Portal
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      ISTI Open Portal
      Software . 2017
      Data sources: ISTI Open Portal
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      ISTI Open Portal
      Software . 2016
      Data sources: ISTI Open Portal
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    {"references": ["Ito, Keith, and Linda Johnson. \"The LJ Speech Dataset,\" 2017. https://keithito.com/LJ-Speech-Dataset.", "Wang, Dong, and Xuewei Zhang. \"THCHS-30\u202f: A Free Chinese Speech Corpus.\" arXiv, December 10, 2015. http://arxiv.org/abs/1512.01882.", "Zhao, Guanlong, Sinem Sonsaat, Alif Silpachai, Ivana Lucic, Evgeny Chukharev-Hudilainen, John Levis, and Ricardo Gutierrez-Osuna. \"L2-ARCTIC: A Non-Native English Speech Corpus.\" In Interspeech 2018, 2783\u201387. ISCA, 2018. https://doi.org/10.21437/Interspeech.2018-1110."]} Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410 For a project description please look at GitHub/PyPI.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2023
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2023
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2022
    Data sources: Datacite
    ZENODO
    Software . 2022
    Data sources: ZENODO
    ZENODO
    Software . 2023
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2023
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2023
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2022
      Data sources: Datacite
      ZENODO
      Software . 2022
      Data sources: ZENODO
      ZENODO
      Software . 2023
      Data sources: ZENODO
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  • This is an example capsule for CoBE(https://www.pmcobe.ca) executable. The capsule is made using software, source code and data coming from public sources and other authors. Please find the original links for code/data in capsule description below: https://academic.oup.com/bioinformatics/article/31/18/3057/241235 https://github.com/LupienLab/ABC)

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This Zenodo/GitHub repository provides the data and R code behind the paper Mothers with higher twinning propensity had lower fertility in pre-industrial Europe by Rickard et al. (Nature Communications, 2022) ABSTRACT: Historically, mothers producing twins gave birth, on average, more often than non-twinners. This observation has been interpreted as twinners having higher intrinsic fertility – a physiological predisposition to conceive easily – which has shaped both hypotheses about why twinning persists and varies across populations, and the design of medical studies on female fertility. Here we show in >20k pre-industrial European mothers that this interpretation results from an ecological fallacy: twinners had more births not due to higher intrinsic fertility, but because mothers that gave birth more accumulated more opportunities to produce twins. Controlling for variation in the exposure to the risk of twinning reveals that mothers with higher twinning propensity – a physiological predisposition to producing twins – in fact had fewer births, and when twin mortality was high, fewer offspring reaching adulthood. Twinning rates may thus be driven by within-individual and among-population variation in its mortality costs, rather than variation in intrinsic fertility.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2022
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2021
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2022
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2022
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2021
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Feature Sampling

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Software . 2019
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2019
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2019
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2019
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Artifact evaluation for ShEF: Shielded Enclaves for Cloud FPGAs, ASPLOS 2022.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Software . 2021
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2021
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      Software . 2021
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2021
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Implementation of a minimal computational model of HURP dynamics on kinetochore-fibres and inference methods to fit this model to experimental data via Markov chain Monte Carlo.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Software . 2022
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Software . 2022
    Data sources: Datacite
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  • Authors: Blazej, J.; Flohrer, T.; Gatto, A.; Schildknecht, Thomas; +6 Authors

    In our work we will discuss the conceptual design of an Expert Coordination Centre (ExpCen) supporting observations performed by optical and satellite laser ranging (SLR) sensors. This ExpCen should suit as an interface between a Space Surveillance and Tracking (SST) system, as example for technology developments under ESA’s SSA programme, and any external sensors. Presented will be identified ExpCen’s functionalities, such as coordination of sensors, validation and qualification of data and research and development. Presented will be high-level architecture of the centre along with the defined interfaces. ExpCen will perform several different tasks, each performed by different subsystem. The subsystems architecture, interfaces, data flows and components will be shown. The current design of the ExpCen allows to perform in parallel functionalities for optical passive and SLR domain.

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    Abstract This artifact contains the tools and scripts for reproducing the experiments from our paper "Project and Conquer: Fast Quantifier Elimination for Checking Petri Nets Reachability". Our main tool, called Octant, can be used as a pre-processor for accelerating the model-checking of generalized reachability properties on Petri nets. Given an initial Petri net and an initial set of formulas, Octant takes advantage of structural reductions in order to compute a set of simplified, projected formulas that can be checked on a reduced Petri net while preserving the verdicts. Requirements To reproduce the experiments, the resources required are 4 CPU cores and an amount of 16GB of RAM in order to reproduce similar conditions to those of the Model Checking Contest. Tool Availability Octant (https://github.com/nicolasAmat/Octant) and SMPT (https://github.com/nicolasAmat/SMPT) are open-source (under GPLv3 license) tools. External tools used in this artifact are all freely available: ITS-Tools and Tapaal: disk images with agreement of the authors from the Model Checking Contest 2022 (https://mcc.lip6.fr/2022/) LoLA (https://theo.informatik.uni-rostock.de/theo-forschung/tools/lola/) (AGPLv3) Barvinok (https://barvinok.sourceforge.io/) (GPLv3) Tina toolbox (https://projects.laas.fr/tina/download.php) (freeware) Latte (https://github.com/latte-int/latte-distro) (LiDIA) z3 (https://github.com/Z3Prover/z3) (MIT) Remark To perform the evaluation of the state-of-the-art tools we dumped the disk images of the Model Checking Contest 2022 that are publicly available at https://mcc.lip6.fr/2022/results.php. 0 - Content of the artifact The `Artifact/` directory is organized as follows: run_experiments.sh - script to run all the experiments Dependencies/ - dependencies Latte/ - Latte distro (required by SMPT) Tina/ - Tina toolbox (required by SMPT) z3/ - SMT solver (required by SMPT) Tools/ - tools directory Barvinok/ - Barvinok (evaluation on quantifier elimination) SMPT/ - SMPT model checker (evaluation on model checking) ITS-Tools/ - ITS-Tools model checker (evaluation on model checking under real conditions) Tapaal/ - Tapaal model checker (evaluation on model checking under real conditions) LoLA/ - LoLA model checker (evaluation on model checking under real conditions) Queries/ - queries from the 2022 edition of the model checking contest one subdirectory per instance containing: the model (model.pnml) the queries (*-ReachabilityCardinality-*.xml) all the queries in one file (ReachabilityCardinality.xml) Lists/ - lists of instances and queries all_instances - all instances in the directory Queries/ challenging_queries - challenging queries (cf. paper) cex_queries - queries that are true EF phi or false AG phi inv_queries - queries that are false EF phi or true AG phi picked_instances - selection of instances (for the artifact experimentation) picked_queries - selection of queries (for the artifact experimentation) Scripts/ - scripts directory Manage_Benchmark/ - script to manage instances instances_of_queries.py - generate the list of instances corresponding to a given list of queries Run/ - scripts to run tools run_projections.sh - compute the reduced net of a given instance and project all queries run_barvinok.sh - project a query using Barvinok run_smpt.sh - run SMPT (random walk or k-induction) on a given query run_itstools.sh - run ITS-Tools on a given query run_tapaal.sh - run Tapaal on a given query run_lola.sh - run LoLA on a given query Out2csv/ - scripts to analyze logs in the Outputs/ directory projections.py - generate CSV/projections.csv barvinok.py - generate CSV/barvinok.csv smpt.py - generate CSV/walk.csv and CSV/kinduction.csv model_checkers.py - generate CSV/ITS-Tools.csv, CSV/Tapaal.csv and CSV/LoLA.csv Utils/ pretty_csv.py - script to pretty print a .csv file CSV/ - empty directory to store produced .csv files Outputs/ - empty directory to store raw outputs of the tools tmp/ - empty directory to store temporary files 1 - Installation Extract the artifact: $ tar xvf Artifact-Octant.tar.gz$ cd Artifact-Octant Build docker image: $ docker build -t octant:latest . Run docker image: $ docker run -it octant:latest Apple Silicon Warning: This artifact relies on x86_64 binaries. It is not possible to build it natively on arm64 architecture. Create a new cross-compiler builder: $ docker buildx create --name mybuilder --driver docker-container --bootstrap$ docker buildx use mybuilder Build the docker image: $ docker buildx build --platform linux/amd64 -t octant:latest --load . Run the docker image: $ docker run -it octant:latest Note If the build failed, please retry using the `--no-cache` option: $ docker build -t octant:latest . --no-cache or $ docker buildx build --platform linux/amd64 -t octant:latest --load . --no-cache 2 - Reproduce Experiments Experiments can be automatically reproduced by running the following script: $ ./run_experiments.sh Data analysis Results are displayed on the standard output as they are computed. It is still possible to analyze the raw outputs (using the `cat` command for example) in the `Outputs/` directory, and the .csv tables in the `CSV/` directory. Note By default, the `run_experiments.sh` script computes projections for all the queries of instances listed in `Lists/picked_instances` (there are 16 queries for each instance), using Octant. Then we compute projections for the queries listed in `Lists/picked_queries` using Barvinok, and proceed with model-checking the queries on the same list (using both the original and projected versions). It is possible to change the content of the two files `Lists/picked_instances` and `Lists/picked_queries`. Reproducing all the experiments from the paper is not realistic without a cluster of computers. For the model checking steps, we also set the time limit to 60s instead of 180s in the paper. The time limits can be changed in the `Scripts/Run/run_{tool}.sh` scripts by setting the variable `TIMEOUT`. Detailed description The overall time to run the script is estimated at 1 h 10 min. Our experiments are organized around 4 main steps and are based on a benchmark borrowed from the 2022 edition of the [Model Checking Contest](https://mcc.lip6.fr/). Petri net instances and queries are found in the folder `Queries/`. Step 1: Reduction and projection (Octant) ~ 3 min We use Octant to compute projected queries and test if our projection is complete. The table columns represent: QUERY: id of the query COMPLETE: whether the projected formula is complete PROJECTION_TIME: time to project the formula REDUCTION_RATIO: reduction ratio of the net REDUCTION_TIME: time to reduce the net Step 2: Projections using Barvinok (for comparison) ~ 10min Query projection can be interpreted as an elimination of existentially quantified variables in a Presburger formula. In this step, we compare our results with a projection computed using the iscc tool, part of the Barvinok numerical library. The table columns represent: QUERY: id of the query TIME: time to project the formula using Barvinok (isl) Step 3: Random walk and k-induction ~ 15 min We use our symbolic model-checker, called SMPT, to compare the results computed with queries listed in `Lists/picked_queries`, both on the initial and projected system. We use two different methods: random walk (best suited to find counter-examples) if the query is listed in the file `Lists/cex_queries` and k-induction (best suited to prove invariants) if it is listed in file `Lists/inv_queries`. The table columns represent: QUERY: id of the query VERDICT_ORIGINAL: computed verdict using the original net and formula TIME_ORIGINAL: time to compute a verdict using the original net and formula VERDICT_PROJECTED: computed verdict using the reduced net and projected formula TIME_PROJECTED: time to compute a verdict using the reduced net and projected formula Step 4: Model checking under real conditions (ITS-Tools, Tapaal and LoLA) ~ 40min We again compare the results and computation time obtained when model-checking queries before and after projection. This time we use three off-the-shelf model-checkers that participated in the MCC: ITS-Tools, Tapaal and LoLA. The table columns represent: QUERY: id of the query VERDICT_ORIGINAL: computed verdict using the original net and formula TIME_ORIGINAL: time to compute a verdict using the original net and formula VERDICT_PROJECTED: computed verdict using the reduced net and projected formula TIME_PROJECTED: time to compute a verdict using the reduced net and projected formula Skipping experiments You can comment some steps to skip them in the `run_experiments` script, but do not skip "Step 1: Reduction and projection (Octant)" which generates files used during the following steps (reduced net, projected formulas). SHA256 checksum: 34d0a855e7445fc97c3029c08ffba11f5620d45dca6c339937604009efe9ccdc

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    Implementation of different algorithms to infer comprehensible explanations from the outcome of an unsupervised outlier detection algorithm OneClass SVM is a popular method to perform unsupervised outlier detection on the features that compose a dataset. However, this method is generally considered a "black box" due to the fact that it's difficult to justify in an intuitive and simple way why the decision frontier is classifying the data points in the different categories. This problem appears in supervised classification tasks and even more in unsupervised learning. To be able to obtain intuitive explanations this library offers a method to infer rules that justify why a point is labeled as an outlier. The library performs the outlier analysis using scikit-learn. This method offers an algorithmic transparency method for variables of any kind (they can be numerical or categorical)

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    Authors: Mangiacrapa F.;

    gcube GeoExplorer is a web application that allows users to navigate, organize, search and discovery GIS Layers. GeoExplorer operates on a GeoNetwork instance in order to discover layers residing on a distributed e-Infrastructure.

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    {"references": ["Ito, Keith, and Linda Johnson. \"The LJ Speech Dataset,\" 2017. https://keithito.com/LJ-Speech-Dataset.", "Wang, Dong, and Xuewei Zhang. \"THCHS-30\u202f: A Free Chinese Speech Corpus.\" arXiv, December 10, 2015. http://arxiv.org/abs/1512.01882.", "Zhao, Guanlong, Sinem Sonsaat, Alif Silpachai, Ivana Lucic, Evgeny Chukharev-Hudilainen, John Levis, and Ricardo Gutierrez-Osuna. \"L2-ARCTIC: A Non-Native English Speech Corpus.\" In Interspeech 2018, 2783\u201387. ISCA, 2018. https://doi.org/10.21437/Interspeech.2018-1110."]} Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410 For a project description please look at GitHub/PyPI.

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  • This is an example capsule for CoBE(https://www.pmcobe.ca) executable. The capsule is made using software, source code and data coming from public sources and other authors. Please find the original links for code/data in capsule description below: https://academic.oup.com/bioinformatics/article/31/18/3057/241235 https://github.com/LupienLab/ABC)

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    This Zenodo/GitHub repository provides the data and R code behind the paper Mothers with higher twinning propensity had lower fertility in pre-industrial Europe by Rickard et al. (Nature Communications, 2022) ABSTRACT: Historically, mothers producing twins gave birth, on average, more often than non-twinners. This observation has been interpreted as twinners having higher intrinsic fertility – a physiological predisposition to conceive easily – which has shaped both hypotheses about why twinning persists and varies across populations, and the design of medical studies on female fertility. Here we show in >20k pre-industrial European mothers that this interpretation results from an ecological fallacy: twinners had more births not due to higher intrinsic fertility, but because mothers that gave birth more accumulated more opportunities to produce twins. Controlling for variation in the exposure to the risk of twinning reveals that mothers with higher twinning propensity – a physiological predisposition to producing twins – in fact had fewer births, and when twin mortality was high, fewer offspring reaching adulthood. Twinning rates may thus be driven by within-individual and among-population variation in its mortality costs, rather than variation in intrinsic fertility.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Software . 2022
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      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
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      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
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      License: CC BY
      Data sources: Datacite