Biomedical and Health Sciences

Human Proteome and Peptides with up to 2 missed cleavages.

17 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Mon, 01/06/2020 - 21:27

    We crawled large amounts of biomedical articles from PubMed for the keyphrase extraction system evaluation.

    The articles, that consist of title, abstract and keyphrases provided by the authors, are used for the experiments.

    In our paper, cancer-related biomedical articles are selected.

    47 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 01/05/2020 - 11:23

    This is a tongue image dataset collected from the inpatient elderly population at a tertiary hospital in Shanghai, China. The data acquisition device, we called the intelligent mirror, is a light-field camera using CIELAB with a patent number as CN201520303463.5. The main parameters produced by the intelligent mirror initially are the color of the tongue, tongue coating, lip, and face.

    209 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Fri, 01/03/2020 - 16:56

    Schematic explanation of representations to brain networks during WM tasks. Left upper panel is the location illustration of four fitted sources. A-E present components relative to WM in terms of some specific neurocognitive processes.  A. During this duration, selective attention is activated by capitals’ trigger, which induced the attention mechanism in PPC cortex. B.

    25 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 12/19/2019 - 13:38

    n/a

    12 views
  • Image Processing
  • Last Updated On: 
    Sat, 12/14/2019 - 05:18

    This dataset was used in the article "Dias-Audibert FL, Navarro LC, de Oliveira DN, Delafiori J, Melo CFOR, Guerreiro TM, Rosa FT, Petenuci DL, Watanabe MAE, Velloso LA, Rocha AR and Catharino RR (2020) Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Front. Bioeng. Biotechnol. 8:6. doi: 10.3389/fbioe.2020.00006", open access available at: https://doi.org/10.3389/fbioe.2020.00006.

    516 views
  • Machine Learning
  • Last Updated On: 
    Tue, 02/11/2020 - 11:39

    This dataset contains in-silico results of insulin treatment using a fully automated artificial pancreas algorithm based on reinforcement learning for FDA-approved virtual patients (C. D. Man et al., 2014) with type 1 diabetes (10 adults and 10 adolescents). 

    134 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 11/04/2019 - 03:07

    This database contains the results of an experiment were healthy subjects played 5 trials of a rehabilitation-based VR game, to experience either difficulty variations or presence variations.

    Colected results are demogrpahic information, emotional emotions after each trial and electrophysiological signals during all 5 trials.

    124 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Fri, 09/27/2019 - 08:16

    One of the materials that is commonly being used in electronics applications is paper. It is flexible, cheap, highly available, and allows for simple manufacturing when paired with methods such as screen printing or inkjet printing. Proposed below is an optogenetic device that uses paper as the sole substrate, with a screen­printed PCB with Ag/AgCl wires. This device was quick and easy to manufacture, unlike the state of the art optoelectronic devices that use polymers and rely on complex fabrication methods such as photolithography.

    22 views
  • Energy
  • Last Updated On: 
    Mon, 09/16/2019 - 18:18

    This database contains the 166 Galvanic Skin Response (GSR) signal registers collected from the subjects participating in the first experiment (EXP 1) presented in:

    R. Martinez, A. Salazar-Ramirez, A. Arruti, E. Irigoyen, J. I. Martin and J. Muguerza, "A Self-Paced Relaxation Response Detection System Based on Galvanic Skin Response Analysis," in IEEE Access, vol. 7, pp. 43730-43741, 2019. doi: 10.1109/ACCESS.2019.2908445

    324 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 09/10/2019 - 11:32

    Pages