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  1. 5681
    “…In gathering the data sets, both application programming interfaces (installed using Python’s pip) and pre-existing data compiled by standard scientific third parties were used. …”
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    The Plebeian Algorithm: A Democratic Approach to Censorship and Moderation
  2. 5682
    “…The Serious Games were developed in Python through the library Pygame, considering theoretical bases of behavioral psychology for these children, which are integrated into the robot through the robot operating system (ROS). …”
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    A New Socially Assistive Robot with Integrated Serious Games for Therapies with Children with Autism Spectrum Disorder and Down Syndrome: A Pilot Study
  3. 5683
    por Reinhart, Alex, Brooks, Logan, Jahja, Maria, Rumack, Aaron, Tang, Jingjing, Agrawal, Sumit, Al Saeed, Wael, Arnold, Taylor, Basu, Amartya, Bien, Jacob, Cabrera, Ángel A., Chin, Andrew, Chua, Eu Jing, Clark, Brian, Colquhoun, Sarah, DeFries, Nat, Farrow, David C., Forlizzi, Jodi, Grabman, Jed, Gratzl, Samuel, Green, Alden, Haff, George, Han, Robin, Harwood, Kate, Hu, Addison J., Hyde, Raphael, Hyun, Sangwon, Joshi, Ananya, Kim, Jimi, Kuznetsov, Andrew, La Motte-Kerr, Wichada, Lee, Yeon Jin, Lee, Kenneth, Lipton, Zachary C., Liu, Michael X., Mackey, Lester, Mazaitis, Kathryn, McDonald, Daniel J., McGuinness, Phillip, Narasimhan, Balasubramanian, O’Brien, Michael P., Oliveira, Natalia L., Patil, Pratik, Perer, Adam, Politsch, Collin A., Rajanala, Samyak, Rucker, Dawn, Scott, Chris, Shah, Nigam H., Shankar, Vishnu, Sharpnack, James, Shemetov, Dmitry, Simon, Noah, Smith, Benjamin Y., Srivastava, Vishakha, Tan, Shuyi, Tibshirani, Robert, Tuzhilina, Elena, Van Nortwick, Ana Karina, Ventura, Valérie, Wasserman, Larry, Weaver, Benjamin, Weiss, Jeremy C., Whitman, Spencer, Williams, Kristin, Rosenfeld, Roni, Tibshirani, Ryan J.
    Publicado 2021
    “…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.…”
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    An open repository of real-time COVID-19 indicators
  4. 5684
    “…BioHansel is an open source Python 3 application available on PyPI and Conda repositories and as a Galaxy tool from the public Galaxy Toolshed. …”
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    Rapid and accurate SNP genotyping of clonal bacterial pathogens with BioHansel
  5. 5685
    “…METHODS: We collected 567,850 tweets by searching Twitter with the Tweepy Python package using the terms “CBD” and “cannabidiol.” …”
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    Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis
  6. 5686
    “…Information on HLA was extracted from ~ 28 million PubMed abstracts extracted using Natural Language Processing (NLP). Python scripts were used to mine and curate information on diseases, filter false positives and categorize to 24 tree hierarchical groups and named Entity Recognition (NER) algorithms followed by semantic analysis to infer HLA association(s). …”
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    HLA-SPREAD: a natural language processing based resource for curating HLA association from PubMed abstracts
  7. 5687
    “…All models are trained and evaluated in Python using 4173 chest CT images from the dataset entitled “A COVID multiclass dataset of CT scans,” with 2168, 758, and 1247 images of patients that are COVID-19 positive, healthy, or suffering from other pulmonary infections, respectively. …”
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    Online Artículo Texto
    Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT
  8. 5688
    “…Information regarding comorbidities, length of stay, high oxygen requirements, ICU admission, and mortality data were collected and analyzed using the Python programming language (version 3.7.6) with the use of SciPy library (1.4.1) and Statsmodels module (v0.11.1). …”
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    Online Artículo Texto
    The Effectiveness of COVID-19 Vaccines in Improving the Outcomes of Hospitalized COVID-19 Patients
  9. 5689
    “…The experiment was performed using Keras (with TensorFlow as a backend) and Python. After the DCCNet model was evaluated, a 99.9% training accuracy and 98.3% test accuracy was achieved, while a 100% training accuracy and 98.5% test accuracy was achieved using HOG. …”
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    Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients
  10. 5690
    “…Metabolites were analyzed via Unsupervised (U.ML) and Supervised (S.ML) Machine Learning algorithms based on Scikit-learn library in Python. Principal Component Analysis (PCA) was used to identify the variation pattern of the patients’ metabolome. …”
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    A176 UTILITY OF MACHINE LEARNING FOR SERUM METABOLOMIC DATA ANALYSIS IN PEDIATRIC CROHN DISEASE
  11. 5691
    “…A smartphone camera automatically measured the flow profile using a Python script, which was not affected by ambient light variations. …”
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    Online Artículo Texto
    Smartphone-based sensitive detection of SARS-CoV-2 from saline gargle samples via flow profile analysis on a paper microfluidic chip
  12. 5692
    “…It is designed as a programming library in both C++ and Python languages, and may be extended or used to build dedicated custom applications. …”
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    Online Artículo Texto
    Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy
  13. 5693
    por Pucker, Boas
    Publicado 2022
    “…RESULTS: A pipeline for the automatic identification and functional annotation of MYBs in a given sequence data set was implemented in Python. MYB candidates are identified, screened for the presence of a MYB domain and other motifs, and finally placed in a phylogenetic context with well characterized sequences. …”
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    Automatic identification and annotation of MYB gene family members in plants
  14. 5694
    “…All data analysis was performed in Python using Numpy and Scikit-Learn libraries. We used Gradient boosted regression (CatBoost), a form of machine learning, to predict mortality and compared this to traditional logistic regression. …”
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    33 Setting the Standard: Using a National Burn Registry to Benchmark Risk Adjusted Mortality
  15. 5695
    “…Here we present PySeq2500, an open source Python code base and flow cell design that converts the Illumina HiSeq 2500 instrument, comprising an epifluorescence microscope with integrated fluidics, into an open platform for programmable applications without need for specialized engineering or software development expertise. …”
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    Online Artículo Texto
    An open source toolkit for repurposing Illumina sequencing systems as versatile fluidics and imaging platforms
  16. 5696
    “…Finally, we run extensive experiments utilizing Python and its libraries, such as Scikit-Learn and TensorFlow, to assess the proposed method. …”
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    Online Artículo Texto
    A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
  17. 5697
    por Bakkelund, Daniel
    Publicado 2022
    “…The data and the problem generation methodology are backed by a Python implementation, providing both data access and an API for parameterised problem generation. …”
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    Online Artículo Texto
    Machine part data with part-of relations and part dissimilarities for planted partition generation
  18. 5698
    “…The difference analysis, visual analysis, cluster analysis and enrichment analysis were performed by using R language, python scripts and bioinformatics software followed by the construction of protein-protein interaction (PPI) network to obtain hub genes. …”
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    Online Artículo Texto
    Identification and Analysis of Hub Genes in Diabetic Cardiomyopathy: Potential Role of Cytochrome P450 1A1 in Mitochondrial Metabolism and STZ-Induced Myocardial Dysfunction
  19. 5699
    “…The implementation of dynamic programming of active contour (DP-AC) and convolutions neural network on images that require the procedure of image filtration using Python TensorFlow and Keras libraries were performed in image segmentation and classification, respectively. …”
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    Online Artículo Texto
    Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging
  20. 5700
    “…METHODS: We collected 1743 stigma-related tweets using the GetOldTweets application in Python from February 15 to September 7, 2020. Thematic analysis was used to analyze the tweets. …”
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    Using Twitter to Examine Stigma Against People With Dementia During COVID-19: Infodemiology Study
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