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4901“…The ERS API is provided in three programming languages used in the ATLAS online environment: C++, Java and Python. All APIs use exceptions for error reporting but each of them exploits advanced features of a given language to simplify program writing experience. …”
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4902por Marian, Ludmila, Gabancho, Esteban, Gonzalez Lopez, Jose Benito, Tarocco, Nicola, Costa, Flavio, Witowski, Sebastian“…It will present the technical solutions adopted, including the Python-based software stack (using among others Flask, IIIF, ElasticSearch, Celery, RabbitMQ) and the new AngularJS-based user interface which was exclusively designed for CDS Videos. …”
Publicado 2018
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4903“…Thus, the analytic Mori–Tanaka (MT) homogenization algorithm developed in Python programming language and the three-dimensional finite element (FE) homogenization scheme were applied to evaluate the elastic properties of FRRAC. …”
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4904vexptoolbox: A software toolbox for human behavior studies using the Vizard virtual reality platform“…However, implementing the experimental design can still pose a challenge, and these packages do not provide out-of-the-box support for trial-based behavioral experiments. Here, we present a Python toolbox, designed to facilitate common tasks when developing experiments using the Vizard VR platform. …”
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4905“…The TranNet method was implemented in python, source codes and the data sets used for and generated during this study are available at the Github site https://github.com/ncbi/TranNet.…”
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4906por Vieira, Ivo Henrique Provensi, Botelho, Eduardo Buganemi, de Souza Gomes, Thales Junior, Kist, Roger, Caceres, Rafael Andrade, Zanchi, Fernando Berton“…VisualDynamics was developed with Flask, which is a Python-based free and open-source framework for web development. …”
Publicado 2023
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4907por Patel, Jay S., Kumar, Krishna, Zai, Ahad, Shin, Daniel, Willis, Lisa, Thyvalikakath, Thankam P.“…Methods: We conducted a retrospective study of 28,908 patients who received a comprehensive oral evaluation between 1 January 2009, and 31 December 2014, at Indiana University School of Dentistry (IUSD) clinics. We utilized various Python libraries, such as Pandas, TensorFlow, and PyTorch, and a natural language tool kit to develop and test computer algorithms. …”
Publicado 2023
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4908“…The features from sensors’ data were extracted using the Tsfresh python package and fed into 4 ML models; Convolutional Neural Networks (CNN), Random Forest (RF), Support Vector Machine, and Multivariate Adaptive Regression Spline for targets’ prediction. …”
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4909por Chen, Hui Juan, Qiu, Jie, Qi, Yonghui, Fu, Lili, Fu, Qingqing, Wu, Wenyuan, Dai, Ganmian, Chen, Feng“…Group differences in hippocampal subfield volumes were assessed in Python with a statsmodels module using an ordinary least squares regression with age and sex as nuisance effects. …”
Publicado 2022
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4910“…METHODS: We used R version 3.5.3 for statistical analysis of the general information, and Python to construct machine learning models. RESULTS: We first used the average classifiers of the 4 machine learning algorithms to rank the features and the results showed that race, sex, whether they had surgery and marriage were the first 4 factors affecting bone metastasis. …”
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4911“…In order to provide user-friendly versions of the model for applications, we have developed a web site where the model can be run by interested scientists via a web-based interface without prior technical knowledge. We also provide Python code of the model. Additionally, all experimental input data are provided in form of the Bielefeld Molecular Organic Glasses (BIMOG) database. …”
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4912por Scherer, Moritz, Kausch, Lisa, Bajwa, Akbar, Neumann, Jan-Oliver, Ishak, Basem, Naser, Paul, Vollmuth, Philipp, Kiening, Karl, Maier-Hein, Klaus, Unterberg, Andreas“…Additional planning sets were created using the automatic DL and ATL tools. Using Python, automatic planning was compared to the reference in 3D space by calculating minimal absolute distances (MAD) for screw head and tip points (mm) and angular deviation (degree). …”
Publicado 2023
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4913“…DIPsyn‐MRI is implemented in our publicly available Python package DeepSynMRI available at: https://github.com/StatPal/DeepSynMRI. …”
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4914“…METHODS: We screened candidate genes and proteins associated with scleritis by text-mining the PubMed database using Python, and assessed their functions by using the DAVID database. …”
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4915por Cumsille, Andrés, Durán, Roberto E., Rodríguez-Delherbe, Andrea, Saona-Urmeneta, Vicente, Cámara, Beatriz, Seeger, Michael, Araya, Mauricio, Jara, Nicolás, Buil-Aranda, Carlos“…In this study, we introduce GenoVi, a Python command-line tool able to create custom circular genome representations for the analysis and visualization of microbial genomes and sequence elements. …”
Publicado 2023
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4916por Goharimanesh, Mona, Stöhr, Sabine, Ghassemzadeh, Fereshteh, Mirshamsi, Omid, Adriaens, Dominique“…The result indicated that sinuosity, disc displacement and arm angle are important parameters to interpret ophiuroid locomotion. A dedicated Python script to calculate the studied movement parameters and visualize the results applicable to all 5-armed brittle stars was developed. …”
Publicado 2023
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4917“…We utilized the package ‘PyPlutchik’ to visualize the emotion wheels in Python 3.10.5. RESULTS: A total of 241 posts were included in the final database. …”
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4918por Vedder, Viviana L., Reinberger, Tobias, Haider, Syed M. I., Eichelmann, Luis, Odenthal, Nadine, Abdelilah-Seyfried, Salim, Aherrahrou, Zouhair, Breuer, Maximilian, Erdmann, Jeanette“…Here, we provide pyHeart4Fish, a novel Python-based, platform-independent tool with a graphical user interface for automated quantification of cardiac chamber-specific parameters, such as heart rate (HR), contractility, arrhythmia score, and conduction score. …”
Publicado 2023
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4919por Ayalew, Aleka Melese, Salau, Ayodeji Olalekan, Tamyalew, Yibeltal, Abeje, Bekalu Tadele, Woreta, Nigus“…The classification method was implemented using open source tools "Python" and "OpenCV," both of which are freely available. …”
Publicado 2023
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4920“…We validate our approach in simulation, showcase its brain mapping potential on fMRI data, and release a Python package. Our methods can be useful for researchers interested in aligning brain activity with different layers of a neural network, or with other types of correlated feature spaces.…”
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