Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection by Hassan Tariq, Mehwish Majeed, Mueed Ahmad

“…Our proposed framework leverages Python libraries. It employs a combinatorial approach to tune the kernel, C, and degree hyperparameters for both the train-test-split and cross validation (CV) models with different input values. …”
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From Material to Solution: Implementing Shape Memory Behavior of Thermoplastic Polymers in Commercial FEA Software for Structural Analysis by Fabian Neumann, Ferdinand Cerbe, Michael Sinapius

“…This paper investigates all of the necessary steps, from the material model generation, its implementation in commercial FEA software, to the simulation of shape-memory test specimens under unidirectional tensile loading with off-the-shelf FEA modules. …”
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Development and Validation of a Framework on Consumer Satisfaction in Fresh Food E-Shopping: The Integration of Theory and Data by Yingxue Ren, Yitong Qu, Junbin Liang, Fangfang Zhao

“…The final structural equation model reveals that perceived value, platform experience, and perceived quality all have significant positive impacts on consumer satisfaction. …”
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Digital Modeling for Scoping Review in Studying Intergenerational Social Capital in Organizations by N.V. Volkova, A.K. Bordunos, V.A. Chiker, L.G. Pochebut, S.A. Korableva

“…</strong>Scoping review (<em>k</em> = 129) using a topic modeling algorithm in the Python programming language.<br><strong>Conclusions. …”
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Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

“…The correction factor is released as an open-source Python package, enabling more accurate analysis of scaling in gapped solar wind data sets.…”
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Color as a High-Value Quantitative Tool for PET/CT Imaging by Michail Marinis, Sofia Chatziioannou, Maria Kallergi

“…It should be noted that the output .png files contained all the raw values and may be treated as raw DICOM input data.…”
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Development of a UR5 Cobot Vision System with MLP Neural Network for Object Classification and Sorting by Szymon Kluziak, Piotr Kohut

“…This paper presents the implementation of a vision system for a collaborative robot equipped with a web camera and a Python-based control algorithm for automated object-sorting tasks. …”
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Comprehensive Bioinformatics Analysis of AGAP6: Linking Protein Networks, Genetic Variants, and Clinical Significance by P. Peddareddemma, Usha S. Adiga, P. Supriya, Alfred J. Augustine

“…SIFT, PolyPhen, and Combined Annotation Dependent Depletion were used for variant pathogenicity predictions. All statistical analyses were done using Python and R. …”
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Social Media Network Analysis of Academic Urologists’ Interaction Within Twitter Microblogging Environment by Spencer H. Bell, Clara Sun, Emma Helstrom, Justin M. Dubin, Ilaha Isali, Kirtishri Mishra, Andrew Gianakopoulos, Seyed Behzad Jazayeri, Mohit Sindhani, Lee Ponsky, Alexander Kutikov, Casey Seideman, Andres Correa, Diana Magee, Laura Bukavina

“…Among all faculty, 945 (39.7%) had registered Twitter accounts, with the majority being men (759 [80.40%] versus 185 [19.60%]). …”
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Social Media Network Analysis of Academic Urologists’ Interaction Within Twitter Microblogging Environment by Spencer H. Bell, Clara Sun, Emma Helstrom, Justin M. Dubin, Ilaha Isali, Kirtishri Mishra, Andrew Gianakopoulos, Seyed Behzad Jazayeri, Mohit Sindhani, Lee Ponsky, Alexander Kutikov, Casey Seideman, Andres Correa, Diana Magee, Laura Bukavina

“…Among all faculty, 945 (39.7%) had registered Twitter accounts, with the majority being men (759 [80.40%] versus 185 [19.60%]). …”
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Evidencias empíricas de regularidades estadísticas y leyes de potencia en los genomas de Arabidopsis thaliana, Oriza sativa y Mus musculus Empirical evidences of statistical regula... by Martha I Almanza P., Karina López-López, Pedro A Moreno, Carlos E Téllez T.

“…El total de secuencias de los genes de los genomas vegetales de Arabidopsis thaliana y Oriza sativa y del genoma animal Mus musculus fueron extraídas y depuradas de la base de datos pública del Genebank mediante el diseño de algoritmos en lenguaje de programación Python. Se analizaron las distribuciones de las variables frecuencia de uso y tamaño de los genes, exones e intrones por cromosoma y entre genomas. …”
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Harnessing Facebook to Investigate Real-World Mentions of Adverse Events of Glucagon-Like Peptide-1 Receptor Agonist (GLP-1 RA) Medications: Observational Study of Facebook Posts F... by Amrutha S Alibilli, Vidur Jain, Heran Mane, Xiaohe Yue, Alexandria Ratzki-Leewing, Junaid S Merchant, Shaniece Criss, Quynh C Nguyen, Rozalina G McCoy, Thu T Nguyen

“…Using English language social media posts from the United States, we examined discussions of adverse event mentions for posts referencing 7 GLP-1 RA weight loss product categories (ie, semaglutide, Ozempic, Wegovy, tirzepatide, Mounjaro, Zepbound, and GLP-1 RA as a class). All analyses were conducted using Python (version 3; Python Software Foundation) in a Google Colab environment. …”
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pySTARBURST99: The Next Generation of STARBURST99 by Calum Hawcroft, Claus Leitherer, Oskar Aranguré, John Chisholm, Sylvia Ekström, Sébastien Martinet, Lucimara P. Martins, Georges Meynet, Christophe Morisset, Andreas A. C. Sander, Aida Wofford

“…Synthesis models made with the Python version of the code and new input stellar models are labeled pyS tarburst 99. …”
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Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods by Anton S. Chepurnenko, Tatiana N. Kondratieva, Ebrahim Al-Wali

“…Tables of initial data for training models for all samples are presented, a statistical analysis of the characteristics of the initial data sets is carried out. …”
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OPTIMIZATIONS OF DEEP LEARNING OBJECTS DETECTION MODELS FOR INFERENCE ACCELERATION ON GENERAL-PURPOSE AND HARDWARE-ACCELERATED SINGLE-BOARD PLATFORMS by Dmytro Myroniuk, Bohdan Blahitko

“…All models were prepared for the experiment with 8-bit full integer quantization and output-TFLite model generation using TensorFlow Object Detection API Docker images and Python 3.11. …”
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LASSIM-A network inference toolbox for genome-wide mechanistic modeling. by Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn E M Nordling, Elin Nyman, Sylvie Schulze, Colm E Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson

“…The rationale behind LASSIM is that biological GRNs can be simplified using a limited subset of core genes that are assumed to regulate all other gene transcription events in the network. …”
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An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus by J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García

“…Our analysis applies these techniques using the Python programming language as a tool. It also considers words that describe symptoms related to hypoglycemia. …”
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GrainShape: A landmark-annotated image dataset of japonica rice grains for geometric morphometric analysisZENODO by Jiexiong Xu

“…The repository is organized into four zip archives. grainimages.zip holds the 231 color JPEG photographs. landmarks.zip provides 231 plain-text tables listing the x,y coordinates of 30 homologous radial landmarks that capture length, width, curvature, tip geometry, shoulder position, awn insertion point, and subtle asymmetries. contours.zip contains 231 standalone PNG drawings showing a spline-interpolated outline reconstructed solely from each landmark set—no photographic background is included—facilitating rapid visual checks of digitization accuracy. scripts.zip contains all custom Python scripts for generating the landmark sets and reproducing the figures and tables presented in the paper. …”
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A deep learning approach: Physics-informed neural networks for solving the 2D nonlinear Sine–Gordon equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…We trained the PINNs model and run various tests using Python software as a computational tool. We gave the theoretical error bounds of the proposed approach in approximating the NLSGE. …”
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Blockchain Technology for Secure Patient Data Sharing by Robert-Stefan CIZMAŞ

“…A containerized backend, orchestrated via Docker, integrates Node.js and Python microservices to handle IPFS uploads and real-time anomaly detection. …”
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