Towards a more objective and high-throughput spheroid invasion assay quantification method by Rozanne W. Mungai, Roger J. Hartman, Grace E. Jolin, Kevin W. Piskorowski, Kristen L. Billiar

“…We provide the analysis code in both MATLAB and Python languages as well as a GUI for ease of use for researchers with a range of computer programming skills and for applications in a variety of biological research areas such as wound healing and cancer metastasis.…”
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Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria by Jamilu Sani, Adeyemi Oluwagbemiga, Mohamed Mustaf Ahmed

“…Feature importance was assessed using permutation importance and Gini impurity score. Results: Among all models, Random Forest achieved the best performance, with 90 % accuracy, 0.90 precision and recall, an F1-score of 0.91, and an AUROC of 0.90. …”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans by Abdullah Al-Saleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma, Seyed Jalaleddin Mousavirad

“…Because traditional deep learning models store all their data together, they raise questions about privacy, complying with regulations and the different types of data used by various institutions. …”
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Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study by Michael Steven Yao, Lawrence Huang, Emily Leventhal, Clara Sun, Steve J Stephen, Lathan Liou

“…Participant skills in leveraging Python for analyzing medical datasets improved after the datathon, and survey respondents enjoyed participating in the datathon. …”
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The development and evaluation of an automatic clitic generator for Pashto language by Aziz Ud Din, Ihsan Rabbi, Umar Farooq, Jawad Khan, Younhyun Jung

“…The proposed clitic generation system is developed in Python, which generates cliticised sentences from the semantic representation of the sentences. …”
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Optimized formulas of the gravitational field of a vertical cylindrical prism by Xiao-Le Deng, Nico Sneeuw, Dimitrios Tsoulis

“…Using the second-order 3D Taylor series expansion method provides sufficient computation precision, i.e. all relative errors of the GP, GV, and GGT are smaller than 10−2 in the numerical experiments. …”
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Research on Parametric Modeling and Model Transformation of Proton Hospital Based on BIM by Shoufu Li, Tao Yu, Yang Liu, Yan Li, Bo Lei, Wenjing Qiao, Yuyan Zhang

“…The script file contained all the .sat file path and parameter information to realize the conversion of the BIM model to Abaqus 2020 finite element software. …”
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pySEOBNR: A software package for the next generation of effective-one-body multipolar waveform models by Deyan P. Mihaylov, Serguei Ossokine, Alessandra Buonanno, Hector Estelles, Lorenzo Pompili, Michael Pürrer, Antoni Ramos-Buades

“…We present pySEOBNR, a Python package for gravitational-wave (GW) modeling developed within the effective-one-body (EOB) formalism. …”
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A New CDM-Based Approach for the Nonlinear Numerical Structural Analysis of Flax Fiber Reinforced Plastic by Rostislav Svidler, Roman Rinberg, Sascha Mueller, Lothar Kroll

“…Numerical implementation is achieved through a user-defined field (USDFLD) subroutine, accompanied by a pre-processing Python script for managing experimental data, computing data fields, and calculating parameters. …”
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The Application of Statistical Parametric Mapping to Evaluate Differences in Topspin Backhand between Chinese and Polish Female Table Tennis Players by Ziemowit Bańkosz, Sławomir Winiarski

“…Statistical parametric mapping (SPM) was calculated using SPM1D in a Python package that offered a high-level interface to SPM1D. …”
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Scalable, Flexible, and Affordable Hybrid IoT-Based Ambient Monitoring Sensor Node with UWB-Based Localization by Mohammed Faeik Ruzaij Al-Okby, Thomas Roddelkopf, Jiahao Huang, Mohsin Bukhari, Kerstin Thurow

“…A monitoring server was developed in Python to track the movement of the portable sensor node and display live measurements of the environment. …”
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Creating a Scholarly API Cookbook: Supporting Library Users with Programmatic Access to Information by Vincent F. Scalfani, Kevin W. Walker, Lance Simpson, Avery M. Fernandez, Vishank D. Patel, Anastasia Ramig, Cyrus Gomes, Michael T. Moen, Adam M. Nguyen

“…API tutorials are available in Python, Bash, Matlab, and Mathematica. A tutorial for interacting with library catalog data programmatically via Z39.50 is also included, as traditional library catalog metadata is rarely available via an API. …”
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SEXCMD: Development and validation of sex marker sequences for whole-exome/genome and RNA sequencing. by Seongmun Jeong, Jiwoong Kim, Won Park, Hongmin Jeon, Namshin Kim

“…SEXCMD comprises simple Python and R scripts and is freely available at https://github.com/lovemun/SEXCMD.…”
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Tracking Urban Heat Island Dynamics Using Open Source Tools and Free Data by S. Šamanović, O. Bjelotomić Oršulić, T. Krajina, D. Markovinović

“…Urban expansion was examined using the Normalized Difference Built-up Index (NDBI). All indices were derived from multispectral and thermal bands using QGIS 3.24 and Python 3.12 libraries including GDAL, rasterio, NumPy, and Matplotlib. …”
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Nitrogen Dioxide (NO2) Level Changes during the Control of COVID-19 Pandemic in Thailand by Tin Ko Oo, Noppol Arunrat, Praeploy Kongsurakan, Sukanya Sereenonchai, Can Wang

“…The Google Earth Engine JavaScript API was used to retrieve and calculate the NO2 data. Python was also used to extract NO2 values from the output raster data. …”
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Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

“…The MS COCO (Microsoft Common Objects in Context) dataset weights are included in the YOLOv5 deep learning network for transfer learning. Finally, Python TensorBoard was used to evaluate and visualize the model's performance. …”
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Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages by Izzet Turkalp Akbasli, Ahmet Ziya Birbilen, Ozlem Teksam

“…The fine-tuned model demonstrated superior performance metrics across all evaluated aspects compared to the pretrained model. …”
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Multiplier leadership optimization algorithm (MLOA): unconstrained global optimization approach for melanoma classification by Sukanta Ghosh, Amar Singh, Shakti Kumar

“…The proposed approach is implemented in Python and tested on the PH2 and ISIC2020 datasets. …”
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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…The Smart predictor, constructed using Shapash - a Python library for Explainable Artificial Intelligence - was utilized to deploy the two-level Random Forest classifier model. …”
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