A Fundamental Statistics Self-Learning Method with Python Programming for Data Science Implementations by Prismahardi Aji Riyantoko, Nobuo Funabiki, Komang Candra Brata, Mustika Mentari, Aviolla Terza Damaliana, Dwi Arman Prasetya

“…For evaluations, we generated 22 instances using source codes for <i>fundamental statistics</i> topics, and assigned them to 40 first-year undergraduate students at UPN Veteran Jawa Timur, Indonesia. …”
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Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images by Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Mohamed Ben Ammar, Monji Kherallah

“…These results highlight the potential of our hybrid deep ViT-CNN architecture for advancing tumor classification in histopathological images. The source code is accessible: https://github.com/abimouloud/TokenMixer .…”
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Methodology for collective location fixing of observed emergencies by intersection/resection based on mobile telecomunication application with cartographic interface by A. G. Miheev, V. D. Bryljov, V. S. Gruzinov, M. V. Savel'ev

“…This paper presents a description of the project, the proposed solution architecture. References to source code repositories are given. The results of the pilot versions of the software are given.…”
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RNAcare: integrating clinical data with transcriptomic evidence using rheumatoid arthritis as a case study by Mingcan Tang, William Haese-Hill, Fraser Morton, Carl Goodyear, Duncan Porter, Stefan Siebert, Thomas D. Otto

“…The platform is available at https://rna-care.mvls.gla.ac.uk/ , and its source code is https://github.com/sii-scRNA-Seq/RNAcare/ .…”
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2dSpAn-Auto: an automated tool for analysis of two-dimensional dendritic spine images by Shauvik Paul, Rahul Pramanick, Nirmal Das, Ewa Baczynska, Zeinab Bedrood, Tapabrata Chakraborti, Subhadip Basu, Jakub Wlodarczyk

“…The software, complete with the source code and comprehensive documentation, is available to the research community for non-commercial use under GNU General Public License (GPL) v3.…”
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DFAST_QC: quality assessment and taxonomic identification tool for prokaryotic Genomes by Mohamed Elmanzalawi, Takatomo Fujisawa, Hiroshi Mori, Yasukazu Nakamura, Yasuhiro Tanizawa

“…The web version is available at https://dfast.ddbj.nig.ac.jp/dqc/submit/ , and the source code for local use can be found at https://github.com/nigyta/dfast_qc .…”
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One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning by Qiang Wang, Xijian Fan, Ziqing Zhuang, Tardi Tjahjadi, Shichao Jin, Honghua Huan, Qiaolin Ye

“…A user-friendly interactive demo is available at http://cerealcropnet.com/, where researchers are invited to personally evaluate the proposed CHCNet. The source code for implementing CHCNet is available at https://github.com/Small-flyguy/CHCNet.…”
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Image Characteristic-Guided Learning Method for Remote-Sensing Image Inpainting by Ying Zhou, Xiang Gao, Xinrong Wu, Fan Wang, Weipeng Jing, Xiaopeng Hu

“…Moreover, our ablation studies reveal the effectiveness of GAM, FFSM, and SVD loss. Source code is publicly available on GitHub.…”
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Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA by Saeed Musaad Altalhi, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi, Rana Ahmad Bilal Khalid

“…To address this gap, the present study introduces a static analysis tool designed specifically for tri-model applications combining MPI, OpenMP, and CUDA in C++-based environments. The tool analyzes source code to identify both actual and potential runtime errors prior to execution. …”
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High-precision lung cancer subtype diagnosis on imbalanced exosomal data via Exo-LCClassifier by Siyu Zhan, Siyu Zhan, Hao Yu, Shuang Liu, Ke Qin, Lu Guo

“…Our solution integrates three advanced techniques: (1) DESeq2 for differential expression analysis, (2) WGAN for data augmentation, and (3) 1D CNN for feature learning and classification. The source codes are publicly available at: https://github.com/lanlinxxs/Exo-classifier.…”
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LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

“…These results underscore the model’s feasibility and robustness compared to other state-of-the-art object detection models. The source code and dataset will be available through the GitHub repository.…”
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Using large language models for enhanced fraud analysis and detection in blockchain based health insurance claims by Ruba Islayem, Senay Gebreab, Walaa AlKhader, Ahmad Musamih, Khaled Salah, Raja Jayaraman, Muhammad Khurram Khan

“…By overcoming the limitations of traditional systems, this framework offers a scalable and adaptable approach for healthcare and other domains. The SCs and source code are publicly available on GitHub.…”
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Legal Means of Providing the Principle of Transparency of the Artificial Intelligence by Yu. S. Kharitonova

“…In the context of professional liability of professional subjects, such as doctors, militants, or corporate executives of a juridical person, it is necessary to restrict the obligatory application of artificial intelligence if sufficient transparency is not provided.Scientific novelty: the interdisciplinary character of the research allowed revealing the impossibility and groundlessness of the requirements to completely disclose the source code or architecture of the artificial intelligence models. …”
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MDPNet: a dual-path parallel fusion network for multi-modal MRI glioma genotyping by Huaizhi Wang, Haichao Liu, Fang Du, Fang Du, Fang Du, Di Wang, Xianhao Huo, Jihui Tian, Lijuan Song, Lijuan Song, Lijuan Song

“…The achieved classification accuracies for IDH, ATRX, and 1p/19q reach 86.7%, 92.0%, and 89.3%, respectively. The source code of this study can be viewed at https://github.com/whz847/MDPNet.ConclusionThe proposed framework exhibits significant advantages in integrating heterogeneous features from multi-modal MRI data. …”
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CAFU-Net: A Context-Aware Feature Aggregation Network for Lung Nodule Segmentation by Jiachen Hou, Yingqi Lu, Zhougui Ling, Tao Li, Xiangsuo Fan, Yanna Qin, Qingnan Huang

“…These experimental results fully validate the superiority and robustness of CAFU-Net in the task of pulmonary nodule segmentation. The source code and segmentation images will be released at <uri>https://github.com/XiaoBai-Lyq/CAFU-Net</uri>.…”
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Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data by Cristina Mazzali, Pietro Magnoni, Alberto Zucchi, Giovanni Maifredi, Luca Cavalieri d’Oro, Maria Letizia Gambino, Anna Clara Fanetti, Pietro Giovanni Perotti, Marco Villa, Maria Grazia Valsecchi, Daria Vigani, Claudio Lucifora, Antonio Giampiero Russo

“…From each included study, we extracted data on design, algorithms used for outcome identification (sources, coding systems, codes, time criteria/thresholds), and whether significant associations with SARS-CoV-2 infection were reported.ResultsWe identified six studies investigating acute and chronic conditions grouped by clinical domain (cardiovascular, respiratory, neurologic, mental health, endocrine/metabolic, pediatric, miscellaneous). …”
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River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements by J. Marggraf, G. Dramais, J. Le Coz, B. Calmel, B. Camenen, D. J. Topping, W. Santini, G. Pierrefeu, F. Lauters

“…This method that comes with a flexible, open-source code is the first to propose an applicable uncertainty estimation that could be adapted to other flux computation methods.…”
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Recent Developments to the ANSWERS® Monte Carlo Codes MONK® and MCBEND® by Fildes Jessica, Richards Simon, Bird Adam, Cox Andrew, Fry Timothy, Hanlon David, Jones Brian, Long David, Tantillo Francesco, Wright George, Hiles Richard

“…As MONK and MCBEND share a significant amount of source code, some of these new developments are in common between the two codes and some are specific to each. …”
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Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review by Viet Long Bui, Angus E. Hughes, Romain Ragonnet, Michael T. Meehan, Alec Henderson, Emma S. McBryde, James M. Trauer

“…To improve transparency and reproducibility, open-source code sharing, and standardised reporting are recommended to enhance ABM reliability in studying epidemiologically complex diseases like TB.…”
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%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests by Jacques K. Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili

“…The SAS programmer can modify the source code to include other diagnostic measures and variance estimation methods. …”
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