Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code by Yuting Ren, Zhiyu Shao, Qi Zhang, Wang Feng, Lei Xu, Huafeng Gong, Scott Yost, Lei Chen, Hongxiang Chai

“…This study addresses these issues by integrating a semiempirical flow diversion formula into the SWMM source code. The semiempirical formula, derived from hydraulic experiments and computational fluid dynamics simulations, captures the flow dynamics at T-shaped intersections. …”
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ELTrack: Events-Language Description for Visual Object Tracking by Mohamad Alansari, Khaled Alnuaimi, Sara Alansari, Sajid Javed

“…Extensive experiments demonstrate that ELTrack achieves significantly better performance across a variety of publicly available VOT datasets. The source code of the ELTrack is publicly available at: <uri>https://github.com/HamadYA/ELTrack-Correlating-Events-and-Language-for-Visual-Tracking</uri>.…”
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ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI by Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu

“…The software, along with its source code and manual, can be accessed online.…”
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The Water Table Model (WTM) (v2.0.1): coupled groundwater and dynamic lake modelling by K. L. Callaghan, K. L. Callaghan, K. L. Callaghan, A. D. Wickert, A. D. Wickert, A. D. Wickert, R. Barnes, J. Austermann

“…We compare the present-day result to other simulations and real-world data. Open-source code for the WTM is available on GitHub and Zenodo.…”
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TCI-Net: Structural Feature Enhancement and Multi-Level Constrained Network for Reliable Thin Crack Identification on Concrete Surfaces by Shiming Li, Fengtao Yan, Zhijie Li, Qingfeng Hu, Shiqian Xu, Shilian Liu

“…The results demonstrate that the proposed approach accurately identifies fine cracks and exhibits enhanced robustness against challenging conditions such as illumination variations and environmental interference. The source code is publicly available at <uri>https://github.com/SmileLeeCN/ThinCrackIdentification</uri>.…”
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Cybersecurity requirements for medical devices in the EU and US - A comparison and gap analysis of the MDCG 2019–16 and FDA premarket cybersecurity guidance by Max Ostermann, Rebecca Mathias, Fatemeh Jahed, Mitchell B. Parker, Florence D. Hudson, William C. Harding, Stephen Gilbert, Oscar Freyer

“…First, the study compares these documents with a baseline requirements framework derived from international standards and best practices, revealing gaps in the thematic areas of “Cryptography,” “Authentication &amp; Access Control,” and “Source Code/Software Development.” Second, the guidance documents were compared with real-world cybersecurity incidents, showing that the current guidance documents would help to mitigate the weaknesses of important vulnerability examples, while recommendations are missing in both guidance documents, but more so in MDCG 2019–16, for the most important weaknesses. …”
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PyCSBtool: Python-Based GUI Learning Tool for Basics Control System Education by C. H. Manathunga, R. A. D. D. Dharmasiri, W. K. Indika L. Wanniarachchi, M. K. Jayananda, Tadachika Nakayama

“…This makes both basic and advanced control system ideas easier to understand. The source code and documentation for PyCSBtool are openly available at <uri>https://github.com/dhanu2017/PyCSBtool</uri>…”
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PatchTSFL: Patch Fourier Enhanced Linear for Long-Term Time-Series Forecasting by Ling Li, Xianyun Wen, Weibang Li, Chengjie Li, Chengfang Zhang

“…These findings establish PatchTSFL as an effective and efficient solution for long-term time series prediction. The source code is available at: <uri>https://github.com/WESTBROOK-0/PatchTSFL</uri>.…”
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An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

“…The resulting mean ranks and p-values unequivocally demonstrate the superior efficacy of the proposed algorithm in addressing the feature selection problem. The Matlab source code for the proposed approach is available for access via the link &#x201C;<uri>https://www.mathworks.com/matlabcentral/fileexchange/159728-an-opposition-based-gwca-for-thefs-problem</uri>&#x201D;.…”
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Deep learning using bulk RNA-seq data expands cell landscape identification in tumor microenvironment by Xin Wang, Hongjiu Wang, Dan Liu, Na Wang, Danni He, Zheyu Wu, Xu Zhu, Xiaoling Wen, Xuhua Li, Jin Li, Zhenzhen Wang

“…DCNet provides a foundation for decoding TME heterogeneity. The source code of DCNet can be found on GitHub: https://github.com/xindd/DCNet.…”
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HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors by Duong Thanh Tran, Nhat Truong Pham, Nguyen Doan Hieu Nguyen, Leyi Wei, Balachandran Manavalan

“…Furthermore, the HyPepTox-Fuse server is freely accessible at https://balalab-skku.org/HyPepTox-Fuse/ and the source code is publicly available at https://github.com/cbbl-skku-org/HyPepTox-Fuse/. …”
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Global Trends and Empirical Metrics in the Evaluation of Code Smells and Technical Debt: A Bibliometric Study by Ronald Henry Diaz Arrieta, Byron Leoncio Diaz Monroy, Luis Javier Castillo Heredia, Alexandra Gabriela Valenzuela Cobos

“…Among the critical factors that affect these attributes are code smells, indicators of structural deficiencies in the source code, which, although they do not directly affect functionality, significantly increase technical debt and maintenance costs. …”
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Deep Learning Segmentation Techniques for Atherosclerotic Plaque on Ultrasound Imaging: A Systematic Review by Laura De Rosa, Serena L’Abbate, Eduarda Mota da Silva, Mauro Andretta, Elisabetta Bianchini, Vincenzo Gemignani, Claudia Kusmic, Francesco Faita

“…Limitations included the scarcity of large, annotated, and publicly available datasets; the lack of external validation; and the limited availability of open-source code. Conclusions: DL-based approaches show considerable promise for advancing atherosclerotic plaque analysis in US imaging. …”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…Third, a cross-attention mechanism fuses the extracted features of the drug and protein, followed by fully connected layers to finalize the prediction. The source code of MEGDTA is available from https://github.com/liyijuncode/MEGDTA . …”
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…Finally, the obtained drug and protein feature vectors are combined to predict DTA through the fully connected layer. The source code can be downloaded from https://github.com/zhuziguang/GS-DTA . …”
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Facilitating bootstrapped and rarefaction-based microbiome diversity analysis with q2-boots [version 1; peer review: 1 approved, 2 approved with reservations] by J Gregory Caporaso, Evan Bolyen, Anthony Simard, Andrew Manley, Jeff Meilander, Chloe Herman, Elizabeth Gehret, Isaiah Raspet

“…Conclusions A challenge of this work was deciding how to integrate distance matrices that were computed on n resampled feature tables, as a simple average of pairwise distances (median or mean) does not account for the structure of distance matrices. q2-boots provides three options, and we show here that the results of these approaches are highly correlated. q2-boots is free and open source. Source code can be found at https://github.com/caporaso-lab/q2-boots; installation instructions and a tutorial can be found in the project’s documentation at https://q2-boots.readthedocs.io.…”
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Perturb, Attend, Detect, and Localize (PADL): Robust Proactive Image Defense by Filippo Bartolucci, Iacopo Masi, Giuseppe Lisanti

“…Future research will aim to extend PADL to work on more challenging scenarios, including video content protection and high-resolution images, ensuring its effectiveness across diverse media formats and real-world applications. The source code will be publicly released.…”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…Experimental results demonstrate that ENGRU&#x2019;s ability achieves high accuracy and efficiency in goal state predictions. The source code for ENGRU is available at (<uri>https://github.com/kaopanboonyuen/ENGRU</uri>).…”
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Autonomous Search of Real-Life Environments Combining Dynamical System-Based Path Planning and Unsupervised Learning by Uyiosa Philip Amadasun, Patrick Mcnamee, Zahra Nili Ahmadabadi, Peiman Naseradinmousavi

“…This suggests that CCPP may be more adaptive to increasing environmental size and complexity, despite having longer absolute coverage times. The source code is available at: <uri>https://gitlab.com/dsim-lab/paper-codes/Autonomous_search_of_real-life_environments</uri>…”
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Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems by Nima Khodadadi, Mohammad Ehteram, Hojat Karami, Mohammad H. Nadimi-Shahraki, Laith Abualigah, Seyedali Mirjalili

“…The results show MOFDA's ability to outperform well-known algorithms, achieving significant convergence and broad coverage, thus demonstrating its advanced capability in multi-objective optimization. The MOFDA source code is available at: https://nimakhodadadi.com/algorithms-%2B-codes.…”
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