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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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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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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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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A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism by Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek, Abdeslam Jakimi, Rachid Saadane

“…Fourth, we define code generation templates to translate the graphical models into executable agent source code. Finally, we validate the proposed approach to demonstrate its effectiveness and applicability in real-world scenarios, reducing development time and avoiding the costs associated with NLP services.…”
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From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…We provide an open‐source code repository (GitHub website: https://github.com/XuanjunLu/PHBCP) to facilitate effective collaboration between medical and technical experts, thereby advancing the field of computational pathology in brain cancer.…”
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BVQA: Connecting Language and Vision Through Multimodal Attention for Open-Ended Question Answering by Md. Shalha Mucha Bhuyan, Eftekhar Hossain, Khaleda Akhter Sathi, Md. Azad Hossain, M. Ali Akber Dewan

“…Extensive experiments on BVQA dataset show that the proposed method outperformed the existing baseline across various answer categories. The benchmark and source code is available at <monospace><uri>https://github.com/eftekhar-hossain/Bengali-VQA</uri></monospace>.…”
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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

“…The SGCL-LncLoc web server is available at http://csuligroup.com:8000/SGCL-LncLoc. The source code can be obtained from https://github.com/CSUBioGroup/SGCL-LncLoc.…”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…The software pipeline is implemented in Python using the Pandas, NumPy, OpenCV, SciPy, Sklearn, Umap, CatBoost and Plotly libraries. The source code is available at: https://github.com/igor2704/Hyperspectral_images. …”
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Physics-informed Priors Improve Gravitational-wave Constraints on Neutron-star Matter by Spencer J. Magnall, Christian Ecker, Luciano Rezzolla, Paul D. Lasky, Simon R. Goode

“…Given their ability to improve the astrophysical inference of binary mergers involving neutron stars, we advocate for these physics-informed priors to be used as standard in the literature and provide open-source code for reproducibility and adaptation of the method.…”
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LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…The experimental results show that the method achieves superior performance in both the new view synthesis task and the 3D reconstruction task, outperforming other classical methods. Our source code will be published at https://github.com/SongJiang-WHU/LiDGS.…”
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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

“…Therefore, while employing GT-NMR or other graph-based methods for the rapid and routine prediction of NMR chemical shifts, it is advisable to utilize nSPS to assess their suitability. The source codes and trained model of GT-NMR are publicly available at GitHub. …”
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Modelagem hidrológica em microbacia hidrográfica parte I: aprimoramento do modelo HidroBacia Hydrologic modeling in a small watershed part I: improvement of the HidroBacia model by Sidney S. Zanetti, José M. A. da Silva, Elias F. Sousa, Vicente de P. S. de Oliveira, Frederico T. de Almeida

“…This work consisted of improvement of the HidroBacia model by means of identification and correction of mistakes in its software source code. The mistakes were identified through adjustment during runoff hydrograph simulations using an experimental watershed data bank. …”
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Be Sure to Use the Same Writing Style: Applying Authorship Verification on Large-Language-Model-Generated Texts by Janith Weerasinghe, Ovendra Seepersaud, Genesis Smothers, Julia Jose, Rachel Greenstadt

“…The dataset and the source code used in this analysis have been made public to allow for further analysis of new language models.…”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…This dataset consists of 111,897 Solidity source code samples, ensuring the practical validation of the proposed approach. …”
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Software sustainability of global impact models by E. Nyenah, P. Döll, P. Döll, D. S. Katz, R. Reinecke

“…Furthermore, only 5 out of 10 models for which the source code, either in part or in its entirety, is written in Python show good compliance with PEP8 coding standards, with the rest showing low compliance. …”
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