HOX gene expression in the developing human spine by John E. G. Lawrence, Kenny Roberts, Elizabeth Tuck, Tong Li, Lira Mamanova, Petra Balogh, Inga Usher, Alice Piapi, Pavel Mazin, Nathaniel D. Anderson, Liam Bolt, Laura Richardson, Elena Prigmore, Xiaoling He, Roger A. Barker, Adrienne Flanagan, Matthew D. Young, Sarah A. Teichmann, Omer Bayraktar, Sam Behjati

“…Our findings shed new light on HOX gene expression in the developing spine, highlighting a HOX gene ‘source code’ in neural-crest cell derivatives.…”
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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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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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Solar Radio Burst Detection Based on Deformable DETR by Mingming Wang, Guowu Yuan, Hao Zhou, Chengming Tan, Hao Wu

“…The model proposed in this study provides robust support for preliminary SRB data processing and has significant implications for space weather forecasting. The source code and data are available on ​​​​​​ https://github.com/onewangqianqian/SSA-Co-Deformable-DETR.git , and the software is archived on Zenodo.…”
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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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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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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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Taming Mambas for 3D Medical Image Segmentation by Luca Lumetti, Vittorio Pipoli, Kevin Marchesini, Elisa Ficarra, Costantino Grana, Federico Bolelli

“…Additionally, we address the primary limitations of existing Mamba-based architectures by proposing alternative architectural designs, hence improving segmentation performances. The source code is publicly available to ensure reproducibility and facilitate further research: <uri>https://github.com/LucaLumetti/TamingMambas</uri>…”
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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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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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Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation by Adil Sayyouri, Ahmed Bencherqui, Hanaa Mansouri, Hicham Karmouni, Hassane Moustabchir, Mhamed Sayyouri, Abderrahim Bourkane, Abdeljabbar Cherkaoui, S. S. Askar, Mohamed Abouhawwash

“…Its integration with Kapur entropy also enabled precise segmentation of medical images, underlining its strong potential for critical biomedical applications. The CPO source code will be available on the Github account: adil.sayyouri@etu.uae.ac.ma after acceptance.…”
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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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