Effects of Airless Bodies’ Regolith Structures and of the Solar Wind’s Properties on the Backscattered Energetic Neutral Atoms Flux by S. Verkercke, J.-Y. Chaufray, F. Leblanc, E. M. Bringa, D. Tramontina, L. Morrissey, A. Woodson

“…By considering spherical silica grains, the lunar regolith’s structure is described using the open-source code Large-scale Atomic/Molecular Massively Parallel Simulator (or LAMMPS), which allows a realistic description of grain-on-grain contacts. …”
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SoftGrasp: Adaptive grasping for dexterous hand based on multimodal imitation learning by Yihong Li, Ce Guo, Junkai Ren, Bailiang Chen, Chuang Cheng, Hui Zhang, Huimin Lu

“…These capabilities result in a 98% success rate in real-world experiments, achieving dexterous and stable grasping. Source code and demonstration videos are available at https://github.com/nubot-nudt/SoftGrasp.…”
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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

“…Combined with dedicated, uniform processing elements, this enables fast compilation from C source code (1.4 s mean compile time). Demonstrator measurements reveal energy efficiency of up to 601 int32 MIPS/mW at 0.59V and performance of up to 148 MIPS at 0.90 V. …”
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Blockchain and NFT-Based Solution for Genomic Data Management, Sharing, and Monetization by Ahmad Musamih, Khaled Salah, Raja Jayaraman, Samer Ellaham, Mohammed Omar, Ibrar Yaqoob

“…We provide guidelines for the generalizability of our solution beyond genomics and outline the challenges and limitations of the proposed solution. We make the source code of the smart contracts publicly available on GitHub.…”
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Transferring enhanced material knowledge via image quality enhancement and feature distillation for pavement condition identification by Zejiu Wu, Yuxing Zou, Boyang Liu, Zhijie Li, Donghong Ji, Hongbin Zhang

“…This study provides a novel insight into pavement condition identification. The source code of IQEFD will be made available at https://github.com/rainzyx/IQEFD .…”
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PINNing cerebral blood flow: analysis of perfusion MRI in infants using physics-informed neural networks by Christoforos Galazis, Christoforos Galazis, Ching-En Chiu, Ching-En Chiu, Tomoki Arichi, Anil A. Bharath, Anil A. Bharath, Marta Varela, Marta Varela

“…Frameworks like SUPINN have the potential to advance our understanding of the complex cardio-brain network physiology, aiding in the detection and management of diseases. Source code is provided at: https://github.com/cgalaz01/supinn.…”
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A Multi-Goal Particle Swarm Optimizer for Test Case Prioritization by Muhammad Nazir, Arif Mehmood, Waqar Aslam, Yongwan Park, Gyu Sang Choi, Imran Ashraf

“…Since it is very difficult to run all the updated source code every time, test case prioritization is needed to decrease the fee of regression testing. …”
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A progressive attention-based cross-modal fusion network for cardiovascular disease detection using synchronized electrocardiogram and phonocardiogram signals by Wei Peng Li, Joon Huang Chuah, Guo Jeng Tan, Chengyu Liu, Hua-Nong Ting

“…Notably, PACFNet not only excels in multi-modal settings but also maintains robust diagnostic capabilities even with missing modalities, underscoring its practical effectiveness and reliability. The source code is publicly available on Zenodo (https://zenodo.org/records/15450169).…”
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EMD-based local matching for occluded person re-identification by Hoang-Anh Nguyen, Thuy-Binh Nguyen, Hong-Quan Nguyen, Thi-Lan Le

“…These results underscore the robustness and efficacy of our approach. Our source code is made available at: https://github.com/anhnhust/emd-person-reid.…”
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Metric-based defect prediction from class diagram by Batnyam Battulga, Lkhamrolom Tsoodol, Enkhzol Dovdon, Naranchimeg Bold, Oyun-Erdene Namsrai

“…In the literature, various approaches such as machine learning (ML) and deep learning (DL), have been proposed and proven effective in detecting defects in source code during the implementation or testing phases of the software development life cycle (SDLC). …”
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Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus Syndromes by Mengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, Sigrún Helga Lund, Thilo van Eimeren, Lotta M. Ellingsen

“…Furthermore, our method outperforms these methods by reducing training time from several days to a few hours while providing a processing time of less than a second per subject. The source code and trained model will be made publicly available on GitHub.…”
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LightYOLO: Lightweight model based on YOLOv8n for defect detection of ultrasonically welded wire terminations by Jianshu Xu, Lun Zhao, Yu Ren, Zhigang Li, Zeshan Abbas, Lan Zhang, Md Shafiqul Islam

“…LightYOLO shows the potential for rapid detection on edge computing devices. The source code and dataset for our project is accessible at https://github.com/JianshuXu/LightYOLO.…”
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Infrared and visible image fusion network based on multistage progressive injection by Kaixuan Chang, Jianhua Huang, Xiyan Sun, Jian Luo, Shitao Bao, Huansheng Huang

“…Finally, we apply fusion methods to object detection scenarios, and the results show that MPIFusion exhibits significant superiority in such scenarios, providing more robust and reliable image support. The source code is available at https://github.com/Kaixuan-Chang/MPIFusion .…”
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Conformal Prediction for Uncertainty Quantification and Reliable HER2 Status Classification in Breast Cancer IHC Images by Surayuth Pintawong, Shanop Shuangshoti, Tikamporn Jitpasutham, Somruethai Shuangshoti, Kulachet Wiwatwarayos, Thananop Kobchaisawat, Thanarat H. Chalidabhongse

“…This selective prediction approach represents a practical step toward reliable automated HER2 assessment by focusing on high-confidence predictions. The source code of our implementation is available at: <uri>https://github.com/Surayuth/her2cp.git</uri>.…”
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Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets by Seongho Bak, Sowon Choi, Donguk Yang, Doyoon Kim, Heeseon Rho, Kyoobin Lee

“…These findings offer a robust approach for cross-continental knowledge transfer in renewable energy forecasting, particularly benefiting regions with limited historical data or newly installed systems. The source code is available on <uri>https://github.com/gist-ailab/transfer-learning-PV-forecasting</uri>…”
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CSSDet: small object detection via cross-scale feature enhancement on drone-view images by Gui Cheng, Qing Ding, Bowen Cai, Chaoya Dang, Yu Wang, Xiaolong Zuo, Zhenfeng Shao

“…The substantial experimental findings confirm that CSSDet attains comprehensive object detection performance on drone-view images. The source code is available at https://github.com/Gui-Cheng/CSSDet.…”
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A Bayesian phase 2 model based adaptive design to optimise antivenom dosing: Application to a dose-finding trial for a novel Russell's viper antivenom in Myanmar. by James A Watson, Thomas Lamb, Jane Holmes, David A Warrell, Khin Thida Thwin, Zaw Lynn Aung, Min Zaw Oo, Myat Thet Nwe, Frank Smithuis, Elizabeth A Ashley

“…The model based design can identify an optimal dose after fewer patients relative to the rule based design. Open source code for the simulations is made available in order to determine adequate sample sizes for future adaptive snakebite trials. …”
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Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer&#x2019;s Disease Diagnosis by Renping Yu, Chao Peng, Jixiang Zhu, Mingming Chen, Rui Zhang

“…Experimental results on ADNI dataset demonstrate the effectiveness of the proposed WMCL-HN in AD-related diagnosis tasks. The source code is available at <uri>https://github.com/pcehnago/WMCL-HN</uri>.…”
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Viability Study of SYCL as a Unified Programming Model for Heterogeneous Systems Based on GPUs in Bioinformatics by Manuel Costanzo

“…This standard facilitates the development of portable applications that can efficiently leverage the capabilities of different hardware devices, such as NVIDIA, Intel, and AMD GPUs, without needing significant modifications to the source code. Therefore, this thesis set out as its general objective to evaluate the feasibility of SYCL as a unified, portable, and efficient heterogeneous programming model for the design and development of computationally demanding applications on heterogeneous GPU-based systems, specifically in the field of bioinformatics. …”
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Climate sensitive growth and yield models in Canadian forestry: Challenges and opportunities by J.M. Metsaranta, M. Fortin, J.C. White, D. Sattler, W.A. Kurz, M. Penner, J. Edwards, W. Hays-Byl, R. Comeau, V. Roy

“…The climate sensitive growth and yield modelling initiative emphasizes collaboration, open data, and open-source code principles to ensure widespread accessibility and uptake of models, thus contributing to the sustainable management of forest resources. …”
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