Large Scale Explorative Oligonucleotide Probe Selection for Thousands of Genetic Groups on a Computing Grid: Application to Phylogenetic Probe Design Using a Curated Small Subunit... by Faouzi Jaziri, Eric Peyretaillade, Mohieddine Missaoui, Nicolas Parisot, Sébastien Cipière, Jérémie Denonfoux, Antoine Mahul, Pierre Peyret, David R. C. Hill

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Application Efficacy of Nursing Interventions Guided by the Medication-Psychological-Nursing-Family-Support (MPNFS) Framework in Mitigating Cancer-Related Fatigue and Enhancing Pul... by Zhu Y, Liu Y

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Calibração e aplicação do modelo MUSLE em uma microbacia hidrográfica nos Tabuleiros Costeiros brasileiros Calibration and application of the MUSLE model in a small watershed of th... by Junior C. Avanzi, Marx L. N. Silva, Nilton Curi, Carlos R. de Mello, Sebastião Fonseca

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Changes in Race Performance During the Underwater Phases of a 200 m Bi-Fins Race Simulation After Application of Respiratory Muscle Training—A Case Study in the Current World Recor... by Tomáš Michalica, Jakub Březina, Marek Polach, Dennis-Peter Born, Jiří Mališ, Zbyněk Svozil, Eva Kociánová

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Application of a Dual-Stream Network Collaboratively Based on Wavelet and Spatial-Channel Convolution in the Inpainting of Blank Strips in Marine Electrical Imaging Logging Images:... by Guilan Lin, Sinan Fang, Manxin Li, Hongtao Wu, Chenxi Xue, Zeyu Zhang

“…By designing a texture-aware data prior algorithm, a high-quality training dataset with geological rationality is generated. …”
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Supercapacitor, electrochemical measurement and sun light driven nano-photocatalytic applications of Co2TiO4/CoTiO3 nanocomposites synthesized from Pechini sol-gel method by Mohammad Reza Saadati-Gullojeh, Masoud Salavati-Niasari, Mojgan Ghanbari, Ali Ehsani

“…The present paper scrutinizes the production and versatile application of Co2TiO4/CoTiO3 nanocomposites (NCs), especially their photocatalytic performance, which outperforms their superior supercapacitor storage. …”
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机器学习算法在食用植物油掺伪鉴别中应用的 研究进展Research progress on application of machine learning algorithms in adulteration identification of edible vegetable oils... by 吕壮，黄金，兰梓溶，代婷玉，许宙，陈茂龙，焦叶，文李，程云辉，丁利 LYU Zhuang, HUANG Jin, LAN Zirong, DAI Tingyu, XU Zhou, CHEN Maolong, JIAO Ye, WEN Li, CHENG Yunhui, DING Li

“…Selecting an appropriate algorithm requires a comprehensive consideration of the characteristics of the data, the performance of the model, and the needs of practical applications to improve the accuracy and robustness of adulteration identification of edible vegetable oils, and provide strong technical support for the healthy development of edible vegetable oils market.…”
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Global burden of breast cancer and application of patient-reported outcomes in clinical trials: a systematic analysis based on the global burden of disease study 2021 and WHO inter... by Jiaxin Hao, Jiaxin Hao, Yijia Gong, Yijia Gong, Xiaowen Zhang, Xiaowen Zhang, Xiaowen Zhang, Minghong Du, Minghong Du, Minghong Du, Huan Wang, Huan Wang, Huan Wang, Guolin Guo, Mengqing Zhou, Tian Tian, Hongguo Rong, Hongguo Rong, Hongguo Rong

“…This study aims to evaluate the global burden and the application of patient-reported outcomes (PROs) in clinical trials of breast cancer.MethodsData of breast cancer burden is extracted from the Global Burden of Disease Study (GBD) 2021 database. …”
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Non-Invasive Parameter Identification of DC Arc Models for MV Circuit Breaker Diagnostics by Gabriele D’Antona, Camilo Trujillo-Arboleda, Massimiliano Amato, Marco Riva

“…Accurate electrical arc modeling with physically meaningful parameters is essential for the assessment of medium-voltage DC circuit breakers in industrial and railway applications. Laboratory testing and characterization, as outlined in the IEC 61992 standard series for railway applications, typically provide data to asses the operational behavior of the componentsin the power distribution system, including recorded waveforms of terminal voltage and current but not the insights and inputs needed for inner behavior analysis and design optimization. …”
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Preface to Special Issue on AI-Based Future Intelligent Networks and Communication Security by Sunil Kumar, Glenford Mapp, Abhay Bansal, Korhan Cengiz

“…Driven by technological advances in big data, AI, and ML, such systems potentially have a wide range of applications in networking and communication security. …”
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Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network by Himani Saini, Gopal Singh, Amrinder Kaur, Sunil Saini, Niyaz Ahmad Wani, Vikram Chopra, Zahid Akhtar, Shahid Ahmad Bhat

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Samsung Lithium Ion Battery for Uninterruptible Power Supply by Tshepo Sithole, Vasudeva Rao Veerdhi, Thembelani Sithebe

“…These findings confirm the superior performance of lithium-ion batteries in UPS applications, reinforcing their role in data centre energy storage.…”
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A comprehensive review of deep learning approaches for rice disease detection: Datasets, methodologies, and future directions by Usman Idris Ismail, Hui Na Chua, Rosdiadee Nordin, Muhammed Kabir Ahmed

“…Furthermore, it explores the limitations of existing models in terms of real-world deployment, including issues related to data diversity, domain adaptation, and hardware constraints. …”
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Advanced internet of things enhanced activity recognition for disability people using deep learning model with nature-inspired optimization algorithms by Mohammed Maray

“…Abstract Human activity recognition has complex applications because of its worldly use of acquisition devices, namely video cameras and smartphones, and its capability to take human activity data. …”
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Elbow Joint Angle Estimation Using a Low-Cost and Low-Power Single Inertial Device for Daily Home-Based Self-Rehabilitation by Manon Fourniol, Rémy Vauché, Guillaume Rao, Eric Watelain, Edith Kussener

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A Survey on Anti-Money Laundering Techniques in Blockchain Systems by Leyuan Liu, Xiangye Li, Tian Lan, Yakun Cheng, Wei Chen, Zhixin Li, Sheng Cao, Weili Han, Xiaosong Zhang, Hongfeng Chai

“…Furthermore, this study discusses the practical applications of these techniques and reviews commonly used datasets that support AML research. …”
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A multi-class driver behavior dataset for real-time detection and road safety enhancementdoi: 10.5281/zenodo.14908802. by Arafat Sahin Afridi, Arafath Kafy, Ms. Nazmun Nessa Moon, Md. Shahriar Shakil

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Applying Structural Equation Modeling to Second-language (L2) Research: Key Concepts and Fundamental Reconsiderations by حسام الدین قنبر

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Ship behavior pattern recognition method based on hybrid graph neural networks by Lin Ma, Lin Ma, Hao Cao, Hao Cao, Guo-You Shi, Guo-You Shi

“…These models leverage standardized automatic identification system data to improve feature extraction and recognition accuracy.ResultsExperimental results demonstrate that the proposed models achieve over 98% accuracy in ship behavioral pattern recognition, with fast convergence and superior performance compared to conventional GNN-based methods.DiscussionThe models provide robust and efficient solutions for maritime traffic analysis, offering significant potential for real-world applications in ship monitoring, intelligent navigation, and maritime safety management.…”
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Graph Neural Networks for Analyzing Trauma-Related Brain Structure in Children and Adolescents: A Pilot Study by Harim Jeong, Minjoo Kang, Shanon McLeay, R. J. R. Blair, Unsun Chung, Soonjo Hwang

“…This study explores the potential of graph neural networks (GNNs) in analyzing brain networks of children and adolescents exposed to trauma, addressing limitations in traditional neuroimaging approaches. MRI-based brain data from trauma-exposed and control groups were modeled as whole-brain networks using regions-of-interest (ROIs), with GNNs applied to capture complex, non-linear connectivity patterns. …”
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