Interpretable Machine Learning Biosignature Detection From Ocean Worlds Analogue CO2 Isotopologue Data by Lily A. Clough, Victoria DaPoian, Jonathan D. Major, Lauren M. Seyler, Brett A. McKinney, Bethany P. Theiling

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Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults by Diego Robles Cruz, Andrea Lira Belmar, Anthony Fleury, Méline Lam, Rossana M. Castro Andrade, Sebastián Puebla Quiñones, Carla Taramasco Toro

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Multi-Information-Assisted Bistatic Active Sonar Target Tracking for Autonomous Underwater Vehicles in Shallow Water by Zhanpeng Bao, Yonglin Zhang, Yupeng Tai, Jun Wang, Haibin Wang, Chao Li, Chenghao Hu, Peng Zhang

“…The proposed algorithm provides AUVs with enhanced tracking autonomy, significantly advancing their capability in ocean engineering applications.…”
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Virtual Cluster Partitioning Method of Active Distribution Networks Using Quantum Particle Swarm Optimization and Sector Search by Wei Liu, Yifan Tong, Xinran Xing, Xi Chen, Bo Hu, Qian Sun, Yufei Wang, Huaxin Li, Huidong Guo

“…The method improved computational efficiency, with a cluster power supply rate over 0.6 and modularity above 0.7, ensuring balanced partitioning. …”
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What patients and caregivers want to know when consenting to the use of digital behavioral markers by Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

“…Abstract Artificial intelligence (AI)-based computational tools for deriving digital behavioral markers are increasingly able to automatically detect clinically relevant patterns in mood and behavior through algorithmic analysis of continuously and passively collected data. …”
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Robust Underwater Vehicle Pose Estimation via Convex Optimization Using Range-Only Remote Sensing Data by Sai Krishna Kanth Hari, Kaarthik Sundar, José Braga, João Teixeira, Swaroop Darbha, João Sousa

“…Accurate localization plays a critical role in enabling underwater vehicle autonomy. In this work, we develop a robust infrastructure-based localization framework that estimates the position and orientation of underwater vehicles using only range measurements from long baseline (LBL) acoustic beacons to multiple on-board receivers. …”
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Empirically Informed, Idiographic Networks of Concordant and Discordant Motives: An Experience Sampling Study With Network Analysis in Non-Clinical Participants by Thies Lüdtke, Fabian Steiner, Thomas Berger, Stefan Westermann

“…Based on the ESM data, idiographic networks of the seven most important motives per person were computed using mlVAR (https://doi.org/10.32614/CRAN.package.mlVAR). …”
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FUR-DETR: A Lightweight Detection Model for Fixed-Wing UAV Recovery by Yu Yao, Jun Wu, Yisheng Hao, Zhen Huang, Zixuan Yin, Jiajing Xu, Honglin Chen, Jiahua Pi

“…Visual inspection technology can make up for the limitations of GPS and communication and improve the autonomy and adaptability of the system. However, the existing RT-DETR algorithm is limited by single-path feature extraction, a simplified fusion mechanism, and high-frequency information loss, which makes it difficult to balance detection accuracy and computational efficiency. …”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…Existing models often lack predictive accuracy, computational efficiency, and adaptability to changing environmental conditions. …”
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Evaluation of Cluster Algorithms for Radar-Based Object Recognition in Autonomous and Assisted Driving by Daniel Carvalho de Ramos, Lucas Reksua Ferreira, Max Mauro Dias Santos, Evandro Leonardo Silva Teixeira, Leopoldo Rideki Yoshioka, João Francisco Justo, Asad Waqar Malik

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Blockchain-Secure Gaming Environments: A Comprehensive Survey by Vinay Rishiwal, Udit Agarwal, Mano Yadav, Aziz Alotaibi, Preeti Yadav, Sudeep Tanwar

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SnapStick: Merging AI and Accessibility to Enhance Navigation for Blind Users by Shehzaib Shafique, Gian Luca Bailo, Silvia Zanchi, Mattia Barbieri, Walter Setti, Giulio Sciortino, Carlos Beltran, Alice De Luca, Alessio Del Bue, Monica Gori

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Next-Gen UAV-Satellite Communications: AI Innovations and Future Prospects by Sherief Hashima, Ahmad Gendia, Kohei Hatano, Osamu Muta, Mostafa S. Nada, Ehab Mahmoud Mohamed

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Predicting Performance of Hall Effect Ion Source Using Machine Learning by Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe

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The Application of Artificial Intelligence in Medical Diagnostics: Implications for Sports Medicine by Michał Bolek, Dominika Musialska, Aleksandra Kędzia, Bartosz Jagieła, Monika Fidyk, Magda Minkiewicz, Maciej Dyda

“…Ensuring responsible AI use requires adherence to established medical ethics principles—autonomy, beneficence, nonmaleficence, and justice. …”
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Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control by Haonan Ye, Hongjun Tian, Qingyun Wu, Yihong Xue, Jiayu Xiao, Guijie Liu, Yang Xiong

“…The proposed solution significantly advances USV autonomy, addressing critical ocean engineering challenges such as navigation in dynamic environments, object avoidance, and energy-constrained operations for unmanned maritime systems.…”
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The Representation of Wellness Programs in Plastic Surgery Residency by Kevin Schlidt, MD, Nicholas Hricz, MD, Jessica El-Mallah, DO, Olivia Waldron, BS, Allison Karwoski, BS, Yvonne Rasko, MD

“…JASP [version 0.18.3; computer software]) as well as Microsoft Excel. Categorical variables were compared using binomial tests and chi-squared tests. …”
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Acceptability and use of HIV self-testing among young people in sub-Saharan Africa: a mixed methods systematic review by Eshetu Andarge Zeleke, Jacqueline H Stephens, Hailay Abrha Gesesew, Behailu Merdekios Gello, Anna Ziersch

“…Acceptability of HIVST computed from a single item asking YP on their preference or willingness or demand for HIVST was moderate (34–67%) to high (≥ 67%) among YP in SSA. …”
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Fear of intimate partner and women’s engagement in exercise: insights from a national survey in Kenya by Joshua Okyere, Abigail Kabukie Dosoo, Castro Ayebeng, Precious Adade Duodo, Kwamena Sekyi Dickson

“…Cross-tabulations and two sets of binary logistic regression models were computed in STATA version 18. Statistical significance was set at p < 0.05. …”
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International organizations in promoting academic integrity in a globalized world: Ukrainian view by Artem Artyukhov, Dmytro Chumachenko

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