From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

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Building a modern data platform based on the data lakehouse architecture and cloud-native ecosystem by Ahmed AbouZaid, Peter J. Barclay, Christos Chrysoulas, Nikolaos Pitropakis

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Integrating Bayesian Knowledge Tracing and Human Plausible Reasoning in an Adaptive Augmented Reality System for Spatial Skill Development by Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou

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Impact of Y chromosome loss on the risk of Parkinson's disease and progressionResearch in context by Junhao Wang, Xinyi Chen, Wenxuan Du, Cha Lin, Yu Liao, Jean-Christophe Corvol, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Michael A. Schwarzschild, Pille Taba, Sulev Kõks, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Baijayanta Maiti, Jacobus J. van Hilten, Roger A. Barker, Caroline H. Williams-Gray, Clemens R. Scherzer, Ganqiang Liu, Ganqiang Liu, Rebecca R. Valentino, Zhixiang Liao, Joseph J. Locascio, Jean-Christophe Corvol, Xianjun Dong, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Graziella Mangone, John H. Growdon, Albert Y. Hung, Michael A. Schwarzchild, Michael T. Hayes, Anne-Marie Wills, Todd M. Herrington, Bernard Ravian, Ira Shoulson, Pille Taba, Sulev Kõks, Thomas G. Beach, Florence Cormier-Dequaire, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Peter Heutink, Jacobus J. van Hilten, Meike Kasten, Brit Mollenhauer, Claudia Trenkwalder, Christine Klein, Roger A. Barker, Caroline H. Williams-Gray, Johan Marinus, Clemens R. Scherzer

“…C.R.S.'s work is supported by NIH grants NINDS/NIA R01NS115144, the U.S. …”
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A lightweight speaker verification approach for autonomous vehicles by Yousef Salah, Omar Shalash, Esraa Khatab

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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…These reduced feature sets were evaluated using several classifiers including support vector machines and compared with CNN-based approach, highlighting differences in accuracy and precision. …”
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Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes by Kavan Ahmadi, Pedro Latorre-Carmona, Bahram Javidi, Artur Carnicer

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Genetic algorithm for parameter optimization of supercapacitor model. by Filipe Menezes, Sérgio Cunha, William Assis, Allan Manito, Reinaldo Leite, Thiago Soares, Hugo Lott

“…The present work aims to estimate optimally some parameters of an electrical circuit model of a supercapacitor, in such a way as to obtain responses with very low errors and, thus, be able to use this computational electrical modeling for the development of a Digital Twin system. …”
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An Approach for Leukemia Classification Based on Cooperative Game Theory by Atefeh Torkaman, Nasrollah Moghaddam Charkari, Mahnaz Aghaeipour

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Leveraging Low-Rank Adaptation for Parameter-Efficient Fine-Tuning in Multi-Speaker Adaptive Text-to-Speech Synthesis by Changi Hong, Jung Hyuk Lee, Hong Kook Kim

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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…Results confirm the model’s capacity to disentangle complex market patterns while maintaining computational tractability. This work advances agricultural price forecasting by bridging theoretical Bayesian methods with practical trading applications, offering policymakers and market participants a robust tool for hedging and supply chain optimization.…”
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Perception of the 2020 SARS-CoV-2 pandemic among medical professionals in Germany: results from a nationwide online survey by Pia Paffenholz, Arne Peine, Martin Hellmich, Stella V. Paffenholz, Lukas Martin, Mark Luedde, Miriam Haverkamp, Christoph Roderburg, Gernot Marx, Axel Heidenreich, Christian Trautwein, Tom Luedde, Sven H. Loosen

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Toward Proactive, Secure and Efficient Space-Air-Ground Communications: Generative AI-Based DRL Framework by Amayika Kakati, Guoquan Li, Elhadj Moustapha Diallo, Lilian Chiru Kawala, Nasir Hussain, Abuzar B. M. Adam

“…However, these networks face challenges such as physical layer security risks from line-of-sight channels and the energy constraints of high-altitude platforms (HAPs), necessitating solutions for secure communication and energy efficiency. In this work, we address the challenges of energy efficiency and secure communication in space-air-ground networks, which are becoming critical with the increasing deployment of LEO satellites to support high-mobility users. …”
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Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images by Jialin Shi, Ruolin Zhang, Zongyao Yang, Zhixian Chen, Zhixin Hao, Li Huo, Ji Wu, Qiang Sun, Yali Xu

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Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in ChinaResearch in context by Kai Wang, Qian Yang, Kang Li, Shanhua Tang, Baoluhe Zhang, Xiangyun Liao, Shunda Du, Wenguang Fu, Zhiwei Li, Huanwei Chen, Haorong Xie, Pengxiang Huang, Jieyuan Li, Qiuting Wang, Haiqing Liu, Zhiwei Huang, Pheng Ann Heng, Xueshuai Wan, Chuanjiang Li, Weixin Si

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Design model of thrust bearing with porous coating on the way surface by Murman A. Mukutadze, Anastasia N. Garmonina, Victor M. Prikhodko

“…The development of the design model of a thrust sliding bearing with a two-layer porous coating on the way surface running on an electrically conductive lubricant is described. The work objectives are the development and computational justification of the possible increase in oil consumption, growth of the bearing capacity, and reduction of the frictional force, due to their design models refinement. …”
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Development of a power model for large wave gear toothing by V. N. Strelnikov, A. I. Voloshin, M. G. Sukov

“…The results obtained are applicable in the mathematical simulation of the planar stress state of teeth with nonlinear profiles. Comparative evaluation of errors introduced by deviations of geometry and dimensions of physical models and mathematical analogues supports the experiment correctness and the validity of the quantitative data obtained. …”
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A review of deep-learning-based models for afaan oromo fake news detection on social media networks by Kedir Lemma Arega, Kula Kekeba Tune, Asrat Mulatu Beyene, Wegderes Tariku, Nurhussen Menza Bune

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A Comprehensive Survey of Super-Resolution Remote Sensing Image Datasets: Evolution, Challenges, and Future Directions by Anh Vu-Duc, Khang Nguyen-Vi, Bao Bui-Quoc, Nidal Kamel

“…Despite significant progress in SR algorithms—particularly those driven by deep learning—the supporting datasets have received comparatively little attention. …”
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Technostress and its associated factors: Burnout and fatigue among Malaysian healthcare workers (HCWs) in state hospitals. by Nor Asiah Muhamad, Nur Hasnah Ma'amor, Nurul Hidayah Jamalluddin, Izzah Athirah Rosli, Fatin Norhasny Leman, Tengku Puteri Nadiah Tengku Baharudin Shah, Nurul Syazwani Misnan, Norni Abdullah, Mohammad Zabri Johari, Norliza Chemi, Norashikin Ibrahim, Member of Technostress Study

“…Technostress has become more common after the COVID-19 pandemic in 2020 drastically altered working conditions and made remote work using information and communication technologies (ICT) a necessity rather than a luxury. …”
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