Promoting mental health for optimal performance in sports by Alexander Schorb, Ulf Häfelinger, Marek Pesicka, Simon Kohl, Felix Karus, Andreas Kaiser, Günter Schiepek, Wolfgang Aichhorn

“…Results: The promotion of mental health is not yet an integral part of the care structures in competitive sports. …”
Get full text

Prediction of protein–protein interaction based on interaction-specific learning and hierarchical information by Tao Tang, Taiguang Shen, Jing Jiang, Weizhuo Li, Peng Wang, Sisi Yuan, Xiaofeng Cao, Yuansheng Liu

“…Moreover, HI-PPI offers explicit interpretability of the hierarchical organization within the PPI network. …”
Get full text

Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification by Tahir Arshad, Bo peng, Ali Rahman, Rahim khan, Sajid Ullah khan, Sultan Alnazi, Nazik Alturki

“…While Convolutional Neural Networks (CNNs) and Transformers have shown strong capabilities in modeling local and global dependencies, most existing architectures operate directly on raw spectral-spatial inputs and lack explicit mechanisms for frequency-domain decomposition thereby overlooking potentially discriminative phase and frequency components. …”
Get full text

Using ecological and life-history characteristics for projecting species' responses to climate change by Sven Pompe, Jan Hanspach, Franz W. Badeck, Stefan Klotz, Helge Bruelheide, Ingolf Kühn

Get full text

Delineating the technosphere: definition, categorization, and characteristics by E. D. Galbraith, E. D. Galbraith, E. D. Galbraith, A. A. Faisal, T. Matitia, W. Fajzel, I. Hatton, H. Haberl, F. Krausmann, D. Wiedenhofer

“…Despite its importance, Earth system science has been slow to explicitly incorporate the technosphere as an integrated part of its conceptual and quantitative frameworks. …”
Get full text

A brain-inspired memory transformation based differentiable neural computer for reasoning-based question answering by Yao Liang, Yao Liang, Yuwei Wang, Yuwei Wang, Hongjian Fang, Hongjian Fang, Feifei Zhao, Yi Zeng, Yi Zeng, Yi Zeng, Yi Zeng, Yi Zeng

“…While large language models (LLMs) have achieved notable success, integrating explicit memory with structured reasoning capabilities remains a persistent difficulty. …”
Get full text

Comparative study of feedback linearization control for IM taking into account magnetic saturation effects by Mustapha Es-Semyhy, Abdellfattah Ba-Razzouk, Mustapha El haroussi, Abdelilah Hilali

Get full text

LLM-DSK: A Domain-Specific Semantic Knowledge-Guided Ocean Environment Prediction Method Based on Large Language Models by Ning Song, Caichao Lv, Jie Nie, Min Ye, Enyuan Zhao, Jun Ma, Xiong Liu, Zhiqiang Wei

“…Data-driven methods learn patterns of oceanic variable changes directly from data without relying on explicit modeling of complex physical processes based on specific assumptions. …”
Get full text

Identification and evaluation of radiographic interpretation errors among undergraduate dental students by Dechsak Nakhapaksirat, Preeyaporn Srimawong, Natchaya Kitcharoen, Supichaya Nobnom, Tan Pitakanonda Ballapapinan

“…In the qualitative phase, students participated in individual Webex interviews, during which they explained their interpretation processes and identifying errors across six radiographs. …”
Get full text

Food sovereignty at the organizational level: a framework for characterizing the diversity of economic actors by Matthias Middendorf, Matthias Middendorf, Christian Herzig, Christian Herzig

“…Food sovereignty scholarship and the movement gives several exemplars such as peasants, local farms and Community Supported Agriculture (CSA), as well as activities such as local food processing. However, recognition of these exemplars as ‘economic actors’ is rarely explicit, nor are their ‘economic activities’ recognized. …”
Get full text

MHOE-DETR: A Ship Detection Method for Small and Fuzzy Targets Based on Satellite Remote Sensing Image Data by Zhuhua Hu, Xiyu Fan, Yaochi Zhao, Wei Wu, Jie Liu

“…The network groups and processes input features in parallel, integrating both low-dimensional and high-dimensional features to alleviate the information bottleneck problem. …”
Get full text

Discovery of ultra-high strength aluminum alloys with high damage tolerance via interpretable chain-based machine learning by Lei Jiang, Xinbiao Zhang, Wentao Zhoutai, Zhilin Han, Minghong Mao, Wenli Xue, Jianxin Xie

“…This study proposes an interpretable chain-based machine learning (ICML) strategy for designing ultra-high strength aluminum alloys with high damage tolerance. Firstly, by integrating a gradient boosting regression model linking alloy composition (AC) and solution-aging processes (SAP) to tensile mechanical properties (TMP), including ultimate tensile strength σb, yield strength σy, and elongation A, with an explicit quantitative relationship between TMP and fatigue strength (FS), expressed as FS = ασbA1/4, a multi-scale interpretable prediction model was constructed to AC + SAP → TMP → FS. …”
Get full text

Separating Subjective from Objective Food Value in the Human Insula: An Exploratory Study Using Intracranial EEG by Benjamin Hébert-Seropian, Olivier Boucher, Daphné Citherlet, Manon Robert, François Richer, Dang Khoa Nguyen

“…This work supports a dual-route model of food cue processing, and may inform interventions targeting insular activity in disordered eating.…”
Get full text

Artificial intelligence of things for sustainable smart city brain and digital twin systems: Pioneering Environmental synergies between real-time management and predictive planning by Simon Elias Bibri, Jeffrey Huang

“…To the best of our knowledge, research on the explicit fusion of UB's real-time analytics—enabled through stream processing—with UDT's predictive analytics—driven by simulation modeling—is scant, if not absent. …”
Get full text

Home Occupant Archetypes by Marco Antonio ORTIZ SANCHEZ

“…Self-reported data and interviews allow collecting explicit knowledge: a type of knowledge that is readily available and is related to facts and memories. …”
Get full text

A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…Recent systems take advantage of the synergy between machine learning, data mining, and image processing to extract/analyze features from crowded zones and recognize patterns and anomalies from the crowd behavior. …”
Get full text

Value Propositions for Digital Shared Medication Plans to Boost Patient–Health Care Professional Partnerships: Co-Design Study by Benjamin Bugnon, Francesca Bosisio, Alain Kaufmann, Pascal Bonnabry, Antoine Geissbuhler, Christian von Plessen

“…Besides fragmented health care processes, the inconsistent incorporation of patient-driven changes contributes to these problems. …”
Get full text

A framework for disentangling ecological mechanisms underlying the island species–area relationship by Jonathan M. Chase, Leana Gooriah, Felix May, Wade A. Ryberg, Matthew S. Schuler, Dylan Craven, Tiffany M. Knight

Get full text

Understanding the nature and dynamics of self-affirmation in non-depressed and subclinically depressed Indian adults: a thematic analysis by Gyanesh Kumar Tiwari, Priyanka Parihar, Ajit Kumar Singh, Amit Kumar Macorya, Anurag Shukla, Archana Singh, Archna Choudhary, Ashutosh Pandey

“…Conclusions This study highlights the significant differences in self-affirmation processes between subclinically depressed and healthy adults. …”
Get full text

Artificial intelligence in vaccine research and development: an umbrella review by Rabie Adel El Arab, May Alkhunaizi, May Alkhunaizi, Yousef N. Alhashem, Alissar Al Khatib, Munirah Bubsheet, Salwa Hassanein, Salwa Hassanein

“…AI‑driven multi‑omic integration accelerated epitope mapping, shrinking discovery timelines by months, while predictive analytics optimized manufacturing workflows and supply‑chain operations (including temperature‑controlled, “cold‑chain” logistics). …”
Get full text