Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…The PD-PINN incorporates proportional-derivative error terms into a physics-informed learning process, where the loss function explicitly embeds the system’s governing equations into the backpropagation algorithm. …”
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Beyond motor learning: Insights from infant magnetic resonance imaging on the critical role of the cerebellum in behavioral development by Lauren Wagner, Melis E Cakar, Megan Banchik, Emily Chiem, Siobhan Sive Glynn, Amy H Than, Shulamite A Green, Mirella Dapretto

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The impact of fitness social media use on exercise behavior: the chained mediating role of intrinsic motivation and exercise intention by Xi Xiao, Dalin Huang, Guanchong Li

“…The study provides novel empirical evidence supporting the integration of Self-Determination Theory and the Theory of Planned Behavior, thereby offering a deeper understanding of how health behaviors form within digital contexts. …”
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Robust Human Pose Estimation Method for Body-to-Body Occlusion Using RGB-D Fusion Neural Network by Jae-hyuk Yoon, Soon-kak Kwon

“…To address this limitation, we modify the traditional OpenPose that is a bottom-up HPE model to take a depth image as an additional input, thereby providing explicit 3D spatial cues. Each input modality is processed by a dedicated feature extractor. …”
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Interface-aware molecular generative framework for protein–protein interaction modulators by Jianmin Wang, Jiashun Mao, Chunyan Li, Hongxin Xiang, Xun Wang, Shuang Wang, Zixu Wang, Yangyang Chen, Yuquan Li, Kyoung Tai No, Tao Song, Xiangxiang Zeng

“…Our evaluation demonstrates that GENiPPI captures the implicit relationships between the PPI interfaces and the active molecules, and can generate novel compounds that target these interfaces. …”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

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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. …”
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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. …”
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RSEFormer: A Residual Squeeze-Excitation-Based Transformer for Pixelwise Hyperspectral Image Classification by Yusen Liu, Hao Zhang, Fashuai Li, Fei Han, Yicheng Wang, Hao Pan, Boyu Liu, Guoliang Tang, Genghua Huang, Tingting He, Yuwei Chen

“…Hyperspectral image (HSI) classification plays an essential role in remote sensing image processing. Deep learning methods, especially the transformer, has achieved great success in HSI classification. …”
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Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

“…Then, the discrete ordinates method was applied to the discretization of the neutron transport equation for spatial angular discretization, and FVM was used to discretize both neutron diffusion and neutron transport equations spatial variables whilst the multigroup method was employed for discretizing energy variables, and implicit Euler method was utilized for discretizing time variables. …”
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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

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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. …”
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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. …”
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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

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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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