Deep Learning for Atmospheric Modeling: A Proof of Concept Using a Fourier Neural Operator on WRF Data to Accelerate Transient Wind Forecasting at Multiple Altitudes by Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Victor Oliveira Santos, Bahram Gharabaghi

“…Variable selection played a key role, revealing that different physical processes dominate at various altitudes, necessitating distinct input features. …”
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A Study of NLP-Based Speech Interfaces in Medical Virtual Reality by Mohit Nayak, Jari Kangas, Roope Raisamo

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DADNet: text detection of arbitrary shapes from drone perspective based on boundary adaptation by Jun Liu, Jianxun Zhang, Ting Tang, Shengyuan Wu

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Enhancing Disaster Situation Awareness Through Multimodal Social Media Data: Evidence from Typhoon Haikui by Songfeng Gao, Tengfei Yang, Yuning Xu, Naixia Mou, Xiaodong Wang, Hao Huang

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A Fast Satellite Selection Method Based on the Multi-Strategy Fusion Grey Wolf Optimization Algorithm for Low Earth Orbit Satellites by Wei Lv, Mingjian Chen, Xingyu Shi, Yuxing Li, Yang Shen, Wanli Li, Shuai Tong

“…The traditional satellite selection algorithms have the problems of high computational complexity and significant hardware dependence. …”
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Quantitative assessment of the ischemic damage to the brain parenchyma in patients with acute cerebrovascular accident using the Olea Sphere automated software by E. P. Yasakova, E. G. Shevchenko, V. V. Efimov, E. I. Zyablova

“…Objective: To evaluate the capabilities of the Olea Sphere automated software for the quantitative assessment of ischemic damage to the brain parenchyma during computed tomography (CT) in patients with acute cerebrovascular accident and its role in choosing the optimal treatment strategy in everyday clinical practice.Materials and methods: We retrospectively analyzed the data from 129 patients with suspected stroke who underwent perfusion CT within 24 hours of admission to the hospital. …”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…Simultaneously, the iterative axial factorization attention reduces the computational burden of 3D spatial modeling by processing attention sequentially along individual axes, preserving long-range interdependence while consuming minimal resources. …”
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SulfideNet: Deep Learning for Detection and Quantification of Iron Sulfides in Drill Core Scans by Maral Rasoolijaberi, Chuiqing Zeng, John Manchuk, Michelle Legat, Abigail Jackson-Gain

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High throughput genome scale modeling predicts microbial vitamin requirements contribute to gut microbiome community structure by Juan P. Molina Ortiz, Mark Norman Read, Dale David McClure, Andrew Holmes, Fariba Dehghani, Erin Rose Shanahan

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Lung Volume and Pneumatization Changes in Children in Early Post-Surgical Period After Correction of Severe Neuromuscular Scoliosis Complicated with Respiratory Failure: Cohort Stu... by Anna V. Makarova, Mudhar A.А. Alshaowa, Оlga S. Maslak, Аlexandr Yu. Mushkin

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A complex roadside object detection model based on multi-scale feature pyramid network by Zhihao Zheng, Jianguang Zhao, Jingjing Fan, Ruirui Bai, Jiana Zhao, Jianan Liu

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Rapid Simulation of Floods by Considering the Spatial and Temporal Characteristics of Inundation by Rukai Wang, Jijian Lian, Ximin Yuan, Fuchang Tian, Kuang Li, Zhanyou Liu

“…The proposed methodology integrates a low-fidelity (LF) hydrodynamic model with a sparse Gaussian processes (SGP) model, incorporates rotated empirical orthogonal functions (REOF) to address high-dimensional data challenges, streamlines the model structure, and enhances computational efficiency. …”
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An Adaptive Local Time-Stepping Method Applied to Storm Surge Inundation Simulation by Pubing Yu, Tao Ji, Xiuguang Wu, Yifan Chen, Guilin Liu

“…By dynamically monitoring the variation in the proportion of dry/wet cells during the simulation, the method adaptively adjusts the maximum local time step level, improving computational efficiency and minimizing human intervention in traditional LTS schemes. …”
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Evaluation of MRI-based synthetic CT for lumbar degenerative disease: a comparison with CT by Ziwei Jiang, Yuhang Zhu, Wei Wang, Zongbao Li, Yunxi Li, Mengchao Zhang

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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…Our methodology combines sophisticated neuroinformatics technologies with AI-driven image processing algorithms to improve hybrid PET-CT scans' spatial and metabolic resolution. …”
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Independence of the dynamic grid of finite elements for the calculation of the aerodynamic resistance of linehaul trains by D.B. Beherskyi, I.V. Vitiuk, O.A. Levkivskyi, O.O. Bahinskyi, A.O. Koval

“…The dynamic grid was chosen because it allows changing the grid structure during simulation, which is important for accurately reflecting complex aerodynamic processes, such as turbulent flows and variable shocks on surfaces. …”
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Where are higher-order cognitive functions? The paradox of non-locality in awake cognitive mapping using a complex dynamic system framework by Jesús Martín-Fernández, Jesús Martín-Fernández, Jesús Martín-Fernández, Nayra Caballero-Estebaranz, Nayra Caballero-Estebaranz, Nayra Caballero-Estebaranz, Esteban Félez, Esteban Félez, Natalia Navarro-Peris, Pedro Pérez del Rosario, Pedro Pérez del Rosario, Raúl Hernández Bisshopp, Jaime Domínguez-Báez

“…Traditionally, neurosurgical practice has prioritized avoiding language and motor deficits, while higher-order functions—such as social cognition and executive processes—remain underexplored. These functions arise from dynamic large-scale networks operating in an optimal balance between synchronization and metastability rather than from isolated and localized cortical regions. …”
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Designing Multifunctional Microneedles in Biomedical Engineering: Materials, Methods, and Applications by Liu L, Wang F, Chen X, Liu L, Wang Y, Bei J, Lei L, Zhao Z, Tang C

“…Furthermore, this review explores the innovative use of MNs in brain–computer interfaces—an area not yet thoroughly examined. …”
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Deep learning-based sow posture classifier using colour and depth images by Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello

“…These models can be integrated into computer vision systems to automatically characterise sow behavior.…”
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Comparison of foci of active inflammation and fatty degeneration according to MRI and CT data of syndesmophytes in patients with ankylosing spondylitis by Magomed K. Kurbanmagomedov, Ksenia V. Sakharova, Ekaterina M. Agafonova, Margarita M. Urumova, Svetlana O. Krasnenko, Anastasia E. Dimitreva, Tatiana V. Dubinina, Shandor F. Erdes

“…In recent decades, the most widespread theory is that after inflammation in the area of attachment of the fibrous ring to the vertebral body, fatty degeneration occurs with reparative processes, as a result of which the growth of new bone – syndesmophyte – begins. …”
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