Deformation Control of Subway Tunnels Undercrossing Airport Facilities: A Case Study of the Xinzheng Airport Rail Transit Hub Project by Zhang Liqiang, Jinxing Zhao, Qi Le

“…However, the influence of soil damage on tunnel deformation is often overlooked in research on the safety of soft soil tunneling, leading to discrepancies between the results predicted by models and the actual settlement of tunnels. …”
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A GAN Guided NCCT to CECT Synthesis With an Advanced CNN-Transformer Aggregated Generator by Haozhe Wang, Dawei Gong, Rongzhen Zhou, Junbo Liang, Ruili Zhang, Wenbin Ji, Sailing He

“…MSPHAB consists of spatial self-attention and channel self-attention in parallel. …”
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3BTRON: A Blood-Brain Barrier Recognition Network by Nan Fletcher-Lloyd, Isabel Bravo-Ferrer, Katrine Gaasdal-Bech, Blanca Díaz Castro, Payam Barnaghi

“…Additionally, feature importance methods revealed the spatial features of each image that contributed most to the predictions. …”
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Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics. by Katrina A Lythgoe, François Blanquart, Lorenzo Pellis, Christophe Fraser

“…Here, we present mathematical, analytical, and computational results that demonstrate that consideration of the spatial structure of the viral population within the host radically alters predictions of previous models. …”
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Review of flow instability in gas-turbine compression system by Jingyi Zeng, Feng Liu

“…Future directions are proposed, emphasizing the development of unified theoretical models, accelerated numerical methods, and full-annulus experiments to enhance stall prediction and active control strategies.…”
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Estimation of Vehicle Dynamic Response from Track Irregularity Using Deep Learning Techniques by Fei Yang, Xiaoli Hao, Hang Zhang, Jie Jiang, Zhixing Fan, Zilong Wei

“…This paper proposes a deep learning model to predict vehicle responses (e.g., vertical wheel-rail forces, wheel unloading rate, and car body vertical acceleration) using deep learning techniques. …”
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Energy-efficient human-like trajectory planning for wheeled robots in unstructured environments based on the RCSM-PL network by Hao Xu, Guanyu Zhang, Huanyu Zhao

“…Experimental results show that, compared with traditional and state-of-the-art methods, the proposed approach significantly reduces cumulative power consumption and improves accuracy in predicting future trajectories. The model effectively learns human manipulation behaviors and demonstrates superior energy-saving performance in complex driving scenarios.…”
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Modular Mobile Charging Facility Layout Optimization Method and Deployment Strategy by Jiajun ZHENG, Xiaoyu DUAN, Zechun HU, Xiaorui HU, Bin ZHU

“…Firstly, an electric vehicle user travel mechanism model is established to predict the spatial and temporal distribution of charging demand at the node level. …”
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Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning by Sunita Patil, Dr. Swetta Kukreja

“…This study proposes a novel approach combing Multimodal Transformers (MMT) for fusion features, namely, neuroimaging data, wearable sensors, neuropsychological test scores, and text pro-appraisals. A CNN-LSTM hybrid model is used for mapping spatial and temporal dependencies, and, on the other hand, a Deep Q-Network (DQN) improves while instructing how to perform proper cognitive training. …”
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Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…Given the need for advanced machine-learning systems that provide spatial analysis and services, the recognition model should be robust to various changes, have high extensibility, and provide sufficient recognition speed even with minimal computational overhead. …”
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How Do Particles with Complex Interactions Self-Assemble? by Lara Koehler, Pierre Ronceray, Martin Lenz

“…However, current self-assembly models typically ignore this aspect, and the principles by which it determines the large-scale structure of protein assemblies are largely unknown. …”
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Land cover as a driver of fish community changes in New York's Oswego River Watershed. by Kate M Henderson, Megan Hazlett, Joshua A Drew

“…Land cover exerts a powerful influence on aquatic communities at multiple spatial scales, and alterations to systems can persist even after restoration actions are taken. …”
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Hybrid Attention and Multiscale Module for Alzheimer's Disease Classification by WANG Yuanjun

“…Additionally, it integrates multiscale spatial scale features of Alzheimer's disease by using a multiscale information fusion module based on dilated convolution and soft attention, enhancing early diagnosis and prediction. …”
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Identification of recurrent dynamics in distributed neural populations. by Rodrigo Osuna-Orozco, Edward Castillo, Kameron Decker Harris, Samantha R Santacruz

“…Large-scale recordings of neural activity over broad anatomical areas with high spatial and temporal resolution are increasingly common in modern experimental neuroscience. …”
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Selection Theory of Dendritic Growth with Anisotropic Diffusion by Martin von Kurnatowski, Klaus Kassner

“…Any physical solution should include this feature. A simple spatial rescaling is used to reduce the bulk equation in 2D to the case of isotropic diffusion. …”
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PROGRAMA INNOVADOR PARA EVALUAR USO Y PREFERENCIA DE HÁBITAT by Javier Montenegro, Alberto Acosta

“…This topic is high priority due to the rapid climatic changesthat, according to model predictions, will directly or indirectly affect the resources, conditions and therefore itshabitat, modifying its abundance, spatial distribution, and local probability of extinction. …”
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Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation by E. P. Chernienko, I. S. Chernienko

“…The model was trained on the data for 2016–2019 and verified on the data for 2020. …”
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Deep learning for single-site solar irradiance forecasting using multi-station data by Daniel Guatibonza, Gabriel Narvaez, Luis Felipe Giraldo

“…The results highlight the need for more advanced methods to effectively exploit spatial data, which will guide the future development of solar irradiance prediction models.…”
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Simulation of a flash-flood event over the Adriatic Sea with a high-resolution atmosphere–ocean–wave coupled system by Antonio Ricchi, Davide Bonaldo, Guido Cioni, Sandro Carniel, Mario Marcello Miglietta

“…The event was triggered and maintained by the uplift over a convergence line between northeasterly flow from the Alps and southeasterly winds from the Adriatic Sea. Hindcast modelling experiments, using standalone atmospheric models, failed to capture the spatial distribution, maximum intensity and timing of the HPE. …”
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Epidemiological Characteristics of Human Rabies in Urban and Suburban Districts in Shanghai, 2006–2021 by Zhi Li, Jiayu Hu, Zhuoying Huang, Xiang Guo, Jia Ren, Jing Qiu, Xiaoying Ma, Han Yan, Fang Huang, Xiaodong Sun

“…Infection risk was predicted with a Bayesian aggression model. A total of 43 human rabies cases were registered in Shanghai in 2006–2021; the annual average incidence rate was 0.01/100000. …”
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