Spatiotemporal dynamics and driving factors of human resources for health in traditional Chinese medicine in China by Jiarui Zhang, Sheng Zhou, Yujie Feng, Huaijin Liu, Chengcheng Li

“…This study employs a multiscale geographically weighted regression (MGWR) model to explore the spatial and temporal dynamics of HRH in TCM across 31 Chinese provinces from 2008 to 2021. …”
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Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas by Tao Liu, Le Yu, Xin Chen, Yunmiao Chen, Xiaomeng Li, Xinyi Liu, Yue Cao, Fan Zhang, Chenggang Zhang, Peng Gong

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Tracking daily NO_<i>x</i> emissions from an urban agglomeration based on TROPOMI NO₂ and a local ensemble transform Kalman filter by Y. Kong, Y. Kong, B. Zheng, B. Zheng, Y. Liu

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City guide as a multi-sensory mobile phone application by Konopska Beata, Kamiński Mateusz

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DMP-PUNet: A novel network for two-dimensional InSAR phase unwrapping under severe noise and complex fringes conditions by Yu Chen, Shuai Wang, Yandong Gao, Yanjian Sun, Jinqi Zhao, Kun Tan, Peijun Du

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Spatiotemporal Wind Energy Forecasting: A Comprehensive Survey and a Deep Equilibrium-Based Case Study With StemGNN by Luiza Scapinello Aquino, Laio Oriel Seman, Viviana Cocco Mariani, Leandro Dos Santos Coelho, Stefano Frizzo Stefenon, Gabriel Villarrubia Gonzalez

“…Results demonstrate that the proposed GNN with DEQ effectively models both spatial and temporal dynamics for Seq2Seq data, improving prediction accuracy while maintaining computational efficiency. …”
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Integrating Street View Images, Deep Learning, and sDNA for Evaluating University Campus Outdoor Public Spaces: A Focus on Restorative Benefits and Accessibility by Tingjin Wu, Deqing Lin, Yi Chen, Jinxiu Wu

“…On this basis, restorative benefit evaluation models were established, including the explanatory and predictive models. …”
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Robust self-supervised denoising of voltage imaging data using CellMincer by Brice Wang, Tianle Ma, Theresa Chen, Trinh Nguyen, Ethan Crouse, Stephen J. Fleming, Alison S. Walker, Vera Valakh, Ralda Nehme, Evan W. Miller, Samouil L. Farhi, Mehrtash Babadi

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Crowding results from optimal integration of visual targets with contextual information by Guido Marco Cicchini, Giovanni D’Errico, David Charles Burr

“…Each of these predictions were supported, and could be simulated with ideal-observer models that maximize performance. …”
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GTN-GCN: Real-Time Traffic Forecasting Using Graph Convolutional Network and Transformer by Sadia Naj Jinia, Sumaiya Binte Azad, Rima Akter, Taivan Reza Dipto, Md. Khaliluzzaman

“…For longer prediction horizons (30, 45, and 60 min), the model consistently outperformed baseline methods, maintaining competitive RMSE and MAPE values. …”
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Dynamic bone recognition for robotic vertebral plate cutting via unit energy consumption and SVM optimized by PSO by Heqiang Tian, Jing Zhao, Ying Sun, Jinchang An

“…Principal component analysis (PCA) was used for further feature extraction and dimensionality reduction. The data was normalized, and an SVM-based bone identification model was developed, optimized by PSO. …”
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Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study by Zhongmin Zhang, Hengyi Xu, Jing Pan, Fujian Song, Ting Chen

“…A variance inflation factor test was performed to avoid multicollinearity. A spatial panel econometric model was developed to assess the determinants of e-cigarette web-based attention. …”
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Mapping the rapid growth of multi-omics in tumor immunotherapy: Bibliometric evidence of technology convergence and paradigm shifts by Huijing Dong, Xinmeng Wang, Yumin Zheng, Jia Li, Zhening Liu, Aolin Wang, Yulei Shen, Daixi Wu, Huijuan Cui

“…Keyword co-occurrence and citation burst analyses reveal evolving frontiers: early emphasis on “PD-1/CTLA-4 blockade” has transitioned toward “machine learning,” “multi-omics,” and “lncRNA,” reflecting a shift to predictive modeling and biomarker discovery. Multi-omics integration has facilitated the development of immune infiltration-based prognostic models, such as TIME subtypes, which have been validated across multiple tumor types, which inform clinical trial design (e.g. …”
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Impact of the agri-geographical transformation of rural settlements on the geospatial dynamics of soil erosion intensity in municipalities of Central Serbia by Srejić Tanja, Manojlović Sanja, Sibinović Mikica, Lukić Tin, Kričković Emina, Durlević Uroš

“…The spatial differentiation of municipalities through CA revealed a clear pattern: the risk of soil erosion decreases along a north-south gradient. …”
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Research on the Influence of Characteristics of the Annular Connecting Pipe on the Transmission Loss of the Expanded Exhaust Muffler by Yue Cheng, Wenhua Yuan, Jun Fu, Yi Ma, Wei Zheng

“…In addition, the experimental value is obtained by the spatial five-point measurement method and compared with the simulated value, and the validity and reliability of the solution model are verified. …”
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De impact van internationale instellingen in Brussel: een benadering vanuit een multicriteria‑analyse by Eric Corijn, Cathy Macharis, Theo Jans, Michel Huysseune

“…Possible distributive effects will be tracked across existing patterns of spatial diversity. The proposed model embeds identification, measurement and assessment in a fine-grained understanding of Belgian urban systems, thus allowing the disaggregation and localisation of impacts. …”
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A Multi-Scale Approach for Finite Element Method Structural Analysis of Injection-Molded Parts of Short Fiber-Reinforced Polymer Composite Materials by Young Seok Cho, Byungwook Jeon, Juwon Min, Kiweon Kang, Haksung Lee

“…To address this, microscale analysis was conducted using injection-molded tensile specimens, followed by mesoscale modeling through representative volume elements (RVEs). …”
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How to solve small sample size problems in time-series soil organic carbon mapping: New insights from the Third Law of Geography by Jingzhe Wang, Zipeng Zhang, Yankun Wang, Cheng-Zhi Qin, Xiangyue Chen, Yinghui Zhang, Zhongwen Hu

“…Based on the different input samples, we designed various modeling schemes for SOCD mapping. Our results suggest that the geographic similarity threshold-driven framework successfully reconciles the trade-off between sample quantity and quality, increasing sample sizes by up to three times while enhancing spatial representativeness and reducing prediction uncertainty. …”
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Urban subsidence zones prone to flooding: mitigated deformation trends post-2024 Guilin megaflood by Pinglang Kou, Xu Dong, Qiang Xu, Ali P. Yunus, Ying Xia, Yuxiang Tao, Rui Liu, Qin Ji, Ruikun Chen, Zhengwu Yuan

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Shared hazards, unequal outcomes: income-driven inequities in disaster risk by Jeanette J. Choong, Dennis Wagenaar, Maricar L. Rabonza, Perrine Hamel, Adam D. Switzer, David Lallemant

“…However, conventional risk models rarely consider these disparities, which are critical for informing risk reduction decisions. …”
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