From river flow regime diversity to proxies for hydrologic homogeneity a Canada-wide case study by Sarah Ariano, Geneviève Ali

“…Caution is therefore warranted when using existing non-hydrological zonal classifications for regional water policy planning, as they may lead to a mischaracterization of spatial differences in streamflow patterns.…”
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Spatiotemporal Coupling Characteristics Between Urban Land Development Intensity and Population Density from a Building-Space Perspective: A Case Study of the Yangtze River Delta U... by Xiaozhou Wang, Lie You, Lin Wang

“…As China shifts from rapid to high-quality development, urban growth has exhibited allometric patterns. This study evaluated land use efficiency from the perspective of architectural space, focusing on 41 cities in the Yangtze River Delta urban agglomeration from 2010 to 2020. …”
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MaxEnt Modeling of the Impacts of Human Activities and Climate Change on the Potential Distribution of <i>Plantago</i> in China by Da Liao, Bing Zhou, Haiyan Xiao, Yuxin Zhang, Shujian Zhang, Qitao Su, Xiaohong Yan

“…This study was conducted to elucidate the spatial distribution of <i>Plantago</i> species patterns across China and evaluate their differential responses to impending climate change and human interventions. …”
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Neuropathological stages of neuronal, astrocytic and oligodendrocytic alpha-synuclein pathology in Parkinson’s disease by Maria Otero-Jimenez, Marcelina J. Wojewska, Lawrence P. Binding, Simona Jogaudaite, Sandra Gray-Rodriguez, Alexandra L. Young, Steve Gentleman, Javier Alegre-Abarrategui

“…Based on these findings, we introduce a novel multimodal progression framework that integrates, for the first time, the temporal and spatial progression of astrocytic and oligodendrocytic α-syn pathology alongside neuronal pathology in PD, providing further information regarding the role of neurons and glia in disease pathogenesis.…”
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Analysis of LULC Change Dynamics That Have Occurred in Tuscany (Italy) Since 2007 by Lorenzo Arcidiaco, Manuela Corongiu

“…Specifically, data spanning five temporal intervals (2007, 2010, 2013, 2016, and 2019) enabled a comprehensive comparative analysis of spatial persistence in LULC patterns. …”
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Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks by Jiecheng Wu, Jiecheng Wu, Ning Su, Xinjin Li, Xinjin Li, Chao Yao, Jipeng Zhang, Xucheng Zhang, Wei Sun

“…Using ST-GCN, we extracted spatial and temporal patterns from these five states directly from the data, thereby enhancing the accuracy of gait parameter calculation. …”
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Significance in Numerical Simulation and Optimization Method Based on Multi-Indicator Sensitivity Analysis for Low Impact Development Practice Strategy by Qian Zhang, Mucheng Zhang, Wanjun Jiang, Yizhi Sheng, Yingwei Yuan, Meng Zhang

“…The applicability of the 3D modules was evaluated using the Chicago rain pattern formula under three recurrence periods: precipitation within one, five, and ten years. …”
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Research on the charging periods of the ultra-shallow play in front of the Hashan area, northwestern margin of the Junggar Basin by WANG Qianjun, ZHOU Jian, ZHANG Faqiang, YU Hongzhou, WU Qianqian, LU Hongli, LIU Qingxin, ZHOU Yu, CHENG Ming, YAN Jianzhao, LYU Yanfang

“…This stratigraphic variation in charging behavior offers crucial insights into the temporal and spatial distribution of hydrocarbons within the study area. (3) Calcite U–Pb dating identified two major thermal events at approximately 133 Ma (Early Cretaceous) and 73 Ma (Late Cretaceous). …”
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Action unit based micro-expression recognition framework for driver emotional state detection by Parul Malik, Jaiteg Singh, Farman Ali, Sukhjit Singh Sehra, Daehan Kwak

“…The proposed method combines a Residual Network (ResNet18) for spatial feature extraction with a Bidirectional Long Short-Term Memory (Bi-LSTM) network for temporal pattern learning. …”
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Development of an enhanced base unit generation framework for predicting demand in free‐floating micro‐mobility by Dohyun Lee, Kyoungok Kim

“…The method identifies suitable base areal units by merging smaller ones while considering the similarities in temporal usage patterns and distances between different areas, mitigating the impact of MAUP during model learning. …”
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The global, regional and national burden of peptic ulcer disease attributable to smoking from 1990 to 2021: A population-based study by Shuai Wang, Tao Zhang, Dongming Li, Xueyuan Cao

“…This study analyzes the temporal and spatial patterns of PUD burden attributable to smoking globally from 1990 to 2021, providing insights for public health interventions. …”
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Investigating difficult to detect pancreatic lesions: Characterization of benign pancreatic islet cell tumors using multiparametric pancreatic 3-T MRI. by Kwadwo Antwi, Patricia Wiesner, Elmar M Merkle, Christoph J Zech, Daniel T Boll, Damian Wild, Emanuel Christ, Tobias Heye

“…Dynamic contrast-enhanced (DCE) Magnetic Resonance Images (MRI) with Golden-Angle-Radial-Sparse-Parallel (GRASP) reconstruction, enabling imaging at high spatial and temporal resolution, was used to assess enhancement-patterns of PICTs. …”
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Multi-century mean summer temperature variations in the Southern Rhaetian Alps reconstructed from <i>Larix decidua</i> blue intensity data by R. Cerrato, M. C. Salvatore, M. C. Salvatore, M. Brunetti, A. Somma, C. Baroni, C. Baroni

“…By establishing the relationships between BI patterns in tree rings and climate variables, we explored the possibility of using the obtained data for constructing a high-resolution, long-term climate record. …”
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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

“…In this paper, we propose Fusion ConvLSTM-Net, a novel fusion encoder-decoder architecture that combines both spatial and temporal features to extend the load forecast to a full 24 hour period. …”
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Driving Behavior Classification Using a ConvLSTM by Alberto Pingo, João Castro, Paulo Loureiro, Sílvio Mendes, Anabela Bernardino, Rolando Miragaia, Iryna Husyeva

“…Sensor data are collected from a smartphone application and undergo a preprocessing pipeline, including data normalization, labeling, and feature extraction, to enhance the model’s performance. By capturing temporal and spatial dependencies within driving patterns, the proposed ConvLSTM model effectively differentiates between normal and aggressive driving behaviors. …”
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The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computin... by Vladimir Tabunshchik, Aleksandra Nikiforova, Nastasia Lineva, Polina Drygval, Roman Gorbunov, Tatiana Gorbunova, Ibragim Kerimov, Cam Nhung Pham, Nikolai Bratanov, Mariia Kiseleva

“…Additionally, the Gorgan basin exhibited elevated carbon monoxide levels, while the highest ozone concentrations were detected in the Sunzha basin. Our temporal analysis demonstrated a substantial influence of the COVID-19 pandemic on pollutant dispersion patterns. …”
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Modeling Riding and Stopping Behaviors at Motorcycle Box Intersections: A Case Study in Chiang Mai City, Thailand by Wachira Wichitphongsa, Nopadon Kronprasert, Moe Sandi Zaw, Pongthep Pisetsit, Thaned Satiennam

“…This research aims to evaluate the traffic performance of motorcycle boxes with respect to motorcycle departure times, headway intervals, lane-filtering rates, and vehicle movement patterns at 12 signalized urban intersections in Chiang Mai, Thailand. …”
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Study on the Influence of Strip-Shaped Urban Rail Transit Stations on Urban Vitality Distribution Based on Point of Interest Data by Yuchen Wu, Min’an Yang, Xin Li, Xu Wei, Yongsheng Qian

“…This study enhances our understanding of how urban rail transit impacts urban vitality within belt-shaped cities while elucidating its positive role in shaping development patterns unique to such areas. It clarifies the relationship between changes in urban vitality and spatial configuration, thereby providing valuable insights for urban planners and decision-makers. …”
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Exploring the Impact of Daytime and Nighttime Campus Lighting on Emotional Responses and Perceived Restorativeness by Xianxian Zeng, Bing Zhang, Shenfei Chen, Yi Lin, Antal Haans

“…Skin conductance data, integrated with spatial–temporal trajectories and affective mapping, revealed clear patterns of emotional responses, emphasizing the role of lighting in shaping environmental quality. …”
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Regional-scale assessment of groundwater recharge and the water balance for Austria by Hanna Zeitfogel, Mathew Herrnegger, Karsten Schulz

“…Currently, Austria lacks fully spatially distributed groundwater recharge maps. The study’s aim was to develop a nationwide hydrological model that predicts groundwater recharge and the water balance components runoff, and evapotranspiration.We implemented the rainfall-runoff model COSERO with a 1km2 spatial and monthly temporal resolution. …”
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