Protection Boundary Development in Historical–Cultural Built Environments Using Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) by Can Kara, Aminreza Iranmanesh

“…To cope with this, it is essential to frequently re-evaluate and redefine protective boundaries and strategies for developing them to reflect current and emerging urban patterns. Defining protection boundaries is an inherently complex task consisting of intricate and interrelated spatial, social, and cultural networks and elements. …”
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AERU-Net: Adaptive Edge Recovery and Attention U-Shaped Network for Remote Sensing Image Super-Resolution by Amir Hajian, Supavadee Aramvith

“…While state-of-the-art RSISR methods have begun incorporating attention mechanisms to explore and recover multi-scale global features, they face challenges in identifying the most relevant details and recovering complex edge patterns. In this research, we propose a novel Adaptive Edge Recovery and Attention U-shaped Network (AERU-Net), which integrates an Edge Recovery Block (ERB), Channel Attention Module (CAM) and Spatial Attention Module (SAM) within a three-level encoder-decoder architecture. …”
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Variable Importance Measures Suggest Paramount Influence of Human Economics on Alien‐Species Introductions by Ignasi Arranz, Ralph Mac Nally, Emili García‐Berthou

“…Specifically, random forests and hierarchical partitioning attached more importance to economic and human population variables in explaining spatial patterns of alien species richness than did region area and mean air temperature, which were emphasized more by the standard approach. …”
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Temporal dynamics of hemispheric interactions in visual word recognition using a repetition priming paradigm: modulation by stimulus onset asynchrony by Sangyub Kim, Kichun Nam

“…Interhemispheric interaction was inferred from performance patterns across visual field pairings and SOAs.ResultsAt a 100 ms SOA, when primes were presented to the LVF and targets to the RVF, response patterns indicated dominant involvement of the right hemisphere's visual-perceptual system in initiating interhemispheric processing. …”
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A non-optically active lake salinity dataset by satellite remote sensing by Mingming Deng, Ronghua Ma, Lixin Wang, Minqi Hu, Kun Xue, Zhigang Cao, Junfeng Xiong, Zhengyang Yu

“…This dataset provides invaluable information on spatial patterns and long-term variations in lake salinity useful to prevent lake salinization and facilitate the lake management for sustainable ecosystem development.…”
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Statistical - Synoptic Analysis of the Extreme Precipitation in Western Iran by Mehrdad Kiani, Hasan Lashkari, Houshang Ghaemi

“…The combinatorial maps of atmospheric parameters including sea level pressure, geopotential height, specific humidity, U-Wind and V-Wind and air temperature for levels of 850 and 500 hPa have been analyzed in order to identify the synoptic circulation patterns that cause extreme precipitation events. The composite maps displayed the arrangement of synoptic patterns on a geographical coordinates including latitudes of 10 to 50 degrees north and longitudes 20 to 70 degrees east with a spatial resolution of 2.5 to 2.5 geographical degrees. 3-Results and Discussion In the cold season of the year whenever the Siberian high-pressure system withdraws from the western parts of Iran, conditions are provided for the establishment of a Mediterranean low-pressure system at sea level. …”
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A deep transfer learning model for green environment security analysis in smart city by Madhusmita Sahu, Rasmita Dash, Sambit Kumar Mishra, Mamoona Humayun, Majed Alfayad, Mohammed Assiri

“…This work includes an augmentation process (i.e. erosion, dilation, blurring, and contrast enhancement operations) to extract spatial patterns and enlarge the training size of the dataset. …”
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Dynamic spatiotemporal quantification of avalanches in the Central Tianshan Mountains by integrating air–space–ground collaborative sensing and snow field–terrain filters by JinMing Yang, LanHai Li, Yang Liu

“…However, the existing inventory has problems such as low spatial resolution and limited usability. To gather high precision avalanche distribution data and analyze their spatiotemporal distribution patterns, a collaborative ‘air-space-ground’ sensing network, was employed alongside a ‘snow field-terrain’ filter to construct an avalanche inventory database. …”
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Evaluation of SDGSAT-1 MII data in total suspended matter estimation in clear to extremely turbid rivers by Shenglei Wang, Zichen Mao, Bing Zhang, Xiaolong Yu, Fenqi Zhao, Xiaofei Song, Changyong Dou, Fangfang Zhang, Junsheng Li

“…The model was then applied to map the TSM variations in the Hai and Liao Rivers in northern China using the MII data, where reliable spatial and temporal patterns were observed. The study concludes by discussing the applicability of MII data in water quality mapping in nearshore waters, along with key considerations such as model applicability, atmospheric correction, and land adjacency.…”
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Neighbourhood deprivation and cardiometabolic outcomes in the UK Biobank: differences by sex and ethnicity by Véronique L Roger, Katsuyuki Miura, Yangyang Deng, Mohammad Moniruzzaman, Kosuke Tamura, Ram Jagannathan, Lu Hu, Leonardo Mariño-Ramírez, Breanna Rogers

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Integrating the PLUS-InVEST Model to Project Water Conservation Dynamics and Decipher Climatic Drivers in the Chengdu–Chongqing Economic Zone Under Multiple Future Scenarios by Kangwen Zhu, Suqiong Li, Wei Huang, Peng Hou, Yaqun Liu, Jian Liu, Zihui Li

“…This study integrates the PLUS and InVEST models with projected land use and meteorological data to analyze water conservation patterns in the Chengdu–Chongqing Economic Zone during 2030–2050 under natural development (ND) and ecological protection (EP) scenarios. …”
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Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo by Xu Liao, Lican Kang, Yihao Peng, Xiaoran Chai, Peng Xie, Chengqi Lin, Hongkai Ji, Yuling Jiao, Jin Liu

“…Using both simulated and four scRNA-seq and spatial transcriptomics datasets, we show that SDEvelo can model the random dynamic patterns of mature-state cells while accurately detecting carcinogenesis. …”
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A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê Plateau by Wanting Zeng, Li He, Zhengwei He, Yang Zhao, Yan Yuan, Jintai Pang, Jiahua Zhao

“…Future scenarios show weakened interactions, correlating with higher ecological stress, indicating ES stability risks. (3) Land use (>40% explanatory power) is the primary driver, while urban expansion, slope, evapotranspiration, and precipitation contribute (6–12%). (4) ES drivers showed weak spatial patterns from 2000 to 2020 but became more stable under future scenarios, suggesting stronger environmental control. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Individual Tree Structure Segmentation Using Terrestrial LiDAR Point Cloud Data by Sangjin Lee, Woodam Sim, Yongkyu Lee, Jeongmook Park, Jintaek Kang, Jungsoo Lee

“…A total of 17 input features were categorized into spatial coordinates and normals, geometric structure features, and local distribution features. …”
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Coastal Eddy Detection in the Balearic Sea: SWOT Capabilities by Laura Fortunato, Laura Gómez-Navarro, Vincent Combes, Yuri Cotroneo, Giuseppe Aulicino, Ananda Pascual

“…We analyze multiple altimetric variables—Sea Level Anomaly, Absolute Dynamic Topography, Velocity Magnitude, Eddy Kinetic Energy, and Relative Vorticity—highlighting substantial differences in spatial detail and intensity. Our results show that SWOT-enhanced observations significantly improve the spatial characterization and dynamical depiction of the eddy. …”
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Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features by Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, Tariq Shahzad, Wasim Ahmad, Afsha Bibi, Mamoon M. Saeed, Habib Hamam

“…In datasets abundant in spatial correlations, the CNN-LSTM hybrid demonstrated its utility by providing novel insights into spatial–temporal patterns; nonetheless, it lagged considerably in accuracy, with a mean squared error (MSE) of 0.020 and a R2 of 0.87. …”
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Coupling Coordination Development Between Cultivated Land and Agricultural Water Use Efficiency in Arid Regions: A Case Study of the Turpan–Hami Basin by Yue Kong, Abdugheni Abliz, Dongping Guo, Xianhe Liu, Jialin Li, Buasi Nurahmat

“…A coupling coordination degree model was constructed to evaluate their coordinated development level, with spatial autocorrelation and other methods used to examine spatiotemporal patterns. …”
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An Octant-Based Multi-Objective Optimization Approach for Lightning Warning in High-Risk Industrial Areas by Marcos Antonio Alves, Bruno Alberto Soares Oliveira, Douglas Batista da Silva Ferreira, Ana Paula Paes dos Santos, Osmar Pinto, Fernando Pimentel Silvestrow, Daniel Calvo, Eugenio Lopes Daher

“…Sensitivity analysis revealed spatial patterns in optimal configurations, supporting the use of directional tuning. …”
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RotJoint-Based Action Analyzer: A Robust Pose Comparison Pipeline by Guo Gan, Guang Yang, Zhengrong Liu, Ruiyan Xia, Zhenqing Zhu, Yuke Qiu, Hong Zhou, Yangwei Ying

“…Human pose comparison involves measuring the similarities in body postures between individuals to understand movement patterns and interactions, yet existing methods are often insufficiently robust and flexible. …”
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Health Outcomes in EU Cross-Border Regions: A Scoping Review by Sophie Stroisch, Sophie Stroisch, Viola Angelini, Sebastian Schnettler, Tobias Vogt, Tobias Vogt

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