Coupling of urbanization and eco-environmental quality in the evolution of human-environment relationships in China’s metropolitan regions by LUO Junqiang, ZHANG Zining, ZHANG Peilei, CHANG Genying

“…[Results] The findings indicate that: (1) Over 20 years, the urbanization level of the 28 metropolitan regions consistently increased, with a spatial pattern of high in the east and low in the west. …”
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Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory... by Sangin Park, Jihyeon Ha, Laehyun Kim

“…The three paradigms for all participants, achieved an average accuracy of 63.60± 21.62%, 71.25± 19.53%, and 84.09± 12.79% using the filter bank common spatial pattern algorithm (5-fold cross-validation), respectively. …”
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Investigating Provincial Coupling Coordination Between Digital Infrastructure and Green Development in China by Beibei Zhang, Zhenni Zhou, Juan Zheng, Zezhou Wu, Yan Liu

“…The results in the study indicate (1) coupling coordination between digital infrastructure and green development exhibits a relatively low state, characterized by an overall upward trend; (2) noteworthy disparities are observed in the spatio-temporal pattern of the coupling coordination degree, reflecting the overall evolutionary trend from low to high coupling coordination, along with the characteristics of positive spatial correlation and high spatial concentration; and (3) obstacle factors are analyzed from the aspects of digital infrastructure and green development, emphasizing the construction of mobile phone base stations and investment in pollution control, among other aspects. …”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…Several motifs closely match experimentally validated RBP motifs, confirming the model’s capacity to learn biologically meaningful patterns. A downstream case study on YTHDF1 focuses on analyzing interpretable spatial binding patterns, using a large-scale prediction dataset and CLIP-seq peak alignment. …”
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GCN-Former: A Method for Action Recognition Using Graph Convolutional Networks and Transformer by Xueshen Cui, Jikai Zhang, Yihao He, Zhixing Wang, Wentao Zhao

“…These components are aimed at enhancing the understanding of temporal and spatial information within action sequences. Experimental validation on multiple benchmark datasets demonstrates that our approach not only surpasses existing techniques in prediction accuracy, but also has significant performance advantages in handling action recognition tasks involving long time sequences and can more effectively capture and understand long-range dependencies in complex action patterns.…”
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Prospecting movements during the transit phase of immature eagles are driven by age, sex and season by Tom Chaubet, Christian Itty, Arzhela Hemery, Olivier Duriez, Aurélien Besnard

“…First, age had a significant effect on prospecting behaviours: individuals displayed a progressive spatial concentration of prospecting, consistent with patterns observed in colonial species. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…The SuperSOM model achieved an R2 of 0.60 for training and 0.291 for testing, identifying spatial patterns across depth zones. Finally, a hybrid model combining an unsupervised SOM and followed by the supervised Random Forest model returned an accuracy of 83.47% for the training and 80.77% for the test, with Bathymetry, Chlorophyll, and Coarse Sand as key predictive variables. …”
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The Problem of Territorial Polarization in Armenia by Gohar Ghambaryan, Vardan Mkhitaryan, Anzhela Ayriyants

“…Against this backdrop, the settlement patterns in Armenia have evolved significantly. This article delves into the features, challenges, and spatial differences of this phenomenon, supported by a thematic map illustrating the changes in Armenia’s settlement patterns. …”
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Environmental Data Analytics for Smart Cities: A Machine Learning and Statistical Approach by Ali Suliman AlSalehy, Mike Bailey

“…This study analyzes spatiotemporal CO patterns and builds accurate predictive models using five years (2018–2022) of data from ten monitoring stations, combined with meteorological variables. …”
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Distribution and ecotoxicological assessment of trace elements and minerals in Nile Delta sediments using multitechnique analysis by Mohamed A. Hassaan, Marwa R. ElKatory, Wael Abdelwahab, Murat Yılmaz, Ahmed El Nemr

“…Statistical analyses (Descriptive Statistics, correlation, PCA) were applied to interpret spatial patterns. The elements analyzed included trace metals and oxides of major elements. …”
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Multi-Model Simulations of a Mediterranean Extreme Event: The Impact of Mineral Dust on the VAIA Storm by Tony Christian Landi, Paolo Tuccella, Umberto Rizza, Mauro Morichetti

“…Our findings show that, despite general agreement in spatial precipitation patterns, both models significantly underestimated the peak daily rainfall in pre-alpine regions (e.g., 216 mm observed at Malga Valine vs. 130–140 mm simulated, corresponding to a 35–40% underestimation). …”
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Biophilic Design in the Built Environment: Trends, Gaps and Future Directions by Bekir Hüseyin Tekin, Gizem Izmir Tunahan, Zehra Nur Disci, Hatice Sule Ozer

“…A total of 435 studies were analysed to identify key trends, thematic patterns, and research gaps in the biophilic design discipline. …”
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Dynamic land use efficiency and human-land relationship in traditional industrial cities by Xianglong Kong, Xianglong Kong, Yutong Wu, Peng Cui, Yiwen Sun, Guangpu Wei

“…Studying the dynamic land utilization efficiency during urbanization is crucial for understanding the human-land relationship in cities facing economic decline.MethodsUsing land utilization and population data from 2000 to 2020, a dynamic land utilization efficiency index was developed to identify patterns in land utilization dynamics at the district and county level and assess the coordination of human-land relationships at the municipal level. …”
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A novel indicator to assess PIT tag retention in an aquatic amphibian: impact of body size by Jacob M. Hutton, Adrian D. Macedo, Jason L. Brown, Robin W. Warne

“…This was achieved by analyzing individual spatial redetection patterns of 8- and 12-mm PIT tags inserted into juveniles and adults, respectively, over 2 years in a remnant Cypress–Tupelo swamp wetland complex in southern Illinois, using systematic dipnetting, trapping, and PIT scanning telemetry surveys. …”
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Past influences present: Mammalian species from different biogeographic pools sort environmentally in the Indian subcontinent by Krishnapriya Tamma, Aniruddha Marathe, Uma Ramakrishnan

“…Species were classified as belonging to four biogeographic affinities based on their geographic distributions: eastern, northern, western and endemic. We investigated spatial patterns of species richness for all mammals (over 1<strong>°</strong> x 1<strong>°</strong> grid cells), for each biogeographic group and for 5 major mammalian orders. …”
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A comprehensive review of rice mapping from satellite data: Algorithms, product characteristics and consistency assessment by Husheng Fang, Shunlin Liang, Yongzhe Chen, Han Ma, Wenyuan Li, Tao He, Feng Tian, Fengjiao Zhang

“…Due to these challenges, currently it still lacks paddy rice maps with both large spatial coverage, high spatial resolution, and long time series. …”
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Site selection evaluation of transmission lines in desert areas based on wind-sand physics by Moxian Dai, Moxian Dai, Yanbing Wang, Shu Zhu, Hongchao Dun, Hongchao Dun

“…The study findings reveal that global desert sand movement exhibits distinct spatial distribution patterns. Temporally, all monitored regions demonstrate a continuous intensification of sand drift potential, with South America showing the most rapid growth rate, while Asia and Africa maintain relatively stable patterns. …”
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Condition monitoring of heterogeneous landslide deformation in spatio-temporal domain using advanced graph attention network by Huajin Li, Yu Zhu, Qiang Xu, Ran Tang, Chuanhao Pu, Yusen He

“…This research aims to develop an enhanced spatial-temporal monitoring system capable of capturing these complex deformation patterns. …”
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Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis by Zhengzheng Jiang, YaWen Shen

“…Our method introduces a hybrid model combining convolutional neural networks for spatial feature extraction and transformer-based temporal attention for sequential pattern recognition. …”
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A policy and institutional analysis of urban transport system: the case of Pakistan’s Lahore in the context of COVID-19 by Quratulain Ayaz, Mohammed Abubakari, Jawad Hussain

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