Coordinated Development and Spatiotemporal Evolution Trends of China’s Agricultural Trade and Production from the Perspective of Food Security by Yueyuan Yang, Chunjie Qi, Yumeng Gu, Cheng Gui

“…The coupling coordination level between them demonstrates an increasing trend, yet the overall level remains relatively low, with an average value of only 0.445, consistently staying in a marginal disorder “running-in stage” and spatially presenting a distinct “east-high–west-low” stepped distribution pattern. …”
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Restructuring the geography of domestic tourism in South Africa by Rogerson Christian M.

“…Government is seeking to use domestic tourism as a basis for addressing spatial unevenness in patterns of tourism development. …”
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Interplay of natural and anthropogenic factors in source and distribution of heavy metals in Pingtan coastal area, Fujian Province by Chengqiang Wu, Jingjing Bao, Zhao Wang, Zhijie Chen, Yongling Zheng, Huiquan Lu

“…Compared with Xiamen, Meizhou, and Xinghua Bays, Pingtan shows lower mean concentrations for most heavy metals. Spatial distribution patterns reveal distinct regional heterogeneity in heavy metals, with the formation of high- and low-concentration zones influenced by both natural and anthropogenic factors. …”
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Spatiotemporal Analysis of Disease Spread Using a Soliton-Based SIR Framework for Nomadic Populations by Qura Tul Ain, Xiaoli Qiang, Noor Ul Ain, Zheng Kou

“…This model underscores the critical importance of spatial heterogeneity and mobility patterns in managing infectious diseases. …”
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Spatiotemporal dynamics and associated drivers of COVID-19 incidence in Nepal by Bipin Kumar Acharya, Shristi Sharma, Laxman Khanal, Pramod Joshi, Meghnath Dhimal

“…The analysis focused on identifying spatial patterns, hotspots, and key driving factors contributing to the uneven distribution of COVID-19 cases. …”
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PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…Recent advancements in Convolutional Neural Networks (CNNs) have enabled better capturing of patterns in traffic data. These advancements are essential for effectively predicting vehicle Green Signal Time by considering accurate detection and tracking, Spatial Occupancy calculation, long-term dependencies, and non-linear relationships in traffic data. …”
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Les commerçants étrangers d’origine africaine dans les quartiers de Maputo (Mozambique) : quels droits à la ville ? by Catherine Fournet-Guérin

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Dynamic spatiotemporal graph network for traffic accident risk prediction by Pengcheng Zhang, Wen Yi, Yongze Song, Penggao Yan, Peng Wu, Ammar Shemery, Keith Hampson, Albert P. C. Chan

“…Our model uses channel-wise convolutional neural networks to detect spatial accident patterns across weekly, daily, and hourly time scales with automatic weight learning, simultaneously employing graph convolutional networks to process road network features, population feature while integrating external data like weather and dates. …”
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Pedestrian flow and environmental pollutants distribution in apartment stairwells: Strategies for sustainable indoor environment management by Xiaodong Wang, Yang Lv, Liu Tang

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The Residential Segregation of the Middle Eastern and North African and South Asian Populations from the White Population in U.S. Metropolitan Areas, 2012–2016 by Sevsem Cicek-Okay, Samantha Friedman

“…The results suggest evidence that supports these hypotheses in terms of spatial assimilation.…”
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READING MIXED BUILDINGS FROM THE PERSPECTIVE OF PUBLIC SPACE: THE CASE OF ZORLU CENTER by Youssef Sennou, Fatih Şahin

“…Large-scale mixed buildings are strongly involved in the urban pattern as a building typology that is being applied and scaled up more and more day by day; with its large volumes in the combined parcels, it determines not only the quantity of its own areas but also the quality of the urban area. …”
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Are industrial footprints driving potentially toxic element contamination in the Karnaphuli River Estuary? by Istiak Ahmed, Md. Mostafa Monwar, Md Iqram Uddin Al Amran, Md Mehedi Iqbal, Israt Sultana Isha, Md Masum Billah, Mohammad Rafiqul Islam, Abdullah Al Mamun, Md Khurshid Alam Bhuiyan

“…The data were examined to identify contamination patterns using geostatistical techniques, element correlations, and possible pollution sources. …”
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Risk Identification and Spatiotemporal Evolution in Rural Land Trusteeship by Jianying Xiao, Xinran Fang

“…Subsequently, the number has shown a decreasing trend, which reflects the positive effect of policy. (3) In terms of spatial pattern, land trusteeship risks have a significant northeast–southwest clustering trend, North China and Northeast China being high-risk clustering areas, while South China and Southwest China have relatively low risks. (4) There are significant differences in the spatial distributions of different types of risks, with market and operational risks being highly concentrated in economically active areas, while natural risks are more influenced by the geographic environment.…”
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Assessing the impact of land use and land cover change on the Densu Delta wetland using Markov chain modeling and artificial neural networks by Cynthia Laar, Kevin Buah Kofi Annan, Abass Gibrilla, Zenobia Kusi-Afrakoma, Owusu Korkor-Asante, Michael Saah-Hayford, Courage Egbi, Dickson Abdul-Wahab, Julliet Attah, Geophrey Anornu

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Spatio-Temporal Differentiation and Influencing Factors of Urban Ecological Resilience in Xuzhou City by Ting Zhang, Xiulian Wang, Xinai Li, Xuan Zhu, Long Li, Longqian Chen

“…This study combined landscape pattern indices and spatial measurement methods, establishing a multi-scale linked “Resistance-Adaptation-Recovery (Res-Ad-Rec)” model chain to assess the UER of Xuzhou City, analyzed spatiotemporal changes using Moran’s I indices, and explored the influencing factors through the Multi-scale Geographically Weighted Regression (MGWR) model. …”
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Research on the Spatio-Temporal Evolution and Impact of China’s Digital Economy and Green Innovation by Chunshan Zhou, Xiaoli Wei, Xiangjun Dai, Guojun Zhang

“…The results show that the digital economy and green innovation in Chinese cities exhibited an upward trend. There was a basic spatial pattern consisting of “high levels in the east and low levels in the west” regarding the digital economy and green innovation, with the aggregation types primarily being “HH” and “LH”. …”
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Does digital grabbing boost affectivity in less empathic users? An interactive approach to affective laterality: Empathy, hand dominance, and action-context shape pleasantness expe... by Sergio C. Torres

“…This study investigates the interplay between dispositional empathy and emotional processing during embodied digital interactions. It builds upon the Spatial Affective Interaction (SAI) framework, which integrates neurobehavioral and cognitive perspectives on affective laterality, affective spatialization, and hand-proximity effects. …”
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Multi-Omics Analysis of the Anoikis Gene <i>CASP8</i> in Prostate Cancer and Biochemical Recurrence (BCR) by Shan Huang, Hang Yin

“…<b>Methods:</b> The specific expression pattern of the Anoikis gene set in prostate cancer cells was first explored by single-cell and spatial transcriptomics analysis. …”
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The Importance of Space in Comparative Capitalism Analyses: A Comparison of Varieties of Capitalism and Variegated Capitalism Approaches by Ferda Uzunyayla

“…When considering world market integration, interrelations and tensions between different scales, and state spatial restructuring, the exploration of the diverse patterns of accumulation also requires a focus on the spatial dimension of state-capital relations. …”
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tramoTDA: A trajectory monitoring system using Topological Data Analysis by Miriam Esteve, Antonio Falcó

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