Spatial and Temporal Evolution of Urban Patent Quality: Evidence From China Prefectural Cities by Renai Jiang, Shurui Hu, Zulong Su, Yincheng Huang, Huiwen Zhang

“…The findings indicate that Chinese urban patents demonstrate a gradual and sustained improvement in quality over time, yet substantial room for enhancement remains. Spatially, urban patent quality in China exhibits evident clustering patterns, with the coexistence of high-high, low-low, high-low, and low-high clusters. …”
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Spatial and temporal variation of five different pathogens and symbionts in Ixodes ricinus nymphs in the Netherlands by Nienke Hartemink, Gerrit Gort, Aleksandra I. Krawczyk, Manoj Fonville, Arnold J.H. van Vliet, Willem Takken, Hein Sprong

“…The infection prevalence of all microbes showed markedly different patterns with significant spatial variation for Borrelia burgdorferi (s.l.), Neoehrlichia mikurensis, Rickettsia helvetica, and Midichloria mitochondrii, significant seasonal variation of B. burgdorferi (s.l.), N. mikurensis, and M. mitochondrii and a significant interannual variation of R. helvetica. …”
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Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions by Shiyang Chen, Yang Liu, Qun Zhang, Zhouhang Shao, Zewei Wang

“…To address challenges in detecting fraudulent cryptocurrency transactions, MDST‐GNN integrates a multi‐distance graph convolutional architecture with adaptive temporal modeling, enabling capture of both local and global spatial dependencies while inferring patterns from anonymized temporal data. …”
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Retrospective multidisciplinary analysis of human alveolar echinococcosis in Hungary using spatial epidemiology approaches by Eszter Csulak, Ágnes Csivincsik, Tamás Sréter, Norbert Solymosi, József Danka, Zsolt Káposztás, Gábor Nagy, Balázs Dezsényi

“…Our study aimed to reveal the geographically underlying risk factors associated potentially with these cases. We investigated the spatial pattern and the impact of potential risk factors of HAE by cluster analysis, and local and global regression models. …”
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Spatial and temporal distribution characteristics and evolution of traditional villages in the Qihe River Basin of China by YunXing Zhang, NaNa Han, Baien Zhang, ChenChen Lu, MeiYu Yang, FeiFei Zhai, HaiDong Li

“…This research focuses on investigating the temporal and spatial transformations of traditional villages in the Qihe River Basin. …”
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Characteristics stochastic analysis of long and narrow deep excavations under soil spatial variability by Shouhua Liu, Zhaoliang Wang, Yadong Chen, Guohua Fang, Yiding Zhao, Junsheng Yang, Huasheng Sun

“…To address these uncertainties caused by soil spatial variability, safety factors are commonly used in excavation design. …”
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Spatial analysis of the percentages of smokers, alcohol drinkers, social welfare expenditure and insomniacs in Japan by Nesma Lotfy, Takahiro Tabuchi

“…Abstract Insomnia is a significant public health problem; however, no research has conducted a spatial analysis on insomnia in Japan. Therefore, this study aimed to identify potential spatial clusters of insomnia and its related factors among prefectures and to explore the factors associated with insomnia at the prefecture level in Japan. …”
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Spatial variability of soil attributes in an experimental basin in the semi-arid region of Pernambuco, Brazil by Diego C. dos S. Araújo, Suzana M. G. L. Montenegro, Abelardo A. de A. Montenegro, Valdemir de P. e Silva Junior, Sylvana M. dos Santos

“…ABSTRACT This study aimed to evaluate the spatial patterns of physical and chemical properties of a soil in an experimental basin with an area of 149 km2, located in the municipality of Pesqueira, in the semi-arid region of Pernambuco state (Brazil). …”
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Finding spatially variable ligand-receptor interactions with functional support from downstream genes by Shiying Li, Ruohan Wang, Sitong Liu, Shuai Cheng Li

“…SPIDER groups SVIs with similar spatial distributions into SVI patterns that are supported by strong Pearson correlations on spot annotations, generating interaction-based sub-clusters within cell-type regions, and deriving enriched pathways.…”
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Field Scale Studies on the Spatial Variability of Soil Quality Indicators in Washington State, USA by Jeffrey L. Smith, Jonathan J. Halvorson

“…The biological parameters showed little correlation with each other when all data points were considered; however, when grouped in smaller sections, the correlations were more consistent with observed patterns across the field. To accurately assess soil quality, and arable land use, consideration of spatial and temporal variability, soil conditions, and other controlling factors must be taken into account.…”
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Profiling user segments and spatial clusters of EV uptake through multi-method modeling by Bailing Zhang, Jing Kang

“…Understanding how electric vehicle (EV) uptake varies across spatial and demographic segments is essential for informing spatially targeted planning and supporting low-carbon transitions in urban systems. …”
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Seasonal variations in microplastic distribution on Macau’s windward and leeward beaches: weak spatial autocorrelation by Changxing Zong, Khalida Jabeen, Lixin Zhu

“…The average abundance of MPs on Macau beaches was 36.56 ± 38.05 n/kg in spring and 628.63 ± 1462.31 n/kg in autumn, with foam accounting for over 85% of the total MPs in both seasons. The spatial autocorrelation of MP distribution across both seasons and beaches was weak, with no significant patterns of spatial clustering or dispersion observed.The abundance of MPs was significantly higher in autumn than in spring, mainly due to the large amount of polystyrene foam brought by the tides from the sea. …”
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Waning success: a 2013–2022 spatial and temporal trend analysis of malaria in Ethiopia by Abdollah Jalilian, Galana Mamo Ayana, Temesgen Ashine, Elifaged Hailemeskel, Yehenew Asmamaw Ebstie, Eshetu Molla, Endashaw Esayas, Nigatu Negash, Abena Kochora, Muluken Assefa, Natnael Teferi, Daniel Teshome, Alison M. Reynolds, David Weetman, Anne L. Wilson, Birhanu Kenate, Martin J. Donnelly, Luigi Sedda, Endalamaw Gadisa

“…This model incorporated fixed effects for selected environmental factors and random effects to capture temporal trends, zone specific seasonal patterns, spatial trends at the zone level, and the presence of An. stephensi and its impact. …”
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Spatial Variability Analysis of Renewal Time in Harbour Environments Using a Lagrangian Model by Yaiza Samper, Ivan Hernández, Leidy M. Castro-Rosero, Maria Liste, Manuel Espino, José M. Alsina

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Active travel in the university setting: Assessing the effects of social behavior, socioeconomics, and spatial location by Isabel Cunha, Catarina Cadima

“…To further explore the likelihood of active mobility uptake at university campuses, this study explored university students’ mobility patterns over time, examining the role of social behavior, socioeconomics, and spatial location factors. …”
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Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China by Xiaoting Ji, Ke Xu, Dan Liao, Gaojie Chen, Taotao Liu, Youwei Hong, Sijun Dong, Sung-Deuk Choi, Jinsheng Chen

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Preliminary Mapping of the Spatial Variability in the Microclimate in Tropical Greenhouses: A Pepper Crop Perspective by Angel Triana, Alfonso Llanderal, Pedro García-Caparrós, Manuel Donoso, Rafael Jiménez-Lao, John Eloy Franco Rodríguez, María Teresa Lao

“…This observed pattern was linked to the prevailing wind direction (south–east (SE)) outside the greenhouse. …”
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Spatial-temporal characteristics and influencing factors of farmland carbon emissions in Guangdong Province, China by Zihao Chao, Zihao Chao, Zihao Chao, Ziyang Zhu, Ziyang Zhu, Ziyang Zhu, Yuchen Li

“…Chemical fertilizers were the largest contributor to farmland carbon emissions, accounting for approximately 61.78% of the total. 2) The spatial distribution of farmland carbon emissions followed the pattern of “Western Guangdong > Northern Guangdong > Eastern Guangdong > Pearl River Delta”. …”
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Spatial optimization of agricultural production from the perspective of “Greater Food Concept” in Yangzhou, China by Xin Li, Xin Xu, Ru Meng Yin

“…The distribution pattern was closely related to the land use status, urban development, topography, and spatial functional positioning of the national territory. …”
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Statistical learning re-shapes the center-surround inhibition of the visuo-spatial attentional focus by Andrea Massironi, Carlotta Lega, Luca Ronconi, Emanuela Bricolo

“…Abstract To effectively navigate a crowded and dynamic visual world, our neurocognitive system possesses the remarkable ability to extract and learn its statistical regularities to implicitly guide the allocation of spatial attention resources in the immediate future. …”
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