Exploring the spatial working memory and visual perception in children with autism spectrum disorder and general population with high autism-like traits. by Manxue Zhang, Jian Jiao, Xiao Hu, Pingyuan Yang, Yan Huang, Mingjing Situ, Kuifang Guo, Jia Cai, Yi Huang

“…The aim of the study is to compare the spatial working memory and visual perception between children with autism spectrum disorder (ASD) and typically developing control (TDC). …”
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Analysis of the Spatial Structure of Regional Enterprises and Its Impact on Regional Economic Development Based on the Data Envelopment Analysis Model (DEA) by Lei Wang, Yuan He, Tongwen Wang

“…This paper adopts the data envelopment analysis (DEA) model to conduct an in-depth study and analysis of the spatial structure of regional enterprises and their impact on regional economic development and to apply the analysis of the impact between the two. …”
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SpaCcLink: exploring downstream signaling regulations with graph attention network for systematic inference of spatial cell–cell communication by Jingtao Liu, Litian Ma, Fen Ju, Chenguang Zhao, Liang Yu

“…Nevertheless, the majority of existing spatial cell–cell communication algorithms fail to take into account the downstream signals within cells. …”
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Investigating the impact of the future road networks on the spatial integrations in a multicultural Pattani City, Thailand: a space syntax approach by Chompoonut Kongphunphin, Manat Srivanit, Chakarin Bejrananda, Damrongsak Rinchumphu

“…The type of transportation plan imposed on the road networks influences the resultant spatial distribution of land-use zones. Religious institutions and low-density residential areas typically position themselves along streets characterized by high spatial integration. …”
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Research on Spatial Morphological Characteristics and Influencing Factors of Industrial Heritage: A Case Study of Nine Industrial Heritages in Guizhou Province by Boyang Zhang, Jinyu Fan, Zongsheng Huang

“…It conducts research on the spatial morphological characteristics of nine typical industrial heritages in Guizhou Province. …”
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Attention Mechanism with Spatial-Temporal Joint Deep Learning Model for the Forecasting of Short-Term Passenger Flow Distribution at the Railway Station by Zhicheng Dai, Dewei Li, Shiqing Feng

“…The spatial attention mechanism is employed to extract station spatial network topology information and enhance the representation of passenger flow characteristics in highly correlated areas during the forecasting process. …”
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Impacts of local environment and land use/cover on spatial-temporal patterns of α and β fish diversity in the Anning River, China by Ruihang Zhou, Pengcheng Lin, Zhijun Xia, Tao Chang, Huijun Ru, Yunfeng Li, Baoshan Ma

“…Such differences are crucial for revealing the processes involved in community assembly. To examine the spatial and temporal patterns and the driving factors of fish species and functional diversity, surveys were conducted at 28 sampling sites along the Anning River in November 2020 and April 2021. …”
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Spatial Distribution of Poverty Clusters and Its Prediction Algorithms: A Visual Analytics Approach to Understanding the Disparities of Poverty Across Zones by Ngong'ho Bujiku Sende, Snehanshu Saha, Leon Fidele Ruganzu Uwimbabazi

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Spatial Heterogeneity in Carbon Pools of Young <i>Betula</i> sp. Stands on Former Arable Lands in the South of the Moscow Region by Gulfina G. Frolova, Pavel V. Frolov, Vladimir N. Shanin, Irina V. Priputina

“…This study investigates the spatial heterogeneity of carbon pools in young <i>Betula</i> sp. stands on former arable lands in the southern Moscow region, Russia. …”
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Seasonal and Spatial Dynamics of Chlorophyll-a Concentrations in Marine Protected FMA 714 in Relation to Yellowfin Tuna (Thunnus albacares) Catches by Muslim Tadjuddah, Abu Bakar Sambah, Baru Sadarun, Nur Isiyana Wianti

“…The objectives of this study are to analyze the seasonal and spatial dynamics of Chl-a concentrations in FMA 714 using temporal spatial analysis with SeaDAS 9.0.1, analyze fishing productivity by season using CPUE analysis, and determine the distance of the fishing ground from the conservation area using point distance geoprocessing analysis in GIS. …”
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SDPSNet: An Efficient 3D Object Detection Based on Spatial Dynamic Pruning Sparse Convolution and Self-Attention Feature Diffusion by Meng Wang, Qianlei Yu, Haipeng Liu

“…SDPSNet introduces a spatial dynamic pruning sparse convolution strategy to optimise the inference efficiency and data redundancy of the detector. …”
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GWSC-SegMamba: Gate Wavelet Spatial Convolution Enhanced State Space Model for Multi-Temporal Agricultural Land Segmentation by Yohanes Fridolin Hestrio, Aprinaldi Jasa Mantau, Wisnu Jatmiko

“…The GWC component conducts multi-resolution analysis with discrete wavelet transforms to address spatial resolution constraints for medium-resolution satellite data, whereas the GSC component identifies spatial correlations essential for delineating crop boundaries. …”
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Determinants and spatial patterns of solid fuel use in East Africa based on demographic and health survey data from 2012 to 2023 by Gelila Yitageasu, Amensisa Hailu Tesfaye, Eshetu Abera Worede, Tigist Kifle, Mitkie Tigabie, Zemichael Gizaw, Helen Brhan, Lidetu Demoze

“…We analyzed data from 218,282 households across 12 East African countries using Demographic and Health Survey (2012–2023) data. Spatial analyses were conducted using ArcGIS V.10.7.1 and SaTScan™ 10.0.2, while multilevel logistic regression was applied to identify significant individual- and community-level factors. …”
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Analysis on the characteristics and spatial distribution patterns of highway damage caused by the 2022 MS6.8 Luding earthquakeKey points by Fei Zhao, Jie Li, Ming Zhu, Yifei Xu, Guoqing Chen, Jianhui Dong, Jianjun Zhao

“…Further, six factors under three categories of the spatial distribution of highway damage in the earthquake-stricken areas were analyzed. …”
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Spatial distribution and interannual variability of catches for pink salmon of artificial origin in the waters of eastern coast of Sakhalin Island in modern times by M. Yu. Stekolshchikova

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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…The spatial-spectral self-training module is proposed, which learns pseudo-labels by jointly training the spatial and spectral information. …”
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Nationwide spatial dynamics of taeniasis in Thailand: declining prevalence but shifting focus and One Health risk factors across 2008–2014 by Pornphutthachat Sota, Kefyalew Addis Alene, Thitima Wongsaroj, Sirikachorn Tangkawattana, Archie C. A. Clements, Banchob Sripa

“…Methods National surveys of helminthiases and taeniasis were conducted in Thailand in 2008 and 2014. We used data from these surveys and integrated publicly available spatial covariates. …”
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Exploring the Spatial Distribution Characteristics and Correlation Factors of Wayfinding Performance on City-Scale Road Networks Based on Massive Trajectory Data by Jun Li, Yan Zhu, Zhenwei Li, Wenle Lu, Yang Ji, Xiao Sang

“…Understanding how urban residents process road network information and conduct wayfinding is important for both individual travel and intelligent transportation. …”
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Mapping the Spatial and Seasonal Details of Heat Health Risks in Different Local Climate Zones: A Case Study of Shanghai, China by Lilong Yang, Chaobin Yang, Weiqi Zhou, Xueye Chen, Chao Wang, Lifeng Liu

“…Therefore, this study developed a systematic method to conduct a spatially explicit assessment of heat-related health risks using local climate zones (LCZs) in Shanghai, China. …”
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7T Spin-echo BOLD fMRI enhances spatial specificity in the human motor cortex during finger movement tasks by SoHyun Han, Dongho Kim, Seulgi Eun, HyungJoon Cho, Seong-Gi Kim

“…To investigate movement representations in an action-based framework rather than a strictly somatotopic layout, we conducted both conventional gradient-echo (GE) and highly specific spin-echo (SE) BOLD fMRI at 7 T with 1 mm isotropic resolution. …”
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