Modeling spatial spread of west nile virus and impact of directional dispersal of birds by Rongsong Liu, Jiangping Shuai, Jianhong Wu, Huaiping Zhu

“…The basic reproduction number is calculated and compared for different long-range dispersal patterns of birds, and simulations are carried out to demonstrate discontinuous or jump spatial spread of the virus when the birds' long-range dispersal dominates the nearest neighborhood interaction and diffusion of mosquitoes and birds.…”
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Bayesian modeling of clustered competing risks survival times with spatial random effects by Somayeh Momenyan, Amir Kavousi, Taban Baghfalaki, Jalal Poorolajal

“… n some studies, survival data are arranged spatially such as geographical regions. Incorporating spatial association in these data not only can increase the accuracy and efficiency of the parameter estimation, but it also investigates the spatial patterns of survivorship. …”
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Estimation of High-Spatial-Resolution Near-Surface Ozone over Hubei Province by Pengfei Xu, Zhaoquan Xie, Yingyi Zhao, Yijia Wu, Yanbin Yuan

“…The results show that the ozone concentration in Hubei Province presents a spatial pattern of “high in the east and low in the west” and a seasonal feature of “thick in summer and thin in winter”, with the peak appearing in the second quarter and September. …”
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Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province by Qiu Shi, Yu Qiang, Yang Linzhe, Ma Jun, Wang Ge, Yue Depeng

“…[Results] ① The sensitivity of land desertification in Gansu Province showed a spatial pattern of gradually decreasing from the northwest to the southeast, and the land desertification in the northwest was serious. ② The dense ecological sources and corridors in the southeast part of Gansu Province and the scarcity of sources and corridors in the northwest part indicated that the ecological network in the northwest was poorly connected, and the ecological background needed to be strengthened. ③ The node robustness and connection robustness of the ecological network after edge-enhanced optimization was significantly improved, while the robustness of network edges was slightly but not significantly improved. …”
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Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons by Camille Godin, J. P. Thivierge, J. P. Thivierge

“…However, inferring these spatial patterns is challenging when spike trains are collected from large populations of neurons. …”
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Spatial analysis of socioeconomic data and its relationship with illicit crops in Nariño-Colombia. by Andrés Fernando Grajales-Marín, Fabio Humberto Sepúlveda-Murillo, Alex Tapia, Alexander Tabares

“…This study investigates the extent to which the spatial distribution of socioeconomic factors explains coca cultivation patterns in Nariño. …”
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Mapping the spatial interdependence of adverse health outcomes and neighborhood socioeconomic conditions in Baltimore by Tyson D. King-Meadows, Vishakha Agarwal

“…Yet, questions remain about whether a composite measure of disease prevalence provides greater analytical leverage over multiple measures when examining spatial patterns in health outcomes. We answer these questions by employing spatial and analytical approaches to examining census tract level data on chronic disease prevalence in Baltimore. …”
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Protocol for single-cell RNA sequencing and spatial transcriptomics of bladder Ewing sarcoma by Weipu Mao, Houliang Zhang, Jie Ji, Jianpung Wu, Ming Chen, Chao Sun

“…Summary: Single-cell RNA sequencing provides a deep understanding of gene expression patterns at the single-cell level, enabling researchers to study cellular heterogeneity and differentiation. …”
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Spatial Clusters of Gambling Outlet: A Machine Learning Tree-Based Algorithm by Salvador Martínez-Cava, Fernando A. López, MLuz Maté Sánchez-del-Val

“…The results reveal different spatial patterns regarding the locations of these two types of gambling establishments. …”
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Spatial and Temporal Soil Moisture Variations over China from Simulations and Observations by Xin Lai, Jun Wen, Sixian Cen, Xi Huang, Hui Tian, Xiaokang Shi

“…The results showed that CLM4.0 simulation is capable of capturing characteristics of the spatial and temporal variations of SM. The simulated, NCEP, SM-MW, and ERA Interim/Land SM products are reasonably consistent with each other; based on the simulated SM of summer, it can be concluded that the spatial distribution in every layer was characterized by a gradually increasing pattern from the northwest to southeast. …”
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Influence of the Morphology and Spatial Distribution of Exposed Bedrock on Soil Erosion on Karst Slopes by ZHANG Xinyin, DAI Quanhou, YAN Youjin, XU Xiaojin

“…Among them, the aggregation distribution (R-type) was the most conducive to the generation of soil flow.3) The change of bedrock morphology mainly affected the underground runoff under the conditions of light rain and moderate rain, while in large-scale rainfall events (such as rainstorm and heavy rainstorm), the spatial distribution pattern of bedrock was closely related to the formation of underground runoff. 4) The morphology and spatial distribution of exposed bedrock played an important role in soil erosion and sediment transport during extreme rainfall events. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…Together, these enhancements create a more effective process for identifying disease pattern in wide range of plant species. The model was evaluated using an extensive crop disease dataset and against state-of-the-art methods such as EffiNet-TS, PlantXViT, and MobileNet V2 to assess its effectiveness. …”
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Research on territorial spatial planning based on data mining and geographic information visualization by Wang Yingqiao

“…In the urban expansion planning project, multi-source data such as land use status data, population distribution data, and economic development data are integrated, and the spatial agglomeration pattern of land use types is found by using the method proposed in this article, so as to provide a reference for rational planning of urban expansion direction.…”
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Exogenous attention and its relationship with working memory contents: beyond spatial selection by Águeda Fuentes-Guerra Toral, Fabiano Botta, Juan Lupiáñez, Carlos González-García, Elisa Martín-Arévalo

“…However, its ability to select and prioritize not only perceptual spatial locations, but also novel stimulus-response (S-R) bindings held in WM remains largely unexplored. …”
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Temporal and Spatial Dynamics of Surface Water Temperature Changes in China's Major Lakes by Haimei Duan, Kun Yang, Xiaolu Zhou, Yi Luo

“…Particularly, when analyzing the spatial pattern based on China's famous population‐economic demarcation line (the Hu Huanyong Line), we found that the LSWT growth rate in lakes east of the Hu Huanyong Line is higher than that in lakes to the west in Phase II, as well as under the SSP1‐RCP2.6 and SSP2‐RCP4.5 scenario models. …”
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Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

“…The population density estimates across different grid scales consistently exhibited a spatial gradient pattern of decreasing density from the urban center toward suburban areas. …”
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SA-UMamba: Spatial attention convolutional neural networks for medical image segmentation. by Lei Liu, Zhao Huang, Shuai Wang, Jun Wang, Baosen Liu

“…The RSSS block combines the Mamba module for capturing global dependencies with a receptive field attention convolution (RFAC) module to extract location-sensitive local patterns. Furthermore, we introduce a residual adjust strategy to dynamically fuse global and local information, improving spatial expressiveness. …”
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Cross-domain transformer spatial-temporal fusion network for traffic flow forecasting by Yijun Xiong, Kai Xu, Mo Chen, Haifeng Huang

“…This enables CDTSTFN to largely augment the base spatial-temporal predictors with learned both local-global spatial and short-long temporal dependencies on cross-domain spatial-temporal patterns. …”
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Spatial trends in the distribution of natural radioisotopes in the bottom sediments of Santos Basin (Brazil) by Paulo Alves de Lima Ferreira, Rubens Cesar Lopes Figueira, Michel Michaelovitch de Mahiques, Silvia Helena de Mello e Sousa

“…A distribution model of the spatial variation of these isotopes, the frst of its kind for the Basin, supported the interpretation of similar tendencies in their distribution. …”
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Spatial trends in the distribution of natural radioisotopes in the bottom sediments of Santos Basin (Brazil) by Paulo Alves de Lima Ferreira, Rubens Cesar Lopes Figueira, Michel Michaelovitch de Mahiques, Silvia Helena de Mello e Sousa

“…A distribution model of the spatial variation of these isotopes, the frst of its kind for the Basin, supported the interpretation of similar tendencies in their distribution. …”
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