The Coupling Coordination Relationship Between Urbanization and Ecosystem Health in the Yellow River Basin: A Spatial Heterogeneity Perspective by Shanshan Guo, Junchang Huang, Xiaotong Xie, Xintian Guo, Yinghong Wang, Ling Li

“…The integration of the kernel density estimation and Theil index establishes a robust analytical framework to effectively overcome spatial heterogeneity limitations in regional disparity research. …”
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Spatial and Temporal Expansion of Photovoltaic Sites and Thermal Environmental Effects in Ningxia Based on Remote Sensing and Deep Learning by Heao Xie, Peixian Li, Fang Shi, Chengting Han, Ximin Cui, Yuling Zhao

“…Localized cooling patterns may be influenced by albedo and vegetation dynamics, though further validation is needed. …”
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Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan by Shoji Taniguchi, Takeshi Hayashi, Hiroshi Nakagawa, Kei Matsushita, Hiromi Kajiya-Kanegae, Jun-Ichi Yonemaru, Akitoshi Goto

“…The spatial effects were heterogeneous and regional patterns were detected. …”
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Single‐Cell and Spatial Transcriptomics Reveals a Stereoscopic Response of Rice Leaf Cells to Magnaporthe oryzae Infection by Wei Wang, Xianyu Zhang, Yong Zhang, Zhe Zhang, Chang Yang, Wen Cao, Yuqin Liang, Qinzheng Zhou, Qian Hu, Yimai Zhang, Yu Wang, Yingying Xing, Wenfeng Qian, Nan Yao, Ning Xu, Jun Liu

“…Utilizing an integrated approach of single‐cell and spatial transcriptomics, a 3D response is uncovered within rice leaf cells to M. oryzae infection. …”
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Single-nucleus and spatial transcriptomics identify brain landscape of gene regulatory networks associated with behavioral maturation in honeybees by Xiaohuan Mu, Zijing Zhang, Qun Liu, Jie Ma, Yating Qin, Haoyu Lang, Yingying Zhang, Nannan Zhang, Qunfei Guo, Pei Zhang, Denghui Li, Ruihua Zhang, Qianyue Ji, Aijun Jiang, Yang Wang, Shanshan Pan, Xiawei Liu, Xuemei Liu, Jiahui Sun, Yan Liu, Hao Chen, Li Zheng, Liang Meng, Haorong Lu, He Zhang, Yifan Zhai, Qiye Li, Junnian Liu, Huanming Yang, Jian Wang, Xiaosong Hu, Xun Xu, Shanshan Liu, Hao Zheng

“…Using single-nucleus RNA sequencing and spatial transcriptomics, we analyze the expression patterns of brain cells associated with the behavioral maturation from nursing to foraging. …”
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Capturing Math Language Use During Block Play: Creation of the Spatial and Quantitative Mathematical Language Coding System by Lindsey M. Bryant, Lauren Westerberg, Brianna L. Devlin, Tanya M. Paes, Elyssa A. Geer, Anisha Katyayan, Kathleen M. Morse, Grace O’Brien, David J. Purpura, Sara A. Schmitt

“…Similar patterns emerged between domains within the spatial and quantitative language categories. …”
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The Cortical Spatial Responses and Decoding of Emotion Imagery Toward a Novel fNIRS-Based Affective BCI by Xiaopeng Si, Yumeng Han, Sicheng Li, Shuai Zhang, Dong Ming

“…Then, statistical analyses were then conducted to reveal the significant cortical spatial response patterns. Additionally, decoding experiments and model interpretability are employed to assist in validating the feasibility of the emotion imagery BCI. …”
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A spatially-explicit assessment on equality of Urban Green Space Coverage across 32 major cities in China by P. Zhang, Q. Sun, H. Wu, J. Chen, J. Chen, H. Shang, H. Shang, X. Ji, X. Ji

“…However, the trends vary among 32 cities, exhibiting either monotonic, power-law decline or hump-shaped patterns. 2) Per capita urban green space in the urban core are generally lower than those in fringe for over 80% of case cities. 3) For 32 major cities, per capita urban green space inequality in eastern coastal China (e.g., Guangzhou) were lower than other central and western cities (e.g., Guiyang and Zhengzhou), due to better spatial alignment between green spaces supply and population demands. 4) Economic development (GDP) and urbanization (built-up area) are two key factors influencing the distribution of green space. …”
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Geospatial analysis of healthcare and older adult care institutions in Wuhan: a multimethod approach to assessing spatial equity by Bo Li, JingYi Long, JingYi Long, Yi Li, Yi Li, Yi Li

“…The spatial characteristics, distribution patterns, and interrelationships among these institutions are examined in the context of Wuhan, China. …”
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Investigating the molecular mechanisms associated with ulcerative colitis through the application of single-cell combined spatial transcriptome sequencing by Hua Huang, Jiaze Ma, An Kang, Tianwei Guo, Wei Sun, Yan Xu, Lijiang Ji

“…Employing machine learning methodologies, we screened for key genes implicated in UC and validated these findings through spatial transcriptomics. Additionally, immunohistochemistry was performed on UC lesion samples to investigate the expression patterns of the identified key genes. …”
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Spatial Distribution of Cadmium in Avocado-Cultivated Soils of Peru: Influence of Parent Material, Exchangeable Cations, and Trace Elements by Richard Solórzano, Rigel Llerena, Sharon Mejía, Juancarlos Cruz, Kenyi Quispe

“…To this end, we considered the total concentrations of other metals and explored their associations to gain a better understanding of Cd’s spatial distribution. We analyzed 26 physicochemical properties, the total concentrations of 22 elements (including heavy and trace metals such as As, Ba, Cr, Cu, Hg, Ni, Pb, Sb, Se, Sr, Tl, V, and Zn and major elements such as Al, Ca, Fe, K, Mg, and Na), and six geospatial variables in 410 soil samples collected from various avocado-growing regions in Peru in order to identity potential associations that could help explain the spatial patterns of Cd. …”
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The Impact of Climate Change on the Content and Spatial Distribution of the Total Dissolved Solids in Bandar-e-Gaz Coastal Aquifer by Mohammad Mehdi Ansarifar, Meysam Salarijazi, Khalil Ghorbani, Abdolreza Kaboli

“…Furthermore, the prediction of spatial distribution of total dissolved solids indicates that pollution in the north of the aquifer will be significantly increased, and the increase in pollution at the aquifer level will not be uniform in the spatial pattern, which can be due to the spatial distribution of residential areas, as well as water extraction wells. …”
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Forecasting Electric Vehicle Charging Demand in Smart Cities Using Hybrid Deep Learning of Regional Spatial Behaviours by Muhammed Cavus, Huseyin Ayan, Dilum Dissanayake, Anurag Sharma, Sanchari Deb, Margaret Bell

“…Compared to the best-performing traditional model (Linear Regression, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.3520</mn></mrow></semantics></math></inline-formula>), HCB-Net improved predictive accuracy by 13.5% in terms of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>, and outperformed other deep learning models such as LSTM (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mo>−</mo><mn>0.3756</mn></mrow></semantics></math></inline-formula>) and GRU (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mo>−</mo><mn>0.6276</mn></mrow></semantics></math></inline-formula>), which failed to capture spatial patterns effectively. The hybrid model also reduced RMSE by approximately 23% compared to the standalone CNN (RMSE = 0.1666). …”
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Multi-dimensional Element Graph Construction and Spatial Representation of Gardens in the Fuhai Area of Yuanmingyuan Based on Literary Cartography by Yuchao CAO, Nan ZHANG, Yuhang KONG

“…The material space elements associated with “perception – behavior” under each typical identity are then explored. The spatial patterns under the three types of identities are constructed from the levels of spatial element, organizational structure, and behavioral perception, combined with the spatial information in the Yangshi Lei Archives and the Forty Scenes of Yuanmingyuan.ResultsThe research has constructed a multi-dimensional elements graph of “environment − architecture − behavior − perception” in the Fuhai area, and has restored the spatial usage scenarios of Fuhai through spatial semantic analysis. …”
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Quantifying the Effect of Land Use and Land Cover Changes on Spatial-Temporal Dynamics of Water in Hanjiang River Basin by Hao Xi, Yanbin Yuan, Heng Dong, Xiaopan Zhang

“…Therefore, examining the spatial relationship between LUCC and water yield services is crucial for optimizing land resources and informing sustainable development policies. …”
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LiDAR-based individual tree AGB modeling of Pinus kesiya var. langbianensis by incorporating spatial structure by Zhi Liu, Xiaoli Zhang, Yong Wu, Yuansu Xu, Zhengying Cao, Zhibo Yu, Zihang Feng, Hongbin Luo, Chi Lu, Weibin Wang, Guanglong Ou

“…On average, R2 increased by 8.668%, while RMSE, SEE, and TRE decreased by 11.262%, 10.619%, and 7.570%, respectively. Spatial structure parameters facilitated a more precise and realistic depiction of competitive interactions and spatial distribution patterns among trees, thereby enhancing model performance. …”
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Weft-knitted media development for technical application for wastewater post-treatment: Effect of spatial sample shape and porosity by Irena Lenfeldova, Martina Ryvolova, Petra Jiraskova

“…Regarding initial adhesion and quick-up colonization process (advantage of fiber application), the results concerned yarn count and knitting parameters and recommended structure and patterning elements. Experimental tests did not confirm the necessity of openings in the media structure. …”
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The impact of climate risks on green technology innovation: an empirical study based on panel data of 269 cities in China by Yangyulong Wu

“…Third, over time, green technology innovation shows a spatial clustering pattern of “low-low” and “high-high.” …”
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Development of Highway Construction Route Selection Based on Ecological Sensitivity Evaluation and Intervention Optimization Strategy Research by Fan Yang, Yunlan Tang, Suwen Xiong, Chuntian Gu, Yadan Xiao

“…Based on the AHP method, this paper carries out a comprehensive assessment of the ecological sensitivity of the K0+000~K56+438 section of the Guanzhuang Tourist Highway in the Zhangjiajie Wuling Mountain Area from 2000 to 2020, and it utilizes the spatial autocorrelation analysis method to reveal the pattern of its spatial and temporal changes in ecological sensitivity. …”
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Concentric Perfect Optical Vortex Beam Generated by a Digital Micromirrors Device by Ziqiang Xin, Chonglei Zhang, Xiaocong Yuan

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