Intelligent Agricultural Greenhouse Extraction Method Based on Multifeature Modeling: Fusion of Geometric, Spatial, and Spectral Characteristics by Yujie Wu, Jiguang Dai, Yue Zhu, Tengda Zhang

“…The spatial distribution of agricultural greenhouses plays a crucial role in precision agriculture management and the achievement of sustainable development goals. …”
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An Eighth-Order Numerical Method for Spatial Variable-Coefficient Time-Fractional Convection–Diffusion–Reaction Equations by Yuelong Feng, Xindong Zhang, Leilei Wei

“…Using the Lagrange polynomial interpolation formula for the time-fractional derivative and a compact finite difference approximation for the spatial derivative, we establish an unconditionally stable compact difference method. …”
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Lightweight deep learning model with ResNet14 and spatial attention for anterior cruciate ligament diagnosis by Herman Herman, Yogan Jaya Kumar, Sek Yong Wee, Vinod Kumar Perhakaran

“…The model processes knee MRI scans using a ResNet architecture, comprising a series of residual blocks and a spatial attention mechanism, to focus on the essential features in the imaging data. …”
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Spatial correlations between cultural ecosystem services and human activities along the Shenyang’s Hun River corridor by Kaidan Hou, Ling Zhu

“…This research endeavors to conduct an exhaustive analysis of the spatial patterns between CES and HAI along Shenyang’s Hun River corridor, as well as to explore the interrelationships between these two factors. …”
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Spatial Analysis of Disadvantaged Population: A Case Study of Flood Exposure in the Itapocu River Basin, Brazil by Rafael Silva Araújo, Miho Ohara, Mamoru Miyamoto, Kuniyoshi Takeuchi

“…Thus, assessing the vulnerable population's location and exposure to hazards such as floods is important for designing disaster risk reduction policies. This study conducts such an analysis considering five disadvantage dimensions: age, gender, race, socioeconomic status, and housing spatially distributed in cell grids, which were compiled into a disadvantage index (DI). …”
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The Results of Studying Spatial Perception in Children with Ophthalmopathology Using the Technique of Copying Taylor’s and Rey–Osterrieth’s Figures by S. I. Rychkova, V. G. Likhvantseva, R. I. Sandimirov

“…Thus, the method used in the work is informative, allows to identify the features of spatial perception in children with different ophthalmopathology and conduct a comparative analysis of its characteristics.…”
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Modeling the Solar Transition Region: Effects of Spatial Resolution on the Atmospheric Structure, Emission and Non-equilibrium Ionization by Takuma Matsumoto

“…The solar transition region (TR) is a narrow interface between the chromosphere and corona, where emitted radiation contains critical information pertinent to coronal heating processes. We conducted two-dimensional radiation magnetohydrodynamics simulations using adaptive mesh refinement to spatially resolve the fine structure of the TR while simultaneously capturing the larger-scale dynamics originating from surface convection. …”
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Seasonal and Spatial Changes of Microorganism Communities in Constructed Wetlands: A Community Level Physiological Profiling Analysis by Florent Chazarenc, Jacques Brisson, Gérard Merlin

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Temporal-spatial characteristics and path analysis of maritime cyclones in Guangdong coastal areas in the South China Sea by Cheng Chen, Lei Wang, Ruozhou Chen, Fangliang Xing, Jun Chen

“…The temporal-spatial characteristics were also studied. Results show there were 183 tropical cyclones landed in Guangdong coast in the past 68 years, with an average of 2.7 each year, which more than 60 percent were a typhoon. …”
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Development of Student Worksheets on Spatial Structure Material Based on Candi Penataran to Support Student Learning Outcomes by Anisah Salsabila, Asfira Zakiatun Nisa, Erni Anggraini, Marhayati Marhayati

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HSF-DETR: A Special Vehicle Detection Algorithm Based on Hypergraph Spatial Features and Bipolar Attention by Kaipeng Wang, Guanglin He, Xinmin Li

“…This paper proposes HSF-DETR (Hypergraph Spatial Feature DETR), integrating four innovative modules: a Cascaded Spatial Feature Network (CSFNet) backbone with Cross-Efficient Convolutional Gating (CECG) for enhanced long-range detection through hybrid state-space modeling; a Hypergraph-Enhanced Spatial Feature Modulation (HyperSFM) network utilizing hypergraph structures for high-order feature correlations and adaptive multi-scale fusion; a Dual-Domain Feature Encoder (DDFE) combining Bipolar Efficient Attention (BEA) and Frequency-Enhanced Feed-Forward Network (FEFFN) for precise feature weight allocation; and a Spatial-Channel Fusion Upsampling Block (SCFUB) improving feature fidelity through depth-wise separable convolution and channel shift mixing. …”
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The use of bivariate spatial modeling of questionnaire and parasitology data to predict the distribution of Schistosoma haematobium in Coastal Kenya. by Hugh J W Sturrock, Rachel L Pullan, Jimmy H Kihara, Charles Mwandawiro, Simon J Brooker

“…<h4>Methodology</h4>Data from a questionnaire survey conducted by the Kenya Ministry of Education in Coast Province in 2009 were combined with available parasitological and environmental data in a Bayesian bivariate spatial model. …”
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Spatial-temporal assessment of soil erosion using the RUSLE model in the upstream Inaouène watershed, Northern Morocco by Chakir Hamouch, Jamal Chaaouan, Charaf eddine Bouiss

“…To achieve this, we incorporated various factors of the equation into a Geographic Information System (GIS) and spatial remote sensing. By overlaying these factors, we obtained a quantitative map of soil losses in our watershed. …”
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Spatial Patterns and Functioning of Water Springs in the Sacred Landscape Structure: The Case of Lviv and Volyn Oblasts of Ukraine by Olena Mishchenko, Valerii Petlin, Serhii Puhach

“…This article aims to determine the spatial distribution and role of consecrated/sacred springs in the formation of sacred landscapes. …”
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Investigating the Morphology of the Iranian Bazaar with Urban Spatial Design Approaches, Case Studies: Kerman and Shiraz Bazaars by Azadeh Lak, Pantea Hakimian

“…This research aims to carry out a deep study of the morphology of the Iranian bazaar in order to preserve the most important urban element in the spatial-cognitive structure of the historic cities of Shiraz and Kerman. …”
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Distribution of Hypertension Cases Based on Primary Health Care 2017–2021 in Malang, Indonesia: Spatial Analysis by Alifia Irbah Imtinani, Eny Qurniyawati

“…The study aimed to describe the distribution of hypertension cases at the primary health care level in Malang Regency, Indonesia using spatial analysis. Methods: This was a descriptive analysis study using secondary data obtained from the Health Profile of Malang Regency from 2017 to 2021. …”
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Multi-Objective Optimization of Urban Gas Station Site Selection Under Territorial Spatial Planning Constraints by Jie Zhu, Mengyao Zhu, Li Chen, Li Luo, Weihua Wang, Xueming Zhu, Yizhong Sun

“…Compared to traditional methods that often ignore territorial spatial planning constraints, this framework effectively avoids conflicts with urban planning and regulatory requirements. …”
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Investigating the Temporal and Spatial Characteristics of Lower Atmospheric Ducts in the Arctic via Long-Term Numerical Simulations by Jinyue Wang, Xiaofeng Zhao, Jing Zou, Pinglv Yang, Bo Wang, Shuai Yang, Zhijin Qiu, Zhiqian Li, Tong Hu, Miaomiao Song

“…A five-year simulation was then conducted across the entire Arctic region to investigate the temporal and spatial characteristics of lower atmospheric ducts. …”
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From Invaginating Site to Deep Lesion: Spatial Transcriptomics Unravels Ectopic Endometrial Penetration Features in Adenomyosis by Boyu Li, Jia Qi, Yumeng Cao, Yijing Long, Zhe Wei, Wang‐Sheng Wang, Shuanggang Hu, Yuan Wang, Qinling Zhu, Xiao Hu, Zhe Sun, Jie Zhu, Taiyang Ye, Yejie Yao, Yiwen Meng, Xuejiao Bian, Xinyi Dong, Hengyu Guan, Yunfei Huang, Yun Sun

“…In addition, the authors employ bulk RNA sequencing deconvolution to assess the significance of core spatial ecotypes, use histological techniques to target specific cell types, and conduct in vitro experiments for validation. …”
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A Remote Sensing Image Change Detection Method Integrating Layer-Exchange and Channel-Spatial Differences by Sijun Dong, Fangcheng Zuo, Geng Chen, Siming Fu, Xiaoliang Meng

“…In deep learning, the spatial and channel dimensions of feature maps represent distinct types of information derived from the original images. …”
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