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Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network
Published 2024-01-01“…Given that high-density surface EMG (HD-sEMG) signal contains rich temporal and spatial information, the multi-view spatial-temporal graph convolutional network (MSTGCN)is adopted as the basic classifier, and a feature extraction convolutional neural network (CNN) module is designed and integrated into MSTGCN to generate a new model called CNN-MSTGCN. …”
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622
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623
A multi-visual measurement method for ultimate tensile elongation of steel strand based on spatial characteristics
Published 2025-12-01“…Unlike existing contact or single-camera systems, our approach captures real-time transverse and longitudinal deformations through synchronized multi-view imaging and processes them via an advanced spatial deformation model. Uniaxial tension tests were conducted on nine repeated samples of the same steel strand material, divided into three separate batches. …”
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624
Temporal and spatial hydrogeochemical evolution and lead isotopic composition of a contaminated stream of Taxco, Guerrero, Mexico
Published 2020-03-01“…The AMD shows significant spatial but smaller temporal variations. Flow of AMD through a culvert made of concrete produces the most important chemical changes recorded regardless of the time of year significantly decreasing the electrical conductance and the concentration of total and soluble potentially toxic elements. …”
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625
Spatially resolved transcriptomic signatures of hippocampal subregions and Arc-expressing ensembles in active place avoidance memory
Published 2024-10-01“…We conducted bulk RNA sequencing and spatial transcriptomics experiments to measure gene expression changes in the dorsal hippocampus following the recall of active place avoidance (APA) memory. …”
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626
Camera trap-based estimates reveal spatial variability in African clawless otter population densities and behaviour
“…This highlights a need for broader spatial coverage of otter population assessments and future studies to assess potential environmental drivers of spatial, and potentially temporal, variation in population numbers and activity patterns.…”
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627
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628
Dangerous Glacial Lakes Identification With Property-Spatial Associations in High Mountain Asia From 1990 to 2022
Published 2025-01-01“…In this work, we conducted an appraisal of GLOF risks in HMA by reasoning the association between the glacial lake spatial and property data. …”
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629
Spatial Patterns and Functional Diversity of Nearshore and Offshore Coral-Reef Fish Communities in the South China Sea
Published 2025-06-01“…Significant spatial differences were observed in species composition, functional trait structure, and responses to environmental disturbance. …”
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630
Ecological risk assessment of oilfield soil through the use of machine learning combining with spatial interaction effects
Published 2025-09-01“…The potential ecological risk index (RI) method was utilized to assess ecological risks, and spatial autocorrelation analysis was conducted to determine the spatial distribution characteristics of the pollutants. …”
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631
Hotspot areas of tetanus-unprotected births and its associated factors in Ethiopia: Spatial analysis of EDHS data
Published 2024-12-01“…Spatial analysis was done using ArcGIS and SaTScan software. …”
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632
Effect of experimental and clinical pain on the spatial distribution of muscle activity: a systematic review and meta-analysis
Published 2025-07-01“…Accordingly, this study systematically evaluates the scientific evidence on alterations in the spatial distribution of muscle activity, quantified by shifts in the center of activity of high-density surface electromyography (HD-sEMG) signals, under experimental and clinical pain conditions.MethodsA comprehensive database search was conducted from inception to June 6, 2025. …”
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633
Radon survey in Chelyabinsk Oblast, Russia, in 2008–2011. Analysis of spatial variability of indoor radon concentration
Published 2020-10-01“…An extensive radon survey was conducted in 2008-2011 in the framework of the Federal target program on the territory of 29 districts of Chelyabinsk Oblast. …”
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634
DEPDet: A Cross-Spatial Multiscale Lightweight Network for Ship Detection of SAR Images in Complex Scenes
Published 2024-01-01“…Finally, we introduce partial convolution to construct a lightweight detection head module PCHead, which can be employed to extract spatial features with greater efficiency. The publicly available SAR ship datasets, SAR Ship Detection Dataset and High-Resolution SAR Image Dataset, are employed for the purpose of conducting experiments. …”
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635
Le faux miroir de l’objectif : enquête sur la fabrication des données spatiales
Published 2024-09-01“…The following article deals with the production of spatial data by using drones and satellites with a particular emphasis on the civil and humanitarian sphere. …”
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636
Spatial transcriptomics reveals unique metabolic profile and key oncogenic regulators of cervical squamous cell carcinoma
Published 2024-12-01“…To delve deeper into the understanding of CSCC development, our research focused on analyzing the tumor microenvironment and metabolic characteristics across different regions of tumor tissue. Methods Utilizing spatial transcriptomics (ST) sequencing technology, we conducted a study on FFPE (formalin-fixed paraffin-embedded) tumor samples from CSCC patients. …”
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637
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638
R-MLGTI: A Grid- and R-Tree-Based Hybrid Index for Unevenly Distributed Spatial Data
Published 2025-06-01“…In recent years, with the development of sensor technology, the volume of spatial data has grown exponentially. However, this data is often unevenly distributed, and traditional indexing methods cannot predict the overall data distribution when data are continuously inserted into the database. …”
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639
Spatial variation of intimate partner violence and its public health implication: a cross-sectional study
Published 2025-08-01“…Descriptive and inferential analyses were carried out on the data using Microsoft Excel dashboards, spatial map and random-intercept logistic regression. …”
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640
Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data
Published 2020-01-01“…., multiclass versus binary classification) on patterns of brain activity encoding spatial information of body parts have not yet been studied. …”
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