SPATIO-TEMPORAL

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Spatio-temporal correlation analysis of urbanization and ecosystem service based on grid analysis:A case study of Taixin Integrated Economic Zone,Shanxi,China
《Ecological Economy》2025年第1期2-24,共23页LIU Meng LI Shao-kun WANG Shuang LI Xiao-jing 
supported by the Natural Science Foundation of Shanxi Province(Grant No.20210302124437);the Graduate Student Research and Innovation Project of Shanxi Province(Grant No.2023KY551).
In this paper,the Taixin Integrated Economic Zone in Shanxi Province is taken as the research object,and the coupling coordination degree model and bivariate spatial autocorrelation model are used to judge the couplin...
关键词：URBANIZATION ecosystem service coupling coordination degree model bivariate spatial autocorrelation model hotspot analysis 
Spatio-temporal evolution process and mechanism of land use in creative urban tourism complex:A case study of Hangzhou Leisure Expo Garden
《Ecological Economy》2025年第1期25-47,共23页LV Jiong-yan LI Wei-wei 
Exploring the spatial evolution patterns of land use in creative urban tourism complexes provides theoretical and decision-making support to foster creative tourism projects.This study focuses on the Hangzhou Leisure ...
关键词：creative urban tourism complex land use spatio-temporal evolution Hangzhou Leisure Expo Garden 
Efficient Spatio-Temporal Predictive Learning for Massive MIMO CSI Prediction
《ZTE Communications》2025年第1期3-10,共8页CHENG Jiaming CHEN Wei LI Lun AI Bo 
supported in part by the Natural Science Foundation of China under Grant Nos.U2468201 and 62221001;ZTE Industry-University-Institute Cooperation Funds under Grant No.IA20240420002。
Accurate channel state information(CSI)is crucial for 6G wireless communication systems to accommodate the growing demands of mobile broadband services.In massive multiple-input multiple-output(MIMO)systems,traditiona...
关键词：massive MIMO deep learning CSI prediction CSI feedback 
Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation
《Tsinghua Science and Technology》2025年第1期186-197,共12页Jiawei Liu Haihan Gao Cheng Yang Chuan Shi Tianchi Yang Hongtao Cheng Qianlong Xie Xingxing Wang Dong Wang 
As one of the most crucial topics in the recommendation system field,point-of-interest(POI)recommendation aims to recommending potential interesting POIs to users.Recently,graph neural networks(GNNs)have been successf...
关键词：point-of-interest recommendation graph neural network self-supervised learning 
Photoactivated SOPP3 enables APEX2-mediated proximity labeling with high spatio-temporal resolution in live cells
《Cell Research》2025年第2期149-152,共4页Dajun Qu Yaxin Li Qian Liu Biao Cao Mengye Cao Xiaoxi Lin Chengxing Shen Peng Zou Hu Zhou Wenjuan Zhang Weijun Pan 
supported by the National Key R&D Program of China(2023YFA1802000,2018YFA0800203);the National Natural Science Foundation of China for Distinguished Young Scholars(31925014);the National Natural Science Foundation of China Key Program(32130033);the National Natural Science Foundation of Original Exploratory Program(32350006);the Key Research Program of Frontier Sciences,Chinese Academy of Sciences(ZDBS-LYSM010);Shanghai Pilot Program for Basic Research-Chinese Academy of Sciences,Shanghai Branch(JCYJ-SHFY-2022-006);Shanghai Science Technology Innovation Action Plan for Basic Research Program(21JC1406300);Haihe Laboratory of Cell Ecosystem Innovation Fund(24HHXBSS00011);CAS project for Young Scientists in Basic Research(YSBR-077);W.P.,and the National Key R&D Program of China(2022YFA1302902)to H.Z.
Dear Editor,Proximity labeling(PL)is an emerging technology for probing protein interactome in living cells.Current PL technology,like using engineered peroxidases(APEX2,HRP),is widely employed,benefiting from their h...
关键词：RESOLUTION enable PROXIMITY 
ACSF-ED: Adaptive Cross-Scale Fusion Encoder-Decoder for Spatio-Temporal Action Detection
《Computers, Materials & Continua》2025年第2期2389-2414,共26页Wenju Wang Zehua Gu Bang Tang Sen Wang Jianfei Hao 
support for this work was supported by Key Lab of Intelligent and Green Flexographic Printing under Grant ZBKT202301.
Current spatio-temporal action detection methods lack sufficient capabilities in extracting and comprehending spatio-temporal information. This paper introduces an end-to-end Adaptive Cross-Scale Fusion Encoder-Decode...
关键词：Spatio-temporal action detection encoder-decoder cross-scale fusion multi-constraint loss function 
An Arrhythmia Intelligent Recognition Method Based on a Multimodal Information and Spatio-Temporal Hybrid Neural Network Model
《Computers, Materials & Continua》2025年第2期3443-3465,共23页Xinchao Han Aojun Zhang Runchuan Li Shengya Shen Di Zhang Bo Jin Longfei Mao Linqi Yang Shuqin Zhang 
supported by The Henan Province Science and Technology Research Project(242102211046);the Key Scientific Research Project of Higher Education Institutions in Henan Province(25A520039);theNatural Science Foundation project of Zhongyuan Institute of Technology(K2025YB011);the Zhongyuan University of Technology Graduate Education and Teaching Reform Research Project(JG202424).
Electrocardiogram (ECG) analysis is critical for detecting arrhythmias, but traditional methods struggle with large-scale Electrocardiogram data and rare arrhythmia events in imbalanced datasets. These methods fail to...
关键词：Multimodal learning spatio-temporal hybrid graph convolutional network data imbalance ECG classification 
Spatio-temporal Changes and Influencing Factors of the Travel Network on China’s National Day Holiday under COVID-19
《Journal of Resources and Ecology》2025年第1期265-282,共18页DONG Yaojia WANG Fuyuan WANG Kaiyong 
The National Natural Science Foundation of China(42271252,42230510,42371253);The Theme Academic Activities of National Social Science Foundation Academic Societies(22STA021)。
COVID-19 has tremendously impacted the travel habits of urban residents.This study used the“node-line segment-network”hierarchy and Baidu migration big data to conduct a comparative analysis of the travel network pa...
关键词：resident travel PANDEMIC network characteristics influencing factors National Day holiday 
Spatio-temporal evolution of complex agricultural land use and its drivers in a super-large irrigation district(Hetao)of the upper Yellow River Basin(2000-2021)
《Journal of Geographical Sciences》2025年第2期273-292,共20页LI Xinyi SUN Chen XIAO Xue LI Zhengzhong MA Xin WANG Jun XU Xu 
National Natural Science Foundation of China,No.52379053,No.52022108;The Key Research Project of Science and Technology in Inner Mongolia Autonomous Region of China,No.NMKJXM202208,No.NMKJXM202301;The Project Funded by the Water Resources Department of Inner Mongolia Autonomous Region of China,No.NSK202103。
Accurate spatio-temporal land cover information in agricultural irrigation districts is crucial for effective agricultural management and crop production.Therefore,a spectralphenological-based land cover classificatio...
关键词：land cover cropping system classification PHENOLOGY remote sensing agricultural irrigated area 
Dynamic Multi-Graph Spatio-Temporal Graph Traffic Flow Prediction in Bangkok:An Application of a Continuous Convolutional Neural Network
《Computer Modeling in Engineering & Sciences》2025年第1期579-607,共29页Pongsakon Promsawat Weerapan Sae-dan Marisa Kaewsuwan Weerawat Sudsutad Aphirak Aphithana 
The ability to accurately predict urban traffic flows is crucial for optimising city operations.Consequently,various methods for forecasting urban traffic have been developed,focusing on analysing historical data to u...
关键词：Graph neural networks convolutional neural network deep learning dynamic multi-graph SPATIO-TEMPORAL 
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