Coordinated Development and Spatiotemporal Evolution Trends of China’s Agricultural Trade and Production from the Perspective of Food Security by Yueyuan Yang, Chunjie Qi, Yumeng Gu, Cheng Gui

“…On this basis, a coupling coordination degree model and Moran’s I indices are used to analyze the coordinated development level’s temporal changes and spatial effects. The research finds that the development levels of China’s agricultural trade and production show an upward trend but currently still exhibit the pattern of higher levels in Eastern China and lower levels in Western China. …”
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Evaluation and driving force analysis of relative effectiveness in the giant panda national park in Sichuan, China by Bao Meng, Bao Meng, Mengchao Wang, Zhifeng Zhang, Hongyi Pan

“…Normalized Difference Vegetation Index (NDVI) is a key indicator to measure the health of ecosystems, which can effectively quantitatively reveal the spatial and temporal changes of ecological protection effects. …”
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Applicability Evaluation of China’s First Generation of Global Land Surface Reanalysis （CRA40/Land） Air Temperature and Precipitation Products in China Mainland by Caixia WANG, Anning HUANG, Peng ZHENG, Kai LIU, Min HOU

“…The applicability of first-generation of Chinese land surface reanalysis dataset （CRA40/Land） has been evaluated with the observations from 2231 national meteorological stations and further compared with the ERA5 and CFSR datasets in terms of the spatial and temporal variations of monthly air temperature and precipitation.Triangulation linear interpolation is used to interpolate grid data into stations， and station data into grid.The China mainland is divided into four regions according to the stations distribution and topographic features.The bias， standard deviation ratio， root mean square error （RMSE）， correlation coefficient and model skill of the 3 reanalysis datasets in four regions are computed to compare the accuracy and evaluate the application.The comparative results suggest that the CRA40， ERA5 and CFSR datasets can reproduce similar spatio-temporal distribution patterns of the monthly air temperature and precipitation with the observations in Mainland of China.In particular， they all show much better performance in the eastern China than in western China and in winter than in summer.For the monthly air temperature， the mean errors of the 3 reanalysis datasets are generally within 2 ℃， with slightly better performance for the CRA40 and ERA5 datasets.For the monthly precipitation， the errors of the 3 reanalysis datasets show large differences， the CRA40 performs the best and shows the highest applicability over Mainland of China among the 3 datasets.…”
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Assessing Nitrogen Dioxide in the Highveld Troposphere: Pandora Insights and TROPOMI Sentinel-5P Evaluation by Refilwe F. Kai-Sikhakhane, Mary C. Scholes, Stuart J. Piketh, Jos van Geffen, Rebecca M. Garland, Henno Havenga, Robert J. Scholes

“…Yet, there is scant information on the current state and recent evolution of these atmospheric pollutants over a range of spatial and temporal scales, especially in Africa. …”
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Spatiotemporal dynamics of toxin producing phytoplankton–zooplankton interactions with Holling Type II functional responses by Randhir Singh Baghel

“…Furthermore, we obtained the time evaluation pattern formation of the spatial system. …”
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Análisis del patrón de carrera sobre superficie artificial y natural en futbolistas adolescentes (Analysis of the running pattern on artificial and natural surface in adolescent f... by Brandon López-Gómez, David Andrés Pérez-Mendoza, Julián Santiago Guzmán-Revelo, Luis Gabriel Rangel-Caballero, Yully Corzo-Vargas, Tábata de Paula Facioli, Adriana Angarita Fonseca, Juan Carlos Sanchez Delgado

“…Objective: To compare the spatial-temporal variables of the running pattern over two surfaces in adolescent soccer players. …”
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Intense Human Activities Induce the Dynamic Changes of Interaction Pattern Between Karst Water‐Quaternary Groundwater in the Basin‐Mountain Coupling Belt Over the Past 60 Years... by Chengcheng Li, Xubo Gao, Xuanli Xiang, Chunfang Jiang, Yan Duan, Wanzhou Wang, Xin Zhang, Ting Tan, Quanrong Wang, Yanxin Wang

“…Precautions should be taken when evaluating global water resources changes, in view of the dynamic interaction between the karst water‐Quaternary groundwater spatially and temporally.…”
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Validation and sensitivity analysis of the FLEXPART model using the Kincaid experiment data by Huanting Li, Li Yang, Yinglu Cao, Xinpeng Li, Sheng Fang

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A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images by Mishmala Sushith, A. Sathiya, V. Kalaipoonguzhali, V. Sathya

“…The spatial feature extraction is enhanced by multi-scale feature extraction to capture fine details and broader patterns. …”
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Spatiotemporal evaluation of irrigation groundwater quality in Hungarian agricultural sites using hydrochemical and machine learning approaches by Musaab A. A. Mohammed, Norbert P. Szabó, Viktória Mikita, Péter Szűcs

“…The research integrates hydrochemical assessment with machine learning to enhance the spatiotemporal evaluation of irrigation water quality. Groundwater samples from the Debrecen area (2019–2024) were analyzed using Hierarchical Cluster Analysis (HCA), irrigation indices (SAR, Na%, IWQI), and Self-Organizing Maps (SOMs) to understand spatial and temporal patterns. …”
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Evaluation of SDGSAT-1 MII data in total suspended matter estimation in clear to extremely turbid rivers by Shenglei Wang, Zichen Mao, Bing Zhang, Xiaolong Yu, Fenqi Zhao, Xiaofei Song, Changyong Dou, Fangfang Zhang, Junsheng Li

“…The model was then applied to map the TSM variations in the Hai and Liao Rivers in northern China using the MII data, where reliable spatial and temporal patterns were observed. The study concludes by discussing the applicability of MII data in water quality mapping in nearshore waters, along with key considerations such as model applicability, atmospheric correction, and land adjacency.…”
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Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece by Dimitrios Katsanos, Adrianos Retalis, John Kalogiros, Basil E. Psiloglou, Nikolaos Roukounakis, Marios Anagnostou

“…Mediterranean tropical-like cyclones, or Medicanes, present unique challenges for precipitation estimations due to their rapid development and localized impacts. This study evaluates the performance of satellite precipitation products in capturing the precipitation associated with Medicane Daniel that struck Greece in early September 2023. …”
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Sheffield Adaptive Patterned Electrical Stimulation (SHAPES) Therapy for Post Stroke Arm spasticity: study protocol for a 3-arm, a partially blinded, randomised controlled trial by Ali Ali, Avril D. McCarthy, Mark Reeves, Jamie Healey, Louise Moody, Adewale Adebajo, Tim Good, Simon Dixon, Kathleen Baster, Wendy Tindale, Krishnan Padmakumari Sivaraman Nair

“…We aim to investigate the efficacy of Sheffield Adaptive Patterned Electrical Stimulation (SHAPES), that delivers temporally and spatially varying pattern of electrical stimulation, against transcutaneous electrical stimulation (TENS) and standard care at reducing PSES. …”
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Evaluating the effects of climate-induced heatwaves on the thermal dynamics and water quality of a deep reservoir in Portugal by Manuel Almeida, Senlin Zhu, Rita M. Cardoso, Pedro M.M. Soares, Pedro Coelho

“…A novel, in-depth approach is used to assess the spatial distribution of climate forcing effects across the reservoir's 2D space. …”
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Compatibility Evaluation of Photovoltaic and Hydroelectric Power Generation Potential in the Beijiang River Basin Based on Climate Resources by Ren Yifang, Zhao Yanxia, Chen Sining, Sun Qing, Li Muyuan, Zhang Yi, Liu Li

“…From perspectives of spatial and temporal dimensions, and considering imbalances, fluctuations, differences, synergies, and complementarity of water-solar coupling power generation, various indices are constructed. …”
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Assessment of Urban Flood Resilience Under a Novel Framework and Method: A Case Study of the Taihu Lake Basin by Kaidong Lu, Yong Liu, Yintang Wang, Tingting Cui, Jiaxing Zhong, Zijiang Zhou, Xiaoping Gao

“…Spanning 1999–2020, the analysis reveals three key insights: (1) weight allocation via GTCWM identifies defense capacity (0.224) and hazard (0.224) as dominant dimensions, with drainage pipeline density (0.091), flood-season precipitation (0.087), and medical capacity (0.085) ranking as the top three weighted indicators; (2) temporal trends show an overall upward trajectory in UFR, interrupted by a sharp decline in 2011 due to extreme hazard events, with Shanghai and Hangzhou exhibiting the highest UFR levels, contrasting Zhenjiang’s persistently low UFR; (3) spatial patterns reveal stronger UFR in southern and eastern areas and weaker resilience in northern and western regions. …”
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Mapping Gridded GDP Distribution of China Based on Remote Sensing Data and Machine Learning Methods by Saimiao Liu, Wenliang Liu, Yi Zhou, Shixin Wang, Futao Wang, Zhenqing Wang

“…Consequently, both methods are combined to construct the overall GDP spatialization model. (3) The accuracy of the GDP spatialization results is evaluated based on town-level GDP statistics, with an <i>R</i>² value of 0.78, indicating its reliable predictive capability. (4) Compared with publicly available GDP datasets, our dataset exhibits consistent spatial distribution patterns and aggregation trends. …”
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User Trajectory Prediction in Cellular Networks Using Multi-Step LSTM Approaches: Case Study and Performance Evaluation by Iskandar, Hajiar Yuliana, Hendrawan, Adriel Timoteo, Fabian Rafinanda Benyamin, Naufal Bhanu Anargyarahman

“…While LSTM excels in capturing sequential temporal patterns, Transformer introduces multi-head attention mechanisms to model complex spatial and temporal dependencies, filling a significant research gap in trajectory prediction. …”
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Evaluation of risk-based antigen and antibody surveillance strategies and their association with HPAI outbreaks in South Korean duck farms by Saleem Ahmad, Dae Sung Yoo

“…Testing frequencies and intervals were assessed across high-risk (October–May) and low-risk (June–September) periods, as well as during non-epidemic (2019–2020) and epidemic (2020–2021 and 2021–2022) seasons. Spatial hotspot analysis (Getis-Ord Gi*) and negative binomial regression were applied to evaluate associations between test patterns and HPAI outbreak occurrence. …”
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Disaster Resilience Evaluation of Mountainous Rural Communities: A Case Study of Representative Villages in the Anning River Basin, Liangshan Prefecture by Wu Yuanfei, Liu Mengying, Tian Bingwei, Tian Renjie, Hu Yifan

“…Focusing on four representative communities (Taoyuan, Caogu, Niulang, and Qunying) in the Anning River Basin of Liangshan Prefecture, Sichuan Province, China, a combination of field surveys, GIS spatial analysis, and multi-source datasets were used to empirically evaluate community resilience. …”
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