Effect of involuntary and voluntary exercise in an enrichment environment on astrogliosis reaction of hippocampus white matter in type 3 diabetic rat models by Masoud Jamshidi, Mohammadreza Kordi, Fatemeh Shabkhiz

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Artificial Intelligence-Driven Identification of Favorable Geothermal Sites Based on Radioactive Heat Production: Case Study from Western Türkiye by Elif Meriç İlkimen, Cihan Çolak, Mahrad Pisheh Var, Hakan Başağaoğlu, Debaditya Chakraborty, Ali Aydın

“…The potential geothermal sites identified by the AI models align closely with those identified by statistical models and show strong agreement with independent datasets, including existing drilling locations, thermal springs, and the distribution of major earthquake epicenters in the region.…”
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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

“…The study found that the center of gravity of carbon emissions showed a significant southwest-northeastward migration trajectory, and there was a spatial differentiation feature of central urban agglomeration and peripheral area dispersion. …”
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Identifying trade-offs and synergies among land use functions using an XGBoost-SHAP model: A case study of Kunming, China by Kun Li, Junsan Zhao, Yongping Li, Yilin Lin

“…Exploring the spatial non-stationarity and driving mechanisms of trade-offs/synergies among land use functions(LUFs), which are crucial for effectively alleviating human-land conflicts and enhancing the overall benefits and sustainable development of regional territorial space. …”
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Construction and Overall Protection of Ecological and Marine Cultural Composite Landscape Network in Quanzhou, Fujian by Dongfang LU, Yaru ZHENG, Tianteng HAN, Shunhe CHEN

“…Based on the evaluation results of the gravity model, these corridors are classified into first-class, second class, and third-class corridors, forming the spatial pattern of the Quanzhou ecological network. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Individual Tree Structure Segmentation Using Terrestrial LiDAR Point Cloud Data by Sangjin Lee, Woodam Sim, Yongkyu Lee, Jeongmook Park, Jintaek Kang, Jungsoo Lee

“…A total of 17 input features were categorized into spatial coordinates and normals, geometric structure features, and local distribution features. …”
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Sensitivity of WRF model parameterizations in simulating extreme rainfall over complex terrain – case of July 2020 over the Poyang Lake basin, China by Jinru Wu, Jianzhong Lu, Xiaoling Chen

“…Increasing the horizontal resolution has a limited improvement in rainfall simulation (1.3%), while choosing a suitable parameterization schemes combination can significantly improve the simulation accuracy by 34.3%. (2) Among the 36 experiments, c5 containing parameterization schemes of Morrison, BMJ, YSU and Slab shows overall best performance in simulating accumulated areal rainfall as well as spatial and temporal distributions. (3) CU schemes have the largest impact on the rainfall simulation, followed by MP, PBL and LSM.…”
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Analysis on Spatiotemporal Variation in Soil Drought and Its Influencing Factors in Hebei Province from 2001 to 2020 by Biao Zeng, Bo Wen, Xia Zhang, Suya Zhao, Guofei Shang, Shixin An, Zhe Li

“…The results show the following: (1) over the past 20 years, soil drought in Hebei Province has shown a trend of “first intensifying and then easing”, experiencing two turning points, and its spatial distribution showed significant agglomeration characteristics. (2) Soil moisture showed single-peak seasonal fluctuation, with severe drought from January to May, peak soil moisture from June to August, soil moisture balance from September to October, and soil moisture deficit intensified in winter. (3) Soil moisture stability showed spatial differentiation, being high in the northeast and low in the southwest. …”
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Estimation of Snow Water Equivalent in Semiarid Zone from Data of Global Numerical Models ICON and GFS/NCEP (Case Study of the Selenga River Basin) by A. N. Shikhov, V. N. Chernykh, A. A. Aurzhanaev, S. V. Pyankov, R. K. Abdullin

“…In general, reasonable estimates of the SWE spatial distribution were obtained. While in 2021, both overestimation and underestimation by 1–15 mm (20–50%) of the calculated SWE was observed at different sites compared to the measurements, in 2022, its systematic underestimation was observed, especially significant in calculations using the ICON model data. …”
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Identifying the spatiotemporal evolution of nucleic acid testing sites and their influencing factors to support public health emergency management: A case study in Hangzhou, China by Song Yao, Mingjun Cheng, Yunchen Zhu, Xiangyang Quan, Fangqi Wang, Zhaoxuan Xia, Shan Huang, Yonghua Li

“…The results show that: (1) The number of NAT sites underwent four phases over time and exhibited substantial spatial concentration in Shangcheng, Gongshu, Xihu, and Binjiang districts. (2) The population density, human footprint, and the digital elevation model were the dominant potential influencing factors for the location of NAT sites, with the explanatory power of interactions among influencing factors being higher than that of individual factors. (3) The location of NAT sites in the Shangcheng, Gongshu, Xihu, and Binjiang districts has a significant positive correlation with population density, while the relationship was not significant in other regions. …”
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Characterization of river plume dynamics for a better water quality management by René Friedland, Thomas Neumann, Sarah Piehl, Hagen Radtke, Gerald Schernewski, Gerald Schernewski

“…Due to the missing separation of the river plume area from the open sea waters, its management is suffering from the too coarse classification. We apply two model-based techniques to study the spatial and temporal variability of the Oder river plume and to follow the distribution of its nutrients and pollutants in the sea. …”
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A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

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Spatio-temporal evolution in habitat quality and its driving factors in Han River Basin, China by Jiefeng Kou, Jun Liu, Hongliang Wang, Shun Huang, Zheng Zhou, Chao Yang, Xiaolong Huang

“…In order to address the above issues, this study analyzed the spatial and temporal evolution characteristics of HQ from 2000 to 2023 based on the InVEST model, and quantitatively explored the primary driving factors of HQ changes through the Geodetector method. …”
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Suitability prediction of potential arable land in southeast coastal area of China by Yan Zheng, Xiaohuang Liu, Jianwei Shi, Ping Zhu, Run Liu, Liyuan Xing, Hongyu Li, Chao Wang

“…This study predicted the potential suitable areas for cultivated land in the southeast coastal region using 32 environmental variables by the R-optimized MaxEnt model. Then, the spatial distribution pattern and centroid migration trend of the potential habitat area under two greenhouse gas emission scenarios (SSP126 and SSP585) in the future 2021–2040 (2040s) and 2041–2060 (2060s) were modeled. …”
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An Efficient Uncertainty-Driven Learning for Stochastic Super-Resolution by Daeyoung Han, Seongmin Hwang, Hoyeon Ahn, Moongu Jeon

“…While recent stochastic SISR approaches address this by modeling conditional distributions, they commonly assume isotropic Gaussian priors, overlooking spatial variations in uncertainty across the image. …”
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Investigation of farmers’ awareness of water conservation and its determinants in arid regions: A case study of the Turpan-Hami Basin by Dongping Guo, Abdugheni Abliz, Yue Kong, Jialin Li, Xianhe Liu, Buasi Nurahmat

“…This study used random sampling to assess water conservation awareness among 332 farmers in the Turpan–Hami Basin and systematically analyzed its spatial distribution and key influencing factors using kriging interpolation and a binary logit model. …”
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Evaluation and trade-offs/synergies of ecosystem services in Jilin Province by Yue Zhu, Jiafu Liu, Baihao Zhang

“…Abstract The study of spatial and temporal patterns of ecosystem services and trade-offs/synergies relationships clarifies the distribution of ecological functional areas, which is a top priority for the coordinated development of regional economy-society-ecology. …”
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Exploring the role of PANoptosis related genes in the prognosis of oral squamous cell carcinoma subtypes based on multi-omics analysis by Yang Liu, Lingdu Wen, Lijuan Yan, Zifeng Cui

“…Clustering algorithms identified OSCC subtypes, which were examined for differences in spatial distribution, biological pathways, drug sensitivity, prognosis, and immune infiltration. …”
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Improving the Parameterization of Complex Subsurface Flow Properties With Style‐Based Generative Adversarial Network (StyleGAN) by Wei Ling, Behnam Jafarpour

“…The results show that parameterization with StyleGANs provides superior performance in terms of reconstruction fidelity and flexibility, underscoring its potential for improving the representation and reconstruction of complex spatial patterns in subsurface flow model calibration problems.…”
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The impact of landscape patterns on surface runoff in the central urban area of Chengdu by Ying Kang, Jingjing Liu, Qin Liu, Wenli Zhao, Yunjun Guo

“…This study constructs a Source-Sink Runoff Landscape Index (SSRLI), and it utilises the Storm Water Management Model (SWMM) to simulate the spatial distribution characteristics of surface runoff in the central urban area of Chengdu under different rainfall scenarios, exploring the relationship between landscape patterns and surface runoff. …”
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