Anti-inflammatory effects of 64Zn-aspartate is accompanied by cognitive improvements in rats with Aβ1-40-induced alzheimer disease by Max Temnik, Mariia Rudyk, Alexandr Balakin, Sergey Gurin, Taisa Dovbynchuk, Roman Byshovets, Nataliia Dzubenko, Ganna Tolstanova, Larysa Skivka

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A Novel Traffic Analysis Zone Division Methodology Based on Individual Travel Data by Kai Du, Jingni Song, Dan Chen, Ming Li, Yadi Zhu

“…First, individual spatiotemporal travel patterns are mapped and discretized in both the spatial and temporal dimensions. Travel characteristic data are then extracted for spatial grid units. …”
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Prognostic Value of Deep Learning‐Extracted Tumor‐Infiltrating Lymphocytes in Esophageal Cancer: A Multicenter Retrospective Cohort Study by Peishen Li, Shujie Huang, Haijie Xu, Zijie Li, Sichao Wang, Zhen Gao, Yuejiao Dong, Zhuofeng Chen, Guibin Qiao, Hansheng Wu, Liangli Hong

“…Further studies should focus on the lymphocyte subgroups and make better use of the spatial information to improve the predictive efficacy of TILs.…”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…Objective Integrating IoT technologies into the healthcare system has significantly raised the prospects for patient monitoring and disease prediction. However, the present-day models have failed to effectively encompass spatial-temporal data samples. …”
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A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery by Xuqing Li, Huitao Gu, Ruiyin Tang, Bin Zou, Xiangnan Liu, Huiping Ou, Xuying Chen, Yubin Song, Wei Luo, Bin Wen

“…The optimal model was extended to the entire region for drawing the spatial distribution map of soil heavy metal content. …”
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Global Resistive Magnetohydrodynamic Accretion Flows around Spinning Active Galactic Nuclei: Impact of Resistivity on the Magnetically Arrested Disk State by Ramiz Aktar, Kuo-Chuan Pan, Toru Okuda

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Action Recognition with 3D Residual Attention and Cross Entropy by Yuhao Ouyang, Xiangqian Li

“…Additionally, the integration of Fast Fourier Convolution (FFC) enhances the network’s capability to effectively capture temporal and spatial features. Simultaneously, we used the cross-entropy loss function to describe the difference between the predicted value and GT to guide the model’s backpropagation. …”
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A Graph Convolutional Network Framework for Area Attention and Tracking Compensation of In-Orbit Satellite by Shuai Wang, Ruoke Wu, Yizhi Jiang, Xiaoqiang Di, Yining Mu, Guanyu Wen, Makram Ibrahim, Jinqing Li

“…On this basis, we propose and build an in-orbit satellite region of interest prediction model, which effectively enhances the perception of in-orbit satellite feature information and can be used for in-orbit target prediction. …”
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Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy by Yuan Liu, Songchao Chen, Ge Shen, Cheng Chen, Zejiang Cai, Ji Zhu, Xia Zhang, Guofei Shang, Qingbo Zhou, Sonoko Dorothea Bellingrath-Kimura, Qiangyi Yu, Wenbin Wu

“…Studies have shown that crop rotation improves soil organic matter prediction. However, simply incorporating crop rotation may not significantly improve soil pH prediction, because the spatial variability in soil pH is lower and the way crop rotation influences pH is different. …”
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Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

“…The study found that a hybrid model based on different habitat patches achieved higher accuracy than the single model for the whole study area (for example, with RF FS method and modeling, R² increased by 2.17%–34.78%, and RMSE decreased by 2.19%–28.80%). …”
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Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

“…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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Increased Phosphorus Losses in the Food System in China and Region‐Specific Mitigation Strategies to Ensure Losses Below Safe Limits by Jichen Zhou, Wim deVries, Lin Ma, Xiaoqiang Jiao, Kai Zhang, Yang Lyu, Zed Rengel, Fusuo Zhang, Jianbo Shen

“…Here, we examined the trends and driving factors of (a) P losses from the food chain in 31 provinces in China over the period 1980–2016 and (b) predicted 2030 losses under different scenarios using the NUFER model and the Geographical Detector model. …”
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Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing by Xi Cheng, Jieyu Yang, Zhiyong Han, Guozhong Shi, Deng Pan, Likang Meng, Zhuojun Zeng, Zhanfeng Shen

“…Notably, when compared to our field survey data, the optimized daily collection route in a rural context decreased from 256.40 km before optimization to 140.44 km, reflecting a substantial reduction of 45.23% in total distance. This study furnishes an effective model that relies solely on information from remote-sensing images for efficient rural waste collection and extends invaluable insights to planners and administrators in the realm of rural and township waste management.…”
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Geographic Characteristics and Meteorological Factors Dominate the Variation of Chlorophyll‐a in Lakes and Reservoirs With Higher TP Concentrations by Hanxiao Zhang, Shouliang Huo, Lian Feng, Chunzi Ma, Wenpan Li, Yong Liu, Fengchang Wu

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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…The ensemble learning algorithm combines multiple prediction models to improve the prediction accuracy and stability. …”
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Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity by Mingzhao Wang, Yu Huang, Christian L. E. Franzke, Naiming Yuan, Zuntao Fu, Niklas Boers

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Evaluating of Four Irrigation Depths on Soil Moisture and Temperature, and Seed Cotton Yield Under Film-Mulched Drip Irrigation in Northwest China by Xianghao Hou, Wenhui Hu, Quanqi Li, Junliang Fan, Fucang Zhang

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“Bias Correction Method” for Regional Correction Experiment of Warm Season Rainstorm in Zhejiang by Chengyan Mao, Xin Pan, Haowen Li, Weibiao Li, Haoya Liu

“…A frequency matching bias correction method is then applied to enhance the spatial and temporal accuracy of the objective consensus forecasting (OCF) 0.05° × 0.05° model precipitation forecast data for the region. …”
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The risk of a mosquito-borne infection in a heterogeneous environment. by David L Smith, Jonathan Dushoff, F Ellis McKenzie

“…These models predict that the human biting rate is highest shortly after the mosquito densities peak, near breeding sites where adult mosquitoes emerge, and around the edges of areas where humans are aggregated. …”
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Effects of solar radiation modification on precipitation extremes in Southeast Asia: Insights from the GeoMIP G6 experiments by Ze-Qian Feng, Mou Leong Tan, Liew Juneng, Mari R. Tye, Li-Li Xia, Fei Zhang

“…In conclusion, SRM may effectively mitigate increases in extreme precipitation events in most of Southeast Asia, but G6solar provides a more consistent reduction, while G6sulfur shows more complex spatial responses.…”
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