Mitofilin–mtDNA Axis Mediates Chronic Lead Exposure-Induced Synaptic Plasticity Impairment of Hippocampal and Cognitive Deficits by Lihong Su, Jinchao Hou, Boxuan Wang, Yuqi Li, Xiaodong Huo, Tao Wang, Yuankang Zou, Gang Zheng

“…To elucidate the role and mechanism of the Mitofilin–mtDNA axis in hippocampal synaptic plasticity and learning and memory impairment induced by lead exposure, in this study, both in vivo and in vitro models were subjected to chronic lead exposure. The results showed that the spatial learning and memory abilities of lead-exposed mice were significantly reduced. …”
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Hazard and Lag Effect of Compound Heat-Drought Events in Southeastern Coastal China under Climate Change Scenarios by An Aohua, Chen Jie, Gao Guoping

“…In particular, we used the CN05.1 high-resolution gridded daily observation dataset to compare and analyze CMIP6 model prediction data, verifying their applicability to the study area and the accuracy of the prediction results. …”
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Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…High-quality and diversified feature maps significantly improved the performance of the model. Finally, the proposed MRVN classified-regression network was used to predict depression scores. …”
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A Dual-Branch Network for Intra-Class Diversity Extraction in Panchromatic and Multispectral Classification by Zihan Huang, Pengyu Tian, Hao Zhu, Pute Guo, Xiaotong Li

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mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R by Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning

“… Spatial and spatiotemporal machine-learning models require a suitable framework for their model assessment, model selection, and hyperparameter tuning, in order to avoid error estimation bias and over-fitting. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…The key innovation of SCEME is the reduction of dimensions in both the temporal and spatial domains for efficient and information-preserving feature extraction. …”
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Detection of VLF Attenuation in the Earth‐Ionosphere Waveguide Caused by X‐Class Solar Flares Using aGlobal Lightning Location Network by T. S. Anderson, M. P. McCarthy, R. H. Holzworth

“…We describe the VLF response in the EIWG to two X‐class solar flares and compare mapped attenuation regions with those provided by the NOAA D‐Region Absorption Prediction model. The identified attenuation regions associated with these flares match the D‐Region Absorption Prediction‐predicted regions well in both spatial extent and onset timing. …”
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Research on Submarine Cable Buried Depth Monitoring Technology based on Brillouin Effect by WU Kun, WU Mingnian, CHEN Qingqing, WU Zhengming, XIE Shuhong, WANG Daogen, LI Songlin

“…After training and optimization, it outputs the predicted burial depth status.【Results】The proposed BPNN model can effectively capture the nonlinear relationship between the temperature change and the buried depth of the submarine cable, and obtain the relationship between the buried depth state of the submarine cable with the distance, so as to realize the prediction of the buried depth state of the submarine cable.…”
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Geodiversity as a Driver of Soil Microbial Community Diversity and Adaptation in a Mediterranean Landscape by Samuel Pelacani, Maria Teresa Ceccherini, Francesco Barbadori, Sandro Moretti, Simone Tommasini

“…Variable importance provided insight into the controlling factor of geomicrobial spatial distribution. The spatial distribution of the predicted Actinobacteria genera generally follows topographic constraints, mostly altitude. …”
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Multi-scale attention-enhanced deep learning approach for detecting seven trunk pests and diseases in Shanghai’s urban plane trees by Tianyang Song, Guohua Hu, Tianci Yu, Xing Meng, Yanting Zhang, Ruiqing Yang, Benyao Wang, Xia Li

“…Trained on 3,983 annotated samples from Shanghai, the model achieved a 3.8% increase in mean Average Precision at a 50% Intersection over Union threshold (mAP50) and a significant reduction in missed detections compared to the baseline YOLOv8. …”
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Detecting Sensitive Spectral Bands and Vegetation Indices for Potato Yield Using Handheld Spectroradiometer Data by Diego Gomez, Pablo Salvador, Juan Fernando Rodrigo, Jorge Gil

“…Remote sensing is a valuable tool in precision agriculture due to its spatial and temporal coverage, non-destructive method of data collection, and cost-effectiveness. …”
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Spatiotemporal evolutionary patterns and influencing factors of urban carbon emissions in China by Qifeng Meng, Chunyi Li

“…Exploring the spatial and temporal evolution of urban carbon emissions in China and revealing their influencing factors is significant for formulating differentiated carbon emission reduction strategies and further promoting urban sustainability. …”
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Research trends and prospects in global riverine carbon fluxes: A bibliometric analysis by Wei Fang, Mohd Remy Rozainy Mohd Arif Zainol, Xianbao Zha, Pingping Luo

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Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns by Zhe Wang, Xiang Que, Meifang Li, Zhuoming Liu, Xun Shi, Xiaogang Ma, Chao Fan, Yan Lin

“…The integration of data-driven and model-driven approaches in this study delivers a robust framework that combines empirical pattern detection with theoretical insight, enhancing the robustness and predictive power of ecological studies.…”
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LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring by P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu

“…This method involves initial image normalization, noise reduction, and enhancing spatial resolution to improve classification performance. …”
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Aerodynamic energy consumption analysis of divided evacuated tube transportation system by Ziwei Zhang, Yingxue Wang, Guanqing Wang, Feilong Li, Dengke Wang, Jianjun Luo

“…Theoretical discussions into reasonable parameter range including tube design and HST operation manners were conducted and then formed system-designing strategy. The spatial and temporal distribution law of tube gas circumstances were examined through model testing and numerical simulation. …”
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Spatiotemporal wind speed forecasting using conditional local convolution and multidimensional meteorology features by Meng Wang, Juanle Wang, Mingming Yu, Fei Yang

“…While recent deep learning models have improved prediction accuracy, they often assume uniform influence weight structure, limiting model effectiveness. …”
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National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images by Jie Xue, Xianglin Zhang, Songchao Chen, Zhongxing Chen, Rui Lu, Feng Liu, Bas van Wesemael, Zhou Shi

“…Additionally, a list of environmental covariates was prepared based on SCORPAN model. Finally, bootstrapping random forest models were fitted using the covariates selected through forward recursive feature selection (FRFS), and the spatial prediction SOC map was created. …”
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Empirical estimation of the eigenmodes of macroscale cortical dynamics: Reconciling neural field eigenmodes and resting-state networks by James A. Henderson, Kevin M. Aquino, P.A. Robinson

“…These neural field theories therefore predict spatial brain activity patterns that are simple, smooth eigenfunctions of the Laplacian operator that satisfy the Helmholtz equation and extend across the entire cortex. …”
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Multi-scenario Dynamic Simulation and Optimization of Urban Ventilation Environment: A Case Study of Taiyuan Metropolitan Area by Junda HUANG, Yuncai WANG

“…Then, a prediction model is constructed based on the random forest algorithm. …”
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