Numerical simulation of plant root system stress response to coal mining disturbances in semiarid mining areas by Ying LIU, Weihao PEI, Yong GUO, Xiaoyang CHEN, Shaogang LEI, Dongjiang PAN, Chuangang GONG, Huiling TAO, Hang CHEN

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Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. by Raja Das, Pham Van Tien, Karl W Wegmann, Madhumita Chakraborty

“…Additionally, the uncertainty of the models was quantified and spatially mapped. This multi-temporal analysis of landslide susceptibility is crucial for understanding the regional susceptibility trends and identifying areas with increasing, decreasing, and consistently high susceptibility to landslides. …”
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The colours of the ocean: using multispectral satellite imagery to estimate sea surface temperature and salinity on global coastal areas, the Gulf of Mexico and the UK by Solomon White, Tiago Silva, Laurent O. Amoudry, Evangelos Spyrakos, Adrien Martin, Adrien Martin, Encarni Medina-Lopez

“…A global neural network model was developed, leveraging spectral bands and metadata to predict these parameters. …”
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Aboveground biomass relationship with canopy cover and vegetation to improve carbon change monitoring in rangelands by Chiara Pasut, Jacqueline R. England, Melissa Piper, Stephen H. Roxburgh, Keryn I. Paul

“…A boosted‐regression‐tree model was trained to identify the relative importance of predictor variables. …”
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Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

“…The Kalman filter models object motion using physical constraints to predict trajectories and dynamically refine segmentation states, mitigating positional drift during occlusions or velocity changes. …”
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Time-series high spatio-temporal resolution vegetation leaf area index estimation based on NDVI trends by Chen Li, Hongmin Zhou, Jia Tang, Changjing Wang, Ziyu Wang, Jinlin Qi, Bihong Yang, Ruojing Fang

“…To overcome these challenges, a novel data assimilation approach, the ENKF-NDVI (Ensemble Kalman Filter-NDVI) model, was developed to estimate LAI data with 10-m spatial and 5-day temporal resolution. …”
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Assessing flash flood occurrences and hazard zones along the mediterranean coasts: a GIS and mapping techniques approach in the Wadi Saf Saf Basin, Northeast Algeria by Amal Maou, Amal Maou, Sabrina Souadnia, Sabrina Souadnia, Khadeijah Faqeih, Afaf AlAmri, Riheb Hadji, Riheb Hadji, Somayah moshrif Alamri, Khaled Harizi, Eman Alamery, Griche Sonia, Griche Sonia, Boubazine Leila, Boubazine Leila, Jamilah Altwaiher

“…This integrated approach highlights the spatial variability of flood vulnerability across the Saf Saf watershed and offers essential support for disaster risk reduction, structural mitigation planning, and informed land-use management in Mediterranean catchments.…”
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Investigating Catching Hotspots of Fishing Boats: A Framework Using BeiDou Big Data and Deep Learning Algorithms by Fen Wang, Xingyu Liu, Tanxue Chen, Hongxiang Feng, Qin Lin

“…Spatial analysis revealed significant policy-driven reductions in fishing intensity during the moratorium (May–August), with hotspot areas suppressed to sporadic coastal distributions. …”
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Spatiotemporal dynamics of the water footprint and virtual water trade in global cotton production and trade by Betelhem W. Demeke, Lokendra S. Rathore, Mesfin M. Mekonnen, Wenfeng Liu

“…This global study addressed these gaps by examining both the spatial and temporal variability of cotton's water footprint and assessing the unsustainable water footprint over time. …”
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Assessment of hydrological loading displacement from GNSS and GRACE data using deep learning algorithms by Changshou Wei, Maosheng Zhou, Zhixing Du, Lijing Han, Hao Gao

“…Furthermore, the development of TWLD model that integrates GRACE and GNSS data provides valuable data support for the higher-precision inversion of changes in terrestrial water storage.…”
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Data-Driven Simulation of Pedestrian Movement with Artificial Neural Network by Weili Wang, Jiayu Rong, Qinqin Fan, Jingjing Zhang, Xin Han, Beihua Cong

“…This paper presents a pedestrian movement simulation model based on the artificial neural network, in which two submodels are, respectively, used to predict velocity displacement and velocity direction angle at each time step. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…The quantitative performance results indicate that, (1) under a detailed prior information condition, PIM achieves enhanced dimensional parameter estimation accuracy with 6.9% reduction in maximum relative error; (2) in a moderate prior information condition, both models demonstrate comparable estimation performance; and (3) for a limited prior information condition, ODM exhibits superior parameter estimation capability showing 3.4% decrease in maximum relative error. …”
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ISLAND Campus: a fee-free formal university educational intervention in mid- to later-life to reduce modifiable risk factors for dementia and improve cognition by Eddy Roccati, Alex Kitsos, Aidan David Bindoff, Jane Elizabeth Alty, Jane Elizabeth Alty, Larissa Bartlett, Jessica Marie Collins, Anna Elizabeth King, Hannah Fair, Kathleen Doherty, James Clement Vickers

“…IntroductionPrevious research has tended to focus on early-life education for dementia risk reduction, yet there are great gains for building cognitive reserve in mid- to later-life through educational interventions. …”
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Bayesian integration of information in hippocampal place cells. by Tamas Madl, Stan Franklin, Ke Chen, Daniela Montaldi, Robert Trappl

“…Our results suggest that useful predictions regarding the firing fields of place cells can be made based on a single underlying principle, Bayesian cue integration, and that such predictions are possible using a remarkably small number of model parameters.…”
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Integrating UAV and Landsat data: A two-scale approach to topsoil moisture mapping in coastal wetlands by Ricardo Martínez Prentice, Miguel Villoslada, Raymond D. Ward, Kalev Sepp

“…These maps were aggregated to train and test XGBoost models using Landsat-derived predictors.While UAV data captured fine-scale SSM variability, Landsat-based predictions provided consistency at lower spatial scales (30 m of spatial resolution from Collection-2 Level-2), with RMSE values below 10 %. …”
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The characteristics and functional significance of disulfidptosis-related genes in head and neck squamous cell carcinoma by Haiqian Zhu, Chifeng Zhao, Haoran Zhu, Xuhui Xu, Conglin Hu, Zhenxing Zhang

“…The relative compositions of cells in the tumor microenvironment (TME), mutant landscape, lasso regression analysis, and predicted clinical outcome were performed by analyzing bulk RNA-sequencing data. …”
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How does high temperature weather affect tourists' nature landscape perception and emotions? A machine learning analysis of Wuyishan City, China. by Cuicui Ye, Zhengyan Chen, Zheng Ding

“…The results indicate: (1) Emotion prediction and spatial analysis reveal a significant increase in the proportion of negative emotions under high-temperature conditions, reaching 30.1%, with negative emotion hotspots concentrated in the downtown area, whereas, under non-high temperature conditions, negative emotions accounted for 14.1%, with a more uniform spatial distribution. (2) Under non-high temperature conditions, the four most influential factors on tourists' emotions were Color complexity (0.73), Visual entropy (0.71), Greenness (0.68), and Aquatic rate (0.6). …”
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Small scale, elevation- and environmental-related differences in life history strategies in a temperate resident songbird by Benjamin R. Sonnenberg, Carrie L. Branch, Angela M. Pitera, Virginia K. Heinen, Lauren E. Whitenack, Joseph F. Welklin, Vladimir V. Pravosudov

“…Overall, our results show that within-species differences in life history strategies may evolve over a small spatial scale along strong environmental gradients.…”
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A novel framework for multi-layer soil moisture estimation with high spatio-temporal resolution based on data fusion and automated machine learning by Shenglin Li, Yang Han, Caixia Li, Jinglei Wang

“…Initially, we generated seamless 30 m resolution metrics, including the normalized difference vegetation index (NDVI), land surface temperature (LST), and surface albedo, by employing the modified neighborhood similar pixel interpolator (MNSPI) in conjunction with the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM). …”
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Study of the dynamics of herbs productivity based on long-term monitoring data by D. A. Ivanov, O. V. Karaseva, M. V. Rublyuk

“…It has been determined that different groups of observation years differ in productivity and in the nature of its spatio-temporal variability, as well as in the factors that determine them and in the conditions that affect these factors. This makes, when predicting the yield of grasses of different ages, to create mathematical models of its dependence on landscape conditions for different time clusters.…”
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