The role of transaction costs for the optimal supply of carbon sequestration from cover crops in Denmark by Luiza M. Karpavicius, Katarina Elofsson, Gregor Levin, Arezoo Taghizadeh-Toosi

“…The purpose of this study is to investigate how transaction costs affect the cost-effective supply of carbon sequestration from cover crops in Denmark. We develop a model of the optimal adoption of cover crops, accounting for farm spatial heterogeneity and potentially nonlinear transaction costs to adoption. …”
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Dynamic Amplification of Subtropical Extreme Precipitation in a Warming Climate by Jesse Norris, Gang Chen, Chao Li

“…Abstract Projected precipitation changes in a warming climate vary considerably, spatially, and between intensities. The changes can be greater or less than the ∼7% K−1 Clausius‐Clapeyron (CC) prediction, owing to dynamic effects. …”
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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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Study on Lightweight Bridge Crack Detection Algorithm Based on YOLO11 by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

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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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Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approach... by Tathagat Banerjee, Prachi Chhabra, Manoj Kumar, Abhay Kumar, Kumar Abhishek, Mohd. Asif Shah

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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

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SIMULATION OF VINPOCETINE RELEASE PROCESS FROM MICROCAPSULES WITH HYDROPHOBIC SHELL by Yu. A. Polkovnikova, A. A. Glushko, I. Yu. Mikhailovskaya, Yo. S. Karieva

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Present-day changes of mountain glaciers on the southern slope of the Dzhungarian Alatau range by A. L. Kokarev, I. N. Shesterova

“…Glacierization of southern slope of the Dzhungarian (Zhetysu) Alatau range was estimated by means of data obtained by operational satellite Landsat 7 surveys on August 19 and September 2011 (sensors ETM+) with the use of digital relief models (ASTER GDEM). Analysis of these materials by means of computer programs ENVI, ERDAS Imagine, MapInfo, and ArcGIS made it possible to obtain a spatial information of glacier systems of the territory under investigation and to define morphological characteristics of glaciers, present-day moraine complexes, glacier lakes as well as other elements of glacial monitoring at the survey moments. …”
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Urban-rural inequality in soil heavy metal health risks: Insights from Baoding, China by Lingzhi Luo, Liang Wang, You Li, Hongying Cao, Yanling Guo, Xiaoyong Liao

“…We used random forest models to predict high-resolution soil metal concentration maps, Positive Matrix Factorization for source apportionment, and spatial exposure models to estimate human health risks under multiple exposure pathways. …”
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Metaverse and Digital Twins in the Age of AI and Extended Reality by Ming Tang, Mikhail Nikolaenko, Ahmad Alrefai, Aayush Kumar

“…As digital environments mature, architects are uniquely positioned to shape these dual-purpose ecosystems, leveraging AI, XR, and spatial computing to fuse data-driven models with immersive and user-centered experiences.…”
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A method for mapping hunting occurrence using publicly available, geographic variables by Conner R. Burke, M. Nils Peterson, David T. Sawyer, Christopher E. Moorman, Christopher Serenari, Krishna Pacifici

“…We describe one approach to address this challenge using spatially explicit logistic regression models that accurately predict whether each parcel of land in North Carolina, USA, was hunted using free and publicly available geographic predictors. …”
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Health classification of pumps using transformer-based deep learning by Arunachalam Shivaa T V, Jayaprasanth Devakumar, Arunshankar Jayabalan

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Boosting Cognitive Focus via Attention Types Detection using Brain-Computer Interfaces: A Pilot Study by Mihai-Robert BEU, Tudor DURDUMAN-BURTESCU, David GHEORGHICĂ ISTRATE

“…Results demonstrated a 57% concentration increase in AR versus VR (where participants performed identical tasks in a non-adaptive virtual environment) with personality-tailored models boosting classification accuracy by 10%. High-performing classifiers (e.g., Deep Neural Networks, XGBoost) achieved 87% accuracy, underscoring BCIs’ potential for personalized cognitive interventions in education and therapy. …”
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Spatio-Temporal Coupling and Forecasting of Construction Industry High-Quality Development and Human Settlements Environmental Suitability in Southern China: Evidence from 15 Provi... by Keliang Chen, Bo Chen, Wanqing Chen

“…Using panel data for 15 southern provinces (2013–2022), we applied the entropy method, coupling coordination model, Dagum Gini coefficient, spatial trend surface analysis, gravity model, and grey forecasting to evaluate current conditions and predict future trends. …”
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Optimal Graph Information Fused Graph Attention Network for Traffic Flow Forecasting by Xing Xu, Luchen Fei, Yun Zhao, Xiaoshu Lü

“…Traffic flow forecasting has complex spatial correlation and time dependence. Most current research models are based on a predefined graph structure with a priori knowledge for prediction, which cannot well extract the hidden spatial relationships in traffic data. …”
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Uncovering the importance of soil type, landscape connectivity, and pedodiversity for nature’s contributions to people in a typical agricultural region by Guangyi Deng, Haibo Jiang, Yang Wen, Chunguang He, Lianxi Sheng, Dehai Gu, Shuai Ma

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Mapping the invasive Spartina alterniflora in sub-meter level with improved phenological spectral features and deep learning method by Bingfeng Zhou, Meng Xu, Jinyan Tian, Yue Huang, Jie Song, Lin Zhu, Xiumin Zhu, Xinyuan Qu, Liyan Zhang, Xiaojuan Li, Huili Gong

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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

“…The predictive framework leverages Google Earth Engine (GEE) and AutoML, utilizing deep learning libraries to create dynamic, adaptive models that enhance prediction accuracy. …”
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Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China by Jiarui Qin, Yizhe Feng, Yehua Sheng, Yi Huang, Fengyuan Zhang, Kaixuan Zhang

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