A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes by J. Li, A. Geiss, Z. Feng, L. R. Leung, Y. Qian, W. Cui, W. Cui

“…On average, 12–15 derechos are identified per year, aligning with previous estimations (<span class="inline-formula">∼6</span>–21 events annually). The spatial distribution and seasonal variation patterns are consistent with prior studies, showing peak occurrences in the Great Plains and the Midwest during the warm season. …”
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GINSER: Geographic Information System Based Optimal Route Recommendation via Optimized Faster R-CNN by S. D. Anitha Selvasofia, B. SivaSankari, R. Dinesh, N. Muthukumaran

“…A CNN-BiGRU model is utilized to classify traffic congestion levels into low, moderate, high, and congestion-free categories. GIS analyzes spatial data and traffic patterns to recommend the most efficient and congestion-free routes. …”
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Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network by Ruipu Zhao, Lili Zeng, Chendong Fu, Xiaoqing Zhao

“…IntroductionSedimentary micro-scale facies research is essential for characterizing the lateral and vertical evolutionary patterns and contact relationships within sedimentary facies. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…These conventional methods not only struggle to detect unknown attack patterns but are also hindered by the issue of imbalanced datasets, where minority attack classes are underrepresented and frequently overlooked. …”
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Atmospheric Deposition of Phosphorus to the Everglades: Concepts, Constraints, and Published Deposition Rates for Ecosystem Management by Garth W. Redfield

“…Land-use patterns can alter P deposition rates by changing particle concentrations in the atmosphere. …”
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InSAR deformation observation and regional severe earthquake hazard analysis of the 2016 and 2022 strong earthquake activities in Menyuan, Qinghai by CHENG Yan, JIANG Yanan, HOU Zhongjian, ZENG Rui, LUO Huiyuan

“…Conclusion  The two earthquakes also differed in their slip patterns and shallow and deep structural styles. In 2016, the seismic activity was weak, with a slip zone existing at depths between 8 km and 12 km, where the maximum slip was only 0.23 m. …”
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Probabilistic Restoration Modeling of Wide-Area Power Outage by Nicholas Willems, Bandana Kar, Samuel Levinson, Benjamin Turner, John Brewer, Marija Prica

“…., customers impacted), storm characteristics, land-use patterns, and baseline customer density at county-service-area resolution. …”
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An interpretable coupled model (SWAT-STFT) for multispatial-multistep evapotranspiration prediction in the river basin by Zhonghui Guo, Chang Feng, Liu Yang, Qing Liu

“…Temporal attention interpretation showed bimodal patterns with attention peaks at t-24 and t-7 month time-steps (normalized attention weights of 0.83 and 0.48, respectively), reflecting the model's sensitivity to both long-term climate trends and seasonal transitions. …”
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Calibration-free picosecond LIPS for quantifying heavy metals in soils near Egyptian industrial sites by Mohamed El-Saeed, Walid Tawfik, Ahmed A. I. Khalil, Manal Mubarak, Mohamed Fikry

“…By integrating plasma diagnostics (electron density Ne = 1.2–1.5 × 1017 cm− 3 and temperature Te = 8508–10,275 K), we establish CF-Ps-LIPS as a rapid, minimally invasive tool for on-site environmental monitoring, validated through spatial contamination gradients linked to wind patterns. …”
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Spatiotemporal Change Analysis and Multi-Scenario Modeling of Ecosystem Service Values: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration, China by Jing Duan, Pu Shi, Yuanyuan Yang, Dongyan Wang

“…This research can serve as a guide in creating sustainable BTH development policies and offer fresh perspectives for investigating how land use patterns affect the ecological environment’s regional quality under various policy trajectories.…”
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Climate change impacts to foraging seascapes for a highly migratory top predator by Barbara Muhling, Stephanie Snyder, Elliott L. Hazen, Rebecca Whitlock, Jong-Yeon Park, Charles A. Stock, Barbara A. Block

“…Statistical species distribution models are commonly used to explain past patterns and anticipate future shifts. However, purely correlative models can fail under novel environmental conditions, or omit key mechanistic processes driving species habitat use. …”
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Storm Surges and Sea Level Rise Cluster Hydrological Variables Across a Coastal Forest Bordering a Salt Marsh by Giovanna Nordio, Keryn Gedan, Sergio Fagherazzi

“…Linear discriminant analysis (LDA) was used to identify the primary hydrological variables responsible for the forest‐marsh gradient and their seasonal patterns. Water content (WC) in the soil (WC) and groundwater electrical conductivity (EC) were found to be the main variables responsible for the hydrological differences among the sites. …”
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Monitoring active fires in Borneo from Sentinel-2 MSI images by Xiaoxiao Guo, Yongxue Liu, Peng Liu, Huize Wang, Wei Wu

“…A detailed, spatially explicit fire inventory is essential for improving our understanding of biomass burning and for supporting the formulation of targeted fire mitigation policies. …”
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A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

“…Our methodology consists of three steps: (1) Use TRIGRS to compute rainfall-induced safety factors (FS) and identify unstable zones (FS < 1), which serve as the positive-sample database for MaxEnt; (2) Employ the MaxEnt model—using the TRIGRS-derived positive samples and historical debris-flow factors—to predict the spatial distribution of susceptibility; (3) Integrate both outputs spatially in GIS using dynamic weighting. …”
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Monitoring water crisis from space across a Mediterranean region by Wassim Mohamed Baba, Abdelghani Chehbouni, Youness Ouassanouan, Simon Gascoin, Marc Paganini, Giuseppe Ottavianelli, Zoltan Szantoi

“…This study utilizes satellite-based radar data to evaluate the spatial extent and status of Moroccan dams from 2018 to 2024. …”
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Ubiquitin specific peptidase 11 knockdown slows Huntington’s disease progression via regulating mitochondrial dysfunction and neuronal damage depending on PTEN-mediated AKT pathway... by Bai Gao, Yuchen Jing, Xi Li, Shuyan Cong

“…The protein expression patterns in Q74 cells were quantified by label-free proteomics to further explore the target protein of USP11. …”
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CABAD: A video dataset for benchmarking child aggression recognition by Shehzad Ali, Md Tanvir Islam, Ik Hyun Lee, Mohammad Hijji, Khan Muhammad

“…Leveraging CABAD, we propose CABA_Net, a multi-stage deep-learning framework integrating MobileViT for spatial feature extraction, Temporal Convolutional Networks (TCN) for sequential modeling, and an Attention LSTM for refined temporal attention on behavioral patterns. …”
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Divergent Responses of Grassland Productivity to Large-Scale Atmospheric Circulations Across Ecoregions on the Mongolian Plateau by Cuicui Jiao, Xiaobo Yi, Ji Luo, Ying Wang, Yuanjie Deng, Xiao Guo

“…In this study, we analyzed the spatial and temporal variations of ANPP and their response to local meteorological and large-scale climatic variabilities across the MPG from 1982 to 2015. …”
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Study on Dust Distribution Law in Open-Pit Coal Mines Based on Depth Variation by Dongmei Tian, Xiyao Wu, Jian Yao, Weiyu Qu, Jimao Shi, Kaishuo Yang, Jiayun Wang

“…This research elucidates the progressive constraining influence of mining depth, a critical control parameter, on dust migration patterns. It establishes a depth-oriented theoretical framework for dust prevention and control strategies in deep open-pit mines.…”
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Comprehensive Analysis of Multi-Omics Data on RNA Polymerase as an Adverse Factor in Head and Neck Squamous Cell Carcinoma by Gu YJ, Zhang J, Liu YJ, Zhang Q, Geng QF

“…Focusing on head and neck squamous cell carcinoma (HNSC), we integrated bulk RNA sequencing, single-cell, and spatial transcriptome data to identify POLR2C expression patterns and its potential regulation by Yin Yang 1 (YY1). …”
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