Spatiotemporal Variability in Wind Turbine Blade Leading Edge Erosion by Sara C. Pryor, Jacob J. Coburn, Rebecca J. Barthelmie

“…To address this research gap, blade coating lifetimes at 883 sites across the USA are generated based on high-frequency (5-min) estimates of material fatigue derived using a mechanistic model and robust meteorological measurements. Results indicate blade coating failure at some sites in as few as 4 years, and that the frequency and intensity of material stresses are both highly episodic and spatially varying. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…CBAM adjusts the importance of each channel and spatial location in the feature maps through operations like global average pooling, maxpooling, and small fully connected neural networks in both channel and spatial attention dimensions. …”
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Deep Time Series Intelligent Framework for Power Data Asset Evaluation by Lihong Ge, Xin Li, Li Wang, Jian Wei, Bo Huang

“…In the evaluation of the complex and rich Solar-Power dataset and Electricity dataset, TSENet achieved significant performance improvements over other state-of-the-art baseline methods.Through the synergistic design of deep convolutional structures and an efficient memory mechanism, it effectively addresses issues such as inadequate modeling of long-term dependencies, insufficient extraction of short-term features, and high prediction volatility, thereby significantly enhancing both the accuracy and robustness of forecasting in power asset evaluation tasks.…”
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Wildlife students as community scientists provide statewide detection data to help non‐invasively monitor Oklahoma bobcats by Nathan J. Proudman, Michelle L. Haynie, Victoria L. Jackson, Jerrod Davis, W. Sue Fairbanks

“…Abstract Community science projects are ideal for collecting species data at large spatial scales and can connect the public with the management and conservation of native wildlife. …”
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On the propeller wake evolution using large eddy simulations and physics-informed space-time decomposition by Zhan Zhang, Peng Sun, Long Pan, Teng Zhao

“…A novel modal analysis methodology, denoted as the physics informed sparsity-promoting dynamic mode decomposition (pi-SPDMD) model, was introduced for the reduction and reconstruction analysis of intricate propeller wake flows, aiming to provide insight into the inherent flow structures spanning diverse temporal and spatial scales. …”
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Link Scheduling in Satellite Networks via Machine Learning Over Riemannian Manifolds by Joarder Jafor Sadique, Imtiaz Nasim, Ahmed S. Ibrahim

“…Furthermore, we introduce a separate model, the convolutional neural network (CNN) over Riemannian manifolds, which captures geometric relationships between satellites and users by extracting spatial features from the network topology across all links. …”
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Mapping Tropical Forested Wetlands Biomass with LiDAR: A Machine Learning Comparison by Jonathan V. Solórzano, Candelario Peralta-Carreta, J. Alberto Gallardo-Cruz

“…The model’s robustness and uncertainty were evaluated through bootstrapping and spatial prediction across the study area, with higher AGB values concentrated near the main water channels. …”
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Multimodal Fusion Multi-Task Learning Network Based on Federated Averaging for SDB Severity Diagnosis by Songlu Lin, Renzheng Tang, Yuzhe Wang, Zhihong Wang

“…The proposed framework is built upon a hybrid deep neural architecture that integrates convolutional layers (CNN) for spatial representation, bidirectional GRUs for temporal modeling, and multi-head self-attention for long-range dependency learning. …”
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Optimizing Fertilizer Use in Precision Agriculture with GIS and Remote Sensing by Fallah Mohammed Hussein, Ramadan Ghazi Mohamad, Venkatcharyulu S.

“…In the processing stage, spatial analysis is done to discover nutrient and crop health variations which lead to a fertilizer optimization model that allocates specific rates of fertilizer application. …”
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Quantifying Karenia brevis bloom severity and respiratory irritation impact along the shoreline of Southwest Florida. by Richard P Stumpf, Yizhen Li, Barbara Kirkpatrick, R Wayne Litaker, Katherine A Hubbard, Robert D Currier, Katherine Kohler Harrison, Michelle C Tomlinson

“…Both BSI and RI consider spatial extent and temporal evolution of the bloom, and can be updated routinely and used as objective criteria to aid future socioeconomic and scientific studies of K. brevis. …”
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Novel post-translational modification learning signature reveals B4GALT2 as an immune exclusion regulator in lung adenocarcinoma by Ge Zhang, Zhenfa Zhang, Lianmin Zhang, Guangyao Zhou, Pengpeng Zhang, Dingli Wang, Shuai Jiang

“…The system’s predictive value was validated across diverse malignancy categories for immunotherapeutic response assessment. …”
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A stochastic optimization method for economic microgrid operation based on "source-load operation" mode classification by ZHOU Hang, MA Lihong, LI Zhongzhong, WANG Haisheng, LI Sifan, ZHANG Changjun, FU Linbei

“…Second， a source-load probabilistic forecasting model for the target day is established using similar-day data under the same operation mode， and typical source-load forecasting scenarios are obtained through scenario generation and reduction. …”
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Dental bur detection system based on asymmetric double convolution and adaptive feature fusion by HongLing Hou, Ao Yang, Xiangyao Li, Kangkai Zhu, Yandi Zhao, Zhiqiang Wu

“…YOLO-DB yielded a Mean Average Precision (mAP@0.5) of 99.3% on the dental bur dataset, with a notable 3.2% increase in mAP@0.5:0.95 and a sustained detection pace of 128 frames per second. The model also achieved a 14.4% reduction in parameter volume and a 17.9% decrease in computational expenditure, while achieving a flawless counting accuracy of 100%. …”
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Collaborative Scheduling of Yard Cranes, External Trucks, and Rail-Mounted Gantry Cranes for Sea–Rail Intermodal Containers Under Port–Railway Separation Mode by Xuhui Yu, Cong He

“…The spatial separation of port yards and railway hubs, which relies on external truck drayage as a necessary link, hampers the seamless transshipment of sea–rail intermodal containers between ports and railway hubs. …”
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Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

“…Experiments show a 12% mAP@0.5 improvement and 17% reduction in parameters on a self-built mining crack dataset, with further validation on VisDrone2019 (mAP@0.5: 0.422, + 11.6%), Validating its effectiveness for UAV-based small-object detection, the model offers an efficient, reliable solution for geological hazard warning and mining safety.…”
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Chromosomes and speciation in tuco-tuco (Ctenomys, Hystricognathi, Rodentia) by A. A. Torgasheva, E. A. Basheva, M. J. Gomez Fernandez, P. Mirol, P. M. Borodin

“…These changes can modulate the flow of genes between chromosomal races and amplify the divergence which has arisen due to spatial isolation. These data confirm the recombinational model of chromosomal speciation.…”
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Evolution Mechanism of Advanced Equipment Manufacturing Innovation Network Structure from the Perspective of Complex System by Jianbo Wang, Xing Cao

“…The reduction in spur helps to increase economic output.…”
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Spatiotemporal simulation of sustainable development based on ecosystem services under climate change. by Bao Zhou, Guoping Chen, Junsan Zhao, Ying Yin

“…The results indicate that: (1) Under all three scenarios in 2035, the trend of LUCs in the karst area of southeastern Yunnan is highly consistent, though the intensity and spatial configuration vary significantly. The least reduction in arable land area occurs under the shared socioeconomic pathways (SSP) 126 scenario, while water bodies and construction land show varying degrees of increase; (2) Regarding ESs, both water yield and soil retention exhibit an increasing trend across all scenarios by 2035, with the most notable rise under SSP126. …”
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Simulating CO2 dynamics in Brackish Lake Obuchi, Japan: Low pCO2 maintenance through diverse nutrient inputs by Kazuhiro Misumi, Takaki Tsubono, Daisuke Tsumune, Takeshi Yoshimura, Shinji Ueda

“…The pCO2 variability is dominated by spatially uniform seasonal patterns (90% of variance) driven by temperature changes, while summer periods exhibit distinct spatial patterns (6.0% of variance) that vary with river discharge magnitude. …”
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Resource-Oriented Treatment Technologies for Rural Domestic Sewage in China Amidst Population Shrinkage: A Case Study of Heyang County in Guanzhong Region, Shaanxi Province by Mei Huang, Degang Duan, Sicheng Tan, Ling Huang

“…This facilitates the transition from gray-infrastructure-dependent models to holistic pollution control systems with resource recovery capabilities. …”
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