Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Recently, artificial intelligence methods have also been applied to capillary pressure prediction (Qi et al., 2024).Currently, no readily applicable predictive model exists for estimating an entire capillary pressure curve directly from standard petrophysical logs and core data. …”
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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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Species and Phylogenetic Diversity of Woody Plants Shift With the Elevational Gradient in Subtropical Forests in South China by Jing Li, Yinghua Luo, Feng Chen, Cong Hu, Chaohao Xu, Zhonghua Zhang, Gang Hu

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Optimal control prevents itself from eradicating stochastic disease epidemics. by Rachel Russell, Nik J Cunniffe

“…Our illustration uses examples based on simulation of the spatial spread of plant disease but similar issues would be expected in any deterministic model where infection is driven close to zero.…”
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Energy-Efficient Distributed Compressed Sensing Data Aggregation for Cluster-Based Underwater Acoustic Sensor Networks by Deqing Wang, Ru Xu, Xiaoyi Hu, Wei Su

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The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea by Chun Yang, Bingying Shi, Jinzhong Min

“…Effective comprehensive application of satellite products will inevitably improve numerical weather prediction. FengYun-4 (FY-4) series satellites can provide not only radiance data but also retrieval data with high temporal and spatial resolutions. …”
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Multi-Phase Trajectory Planning for Wind Energy Harvesting in Air-Launched UAV Swarm Rendezvous and Formation Flight by Xiangsheng Wang, Tielin Ma, Ligang Zhang, Nanxuan Qiao, Pu Xue, Jingcheng Fu

“…The trajectory planning method is formalized as an optimal control problem (OCP) that ensures spatial–temporal coordination, inter-vehicle collision avoidance, and incorporates a 3-degree of freedom kinematic model of UAVs, extending wind energy harvesting trajectory optimization from an individual UAV to swarm-level applications. …”
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Key design considerations for flood risk pooling facilities at the sub-national level by Kamleshan Pillay

“…The operation of an SNFRP may result in greater spatial correlation. This may affect the financial stability of SNFRPs or diminish the risk diversification benefits over time. …”
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Support Vector Machine based Differential Pulse-width Pair Brillouin Optical Time Domain Analyzer by Huan Wu, Liang Wang, Zhiyong Zhao, Chester Shu, Chao Lu

“…Support vector machine (SVM) based differential pulse-width pair Brillouin optical time domain analyzer (DPP-BOTDA) has been proposed and experimentally demonstrated. With only one SVM model, temperature distribution along 5 km fiber under test has been successfully extracted from differential Brillouin gain spectrum (BGS) measured under different spatial resolution in DPP-BOTDA. …”
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Impact of Saharan Dust Intrusions on Atmospheric Boundary Layer Height over Madrid by Francisco Molero, Pedro Salvador, Manuel Pujadas

“…Precise and complete characterization of the mixing layer is of crucial importance for numerical weather forecasting and climate models, but traditional methods such as radiosounding present some spatial and temporal limitations. …”
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Analytic Solutions for the Stationary Seismic Response of Three-Dimensional Structures with a Tuned Mass-Inerter Damper and Bracket by Lin Deng, Cong Yao, Xinguang Ge

“…Finally, four numerical examples are presented to investigate the following: (1) verification of the proposed response solutions, showing that the calculation time of the proposed method is approximately 1/500 of that of the traditional method; (2) examination of spatial effects in 3D structures under unidirectional excitation, revealing that structural seismic responses in the direction along the earthquake ground motion is approximately 10⁴ times that in the direction perpendicular to the ground motion; (3) investigation of the spatial dynamic characteristics of a 3D structure subjected to unidirectional seismic excitation, showing that the bracket parameters significantly affect the damping effects on an EDS; and (4) application of the optimization method for the damper’s parameters that considers system dynamic reliability and different weights of the damper’s parameters as constraints, indicating that the most economical damping parameters can achieve a reduction in displacement spectral moments by 30–50%. …”
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Influence of Side-Polished Fiber Surface Topography on Surface Plasmon Resonance Wavelengths and the Full Width at Half-Maximum by Zhiyong Bai, Mingquan Li, Jing Zhao, Shaoqing Cao, Ying Wang, Changrui Liao, Yiping Wang

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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Xueyan Ji, Shamsulariffin Bin Samsudin, Muhammad Zarif Bin Hassan, Noor Hamzani Farizan, Yubin Yuan, Wang Chen

“…With the rapid development of artificial intelligence and deep learning technology, a new opportunity is provided for physical education innovation. This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
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Toward skillful forecasting of super El Niño events using a diffusion-based westerly wind burst parameterization by Chaopeng Ji, Mu Mu, Bo Qin, Tao Lian, Shijin Yuan, Jie Feng, Xunshu Song, Yuntao Wei, Guokun Dai, Jinyu Wang, Xianghui Fang

“…The DDPM-based scheme effectively captures observed WWBs’ characteristics (e.g., frequency, intensity, and spatial center). When implemented in the Community Earth System Model, it outperforms both the control (CTRL, without WWBs parameterization) and conventional warm pool eastern edge (WPEE)-dependent parameterization in predicting intensity and seasonal phase-locking for super El Niños (1982/83, 1997/98, 2015/16). …”
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Improved decomposition of cloud feedback and corresponding pattern change under uniform surface ocean warming: I. Anomalous mean method by Jing Feng, Jian Ma

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A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

“…The model is trained here, using data from ten stations in Texas, enabling it to capture both spatial and temporal patterns in atmospheric behavior. …”
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Interface Thermal Conductance of Nonequilibrium Thermal Transport across Nanoscale Metal Multilayers by Donghao Li, Zhongyin Zhang, Ziyang Wang, Gen Li, Jing Zhou, Jie Zhu, Dawei Tang

“…These experiment results revealed that nonequilibrium ITC at the Au/Cr interface closely matched the predicted value of 6 GW m−2 K−1 by the electronic diffuse mismatch model, which captures ultrafast thermal behavior within the first few picoseconds following femtosecond laser heating. …”
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Climate‐Associated Genetic Variation and Projected Genetic Offsets for Cryptomeria japonica D. Don Under Future Climate Scenarios by Kentaro Uchiyama, Tokuko Ujino‐Ihara, Katsuhiro Nakao, Jumpei Toriyama, Shoji Hashimoto, Yoshihiko Tsumura

“…ABSTRACT Revealing the spatial distribution of adaptive genetic variation is both a challenging and crucial task in evolutionary ecology, essential for understanding local adaptation within species, and in management, for predicting species responses to future climate change. …”
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Factors influencing agroforestry practices adoption in the central river Region of The Gambia by Kennedy Muthee, Priscilla Wainaina, Lalisa Duguma, Christine Majale, Monica Mucheru-Muna, Jane Mutune, Divine Foundjem-Tita, Alagie Bah, Peter Minang

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Fractal approach to geological and economic assessment of germanium-bearing lignites by O. I. Bilous, M. S. Burlutskyy

“…Furthermore, a combination of spatial, geostatistical and fractal analyses could form the basis for creating predictive models that could be applied to other lignite basins in Ukraine.…”
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