Spatiotemporal dynamics of future hydrology in the Pearl River Basin: Controls of climate change and land surface by Ying Zhang, Jianping Gan

“…Driven by an optimized subset of General Circulation Models through a comprehensive framework of multi-level calibrations, we employed a well-validated Soil and Water Assessment Tool to predict streamflow and investigate the underlying dynamics in the basin. …”
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Contemporaneous formation of self-secondaries and layered ejecta deposits on Mars by Fanglu Luo, Zhiyong Xiao, Rui Xu, Yizhen Ma, Yiren Chang, Wei Cao, Yichen Wang, Jun Cui

“…Recognized self-secondaries primarily occur on rim deposits and are largely absent on layered ejecta deposits, suggesting that the emplacement of self-secondaries and layered ejecta deposits occurred in a narrow time window. Comparison with model-predicted distributions of self-secondaries suggests that fragments forming self-secondaries did not uniformly have near-vertical ejection angles and may have slightly larger angles than those of normal excavation flows, explaining their common occurrence on airless planetary bodies. …”
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The effect of nutrient transport downstream on food web stability in an experimental freshwater meta-ecosystem by Xueqi Wang, Megan Braun, Ella McGuigan, Kevin S. McCann, Robert H. Hanner, John M. Fryxell

“…Recent spatial nutrient transport theory suggests that accumulation of nutrients downstream in riverine systems can amplify the magnitude of phytoplankton and zooplankton blooms and/or lead to competitive replacement of phytoplankton by less edible species, such as cyanobacteria. …”
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Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China by Si Chen, Zhanwu Lu, Haiyan Wang, Qingyu Wu, Wei Cai, Guowei Wu, Guangwen Wang

“…Employing a binary stratigraphic model, the study predicted shale content based on the velocity structure, with predictions exhibiting a moderate correlation (correlation coefficient of 0.58) with empirical data. …”
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Research on the Evaluation of the Node Cities of China Railway Express Based on Machine Learning by Chenglin Ma, Mengwei Zhou, Wenchao Kang, Haolong Wang, Jiajia Feng

“…The Random Forest model outperformed comparative algorithms with 99.5% prediction accuracy (8.33% higher than conventional classification models), particularly in handling multi-dimensional interactions between urban development factors. …”
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Development of a Digital Hologram Map Using Bathymetric Data by Jumamurod Farhod Ugli Aralov, Oybek Mirzaevich Narzulloev, Leehwan Hwang, Philippe Gentet, Seunghyun Lee

“…Most traditional bathymetric mapping techniques rely on two-dimensional representations, which require users to mentally infer depth and spatial relationships. This cognitive burden can lead to misinterpretation, particularly when analyzing complex seafloor structures with subtle variations. …”
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Pan-cancer analysis uncovered the prognostic and therapeutic value of disulfidptosis by Yiwei Zhang, Zihua Li, Hengli Lu, Zongrui Jiang, Yixian Song, Zhanhui Ye, Chenzheng Gu, Kequan Chen, Anquan Shang

“…The nomogram based on the DRGs Score model could accurately predict the prognosis of patients with pan-cancer. …”
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The effect of slab touchdown on anticrack arrest in propagation saw tests by P. L. Rosendahl, J. Schneider, G. Bobillier, F. Rheinschmidt, B. Bergfeld, A. van Herwijnen, P. Weißgraeber

“…The analysis is provided in a comprehensive open-source model (<span class="uri">https://github.com/2phi/weac</span>, last access: 11 June 2025).…”
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Effects of Monsoon Circulation on Bedload Transport in the Qiongzhou Strait and Adjacent Seas Based on SCHISM by Yuxin Huang, Xiangbai Wu, Huan Mei, Shouxian Zhu, Changliang Tong, Xinyi La

“…This study quantitatively investigates monsoon-driven bedload sediment transport mechanisms in the Qiongzhou Strait using the SCHISM model, revealing three key findings: (1) Monsoon seasonality governs net sediment flux through contrasting hydrodynamic regimes, with the winter monsoon establishing spatially coherent westward transport pathways, while the summer monsoon induces counteracting flow patterns that suppress net transport. (2) Winter conditions exhibit opposing transport vectors between tidal and monsoon forcing at both strait entrances, with monsoon dominance at the western entrance contrasting tidal predominance in the eastern sector. (3) Summer monsoon–tide hydrodynamic decoupling results in transport magnitudes ≤ 10% of tidal-driven quantities across critical cross-sections. …”
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Measured spectrum environment map dataset with multi-radiation sources in urban scenariosMendeley Data by Haotian Zou, Qiuming Zhu, Qianhao Gao, Jie Wang, Zhipeng Lin, Yang Huang, Qihui Wu, Weizhi Zhong

“…Its applications include the verification of spectrum map completion algorithms, wireless channel modelling, deep learning-driven signal prediction, and the optimization of Wi-Fi/cellular networks.…”
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Condition monitoring of heterogeneous landslide deformation in spatio-temporal domain using advanced graph attention network by Huajin Li, Yu Zhu, Qiang Xu, Ran Tang, Chuanhao Pu, Yusen He

“…Field observations reveal that deformation processes are typically uneven and heterogeneously distributed across slope bodies, creating dynamic uncertainties that challenge prediction models. This research aims to develop an enhanced spatial-temporal monitoring system capable of capturing these complex deformation patterns. …”
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Weapon detection with FMR-CNN and YOLOv8 for enhanced crime prevention and security by Shanthi P, Manjula V

“…Such a combination enables the concurrent utilization of high-resolution spatial context information and rapid frame-wise predictions, thus making it well-suited for continuous video surveillance tasks. …”
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International trade market forecasting and decision-making system: multimodal data fusion under meta-learning by Yiming Bai, Muhammad Asif

“…For image data, the convolutional block attention module (CBAM) is incorporated to capture both channel-wise and spatial attention, thereby improving the model’s ability to focus on market-relevant information. …”
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Dual Focus-3D: A Hybrid Deep Learning Approach for Robust 3D Gaze Estimation by Abderrahmen Bendimered, Rabah Iguernaissi, Mohamad Motasem Nawaf, Rim Cherif, Séverine Dubuisson, Djamal Merad

“…This fusion enhances the model’s prediction accuracy and robustness, particularly in challenging natural environments. …”
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Dynamic Steerable Patterning of Microscale Particles and Living Cells Using an Ultrasound‐Phased Array by Rick J. P. van Bergen, Bart G. W. Groenen, Daniëlle C. A. Duffhues, Richard G. P. Lopata, Carlijn V. C. Bouten, Hans‐Martin Schwab

“…The data are used to validate a numerical model designed to predict acoustic forces and particle displacement in current and future experiments. …”
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Energy efficiency and system complexity analysis of CNN based hybrid precoding for cell-free massive MIMO under terahertz communication by Tadele A. Abose, Yitbarek A. Mekonen, Binyam G. Assefa, Naol W. Gudeta

“…The CNN-based model not only mitigates pilot contamination (PC) but also enhances channel estimation by capturing temporal and spatial dynamics. …”
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<i>Foeniculum vulgare</i> Mill. Mitigates Scopolamine-Induced Cognitive Deficits via Antioxidant and Neuroprotective Mechanisms in Zebrafish by Ion Brinza, Razvan Stefan Boiangiu, Elena Todirascu-Ciornea, Lucian Hritcu, Gabriela Dumitru

“…This study aimed to investigate the effects of <i>F. vulgare</i> essential oil (FVEO; 25, 150, and 300 μL/L) on the cognitive performance and brain oxidative stress in a scopolamine (SCOP; 100 μM)-induced zebrafish model of cognitive impairment. Additionally, the pharmacokinetic properties and bioactivity profiles of the main FVEO constituents were predicted to be used in silico tools, including SwissADME, pkCSM, PASS online, and ADMETlab 2.0. …”
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Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques by Arati Reddy Nilap, H. N. Rajakumara, Ali Aldrees, Hasan Sh. Majdi, Wahaj Ahmad Khan

“…The model satisfactorily predicted runoff from the simulated data analysis with evaluation criteria NSE = 0.9945, MAE = 5.4121, r = 0.9975, R2 = 0.9949, RMSE = 6.8117 and PBias = 1.1436. …”
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A renewable double plasma mirror for Petawatt-class lasers by Nick Czapla, Derek M. Nasir, Lieselotte Obst-Huebl, Anthony Zingale, Jianhui Bin, Anthony J. Gonsalves, Sven Steinke, Kei Nakamura, Carl B. Schroeder, Eric Esarey, Cameron G. R. Geddes, Douglass W. Schumacher

“…We present the first measurements of a beam reflected from a single or double plasma mirror system using a wavefront sensor, showing a well preserved wavefront and spatial mode. Finally, we introduce a model that predicts the total throughput through this double plasma mirror. …”
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Co‐Occurring Extremes of Fine Particulate Matter (PM2.5) and Ground‐Level Ozone in the Summer of Southern China by Yan Lyu, Haonan Wu, Xiaoran Liu, Fuliang Han, Fengmao Lv, Xiaobing Pang, Jianmin Chen

“…Through combining multi‐source data, Random Forest model well predicts PM2.5‐ozone co‐occurrence and identifies common precursors (e.g., volatile organic compounds) as important variables. …”
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