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  1. 4761
  2. 4762

    Lyman line opacities in tokamak divertor plasmas under high-recycling and detached conditions by Ray Chandra, Detlev Reiter, Niels Horsten, Mathias Groth

    Published 2024-12-01
    “…Radiation transport simulations of the deuterium Lyman line series using EIRENE predict a factor of 2 increase of Balmer-α emission in the JET-ILW low confinement divertor plasmas in high-recycling and detached conditions caused by the re-absorption of Lyman-β emission. …”
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  3. 4763

    Enhancing Situational Awareness of Helicopter Pilots in Unmanned Aerial Vehicle-Congested Environments Using an Airborne Visual Artificial Intelligence Approach by John Mugabe, Mariusz Wisniewski, Adolfo Perrusquía, Weisi Guo

    Published 2024-12-01
    “…To this end, we aim to combine the strengths of both spatial and temporal deep learning models and classic computer stereo vision to (1) estimate the depth of UAVs, (2) predict potential collisions with other UAVs in the sky, and (3) provide alerts for the pilot with regards to the drone that is likely to collide. …”
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  4. 4764

    Bayesian Inference and Condition Assessment Based on the Deflection of Aging Reinforced Concrete Hollow Slab Bridges by Xuliang Yan, Siyi Jia, Shuyang Jia, Jian Gao, Jiayu Peng

    Published 2024-09-01
    “…This paper presents a Bayesian inference framework for updating the structural rigidity ratio of aging hollow slab RC bridges using deflection measurements. The framework models the structural rigidity ratio as a stochastic field along the hollow RC slabs, using the Karhunen–Loeve (KL) transform to capture spatial correlation and variation. …”
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  5. 4765

    Efficient topology control for time-varying spacecraft networks with unreliable links by Wei Zhang, Hong Ma, Tao Wu, Xueshu Shi, Yiwen Jiao

    Published 2019-09-01
    “…Compared with most existing static graph models, this model includes both temporal and spatial topology information. …”
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  6. 4766

    A Review of Fire Interactions and Mass Fires by Mark A. Finney, Sara S. McAllister

    Published 2011-01-01
    “…The character of a wildland fire can change dramatically in the presence of another nearby fire. Understanding and predicting the changes in behavior due to fire-fire interactions cannot only be life-saving to those on the ground, but also be used to better control a prescribed fire to meet objectives. …”
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  7. 4767

    Dispersive determination of nucleon gravitational form factors by Xiong-Hui Cao, Feng-Kun Guo, Qu-Zhi Li, De-Liang Yao

    Published 2025-07-01
    “…We also predict the nucleon angular momentum and mechanical radii, providing further insights into the intricate internal structure of the nucleon.…”
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  8. 4768

    The Multiple Extended Tidal Tails of NGC 288 by Carl J. Grillmair

    Published 2025-01-01
    “…Stream modeling predicts a similar broad composite of streams and suggests that these narrower components could each be made up of one or more generations of tidal tails, each formed during different orbits over the past few gigayears. …”
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  9. 4769

    SA-I Mechanoreceptor Position in Fingertip Skin May Impact Sensitivity to Edge Stimuli by Gregory J. Gerling

    Published 2010-01-01
    “…The second result was that both models were equally capable of predicting the spatial structure within the in vivo neural responses, and therefore the addition of intermediate ridges did not help in differentiating the indenters. …”
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  10. 4770

    Temporal resolution of spike coding in feedforward networks with signal convergence and divergence. by Zach Mobille, Usama Bin Sikandar, Simon Sponberg, Hannah Choi

    Published 2025-04-01
    “…Additionally, we found that a simple network model based on convergence and divergence ratios of a hawkmoth (Manduca sexta) nervous system can reproduce the relative contribution of spike timing information in its motor output, providing testable predictions on optimal temporal resolutions of spike coding across the moth sensory-motor pathway at both the single-neuron and population levels.…”
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  11. 4771

    Enhancing urban resilience through machine learning-supported flood risk assessment: integrating flood susceptibility with building function vulnerability by Xiaoling Qin, Shifu Wang, Meng Meng, Haiyan Long, Huilan Zhang, Haochen Shi

    Published 2025-05-01
    “…Using a Random Forest (RF) model, it predicts flood susceptibility based on flood records, hydrological, topographical, and anthropogenic features. …”
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  12. 4772

    Research on the employment mobility patterns and driving factors of graduates from double first-class universities in the central China by Zilong Jiang, Zongyu Shao, Qiang Wang

    Published 2025-05-01
    “…Additionally, the study predicts the evolutionary trend of the network using the TERGM model. …”
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  13. 4773

    Cross-Species Multi-Omics Analysis Reveals Myeloid-Driven Endothelial Oxidative Stress in Ischemic Stroke by Ziqi Cheng, Hua Zhu, Shi Feng, Yonggang Zhang, Xiaoxing Xiong

    Published 2025-04-01
    “…Methods: In this study, we integrated bulk RNA-sequencing (RNA-seq), single-cell RNA-seq (scRNA-seq), spatial transcriptomics, and flow cytometry data from human and mouse models of ischemic stroke. …”
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  14. 4774

    Light-driven phenotypic plasticity in the depth-generalist coral, Pavona varians. by Claire J Lewis, Shayle B Matsuda, Tayler L Sale, Caitlyn Genovese, Chelsea S Wolke, Norton Chan, Stephen Ranson, Jake M Ferguson, Amy L Moran, David A Gulko, Peter B Marko

    Published 2025-01-01
    “…This additively negative relationship in the model is consistent with the hypothesis that reductions in bleaching at depth could be the product of reduced light stress at depth rather than reduced temperature stress. …”
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  15. 4775

    Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

    Published 2025-03-01
    “…The molecular docking method, based on computational algorithms, has been used to predict and study interactions, including the identification of potential binding sites, estimation of energy parameters and spatial configuration of molecules. …”
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  16. 4776

    Quantitative characterization and influencing factor analysis of coal structure of deep coal reservoirs in Linxing area by Xiangdong GAO, Shihao ZHOU, Hui GUO, Hao SUN, Mingda ZHANG, Chaowei LUO, Yanbin WANG, Xiang WU

    Published 2024-10-01
    “…The spatial distribution of coal structure was predicted, and the influence characteristics of sedimentation, structure, in-situ stress, and micro-mechanical properties on coal structure were explored. …”
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  17. 4777

    Observed Tightening of Tropical Ascent in Recent Decades and Linkage to Regional Precipitation Changes by Hui Su, Longtao Wu, Chengxing Zhai, Jonathan H. Jiang, J. David Neelin, Yuk L. Yung

    Published 2020-02-01
    “…Abstract Climate models predict that the tropical ascending region should tighten under global warming, but observational quantification of the tightening rate is limited. …”
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  18. 4778

    A condition diagnosis method for subway track structures employing distributed optical fiber sensing by Hong Han, Xiaopei Cai, Liang Gao

    Published 2025-08-01
    “…Through spatial correlation analysis of the strain of symmetric measuring points, the Mahalanobis distance of the predicted residual is used as the diagnostic factor to realize accurate identification of the orbital structure state. …”
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  19. 4779

    The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 by Minglei Wang, Wenjiao Shi

    Published 2024-12-01
    “…Firstly, we estimated the yearly crop blue and green water use at the site scale by incorporating more localized input parameters using a dynamic water balance model. Then, the random forest model was combined with site-scale simulation results to generate spatial predictions of blue and green water for each crop from 1991 to 2019. …”
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  20. 4780

    Analysis of the spatio-temporal variability of spawning mackerel in the Northeast Atlantic by Gersom Costas

    Published 2025-01-01
    “…To achieve this objective, a Random Forest model was used to predict the presence of mackerel eggs based on temporal, geographical, and environmental variables. …”
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