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    Dysregulated interleukin networks drive immune heterogeneity in Alzheimer’s disease: an immunogenomic approach to subgroup classification and predictive modeling by Bin Zhang, Binglei Xu, Ruoxian Zhang, Baoying Gong, Jianwen Guo

    Published 2025-04-01
    “…LASSO and logistic regression were used to identify key interleukin genes, which were employed to construct a predictive nomogram. This model was validated using the GSE132903 dataset. …”
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    Impact of climatic change on alpine ecosystems: inference and prediction by Nigel G. Yoccoz, Anne Delestrade, Anne Loison

    Published 2011-01-01
    “…Even if we have made important progress regarding the development of predictive models, particularly so for distribution of alpine plants, we still need to set up observational and experimental networks which properly take into account the variability of alpine ecosystems and of their interactions with climate.…”
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    Application of Radionuclides Migration Software(MNS) in Radionuclides Diffusion Modeling by Yao LI, Rui-hao LI, Duo ZHOU, Xi CHEN, Yu-wei XU, Bo WANG

    Published 2025-04-01
    “…To satisfy the need of the prediction of radionuclides in long time and large scale, the disposal chemistry team at China Institute of Atomic Energy developed a radionuclide migration software, MNS, which could implement 2D or 3D system modeling by GID software and provide the concentration distribution of radionuclides in desired time and space point. …”
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    Dynamic causal models in infectious disease epidemiology—an assessment of their predictive validity based on the COVID-19 epidemic in the UK 2020 to 2024 by Cam Bowie, Karl Friston

    Published 2025-05-01
    “…This technical report addresses the predictive validity of long-term epidemiological forecasting based upon dynamic causal modeling. …”
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    A multi‐stage model for bird's eye view prediction based on stereo‐matching model and RGB‐D semantic segmentation by Zhongyu Rao, Yingfeng Cai, Hai Wang, Long Chen, Yicheng Li

    Published 2024-12-01
    “…Finally, the authors propose a Multi Strip Pooling Unet (MSP‐Unet) model with a hierarchical multi‐scale (HMS) attention and strip pooling (SP) module to improve prediction with BEV generation. …”
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    Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation. by Emily Hadley, Sarah Rhea, Kasey Jones, Lei Li, Marie Stoner, Georgiy Bobashev

    Published 2022-01-01
    “…Agent-based models (ABMs) have become a common tool for estimating demand for hospital beds during the COVID-19 pandemic. …”
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