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  1. 10821

    MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes by Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah

    Published 2024-02-01
    “…To bridge these gaps, this study introduces a novel MED-Prompt framework that employs pretrained models such as BERT, BioBERT, and ClinicalBERT. The core of our framework lies in developing specialized prompts, which act as guiding instructions for the models during the prediction process. …”
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    Tuned Generalised <i>k</i>-<i>ω</i> (GEKO) Turbulence Model Parameters for Predicting Transitional Flow Through Stenosis Geometries of Various Degrees by Jake Emmerling, Sara Vahaji, David A. V. Morton, Svetlana Stevanovic, David F. Fletcher, Kiao Inthavong

    Published 2025-06-01
    “…The GEKO model was also able to closely match the axial velocity results predicted by previously published large-eddy simulation models under the same flow conditions. …”
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