検索結果 1 - 20 結果 / 1,758 検索語 'hard is (((((removedds. OR resolvesdss.) OR evolves.) OR involved.) OR involves.) OR resolve.)', 処理時間: 0.33秒 結果の絞り込み
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    Workflow of the phases involved. 著者: Wan Nor Atikah Che Wan Mohd Rozali (19746296)

    出版事項 2024
    “…While the third phase involved evaluating the reliability. A total of six experts from public academic institutions participated in the initial evaluation stage to assess validity while five experts were involved in the second stage. …”
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    Data_Sheet_1_Comparative Transcriptome Analysis of Hard and Tender Fruit Spines of Cucumber to Identify Genes Involved in the Morphological Development of Fruit Spines.ZIP 著者: Duo Lv (3504341)

    出版事項 2022
    “…These DEGs are mainly involved in the calcium signaling of the cytoskeleton and auxin polar transport. …”
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    Simulation of wound healing progression with hard-coded mechanical parameters evolving linearly between the experimentally-informed median values, and stretch-driven mechanosensing with Ω<sup><i>m</i></sup> = 0.01. 著者: Marco Pensalfini (5614109)

    出版事項 2023
    “…<p>Simulation of wound healing progression with hard-coded mechanical parameters evolving linearly between the experimentally-informed median values, and stretch-driven mechanosensing with Ω<sup><i>m</i></sup> = 0.01.…”
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    The most frequent trigrams involving unique AOIs in the pilot group during the Control Scenario (CS), the Easy Dual-Task Scenario (EDTS), and the Hard Dual-Task Scenario (HDTS). 著者: Christophe Lounis (10164121)

    出版事項 2021
    “…<p>The most frequent trigrams involving unique AOIs in the pilot group during the Control Scenario (CS), the Easy Dual-Task Scenario (EDTS), and the Hard Dual-Task Scenario (HDTS).…”
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    Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment 著者: Peiyu Yan (14011299)

    出版事項 2025
    “…Direct injection causes pain, and PRP-incorporated microneedles (MNs) have low hardness and slow dissolution. To tackle this problem, we propose a machine-learning (ML)-driven strategy, which involves integrating the selection of therapeutic substances, orthogonal experiment designs, ML prediction, and Pareto front identification. …”