'hard is (((((removedds. OR resolvesdss.) OR evolves.) OR involved.) OR involves.) OR resolve.)' хайлтад зориулсан 1,758-н үр дүнгүүд 1 - 20-г харуулж байна, асуулгын хугацаа: 0.40s Үр дүнг сайжруулах
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    Workflow of the phases involved. Wan Nor Atikah Che Wan Mohd Rozali (19746296)

    Хэвлэсэн 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 Duo Lv (3504341)

    Хэвлэсэн 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. Marco Pensalfini (5614109)

    Хэвлэсэн 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). Christophe Lounis (10164121)

    Хэвлэсэн 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 Peiyu Yan (14011299)

    Хэвлэсэн 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. …”