A mostrar 1 - 20 resultados de 1,758 para a pesquisa 'hard is (((((removedds. OR resolvesdss.) OR evolves.) OR involved.) OR involves.) OR resolve.)', tempo de pesquisa: 0.38seg Refinar resultados
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    Workflow of the phases involved. Por Wan Nor Atikah Che Wan Mohd Rozali (19746296)

    Publicado em 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 Por Duo Lv (3504341)

    Publicado em 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. Por Marco Pensalfini (5614109)

    Publicado em 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). Por Christophe Lounis (10164121)

    Publicado em 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 Por Peiyu Yan (14011299)

    Publicado em 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. ...”