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Workflow of the phases involved.
Được phát hành 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
Được phát hành 2022“…These DEGs are mainly involved in the calcium signaling of the cytoskeleton and auxin polar transport. …”
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Network plot of clonal clusters (0.99 IBD) harboring distinct haplotypes for four main genes involved in antimalarial drug resistance.
Được phát hành 2022Những chủ đề: -
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Dissecting Biological and Synthetic Soft–Hard Interfaces for Tissue-Like Systems
Được phát hành 2021Những chủ đề: -
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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.
Được phát hành 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).
Được phát hành 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
Được phát hành 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. …”