Хайлтын өөр хувилбарууд:
hard » had (Хайлтыг өргөжүүлэх), hand (Хайлтыг өргөжүүлэх), ward (Хайлтыг өргөжүүлэх)
hard » had (Хайлтыг өргөжүүлэх), hand (Хайлтыг өргөжүүлэх), ward (Хайлтыг өргөжүүлэх)
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Workflow of the phases involved.
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
Хэвлэсэн 2022“…These DEGs are mainly involved in the calcium signaling of the cytoskeleton and auxin polar transport. …”
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Clear cell-rich salivary duct carcinoma involving the palate
Хэвлэсэн 2022“…We report the case of a 51-year-old male diagnosed with a clear cell variant of SDC in the minor salivary gland, involving the left hard palate. Immunohistochemical analysis revealed positivity for HER2/neu and GATA-3. …”
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Creating Connections: Involving young people in research about Paediatric Dentistry
Хэвлэсэн 2018“…Presentation on involving Young people in dental research and how we can improve with hard to reach children…”
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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).
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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Dissecting Biological and Synthetic Soft–Hard Interfaces for Tissue-Like Systems
Хэвлэсэн 2021Нөхцлүүд: -
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Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment
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. …”
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