Workflow of the phases involved. Tekijä Wan Nor Atikah Che Wan Mohd Rozali (19746296)

“…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. …”

Three-stage cascade processes involving stochastic transitions in the hard sciences. Tekijä Helli Merica (208808)

Summary of data set types and analyses involving them. Tekijä Manuela Carrasquilla (2897933)

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Projection-resolved optical coherence tomography angiography (PR-OCTA) of hard exudates. Tekijä Alaa E. Fayed (6703916)

“…<p><b>Top row:</b> Spectral domain-OCT (SD-OCT), projection artifact removal (PAR) OCTA and PR-OCTA scans at thresholds of 0.3, 0.5 and 0.7 of case 13. …”

Magnetic resonance image of the maxilla showing an enhanced lesion of the left hard palate with thickening of the genal mucosa and no bone involvement Tekijä Piergiuseppe Colombo (7260)

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Network plot of clonal clusters (0.99 IBD) harboring distinct haplotypes for four main genes involved in antimalarial drug resistance. Tekijä Manuela Carrasquilla (2897933)

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Data_Sheet_1_Involving hard-to-reach populations is pivotal for the tailoring and implementation of an epidemiological study in cross-border communities of French Guiana and Suriname.docx Tekijä Roxane Schaub (5899007)

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 Tekijä Duo Lv (3504341)

“…These DEGs are mainly involved in the calcium signaling of the cytoskeleton and auxin polar transport. …”

Clear cell-rich salivary duct carcinoma involving the palate Tekijä Fernanda A. Felix (12831916)

“…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. …”

Proposed model of Mus81 involvement at budding yeast telomeres. Tekijä Erin K. Schwartz (4866592)

“…Rrm3 is a 5’-to-3’ DNA helicase required for normal replication fork progression through ‘hard to replicate’ sequences’ including telomere and subtelomeric regions by directly removing barriers [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1008816#pgen.1008816.ref066" target="_blank">66</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1008816#pgen.1008816.ref109" target="_blank">109</a>]. …”

Creating Connections: Involving young people in research about Paediatric Dentistry Tekijä Greig Taylor (6007418)

“…Presentation on involving Young people in dental research and how we can improve with hard to reach children…”

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). Tekijä Christophe Lounis (10164121)

“…<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).…”

Immunohistochemical detection of Lgr6 and hard keratins. Tekijä Yukino Inomata (18554610)

Leeb rebound hardness values boxplots. Tekijä Eduardo Paixão (20536077)

Hardness and density data by raw material. Tekijä Eduardo Paixão (20536077)

Scatterplots showing the relationship between hardness and density, hardness and volume loss, and density and volume loss for all raw materials. Tekijä Eduardo Paixão (20536077)

Plots hardness, density and volume loss data. Tekijä Eduardo Paixão (20536077)

Dissecting Biological and Synthetic Soft–Hard Interfaces for Tissue-Like Systems Tekijä Yin Fang (1499122)

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Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment Tekijä Peiyu Yan (14011299)

“…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. …”

Infection stimulated an up-regulation of several transcripts involved in inflammatory and ROS response pathways. Tekijä Jesper A. B. Strickertsson (408221)