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). per 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).…”

Covid Chronicles: My own business per Carlos Ibarra-Rivadeneira (8769953)

Matèries:

Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment per 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. …”

Clear cell-rich salivary duct carcinoma involving the palate per 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. per Erin K. Schwartz (4866592)

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

2D visualization of the HDBSCAN results on the journalists dataset with both hard and soft clustering. per Kilian Ollivier (14159864)

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

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

Hard Bop per John Atkin (1383798)

“…Hard Bop is a public artwork developed in collaboration with the San Francisco Mayors Office, Landscape Architects and Community Consultation, with the aim of regenerating a community space in the heart of Fillmore, San Francisco. …”

Delete one edge on Karate network to change the consensus opinion—<i>β</i> = 1. per Xi Chen (35903)

Matèries:

For the Karate network. per Xi Chen (35903)

Matèries:

Influence of edge edition on consensus. per Xi Chen (35903)

Matèries:

Graphical illustration of Case 2 from Theorem 1 (i.e. <i>p</i> < 0 and <i>β</i> ≥ −1/<i>p</i>). per Xi Chen (35903)

Matèries:

Opinion formation on the star graph. per Xi Chen (35903)

Matèries:

Based on one ER model (<i>n</i> = 100, <i>ρ</i> = 0.0606), one WS model (<i>n</i> = 100, <i>K</i> = 6, <i>σ</i> = 0.2), and one BA model (<i>n</i> = 100, <i>M</i>₀ = 4,... per Xi Chen (35903)

Matèries:

For 1,000 random y(0) on Karate network. per Xi Chen (35903)

Matèries:

Based on three WS models with different rewiring probabilities (<i>n</i> = 100, <i>K</i> = 6, <i>σ</i> = 0.1, 0.3, 0.8). per Xi Chen (35903)

Matèries:

<i>β</i>^<i>P</i> for real-world twitter datasets. per Xi Chen (35903)

Matèries:

For 1,000 random y(0). per Xi Chen (35903)

Matèries:

For a random opinion vector y(0) with mean −0.0395, on 1,000 ER models with <i>n</i> = 100 and <i>ρ</i> = 0.4. per Xi Chen (35903)

Matèries: