Analyses of directed phase lag index (dPLI [44]) for excitatory/inhibitory (E/I) ratios with respect to pyramidal (Pyr) and parvalbumin (PV) populations (<i>A</i>) and Pyr and soma... by Nobuhiko Wagatsuma (494052)

The result of molecular dynamics simulation. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Result of the phenotypic analysis. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Type of Mutations. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Pearson’s correlation analysis for soil enzymes and indices of bacterial alpha diversity. by Xiaona Lyu (20871872)

(A) Pie chart showing the distribution of mutation types identified within the TP53 gene. by Ashraf Attia Mahmoud (21262201)

(A) TP53 expression levels are elevated in TP53-mutant and nonmutant HNSC samples compared to normal tissues. by Ashraf Attia Mahmoud (21262201)

Histopathological changes in pre-treated group, treated group and normal diet group. by Yasmin Mohd Zainal Abidin Shukri (20558861)

Alpha diversity index table. by Xiaona Lyu (20871872)

“…Phylogenetic analysis identified Actinobacteriota (26.06%), Proteobacteria (25.89%), Chloroflexi (12.42%), and Acidobacteriota (11.03%) as the dominant bacterial phyla. Significant positive correlations were observed between invertase, urease, catalase, and alkaline phosphatase activities and microbial diversity indices (ASVs, ACE, Chao1, Shannon index). …”

ASV species taxonomic information sheet. by Xiaona Lyu (20871872)

“…Phylogenetic analysis identified Actinobacteriota (26.06%), Proteobacteria (25.89%), Chloroflexi (12.42%), and Acidobacteriota (11.03%) as the dominant bacterial phyla. Significant positive correlations were observed between invertase, urease, catalase, and alkaline phosphatase activities and microbial diversity indices (ASVs, ACE, Chao1, Shannon index). …”

Effective sequence statistics table. by Xiaona Lyu (20871872)

“…Phylogenetic analysis identified Actinobacteriota (26.06%), Proteobacteria (25.89%), Chloroflexi (12.42%), and Acidobacteriota (11.03%) as the dominant bacterial phyla. Significant positive correlations were observed between invertase, urease, catalase, and alkaline phosphatase activities and microbial diversity indices (ASVs, ACE, Chao1, Shannon index). …”

Propofol wash-in. by Anne S. Fleiner (20496284)

“…(i) There was no difference in the change in the post-burst area between any of the concentrations of propofol used following 5 minutes of wash-in (MWU test; 0 μM: n = 10; 3 μM: n = 8; 10 μM: n = 10). (ii) A significantly larger decrease in post-burst spikes was observed after wash-in of both 3 μM and 10 μM propofol compared to the control (0 μM). …”

Factors associated with the <i>SS</i> Positives. by Anuradha Rajamanickam (5278013)

“…<div><p><i>Strongyloides stercoralis (Ss)</i> is a parasitic infection affecting 50–100 million people globally, with significant immune and metabolic consequences, particularly in immunocompromised individuals. …”

(A) The distribution of mutations within the 3D structure of the TP53 protein. by Ashraf Attia Mahmoud (21262201)

Structural clashes in TP53 mutants: (A) G266E mutation causes steric clashes with PHE109 and LEU257, destabilizing the structure. by Ashraf Attia Mahmoud (21262201)

Code. by Hongliang Chen (538815)

“…Experiments revealed that the expression of the ACADM and ACADSB genes was decreased in UC patients. Mitochondrial dysfunction contributes to the pathogenesis of UC by altering energy metabolism, promoting immune disorders and activating pathogenic signaling pathways. …”

Raw Data. by Hongliang Chen (538815)

“…Experiments revealed that the expression of the ACADM and ACADSB genes was decreased in UC patients. Mitochondrial dysfunction contributes to the pathogenesis of UC by altering energy metabolism, promoting immune disorders and activating pathogenic signaling pathways. …”

Workflow of the study. by Hongliang Chen (538815)

“…Experiments revealed that the expression of the ACADM and ACADSB genes was decreased in UC patients. Mitochondrial dysfunction contributes to the pathogenesis of UC by altering energy metabolism, promoting immune disorders and activating pathogenic signaling pathways. …”

Biological and psychobehavioral variables associated with academic performance in relation to increased stress. by Juan Luis Castillo-Navarrete (20460836)

Importance of the predictor variables for estimating AGB using a random forest model. by Kasip Tiwari (22232186)