Serum levels of anti-PspC IgG with increasing age. by Adriano P. Araujo (10136683)

Standardized regression weights. by Abdullah A. Alasmari (22566815)

“…This study presents a quantitative analysis of survey data from 335 participants to examine how demographic factors, age, gender, familiarity with AI, and frequency of technology use influence trust across a range of cognitive tasks. …”

Survey participants’ responses. by Abdullah A. Alasmari (22566815)

“…This study presents a quantitative analysis of survey data from 335 participants to examine how demographic factors, age, gender, familiarity with AI, and frequency of technology use influence trust across a range of cognitive tasks. …”

Theoretical model. by Abdullah A. Alasmari (22566815)

“…This study presents a quantitative analysis of survey data from 335 participants to examine how demographic factors, age, gender, familiarity with AI, and frequency of technology use influence trust across a range of cognitive tasks. …”

Heatmap of Chi-Square P-values. by Abdullah A. Alasmari (22566815)

“…This study presents a quantitative analysis of survey data from 335 participants to examine how demographic factors, age, gender, familiarity with AI, and frequency of technology use influence trust across a range of cognitive tasks. …”

Key findings summary. by Abdullah A. Alasmari (22566815)

“…This study presents a quantitative analysis of survey data from 335 participants to examine how demographic factors, age, gender, familiarity with AI, and frequency of technology use influence trust across a range of cognitive tasks. …”

A representative set of trials. by Giulio Contemori (7019876)

IRI group exhibited a significantly greater decrease in proportion of gambles accepted compared to the IRI group in the second block. by Yasuhiro Mochizuki (3308349)

Finishing time increases with age. by Shawn E. Bearden (21354500)

NSC population and proliferation decrease drastically during the second postnatal week of DG development. by Cristina Medina-Menéndez (21800157)

These subfigures show a visualization of the context embeddings for the DSVAE model with LS=2=4,CS=2. The first subfigure from the left shows three patient clusters, the second sub... by Eloy Geenjaar (21533195)

Age-related increase in the amount of Aβ aggregates in the midgut of Aβ-expressing flies. by Greta Elovsson (21680884)

Naringenin decreases total cell viability. by Lauren A. Eanes (20995499)

Breakpoint junctions increase in non-dividing, ageing cells. by David A. Ellis (294143)

“…<b>(C)</b> Number of breakpoint Junctions Per Mapped Read (JPMR) passing filter (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1009784#sec009" target="_blank">Materials and Methods</a>) as a function of cellular age. …”

Given a von Bertalanffy growth trajectory, increasing survival increases optimal maturation age and size. by James E. Breck (8582229)

“…<p>As annual survival <i>s</i> increases (red: 0.25, orange: 0.50, green: 0.70, blue: 0.80), the growth curve is unchanged but the iso-fitness curves become less steep and the age-0 intercepts increase, so optimal age and length increase along the growth curve. …”

Association between variables and time to recurrent admission after AIS hospitalization (using a Weibull accelerated failure time model) in univariate analysis (Model 1) and after... by Lily W. Zhou (16748332)

Supplementary file 2_Gut microbiome dynamics and functional shifts in healthy aging: insights from a metagenomic study.xlsx by Xu Ai (18450501)

“…Our analysis specifically focused on the trends in the alterations of gut microbiome species and their potential functions as age increases, revealing that the changes in major differential functions closely align with the trends in major differential species, demonstrating a strong positive correlation. …”

Supplementary file 1_Gut microbiome dynamics and functional shifts in healthy aging: insights from a metagenomic study.docx by Xu Ai (18450501)

“…Our analysis specifically focused on the trends in the alterations of gut microbiome species and their potential functions as age increases, revealing that the changes in major differential functions closely align with the trends in major differential species, demonstrating a strong positive correlation. …”

Patient characteristics comparing the spring and autumn period, ECMO = extracorporeal membrane oxygenation. by Christian Karagiannidis (64152)

Fig 1 - by Christian Karagiannidis (64152)