Brief Report: Increased technology use associated with lower A1C in a large pediatric clinical population by G. Todd Alonso (9568724)

“…</p> <p><strong>Research Design and Methods</strong></p> <p>Of patients <22 years of age with type 1 diabetes duration >3 months at a single center in 2016-2017 (n=2827) and 2020-2021 (n=2731), 1455 had data in both time periods. …”

Absolute gains in schooling and relative increase in annual income by country. by Mia M. Blakstad (12837005)

Increased Zn²⁺ levels in the skin under aged conditions. by Fang Tong (484200)

Pandemic visit dynamics at a large academic medical center. by Matthew M. Cousins (10312716)

Effects of increasing network sparsity. by Paul Manz (15213784)

“…Simulations with low converge slowly, which is reflected by large error bars. (b): An assembly structure becomes coarser (fewer, larger assemblies) as the connectivity sparsity increases. …”

N-acetilcysteine prevents the <i>A</i>. <i>simplex</i> CE-induced TEER decrease. by Noelia Carballeda-Sangiao (2889611)

Effect of the temperature and protease inhibition on the <i>A</i>. <i>simplex</i>-induced TEER decrease. by Noelia Carballeda-Sangiao (2889611)

Graphs of the change in COP associated with increasing Ez force applied to each of the isolated lenses from donors of different age. by Ronald A. Schachar (16674576)

Supplementary Material for: A History of Asthma Increases the Risk of Bullous Pemphigoid: Insights from a Large Population-Based Study by Kridin K. (10202555)

“…<b><i>Results:</i></b> The prevalence of preceding asthma was higher in patients with BP than in control subjects (11.1 vs. 7.9%, respectively; <i>p</i> < 0.001). A history of asthma was associated with a 50% increase in the risk of BP (OR 1.45; 95% CI 1.30–1.62). …”

Climate change and cancer are deemed a greater concern than AR largely independent of age. by Emily Smith (3125130)

Distribution of antibody titers and age-stratified seroprevalence. by Everlyn Kamau (7331666)

Subjects:

Increase in cells capable of producing Aβ in brains from patients with sporadic AD brains is largely due to oligodendrocytes. by Rikesh M. Rajani (19200622)

“…<p><b>(a)</b> Plot showing the number of <i>MBP</i>⁺ cells found in Layers 5/6 (<b><a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002727#pbio.3002727.g001" target="_blank">Fig 1A and 1C</a></b>) of the prefrontal cortex against the age of the donor. …”

Features of the age- and time-constant FOI model with seroreversion (Model 2) and the age-dependent FOI model without seroreversion (Model 5). by Everlyn Kamau (7331666)

Subjects:

Archaeological sites identified in the Altai from the Early to Middle/Late Bronze Age point to a demographic increase beginning in the Middle Bronze Age (partially based on maps in [42]). by Alicia R. Ventresca Miller (10284553)

Percentage increase from baseline scores at the first wave after disease incidence in self-reported health, large muscle function, and mobility by chronic disease. by James Davis (2267599)

Estimated annual probability of infection for age-constant FOI Models. by Everlyn Kamau (7331666)

Subjects:

Performance of all brain age models increases with the number of subjects in the training set. by John Kruper (18809386)

“…(b) MLP4, a fully connected algorithm has a similar learning curve, but it starts at much lower <i>R</i>², (c) Convolutional neural networks (CNNs) start at an even lower <i>R</i>² with small sample sizes, but increase precipitously reaching higher levels of performance at large sample sizes. …”

Increased copy number of genes telomere proximal to the rDNA on ChrXII is not responsible for the SEP. by Andre Zylstra (9228881)

Prevalence of medical conditions in a large healthcare system. by Naomi Gronich (4759779)

Best age-constant FOI Models (Models 2 and 4) fit to data. by Everlyn Kamau (7331666)

Subjects: