Linearity of relationship between age prediction counts and predicted age. by Catherine A. Pruszynski (3749149)

“…All data sets demonstrated a strong, non-linear decrease in the sample count as predicted age increased, indicating suitability of the data for assessment using <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0012350#pntd.0012350.e002" target="_blank">Eq 2</a>.…”

GXM decreases the trans-endothelial electrical resistance (TEER) and transmigration of <i>C</i>. <i>neoformans</i> through HBECs in a blood brain barrier (BBB) model. by Hiu Ham Lee (15374677)

With increasing age, the FBA increased, then the NSA and the aMDFA increased, which finally led to a decreased mMDFA. by Yang Lu (59885)

Theoretical Studies of Furan and Thiophene Nanothreads: Structures, Cycloaddition Barriers, and Activation Volumes by Bo Chen (32294)

Subjects:

Theoretical Studies of Furan and Thiophene Nanothreads: Structures, Cycloaddition Barriers, and Activation Volumes by Bo Chen (32294)

Subjects:

Femur length anomalies tend to decrease with later phenology (greater day of year of adulthood anomaly) regardless of elevation or species’ seasonal timing. by César R. Nufio (11646271)

Aging increases senescence markers in ASM. by Sarah A. Wicher (11204226)

“…<p>Immunofluorescence staining for p21 a marker of cell cycle arrest (A) showed increased levels in elderly ASM. γH2AX, a marker for DNA damage, increased in elderly ASM (B). …”

Chance of relapse was increased with increasing Gleason Score, PSA level and age. by Stephanie E. A. Burnell (7164608)

“…<p>(A) Gleason, (B) PSA level and (C) Age were plotted against the death and relapse of the patient. …”

Linear regression model with MBI score. by Nadia Yanet Cortés-Álvarez (18611445)

Linearity of ACER3 activity assay. by Jae Kyo Yi (13570063)

Intent to decrease use of OTC NSAIDs and NSAID exposure. by Matthew G. Vinson (22593374)

Subjects:

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

“…<p>As annual survival <i>s</i> increases, the growth curve is unchanged, but the iso-fitness curves become less steep and the age-0 intercepts increase (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0228990#pone.0228990.g008" target="_blank">Fig 8</a>), so optimal age and length increase along the growth curve. …”

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

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

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

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

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. …”

Brain age monotonicity without application of a sliding window. by Siamak K. Sorooshyari (9014891)

“…The Spearman correlation of 0.396 demonstrates small to no monotonicity between the percentages of subjects classified as aged and the ages. In interval 2 we attain β₀ = 64.78, β₁ = 0.496 which indicates a gradual increase in the classification of increasingly older brains as aged. …”

Marginal effect of age on estimated proportion of text devoted to theme. by Danielle Lamb (3411302)