The phrase "aging clustering" is not a standard expression in written English and may require clarification or context to be fully understood.
It could potentially be used in discussions related to demographics, data analysis, or social sciences, particularly when referring to the grouping of aging populations or data points related to aging.
Example: "The study focused on aging clustering in urban areas, highlighting how older adults tend to live in specific neighborhoods."
Alternatives: "elderly grouping" or "senior clustering".
When it is completed next year, the $38 million building, developed by the University of Louisville with help from the city, will house the offices of assisted care companies and be part of the city's care for the aging cluster.
The two remaining clusters assemble genes whose expression is modified by the treatment but not by aging (cluster C, Table S5), and genes modulated by aging but not by the treatment (cluster D, Table S6).
Two clusters were related to aging: Cluster 3 containing a somatic mental combination and Cluster 5 aggregating malignancy with osteoarthritis.
This is reflected in the nth-1 dataset: The genes in the aging cluster, as well as individual genes regulated more than 4-fold (Supplementary Table 1), indicate that oxidative stress responses are activated.
A total of 84 genes previously identified as downstream targets of DAF-16 (dod) [ 26, 27], were differentially regulated in nth-1, of which 67 were not assigned to the aging cluster based on present GO annotation.
In the present study, 28 different signs were used to quantify aging, clustered into four clinical domains: wrinkles and skin texture, ptosis and sagging (tissues slackening), pigmentation disorders, and others.
So if dark energy has declined as the universe has aged, clusters would have appeared more slowly in the distant past than in the recent past.
After statistical testing, 169 seniors were assigned to the active ageing (AG) cluster and 69 to the inactive ageing (IG) cluster.
The combination of the cardiopulmonary cluster with the men's cardiac cluster (OR = 1.6, 95% CI = 1 2.4) and one of the women's aging clusters (OR = 0.5, 95% CI = 0.3 0.8) showed interaction effects on hospitalization.
Age reporting in low- to middle-income countries has been raised as an important concern because reporting of ages in multiples of five or ten is relatively common and leads to age clustering.
