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Related Concept Videos

Aging01:26

Aging

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Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
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Replicative cell senescence is a property of cells that allows them to divide a finite number of times throughout the organism's lifespan while preventing excessive proliferation. Replicative senescence is associated with the gradual loss of the telomere — short, repetitive DNA sequences found at the end of the chromosomes. Telomeres are bound by a group of proteins to form a protective cap on the ends of chromosomes. Embryonic stem cells express telomerase — an enzyme that adds...
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Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
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Mitochondria are eukaryotic cellular organelles that are known to produce energy through a process called oxidative phosphorylation. Besides their primary function, mitochondria are involved in various cellular processes, including cell growth, differentiation, signaling, metabolism, and senescence. Age-related changes cause a decline in mitochondrial quality and integrity due to increased mitochondrial mutations and oxidative damage. Thus, aging can severely impact mitochondrial functions,...
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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
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Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells
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Recurrence Quantification for the Analysis of Coupled Processes in Aging.

Timothy R Brick1, Allison L Gray2, Angela D Staples3

  • 1Departments of Human Development and Family Studies and Psychology.

The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
|September 29, 2017
PubMed
Summary

Recurrence Quantification Analysis (RQA) and Cross-Recurrence Quantification Analysis (CRQA) quantify aging processes by analyzing system similarities. These methods reveal patterns of repetition and co-occurrence, offering insights into aging dynamics.

Keywords:
Dyadic analysisDynamical systems analysisInterpersonal systemsLongitudinal changeRecurrence quantification analysis

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Area of Science:

  • Dynamical Systems Theory
  • Gerontology
  • Nonlinear Dynamics

Background:

  • Aging involves complex, interacting processes.
  • Quantifying these interactions is crucial for understanding aging.
  • Recurrence analysis offers a method to measure process similarity over time.

Purpose of the Study:

  • Introduce Recurrence Quantification Analysis (RQA) and Cross-Recurrence Quantification Analysis (CRQA).
  • Demonstrate RQA and CRQA's utility in analyzing dynamical systems, specifically aging.
  • Characterize self-similarity and temporal co-occurrence in aging processes.

Main Methods:

  • Recurrence Quantification Analysis (RQA) for intra-system similarity.
  • Cross-Recurrence Quantification Analysis (CRQA) for inter-system temporal co-occurrence.
  • Application to intensive longitudinal data, exemplified by conversational movements across age groups.

Main Results:

  • RQA and CRQA effectively analyze repetitive processes in daily life.
  • These methods describe process co-occurrence, synchronization, and prediction.
  • Comparative analysis between groups highlights changes in process characteristics during aging.

Conclusions:

  • RQA and CRQA provide valuable insights into the unfolding of aging processes.
  • These techniques reveal internal repetition patterns and how they echo other processes.
  • Understanding these dynamics can illuminate how characteristics change across the lifespan.