Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Generation Time01:22

Generation Time

Bacterial generation time, the period required for a bacterial population to double during its exponential growth phase, serves as a critical measure of microbial growth dynamics under optimal conditions. This parameter varies significantly across bacterial species and can be influenced by factors such as temperature, pH, and the availability of nutrients. For example, Escherichia coli can achieve a generation time of approximately 20 minutes, while Mycobacterium tuberculosis exhibits a much...
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
Degrees of Freedom01:02

Degrees of Freedom

The degree of freedom for a particular statistical calculation is the number of values that are free to vary. As a result, the minimum number of independent numbers can specify a particular statistic. The degrees of freedom differ greatly depending on known and uncalculated statistical components.
For example, suppose there are three unknown numbers whose mean is 10; although we can freely assign values to the first and second numbers, the value of the last number can not be arbitrarily...
Degrees of Freedom01:02

Degrees of Freedom

The degree of freedom for a particular statistical calculation is the number of values that are free to vary. Thus, the minimum number of independent numbers can specify a particular statistic. The degrees of freedom differ greatly depending on known and uncalculated statistical components.
For example, suppose there are three unknown numbers whose mean is 10; although we can freely assign values to the first and second numbers, the value of the last number can not be arbitrarily assigned.
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Penetrance of Neurodevelopmental Copy Number Variants Is Associated With Variations in Cortical Morphology.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2025
Same author

Epigenetic insights into neuropsychiatric and cognitive symptoms in Parkinson's disease: A DNA co-methylation network analysis.

NPJ Parkinson's disease·2025
Same author

Bile acid diarrhoea and metabolic changes after cholecystectomy: a prospective case-control study.

BMC gastroenterology·2024
Same author

Genotype-phenotype correlation in PRKN-associated Parkinson's disease.

NPJ Parkinson's disease·2024
Same author

Investigation of the genetic aetiology of Lewy body diseases with and without dementia.

medRxiv : the preprint server for health sciences·2023
Same author

Single-cell RNAseq identifies clonally expanded antigen-specific T-cells following intradermal injection of gold nanoparticles loaded with diabetes autoantigen in humans.

Frontiers in immunology·2023
Same journal

Hunting ecology predicts eye arrangements in the modular visual system of spiders.

Current biology : CB·2026
Same journal

Sub-second fluctuations between top-down and bottom-up modes distinguish diverse human brain states.

Current biology : CB·2026
Same journal

Queen bees offload pesticide burden to eggs when social buffering is overwhelmed.

Current biology : CB·2026
Same journal

Pitch selectivity in ferret auditory cortex.

Current biology : CB·2026
Same journal

A cell size-dependent competition between geometry and polarity governs nuclear and spindle positioning in early embryos.

Current biology : CB·2026
Same journal

Trophic cascades drive sustainability in the agricultural heritage rice-fish coculture system.

Current biology : CB·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells
12:24

Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells

Published on: May 6, 2009

Four key decades

Nigel Williams

    Current Biology : CB
    |July 31, 2009
    PubMed
    Summary

    No abstract available in PubMed .

    More Related Videos

    Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
    08:46

    Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

    Published on: September 29, 2011

    Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton
    08:15

    Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton

    Published on: July 28, 2023

    Related Experiment Videos

    Last Updated: Jun 21, 2026

    Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells
    12:24

    Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells

    Published on: May 6, 2009

    Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
    08:46

    Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model

    Published on: September 29, 2011

    Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton
    08:15

    Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton

    Published on: July 28, 2023