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

Thermochemical Equations02:55

Thermochemical Equations

36.1K
For a chemical reaction (the system) carried out at constant pressure – with the only work done caused by expansion or contraction – the enthalpy of reaction (also called the heat of reaction, ΔHrxn) is equal to the heat exchanged with the surroundings (qp).
36.1K
Modeling with Differential Equations01:25

Modeling with Differential Equations

98
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
98
Chemical Equations03:10

Chemical Equations

82.3K
Chemical equations represent the identities and relative quantities of substances involved in a chemical reaction. The substances undergoing reaction are called reactants, and their formulas are placed on the left side of the equation. The substances generated by the reaction are called products, and their formulas are placed on the right side of the equation. Plus signs (+) separate individual reactant and product formulas, and an arrow (→) separates the reactant and product (left and right)...
82.3K
The Nernst Equation02:59

The Nernst Equation

47.3K
Nonstandard Reaction Conditions
The interconnection between standard cell potentials and various thermodynamic parameters such as the standard free energy change ΔG° and equilibrium constant K has been previously explored. For example, a redox reaction involving zinc(II) and tin(II) ions at 1 M concentration with Eºcell = +0.291 V and ΔG° = −56.2 kJ is spontaneous.
47.3K
Exponential Equations for Modeling Growth02:33

Exponential Equations for Modeling Growth

266
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
266
Clausius-Clapeyron Equation02:35

Clausius-Clapeyron Equation

63.4K
The equilibrium between a liquid and its vapor depends on the temperature of the system; a rise in temperature causes a corresponding rise in the vapor pressure of its liquid. The Clausius-Clapeyron equation gives the quantitative relation between a substance’s vapor pressure (P) and its temperature (T); it predicts the rate at which vapor pressure increases per unit increase in temperature.
63.4K

You might also read

Related Articles

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

Sort by
Same author

Midlife Measures of General Cognitive Performance in the National Longitudinal Study of Adolescent to Adult Health (Add Health).

medRxiv : the preprint server for health sciences·2026
Same author

The Epilepsy-Cog study: Methods to establish a harmonized study of late onset epilepsy in a metacohort of six population-based cohorts in the United States.

Epilepsia·2026
Same author

Risk and protective factors for cognitive decline in older adults from a nationally representative sample in India: Results from the LASI-DAD.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Physical frailty, depression and multimorbidity among older adults in Lima, Peru: a cross-sectional study.

BMC geriatrics·2026
Same author

The association between lifetime marital histories and later-life cognitive function: Evidence from the United States and China.

The journals of gerontology. Series B, Psychological sciences and social sciences·2026
Same author

Development and validation of a harmonized memory score for multicenter Alzheimer's disease and related dementia research.

Alzheimer's research & therapy·2026
Same journal

SuperAgers Show Attenuated Age-Related Decline in Episodic Memory: Longitudinal Evidence from the Yakumo Study.

Experimental aging research·2026
Same journal

Mental Health Stereotypes and Aging: Effects on Mood and Decision Making.

Experimental aging research·2026
Same journal

Aging Reduces Attentional Modulation of Speech-Evoked Cortical Responses While Preserving Adaptation.

Experimental aging research·2026
Same journal

Ageing and Type of Employment Affect Workers' Ability to Anticipate Their Employment Prospects.

Experimental aging research·2026
Same journal

Associations of Self-Defining Memories Characteristics and Transdiagnostic Variables with Depressive Symptoms in Older Adults.

Experimental aging research·2026
Same journal

Older Adults Show Reduced High Frequency Power in Both Recent and Remote Spatial Memory Retrieval Compared to Younger Adults.

Experimental aging research·2026
See all related articles

Related Experiment Video

Updated: Feb 16, 2026

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

1.1K

The ACTIVE conceptual framework as a structural equation model.

Alden L Gross1,2, Brennan R Payne3, Ramon Casanova4,5

  • 1a Departments of Epidemiology , Johns Hopkins Center on Aging and Health, Johns Hopkins Bloomberg School of Public Health , Baltimore , Maryland , USA.

Experimental Aging Research
|January 6, 2018
PubMed
Summary
This summary is machine-generated.

The ACTIVE conceptual framework for cognitive training was validated. Findings suggest that intervention effects on cognitive performance may differ from those who benefit most in real-world activities.

More Related Videos

Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior
06:45

Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior

Published on: March 8, 2024

10.0K
Synthesis and Characterization of Functionalized Metal-organic Frameworks
11:27

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

49.3K

Related Experiment Videos

Last Updated: Feb 16, 2026

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

1.1K
Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior
06:45

Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior

Published on: March 8, 2024

10.0K
Synthesis and Characterization of Functionalized Metal-organic Frameworks
11:27

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

49.3K

Area of Science:

  • Gerontology
  • Cognitive Psychology
  • Clinical Trials

Background:

  • Conceptual frameworks are high-level analytic models.
  • Operationalizing these frameworks is crucial for designing effective randomized trials and determining appropriate sample sizes.

Purpose of the Study:

  • To empirically test the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) conceptual framework.
  • To evaluate the fit of measurement and structural models for cognitive training outcomes.
  • To explore modifications of the conceptual model based on demographic and health factors.

Main Methods:

  • Utilized structural equation modeling (N=2,802) to test the ACTIVE conceptual framework.
  • Developed and tested measurement models for proximal, primary, and secondary outcomes using baseline data.
  • Assessed the fit of the full structural model and examined modifications by demographic variables.

Main Results:

  • Measurement models for all outcomes demonstrated excellent fit to the data.
  • The full structural model showed excellent overall fit (RMSEA = .038; CFI = .924).
  • Interactions indicated that training benefits on cognitive abilities were stronger for individuals with nonwhite race, poorer health, older age, and less education.

Conclusions:

  • Empirical data provide strong support for the hypothesized ACTIVE conceptual model.
  • The study highlights potential differences between individuals who benefit from cognitive training and those who experience greater real-world transfer of cognitive gains.