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

Harmonic Mean01:09

Harmonic Mean

3.8K
The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
3.8K
Simple Harmonic Motion01:21

Simple Harmonic Motion

15.4K
Simple harmonic motion is the name given to oscillatory motion for a system where the net force can be described by Hooke's law. If the net force can be described by Hooke's law and there is no damping (by friction or other non-conservative forces), then a simple harmonic oscillator will oscillate with equal displacement on either side of the equilibrium position. To derive an equation for period and frequency, the equation of motion is used. The period of a simple harmonic oscillator is given...
15.4K
Energy in Simple Harmonic Motion01:23

Energy in Simple Harmonic Motion

13.0K
To determine the energy of a simple harmonic oscillator, consider all the forms of energy it can have during its simple harmonic motion. According to Hooke's Law, the energy stored during the compression/stretching of a string in a simple harmonic oscillator is potential energy. As the simple harmonic oscillator has no dissipative forces, it also possesses kinetic energy. In the presence of conservative forces, both energies can interconvert during oscillation, but the total energy remains...
13.0K
Characteristics of Simple Harmonic Motion01:17

Characteristics of Simple Harmonic Motion

18.1K
The key characteristic of the simple harmonic motion is that the acceleration of the system and, therefore, the net force are proportional to the displacement and act in the opposite direction to the displacement. Additionally, the period and frequency of a simple harmonic oscillator are independent of its amplitude. For example, diving boards move faster or slower based on their thickness. A stiff, thick diving board has a large force constant, which causes it to have a smaller period, while a...
18.1K
Problem Solving: Energy in Simple Harmonic Motion01:17

Problem Solving: Energy in Simple Harmonic Motion

2.2K
Simple harmonic motion (SHM) is a type of periodic motion in time and position, in which an object oscillates back and forth around an equilibrium position with a constant amplitude and frequency. In SHM, there is a continuous exchange between the potential and kinetic energy, which results in the oscillation of the object.
Consider the spring in a shock absorber of a car. The spring attached to the wheel executes simple harmonic motion while the car is moving on a bumpy road. The force on the...
2.2K
Simple Harmonic Motion and Uniform Circular Motion01:42

Simple Harmonic Motion and Uniform Circular Motion

5.7K
While simple harmonic motion and uniform circular motion may be two separate concepts, they correlate and interlink with each other. Simple harmonic motion is an oscillatory motion in a system where the net force can be described by Hooke's law, while uniform circular motion is the motion of an object in a circular path at constant speed.
There is an easy way to produce simple harmonic motion by using uniform circular motion. For instance, consider a ball attached to a uniformly rotating...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Tau positron emission tomography analysis methods for the quantification of tau spread in preclinical and early Alzheimer's disease.

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

Impact of plasma pTau181 levels on clinician diagnostic confidence and management in memory and cognition clinics: A multi-site before-and-after study.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Analysis of second-generation epigenetic clocks reveals further associations between disproportionate biological ageing and hippocampal volume.

GeroScience·2026
Same author

Predicting accumulation and age at onset of amyloid-β from genetic risk and resilience for Alzheimer's disease.

EBioMedicine·2026
Same author

Evidence for direct and sleep-moderated relationships between aquaporin-4 genetic variants and Alzheimer's disease phenotypes.

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

Genetic variation in the glymphatic pathway predicts cognition and neurodegeneration in preclinical Alzheimer's disease.

Research square·2026
Same journal

Unveiling the procoagulant state in Alzheimer's disease: A novel PET imaging strategy.

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

Estimated labor market outcomes of people progressing from preclinical to early-stage Alzheimer's disease in the United States.

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

Amyloid exacerbates tau and alpha-synuclein pathologies, behavioral impairments, and neuroinflammation in a mixed dementia model.

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

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

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

Reply to "Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities".

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

Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
See all related articles

Related Experiment Video

Updated: Feb 16, 2026

Harmonic Nanoparticles for Regenerative Research
09:23

Harmonic Nanoparticles for Regenerative Research

Published on: May 1, 2014

12.2K

Harmonizing neuropsychological test data across prospective studies.

Rosita Shishegar1,2, James D Doecke3, Yen Ying Lim4

  • 1The Australian e-Health Research Centre, CSIRO, Melbourne, Victoria, Australia.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|February 14, 2026
PubMed
Summary
This summary is machine-generated.

Harmonizing cognitive test data from Alzheimer's disease (AD) cohorts using machine learning improves data accuracy. This enables more powerful clinical-pathological modeling for future AD diagnostics and therapeutics.

Keywords:
clinical–pathological groupsdata harmonizationimputationlongitudinal studiesmachine learningneuropsychological tests

More Related Videos

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

638
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

2.6K

Related Experiment Videos

Last Updated: Feb 16, 2026

Harmonic Nanoparticles for Regenerative Research
09:23

Harmonic Nanoparticles for Regenerative Research

Published on: May 1, 2014

12.2K
Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

638
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

2.6K

Area of Science:

  • Neuroscience
  • Biostatistics
  • Medical Informatics

Background:

  • Alzheimer's disease (AD) research requires large datasets for robust statistical modeling.
  • Individual studies often have insufficient sample sizes for conclusive findings.
  • Harmonizing cognitive data across diverse AD cohorts can overcome sample size limitations.

Purpose of the Study:

  • To harmonize cognitive test data from three major Alzheimer's disease cohorts.
  • To enable robust clinical-pathological modeling in Alzheimer's disease research.
  • To support advancements in diagnostic and therapeutic strategies for AD.

Main Methods:

  • Integrated data from Alzheimer's Disease Neuroimaging Initiative, Australian Imaging, Biomarkers and Lifestyle, and Open Access Series of Imaging Studies-3 cohorts.
  • Employed MissForest, a machine learning imputation method, to harmonize neuropsychological test data.
  • Validated imputation accuracy and analyzed composite cognitive scores across clinical-pathological groups.

Main Results:

  • Machine learning-based imputation achieved high accuracy, comparable to test-retest variability.
  • Harmonized composite cognitive scores effectively reflected known Alzheimer's disease patterns.
  • Significant stratification of scores was observed across different clinical-pathological groups.

Conclusions:

  • The validated data harmonization approach provides reliable imputation for cognitive data.
  • This method enables the development of more powerful statistical models for Alzheimer's disease.
  • Facilitates future progress in AD diagnostics and therapeutic development.