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

Spontaneity02:21

Spontaneity

23.9K
A spontaneous process is one that occurs naturally under certain conditions. A nonspontaneous process, on the other hand, will not take place unless it is “driven” by the continual input of energy from an external source. Processes have a natural tendency to occur in one direction under a given set of conditions. Water will naturally flow downhill (spontaneous process), but uphill flow (nonspontaneous process) requires outside intervention such as the use of a pump. Iron exposed to...
23.9K
Effects of feedback01:24

Effects of feedback

564
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
564
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.4K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.4K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

691
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
691
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

522
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
522
Gene Flow02:39

Gene Flow

35.1K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
35.1K

You might also read

Related Articles

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

Sort by
Same author

The whole picture in digital pathology.

Nature computational science·2024
Same author

Integrating computational and experimental worlds.

Nature computational science·2024
Same author

COVID-19 prognosis from a longitudinal dataset.

Nature computational science·2024
Same author

Shining a light on mutational signatures.

Nature computational science·2024
Same author

Accuracy and fairness go hand in hand.

Nature computational science·2024
Same author

Parameter inference for systems biology models.

Nature computational science·2024

Related Experiment Video

Updated: Jul 6, 2025

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
10:09

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Published on: March 5, 2014

12.4K

Impact of spillovers on technological changes

Ananya Rastogi1

  • 1Nature Computational Science, . ananya.rastogi@nature.com.

Nature Computational Science
|January 4, 2024
PubMed
Summary

No abstract available in PubMed .

More Related Videos

Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films
07:08

Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films

Published on: August 18, 2018

7.5K
Visualization of High Speed Liquid Jet Impaction on a Moving Surface
08:34

Visualization of High Speed Liquid Jet Impaction on a Moving Surface

Published on: April 17, 2015

11.5K

Related Experiment Videos

Last Updated: Jul 6, 2025

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
10:09

Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids

Published on: March 5, 2014

12.4K
Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films
07:08

Film Control to Study Contributions of Waves to Droplet Impact Dynamics on Thin Flowing Liquid Films

Published on: August 18, 2018

7.5K
Visualization of High Speed Liquid Jet Impaction on a Moving Surface
08:34

Visualization of High Speed Liquid Jet Impaction on a Moving Surface

Published on: April 17, 2015

11.5K