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

The Representativeness Heuristic02:13

The Representativeness Heuristic

16.7K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.7K
Conservation of Small Populations02:04

Conservation of Small Populations

16.7K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
16.7K
What is Population Genetics?01:25

What is Population Genetics?

64.5K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
64.5K
Population Growth00:57

Population Growth

28.0K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
28.0K
Diversity of Archaea I01:30

Diversity of Archaea I

560
Archaea, a domain of single-celled microorganisms, are classified into five major phyla based on genetic and biochemical characteristics: Euryarchaeota, Crenarchaeota, Thaumarchaeota, Korarchaeota, and Nanoarchaeota. Among these, the phylum Euryarchaeota is notable for its remarkable diversity in morphology, metabolism, and ecological adaptations.Morphological and Metabolic DiversityMembers of Euryarchaeota exhibit a variety of cellular shapes, including rods and cocci. Their metabolic pathways...
560
Diversity of Archaea II01:24

Diversity of Archaea II

463
Archaea, one of the three domains of life, exhibit remarkable diversity and adaptability, thriving in both extreme and moderate environments. Historically, most identified archaea have been classified into two major phyla: Euryarchaeota and Crenarchaeota. However, recent molecular studies have expanded this classification to include three additional phyla: Thaumarchaeota, Nanoarchaeota, and Korarchaeota, each exhibiting unique characteristics and ecological roles.Thaumarchaeota: Mesophiles...
463

You might also read

Related Articles

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

Sort by
Same authorSame journal

Crash injury assessment for wheelchair users using parametric human models and scalable manual wheelchair finite element models.

Traffic injury prevention·2026
Same author

Effect of medium and tall hood leading edge vehicle front-end characteristics on pedestrian torso injuries.

Traffic injury prevention·2026
Same author

Predicting head impact conditions in vehicle-to-pedestrian impacts through computational human modeling.

Traffic injury prevention·2025
Same author

Exploring advanced restraint technologies for improving safety equity for rear-seat occupants using diverse human body models.

Traffic injury prevention·2025
Same author

Efficient injury risk predictions for a diverse population using parametric human modeling and inducing points in Gaussian processes.

Traffic injury prevention·2024
Same author

Development and validation of a set of wheelchair finite element models in frontal, side, and rear impact conditions.

Traffic injury prevention·2024

Related Experiment Video

Updated: Jan 21, 2026

Precision Measurements and Parametric Models of Vertebral Endplates
10:35

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.8K

Frontal crash simulations using parametric human models representing a diverse population.

Jingwen Hu1, Kai Zhang1, Matthew P Reed1

  • 1a University of Michigan Transportation Research Institute , Ann Arbor , Michigan.

Traffic Injury Prevention
|August 6, 2019
PubMed
Summary
This summary is machine-generated.

Older, obese, and female occupants face higher frontal crash injury risks. Parametric human models revealed age, sex, and BMI significantly impact injury, highlighting needs for adaptive restraint systems for diverse populations.

Keywords:
Parametric human modeldiverse populationfrontal crashesinjury riskmesh morphingobese occupantolder occupant

More Related Videos

A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.3K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.1K

Related Experiment Videos

Last Updated: Jan 21, 2026

Precision Measurements and Parametric Models of Vertebral Endplates
10:35

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.8K
A Model to Simulate Clinically Relevant Hypoxia in Humans
09:54

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

9.3K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.1K

Area of Science:

  • Biomechanics
  • Human Factors Engineering
  • Computational Modeling

Background:

  • Crash data indicates elevated injury risks for older, obese, and female occupants in frontal collisions.
  • Existing anthropomorphic test devices (ATDs) may not adequately represent the diversity of the human population.

Purpose of the Study:

  • To assess increased injury risks for vulnerable populations using parametric finite element (FE) human models.
  • To identify specific safety concerns for older, obese, and/or female occupants in frontal crashes.

Main Methods:

  • Developed 100 diverse parametric FE human models based on age, sex, stature, and BMI.
  • Utilized statistical geometry and mesh morphing techniques to create models from the GHBMC M50-OS.
  • Simulated frontal crashes using U.S. NCAP protocols and adjusted injury risk curves for body size and age.

Main Results:

  • Occupant stature and body shape significantly influence interactions with restraints, kinematics, and injury risks.
  • U-shaped relationships observed between occupant stature/weight and head injury risk.
  • Chest injury risk strongly correlated with age and sex, with older females at highest risk; BMI correlated with knee-thigh-hip injury risk.

Conclusions:

  • Parametric human models effectively predict population-specific injury trends in frontal crashes.
  • This study is the first to investigate combined demographic effects on injury risks using diverse FE models.
  • Findings support the development of adaptive restraint systems to enhance crash safety for all occupants.