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 Evidence for Evolution02:55

The Evidence for Evolution

48.3K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
48.3K
Convergent Evolution01:54

Convergent Evolution

33.0K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
33.0K
Other Unique Bacteria01:18

Other Unique Bacteria

449
Magnetic bacteria exhibit a directed movement called magnetotaxis, driven by structures called magnetosomes. These magnetosomes consist of chains of magnetic particles made of either magnetite (Fe₃O₄) or greigite (Fe₃S₄) and are organized in a linear conformation by a protein scaffold within invaginations of the cell membrane. The bacteria align along the north–south magnetic field lines, much like a compass needle. They are typically microaerophilic or anaerobic...
449
Second Uniqueness Theorem01:16

Second Uniqueness Theorem

2.7K
Consider a region consisting of several individual conductors with a definite charge density in the region between these conductors. The second uniqueness theorem states that if the total charge on each conductor and the charge density in the in-between region are known, then the electric field can be uniquely determined.
In contrast, consider that the electric field is non-unique and apply Gauss's law in divergence form in the region between the conductors and the integral form to the surface...
2.7K
Eukaryotic Evolution01:24

Eukaryotic Evolution

42.1K
The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
42.1K
Synteny and Evolution02:31

Synteny and Evolution

3.8K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.8K

You might also read

Related Articles

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

Sort by
Same author

Elemental fingerprint: Reassessment of a cerebrospinal fluid biomarker for Parkinson's disease.

Neurobiology of disease·2019
Same author

Evaluating Life Expectancy Evaluations.

North American actuarial journal : NAAJ·2019
Same author

DEGAM criteria catalogue for training practices in primary care--a proposal for the assessment of the structural quality of training practices.

GMS Zeitschrift fur medizinische Ausbildung·2014
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Molecular Evolution of the Tre Recombinase
12:02

Molecular Evolution of the Tre Recombinase

Published on: May 29, 2008

10.1K

Extension, Compression, and Beyond: A Unique Classification System for Mortality Evolution Patterns.

Matthias Börger1, Martin Genz2,3, Jochen Ruß1,4

  • 1Institut für Finanz- und Aktuarwissenschaften (ifa), Lise-Meitner-Straße 14, 89081, Ulm, Germany.

Demography
|June 22, 2018
PubMed
Summary

This study introduces a new framework to classify how death patterns change as life expectancy grows. It clarifies terms like mortality extension and compression, offering a precise way to analyze population mortality trends.

Keywords:
CompressionExtensionMortality scenario classificationRectangularizationShifting mortality

More Related Videos

Author Spotlight: Novel Intraperitoneal Injection Method for Zebrafish Cardiotoxicity Models
02:32

Author Spotlight: Novel Intraperitoneal Injection Method for Zebrafish Cardiotoxicity Models

Published on: March 29, 2024

3.0K
VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
15:07

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

27.3K

Related Experiment Videos

Last Updated: Feb 8, 2026

Molecular Evolution of the Tre Recombinase
12:02

Molecular Evolution of the Tre Recombinase

Published on: May 29, 2008

10.1K
Author Spotlight: Novel Intraperitoneal Injection Method for Zebrafish Cardiotoxicity Models
02:32

Author Spotlight: Novel Intraperitoneal Injection Method for Zebrafish Cardiotoxicity Models

Published on: March 29, 2024

3.0K
VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
15:07

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

27.3K

Area of Science:

  • Demography
  • Epidemiology
  • Biostatistics

Background:

  • Existing literature on mortality changes with increasing life expectancy often uses vague terminology (e.g., extension, compression, rectangularization).
  • Current statistical methods for detecting mortality scenarios can be misleading due to mixed scenarios and age range impacts.
  • A clear classification system is needed to accurately analyze evolving mortality patterns.

Purpose of the Study:

  • To establish a unique and comprehensive classification framework for realized mortality scenarios.
  • To enable the detection of both pure and mixed mortality scenarios over time.
  • To provide a method for assigning a unique scenario to observed mortality evolutions and differentiating scenarios across age ranges.

Main Methods:

  • Development of a novel classification framework to analyze changes in the age distribution of deaths.
  • The framework identifies elements of extension/contraction, compression/decompression, left/right-shifting mortality, and concentration/diffusion.
  • Application of the framework to mortality data for U.S. females to demonstrate its utility.

Main Results:

  • The proposed framework successfully classifies realized mortality scenarios, distinguishing between pure and mixed types.
  • It accurately identifies specific mortality pattern changes, such as extension, compression, and shifts in mortality.
  • The methodology allows for the detection of different mortality scenarios within distinct age ranges of the same population.

Conclusions:

  • The established framework offers a precise and versatile tool for analyzing complex mortality dynamics.
  • It overcomes the limitations of vague terminology and potentially misleading statistics in previous studies.
  • The approach provides a robust method for understanding population health trajectories and informing public health strategies.