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

Predator-Prey Interactions02:39

Predator-Prey Interactions

21.2K
Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
21.2K
Phase Transitions02:31

Phase Transitions

22.8K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
22.8K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

8.7K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
8.7K
Properties of Transition Metals02:58

Properties of Transition Metals

29.7K
Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.
29.7K
Phase Transitions: Vaporization and Condensation02:39

Phase Transitions: Vaporization and Condensation

20.7K
The physical form of a substance changes on changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. Vaporization occurs when the thermal motion of the molecules overcome the intermolecular forces, and the molecules (at the surface) escape into the gaseous state. When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules...
20.7K
Phase Transitions: Sublimation and Deposition02:33

Phase Transitions: Sublimation and Deposition

19.8K
Some solids can transition directly into the gaseous state, bypassing the liquid state, via a process known as sublimation. At room temperature and standard pressure, a piece of dry ice (solid CO2) sublimes, appearing to gradually disappear without ever forming any liquid. Snow and ice sublimate at temperatures below the melting point of water, a slow process that may be accelerated by winds and the reduced atmospheric pressures at high altitudes. When solid iodine is warmed, the solid sublimes...
19.8K

You might also read

Related Articles

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

Sort by
Same author

New patterns of family formation in Italy. Which tools for which interpretations?

Genus·1996
Same author

Alternative approaches to fertility transition.

Polish population review·1995
Same author

Exploring theoretical frameworks for the analysis of fertility fluctuations.

European journal of population = Revue europeenne de demographie·1988
Same author

[Estimating planning parameters in demographic mobility and development analysis].

Giornale degli economisti e annali di economia·1978
Same journal

[Application of Time-Series Analysis to the Projection of School Enrollments by Cohort].

Cahiers quebecois de demographie·2016
Same journal

[Free unions in sub-Saharan Africa].

Cahiers quebecois de demographie·2002
Same journal

[The free union in Latin America: recent aspects of a secular phenomenon].

Cahiers quebecois de demographie·2002
Same journal

[Demographic aging and participation of the elderly in the financing of health and social expenses].

Cahiers quebecois de demographie·2002
Same journal

[Demographic situation of the Innus of Quebec, 1973 to 1993].

Cahiers quebecois de demographie·2002
Same journal

[The study of unions in demography: from categories to process].

Cahiers quebecois de demographie·2002
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

Live-Cell Imaging of the Life Cycle of Bacterial Predator Bdellovibrio bacteriovorus using Time-Lapse Fluorescence Microscopy
08:56

Live-Cell Imaging of the Life Cycle of Bacterial Predator Bdellovibrio bacteriovorus using Time-Lapse Fluorescence Microscopy

Published on: May 8, 2020

9.0K

[Post-transitional cycles and prey-predator models].

G A Micheli

    Cahiers Quebecois De Demographie
    |October 1, 1988
    PubMed
    Summary
    This summary is machine-generated.

    This study evaluates mathematical models for fertility fluctuations post-demographic transition. It compares demographic 'cinematics' models, like Easterlin, with 'dynamics' models, such as Volterra's prey-predator, assessing their logical consistency.

    Keywords:
    Cyclic AnalysisDemographic FactorsEasterlin HypothesisEconomic FactorsFertilityMathematical ModelMicroeconomic FactorsModels, TheoreticalPopulationPopulation DynamicsResearch MethodologyWorld

    More Related Videos

    Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey
    12:24

    Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey

    Published on: August 29, 2014

    11.3K
    Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter
    10:20

    Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter

    Published on: March 12, 2013

    14.0K

    Related Experiment Videos

    Last Updated: Jan 23, 2026

    Live-Cell Imaging of the Life Cycle of Bacterial Predator Bdellovibrio bacteriovorus using Time-Lapse Fluorescence Microscopy
    08:56

    Live-Cell Imaging of the Life Cycle of Bacterial Predator Bdellovibrio bacteriovorus using Time-Lapse Fluorescence Microscopy

    Published on: May 8, 2020

    9.0K
    Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey
    12:24

    Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey

    Published on: August 29, 2014

    11.3K
    Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter
    10:20

    Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter

    Published on: March 12, 2013

    14.0K

    Area of Science:

    • Demography
    • Mathematical Biology
    • Population Dynamics

    Context:

    • Analysis of fertility fluctuations after the demographic transition.
    • Existing models fall into two categories: demographic 'cinematics' and reproduction system 'dynamics'.

    Purpose:

    • To investigate the logical consistency of mathematical models used in fertility analysis.
    • To compare the 'cinematics' and 'dynamics' approaches to modeling fertility.

    Summary:

    • Examines the Easterlin model (cinematics) and Volterra's prey-predator model (dynamics).
    • Discusses the operationalization of dynamic models for fertility analysis.
    • Assesses the logical coherence of different mathematical frameworks for understanding fertility changes.

    Impact:

    • Provides a critical evaluation of established fertility modeling techniques.
    • Highlights the strengths and limitations of cinematic versus dynamic approaches.
    • Informs future research on mathematical modeling in demography and population studies.