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

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
Evolutionary Processes in Microbes01:26

Evolutionary Processes in Microbes

Microbial evolution occurs rapidly due to short generation times and a variety of genetic processes, including horizontal gene transfer, mutation, recombination, and genetic drift. These mechanisms collectively enable microbes to adapt swiftly to changing environments.Horizontal gene transfer (HGT) allows genes to move between different species and occurs through three main mechanisms: conjugation, transformation, and transduction. Conjugation involves direct cell-to-cell contact for DNA...
Evolution of New Traits in Microbes01:24

Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Evolutionary Psychology01:20

Evolutionary Psychology

Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the human psyche...
Machines: Problem Solving II01:30

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.

You might also read

Related Articles

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

Sort by
Same author

Editorial: Towards an emerging science of customer loyalty to retail stores: explanation, drivers, and frameworks.

Frontiers in psychology·2024
Same author

Exploring Italian Wine Companies: A Study of Supply Chain Dynamics, Quality, and Promotion Strategies through Semi-Structured Interviews.

Foods (Basel, Switzerland)·2023
Same author

Organizational and Supply Chain Impacts of 3D Printers Implementation in the Medical Sector.

International journal of environmental research and public health·2022
Same author

Testing the Effectiveness of the Health Belief Model in Predicting Preventive Behavior During the COVID-19 Pandemic: The Case of Romania and Italy.

Frontiers in psychology·2022
Same author

Protein structural robustness to mutations: an in silico investigation.

Physical chemistry chemical physics : PCCP·2015
Same author

Intermolecular β-strand networks avoid hub residues and favor low interconnectedness: a potential protection mechanism against chain dissociation upon mutation.

PloS one·2014
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: Jul 3, 2026

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

Evolutionary model with Turing machines.

Giovanni Feverati1, Fabio Musso

  • 1Laboratoire de Physique Theorique LAPTH, CNRS, UMR 5108, associé à l'Université de Savoie, 9, Chemin de Bellevue, Boîte Postale 110, 74941, Annecy le Vieux Cedex, France. feverati@lapp.in2p3.fr

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 23, 2008
PubMed
Summary
This summary is machine-generated.

A large inactive DNA fraction aids complex code evolution in eukaryotes and evolutionary computations. Computer simulations suggest noncoding states provide a long-term evolutionary advantage for complex code development.

More Related Videos

A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution
05:08

A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution

Published on: January 12, 2024

Related Experiment Videos

Last Updated: Jul 3, 2026

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution
05:08

A Practical Guide to Phage- and Robotics-Assisted Near-Continuous Evolution

Published on: January 12, 2024

Area of Science:

  • Evolutionary biology
  • Computational intelligence
  • Genomics

Background:

  • Eukaryotic DNA features a substantial noncoding fraction.
  • Evolutionary computation often exhibits code bloat.
  • A similarity exists between these phenomena.

Purpose of the Study:

  • To investigate the hypothesis that a large inactive fraction is necessary for complex code evolution.
  • To explore the relationship between fitness, coding/noncoding ratio, and evolutionary parameters.

Main Methods:

  • Computer simulations of a toy evolutionary model for Turing machines.
  • Analysis of fitness, coding vs. noncoding ratio.
  • Variation of mutation and code growth rates.

Main Results:

  • The study observed a positive correlation between noncoding fraction and evolutionary advantage.
  • A large reservoir of noncoding states was found to be beneficial in the long term.
  • Fitness was influenced by the balance of coding and noncoding elements.

Conclusions:

  • Maintaining a large inactive fraction is crucial for the evolution of complex codes.
  • Noncoding DNA may play a vital role in evolutionary processes beyond gene regulation.
  • The findings support the necessity of noncoding elements for evolutionary complexity.