Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Evolution of New Traits in Microbes

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...

Fast Decoupled and DC Powerflow

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

Trophic Efficiency

Trophic Efficiency

Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.

Stability of structures

Stability of structures

In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...

Cyclic Processes And Isolated Systems

Cyclic Processes And Isolated Systems

A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state.
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each path...

You might also read

Related Articles

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

Sort by

Same author

ProkBERT PhaStyle: accurate phage lifestyle prediction with pretrained genomic language models.

Bioinformatics advances·2025

Same author

Smart epidemic control: A hybrid model blending ODEs and agent-based simulations for optimal, real-world intervention planning.

PLoS computational biology·2025

Same author

Wastewater-based modeling, reconstruction, and prediction for COVID-19 outbreaks in Hungary caused by highly immune evasive variants.

Water research·2023

Same author

Author Correction: Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia.

Nature communications·2022

Same author

Microsimulation based quantitative analysis of COVID-19 management strategies.

PLoS computational biology·2022

Same author

COVID-19 Infection Alters the Microbiome: Elite Athletes and Sedentary Patients Have Similar Bacterial Flora.

Genes·2021

Search research articles

Related Experiment Videos

Evolution of robust and efficient system topologies.

Sergiu Netotea¹, Sándor Pongor

¹Bioinformatics Group, Biological Research Centre, Hungarian Academy of Sciences, Temesvári krt. 62, H-6701 Szeged, Hungary.

Cellular Immunology

|April 17, 2007

Summary

Mutation/selection algorithms optimized sparse random networks for efficiency and robustness. Focusing on efficiency yielded star topologies, while robustness favored dense cores. Balancing both created networks with varied center/periphery characteristics.

Related Experiment Videos

Area of Science:

Network Science
Computational Biology
Systems Biology

Background:

Sparse random networks are fundamental in various scientific domains.
Optimizing network efficiency and robustness is crucial for understanding complex systems.
Existing network topologies may not optimally balance these competing properties.

Purpose of the Study:

To investigate the impact of mutation/selection algorithms on sparse random network properties.
To determine how selection for efficiency and robustness individually and concurrently affects network topology.
To explore the evolution of network structures under different attack scenarios.

Main Methods:

Application of mutation/selection algorithms to sparse random networks.
Comparative analysis of network topologies resulting from selection for efficiency, robustness, or both.
Simulation of network evolution under single and multiple attack regimes.

Main Results:

Selection for efficiency alone resulted in star topologies.
Selection for robustness alone led to dense cores and small peripheries.
Concurrent selection for both efficiency and robustness produced networks with intermittent center/periphery characteristics.
Networks under multiple attack regimes exhibited larger cores and distinct parameter distributions compared to single-attack regimes.

Conclusions:

Mutation/selection algorithms can effectively tune network topology for desired properties.
A trade-off exists between efficiency and robustness, with combined selection yielding balanced structures.
Network resilience to diverse threats influences the development of more robust, centralized topologies.