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

Protein Networks02:26

Protein Networks

3.0K
3.0K
Protein Networks02:26

Protein Networks

4.7K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.7K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

548
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
548
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

886
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
886
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

3.1K
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
3.1K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.2K
2.2K

You might also read

Related Articles

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

Sort by
Same author

Over-Expression of AtATG8h Enhances Resistance Against Biotrophic Pathogens but Compromises Resistance Against Necrotrophic Pathogen in Arabidopsis.

Physiologia plantarum·2026
Same author

Comparison of epilepsy mouse models induced by kainic acid through different administration routes.

Brain research bulletin·2025
Same author

Coordination of network heterogeneity and individual preferences promotes collective fairness.

Patterns (New York, N.Y.)·2025
Same author

Multilocular cystic renal neoplasm of low malignant potential: A case report.

Asian journal of surgery·2024
Same author

A case of retroperitoneal hyaline-vascular Castleman disease presenting initially with anemia.

Asian journal of surgery·2024
Same author

Substantia Innominata Glutamatergic Neurons Modulate Sevoflurane Anesthesia in Male Mice.

Anesthesia and analgesia·2024
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Apr 18, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K

Robust reconstruction of complex networks from sparse data.

Xiao Han1, Zhesi Shen1, Wen-Xu Wang1

  • 1School of Systems Science, Beijing Normal University, Beijing 100875, People's Republic of China.

Physical Review Letters
|January 31, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a robust framework for reconstructing complex networks from limited, noisy data. The method accurately decodes network structures even with missing node information, advancing network science.

More Related Videos

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.5K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

644

Related Experiment Videos

Last Updated: Apr 18, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.5K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

644

Area of Science:

  • Network Science
  • Complex Systems
  • Data Analysis

Background:

  • Reconstructing complex networks is crucial for understanding system dynamics.
  • Challenges include limited, noisy data and inaccessible nodes.

Purpose of the Study:

  • Develop a general framework for robust complex network reconstruction.
  • Address challenges of sparse, noisy data and missing node information.

Main Methods:

  • Decompose network reconstruction into local structure recovery.
  • Utilize sparse signal reconstruction via the LASSO (Least Absolute Shrinkage and Selection Operator) method.

Main Results:

  • Achieved high reconstruction accuracy from sparse, noisy data across various network types.
  • Demonstrated robustness despite noise in time series and missing node data.

Conclusions:

  • The developed framework offers a general and robust approach to network reconstruction.
  • Potential applications span evolutionary games, transportation, and communication systems.