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Related Concept Videos

Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
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Pore Transport and Ion-Pair Transport01:17

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Pore transport and ion-pair formation are critical mechanisms for the absorption and distribution of drugs in the body.
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Carrier Transport01:21

Carrier Transport

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Reynolds Transport Theorem

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Related Experiment Video

Updated: Jun 2, 2026

Transport of Surface-modified Carbon Nanotubes through a Soil Column
10:26

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Published on: April 2, 2015

Transport on exploding percolation clusters.

José S Andrade1, Hans J Herrmann, André A Moreira

  • 1Departamento de Fĺsica, Universidade Federal do Ceará, 60451-970 Fortaleza, Ceará, Brazil.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 27, 2011
PubMed
Summary
This summary is machine-generated.

We introduce a generalized explosive percolation model where bond selection depends on cluster sizes. Intermediate values of q surprisingly worsen conductivity by inhibiting loops and reducing the conducting backbone.

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Area of Science:

  • Statistical Physics
  • Complex Networks
  • Percolation Theory

Background:

  • Explosive percolation models exhibit unique phase transitions.
  • Understanding structural and transport properties is crucial for complex systems.

Purpose of the Study:

  • To generalize the explosive percolation process by introducing a parameter q.
  • To investigate the impact of q on structural and transport properties.

Main Methods:

  • A modified explosive percolation model where q bonds are considered.
  • Bond selection is based on the product of potential cluster sizes.
  • Analysis of finite-size scaling exponents and global conductance.

Main Results:

  • Finite-size scaling exponents for spanning clusters, backbones, and conductance change with q.
  • Systems with intermediate q show the poorest conductivity.
  • Loop inhibition in the spanning cluster leads to a reduced conducting backbone.

Conclusions:

  • The generalized explosive percolation model exhibits tunable properties with parameter q.
  • Intermediate q values present a trade-off between cluster formation and conductivity.
  • The study provides insights into the design of conductive networks.