scholarly journals A comparison of dynamical fluctuations of biased diffusion and run-and-tumble dynamics in one dimension

2019 ◽  
Vol 52 (42) ◽  
pp. 425002 ◽  
Author(s):  
Emil Mallmin ◽  
Richard A Blythe ◽  
Martin R Evans
Keyword(s):  
One Dimension ◽  
Run And Tumble ◽  
Biased Diffusion ◽  
Dynamical Fluctuations

scholarly journals Current fluctuations in noninteracting run-and-tumble particles in one dimension

2020 ◽  
Vol 101 (5) ◽  
Author(s):  
Tirthankar Banerjee ◽  
Satya N. Majumdar ◽  
Alberto Rosso ◽  
Grégory Schehr
Keyword(s):  
One Dimension ◽  
Current Fluctuations ◽  
Run And Tumble

scholarly journals Run-and-tumble particle in inhomogeneous media in one dimension

2020 ◽  
Vol 2020 (8) ◽  
pp. 083207 ◽  
Author(s):  
Prashant Singh ◽  
Sanjib Sabhapandit ◽  
Anupam Kundu
Keyword(s):  
Inhomogeneous Media ◽  
One Dimension ◽  
Run And Tumble

scholarly journals Steady state, relaxation and first-passage properties of a run-and-tumble particle in one-dimension

2018 ◽  
Vol 2018 (4) ◽  
pp. 043215 ◽  
Author(s):  
Kanaya Malakar ◽  
V Jemseena ◽  
Anupam Kundu ◽  
K Vijay Kumar ◽  
Sanjib Sabhapandit ◽  
...  
Keyword(s):  
Steady State ◽  
One Dimension ◽  
First Passage ◽  
Run And Tumble

scholarly journals Gap statistics of two interacting run and tumble particles in one dimension

2020 ◽  
Vol 53 (34) ◽  
pp. 345003 ◽  
Author(s):  
Arghya Das ◽  
Abhishek Dhar ◽  
Anupam Kundu
Keyword(s):  
One Dimension ◽  
Run And Tumble

Reconstruction of Objects from their Projections Using Orthogonal Functions

1973 ◽  
Vol 31 ◽  
pp. 268-269
Author(s):  
Elrnar Zeitler
Keyword(s):  
Unit Area ◽  
Three Dimensional ◽  
One Dimension ◽  
Spatial Density ◽  
Dimensional Representation ◽  
Orthogonal Functions ◽  
Object A ◽  
Plane Normal ◽  
Dimensional Object ◽  
Spatial Density Distribution

Considering any finite three-dimensional object, a “projection” is here defined as a two-dimensional representation of the object's mass per unit area on a plane normal to a given projection axis, here taken as they-axis. Since the object can be seen as being built from parallel, thin slices, the relation between object structure and its projection can be reduced by one dimension. It is assumed that an electron microscope equipped with a tilting stage records the projectionWhere the object has a spatial density distribution p(r,ϕ) within a limiting radius taken to be unity, and the stage is tilted by an angle 9 with respect to the x-axis of the recording plane.

Quantitative Diameter Measurements of Chromatin and TMV Fibers in the Freeze-Dried State

1988 ◽  
Vol 46 ◽  
pp. 170-171
Author(s):  
B. D. Athey ◽  
A. L. Stout ◽  
M. F. Smith ◽  
J. P. Langmore
Keyword(s):  
Reliable Method ◽  
Fiber Diameter ◽  
Quantitative Agreement ◽  
One Dimension ◽  
Fiber Axis ◽  
Two Dimensional ◽  
Fiber Density ◽  
Variable Diameter ◽  
Freeze Dried ◽  
Expected Values

Although there is general agreement that Inactive chromosome fibers consist of helically packed nucleosomes, the pattern of packing is still undetermined. Only one of the proposed models, the crossed-linker model, predicts a variable diameter dependent on the length of DNA between nucleosomes. Measurements of the fiber diameter of negatively-stained and frozen- hydrated- chromatin from Thyone sperm (87bp linker) and Necturus erythrocytes (48bp linker) have been previously reported from this laboratory. We now introduce a more reliable method of measuring the diameters of electron images of fibrous objects. The procedure uses a modified version of the computer program TOTAL, which takes a two-dimensional projection of the fiber density (represented by the micrograph itself) and projects it down the fiber axis onto one dimension. We illustrate this method using high contrast, in-focus STEM images of TMV and chromatin from Thyone and Necturus. The measured diameters are in quantitative agreement with the expected values for the crossed-linker model for chromatin structure

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