A new method for the precise determination of h/e

1955 ◽  
Vol 4 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Kai Siegbahn
Keyword(s):  
Precise Determination ◽  
New Method

A New Method for the precise Determination of the Excess Gibbs Function of a Liquid Mixture

Nature ◽  
1965 ◽  
Vol 206 (4985) ◽  
pp. 710-710 ◽  
Author(s):  
D. T. DIXON ◽  
M. L. MCGLASHAN
Keyword(s):  
Liquid Mixture ◽  
Precise Determination ◽  
New Method ◽  
Gibbs Function

New Method for Precise Determination of the Isovector Giant Quadrupole Resonances in Nuclei

2011 ◽  
Vol 107 (22) ◽  
Author(s):  
S. S. Henshaw ◽  
M. W. Ahmed ◽  
G. Feldman ◽  
A. M. Nathan ◽  
H. R. Weller
Keyword(s):  
Precise Determination ◽  
New Method

New method for precise determination of neutron beam polarization

1995 ◽  
Vol 357 (2-3) ◽  
pp. 503-510 ◽  
Author(s):  
A.P. Serebrov ◽  
A.V. Aldushchenkov ◽  
M.S. Lasakov ◽  
I.A. Kuznetsov ◽  
I.V. Stepanenko
Keyword(s):  
Neutron Beam ◽  
Precise Determination ◽  
New Method ◽  
Beam Polarization

scholarly journals Novel visual analytics approach for chromosome territory analysis

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12661
Author(s):  
Magdalena A. Tkacz ◽  
Kornel Chromiński ◽  
Dominika Idziak-Helmcke ◽  
Ewa Robaszkiewicz
Keyword(s):  
Visual Analytics ◽  
Chromosome Territory ◽  
Precise Determination ◽  
New Method ◽  
Chromosome Territories ◽  
Short Introduction ◽  
3D Space ◽  
Novel Method

This document presents a new and improved, more intuitive version of a novel method for visually representing the location of objects relative to each other in 3D. The motivation and inspiration for developing this new method came from the necessity for objective chromosome territory (CT) adjacency analysis. The earlier version, Distance Profile Chart (DPC), used octants for 3D orientation. This approach did not provide the best 3D space coverage since space was divided into just eight cones and was not intuitive with regard to orientation in 3D. However, the version presented in this article, called DPC12, allows users to achieve better space coverage during conification since space is now divided into twelve cones. DPC12 is faster than DPC and allows for a more precise determination of the location of objects in 3D. In this article a short introduction about the conification idea is presented. Then we explain how DPC12 is designed and created. After that, we show DPC12 on an instructional dataset to make it easier to understand and demonstrate how they appear and how to read them. Finally, using DPC12 we present an example of an adjacency analysis (AA) using the model of Chromosome Territories (CTs) distribution in the rice nucleus.

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