How to use instant relaxation methods

1995 ◽  
Vol 10 (14) ◽  
pp. 23-25 ◽  
Author(s):  
Rosemary Payne
Keyword(s):  
2016 ◽  
Vol 51 (1) ◽  
pp. 209-223 ◽  
Author(s):  
Shu-Lin Wu ◽  
Mohammad D. Al-Khaleel

1984 ◽  
Vol 30 (2) ◽  
pp. 147-162 ◽  
Author(s):  
Jean-Louis Goffin

1995 ◽  
Vol 74 (5) ◽  
pp. 1225-1235
Author(s):  
I. V. Konnov

1987 ◽  
Vol 61 (2) ◽  
pp. 623-629 ◽  
Author(s):  
Ronald G. Green ◽  
Marsha L. Green

While research indicates that high stress may be immunosuppressive, little is known about the effects of relaxation on the immune system. To determine whether relaxation is immunoenhancing, 50 volunteer college students were randomly assigned to one of four relaxation methods (Benson's relaxation response, guided visualization, massage, lying quietly with eyes closed, or a touching-control group). Salivary immunoglobulin A (S-IgA) and salivary Cortisol levels were recorded before and after one 20-min. relaxation session. Subjects in the relaxation response, visualization, and massage groups showed a significant increase in S-IgA concentrations from the before to the after relaxation samples. Also, post-relaxation S-IgA concentrations were significantly higher in the relaxation response, visualization, and massage groups than in the touching-control group. Salivary Cortisol did not change significantly. These data suggest that one component of the immune system, S-IgA, may be enhanced by the practice of a coping skill such as relaxation.


Optimization ◽  
1992 ◽  
Vol 23 (3) ◽  
pp. 261-268 ◽  
Author(s):  
T. Roubíček

1949 ◽  
Vol 16 (2) ◽  
pp. 139-148
Author(s):  
R. P. Eddy ◽  
F. S. Shaw

Abstract Using relaxation methods, an approximate numerical solution is found of the stress distribution in a shaft of rotational symmetry, which is subjected to a torque of sufficient magnitude to cause portions of the material to yield. It is assumed that the material of which the shaft is composed is isotropic and yields according to the condition of von Mises. The particular problem investigated is a shaft with a collar; results are presented showing the elastoplastic boundary, and the stress distribution, for two different amounts of plastic deformation.


2018 ◽  
Vol 2 (1) ◽  
pp. 93-105 ◽  
Author(s):  
Fa-An Chao ◽  
R. Andrew Byrd

Structural biology often focuses primarily on three-dimensional structures of biological macromolecules, deposited in the Protein Data Bank (PDB). This resource is a remarkable entity for the worldwide scientific and medical communities, as well as the general public, as it is a growing translation into three-dimensional space of the vast information in genomic databases, e.g. GENBANK. There is, however, significantly more to understanding biological function than the three-dimensional co-ordinate space for ground-state structures of biomolecules. The vast array of biomolecules experiences natural dynamics, interconversion between multiple conformational states, and molecular recognition and allosteric events that play out on timescales ranging from picoseconds to seconds. This wide range of timescales demands ingenious and sophisticated experimental tools to sample and interpret these motions, thus enabling clearer insights into functional annotation of the PDB. NMR spectroscopy is unique in its ability to sample this range of timescales at atomic resolution and in physiologically relevant conditions using spin relaxation methods. The field is constantly expanding to provide new creative experiments, to yield more detailed coverage of timescales, and to broaden the power of interpretation and analysis methods. This review highlights the current state of the methodology and examines the extension of analysis tools for more complex experiments and dynamic models. The future for understanding protein dynamics is bright, and these extended tools bring greater compatibility with developments in computational molecular dynamics, all of which will further our understanding of biological molecular functions. These facets place NMR as a key component in integrated structural biology.


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