Data-Aware Modeling of Elastic Processes for Elasticity Strategies Evaluation

2017 ◽  
Author(s):  
Aicha Ben Jrada ◽  
Sami Bhiria ◽  
Samir Tata
Keyword(s):  
Elastic Processes

Inelastic Electron-Matter Interactions

1978 ◽  
Vol 36 (3) ◽  
pp. 259-267
Author(s):  
J. Silcox
Keyword(s):  
Electron Microscope ◽  
Energy Loss ◽  
Chemical Structure ◽  
Inelastic Electron ◽  
Primary Concern ◽  
Unique Probe ◽  
Introductory Paper ◽  
Elastic Processes ◽  
Experimental Level ◽  
Inelastic Processes

In this introductory paper, my primary concern will be in identifying and outlining the various types of inelastic processes resulting from the interaction of electrons with matter. Elastic processes are understood reasonably well at the present experimental level and can be regarded as giving information on spatial arrangements. We need not consider them here. Inelastic processes do contain information of considerable value which reflect the electronic and chemical structure of the sample. In combination with the spatial resolution of the electron microscope, a unique probe of materials is finally emerging (Hillier 1943, Watanabe 1955, Castaing and Henri 1962, Crewe 1966, Wittry, Ferrier and Cosslett 1969, Isaacson and Johnson 1975, Egerton, Rossouw and Whelan 1976, Kokubo and Iwatsuki 1976, Colliex, Cosslett, Leapman and Trebbia 1977). We first review some scattering terminology by way of background and to identify some of the more interesting and significant features of energy loss electrons and then go on to discuss examples of studies of the type of phenomena encountered. Finally we will comment on some of the experimental factors encountered.

scholarly journals s-Channel Helicity Conservation in Elastic Processes

1972 ◽  
Vol 5 (11) ◽  
pp. 2864-2868
Author(s):  
Paul Langacker
Keyword(s):  
Helicity Conservation ◽  
Elastic Processes

scholarly journals Developing the Concepts of Homeostasis, Homeorhesis, Allostasis, Elasticity, Flexibility and Plasticity of Brain Function

NeuroSci ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 372-382
Author(s):  
Alfredo Pereira
Keyword(s):  
Brain Function ◽  
Complex Dynamics ◽  
Stable States ◽  
Set Point ◽  
Brain Functions ◽  
Temporal Phase ◽  
The Central Nervous System ◽  
Elastic Processes ◽  
And Control ◽  
Flexible Processes

I discuss some concepts advanced for the understanding of the complex dynamics of brain functions, and relate them to approaches in affective, cognitive and action neurosciences. These functions involve neuro-glial interactions in a dynamic system that receives sensory signals from the outside of the central nervous system, processes information in frequency, amplitude and phase-modulated electrochemical waves, and control muscles and glands to generate behavioral patterns. The astrocyte network is in charge of controlling global electrochemical homeostasis, and Hodgkin–Huxley dynamics drive the bioelectric homeostasis of single neurons. In elastic processes, perturbations cause instability, but the system returns to the basal equilibrium. In allostatic processes, perturbations elicit a response from the system, reacting to the deviation and driving the system to stable states far from the homeostatic equilibrium. When the system does not return to a fixed point or region of the state space, the process is called homeorhetic, and may present two types of evolution: (a) In flexible processes, there are previously existing “attractor” stable states that may be achieved after the perturbation, depending on context; (b) In plastic processes, the homeostatic set point(s) is(are) changed; the system is in a process of adaptation, in which the allostatic forces do not drive it back to the previous set point, but project to the new one. In the temporal phase from the deviant state to the recovery of stability, the system generates sensations that indicate if the recovery is successful (pleasure-like sensations) or if there is a failure (pain-like sensations).

Highlighting delayed elastic processes at zero stress in a polymer glass

2015 ◽  
Vol 64 (10) ◽  
pp. 1303-1308 ◽  
Author(s):  
Souad Mbarek ◽  
Patrick Baroni ◽  
Laurence Noirez
Keyword(s):  
Polymer Glass ◽  
Elastic Processes

Quasi-elastic processes in theSi28+40Ca reaction at 225 MeV

1986 ◽  
Vol 33 (4) ◽  
pp. 1325-1332 ◽  
Author(s):  
M. F. Vineyard ◽  
D. G. Kovar ◽  
G. S. F. Stephans ◽  
K. E. Rehm ◽  
G. Rosner ◽  
...  
Keyword(s):  
Elastic Processes

scholarly journals Quasi-elastic processes of the48Ca + 120Sn system and the48Ca nuclear matter density

2013 ◽  
Vol 88 (4) ◽  
Author(s):  
E. Crema ◽  
M. A. G. Alvarez ◽  
N. H. Medina ◽  
L. R. Gasques ◽  
J. F. P. Huiza ◽  
...  
Keyword(s):  
Nuclear Matter ◽  
Matter Density ◽  
Nuclear Matter Density ◽  
Elastic Processes

Optimization of Complex Elastic Processes

2016 ◽  
Vol 9 (5) ◽  
pp. 700-713 ◽  
Author(s):  
Philipp Hoenisch ◽  
Dieter Schuller ◽  
Stefan Schulte ◽  
Christoph Hochreiner ◽  
Schahram Dustdar
Keyword(s):  
Elastic Processes

On the imperfect elasticity of lung tissue

1989 ◽  
Vol 67 (6) ◽  
pp. 2408-2419 ◽  
Author(s):  
J. J. Fredberg ◽  
D. Stamenovic
Keyword(s):  
Lung Tissue ◽  
Surface Film ◽  
Underlying Mechanism ◽  
Necessary Condition ◽  
Connective Tissues ◽  
Bearing Element ◽  
Tissue Resistance ◽  
Frequency Independent ◽  
Alveolar Duct ◽  
Elastic Processes

This paper deals with a unifying hypothesis addressed at lung tissue resistance and its responses to neurohumoral and biophysical stimuli. The hypothesis holds that dissipative and elastic processes within lung tissue are coupled at the level of the stress-bearing element. Such a description leads naturally to consideration of a readily measured attribute of organ-level dissipative behavior called lung tissue hysteresivity, eta. On preliminary analysis this attribute is found to be nearly frequency independent and numerically conserved across species. To the degree that the numerical value of eta might be conserved during an intervention in which tissue dynamic elastance changes, such behavior would be consistent with the notion that elastic energy storage and dissipative energy loss reside within the very same stress-bearing element and, moreover, that those processes within the stress-bearing element bear an approximately fixed relationship. Tissue hysteresivity is closely related to the parameter K used by Bachofen and Hildebrandt (J. Appl. Physiol. 30: 493-497, 1971) to describe energy dissipation per cycle, and both lend themselves directly to interpretation based on processes ongoing at the levels of microstructure and molecule. Intraparenchymal connective tissues, surface film, and contractile elements appear to submit individually to this description and, in doing so, yield respective hysteresivities that are relatively well matched; this suggests that such hysteretic matching may be a necessary condition for synchronous expansion of the alveolar duct. The overriding simplicity with which this description organizes diverse observations implies that it may capture some unifying attribute of underlying mechanism.

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