scholarly journals Application of the Gadolinium Isotopes Nuclei Neutron-Induced Excitation Process

2020 ◽  
Author(s):  
Igor V. Shamanin ◽  
Mishik A. Kazaryan
Keyword(s):  
Excitation Process

scholarly journals Generalized photo-thermo-microstretch elastic solid semiconductor medium due to the excitation process

2021 ◽  
Vol 15 (1) ◽  
pp. 184-197
Author(s):  
Merfat H. Raddadi ◽  
Kh. Lotfy ◽  
A. El-Bary ◽  
N. Anwer ◽  
R. S. Tantawi
Keyword(s):  
Elastic Solid ◽  
Excitation Process

Analysis of repetitive transient response of lobster motor axons

1960 ◽  
Vol 199 (2) ◽  
pp. 367-372
Author(s):  
W. J. Adelman ◽  
E. Pautler ◽  
S. Epstein
Keyword(s):  
Repetitive Sequence ◽  
Spike Timing ◽  
Constant Current ◽  
Intensity Increase ◽  
Transient Phase ◽  
Intensity Data ◽  
Probability Level ◽  
Excitation Process ◽  
Excitatory State ◽  
Repetitive Discharge

An analysis was made to determine the relation between spike timing and the intensity of a constant current evoking a repetitive discharge in the single lobster motor axon. Accurate measurements of repetition intervals during the transient phase showed that an intensity increase of about 10–3 rheobase units produces a significantly different change in spike interval timing at the 0.005 probability level. Applications of excitation theory to the latency-intensity data have produced an equation which predicts the latency to the nth spike in a repetitive sequence as a function of stimulus intensity. The equation implies that the excitation process producing the nth spike is similar to the process producing the first spike in the repetitive sequence. Influences of supernormality and refractoriness were incorporated into the analysis. Also repeated stimulation at a fixed intensity indicated an inherent variability in the timing of the repetitive response which was shown to be a function of the magnitude of the latency. To explain this result a fixed uncertainty in the level of the initiating excitatory state was postulated.

Effects ofRutaon the Excitation Process in Myelinated Nerves

Planta Medica ◽  
1989 ◽  
Vol 55 (07) ◽  
pp. 649-649 ◽  
Author(s):  
Ch. Bautz ◽  
K. Bohuslavizki ◽  
W. Hänsel ◽  
E. Koppenhöfer
Keyword(s):  
Excitation Process ◽  
Myelinated Nerves

35.2: Invited Paper: A Consideration of Excitation and De-excitation Process of MgO Protective Layer

2010 ◽  
Vol 41 (1) ◽  
pp. 507 ◽  
Author(s):  
Hiroshi Kajiyama ◽  
Noriyuki Awaji ◽  
Kazuma Suesada ◽  
Harm Tolner
Keyword(s):  
Protective Layer ◽  
Excitation Process

Stochastic Stability of Mechanical Systems Under Renewal Jump Process Parametric Excitation

2005 ◽  
Vol 72 (2) ◽  
pp. 213-221 ◽  
Author(s):  
R. Iwankiewicz ◽  
S. R. K. Nielsen ◽  
J. W. Larsen
Keyword(s):  
State Space ◽  
Parametric Excitation ◽  
Stochastic Equation ◽  
Jump Process ◽  
The State ◽  
Arrival Process ◽  
Mean Square ◽  
Direct Simulation ◽  
Excitation Process ◽  
Mean Square Stability

A dynamic system under parametric excitation in the form of a non-Erlang renewal jump process is considered. The excitation is a random train of nonoverlapping rectangular pulses with equal, deterministic heights. The time intervals between two consecutive jumps up (or down), are the sum of two independent, negative exponential distributed variables; hence, the arrival process may be termed as a generalized Erlang renewal process. The excitation process is governed by the stochastic equation driven by two independent Poisson processes, with different parameters. If the response in a single mode is investigated, the problem is governed in the state space by two stochastic equations, because the stochastic equation for the excitation process is autonomic. However, due to the parametric nature of the excitation, the nonlinear term appears at the right-hand sides of the equations. The equations become linear if the state space is augmented by the products of the original state variables and the excitation variable. Asymptotic mean and mean-square stability as well as asymptotic sample (Lyapunov) stability with probability 1 are investigated. The Lyapunov exponents have been evaluated both by the direct simulation of the stochastic equation governing the natural logarithm of the hyperspherical amplitude process and using the modification of the method wherein the time averaging of the pertinent expressions is replaced by ensemble averaging. It is found that the direct simulation is more suitable and that the asymptotic mean-square stability condition is not overly conservative.

VUV-UV multiwavelength excitation process using F 2 and KrF excimer lasers

2002 ◽  
Author(s):  
Koji Sugioka ◽  
Toshimitsu Akake ◽  
Kotaro Obata ◽  
Katsumi Midorikawa
Keyword(s):  
Excimer Lasers ◽  
Excitation Process
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