نتایج جستجو برای: radial mean energy

تعداد نتایج: 1274628  

2004
M. Fiolhais

We show that relativistic mean fields theories with scalar, S, and vector, V , quadratic radial potentials can generate a harmonic oscillator with exact pseudospin symmetry and positive energy bound states when S = −V . The eigenenergies are quite different from those of the non-relativistic harmonic oscillator. We also discuss a mechanism for perturbatively breaking this symmetry by introducin...

Journal: :Physical review letters 2009
F J Marshall P W McKenty J A Delettrez R Epstein J P Knauer V A Smalyuk J A Frenje C K Li R D Petrasso F H Séguin R C Mancini

The fuel layer density of an imploding laser-driven spherical shell is inferred from framed x-ray radiographs. The density distribution is determined by using Abel inversion to compute the radial distribution of the opacity kappa from the observed optical depth tau. With the additional assumption of the mass of the remaining fuel, the absolute density distribution is determined. This is demonst...

2003
J. Praena F. J. Gálvez A. Sarsa

Trial wave functions including angular momentum projection and deformation with central Jastrow and linear-type correlations are calculated to study the ground state rotational band of the Ne, Mg, Si, S, and Ar nuclei and the ground state of Ca. A systematic analysis of the competition among different correlation mechanisms on the binding energy and other properties such as the root mean square...

Journal: :Neurocomputing 1998
Iulian B. Ciocoiu

Radial basis functions networks (RBF) with dynamic synapses are introduced. The novelty aspect consists in replacing the standard scalar values of the output weights by discrete-time FIR/IIR filters. LMS-type learning algorithms are derived and simulation results for prediction of chaotic time series are reported. ( 1998 Elsevier Science B.V. All rights reserved.

2011
Jeen-Shing Wang Ya-Ting Yang Che-Wei Lin

This paper presents an activity recording (AR) system and a radial-basis-function-network-based (RBFNB) energy expenditure regression algorithm. The AR system includes motion sensors and an electrocardiogram sensor which is composed of a set of sensor modules (accelerometers and electrocardiogram amplifying/filtering circuits), a MCU module (microcontroller), a wireless communication module (a ...

Farshid Bagheri, Hosein Ahmadzadeh Chabok, Mohammad Ghardaghi, MohammadTaghi Peivandi,

 Abstract Background: Distal Radial fracture is one of the most common fractures of the skeletal system. Although it has been believed to be a simple fracture with excellent outcomes, practical operations’ results have always been undesirable and even poor. The goal of this study was to compare two methods of treatment “pin and plaster and precautious pin fixation in patients with unstable extr...

In practical situations, distribution network loads are the mixtures of residential, industrial, and commercial types. This paper presents a hybrid optimization algorithm for the optimal placement of shunt capacitor banks in radial distribution networks in the presence of different voltage-dependent load models. The algorithm is based on the combination of Genetic Algorithm (GA) and Binary Part...

2001
Philip J. Armitage

I discuss the results of simplified three dimensional magnetohydrodynamic simulations of the boundary layer between a disc and a non-rotating, unmagnetized star. Strong magnetic fields, possibly approaching equipartition with the thermal energy, occur in the boundary layer due to the shearing of disc-generated fields. The mean boundary layer magnetic field, which is highly variable on an orbita...

2014
D. R. Cohn

A 0-dimensional model with parabolic profiles is employed to assess the use of the combination of enhanced thermal conduction loss and radial motion for passive thermal stability control of an ignited tokamak plasma. The increases in ignition requirements needed for the achievement of passive stability are determined. Both the independent thermal stabilization effects of radial motion and enhan...

1997
Janusz Mazurek Adam Krzyzak Andrzej Cichocki

Recursive radial basis function (RRBF) neural networks are introduced and discussed. We study in detail the nets with diagonal receptive eld matrices. Parameters of the networks are learned by a simple procedure. Convergence and the rates of convergence of RRBF nets in the mean integrated absolute error (MIAE) sense are studied under mild conditions imposed on some of the network parameters. Ob...

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