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Hedi Bel Hadj Salah - One of the best experts on this subject based on the ideXlab platform.

  • real time Deformation of Structure using finite element and neural networks in virtual reality applications
    Finite Elements in Analysis and Design, 2006
    Co-Authors: Ridha Hambli, Abdessalam Chamekh, Hedi Bel Hadj Salah
    Abstract:

    In this paper, an approach for 'virtual' real-time Deformation of complex Structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant Deformation changes in a virtual environment.A tennis racket and ball are used to illustrate the capability of the proposed method.Because real time Deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball Deformation.The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the Deformation of the ball/strings and the impact force-feedback value.The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the Deformation.

Ridha Hambli - One of the best experts on this subject based on the ideXlab platform.

  • real time Deformation of Structure using finite element and neural networks in virtual reality applications
    Finite Elements in Analysis and Design, 2006
    Co-Authors: Ridha Hambli, Abdessalam Chamekh, Hedi Bel Hadj Salah
    Abstract:

    In this paper, an approach for 'virtual' real-time Deformation of complex Structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant Deformation changes in a virtual environment.A tennis racket and ball are used to illustrate the capability of the proposed method.Because real time Deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball Deformation.The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the Deformation of the ball/strings and the impact force-feedback value.The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the Deformation.

Abdessalam Chamekh - One of the best experts on this subject based on the ideXlab platform.

  • real time Deformation of Structure using finite element and neural networks in virtual reality applications
    Finite Elements in Analysis and Design, 2006
    Co-Authors: Ridha Hambli, Abdessalam Chamekh, Hedi Bel Hadj Salah
    Abstract:

    In this paper, an approach for 'virtual' real-time Deformation of complex Structures is developed. The approach combines the finite element method and Neural Network calculations to allow the user to perform interactive shape changes and view the resultant Deformation changes in a virtual environment.A tennis racket and ball are used to illustrate the capability of the proposed method.Because real time Deformation simulation is a time consuming repeated analyses, the neural networks are employed in this investigation as numerical devices for substituting the finite element code needed for the tennis racket and ball Deformation.The input data for the artificial neural network are a set of parameters generated randomly (ball impact velocity, impact angle and the zone impact). The output data are the Deformation of the ball/strings and the impact force-feedback value.The work contribute toward the development of real virtual simulator which uses a haptic device that "feels" the feedback force generated by the Deformation.

Jiankang Liu - One of the best experts on this subject based on the ideXlab platform.

  • delaying the mitochondrial decay of aging with acetylcarnitine
    Annals of the New York Academy of Sciences, 2004
    Co-Authors: Bruce N Ames, Jiankang Liu
    Abstract:

    Oxidative mitochondrial decay is a major contributor to aging. Some of this decay can be reversed in old rats by feeding them normal mitochondrial metabolites, acetylcarnitine (ALC) and lipoic acid (LA), at high levels. Feeding the substrate ALC with LA, a mitochondrial antioxidant, restores the velocity of the reaction (K(m)) for ALC transferase and mitochondrial function. The principle appears to be that, with age, increased oxidative damage to protein causes a Deformation of Structure of key enzymes with a consequent lessening of affinity (K(m)) for the enzyme substrate. The effect of age on the enzyme-binding affinity can be mimicked by reacting it with malondialdehyde (a lipid peroxidation product that increases with age). In old rats (vs. young rats), mitochondrial membrane potential, cardiolipin level, respiratory control ratio, and cellular O(2) uptake are lower; oxidants/O(2), neuron RNA oxidation, and mutagenic aldehydes from lipid peroxidation are higher. Ambulatory activity and cognition decline with age. Feeding old rats ALC with LA for a few weeks restores mitochondrial function; lowers oxidants, neuron RNA oxidation, and mutagenic aldehydes; and increases rat ambulatory activity and cognition (as assayed with the Skinner box and Morris water maze). A recent meta-analysis of 21 double-blind clinical trials of ALC in the treatment of mild cognitive impairment and mild Alzheimer's disease showed significant efficacy vs. placebo. A meta-analysis of 4 clinical trials of LA for treatment of neuropathic deficits in diabetes showed significant efficacy vs. placebo.

Bruce N Ames - One of the best experts on this subject based on the ideXlab platform.

  • delaying the mitochondrial decay of aging with acetylcarnitine
    Annals of the New York Academy of Sciences, 2004
    Co-Authors: Bruce N Ames, Jiankang Liu
    Abstract:

    Oxidative mitochondrial decay is a major contributor to aging. Some of this decay can be reversed in old rats by feeding them normal mitochondrial metabolites, acetylcarnitine (ALC) and lipoic acid (LA), at high levels. Feeding the substrate ALC with LA, a mitochondrial antioxidant, restores the velocity of the reaction (K(m)) for ALC transferase and mitochondrial function. The principle appears to be that, with age, increased oxidative damage to protein causes a Deformation of Structure of key enzymes with a consequent lessening of affinity (K(m)) for the enzyme substrate. The effect of age on the enzyme-binding affinity can be mimicked by reacting it with malondialdehyde (a lipid peroxidation product that increases with age). In old rats (vs. young rats), mitochondrial membrane potential, cardiolipin level, respiratory control ratio, and cellular O(2) uptake are lower; oxidants/O(2), neuron RNA oxidation, and mutagenic aldehydes from lipid peroxidation are higher. Ambulatory activity and cognition decline with age. Feeding old rats ALC with LA for a few weeks restores mitochondrial function; lowers oxidants, neuron RNA oxidation, and mutagenic aldehydes; and increases rat ambulatory activity and cognition (as assayed with the Skinner box and Morris water maze). A recent meta-analysis of 21 double-blind clinical trials of ALC in the treatment of mild cognitive impairment and mild Alzheimer's disease showed significant efficacy vs. placebo. A meta-analysis of 4 clinical trials of LA for treatment of neuropathic deficits in diabetes showed significant efficacy vs. placebo.