Learn More
Although functional coupling between protein kinase Cepsilon (PKCepsilon) and mitochondria has been implicated in the genesis of cardioprotection, the signal transduction mechanisms that enable this link and the identities of the mitochondrial proteins modulated by PKCepsilon remain unknown. Based on recent evidence that the mitochondrial permeability(More)
—Although activation of protein kinase C (PKC) ⑀ and mitogen-activated protein kinases (MAPKs) are known to play crucial roles in the manifestation of cardioprotection, the spatial organization of PKC⑀ signaling modules in naïve and protected myocardium remains unknown. Based on evidence that mitochondria are key mediators of the cardioprotective signal, we(More)
The importance of proteasomes in governing the intracellular protein degradation process has been increasingly recognized. Recent investigations indicate that proteasome complexes may exist in a species- and cell-type-specific fashion. To date, despite evidence linking impaired protein degradation to cardiac disease phenotypes, virtually nothing is known(More)
This paper presents our research on how support vector regression (SVR) and parametric adaptive learning, which are normally used independently, can be exploited together to benefit adaptive neural control. In the context of friction compensation for servo-motion control systems, we present the notion of support vector networks which play an essential role(More)
This paper presents a novel learning feed-forward controller design approach for accurate robotics trajectory tracking. Based on the joint nonlinear dynamics characteristics, a model-free learning algorithm based on Support Vector Machine (SVM) is implemented for friction model identification. The experimental results verified that SVM based learning(More)
Conventional virtual coupling is designed mainly for stabilizing the virtual environment (VE) and it thus may have poor performances. This paper proposes a novel adaptive virtual coupling design approach for haptic display in passive or time-delayed non-passive virtual environment. According to the performance errors, the virtual coupling can be adaptively(More)
This paper explores the notation of support vector networks, a new paradigm of combining support vector regression (SVR) parametrization with adaptive neural mechanism, in friction compensation for servo-motion systems. The contribution of this work is twofold. The first is to develop an enhanced adaptive friction compensator via SVR parametrization; the(More)