Gan Zhou

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PURPOSE To assess the impacts of erythromycin on the pharmacokinetics of voriconazole and its association with CYP2C19 genotypes in healthy Chinese male subjects. METHODS A single-center, open, crossover clinical study with two treatment phases was carried out. Eighteen healthy male volunteers, including 6 CYP2C19 homozygous extensive metabolizers (EMs,(More)
AIM To improve and validate an analytical method based on liquid chromatography and electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) for the quantitative measurement of ilaprazole and its two metablites in human plasma. METHODS Separation of analytes and the internal standard (IS), omeprazole, was performed on a Thermo HyPURITY C18 column(More)
Reconfigurable processors, like the Field Programmable Gate Arrays (FPGA's), open new computational paradigms where the processor is able to tailor its internal structure to better. implement a given application. A typical FPGA consists of an array of configurable logic blocks and a mesh of interconnections fully programmable by the user to perform a given(More)
Computational methods for optimal control are for dealing with bottlenecks in industries. By implementing optimal operation strategies that are obtained form the important computational methods into dynamic systems, objectives such as saving energy, reducing cost, exploiting protential, improving efficiency can be achieved. In this paper, to conquer the(More)
Cyber-physical systems such as autonomous spacecraft, power plants and automotive systems become more vulnerable to unanticipated failures as their complexity increases. Accurate tracking of system dynamics and fault diagnosis are essential. This paper presents an efficient state estimation method for dynamic systems modeled as concurrent probabilistic(More)
Fault diagnosis is crucial for guaranteeing safe, reliable and efficient operation of modern engineering systems. These systems are typically hybrid. They combine continuous plant dynamics described by continuous-state variables and discrete switching behavior between several operating modes. This paper presents an integrated approach for online tracking(More)
The dynamic nature of hybrid systems involves discrete switching behavior between several operating modes and continuous plant dynamics governed by continuous models in each mode. State estimation is a important class of approaches for online monitoring and diagnosis of hybrid systems, which relies on the estimation of unknown variables using a filtering(More)