JiCheng Liu

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Elevated levels of β-amyloid (Aβ) in the brains being a hallmark of Alzheimer's disease have been believed to play a critical role in the cognitive dysfunction that occurs in Alzheimer's disease. Recent evidence suggests that Aβ induces neuronal apoptosis in the brain and in primary neuronal cultures. In this study, we investigated the effects of puerarin,(More)
Epidemiological data have indicated that estrogen replacement therapy (ERT) can decrease the risk of developing Alzheimer's disease (AD). Phytoestrogens have been proposed as potential alternatives to ERT. The aim of the present study was to assess the neuroprotective effects of puerarin, a phytoestrogen isolated from Pueraria lobata, against the toxicity(More)
Elevated levels of beta-amyloid (Abeta) in the brains being a hallmark of Alzheimer's disease (AD) have been believed to play a critical role in the cognitive dysfunction that occurs in AD. Recent evidence suggests that Abeta induces neuronal apoptosis in the brain and in primary neuronal cultures. In this study, we investigated the effects of beta-asarone,(More)
Neurodegenerative disorders, such as Alzheimer's disease (AD), is associated with the loss of neuronal cells, and it has been suggested that apoptosis is a crucial pathway in neuronal loss in AD patients. Recent evidence suggests that amyloid beta peptide (Abeta) induces neuronal apoptosis in the brain and in primary neuronal cultures. In this study, we(More)
Apoptosis is a widely accepted component of the pathogenesis of Parkinson's disease (PD), a debilitating neurodegenerative disorder characterized by loss of dopaminergic neurons in the substantia nigra. In this study, we investigated the neuroprotective effects of puerarin and possible mechanisms by which puerarin acts against MPP(+)-induced toxicity in rat(More)
Because the network intrusion behaviors are characterized with uncertainty, complexity and diversity, a new method based on support vector regression (SVR) and particle swarm optimization algorithm (PSOA) is presented and used for pattern analysis of intrusion detection in this paper. The novel structure model has higher accuracy and faster convergence(More)
An improved artificial fish swarm algorithm is proposed to search the optimal parameter combination in this paper. It is concerned with fuzzy entropy definition used for image segmentation. The key problem associated with this method is to find the optimal parameter combination of membership function so that an image can be transformed into fuzzy domain(More)
This paper provides an overview on the Artificial Fish Swarm Algorithm (AFSA) for the automated design and optimization of fuzzy logic controller. A new optimization method for fuzzy logic controller design is proposed. The membership functions of input and output variables are defined by six parameters, which are adjusted to maximize the performance of the(More)