Publications by authors named "Sifan Long"

Background: The detrimental and protective effects of interleukin 1β (IL-1β) have been reported. We have previously shown that the periods of IL-1β elevation is related to its dual effects. However, the effects of different IL-1β concentrations on neuropathological processes are unclear.

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In the field of reinforcement learning, we propose a Correct Proximal Policy Optimization (CPPO) algorithm based on the modified penalty factor and relative entropy in order to solve the robustness and stationarity of traditional algorithms. Firstly, In the process of reinforcement learning, this paper establishes a strategy evaluation mechanism through the policy distribution function. Secondly, the state space function is quantified by introducing entropy, whereby the approximation policy is used to approximate the real policy distribution, and the kernel function estimation and calculation of relative entropy is used to fit the reward function based on complex problem.

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Objective: Although the cause of Alzheimer's disease (AD) is still controversial, it is generally accepted that neuroinflammation plays a key role in AD pathogenesis. Thus, regulating the polarization of microglia will help in recovering from AD since microglia can be polarized into classical M1 and alternative M2 phenotypes, M1 microglia leading to neuroinflammation and M2 microglia acting as anti-inflammatory effectors. Our previous study demonstrated that eicosapentaenoic acid (EPA), an essential n-3 polyunsaturated fatty acid, may modulate glial cell activity and functions, but it is not clear whether EPA plays a role in microglial polarization.

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