Publications by authors named "Sheng-Jun Wen"
Article Synopsis
- This work presents a novel method for diagnosing faults in analog circuits using a nonlinear output frequency response function (NOFRF) and an enhanced convolutional neural network (CNN).
- The approach utilizes NOFRF spectra as fault indicators instead of direct system outputs and incorporates batch normalization and a convolutional block attention module (CBAM) to boost diagnosis accuracy and efficiency.
- Fault diagnosis experiments conducted on a simulated Sallen-Key circuit show that the proposed method enhances diagnostic accuracy while exhibiting robust performance against noise.
Transplantation of neural stem cells (NSCs) can protect neurons in animal stroke models; however, their low rates of survival and neuronal differentiation limit their clinical application. Glial niches, an important location of neural stem cells, regulate survival, proliferation and differentiation of neural stem cells. However, the effects of activated glial cells on neural stem cells remain unclear.
View Article and Find Full Text PDFBackground: Our previous studies have indicated that the beneficial effects of grafting neural stem cells (NSCs) overexpressing glial cell line-derived neurotrophic factor (GDNF) in rats after stroke. However, the underlying mechanisms are highly debatable. In this study, we investigated whether neurogenesis, Akt, and extracellular signal-regulated kinase 1/2 (Erk1/2) signaling were involved in this process.
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