Shuai Zheng

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Ischemia induces angiogenesis as a compensatory response. Although ischemia is known to causes synthesis and release of calcitonin gene-related peptide (CGRP), it is not clear whether CGRP regulates angiogenesis under ischemia and how does it function. Thus we investigated the role of CGRP in angiogenesis and the involved mechanisms. We found that CGRP(More)
In a previous study, we found that calcitonin gene-related peptide (CGRP) could be induced by proinflammatory factor IL-1beta in A549 human type II alveolar (AEII) epithelial cells. We investigated the mechanism of IL-1beta-induced CGRP secretion and found that the PKC-p38 MAPK-NF-kappaB pathway was involved. In the present study, we found that IL-1beta(More)
The alternating direction method of multipliers (ADMM) is a powerful optimization solver in machine learning. Recently, stochastic ADMM has been integrated with variance reduction methods for stochastic gradient, leading to SAG-ADMM and SDCA-ADMM that have fast convergence rates and low iteration complexities. However, their space requirements can still be(More)
With the recent proliferation of large-scale learning problems, there have been a lot of interest on distributed machine learning algorithms, particularly those that are based on stochastic gradient descent (SGD) and its variants. However, existing algorithms either suffer from slow convergence due to the inherent variance of stochastic gradients, or have a(More)
The Toyota Prius is the bestselling hybrid vehicle on current market. The power split device (PSD) in the Toyota Hybrid System (THS) is the key component in Prius. And the differential is the essential component in automobile drive axel. The PSD in hybrid electric vehicle (HEV) and the automobile differential both belong to planetary-gear system, although(More)
Grey theory has been applied widely in the field of prediction and decision, but model precision is influenced extremely by sequence smooth degree, boundary condition and background value. Genetic algorithm has well effect in searching for best result because it is an effective way. The paper advances a new method, sin function is used to deal with(More)
In this demo paper we present a multiscale browsing interface for handheld devices, in which the user can interactively change the scale of the storyboard to easily adjust the amount of information desired. Conventional and hierarchical storyboards provide one or very few possible lengths. In contrast, scalable storyboards allow the number of images and the(More)
—The alternating direction method of multipliers (ADMM) is a powerful optimization solver in machine learning. Recently, stochastic ADMM has been integrated with variance reduction methods for stochastic gradient, leading to SAG-ADMM and SDCA-ADMM that have fast convergence rates and low iteration complexities. However, their space requirements can still be(More)