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Stroke is considered as the second leading cause of death worldwide. The survivors of stroke experience different levels of impairment in brain function resulting in debilitating disabilities. Current therapies for stroke are primarily palliative and may be effective in only a small population of stroke patients. In this study, we explore the(More)
SIRT1, a NAD(+)-dependent protein deacetylase, is an important regulator in cellular stress response and energy metabolism. While the list of SIRT1 substrates is growing, how the activity of SIRT1 is regulated remains unclear. We have previously reported that SIRT1 is activated by phosphorylation at a conserved Thr522 residue in response to environmental(More)
This paper aims at analyzing risks management of genetically modified (GM) crop technology in China, including risk classification, risk generating mechanisms and its governance. Firstly, we seek to create a three-dimensional model capable of assessing the risks of GM crop technologies. Based on this model, the risks of GM crop technologies can be divided(More)
A novel collaborative representation model with hierarchical multiscale local binary pattern (HM-LBP) for palmprint recognition is proposed in this paper. HM-LBP can retrieve useful information from non-uniform patterns and reduce the influence of gray scale, rotation and illumination. The HM-LBP feature of palmprint is extracted, and its dimension is(More)
Many steel-based cities in China were established between the 1950s and 1960s. After more than half a century of development and boom, these cities are starting to decline and industrial transformation is urgently needed. This paper focuses on evaluating the transformation capability of resource-based cities building an evaluation model. Using Text Mining(More)