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Control Flow Integrity (CFI) provides a strong protection against modern control-flow hijacking attacks. However, performance and compatibility issues limit its adoption. We propose a new practical and realistic protection method called CCFIR (Compact Control Flow Integrity and Randomization), which addresses the main barriers to CFI adoption. CCFIR(More)
As a representative substance of the polycyclic aromatic hydrocarbons, benzo[a]pyrene (B[a]P) is a widely distributed environmental contaminant. Several studies have indicated that B[a]P exposure could impair learning and memory function in human population and animal models. Abnormal hyperphosphorylation and aggregation of microtubule-associated protein(More)
The aim of the study was to explore the association between perceived stress, depression and food consumption frequency. A self-administered questionnaire that included the perceived stress scale, the depression scale and dietary intake was used in the baseline survey of a cohort study of 2579 local college students over 7 cities in China. Gender and city(More)
BACKGROUND AND PURPOSE The WASID study established the risk of subsequent ischemic stroke at 1 year in subjects with symptomatic intracranial atherosclerotic stenosis (70%-99%) at 18%. The efficacy of different methods of endovascular revascularization in stroke prevention still has not been established. We compared the stroke rate in our registry at 1 year(More)
We found that caffeine is a structural analogue of strychnine and a competitive antagonist at ionotropic glycine receptors (GlyRs). Docking simulations indicate that caffeine and strychnine may bind to similar sites at the GlyR. The R131A GlyR mutation, which reduces strychnine antagonism without suppressing activation by glycine, also reduces caffeine(More)
Glycine is the lone fast neurotransmitter for which a metabotropic pathway has not been identified. In retina, we found a strychnine-insensitive glycine response in bipolar and ganglion cells. This glycine response reduced high voltage-activated calcium current. It was G-protein mediated and protein kinase A dependent. The EC(50) of the metabotropic glycine(More)
Gene Expression Programming (GEP) aims at discovering essential rules hidden in observed data and expressing them mathematically. GEP has been proved to be a powerful tool for constructing efficient classifiers. Traditional GEP-classifiers ignore the distribution of samples, and hence decrease the efficiency and accuracy. The contributions of this paper(More)
Finding functions whose accuracies change significantly between two classes is an interesting work. In this paper, this kind of functions is defined as class contrast functions. As Gene Expression Programming (GEP) can discover essential relations from data and express them mathematically, it is desirable to apply GEP to mining such class contrast functions(More)