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AIMS The present study was designed to examine the mechanism involved in mitochondrial aldehyde dehydrogenase (ALDH2)-induced cardioprotection against ischaemia/reperfusion (I/R) injury with a focus on autophagy. METHODS Wild-type (WT), ALDH2 overexpression, and knockout (KO) mice (n = 4-6 for each index measured) were subjected to I/R, and myocardial(More)
Current simulation technologies support at most hundreds of thousands of nodes, and fall short on the emerging large-scale networking systems that usually involve millions of nodes. We meet this challenge with our distributed simulation engine that is able to run millions of instances and is tested with a production P2P protocol, using commodity PC(More)
Faced with a proliferation of distributed systems in research and production groups, we have devised the WiDS ecosystem of technologies to optimize the development and testing process for such systems. WiDS optimizes the process of developing an algorithm, testing its correctness in a debuggable environment, and testing its behavior at large scales in a(More)
Human age provides key demographic information. It is also considered as an important soft biometric trait for human identification or search. Compared to other pattern recognition problems (e.g., object classification, scene categorization), age estimation is much more challenging since the difference between facial images with age variations can be more(More)
—Distributed arithmetic (DA) is performed to design bit-level architectures for vector-vector multiplication with a direct application for the implementation of convolution, which is necessary for digital filters. In this work, two novel DA based implementation schemes are proposed for adaptive FIR filters. Different from conventional DA techniques, our(More)
Building a student performance prediction model that is both practical and understandable for users is a challenging task fraught with confounding factors to collect and measure. Most current prediction models are difficult for teachers to interpret. This poses significant problems for model use (e.g. personalizing education and intervention) as well as(More)
Twin support vector machine (TSVM) is a novel machine learning algorithm, which aims at finding two nonparallel planes for each class. In order to do so, one needs to resolve a pair of smaller-sized quadratic programming problems rather than a single large one. Classical TSVM is proposed for the binary classification problem. However, multi-class(More)
Dysosma (Berberidaceae), which comprises seven herbaceous perennial species, has long been used as main sources of a traditional Chinese medicine, “Guijiu.” Despite its ecological and economic importance, molecular research of Dysosma has lagged behind because of the shortcoming of molecular markers. In this study, a cDNA library of D. versipellis leaves(More)