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Network-on-Chips (NoCs) are becoming integral parts of modern microprocessors as the number of cores and modules integrated on a single chip continues to increase. Research and development of future NoC technology relies on accurate modeling and simulations to evaluate the performance impact and analyze the cost of novel NoC architectures. In this work, we(More)
Recently proposed high-radix interconnection networks [10] require global adaptive routing to achieve optimum performance. Existing direct adaptive routing methods are slow to sense congestion remote from the source router and hence misroute many packets before such congestion is detected. This paper introduces indirect global adaptive routing (IAR) in(More)
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in traditional static databases, data streams typically arrive continuously in high speed with huge amount and changing data distribution. This raises new issues that need to be(More)
Two competing explanations exist regarding the nature of morphological difficulty in adult second language acquisition: competence deficit versus performance deficiency. This study tested these explanations by examining English as a second language (ESL) learners’ morphological performance in reading comprehension tasks. Chinese ESL speakers were asked to(More)
Masked translation priming between languages with different scripts exhibits a marked asymmetry in lexical decision, with much stronger priming from L1 to L2 than from L2 to L1. This finding was confirmed in a lexical decision task with Chinese–English bilinguals who were late learners of English. Following a suggestion made by Bradley (1991), the(More)
Antimicrobial peptides (AMPs) represent a class of natural peptides that form a part of the innate immune system, and this kind of 'nature's antibiotics' is quite promising for solving the problem of increasing antibiotic resistance. In view of this, it is highly desired to develop an effective computational method for accurately predicting novel AMPs(More)
As a key approach to securing large networks, existing anomaly detection techniques focus primarily on network traffic data. However, the sheer volume of such data often renders detailed analysis very expensive and reduces the effectiveness of these tools. In this paper, we propose a light-weight anomaly detection approach based on unproductive DNS traffic,(More)
Histone deacetylases (HDACs) regulate cardiac plasticity; however, their molecular targets are unknown. As autophagy contributes to pathological cardiac remodeling, we hypothesized that HDAC inhibitors target autophagy. The prototypical HDAC inhibitor (HDACi), trichostatin A (TSA), attenuated both load- and agonist-induced hypertrophic growth and abolished(More)