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Data aggregation is an essential paradigm for energy efficient routing in energy constraint wireless sensor networks (WSN). Data aggregation in WSN can be treated as searching for the Minimum Steiner Tree (MST) including source nodes and sink node. In this paper, we propose a Data-aggregation Algorithm based on Adaptive Ant Colony System (AACS) algorithm.(More)
Although the cellular concentration of miRNAs is critical to their function, how miRNA expression and abundance are regulated during ontogeny is unclear. We applied miRNA-, mRNA-, and ChIP-Seq to characterize the microRNome during lymphopoiesis within the context of the transcriptome and epigenome. We show that lymphocyte-specific miRNAs are either tightly(More)
The B cell-specific enzyme activation-induced cytidine deaminase (AID) has been shown to be essential for isotype switching and affinity maturation of antibody genes during the immune response. Conversely, AID activity has also been linked to autoimmunity and tumorigenesis. Determining how AID expression is regulated in vivo is therefore central to(More)
Cyclin dependent protein kinases (CDKs) have become attractive drug targets in an effort to identify effective inhibitors of the parasite Plasmodium falciparum, the causative agent of the most severe form of human malaria. We tested known CDK inhibitors for their ability to inhibit two malarial CDKs: Pfmrk and PfPK5. Many broad spectrum CDK inhibitors(More)
Phytases are a special class of phosphatases that catalyze the sequential hydrolysis of phytate to less-phosphorylated myo-inositol derivatives and inorganic phosphate. Bacillus phytases, which exhibit their desirable activity profile under neutral pH, higher thermal stability, and strict substrate specificity for the calcium-phytate complex, have(More)
Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, however, genetic-environmental interactions and mechanisms associated with the development of HCC remains largely unclear. Our recent work described novel inactivating mutations of ARID2 (AT-rich interactive domain 2) in four major subtypes of HCC through exomic sequencing of(More)
Refolding is often the bottle-neck step in producing recombinant proteins from inclusion bodies of Escherichia coli, especially for dimer proteins. The refolding process is protein specific, engaging a lot of time and cost to optimize conditions so that the thermodynamics favor protein refolding over competitive aggregation. Bone morphogenetic protein-2(More)
We introduce a new variant of hedonic coalition formation games in which agents have two levels of preference on their own coalitions: preference on the set of " roles " that makes up the coalition, and preference on their own role within the coalition. We define several stability notions and optimization problems for this model. We prove the hardness of(More)
Oroxyloside, as a metabolite of oroxylin A, may harbor various beneficial bioactivities which have rarely been reported in the previous studies. Here we established the dextran sulfate sodium (DSS)-induced experimental colitis and evaluated the anti-inflammatory effect of oroxyloside in vivo. As a result, oroxyloside attenuated DSS-induced body weight loss,(More)
A new incremental support vector machine (SVM) algorithm is proposed which is based on multiple kernel learning. Through introducing multiple kernel learning into the SVM incre-mental learning, large scale data set learning problem can be solved effectively. Furthermore, different punishments are adopted in allusion to the training subset and the acquired(More)