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Malaria remains one of the most important public health concerns worldwide. It causes nearly half a million deaths every year, and about 40% of the world's population lives in the endemic regions of malaria. A major hurdle in antimalarial development is our limited understanding of the dynamic cellular networks in the malaria parasite. In this study, by coupling RNA-Seq analysis and network mining...
Recently, P2P (Peer-to-Peer) technology has witnessed a rapid development. Basically, one of key components in successful P2P applications is how to efficiently look up resources. Considering that structured P2P is a relatively efficient way to locate resources, this paper conducted two improvements to increase the search efficiency in Chord-based algorithms, one of the most popular structured P2P...
A novel technique of noise suppression based on singular value decomposition (SVD) algorithm for a UWB system with Time hopping (TH) and pulse amplitude modulation (PAM) are considered is presented in this paper,. According to the different correlation about UWB signals and Gaussian noises respectively, SVD is used to approximate the noises which then are subtracted from the received signals. Aiming...
This paper preliminarily proposes a reputation ranking algorithm called ldquoPoisonedwaterrdquo to resist front peer attack - peers that gain high reputation values by always cooperating with other peers and then promote their malicious friends through passing most of their reputation values to those malicious peers. Specifically, we introduce a notion of Poisoned Water (PW) that iteratively floods...
In this paper, a new clustering algorithm MSC is proposed. Mathematics morphology theory is used to search clusters. A new mathematics morphological operator is introduced, which is more accurate than the ordinary operators: open and close. The scale space theory is integrated with mathematics morphology to get multi-scale and hierarchical clusters. Performance tests show that MSC can find clusters...
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