Several network topological

Multiple sclerosis (MS) is a major health problem, leading to a significant disability and patient suffering. Although chronic activation of the immune system is a hallmark of the disease, its pathogenesis is poorly understood, while current treatments only ameliorate the disease and may produce severe side effects.

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Lecture Introduction to computing - Lesson 27: Computer networks. After studying this lesson, you will become able to appreciate the role of networks in computing; will look at several different types of networks; will familiarize ourselves with networking topologies and protocols;...

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Massive biological datasets are generated in different locations all over the world. Analysis of these datasets is required in order to extract knowledge that might be helpful for biologists, physicians and pharmacists.

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Network component analysis (NCA) became a popular tool to understand complex regulatory networks. The method uses high-throughput gene expression data and a priori topology to reconstruct transcription factor activity profiles. Current NCA algorithms are constrained by several conditions posed on the network topology, to guarantee unique reconstruction (termed compliancy).

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Analysis of integrated genome-scale networks is a challenging problem due to heterogeneity of high-throughput data. There are several topological measures, such as graphlet counts, for characterization of biological networks.

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Community detection algorithms are fundamental tools to uncover important features in networks. There are several studies focused on social networks but only a few deal with biological networks. Directly or indirectly, most of the methods maximize modularity, a measure of the density of links within communities as compared to links between communities.

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Dynamic routing protocols have evolved over several years
As networks have evolved and become more complex, new routing protocols have emerged.
Most institutions have migrated to new protocols, others are still in use.
The first version of RIP was released in 1982, but some of the basic algorithms within the protocol were used on the ARPANET as early as 1969.

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We study the global topology of the syntactic and semantic distributional similarity networks for English through the technique of spectral analysis. We observe that while the syntactic network has a hierarchical structure with strong communities and their mixtures, the semantic network has several tightly knit communities along with a large core without any such welldefined community structure. intriguing question, whereby we construct the syntactic and semantic distributional similarity network (DSN) and analyze their spectrum to understand their global topology. ...

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This paper presents SIENA, an event notification service that we have de- signed and implemented to maximize both expressiveness and scalability. In Section 3we describe the service’s formally defined application programming in- terface,which is an extension of the familiar publish/subscribe protocol [Birman 1993]. Several candidate server topologies and protocols are presented in Sec- tion 4.

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Data Link Layer. Learning Objectives Upon completion of this chapter, you will be able to: Explain the role of Data Link layer protocols in data transmission. Describe how the Data Link layer prepares data for transmission on network media. Describe the different types of media access control methods. Identify several common logical network topologies and describe how the logical topology determines the media access control method for that network. Explain the purpose of encapsulating packets into frames to facilitate media access. ...

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