COST:Coding over Spatial-Temporal Diversity for Low-Duty-Cycle WSNs

In low-duty-cycle wireless sensor networks,designers have to cope with unreliable links and limited communication capacity.In this work,we propose COST,a coding scheme that leverages spatial-temporal diversity to achieve higher energy efficiency and lower delay of packet transmissions.We particularly address long sleeping intervals in low-duty-cycle networks by exploiting multi-path diversity.Specifically,we propose to employ an erasure-coding scheme to improve reliability.With respect to energy efficiency and delivery timeliness,we formulate the problem in optimal allocation of coded blocks over multiple paths,which is then proved to be NP-hard.We further propose a near-optimal algorithm to solve the allocation problem.Through extensive simulations,we evaluate the impact of network parameters and demonstrate the effectiveness of our proposal.

Regulation network and expression profiles of Epstein-Barr virus-encoded microRNAs and their potential target host genes in nasopharyngeal carcinomas

Epstein-Barr virus(EBV)is associated with nasopharyngeal carcinoma(NPC)tumorigenesis.However,the mechanism(s)connecting EBV infection and NPC remain unclear.Recently,a new class of EBV microRNAs(miRNAs)has been described.To determine how EBV miRNAs control the expression of host genes,and to understand their potential role in NPC tumorigenesis,we profiled the expression of 44 mature EBV miRNAs and potential host genes in NPC and non-tumor nasopharyngeal epithelial tissues.We found that 40 EBV miRNAs from the BART transcript were highly expressed in NPC.Analysis of potential BART miRNA target genes revealed that 3140 genes and several important pathways might be involved in the carcinogenesis of NPC.A total of 105 genes with potential EBV miRNA binding sites were significantly downregulated,suggesting that EBV miRNAs may regulate these genes and contribute to NPC carcinogenesis.An EBV miRNA and host gene regulation network was generated to provide useful clues for validating of EBV miRNA functions in NPC tumorigenesis.

KMcube： the compound of Kautz digraph and Moibius cube

This paper introduces a novel interconnection network called KMcube （Kautz-Mobius cube）. KMcube is a compound graph of a Kautz digraph and M/Sbius cubes. That is, it uses the Mobius cubes as the unit cluster and connects many such clusters by means of a Kautz digraph at the cost of only one additional arc being added to any node in each Mobius cubes. The topological benefits of both basic graphs are preserved in the compound network. It utilizes the topo- logical properties of Mobius cubes to conveniently embed parallel algorithms into each cluster and the short diameter of a Kautz digraph to support efficient inter-cluster communi- cation. Additionally, KMcube provides other attractive prop- erties, such as the regularity, symmetry, and expandability. The proposed methodology for KMcube is further applied to the compound graphs of Kautz digraph and other Mobius-like graphs with the similar diameter to a Mobius cube. Moreover, other hybrid graphs of Kautz digraph and Mobius cubes are proposed and compared.