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Sequences of the complete nuclear ribosomal DNA (rDNA) gene from five individual Paramphistomum cervi were determined for the first time. The five complete rDNA sequences, which included the 18S rDNA, the internal transcribed spacer 1 (ITS1), the 5.8S rDNA, the internal transcribed spacer 2 (ITS2), the 28S rDNA, and the intergenic spacer (IGS) regions, had(More)
High sensitivity chemical and biological detection techniques and the development of future electronic systems can greatly benefit from self-assembly processes and techniques. We have approached this challenge using biologically inspired events such as the hybridization of single (ss)-to double-stranded (ds) DNA and the strong affinity between the protein(More)
The self-assembly and integration of heterogeneous materials and devices at the nano-and microscale is of paramount interest from a scientific and practical point of view. For example, integration of silicon devices on glass or plastic substrates can result in high performance and flexible displays, while selective placement of silicon nanowires can result(More)
Now days, different kinds of IDS systems are available for serving in the network distributed system, but these systems mainly concentrate on network-based and host-based detection. It is inconvenient to integrate these systems into distributed application servers for application-based intrusion detection. An agent-based IDS that can be smoothly integrated(More)
— To enable higher layer transparent, Mobile IPv6 (MIPv6) hides mobility from the transport layer such as TCP, but it has serious implications on TCP due to mobility issues including the packet loss and the deviation of end-to-end transport delay, which may seriously degrade the transport performance of TCP. This paper explores the impact of MIPv6 on TCP(More)
Nitrogen (N)-doped carbon materials exhibit high electrocatalytic activity for the oxygen reduction reaction (ORR), which is essential for several renewable energy systems. However, the ORR active site (or sites) is unclear, which retards further developments of high-performance catalysts. Here, we characterized the ORR active site by using newly designed(More)
The evolutionary learning algorithm called particle swarm optimization (PSO) is developed in this paper. The image model of the embedded mobile robot is automatically generated with the omni-directional image concept to approach toward the behavior of the embedded mobile robot. The circumvolutory environment is dynamically captured from the head of the(More)