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Apolipoprotein (apo) E, a polymorphic protein with three isoforms (apoE2, apoE3, and apoE4), is essential for lipid homeostasis. Carriers of apoE4 are at higher risk for developing Alzheimer's disease. We have investigated adult neurogenesis in mice with knockout (KO) for apoE or with knockin (KI) alleles for human apoE3 or apoE4, and we report that(More)
Insect viruses have evolved strategies to control the host RNAi antiviral defense mechanism. In nature, Drosophila melanogaster C virus (DCV) infection causes low mortality and persistent infection, whereas the closely related cricket paralysis virus (CrPV) causes a lethal infection. We show that these viruses use different strategies to modulate the host(More)
The combination of high accuracy, sensitivity and speed of single and multiple-stage mass spectrometric analyses enables the collection of comprehensive sets of data containing detailed information about complex biological samples. To achieve these properties, we combined two high-performance matrix-assisted laser desorption ionization mass analyzers in one(More)
Checkpointing is one of the commonly used techniques to provide fault-tolerance in distributed systems so that the system can operate even if one or more components have failed. However, mobile computing systems are constrained by low bandwidth, mobility, lack of stable storage, frequent disconnections and limited battery life. Hence, checkpointing(More)
Based on the study of affected factors for dissolved oxygen (DO) concentration in fishpond, a fuzzy neural network prediction model for DO in fishpond was proposed utilizing the nice approximation ability of fuzzy neural network to given nonlinear systems. Neural networks (NNs) have become one of idea tools in modeling nonlinear relationship between inputs(More)
The concept of ring signature was first introduced by Rivest et al. in 2001. In a ring signature, instead of revealing the actual identity of the message signer, it specifies a set of possible signers. The verifier can be convinced that the signature was indeed generated by one of the ring members; however, the verifier is unable to tell which member(More)
The expert system has been studied and applied to solve the status of frequent diseases and lack of fish disease experts in aquaculture. This paper proposes fish disease diagnosis expert system based on fuzzy neural network, which takes grass carp disease diagnosis as an example; the expert system is designed to overcome the “bottleneck”(More)
The prediction for dissolved oxygen (DO) in aquaculture ponds is a problem of multi-variables, nonlinearity and long-time lag. Neural networks (NNs) have become one of ideal tools in modeling nonlinear relationship between inputs and outputs. In this work, GA-LM, a neural network model combining Levenberg–Marquardt(LM) algorithm and Genetic(More)
Dissolved oxygen is one of the most important dependent factors in the process of aquaculture. In this article, a new on-line soft sensing method is proposed for estimation of dissolved oxygen in aquaculture. Based on the characters of process data, two advance techniques are used which is PLS (Partial Least Squares) and neural networks. With this method,(More)
Dissolved oxygen is an important water quality index in aquaculture. It represents the environment of fish growth. At present it can't be measured online precisely, so the control and optimal operation is hardly to be achieved. To deal with this problem, a soft sensing method for dissolved oxygen based on extreme learning machine (ELM) is proposed and a(More)