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Neurotransmitter transporters play a major role in achieving low concentrations of their respective transmitter in the synaptic cleft. The GABA transporter GAT1 belongs to the family of Na(+)- and Cl(-)-coupled transport proteins which possess 12 putative transmembrane domains and three N-glycosylation sites in the extracellular loop between transmembrane(More)
Biodegradable tri-component graft copolymers, chitosan-poly(ε-caprolactone)-poly(ethylene glycol) (CPP), were synthesized via a mild route, using sodium dodecyl sulfate-chitosan complex (SCC) as a precursor. Both PCL and PEG could be conveniently conjugated to the hydroxyl sites of chitosan without the need of tedious chemical protection/deprotection(More)
Attention deficit/hyperactivity disorder (ADHD) is characterized by hyperactivity, impaired sustained attention, impulsivity, and is usually accompanied by varying degrees of learning difficulties and lack of motor coordination. However, the pathophysiology and etiology of ADHD remain inconclusive so far. Our previous studies have demonstrated that the(More)
The size and surface property of nanomaterial-based delivery systems administered intravenously play important roles in their cell uptake and in vivo distribution. Both of them should be capable of self-evolution in order to achieve efficient targeting performance. A facile strategy was proposed to manipulate both the size and surface property of polymeric(More)
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Neural Networks(GA-ANN) overcomes BP neural network's fault of slow convergence, long hours of training, and falling into the local minimum point. And First, the signal is processed(More)
This paper presents an approach to model the nonlinear dynamic behaviors of the Automatic Depth Control Electrohydraulic System (ADCES) of a certain mine-sweeping weapon using Radial Basis Function (RBF) neural networks. In order to obtain accurate RBF neural networks efficiently, a hybrid learning algorithm is proposed to train the neural networks, in(More)
Structurally well-defined trimethylated chitosan-O-poly(ε-caprolactone) (TMC-O-PCL) was synthesized under mild homogeneous conditions, using sodium dodecyl sulfate-dimethylated chitosan complex (SDC) as an organosoluble intermediate. The effect of chitosan molecular weight (MW) on the preparation, organosolubility, self-assembly, and cytotoxicity of the(More)
Avoiding conflicting between large numbers of trains is a key problem to train scheduling services in busy rail network. Verifying train group operation conflict within and between multi-station satisfying time constraints is the basis of the construction and coordination on train schedules and plans. While, for many rail networks, the conflicts of proposed(More)
Fulfilling system integrated requirement of unitive resource management is the key issue of urban rail transit safety monitoring system. To solve this problem, firstly, this paper analyses the value chain of information flow. Then, it proposes alliance structure model and assesses method of compositive safety system. A model is also established for choosing(More)