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OBJECTIVE The objective of this study was to retrospectively study the outcomes of large vestibular schwannoma resection through the suboccipital retrosigmoid keyhole approach and emphasize technical details and advantages of surgical resection of large vestibular schwannomas via this approach. METHODS From January 2010 to September 2012, 37 consecutive(More)
Cellular systems operate on ISM band with the co-existence of wide-deployed WLAN is a promising solution to offload the crowded cellular band, where cellular device acting as virtual a WLAN station contends for WLAN channel resource via applying the same IEEE 802.11 Distributed Coordination Function(DCF) as WLAN rivals is a straightforward way. However, the(More)
With the growth of web service, traditional web service discovery mechanisms have become inefficient because of their low precision. Though the current semantic-based service discovery methods enhance the recall rate and precision in a way, most of the semantic-based service discovery methods are based on the new model of the semantic web and the ontology(More)
BACKGROUND/AIMS To explore the diagnosis value and clinical significance of combined detection of serum pepsinogen I (PG I), pepsinogen II (PG II), PG I/II and CA242 in patients with stomach diseases. METHODOLOGY Serum PG I, PG II and CA242 were detected with time-resolved fluoroimmunoassay (TRFIA) method. Serum levers of the four markers in gastric(More)
BACKGROUND Cardiotrophin-1 (CT-1) is a cytokine involved in the growth and survival of cardiac cells that stimulates cardiomyogenesis in pluripotent murine embryonic stem (ES) cells. But it is not known whether CT-1 is responsible for the fate of differentiated bone marrow mesenchymal stem cells (BMMSCs). METHODS We investigated the effects of CT-1 on(More)
The hardware implementation of neural networks is a fascinating area of research with for reaching applications. However, the real weights and non-linear activation function are not suited for hardware implementation. A new learning algorithm, which trains neural networks with integer weights and excludes derivatives from the training process, is presented(More)
In order to resolve the contradiction between computing performance and precision of the traditional neural network, and accord with the characteristic of double-quick computing and tidy memory capacitance in embedded systems, a NN optimization method is proposed. Firstly, we represented a type of NNs with fixed-point weights (FPNN) and its training method.(More)
In this paper, an online self-compensation control scheme for micromachined gyroscope has been presented to eliminate the scale factor drift due to temperature influence. Firstly, the error sources of scale factor have been analyzed. According the analysis results, a novel control scheme which contains three loops has been proposed: a phase-locked loop of(More)
Controlling system is the core of electric vehicles. Performance of the controller determines the character of the whole system. Based on the research of driving and regenerating circuit topology for permanent brushless DC motor (BLDCM), regenerating braking electric vehicle controller is designed. In order to improve the stability and reliability of the(More)