This paper puts forward a strategy that the sensor-less being optimized by the intelligent algorithm applies in the system of direct torque control. Based on the BP neural network in the identification of DTC speed, it optimizes the BP neural network speed identifier by using generic algorithm. It is proved by the simulation results that the neural network has been greatly improved by the application of intelligent algorithm, and the speed sensor-less based on the intelligent algorithm has better stability properties.

Accurate registration of PET and CT images is an important component in oncology, so we aim to develop an automated registration algorithm for PET and CT images acquired by different system. These two modalities offer affluent complementary information: CT provides specificity to anatomic findings, and PET provides precise localization of metabolic activity. In this paper, we proposed an improved registration method that can accurately align PET and CT images. This registration algorithm includes two stages. The first stage is to deform PET image based on B-Spline Free Form Deformations (FFD). It is consists of three independent steps. After the feature points of PET and CT images have been extracted in the preprocessing step. As a next step, the PET image is deformed by B-Spline Free Form Deformations (FFD) with feature points of CT images. The second stage is to register PET and CT images based on Mutual Information (MI) of feature points combined with Particle Swarm Optimization (PSO) algorithm and Powell algorithm that are used to search the optimal registration parameters.

We have studied some basic problems about wind power generation plant addressing, such as the economy of wind power generation plant addressing, the affection of environment and wind power characteristics. We have analyzed and discussed seriously by comparing the steps about wind power generation plant addressing. In this paper, we also introduced the WASP software which used to how to address wind power generation plant.

BACKGROUND: Perioperative hypothermia is a frequent occurrence and can lead to several complications. The aim of this study is to evaluate the efficacy of warm fluid in maintaining normal core temperature during the intraoperative period. 
METHODS: We studied 30 American Society of Anesthesiologists (ASA) physical status I or II adult patients who required general anesthesia for abdominal surgery. In control group (n=15), fluids were infused at room temperature; in test group (n=15), fluids were infused at 37°C. Core temperature was measured at the tympanic site. During recovery, shivering was evaluated by an independent observer. 
RESULTS: The two groups did not differ significantly in patient characteristics. In control group, core temperature decreased to 35.5±0.3°C during the first 3 hours, and then stabilized at the end of anesthesia. In test group, core temperature decreased during the first 60 min, but increased to 36.9±0.3°C at the end of anesthesia. In control group, 8 patients shivered at grade ≥2. In test group, none of the patients reached grade ≥ 2 (P < 0.01).
CONCLUSIONS: Infusion of warm fluid is effective to keep patients nearly normothermic and prevent postanaesthetic shivering. It may provide an easy and effective method for perioperative hypothermia prevention.

In this paper, we analyzed the UL43 gene of duck plague virus (DPV) of codon usage bias. The results may provide a basis for understanding the evolution and pathogenesis of DPV and for selecting appropriate host expression systems to improve the expression of target gene in vitro. In this study, the synonymous codon usage bias of UL43 gene in the 24 herpesviruses have been analyzed and the results showed obvious differences by the Codon Adaptation Index (CAI), effective number of codons (ENC) and the value of G + C content at the 3rd codon position (GC_(3s)). In addition, the results revealed that the synonymous codons with A and T at the third codon positon have widely usage in the codon of UL43 gene of DPV. G + C compositional constraint is the main factor that determines the codon usage bias in UL43 gene. The phylogenetic analysis suggested that DPV was evolutionarily closer to fowl herpesviruses which further clustered into Alphaherpesvirinae. Furthermore the ORF of UL43 gene has sequential rare codons. There were 25 codons showing distinct usage differences between DPV with Escherichia coli, 24 codons showing distinct usage differences between DPV with yeast, and 32 between DPV and H. sapiens. Therefore the yeast and E. coli expression system may be suitable for the expression of DPV UL43 gene if some codons could be optimized.

In this study, features of neural signal recordings with microelectrode injected into the internal globus pallidus of non-human primates before and after 1-methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine (MPTP) treatment which induces Parkinson’s disease (PD) were investigated. Neural oscillations were analyzed using the measure of wavelet spectrum and singular value extraction. Differences in the time-frequency analysis were observed between groups. Results showed that the PD states had significantly higher amplitudes of spectrum. Singular values extracted from wavelet coefficients after wavelet package decomposition were used to differentiate pathological changes from normal states, and the singular values of the reconstructed wavelet coefficients of the PD states were statistically smaller than controls. We speculate that the irregular high frequency oscillations and reduced singular values observed in the pathological firings are consistent with the previous view that a loss of information transmission in the neural circuitry underlies PD and these measurements could be of diagnostic and monitoring values of the disease state.

Artificial immunity, as a new technology, has been applied widely in virus detection system for its advantages. This paper emphasizes on these works as follows. Firstly, we analyze the disadvantages of traditional virus detection methods and new functions of artificial immune technology, and then review some typical algorithms of the existing virus detection system based on artificial immunity. Finally, a universal evaluating scheme is proposed. The purpose for this paper is to study the existent artificial immune methods and promote the new schemes emergence for virus detection system effectively.

For the following reasons, the original centralized data mining became more and more out of date. First, the data source need to be processed is distributed on different computers in the networks. Second, because of the constrain of networks band, the privacy and safety of data, the incompatibility of systems and so on, it is not realistic to put all data source in a place for centralized data mining. Third, more and more demands have addressed on the openness and easy accessibility. The distributed data mining technology was presented for the problems mentioned above. This article introduced the latest technology for distributed component technology—web services technology into distributed data mining field, and took some tentative efforts in solving the problem of designing for suitable architecture of distributed data mining systems and corresponding distributed mining algorithms.

The Detection of rare variants responsible for human complex diseases has been receiving more and more attentions. However, most existing computational methods for this purpose require the selection of functional variants before statistical analysis. Based on the assumption that nonsynonymous single nucleotide polymor-phisms (nsSNPs) associated with specific diseases should be similar in their properties, we propose a method that utilize conservation scores of nsSNPs and the guilt-by-association principle to prioritize the candi-date nsSNPs for specific diseases. Systematic validation demonstrates that our approach is effective in recovering the relationship between nsSNPs and diseases, with the Manhattan distance measure achieving the most pre-cise prediction results.

Can the rural people benefit from New Cooperative Medical Scheme? We set up a simple economic model to show that the rural patient can benefit from NCMS under a good supervision system which depends on the hospital information management. Based on the theoretical model, we give some suggestions for the current local hospital information management.

Using Service-Oriented Architecture (SOA) to build an information system is a hot topic at present. The primary goal of this paper is to investigate how to build a SOA-based information system in a special industry-the field of emergency vehicles in environment protection industry. The paper provides a presentation of current compositions of the emergency vehicles information system and then gives out the system structure. The paper proceeds with the business process flow and working principle of an emergency vehicle information system. A service-oriented architecture framework for emergency vehicles information system is proposed.

The TEM chamber is a proposed exposure device for experiments detecting cell responses to electromagnetic irradiation at the mobile frequency of 900 MHz. In this paper, we extend the traditional propagating-wave exposure to the standing-wave exposure. Four standing waves with different properties are produced respectively by two types of passive loads and two types of active loads. Systematically, the maximum E field and maximum H field of the standing waves are used to expose Petri dishes of three sizes. The standard deviation (SD) of the specific absorption rate (SAR) is calculated for the cell layer and the cell suspension. We compare the SD data to determine the best arrangement with the highest exposure uniformity while considering the exposure intensity. The investigation uses the numerical simulation of the finite-difference time-domain (FDTD) method with the result accuracy supported by comparison to theoretical data on the field distribution in the TEM chamber.