According to information interchange situation in our hospital,this article analyzes and discusses the PHS,GSM,CDMA and DECT technologies,selects the PHS technology to construct hospital mobile communication system for the better construction of hospital information interchange environment.

The ultrasound devices have been widely applied in hospitals.The audio & video teaching system for ultrasonic diagnosis based on network was built for training ultrasonic diagnosis skill.The system should lay emphasis on the design of consulting room,network,server,grouping study and meeting teaching systems.The system construction and application are introduced in combination with actual experiences in hospital.

In order to quantitate the bovine immunodeficiency virus (BIV) infection in vitro, a BIV indicator cell line (BIVL) was established by transfecting baby hamster kidney cells with reporter plasmids containing the firefly luciferase gene driven by a BIV long terminal repeat promoter. The BIV activates promoter activity of the LTR to express luciferase upon infection. BIV infection could therefore by quantified by detection of luciferase activity. Compared to standard assays used to detect BIV infection, the BIVL-based assay is 10 times more sensitive than the the CPE-based assay, and has similar sensitivity with the viral capsid protein Western blot assay. BIV indicator cell line could detect BIV infection specifically. Luciferase activity of BIV infected BIVL cells showed a time dependent manner, and 60 h post infection is the optimal time to detect BIV infection. Luciferase activity of BIVL cells correlates with the BIV capsid protein expression. Moreover, a linear relationship was found between MOI and the activated intensity of luciferase expression. In brief, the BIV indicator cell line is an easy, robust and quantitive method for monitoring BIV infection.

Viruses (e.g. Human immunodeficiency virus, Human simplex virus and Prototype foamy virus) are obligate intracellular parasites and therefore depend on the cellular machinery for cellular trafficking. Bovine foamy virus (BFV) is a member of the Spumaretrovirinae subfamily of Retroviruses, however, details of its cellular trafficking remain unknown. In this study, we cloned the BFV gag gene into prokaryotic expression vector pET28a and purified the denaturalized Gag protein. The protein was used to immunize BALB/c mouse to produce antiserum, which could specifically recognize the BFV Gag protein in BFV-infected cells through western blot assay. Additionally, these results demonstrated that both the optimal and suboptimal cleavage of Gag protein occur in BFV-infected cells. Subsequently, the Gag antiserum was used to investigate subcellular localization of BFV. In immunofluorescence microscopy assays, colocalization microtubules (MTs) and assembling viral particles were clearly observed, which implied that BFV may transport along cellular MTs in host cells. Furthermore, MTs-depolymerizing assay indicated MTs were required for the efficient replication of BFV. In conclusion, our study suggests that BFV has evolved the mechanism to hijack the cellular cytoskeleton for its replication.

Objective To study the non-fermenter isolation rate and its drug resistance to more than 10 kinds of antibiotics at the First Affiliated Hospital to Xinxiang Medical University from the year of 2010 to 2012 in order to offer evidences for reasonable use of drugs by doctors and to prevent nonfermenters from becoming common pathogenic bacteria.Methods The infection and drug resistance of different Nonfermenters (Pseudomonas aeruginosa,Acinetobacter baumannii,Pseudomon as mahophilia,Los non Acinetobacter,Pseudomonas stutzeri,Achromobacter,Bacillus steady short,onions Bock cepacia,meningitis septicemia Elizabeth Kim bacteria)during present 3 years were analyzed by using WHONET 5.5 software.Results The infection rate from non-fermenters as pathogenic bacteria was gradually increased,with the rate from 18.2％ to 27.2％,until 31.2％ ; Acinetobacter Baumannii were isolated as higher infection rate and multiple drug resistance (7.1％ to 18.5％ until 28.7％) in pathogenic bacteria; the infection rate of other non-fermenter with infection rate of high and multiple drug resistance in pathogenic bacteria were gradually increased,such as infection rate or the precedence of Achromobacter xylosoxidans and Pseudomonas maltophilia,especially the precedence of Pseudomonas maltophilia ranged the third in non-fermenters,and Pseudomonas maltophiliai had a higher and multiple drug resistance to many antibiotics; infection rate of non-fermenters with low drug resistance gradually decreased,such as Pseudomonas fluorescens; the drug resistance rate of Acinetobacter Baumannii was higher than that of Pseudomonas aeruginosa and its drug resistance rate was over 50％ to common antibiotics used clinically,as well as Pseudomonas maltophiliai and Empedobacter brevis,especially the resistance rate of Pseudomonas maltophiliai to many commonly used antibiotics was more than 90.0％.Conclusions Non-fermenter isolation rate is becoming higher clinically and its drug resistance becomes more severe,so the sanitation administration department should pay more attention to the use of antibiotics in order to prevent and control drug resistance and higher infection rate caused by non-fermenters as a serious consequence.

Objective To validate a cell infection-based quantitative RT-PCR for evaluating the potency of rotavirus vaccine. Methods According to the ICH ( the International Council for Harmonization) Harmonised Tripartite Guideline, the method was validated for its specificity, accuracy, precision, linearity and robustness. Results The method had good specificity as it could only amplify and detect the corre-sponding type of rotavirus strain. The recovery rates for determining the potency against rotaviruses of G2, G3 and G4 types were 97％ to 108％. The percent coefficient of variation ( CV) of both intra-plate and in-ter-plate precision was≤2. 62％, while the intraday and interday CV was≤1. 76％ and≤2. 27％, respec-tively. The CV between the two experimenters was≤7. 68％. The linearity range of the method was 4. 4-6. 5 UI for G2 type rotavirus, 3. 9-8. 3 UI for G3 type and 3. 5-8. 1 UI for G4 type. Good robustness was observed using the cells of 140 to 160 generations. Conclusions The cell infection-based quantitative RT-PCR was shown to have satisfactory specificity, accuracy, precision, linearity and robustness, suggesting that it was a suitable method for evaluating the potency of multivalent rotavirus live vaccines.

Objective To design and verify the reliability of a shoelace tensile test system. Methods Incremental loads of 0-196 N were applied to three tension sensors, each load was repeated nine times, with the load removed and interval of 30 s during the repeated tests. Then output voltage of the sensors under each load was collected. Linear regression analysis was used to explore linear relationship between the collected voltage signal and the incremental load. Accuracy, precision and consistency intervals were used to verify consistency of the measured values with the true load. Bland-Altman analysis and intra-group correlation coefficient (ICC) analysis were used to verify the repeatability and reliability of the tensile sensor. Results There was a significant linear correlation between output voltage signal of the sensors and the load (P< 0. 000 1, R2= 0. 999 9), and ICC of three sensors was above 0. 999 (P<0. 000 1). The mean values of the coefficients of variation of the measured values for three tensile sensors under different loads were 0. 003 8, 0. 002 2 and 0. 003 5, respectively. Conclusions The shoelace tensile test system has high reliability and can be used for real-time acquisition of shoelace tension.

Image registration is of great clinical importance in computer aided diagnosis and surgical planning of liver diseases. Deep learning-based registration methods endow liver computed tomography (CT) image registration with characteristics of real-time and high accuracy. However, existing methods in registering images with large displacement and deformation are faced with the challenge of the texture information variation of the registered image, resulting in subsequent erroneous image processing and clinical diagnosis. To this end, a novel unsupervised registration method based on the texture filtering is proposed in this paper to realize liver CT image registration. Firstly, the texture filtering algorithm based on L0 gradient minimization eliminates the texture information of liver surface in CT images, so that the registration process can only refer to the spatial structure information of two images for registration, thus solving the problem of texture variation. Then, we adopt the cascaded network to register images with large displacement and large deformation, and progressively align the fixed image with the moving one in the spatial structure. In addition, a new registration metric, the histogram correlation coefficient, is proposed to measure the degree of texture variation after registration. Experimental results show that our proposed method achieves high registration accuracy, effectively solves the problem of texture variation in the cascaded network, and improves the registration performance in terms of spatial structure correspondence and anti-folding capability. Therefore, our method helps to improve the performance of medical image registration, and make the registration safely and reliably applied in the computer-aided diagnosis and surgical planning of liver diseases.
Algorithms ; Humans ; Image Processing, Computer-Assisted ; Liver Diseases ; Tomography, X-Ray Computed