Thoughtful consideration of products maintenance features early in design stage can reduce or eliminate maintenance costs, reduce downtime, and improve safety. As such, the effective collaboration of product designers and maintenance technicians throughout the product design process is becoming much more important for the most advanced competitiveness. To address this need, a visualization system that enables maintainability-related technicians cooperated with product designers in a networked manufacturing environment is proposed in this study. This paper presents a systematic approach to implementation of a Web-based visualization system by using virtual reality technology. The system aims at providing a simulated environment and concurrent engineering processes to facilitate communication, coordination, control, and integration of product maintainability validation and improvement activities. The result of this research will help increase product maintainability, reduce development cycle time and cost, and hence increase product marketability.

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The current reliability testing methods cannot precisely evaluate the comprehensive reliability of SoftwareIntensive Complex Systems. In order to solve the problem, it is necessary to research the method of carrying out the softwarehardware interdependent reliability test. In this thesis, we do research on Software-hardware interdependent fault mode of Software-Intensive Complex Systems by collecting and studying the faults occurred in practical filed use. Then we design the software-hardware testing profile by adding software test profile to the reliability test profile, and put forward the idea about designing the test environment of software-hardware testing, which constitute a whole plan of software-hardware testing. And then a case study is demonstrated, which testifies the validation of the technique.Software-Intensive Complex Systems are those whose software plays a major role in the completion of required function or task, or in the development, operation, or the evolution of complex systems. The functions of complex software-intensive systems such as industrial control, avionics, satellite, telecommunications and other complex computer systems with hardware subsystems and software subsystems, can only be realized through the help of the embedded computer system featured by hardware and software together. With the extensive application of computer technology industries, complex software-intensive systems playing an increasingly important role in industrial products and people's daily lives are more closely related than ever.The operation mode of the Software-Intensive Complex Systems are becoming more complex more powerful and used under different operation environments, which calls for a higher demand for their reliability. In the mean time, the status of the software is becoming increasingly important and the soul of the system playing a key role in the realization of digital, intelligence, network and integration. Traditional reliability test becomes useless because it doesn't consider running the software operating profile and fails to test the function of the software adequately and on the other hand, when it comes to software test , we can't consider the impact of the hardware environment on the software functions, which makes it very difficult to detect how hardware environment stimulates the software-related fault of the system. Therefore, in independent hardware reliability testing and software testing exist loopholes and shortcomings, followed by:(1) The interdependent effect of the hardware reliability testing data and software testing data is poor, which can not be used for comprehensive reliability evaluation.(2) When reliability qualification test is performed, we are focusing on the performance under a variety of environmental stresses. Although when we test the hardware, we actually test the software at the same time, however, the test featuring a very small coverage of software functions, neglecting the faults that happen under a certain stress and a software is operating. For example, in...

Background: This study sought to evaluate the differences between trabectedin and doxorubicin in the treatment of soft-tissue sarcoma (STS).Methods: Multiple databases, including PubMed, Web of Science, Cochrane Library, and China National Knowledge Infrastructure, were searched to retrieve relevant articles. Ultimately, the full text of 10 studies involving the use of trabectedin and doxorubicin in STS were reviewed. Review Manager 5.2 was used to evaluate the heterogeneity of the results of the selected articles. Forest plot, bias, and sensitivity analyses were carried out on the included articles.Results: Ten papers that met the criteria were included in this analysis. STS patients receiving trabectedin had longer progression-free survival than those receiving doxorubicin [overall mean difference (MD) =1.36, 95% confidence interval (CI): 1.04, 1.68, I 2 =6%, fixed-effects model]. The experimental group also had a longer overall survival period than the control group (MD =3.92, 95% CI: 0.23, 7.60, P=0.04 and I 2 =83%, random-effects model), and the experimental group had a better disease control rate than the control group (relative risk =1.2, P=0.03 and I 2 =45%, fixed-effects model). From the publication bias analysis and sensitivity analysis, we can guarantee the results are robust and unbiased.Discussion: Our research showed that STS patients who received trabectedin had better clinical effects and a longer survival time than those who received doxorubicin.

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