24 research outputs found

    Testing of Indirect Effect of Work-Family Conflict on Life Satisfaction- A Multi-mediator Model

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    The purpose of this study was testing of indirect effect of work-family conflict on life satisfaction of Shiraz hospitals nurses (340 persons) through testing of a multi-mediator model. Using a multi-mediator approach, indirect effect of work-family conflict on life satisfaction was simultaneously tested through two mediators of job satisfaction and family satisfaction. In this research it was tried to clarify two general perceptions: First, work-family conflict can indirectly influence general quality of individual’s life. Second, general quality of individual’s life satisfaction is depended on two main aspects of his life (job and family). Using Preacher and Hayes’ multi-mediator model, rate of direct and indirect effects of this model and their statistical meaningfulness was evaluated. Eventually, this research approved the two general perceptions. In addition, it determined special indirect effects of the mentioned mediator variables

    Appropriate Genotyping of Hepatitis B Virus in Iran

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    Estimation of unmeasurable vibration of a rotating machine using Kalman filter

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    Abstract Rotating machines are typically equipped with vibration sensors at the bearing location and the information from these sensors is used for condition monitoring. Installing additional sensors may not be possible due to limitations of the installation and cost. Thus, the internal condition of machines might be difficult to evaluate. This study presents a numerical and experimental study on the case of a rotor supported by four rolling element bearings (REBs). As such, the study resembles a complex real-life industrial multi-fault scenario: a lack of information, uncertainties, and nonlinearities increase the overall complexity of the system. The study provides a methodology for modeling and analyzing complicated systems without prior information. First, the unknown model parameters of the system are approximated using measurement data and the linearized model. Thereafter, the Unscented Kalman Filter (UKF) is applied to the estimation of the vibration characteristics in unmeasured locations. As a result, the estimation of unmeasured vibration characteristics has a reasonable agreement with the rotor whirling, and the estimated results are within a 95% confidence interval. The proposed methodology can be considered as a transfer learning method that can be further used in other identification problems in the field of rotating machinery

    Study of the association of mutant HBsAg gene and Hodgkin and non-Hodgkin lymphoma

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    Background: Hepatitis B Virus (HBV) is responsible for chronic, acute, and fulminant hepatitis, which are prevalent worldwide. Chronic HBV may lead to cirrhosis and hepatocellular carcinoma. Several epidemiological studies have indicated that hepatitis B virus is involved in B-cell Hodgkin and Non-Hodgkin Lymphoma (NHL).Objectives: The aim of this study was to evaluate the association between hepatitis B infection and Hodgkin and non-Hodgkin Lymphoma.Materials and Methods: Paraffin embedded of 41 block samples including 12 (29.26%) Hodgkin and 29 (70.73%) non-Hodgkin patients were collected. Next, DNA extraction was carried out for all the samples followed by HBV DNA detection by the nested polymerase chain reaction (PCR). The positive HBV DNA samples were sequenced, and HBV genotypes and HBV subtypes were determined.Results: Three out of 12 (25%) Hodgkin samples and seven out of 29 (24.13%) non-Hodgkin showed positive HBV DNA results. The results of sequencing revealed that the D genotype was predominant among the positive HBV patients. Interestingly an unpredictable amino acid proline was detected in position 88 of the HBs gene, which indicates a new mutation in the “S” region of HBV DNA in patients with Hodgkin and non-Hodgkin lymphoma. Conclusions: A high rate of 25% and 24.13% of HBV DNA was detected among patients with Hodgkin and non-Hodgkin lymphoma, respectively. © 2015, Ahvaz Jundishapur University of Medical Sciences
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