Objective: The objective of the study was to report the socio demographic risk factors of gestational diabetes mellitus (GDM). Methods: This study was conducted in the Institute of Chemical Sciences, University of Peshawar. In this study 103 GDM and 97 healthy pregnant women (HPW) were registered in Khyber Teaching Hospital (KTH), Peshawar, Pakistan. Women with gestational diabetes were diagnosed with 75mg Oral Glucose Tolerance Test (OGTT). Data was collected through questionnaire which had information about sociodemographic risk factors. Results: Maternal age, BMI and parity of GDM were significantly higher at P<0.05 as compared to HPW. Previous history of gestational diabetes and family history of diabetes of GDM women were also significantly higher at P<0.001 as compared the control group. Socioecnomic status, education level and occupations of GDM and HPW were not significantly different. Conclusion: Maternal age, BMI, parity, previous history of gestational diabetes and family history of diabetes are the high risk factors of GDM. Socioecnomic status does not affect the prevalence of GDM.

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The interest to ferrite nanoparticles (NPs) is thriving because of their unique applications in life industry. Doping of rubber composites by nanoparticles results in a novel characteristics which is not exist either in the ferrite or rubber alone. In this study, zinc ferrite NPs have been synthesized via sol–gel technique. These nanoferrites embedded into acrylonitrile butadiene rubber (NBR) at different concentrations. The morphology and structure of zinc ferrite and zinc ferrite NPs doped NBR were investigated using X‐ray diffraction and transmission electron microscopy. The influence of zinc ferrite NPs loading on the thermal stability showed that the zinc ferrite enhanced the thermal stability and reduced the rate of thermal degradation of rubber nanocomposites. The effect of zinc ferrite NPs on the mechanical properties of NBR showed that the hardness, tear strength, and tensile stress are improved. The magnetic measurements of these nanocomposites showed that the saturation magnetization is enhanced as the concentration of zinc ferrite NPs increased into NBR nanocomposites. The EPR spectra of zinc ferrite NPs doped NBR indicated that the increase in zinc ferrite NPs content resulted in an increase in the g‐factor and line width. POLYM. COMPOS., 2012. © 2012 Society of Plastics Engineers

Iron losses can account for a significant portion of the total loss in electrical machines. Nevertheless, although analytical and numerical techniques have been developed for predicting the iron loss density distribution and the total iron loss of various types of machine under any operating load condition, to date these have neglected the effect of mechanical stress. However, during the manufacture of many electrical machines, a significant radial compressive stress can be imposed on the stator lamination stack, by shrink fitting/pressing an outer frame, for example. This paper describes a technique that has been developed for predicting the effect of compressive stress on the iron loss density in lamination materials, and demonstrates its use in calculating the iron loss of a permanent magnet brushless dc motor.

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