Donor agencies should encourage and facilitate development of career opportunities for such personnel so that local expertise is available to contribute appropriately.”
“For identification and quantification of desired and undesired products during epoxy resin formation, polymerization of bisphenol-A with the stoichiometric excess of epichlorohydrin is carried out using catalytic excess of alkali. The reaction is monitored using Fourier transform infra-red

(FT-IR) spectroscopy technique. Major undesired products are unreacted monomers (bisphenol-A and Metabolism inhibitor epichlorohydrin) and byproducts (chlorine and a-glycol substituted diglycidal ether of bisphenol-A), whereas the desired product is only diglycidal ether of bisphenol-A. Molar concentrations of epichlorohydrin, bisphenol-A, diglycidal ether of bisphenol-A, chlorine substituted resin, and a-glycol substituted resin in the polymerization mixture are analyzed and quantified using FT-IR characteristic frequency bands at 925, 3448, 1344, 773, and 3641 cm-1, respectively. For optimal determination of process parameters on polymerization, effect of temperature and alkali loading on epoxy polymerization is carried to maximize the yield of diglycidal ether of bisphenol-A with simultaneous minimizing the byproducts formation. (c) 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2012″
“Background: The increasing

trend in body mass index (BMI) and overweight in rapidly developing economies is well recognized.

Objective: JQ-EZ-05 mw We assessed the association between socioeconomic status

and BMI and overweight in low-to middle-income countries.

Design: We conducted a cross-sectional analysis of nationally selleckchem representative samples of 538,140 women aged 15-49 y drawn from 54 Demographic and Health Surveys conducted between 1994 and 2008. BMI, calculated as weight in kilograms divided by height squared in meters, was specified as the outcome, and a BMI (in kg/m(2)) of >= 25 was additionally specified to model the likelihood of being overweight. Household wealth and education were included as markers of individual socioeconomic status, and per capita Gross Domestic Product (pcGDP) was included as a marker of country-level economic development.

Results: Globally, a one-quartile increase in wealth was associated with a 0.54 increase in BMI (95% CI: 0.50, 0.64) and a 33% increase in overweight (95% CI: 26%, 41%) in adjusted models. Although the strength of this association varied across countries, the association between wealth and BMI and overweight was positive in 96% (52 of 54) of the countries. Similar patterns were observed in urban and rural areas, although SES gradients tended to be greater in urban areas. There was a positive association between pcGDP and BMI or overweight, with only weak evidence of an interaction between pcGDP and wealth.