Background: Quality of life (QOL) is a useful component in assessing the health of people and society. There are many reports on the validity of the four-domain structure of the World Health Organization Quality of Life-BREF (WHOQOL-BREF), but few studies have investigated the possibility of a better alternative model fit among the general population.
Objective: The objectives of the study were to perform exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using the WHOQOL-BREF and to generate a model that fits among the general population of western Gujarat.
Introduction: Treatment failure and relapse rates are more likely to occur when there is isoniazid (INH) resistance. So, we can no longer ignore the problem of isoniazid mono-resistance. It is pertinent to control the spread of primary INH resistance and prevent secondary resistance.
View Article and Find Full Text PDFPhilos Trans A Math Phys Eng Sci
July 2019
Much progress has been made in the study of coronal mass ejections (CMEs), the main drivers of terrestrial space weather thanks to the deployment of several missions in the last decade. The flow of energy required to power solar eruptions is beginning to be understood. The initiation of CMEs is routinely observed with cadences of tens of seconds with arc-second resolution.
View Article and Find Full Text PDFIn this paper we present an assessment of the status of models of the global Solar Wind in the inner heliosphere. We limit our discussion to the class of models designed to provide solar wind forecasts, excluding those designed for the purpose of testing physical processes in idealized configurations. In addition, we limit our discussion to modeling of the 'ambient' wind in the absence of coronal mass ejections.
View Article and Find Full Text PDFUnlabelled: Advanced forecasting of space weather requires simulation of the whole Sun-to-Earth system, which necessitates driving magnetospheric models with the outputs from solar wind models. This presents a fundamental difficulty, as the magnetosphere is sensitive to both large-scale solar wind structures, which can be captured by solar wind models, and small-scale solar wind "noise," which is far below typical solar wind model resolution and results primarily from stochastic processes. Following similar approaches in terrestrial climate modeling, we propose statistical "downscaling" of solar wind model results prior to their use as input to a magnetospheric model.
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