Today in India mostly among the Indian undergrads the use of Social Networking Sites (SNS) has significantly expanded and has unquestionably had broad effects on the scholarly and different exercises of the understudies’ students. These effects are widespread to the point that they grabbed the eye of social researchers around the world. Be that as it may, the scope of studies led to managing th...

In recent years substantial research has been devoted to developing failure-time methodology which accounts for possible dependency between observations. An example is the univariate frailty model (Vaupel, Manton & Stallard, 1979), which incorporates an exchangeable dependence structure by the inclusion of cluster-specific random effects. In some studies it may be reasonable to expect more than...

Neighborhood built environment characteristics may encourage physical activity, but previous literature on the topic has been critiqued for its reliance on cross-sectional data. In this issue of the Journal, Knuiman et al. (Am J Epidemiol. 2014;180(5):453–461) present longitudinal analyses of built environment characteristics as predictors of neighborhood transportation walking. We take this op...

In this paper we present a general framework for conducting robustness analysis early in the development life cycle of web-based systems. This framework exploits the robustness failure modes and evaluates the impact of modifications that can be applied to reduce the severity of these failures. First, the system is systematically decomposed in its components using Jacobson’s analysis. Next, with...

Correlated data originate when observations are not selected independently because of sampling design, study design (especially panel studies), or spatial distribution of the population. In these situations, conventional methods for estimating the parameters of linear models are inappropriate, and the conventional methods for estimating the variances of these estimates may yield biased results....

This paper is proposing an active framework for forecasting the competitiveness of knowledge based economy (KBE) for nations to serve the public, private, and policy makers. We have used three different forecasting methods including, panel data analysis, artificial neural networks (ANN) and linear multiple regression. By structuring and feeding balanced, panel data to the ANN framework, we were...

Drawing on national and state assessment datasets in reading and math, this study tested “external” versus “internal” standards-based education models. The goal was to understand whether and how student performance standards work in multilayered school systems under No Child Left Behind Act of 2001 (NCLB). Under the “external” model, states’ common standards shape teachers’ standards which, in ...

3D fingerprint recognition is an emerging technology in biometrics. However, current 3D fingerprint acquisition systems are usually with complex structure and high-cost and that has become the main obstacle for its popularization. In this work, we present a novel photometric method and an experimental setup for real-time 3D fingerprint reconstruction. The proposed system consists of seven LED l...

The aim of this paper is to utilize Bayesian Networks scenario-building method to create a framework for analyzing the future of Iran’s energy industry. This framework helps to develop more resilient conservation policies when faced with uncontrollable, irreducible uncertainty by the ability to prediction and diagnose scenarios. Also this paper aims to quantify the scenarios as well as explaini...