Establishing and maintaining the supply of skilled STEM workers are issues that many businesses are currently facing. CEOs can provide unique perspectives on the roles of parents, educators and schools, industry and community partners, and government on this issue. To this end, a Qualtrics panel was used to survey 45 CEOs located in the state of Georgia in the southeastern United States. CEOs responded to open-ended questions that were later analyzed using topic modeling techniques to uncover the themes and the factors that have the potential to increase the number of STEM-capable graduates and, ultimately, a sustained STEM workforce. The results of this study indicate that CEOs perceive parents, educators and schools, industry and community partners, and government as key players who are recommended to interact, engage and collaborate to successfully create a sustained pipeline of STEM talent. Business leaders, university business programs, and business faculty should stay abreast of the factors affecting the supply and demand of STEM workers, and this paper adds value by reporting on CEO perspectives on this important problem.
In this work, we present a simple approximate transfer matrix method for 2D and 3D Ising ferromagnet to calculate spontaneous magnetization of the system. The critical coupling strength Kc of 2D and 3D Ising models in reduced transfer matrix approximation is obtained quite accurately by simple improvements over the mean field theory. The important physical effect we include is the some of the fluctuations effects of the systems directly with help of this method. We predict from the spontaneous magnetization curve that the critical coupling strength Kc=J/kBT = 0.401 and 0.245 for two-dimensional (2D) and three-dimensional (3D) systems, respectively.
Some recent studies suggest narrowly defined economic growth is the key to reducing the infant mortality rate. A host of new studies emerged in reaction to this assertion. These new studies emphasize the role of increased health expenditures in reducing infant mortality rates. Analyzing the infant mortality rate using cross-sectional data for provinces in Turkey, this paper first ranks provinces by their level of socioeconomic development, and then tests both linear and nonlinear regression models to explore the relationship between the infant mortality rate and the indicators of socioeconomic development. This paper contributes to the infant mortality literature by providing additional insights into the determinants of infant mortality using consistently measured cross-sectional data for the provinces within a developing country. Our findings indicate that per capita gross domestic product is a significant determinant of the infant mortality rate, but the relationship is not a linear one.
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