Georgia College & State University

About: Georgia College & State University is a education organization based out in Milledgeville, Georgia, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 950 authors who have published 1591 publications receiving 37027 citations.

The Mediating Effects of Attachment to Social Structure and Psychosocial Resources on the Relationship Between Marital Quality and Psychological Distress

Abstract: All marital relationships are not alike. The quality of the marital relationship may be an important determinant of health outcomes. The authors suggest that low marital quality is stressful for married people and that resources (i.e., self-esteem, mastery, and social support) may mediate the effects of relationship quality on distress. Using data from the “Americans’ Changing Lives (ACL): Wave 1” data set, they examine a series of path models to determine the mediating effects of these resources on distress. Marital harmony is more strongly associated with psychological distress than other relationship characteristics. Self-esteem and mastery account for much of the mediating effects, with and without the inclusion of support resources. No gender differences in relationship quality, resources, or social support were found at the multivariate level. The results reflect the importance of self-esteem and mastery for health and well-being over and above the effects of relationship quality and social support.

Accelerated 2d image processing on GPUs

Abstract: Graphics processing units (GPUs) in recent years have evolved to become powerful, programmable vector processing units. Furthermore, the maximum processing power of current generation GPUs is roughly four times that of current generation CPUs (central processing units), and that power is doubling approximately every nine months, about twice the rate of Moore's law. This research examines the GPU's advantage at performing convolutionbased image processing tasks compared to the CPU. Straight-forward 2D convolutions show up to a 130:1 speedup on the GPU over the CPU, with an average speedup in our tests of 59:1. Over convolutions performed with the highly optimized FFTW routines on the CPU, the GPU showed an average speedup of 18:1 for filter kernel sizes from 3x3 to 29x29.

Relationships among Nontask Behaviors, Rated Performance, and Objective Performance Measures:

Abstract: Correlations among nontask behaviors, subjective evaluations of performance, and objective performance measures were investigated for a sample of 73 machine operators. Correlation and regression an...

Do per capita health care expenditures converge among OECD countries? Evidence from unit root tests with level and trend-shifts

Abstract: This study examines the stochastic conditional convergence of per capita health care expenditures (PCHCE) among 19 OECD countries over the period 1972–2008. Specifically, newly developed LM and RALS-LM unit root tests with allowance for two endogenously determined structural breaks are employed. The results indicate support for PCHCE convergence among most OECD countries. The results are stronger in more general tests that control for two breaks and nonnormal errors. Panel unit root tests provide additional support for the stochastic convergence of PCHCE.