Missouri University of Science and Technology

About: Missouri University of Science and Technology is a education organization based out in Rolla, Missouri, United States. It is known for research contribution in the topics: Artificial neural network & Control theory. The organization has 9380 authors who have published 21161 publications receiving 462544 citations. The organization is also known as: Missouri S&T & University of Missouri–Rolla.

Social appraisal of adult ADHD: stigma and influences of the beholder's Big Five personality traits.

Abstract: Objective: This study investigates social stigma associated with a diagnosis of ADHD in adulthood and whether Big Five personality traits predict appraisals of affected individuals. Method: A sample of 257 undergraduates rate the desirability of targets with ADHD, minor medical problems, and with no appreciable weakness, across several social engagement contexts. Results: Participants exhibit significantly less desire to engage with those with ADHD (as compared to both controls). Agreeableness, Extraversion, and Conscientiousness are found to predict appraisals of targets with and without ADHD, moderated by sex of the target and the beholder. Conclusion: It is suggested that fairly subtle, negative bias toward ADHD contributes to rejection of individuals with the disorder, particularly in academic and work settings. Findings also suggest peers’ personalities do have some effect on appraisals of targets with ADHD (J. of Att. Dis. 2008; 11(6) 700-710).

Integrated inventory control and transportation decisions under carbon emissions regulations: LTL vs. TL carriers

Abstract: This study analyzes an integrated inventory control and transportation planning problem with carbon emissions regulations. We investigate the economic order quantity model with less-than-truckload (LTL) and truckload (TL) transportation under carbon cap, cap and trade, cap and offset, and taxing policies. We find the retailer’s optimal order quantity under each regulation with LTL and TL carriers. Analytical and numerical results comparing LTL and TL carriers are documented. We illustrate that the retailer’s carrier preference depends on regulation parameters. The tools provided enable analyzing the effects of regulations, transportation costs and emissions on the retailer’s costs and emissions with each carrier.