University of Nebraska Omaha

About: University of Nebraska Omaha is a education organization based out in Omaha, Nebraska, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4526 authors who have published 8905 publications receiving 213914 citations. The organization is also known as: UNO & University of Omaha.

A Multi-criteria Convex Quadratic Programming model for credit data analysis

Abstract: Speed and scalability are two essential issues in data mining and knowledge discovery. This paper proposed a mathematical programming model that addresses these two issues and applied the model to Credit Classification Problems. The proposed Multi-criteria Convex Quadric Programming (MCQP) model is highly efficient (computing time complexity O(n^1^.^5^-^2)) and scalable to massive problems (size of O(10^9)) because it only needs to solve linear equations to find the global optimal solution. Kernel functions were introduced to the model to solve nonlinear problems. In addition, the theoretical relationship between the proposed MCQP model and SVM was discussed.

Predicting Five Dimensions of Police Officer Stress: Looking More Deeply Into Organizational Settings for Sources of Police Stress:

Abstract: Research on police officer stress has focused primarily on the rather atypical nature of police work and extent of adherence by law enforcement agencies across the nation to the Weberian bureaucratic form of organization and management practices. This study explores the effect of individual perceptions of work environment on male officer stress. Survey data from two large police departments in the northwestern United States are used in the analysis. The findings observed suggest that the levels of five dimensions of workplace stress are similar to adult males in the U.S. workforce and that an individual's perceptions of their work environment do have a significant impact on police officer stress.

How valid are wearable physical activity trackers for measuring steps

Abstract: Wearable activity trackers have become popular for tracking individual’s daily physical activity, but little information is available to substantiate the validity of these devices in step counts. Thirty-five healthy individuals completed three conditions of activity tracker measurement: walking/jogging on a treadmill, walking over-ground on an indoor track, and a 24-hour free-living condition. Participants wore 10 activity trackers at the same time for both treadmill and over-ground protocol. Of these 10 activity trackers three were randomly given for 24-hour free-living condition. Correlations of steps measured to steps observed were r = 0.84 and r = 0.67 on a treadmill and over-ground protocol, respectively. The mean MAPE (mean absolute percentage error) score for all devices and speeds on a treadmill was 8.2% against manually counted steps. The MAPE value was higher for over-ground walking (9.9%) and even higher for the 24-hour free-living period (18.48%) on step counts. Equivalence testing for...

Ready for Recess: A Pilot Study to Increase Physical Activity in Elementary School Children.

Abstract: BACKGROUND: Creating an optimal environment at recess may be necessary to maximize physical activity (PA) participation in youth. The purpose of this study was to determine the initial effectiveness of an elementary school recess intervention on the amount of moderate PA (MPA) and vigorous PA (VPA) during recess and the school day. METHODS: This school-based intervention included staff training, activity zones, and playground equipment. The PA levels of third, fourth, and fifth grade students (n = 93) at two schools were measured at baseline and post-intervention using ActiGraph accelerometers. Paired t tests were used to compare percentage of time spent during recess in MPA and VPA. Multiple regressions were utilized to model the effect of intervention, age, sex, race, body mass index, and school on minutes spent in MPA and VPA. RESULTS: The multiple regression results demonstrated increases of 2.5 minutes of MPA (p < .001) and 2.2 minutes of VPA (p < .001) at recess and an increase of 18.7 minutes of MPA (p < .001) and 4.7 minutes of VPA (p < .001) during the school day. These represent respective increases of 51.2% and 112.2% in the adjusted means of MPA and VPA during recess and respective increases of 92.2% and 71.6% in the adjusted mean of MPA and VPA during school day. CONCLUSION: Staff training, recreational equipment, and playground markings are inexpensive, simple ways to increase PA during recess so that children can accumulate minutes of PA to meet the recommended guidelines of 60 minutes per day.