17 research outputs found
Application of Artificial Neural Networks to Predict the Catalytic Pyrolysis of HDPE Using Non-Isothermal TGA Data
RELATIONSHIP BETWEEN EXERCISE VOLUME AND BODY APPRECIATION IN UNDERGRADUATE STUDENTS
A. A. Campos Ontiveros, L. E. Fitzgerald, H. L. Quantrille, R. P.K. Nahulu, W. M. Silvers
Whitworth University, Spokane, WA
Participation in physical activity, exercise, and sports has been previously linked to self-body image. However, the influence of exercise volume, specifically, is less well known. PURPOSE: The purpose of this study was to examine the relationship between exercise volume and self-body image amongst undergraduate students. METHODS: 500 full-time undergraduate students aged 18-23 years old were recruited via random and pseudo-random sampling to participate in an online survey. Of these, 119 eligible respondents (Nmale = 43, Nfemale = 72, Nnon-binary = 4) volunteered to participate in the survey. Preliminary survey questions prompted respondents to describe exercise volume and patterns. The remaining portion of survey consisted of the Body Appreciation Scale-2 to assess self-body image. Questions within this section were based on a 5-point Likert scale and a total body appreciation score was calculated based upon the sum of those responses. Due to the ordinal nature of exercise volume data, a Spearman correlation coefficient was used to determine the relationship between the measured dependent variables. RESULTS: There was a moderate, positive correlation (r = 0.41, p \u3c 0.05) between exercise volume (0-150 min/week = 44 respondents, 150-300 min/week = 37 respondents, 300+ min/week = 38 respondents) and body appreciation scores (55.5 ± 10.7). Further analysis indicated that exercise volume and body appreciation scores varied across gender which elicited different relationships (males: r = 0.22, females: r = 0.43). CONCLUSION: As a whole, exercise volume was positively linked with body image for this sample population. However, the present results should be cautiously interpreted due to differences between genders. Males tended to report higher body appreciation scores and disproportionately higher exercise volumes than females, yet males demonstrated a weaker relationship between these variables. Further research may be necessary to better understand how other aspects of exercise, such as frequency or intensity may influence self-body image in undergraduate students
Extruded and Pressureless-Sintered Al2O3-SiCw Composite Rods: Fabrication, Structure, Electrical Behavior, and Elastic Modulus
Extended and Unscented Kalman Filters for Artificial Neural Network Modelling of a Nonlinear Dynamical System
Recently, artificial neural networks, especially feedforward neural networks, have been widely used for the identification and control of nonlinear dynamical systems. However, the determination of a suitable set of structural and learning parameter value of the feedforward neural networks still remains a difficult task. This paper is concerned with the use of extended Kalman filter and unscented Kalman filter based feed forward neural networks training algorithms. The comparisons of the performances of both algorithms are discussed and illustrated using a simulated example. The simulation results show that in terms of mean squared errors, unscented Kalman filter algorithm is superior to the extended Kalman filter and backpropagation algorithms since there are improvements between 2.45–21.48% (for training) and 8.35–29.15% (for testing). This indicates that unscented Kalman filter based feedforward neural networks learning could be a good alternative in artificial neural network models based applications for nonlinear dynamical systems