Falcon Commons (Univ. of Texas Permian Basin)
Not a member yet
892 research outputs found
Sort by
A Qualitative Investigation of Preteen Girls\u27 Experiences in a Mindfulness-Based Eating Disorder Prevention Program
No full textConcerns with body image and disordered eating behaviors are pervasive in today\u27s society, with recent cohorts of preteen girls experiencing an increased risk of developing an eating disorder. This article describes a phenomenological qualitative investigation into girls\u27 experiences with a mindfulness-based eating disorder prevention program called Free to Be. Results indicated that participants perceived the program to be enjoyable, engaging, supportive, and influential in developing healthier relationships with their bodies, food, and exercise, and that they viewed mindfulness as beneficial for regulating emotions and supporting future development. Implications for counselors and recommendations for future research are provided
Optimizing spatiotemporal sensors placement for nutrient monitoring: a stochastic optimization framework
No full textNutrient monitoring is very important for the area of food–energy–water nexus. The sensor network for nutrient monitoring requires dynamic sensing where the positions of the sensors change with time. In this work, we have proposed a methodology to optimize a dynamic sensor network which can address the spatiotemporal aspect of nutrient movement in a watershed. This is a first paper in the series where an algorithmic and methodological framework for spatiotemporal sensor placement problem is proposed. Dynamic sensing is widely used in wireless sensors, and the current approaches to solving this problem are data intensive. This is the first time we are introducing a stochastic optimization approach to dynamic sensing which is efficient. This framework is based on a novel stochastic optimization algorithm called Better Optimization of Nonlinear Uncertain Systems (BONUS). A small case study of the dynamic sensor placement problem is presented to illustrate the approach. In the second paper of this series, we will present a detailed case study of nutrient monitoring in a watershed
Detection of False-Data Injection Attacks in Cyber-Physical DC Microgrids
No full textPower electronics-intensive dc microgrids use increasingly complex software-based controllers and communication networks. They are evolving into cyber-physical systems (CPS) with sophisticated interactions between physical and computational processes, making them vulnerable to cyber attacks. This paper presents a framework to detect possible false-data injection attacks (FDIAs) in cyber-physical dc microgrids. The detection problem is formalized as identifying a change in sets of inferred candidate invariants. Invariants are microgrids properties that do not change over time. Both the physical plant and the software controller of CPS can be described as Simulink/Stateflow (SLSF) diagrams. The dynamic analysis infers the candidate invariants over the input/output variables of SLSF components. The reachability analysis generates the sets of reachable states (reach sets) for the CPS modeled as hybrid automata. The candidate invariants that contain the reach sets are called the actual invariants. The candidate invariants are then compared with the actual invariants, and any mismatch indicates the presence of FDIA. To evaluate the proposed methodology, the hybrid automaton of a dc microgrid, with a distributed cooperative control scheme, is presented. The reachability analysis is performed to obtain the reach sets and, hence, the actual invariants. Moreover, a prototype tool, HYbrid iNvariant GEneratoR, is extended to instrument SLSF models, obtain candidate invariants, and identify FDIA
Spring 2017 Commencement - The University of Texas of the Permian Basin
Get PDFSpring 2017 Commencement - May 13, 2017https://falconcommons.utpb.edu/utpb-commencement-programs/1059/thumbnail.jp
Organizational leadership through management: Superintendent perceptions
No full textThis research extends on the work of Decman et al. (2010) which explored ISLLC Standard One and superintendent perceptions and practices; however, this work focuses on the Educational Leadership Constituents Council (ELCC) standards
Model Validation of PWM DC–DC Converters
No full textThis paper presents hybrid automaton modeling, comparative model validation, and formal verification of stability through reachability analysis of pulse width modulation (PWM) dc-dc converters. Conformance degree provides a measure of closeness between the proposed hybrid automata models and experimental data. Nondeterminism due to variations in circuit parameters is modeled using interval matrices. In direct contrast to the unsound and computationally-intensive Monte Carlo simulation, reachability analysis is introduced to overapproximate the set of reachable states and ensure stable operation of PWM dc-dc converters. Using a 200 W experimental prototype of a buck converter, hybrid automata models of open-loop, and hysteresis-controlled converters are first validated against experimental data using their conformance degrees. Next, converter stability is formally verified through reachability analysis and informally validated using Monte Carlo simulations and experimental results
The cultural and religious animosity model: evidence from the United States
No full textThe purpose of this paper is threefold: to extend the animosity model developed by Kleinet al. (1998) by adding cultural and religious animosity constructs, to provide a tool with which to measure the cultural and religious constructs and to provide explanations, and thus an understanding, of how cultural and religious differences impact consumer intention to purchase
May the Past Light the Way to the Future: Navigating the Changes in the Field of Management Education through Content Analyses of Papers Published in the JME from 1991-2016
No full textThe purpose of this paper was to analyze the published research in the field of management education by focusing specifically on the Journal of Management Education (JME). As the criticisms of management education have changed dramatically over time, analyzing the focus of the JME over the past quarter-century will help us understand which criticisms have been addressed, and which still require attention. We extracted all abstracts and titles of papers published in JME since 1991, which consisted of 894 abstracts that included more than one hundred thousand words. We used the text mining software, Leximancer, which employs an unstructured machine learning approach, to extract the fundamental concepts of management education in those abstracts and determine whether research in management education addresses the current concerns in the field
Beyond Pokémon: Augmented Reality Is a Universal Design for Learning Tool
No full textThe success of Pokémon Go is demonstrating that augmented reality (AR) is reaching the masses quickly and can be a robust tool to enhance student engagement and learning. Leveraging AR for instructional purposes has the potential to become a powerful medium for Universal Design for Learning (UDL) by providing new tools for multiple means of representation, action and expression, and engagement. One of the advantages of using AR applications and AR platforms is the ability to display context relevant digital information to support students’ needs in real time and in specific contexts. Although many educational AR applications are in their developmental stages, the rapid growth of AR is likely to continue. The examples presented in this article focus on how educators can use mobile devices and AR to apply the principles of UDL. Combining AR with the principles of UDL can help educators create lessons that are accessible, engaging, and powerful for a diverse range of learners
