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Information Sharing and Storage Behavior via Cloud Computing: Security and Privacy in Research and Practice and Users' Trust
This research contributes to the cloud computing (CC) literature and information science research by addressing the reality of information sharing and storage behavior (ISSB) of the users' personal information via CC. Gathering information about usage also allows this research to address the paradox between the research and practice. Additionally, this research explores the concept of trust and its role in the behavioral change relative to CC. The findings help reconcile the paradox between the two realms. Essay1 develops and tests cloud computing usage model (CCUM) that assesses ISSB. This model considers the main adoption determinants and the main drawbacks of CC. The study measures the main concerns of users found in the literature, perceived security and perceived privacy. The findings prove surprising on these concerns. Using multiple regression to analyze 129 valid survey responses, the results find that CC users are less concerned about the major issues of security and privacy and will use the technology based on peer usage. Essay 2 examines why users ignore the technology issues and elect to replace the traditional mechanisms for handling their personal information. The results of an interview-based study conducted on 11 normal users and 11 IT professionals clarify their perceptions about CC and examine its readiness to handle their information from an end-user perspective. Essay 3 explores the CC literature to identify the major factors associated with the users' trust beliefs. The research conducted in this essay groups these factors into three categories. The posited and tested model examines the effect of perceived trust on ISSB. A structural equation modeling approach is used to analyze 1228 valid responses and tests the developed cloud computing trust model. The results provide multiple implications for CC researchers, managers, and service providers.
Three Essays on Internet of Things Adoption and Use
Internet of Things (IoT) is a promising technology with great potential for individuals, society, governments, and the economy. IoT is expected to become ubiquitous and influence every aspect of everyday experience. Thus, IoT represents an important phenomena for both organizational and behavioral information system (IS) researchers. This dissertation seeks to contribute to IS research by studying the aspects that influence IoT adoption and use at both consumer and organizational levels. This dissertation achieves this purpose in a series of three essays. The first essay focuses on IoT acceptance in the context of smart home. The second essay focuses on examining the effect of artificial intelligence (AI) capabilities on consumers' IoT perceptions and intentions. Finally, the third essay focuses on the organizational investment and adoption of IoT technologies.
The Impact of Sociocultural and Information Communication Technology Adoption Factors on the Everyday Life Information Seeking Behavior of Saudi Students in the United States
This study analyzes the sociocultural factors that affect Saudi students in the U.S. as they seek information and explores to what extent these factors impact their everyday life information seeking (ELIS) behavior and their information technology behavior (ITB). The factors in this study illustrate the unique sociocultural values that distinguish Saudi students from other international student groups: gender segregation, emphasis on religion, social support, and utilization of the consultation concept. After collecting data from an online survey, the data from linear regression analyses revealed that only one culture factor (the language barrier) showed a significant impact on Saudi student ELIS in the U.S., while the other factors were not statistically significant. Also, the findings indicated that perceived usefulness (PU) and perceived ease of use (PEU) were statistically significant to the ELIS of Saudi students. Furthermore, the study showed that after academic information, food and drink, entertainment, and health were the top student needs, the top ranking sources for everyday life seeking information were social media and the Internet. The findings of the study help to shed light on a sizable user group. As the fourth largest group of international students in the U.S., Saudi students have been underrepresented in research. Also, the study's findings and recommendations provide a more profound understanding of Saudi students for both the hosting American university officials and stakeholders who provide scholarships.
"Driving Lessons" and Other Stories
A study through short stories of the emotional effects on close family relationships before and after a traumatic death.
Decision Making in Alternative Modes of Transportation: Two Essays on Ridesharing and Self-Driving Vehicles
This manuscript includes an investigation of decision making in alternative modes of transportation in order to understand consumers' decision in different contexts. In essay 1 of this study, the motives for participation in situated ridesharing is investigated. The study proposes a theoretical model that includes economic benefits, time benefits, transportation anxiety, trust, and reciprocity either as direct antecedents of ridesharing participation intention, or mediated through attitude towards ridesharing. Essay 2 of this study, focuses on self-driving vehicles as one of the recent innovations in transportation industry. Using a survey approach, the study develops a conceptual model of consumers' anticipated motives. Both essays use partial least square- structural equation modeling for assessing the proposed theoretical models.
Design Method of Cold-Formed Steel Framed Shear Wall Sheathed by Structural Concrete Panel
The objective of this research is developing a new method of design for cold-formed steel framed shear wall sheathed by ¾" thick USG structural panel concrete subfloor using a predictive analytical model and comparing the results obtained from the model with those achieved from real testing to verify the analytical model and predicted lateral load-carrying capacity resulted from that. Moreover, investigating the impact of various screw spacings on shear wall design parameter such as ultimate strength, yield strength, elastic stiffness, ductility ratio and amount of energy dissipation is another purpose of this research.
Characterization, Analysis, and Optimization of Rotary Displacer Stirling Engines
This work focuses on an innovative Rotary Displacer SE (RDSE) configuration for Stirling engines (SEs). RDSE features rotary displacers instead of reciprocating displacers (found in conventional SE configurations), as well as combined compression and expansion spaces. Guided by the research question "can RDSE as a novel configuration achieve a higher efficiency compared to conventional SE configurations at comparable operating conditions?", the goal of this study is to characterize, analyze, and optimize RDSE which is pursued in three technical stages. It is observed the RDSE prototype has an optimum phase angle of > 90° and thermal efficiency of 15.5% corresponding to 75.2% of the ideal (Carnot) efficiency at the source and sink temperatures of 98.6° C and 22.1° C, respectively. Initial results indicate that 125° phase angle provides more power than that of the theoretically optimum 90° phase angle. The results also show comparable B_n and significantly higher W_n values (0.047 and 0.465, respectively) compared to earlier studies, and suggest the RDSE could potentially be a competitive alternative to other SE configurations. Furthermore, due to lack of a regenerator, the non-ideal effects calculated in the analytical approach have insignificant impact (less than 0.03 kPa in 100 kPa). The clearance volume in the shuttled volume has a dramatic negative effect and reduces the performance up to 40%. Ultimately, utilizing CFD, it is proved that the existing geometry is relatively optimized where the optimum phase angle is 121° and geometric ratio D\/L for the displacer is 0.49.
Weapons of Mass Deception: Opacity and the Israeli Nuclear Program
Access to nuclear technology and growing concern over the spread of nuclear weapons triggered an international debate in the 1960s that led to the creation of the Nonproliferation Treaty. Ratified in 1970, NPT was designed to prevent the horizontal spread of nuclear weapons and limit destructive uses of nuclear energy. At the same time, it also normalized the arsenals of existing nuclear states and encouraged exchanges of nuclear information, technology, and materials for peaceful purposes. Nonproliferation policy relies on a theory of the development process that identifies a nuclear frontier to locate evidence of nuclear capabilities. Absent from the proliferation model, however, are cases of covert nuclear weapons programs. For almost 50 years, it has been generally accepted that Israel is a nuclear weapon state, yet Israeli officials have never confirmed nor denied the possession of nuclear weapons. Israel has not signed NPT and has not appeared to conduct a nuclear test, in effect absolving the nuclear program's main reactor from international inspections. Uncertainty surrounding the Israeli program stems from a tradition of deliberate secrecy and deception that constitutes a national policy of opacity. This study argues that opacity has armed Israel with the privilege of nuclear immunity, exempting its secret nuclear activity from the standards and regulations imposed on all other nuclear weapon states. To circumvent the barriers built by opacity, a mixture of declassified material, nuclear history and security literature, and postcolonial studies refines the history of Israel's nuclear program. By examining the American-Israeli nuclear relationship, the sources of opacity, and the framework of nonproliferation that sustains an international nuclear regime, Israel's role in the nuclear world becomes visible.
Independence of Mania and Depression across 4 Years in Bipolar Disorder
If mania and depression are part of the same pathological processes, one would predict that episodes of one prospectively increase the odds of episodes of the other. The aim of the present study was to test this hypothesis. For comparison purposes, their relationship was contrasted to the relationship between mania and periods of psychosis. Exploratory analyses also tested the degree to which episodes of each occur with greater frequency over time (i.e., kindling). Participants for the present study came from the Suffolk County Mental Health Project (N = 628), a study of first-admission patients with psychosis. Of these participants, 144 met diagnostic criteria for bipolar I disorder and were analyzed for the current study. Results indicated that mania in a given month predicted depression the following month, even after controlling for other symptoms. The reverse, however, was not the case. Mania and psychosis, in contrast, were found to be robust predictors of one another from month to month. Effects were not due to treatment or demographic differences. These findings provide evidence that mania and depression are weakly related. In contrast, mania and psychosis are more closely linked. Findings are consistent with suggestions that psychiatric nosology regroup mania more closely with thought disorders rather than with internalizing or depressive ones. They also alert clinicians to the strong, longitudinal persistence and comorbidity among these syndromes.
Development and Testing of Gold(I) and Europium(III) Based Sensors for Environmental Applications
This dissertation focuses on the development, characterization, and analysis of luminescent materials and coatings for sensing applications, including CO2, heavy metals, and silver. Chapter 2 involves the use of a gold(I) pyrazolate trimer that is able to detect silver ions with an AgNP medium. Detection of silver is vital, because there is an influx of silver into our environment caused by the increased use of AgNP. Therefore, having a sensor that is able to differentiate between and detect only Ag ions is an important first step to solving the toxicity mystery of AgNPs. Chapter 3 focuses on the development of sensor coatings containing a Eu(III) based luminescent system for sensing dissolved CO2 without the aid of an absorption-based dye. It is well-known that monitoring CO2 levels in our environment is important since even at low concentrations it can cause adverse health effects to the human body. This work demonstrates a pH-sensitive Eu complex being used directly as a CO2 sensor without the aid of any other absorption-based dye. Chapter 4 explores the idea of developing a heavy metal sensor for lead and its ability to detect lead in wide concentration range upon changing the pH of the medium and the polymer matrix. Different heavy metals have toxicity at different concentrations, therefore, being able to change the dynamic range of the sensor is advantageous. This research is the first step towards developing a luminescent Pb sensor with a tunable dynamic range.
UV Magnetic Plasmons in Cobalt Nanoparticles
The main goals of this research were to fabricate magnetic cobalt nanoparticles and study their structural, crystal structure, optical, and magnetic properties. Cobalt nanoparticles with average particle size 8.7 nm were fabricated by the method of high temperature reduction of cobalt salt utilizing trioctylphosphine as a surfactant, oleic acid as a stabilizer, and lithium triethylborohydride as a reducing reagent. Energy-dispersive X-ray spectroscopy (EDX) analysis confirmed the formation of cobalt nanoparticles. High resolution transmission electron microscopy images show that Co NPs form both HCP and FCC crystal structure. The blocking temperature of 7.6 nm Co NPs is 189 K. Above the blocking temperature, Co NPs are single domain and hence showed superparamagnetic behavior. Below the blocking temperature, Co NPs are ferromagnetic. Cobalt nanoparticles with a single-domain crystal structure support a sharp plasmon resonance at 280 nm. Iron nanoparticles with average particle size 4.8 nm were fabricated using chemical reduction method show plasmon resonance at 266 nm. Iron nanoparticles are ferromagnetic at 6 K and superparamagnetic at 300 K.
Diverse Learners in the Classroom: Students with Special Needs Enrolled in Science, Technology, Engineering, and Mathematics (STEM) Texas Public Classrooms
The purpose of this study was to determine if students with special needs participating in an inclusive classroom can learn the skills related to a STEM career as compared to the general student population. The study involved seventh grade students from two rural middle schools in north central Texas and was framed through a constructivist lens using a quasi-experimental design with a convenience sample. The Solenoid Invention Kit Assessment and the STEM Semantics Survey used in this study were used from a previously large existing dataset from a grant funded by the National Science Foundation for Innovative Technology Experiences for Students and Teachers. Findings suggested that there were no significant differences between the general student population and students with special needs. However, STEM coursework in an inclusive classroom may impact students' decision to pursue STEM careers.
Ensemble Singing in the Bel Canto Salon Repertory: A Pedagogical Reconsideration
Vocal duets have had a long history in the Western classical music tradition. Their use as a teaching resource can be traced back to the Renaissance, where duets were used for the development of singing, performance, and musicianship. In the late 19th and all of the 20th centuries, this pathway of vocal pedagogy has markedly declined. This study proposes a reintroduction of this methodology of teaching, asserting that it provides the collegiate vocal student with maximum opportunity for growth and development in terms of technique, musicianship, ensemble skills, and performance development. Four vocal duets ("La pesca," "Il brindisi," "Il gallop," and "La caccia") of Saverio Mercadante (1795-1870) serve as the point of discussion. These songs from Les soirées italiennes (C.1836), which are representative of the salon culture of the 19th century, are given detailed attention through a discussion of their pedagogical value. Since they are long out of print, a new performance edition is presented.
Given That the Body Was Made
A collection of poems that explores notions of disability, family, and belief, with a preface that meditates on questions related to the ethical ramifications of various approaches to the making of poetry and art that takes up the suffering of others as subject matter.
The Effect of Processing Conditions on the Surface Morphology of Few-Layered WS2 Thin Films
Recent progress in layered transition metal dichalcogenides (TMDs) has led to various promising electronic and optoelectronic applications. However, the structure of materials plays a critical role in electronic and optoelectronic devices, and determines performance. Electronic and optoelectronic devices typically consist of multiple layers that form electrical homojunctions or heterojunctions. Therefore, in a device it can be expected that a WS2 layer may serve as the substrate for a subsequent layer in a multilayer device stack and determine how the layer grows. In transistor structures, roughness at the channel/gate dielectric interface introduces field variations and charge scattering. Therefore, understanding the relations between processing, surface morphology and properties is important. In this project, the effects of pulsed laser deposition (PLD) processing conditions on the surface morphology of few layered WS2 films were studied. WS2 films were synthesized under processing conditions that represent the extremes of surface supersaturation and kinetic energy transfer from the flux to the growing films, and evolution of the surface morphology was studied. The specific conditions were 1Hz/50mJ, 10Hz/50mJ, 1Hz/300mJ, and 10Hz/300mJ respectively. Combining AFM, XRD and Raman analyses, it was determined that deposition at 10Hz/300mJ, provided the best structural properties and surface morphology. Growth appeared to be 3D-cluster, and was governed by supersaturation rather than by surface diffusion processes. No clear correlation between mobility and surface roughness was found. Hall measurements and XPS data show the highest mobility was obtained with the highest S/W ratio, indicating that point defect scattering rather than scattering from surface roughness was dominant.
Brazos
Brazos is a collection of poetry that comments on and critiques life in a small town in Texas. These poems situate the speaker both in this town and in spaces removed from the town, but the work always grapples with questions of how the speaker identifies himself via the relationship to that space. The creative portion is accompanied by a critical introduction that looks at the intersections of poetry and the lyric essay.
Turkish Gazis' (Injured Veterans) Transition into Civilian Life
The aim of this study was to describe the dimensions of Turkish Gazis' transition to civilian life, to explore the main factors that make this process easier or more difficult, and their psychological integration, that is, specifically, satisfaction with their life. To that end, this study examined the impact of combat-related traumatic stressor (e.g., functional limitations), personal resources (social support, sense of mastery), perceived mental health on Turkish veterans' adjustment into civilian life and their psychological integration. The data was collected in Turkey in 2015 by the researcher with the help of Türkiye Harp Malulü Gaziler Şehit Dul ve Yetimler Derneği, a non-profit veteran organization. The final sample included 240 Turkish Gazis. The level of perceived transition into civilian life and veterans' life satisfaction were the dependent variables in this study. A series of ordinary least squares (OLS) regression was conducted. Hayes' PROCESS macro 3.0 was utilized to measure the direct, indirect and moderation effects of variables on transition and life satisfaction among Gazis. The results demonstrated that perceived available social support, perceived sense of mastery and mental health partially mediated the association between Gazis' functional limitations and transition into civilian life and they fully mediated the association between functional limitations and life satisfaction. Among control variables, only household income predicted transition into civilian life, and place of residence was the only significant predictor of life satisfaction. However, neither social support nor mastery had moderation effect on the relationship between functional limitations and dependent variables. Policy implications and suggestions for further studies are also provided at the end of the dissertation.
Carbon Nanotubes and Molybdenum Disulfide Protected Electrodes for High Performance Lithium-Sulfur Battery Applications
Lithium-sulfur (Li-S) batteries are faced with practical drawbacks of poor cycle life and low charge efficiency which hinder their advancements. Those drawbacks are primarily caused by the intrinsic issues of the cathodes (sulfur) and the anodes (Li metal). In attempt to resolve the issues found on the cathodes, this work discusses the method to prepare a binder-free three-dimensional carbon nanotubes-sulfur (3D CNTs-S) composite cathode by a facile and a scalable approach. Here, the 3D structure of CNTs serves as a conducting network to accommodate high loading amounts of active sulfur material. The efficient electron pathway and the short Li ions (Li+) diffusion length provided by the 3D CNTs offset the insulating properties of sulfur. As a result, high areal and specific capacities of 8.8 mAh cm−2 and 1068 mAh g−1, respectively, with the sulfur loading of 8.33 mg cm−2 are demonstrated; furthermore, the cells operated at a current density of 1.4 mA cm−2 (0.1 C) for up to 150 cycles. To address the issues existing on the anode part of Li-S batteries, this work also covers the novel approach to protect a Li metal anode with a thin layer of two-dimensional molybdenum disulfide (MoS2). With the protective layer of MoS2 preventing the growth of Li dendrites, stable Li electrodeposition is realized at the current density of 10 mA cm−2; also, the MoS2 protected anode demonstrates over 300% longer cycle life than the unprotected counterpart. Moreover, the MoS2 layer prevents polysulfides from corroding the anode while facilitating a reversible utilization of active materials without decomposing the electrolyte. Therefore, the MoS2 protected anode enables a stable cycle life of over 500 cycles at 0.5 C with the high sulfur loading amount of ~7 mg cm−2 (~67 wt% S content in cathode) under the low electrolyte/sulfur (E/S) ratio of 6 μL mg−1. This …
Disasters, Smart Growth and Economic Resilience: An Empirical Analysis of Florida Cities
This dissertation examines the relationship between economic resilience, disaster experience, and smart growth policies at the local government level. The study is based upon three research questions that examine spatial distribution of economic resilience in Florida cities, and examines the impact of disaster experience, and smart growth policies adopted by local governments on economic resilience. Based upon the bounce-forward approach (Cowell, 2013; Klein et al. 2003), economic resilience is defined using three dimensions—economic stability, economic equity, and economic diversity. The spatial analysis is conducted by mapping economic resilience scores across 780 Census Designated Places in Florida through standard deviation method of classification, and conducting cluster-outlier analysis. Results suggest difference in economic resilience within coastal and inland communities—with higher scores mostly situated inland. East Central Florida, Tampa Bay, and South Florida were identified as high economic resilience clusters, and Northwest Florida was identified as low resilience cluster. Impact of disaster experience, and smart growth policies on economic resilience was examined based upon logic of focusing events by Birkland (1997, 2010). Data was collected from the U.S. Census, the National Climatic Data Center, and the Energy Sustainable Florida Communities Survey conducted by Florida State University in 2009. Results suggest significant association between disaster experience of communities and their level of economic resilience, highlighting the importance of community learning in building capacity for resilience after disasters. The results also highlight the need of balancing mitigation and adaptation strategies. Mixed-use development policies, green building certification, and energy savings policies were found to have a significant positive impact on economic resilience.
Luigi Boccherini's Cello Concerto in B-Flat Major, G.482: Creating a Performance Edition through a Critical Study of the 'Original' Version and Friedrich Grützmacher's Edition
The Cello Concerto in B-flat major, G.482, by Italian composer Luigi Boccherini (1743-1805), is the composer's most beloved work for the instrument, as well as one of the most performed pieces in the Classical concerto repertoire. Historically, cellists performing this work have used an edition prepared by German cellist Friedrich Grützmacher (1832-1903). However, an 'original' version that was discovered in 1949 is significantly different from that of Grützmacher. A comparison of both editions has revealed that Grützmacher in fact made considerable modifications to Boccherini's 'original.' Along with the issue of having two editions, cellists that have played the 'original' edition have noted that there are certain practical and interpretative matters that are not favorable to the cellist, particularly in terms of the way the music is notated and how it lacks many details. This dissertation provides clarity to these issues by undertaking a comprehensive analysis of both editions in order to make cellists become aware of the differences between both editions by comparing musical elements from a performance practice viewpoint. In addition, I discuss relevant issues that are present in the 'original' version, ultimately providing an alternative performance edition to this score that is based on historically informed performance (HIP) practices. Finally, I hope to draw attention on how a performance edition like this can be useful as a rare critical source to one of the major works from the eighteenth-century cello repertoire.
A Study of Selected Pedagogical Aspects of Two Intercultural Pieces for Late Intermediate and Early Advanced Students: "Variations sur un thème populaire coréen" by Sung-Ki Kim and "Six Pieces for Piano ‘Nori'" by Chung-Sock Kim
I contend that young students should be introduced to intercultural contemporary music, as this exposure brings benefits to their artistic development and fosters appreciation of other cultures. Variations sur un thème populaire coréen by Sung-Ki Kim (b. 1954) and Six Pieces for Piano ‘Nori' by Chung-Sock Kim (b. 1940) are effective pedagogical works that fit perfectly into the intercultural mold mentioned above, and both are suitable for late intermediate or early advanced level students. A detailed comparison of these two works can help instructors understand the ways by which these composers incorporate Korean folk materials and blend them with Western contemporary techniques. An analysis of Sung-Ki Kim's Variations sur un theme populaire coréen and Chung-Sock Kim's Six Pieces for Piano ‘Nori' can be divided into three categories: harmony, rhythm, and performance-related aspects. By analyzing these two pieces, these study illustrates in greater depth their intercultural aspects, showing the way by which both composers merged traditional Korean folk idioms through the inclusion of traditional Korean rhythms, and the imitation of sounds of several traditional Korean instruments with Western contemporary technique such as non-traditional sounds and use of sostenuto pedal. Finally, this study provides some practicing suggestions and listing exercise on how to practice musical and technical challenges.
Modeling Marijuana Use Willingness and Problems as a Function of Social Rejection and Social Anxiety
Marijuana is the second most commonly used substance in the US. A growing literature suggests that socially anxious individuals use marijuana to manage their symptoms in social situations, which may explain why they are also more likely to experience problems. Unfortunately, the majority of the literature is based on research conducted with adult samples or the co-occurrence of diagnoses in adolescent samples. The proposed study sought to test the link between social anxiety (SA) and proxies for ‘real-time' marijuana use behaviors (i.e., use willingness) as well as use-related problems among adolescents. Participants were 69 adolescents (15-17; 55% female) recruited from the community reporting any lifetime marijuana use. Participants were randomly assigned to a novel social rejection or neutral laboratory task and completed measures of SA, marijuana use frequency, and related problems. Consistent with adult findings, main effects of SA and experimental condition on marijuana use willingness were expected to be qualified by an interaction in which the greatest marijuana use willingness would occur among high SA youth post-rejection (H1), SA would be positively related to marijuana use problems (H2), and among adolescents in the rejection condition, marijuana use willingness would be positively correlated with use problems (H3). Only H2 was supported, highlighting areas of convergence and divergence in the role of SA and social stress on marijuana outcomes. These data stand to improve the scientific knowledge on the relative roles of SA and social stress on marijuana use within an understudied, high-risk population and help inform future intervention efforts.
How the Conflict of Autonomous and Controlled Motivation Influences Sales Controls to Inside Sales Agents' Work Outcomes
Through the use of multiple methodologies and analytical approaches, this dissertation combines (1) sales control; (2) call center service; and (3) motivational theory to extend sales control literature beyond its current state, to consider the conflicting motivational perspectives an inside sales agent has to experience. To achieve this unification, this dissertation consists of three essays intended to: (1) identify the influence of autonomous and controlled motivation on operational sales outcome controls and performance; (2) explore the influence these motivators have on sales controls and sales performance; and, (3) understand the impact of autonomous and controlled motivation on sales agent tenure.
John La Montaine's "Songs of the Rose of Sharon" and "Fragments from the Song of Songs": A Socio-Historical Analysis and Performer's Guide
The purpose of this research is to examine John La Montaine's only two song cycles for soprano and orchestra, Songs of the Rose of Sharon, opus 6 (1947) and Fragments from the Song of Songs, opus 29 (1959). In this investigation-the first ever specific to these works-I examine the works and cultural context in which they were created. I then evaluate the reasonable possibility that La Montaine used his public platform as a composer and performer to subtly celebrate taboo themes of feminism, sexuality, and blackness while shining a light on human injustice. Through close examination of social and historical context, I argue two points. Firstly, Rose of Sharon and Fragments are landmark American works. They are anomalies in classical music history in that a white male heralds texts about a black woman in an unlikely time in American history, thus arguably becoming an unlikely part of the evolution of African-American women in artistic endeavors. Secondly, in the performance guide, I advocate that these works would readily adapt to a staged performance. I discuss how La Montaine's musical settings illustrate the inherent drama of the text, provide a context for interpreting the protagonist in Rose of Sharon and Fragments, and present an interpretation of how these works could be staged. The ultimate goal of this research is to bring these intricately crafted masterpieces to the attention of singers and voice teachers so that they may assume their rightful place in the repertoire.
Depression, Religious Behaviors and Social Support as Predictors of Health-Related Quality of Life among HIV Positive Individuals
The goal of the current study was to evaluate the ways in which religious behaviors and perceived social support are associated with the relationship between depressive symptoms and health-related quality of life for this group. We hypothesized (1) that religious behaviors moderate the relationship between depressive symptoms and health-related quality of life, (2) perceived social support mediates the relationship between depressive symptoms and health-related quality of life and (3) that religious behaviors moderate the mediational indirect effect of perceived social support in the depression and health-related quality of life relationship. Findings from a sample of 244 HIV-positive individuals provided evidence to support direct, conditional, and indirect effects on the depressive symptoms and health-related quality of life relationship. A discussion of the findings, implications for future research and clinical practice are provided.
Lookouts
Lookouts follows Matt and Joann, two fire tower lookouts for the United States Forest Service, as they discuss their happiness living in seclusion as well as the decline of fire towers due to technological advances.
Mining Biomedical Data for Hidden Relationship Discovery
With an ever-growing number of publications in the biomedical domain, it becomes likely that important implicit connections between individual concepts of biomedical knowledge are overlooked. Literature based discovery (LBD) is in practice for many years to identify plausible associations between previously unrelated concepts. In this paper, we present a new, completely automatic and interactive system that creates a graph-based knowledge base to capture multifaceted complex associations among biomedical concepts. For a given pair of input concepts, our system auto-generates a list of ranked subgraphs uncovering possible previously unnoticed associations based on context information. To rank these subgraphs, we implement a novel ranking method using the context information obtained by performing random walks on the graph. In addition, we enhance the system by training a Neural Network Classifier to output the likelihood of the two concepts being likely related, which provides better insights to the end user.
Faculty Characteristics and Program Budgets: Academic Capitalist Influences on Physical Therapy Graduate Outcomes
This study sought to observe the trends in physical therapy faculty members over time and to understand how those trends correlated with changes in program outcomes. Accreditation data from 231 programs between 2008 and 2017 was used in a panel analysis using fixed effects and random effects models to estimate the effects that faculty characteristics, program characteristics, and program budgets have on graduation rates, first-time licensure examination pass rates, and the percentage of graduates of color that a program produced. Results show that for a 1% increase in faculty time devoted to scholarship, a program could expect graduation rates to rise by 0.17%. For a one percentage point increase in grant-funded faculty, a program could expect a 1.7% increase in graduation rates. Results also indicated a negative linear relationship between the number of publications and graduation rates. First-time licensure exam pass rates had an association with different variables. For a 1% increase in part-time faculty, a program could expect a 6.4% decline in first-time licensure examination pass rates. Similarly, a 1% increase in tenured faculty was associated with a 1.2% decline in first-time licensure examination pass rates. A 1% increase in faculty of color was associated with an increase in graduates of color by 33%. This research study provides data to better inform interested parties on how changes in faculty makeup and program budgets can impact PT graduation rates, licensure pass rates, and the percentage of graduates of color that a program can realistically expect to produce.
Relationship Quality in Social Commerce Decision-Making
This research study involves three essays and examines CRQ-driven decision making from the points of view of the common firm, social-commerce platform provider, and social-commerce echo-system. It addresses CRQ's progression from traditional business-to-consumer (B2C) initiatives to social platform-specific antecedents and to environment-driven factors lying outside the direct control of the platform provider, yet influencing social commerce business decisions, such as user-generated content from peers (e.g. family, friends) and expert authority (e.g. specialists, experts, professional organizations). The research method used statistical, data mining and computer science techniques. The results suggest that social platform providers should take a proactive approach to CRQ, fully leverage their online platform to improve CRQ while paying special attention to security as a potential barrier, and consider the analysis of elements of the echo-system such as the electronic word of mouth (eWOM) to further drive CRQ and determine the level of alignment between customers and experts, suppliers and products featured, that may lead to value-added managerial insights such as the prioritization, promotion and optimization of such relationships.
The Effect of Trauma Experiences and PTSD Severity on Positive Memory Recall and Memory Phenomenology
Positive memories play an important role in the etiology and maintenance of posttraumatic stress disorder (PTSD). Additionally, there are potential clinical benefits of recalling positive memories on affect, cognitions, and behaviors. However, most research/clinical work has focused on the role of traumatic memories in PTSD's symptomatology and treatment. The current study examined positive memory recall difficulties and positive memory phenomenology among 185 trauma-exposed individuals with varying PTSD severity. Participants completed the Life Events Checklist for DSM-5, PTSD Checklist for DSM-5, Autobiographical Memory Test, Memory Experiences Questionnaire – Short Form, Ruminative Thought Style Questionnaire, Difficulties in Emotional Regulation Scale – Brief 16-Item Version, Difficulties in Emotional Regulation Scale – Positive Emotions, the Positive Affect subscale of the Affective Control Scale, and two items from the Pittsburg Sleep Quality Index. Results showed that (1) greater PTSD severity was a marginally significant predictor of fewer recalled positive memories; (2) greater positive emotional dysregulation predicted fewer recalled positive memories controlling for PTSD severity; and (3) increasing PTSD severity predicted more negative valence, less vividness, less coherence, less accessibility, less clear time perspective, fewer sensory details, and greater distancing ratings of the recalled positive memory, controlling for sleep quantity/quality. Such findings add to the PTSD-positive memory literature by informing PTSD theoretical perspectives; enhancing an understanding of if/how positive memories may be incorporated into PTSD treatments; and highlighting potential clinical targets, such as positive emotional regulation skills, when integrating a focus on positive memories into PTSD intervention.
Your Blues Ain't Like Mine: Voices from the Other Side of the Color Line
This dissertation examines intra-racial colorism in works by writers who began their careers during the Harlem Renaissance, but whose writings span almost a century. In these writings, colorism; which can be defined as a bias directed toward an individual that is based on skin tone, is portrayed an intra-racial practice that results from the internalization of racist ideals. The practice relies on a hierarchy that most often privileges those closest to the color line. However, these depictions also show that the preponderance of skin tones can sometimes determine who is targeted. For the purposes of this study it is called reverse colorism when the bias is directed by individuals darker in skin tone toward those who are lighter. Consequently, the careful descriptions of the shades and hues of black characters becomes more than aesthetics and can be seen as a coded reference to experiential differences. While Alain Locke hailed the start of the Harlem Renaissance to signal the rise of The New Negro, the writings featured by female writers in this dissertation advance a less optimistic reality for women, who had to contend with both inter- and intra-racial bias because of their skin tone. Colorism is identified as a particularly prevalent presence in the lives of black women, who also saw skin tone subjectively and viewed themselves as darker than their male counterparts.
Ligand Effects in Gold(I) Acyclic Diaminocarbene Complexes and Their Influence on Regio- and Enantioselectivity of Homogeneous Gold(I) Catalysis
This dissertation focuses on the computational investigation of gold(I) acyclic diaminocarbene (ADC) complexes and their application in homogeneous gold(I) catalysis. Chapter 2 is an in-depth computational investigation of the σ- and π-bonding interactions that make up the gold-carbene bond. Due to the inherent conformation flexibility of ADC ligands, distortions of the carbene plane can arise that disrupt orbital overlap between the lone pairs on the adjacent nitrogen atoms and the empty p-orbital of the carbene. This study investigated the affect these distortions have on the strength of the σ- and π-bonding interactions. This investigation demonstrated that while these distortions can affect the σ- and π-bonding interactions, the ADC ligand have to become highly distorted before any significant change in energy of either the σ- or π-bonding interactions occurs. Chapter 3 is a collaborative investigation between experimental and computational methods, DFT calculations were employed to support the experimental catalytic results and determine the role that steric effects have in controlling the regioselectivity of a long-standing electronically controlled gold(I)-catalyzed tandem 1,6-enyne cyclization/hydroarylation reaction with indole. This study demonstrated that by sterically hindering nucleophilic attack of indole at the favored position, nucleophilic attack would occur at a secondary position leading to the selective formation of the electronically unfavored product. Chapter 4 is a collaborative investigation between experimental and computational methods. DFT calculations were employed to investigate and rationalize the importance of secondary non-covalent interactions and their influence on the enantioselectivity of a gold(I)-catalyzed intramolecular hydroamination of allene reaction. Through computational investigation of the enantiodetermining step, and the non-covalent interactions present between 2′-aryl substituent and the rest of the catalyst, it was determined that the presence of CF3 group on the 3,5-position of the 2′-aryl ring is crucial to maintaining a more rigid chiral pocket leading to higher enantiomeric excesses in this dynamic system. …
489 Days
489 Days is an animated documentary about the harrowing experiences of Egyptian-American Mohamed Soltan, who survived 16 months of hunger strike in an Egyptian prison. Caught up in the political turmoil which followed the Arab Spring uprisings, Soltan was unjustly incarcerated between August 2013 and May 2015, when the United States government intervened to release him weeks after an Egyptian court sentenced him to life in prison. The film is also the larger story of an estimated 60,000 political detainees currently held in Egypt without due process, and in violation of local and international human rights conventions.
Complex-Restricted Repetitive Patterns of Vocal Behavior of Individuals with High Functioning Autism: An Innovative Intervention
Repetitive verbal patterns of speech are a trait associated with high-functioning autism (HFA). For some, this higher-order restricted, repetitive behavior impedes learning, social opportunities, and access to work environments. Despite emerging motivation for establishing social relationships, some individuals with HFA lack the behavioral prerequisites to establish meaningful relationships. The purpose of this study is to demonstrate the effectiveness of teaching interaction to decrease higher-order verbal restricted and repetitive behaviors (RRBs) for four adults with HFA. Through a multiple baseline design across participants, individuals were exposed to a function-based intervention (i.e., teaching interaction) that systematically taught and reinforced alternative communicative behaviors while interrupting repetitive speech with specific feedback. Teaching interaction effectively reduced RRBs and increased alternative conversation for all four participants. Three of the four participants elected to participate in post-intervention maintenance sessions that occurred in individualized naturalistic settings. Their conversation behaviors maintained with one participant receiving one booster session.
SurfKE: A Graph-Based Feature Learning Framework for Keyphrase Extraction
Current unsupervised approaches for keyphrase extraction compute a single importance score for each candidate word by considering the number and quality of its associated words in the graph and they are not flexible enough to incorporate multiple types of information. For instance, nodes in a network may exhibit diverse connectivity patterns which are not captured by the graph-based ranking methods. To address this, we present a new approach to keyphrase extraction that represents the document as a word graph and exploits its structure in order to reveal underlying explanatory factors hidden in the data that may distinguish keyphrases from non-keyphrases. Experimental results show that our model, which uses phrase graph representations in a supervised probabilistic framework, obtains remarkable improvements in performance over previous supervised and unsupervised keyphrase extraction systems.
Improving Actigraphy Specificity to Better Inform Insomnia Diagnosis and Treatment Decisions
Accurate assessment of sleep-wake patterns is important for sleep researchers and clinicians. Actigraphs are low-cost, non-intrusive, wrist-worn activity detectors used to estimate sleep-wake patterns in a natural environment for several nights. Although actigraphy shows good sensitivity (sleep detection), it has consistently demonstrated poor specificity (wakefulness detection while lying in bed relatively motionless). Because insomnia is characterized by wakefulness in bed, actigraphy may not be a valid objective measure of wakefulness for this group. It is possible that refinement of actigraphy software settings for sleep/wake algorithms might improve specificity. The current studies investigated this hypothesis by comparing wake parameters from 48 combinations of actigraphy settings to determine which sleep/wake algorithms best inform insomnia diagnosis and treatment. In the first study, none of the 48 actigraphy setting combinations consistently discriminated between adults with insomnia (n = 69) and non-insomnia (n = 80) on all three wake parameters, and no setting clearly discriminated between groups for the composite variable, total wake time. Similarly, in the second study, no setting combinations consistently discriminated between adults treated for insomnia (n = 18) and controls with untreated insomnia (n = 26) on all three wake parameters. Although two setting combinations discriminated between groups for the composite variable, total wake time, the values were extreme which raises validity concerns. Therefore, no actigraphy setting recommendations can be made based on the current findings. This research offers insights about the effects of actigraphy software settings on actigraphy specificity as it pertains to the diagnosis and treatment of insomnia.
The Last Karankawas: Stories
A collection of interconnected short stories set in diverse corners of Texas, converging on Galveston Island before and after Hurricane Ike.
Psychological Well-Being and Family Functioning in Middle Childhood: The Unique Role of Sibling Relational Dynamics
The current study examined associations between perceived family functioning, sibling relational dynamics, and individual's self-reported personal adjustment and internalizing problems among 8- to 11-year old children. Path analyses revealed significant direct effects between conflictual family functioning and children's psychological well-being (p < 0.05). Further, sibling conflict was found to indirectly affect these associations. Finally, significant interactions between family functioning and sibling dynamics were found suggesting that congruent relational dynamics at multiple levels of the family system had a cumulative impact on the child's well-being. Findings from the current study highlight the unique contributions of sibling relationships to the family and the child providing evidence for targeting the sibling relationship in clinical interventions and future family research.
Universal Suicide Risk Screening in the Parkland Health and Hospital System: Evaluation of the Parkland Algorithm for Suicide Screening
Suicide is a significant public health issue in the US. Despite national and international prioritization since 1996, little definitive progress has been made in terms of identification and intervention in cases of elevated suicide risk. Forty percent of those who died by suicide attended an emergency department within a year of death. Therefore, universal suicide risk screening in emergency departments could prove a vital component to a national suicide prevention strategy. The present study empirically evaluated the universal suicide risk screening program recently implemented at Parkland Health and Hospital System. The sample consisted of patients over 18 years of age (N=333,855; Mage=42.7, 32% male) screened as part of routine clinical care from May 4th, 2015, through November 3rd, 2015. The Parkland Algorithm for Suicide Screening (PASS) is part of a clinical decision support system for responses to Columbia - Suicide Severity Rating Scale Clinical Practice Screener (C-SSRS) items, leading to an automated clinical response via three suicide risk stratification levels: no action for no risk identified, psychiatric social worker assessment for moderate risk identified, and psychiatrist/psychologist interview for high risk identified. The present study used receiver operating characteristic (ROC) curve analysis, which found the PASS predicted disposition (z=30.46, p<.001, AUC=.78, CI95=.77, .81). This study also evaluated the cutpoints separating suicide risk stratification and levels of clinical response. The results supported the first cutpoint and highlighted a need for additional data to address the second cutpoint. The results of the present study suggest that the universal suicide risk screening program at Parkland Health and Hospital System is an important step toward addressing suicide prevalence in the US.
A Pedagogical Guide to the Piccolo Trumpet
The modern piccolo trumpet is required by professional trumpet players for the performance of solo repertoire, chamber music, orchestra, and wind band. Students in universities around the world study the piccolo trumpet in preparation for professional careers, but relatively few pedagogical tools exist to specifically focus on the nuanced techniques of the instrument such as articulation, range, and sound production. The purpose of this project is to create a pedagogical guide that can serve as a method for students learning the modern piccolo trumpet.
Deep Learning Approach for Sensing Cognitive Radio Channel Status
Cognitive Radio (CR) technology creates the opportunity for unlicensed users to make use of the spectral band provided it does not interfere with any licensed user. It is a prominent tool with spectrum sensing functionality to identify idle channels and let the unlicensed users avail them. Thus, the CR technology provides the consumers access to a very large spectrum, quality spectral utilization, and energy efficiency due to spectral load balancing. However, the full potential of the CR technology can be realized only with CRs equipped with accurate mechanisms to predict/sense the spectral holes and vacant spectral bands without any prior knowledge about the characteristics of traffic in a real-time environment. Multi-layered perception (MLP), the popular neural network trained with the back-propagation (BP) learning algorithm, is a keen tool for classification of the spectral bands into "busy" or "idle" states without any a priori knowledge about the user system features. In this dissertation, we proposed the use of an evolutionary algorithm, Bacterial Foraging Optimization Algorithm (BFOA), for the training of the MLP NN. We have compared the performance of the proposed system with the traditional algorithm and with the Hybrid GA-PSO method. With the results of a simulation experiment that this new learning algorithm for prediction of channel states outperforms the traditional BP algorithm and Hybrid GA-PSO method with respect to classification accuracy, probability of misdetection, and Probability of false alarm.
The Role of Male Fashion in Protests against the Majority Culture: An Exploratory Study
Throughout history, the Black Diaspora has used fashion as a form of protest. The element of fashion is often overlooked when considering the history and struggle for Black equality, because it is less tangible or definable in terms of its influence and effect, but it is still important because Black males resist the dominant culture via dress by dressing in military uniforms, creating their own style, and using different colors in their dress. Studying the Black struggle in American history during specific periods is one way to better understand opposition to the majority culture through fashion. We should also consider the mood of a social system when examining the dress of a particular group during conflicts. Hence, the purpose of this study is to investigate the role of fashion as a protest tool against the majority culture, and the social mood that affects the fashion choices of Black males. The study focuses on Black fashion from 1910 to 2015. Text data were collected and analyzed from articles published in The Crisis magazine, and men's fashion was specially examined. Additionally, images were studied via visual ethnography and images were coded based on color choice, fit, and accessories. For conducting sentiment analysis, lexicons were used, and the text was examined for negative sentiment. The overall negative sentiment of the document was obtained. Graphical analyses are included to present the findings. The findings, conclusions, limitations, and future research are discussed.
Spatial Partitioning Algorithms for Solving Location-Allocation Problems
This dissertation presents spatial partitioning algorithms to solve location-allocation problems. Location-allocations problems pertain to both the selection of facilities to serve demand at demand points and the assignment of demand points to the selected or known facilities. In the first part of this dissertation, we focus on the well known and well-researched location-allocation problem, the "p-median problem", which is a distance-based location-allocation problem that involves selection and allocation of p facilities for n demand points. We evaluate the performance of existing p-median heuristic algorithms and investigate the impact of the scale of the problem, and the spatial distribution of demand points on the performance of these algorithms. Based on the results from this comparative study, we present guidelines for location analysts to aid them in selecting the best heuristic and corresponding parameters depending on the problem at hand. Additionally, we found that existing heuristic algorithms are not suitable for solving large-scale p-median problems in a reasonable amount of time. We present a density-based decomposition methodology to solve large-scale p-median problems efficiently. This algorithm identifies dense clusters in the region and uses a MapReduce procedure to select facilities in the clustered regions independently and combine the solutions from the subproblems. Lastly, we present a novel greedy heuristic algorithm to solve the contiguity constrained fixed facility demand distribution problem. The objective of this problem is to create contiguous service areas for the facilities such that the demand at all facilities is uniform or proportional to the available resources, while the distance between demand points and facilities is minimized. The results in this research are shown in the context of creating emergency response plans for bio-emergencies. The algorithms are used to select Point of Dispensing (POD) locations (if not known) and map them to population regions to ensure that all affected individuals are …
A Smart Tale: An Examination of the Smart City Phenomena through the Lens of a Case Study
This dissertation addresses research questions related to defining a smart city and the associated activities. The general research question is explored in the dissertation via the conduct of three related studies. The finding from these three investigations are presented in the results section as 3 essays that collectively examine the smart city phenomena as it has emerged within the City. Essay 1 assesses building municipal open data capability. The study proposed an Opendata Roadmap Framework to enhance the organization's dynamic capability. The results provide a valuable practical framework to help cities develop open data capability. The results also provide a comparative study or benchmark for similar initiatives with other regional cities and within the nation. Essay 2 measures the residents' understanding and beliefs about smart cities. This portion of the research used a qualitative method that included interviewing residents and city officials to understand their definition of a smart city and what they believe makes a city smart. The interviews focused on understanding resident engagement because it is an important characteristic of a smart city. The gap between the city officials and residents understanding was examined. In addition, the interviews help identify essential factors associated with smart cities like trust in government, perceived security, perceived privacy, trust in technology, and perceived monetary value. Essay 3 examines the acceptance of smart city technologies and factors that affect the adoption of such technologies. This essay uses the insights from the other two essays to propose a smart city Unified Theory of Acceptance and Use of Technology (UTAUT) extension labelled Smart City UTAUT (SC-UTAUT). The new proposed model was tested using a survey method. The 1,786 valid responses were used to test the proposed structural equation model using Smart PLS. Results show a significant relationship between trust in technology, trust in government, perceived …
Measurement of Positive Continuance Intention Drivers within a Service Domain
The contribution of this dissertation is how model measurement allows examination of the balance between what is practical in terms of consumer concerns versus what is optimal in terms of cost control. Essay 1 examines a research framework that incorporates various service recovery strategies and simultaneously evaluates their comparative influences. Essay 2 evaluates the complex interrelationships among different factors related to the post-complaint behavioral process. Essay 3 fills a research gap by examining the role of brand equity by operationalizing a reflective model using PLS in operations management (OM) research. These three essays provide insight into the quality management domain and the value that is achieved via a data driven examination of theory. Moreover, this research will provide operations management practitioners a basis to carry out future research on quality management phenomena as well as insight into how to balance cost control and service recovery strategies with the goal of achieving a competitive advantage.
Nano-Manufacturing of Catalytic Amorphous Alloys
In this dissertation, nano-manufacturing of amorphous alloys for electro-catalytic applications is reported and the role of chemistry and active surface area on catalytic behavior is discussed. The catalytic activity of recently developed platinum and palladium-based metallic glasses was studied using cyclic voltammetry and localized electrochemical techniques. The synergistic effect between platinum and palladium was shown for amorphous alloys containing both these elements. The mechanism for superior catalytic behavior was investigated through electronic structure and surface chemical state of the alloys. A correlation between the work function and catalytic performance of the amorphous alloys with widely varying chemistries was established. To address the high cost associated with the noble-metal containing catalysts, the performance of non-noble Ni-P amorphous catalyst was evaluated for electro-catalysis. A facile pulsed electrodeposition approach was used for the nano-manufacturing of these amorphous catalysts. This nano-manufacturing route allowed the synthesis of fully amorphous nano-wires at room temperature for alloys with little or no noble-metal content. A wide range of nano-wires with varying aspect ratios from 25 to 120 was synthesized using commercially obtained anodic aluminum oxide (AAO) nano-molds. Cyclic voltammetry and chrono-amperometry demonstrated superior performance in terms of electrocatalytic activity and stability of the metallic glass nano-wires towards electro-oxidation of methanol. The mechanism for amorphization during pulsed electrodeposition is discussed and compared with the conventional approach of rapid quenching of the liquid melt.
"Teach Me, Toward Me": Returning the SISTAH to the SISTAH: Exploring the Use of Afrocentric Pedagogy and Andragogy for Black Women in the Higher Education Classroom
The purpose of the study was two-fold. First, the study explored how self-identified Afrocentrist professors in higher education utilized Afrocentric pedagogy and andragogy to address the learning needs of students, specifically Black women students. Second, the study explored the ways in which Black women students experienced that learning in the higher education classroom. The purpose was advanced through an in-depth analysis of Afrocentric teaching and learning in the higher education. A sample of five self-identified Afrocentric faculty members - three females and two males - and five Black women students who studied with those professors was identified. Participants were interviewed individually in-person and by telephone. Data analysis resulted in the themes of the importance of living an Afrocentric life in which the African body is centered and elevated, rejection of European dominance and universalism, re-routing history, and introducing Afrocentricity as a methodology from which to analyze human life. These themes presented core values, approaches, practices and characteristics utilized in Afrocentric teaching. Findings also showed that the Black women student participants received multiple benefits from receiving an Afrocentric education that assisted them in their journeys through higher education. Study findings provided a foundation for the guidebook "Teach Me, Toward Me Kuongoza, "a tool for educators who choose to explore the Afrocentric journey, and for those who are curious about Afrocentricity's intent. The guidebook may be utilized by higher education institutions with a commitment to the academic lives of their Black students as well as those of diverse cultural backgrounds.
A Further Evaluation of Individual and Synthesized Contingencies within Functional Analysis Methods
A functional analysis (FA) is the most commonly used assessment methodology for identifying maintaining variables influencing problem behavior. However, if an FA does not produce clear differentiation, researchers and practitioners often then modify procedures to include additional individualized variables. The interview-informed synthesized contingency analysis (IISCA) provides a marked departure from FA methodology and aims to include individualized factors at the initiation of the assessment in order to more rapidly produce differentiation and clear results. We sought to further evaluate and compare the outcomes of two different functional analysis methods: the single-contingency functional analysis (FA) and the interview-informed synthesized contingency analysis (IISCA) to determine the function of problem behavior and evaluate the subsequent function-based treatment determined from the functional analysis results with two children diagnosed with autism spectrum disorder (ASD). Both participants engaged in problem behavior maintained by single-contingencies of reinforcement identified within the single-contingency FA and emphasized by the effectiveness of each single-contingency function-based treatment.
Analysis of Regional Magazine Content and Engagement on Twitter
This two-part mixed-methods study analyzed the Twitter activity of two regional magazines – D Magazine and Texas Monthly – and how social media editors implement strategies to maintain journalistic integrity (news values, topics, and ethical standards) while increasing engagement.
Quantile Regression Deep Q-Networks for Multi-Agent System Control
Training autonomous agents that are capable of performing their assigned job without fail is the ultimate goal of deep reinforcement learning. This thesis introduces a dueling Quantile Regression Deep Q-network, where the network learns the state value quantile function and advantage quantile function separately. With this network architecture the agent is able to learn to control simulated robots in the Gazebo simulator. Carefully crafted reward functions and state spaces must be designed for the agent to learn in complex non-stationary environments. When trained for only 100,000 timesteps, the agent is able reach asymptotic performance in environments with moving and stationary obstacles using only the data from the inertial measurement unit, LIDAR, and positional information. Through the use of transfer learning, the agents are also capable of formation control and flocking patterns. The performance of agents with frozen networks is improved through advice giving in Deep Q-networks by use of normalized Q-values and majority voting.
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