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Master's Recitals
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World War II Pacific Theater (Island Hopping) Oral History Project
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North Texas lives of musicians series
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Music
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455 Matching Results
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Independence of Mania and Depression across 4 Years in Bipolar Disorder
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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 …
Date:
May 2019
Creator:
Bennett, Charles B.
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Animals Alive and Dead
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Collection of poems.
Date:
May 2019
Creator:
Tieger, Leah
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Effect of Trauma Experiences and PTSD Severity on Positive Memory Recall and Memory Phenomenology
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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 …
Date:
May 2019
Creator:
Dolan, Megan
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Development and Testing of Gold(I) and Europium(III) Based Sensors for Environmental Applications
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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 …
Date:
May 2019
Creator:
Benton, Erin Nicole
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Computational Studies of C-H Bond Activation and Ethylene Polymerization Using Transition Metal Complexes
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This work discusses the C-H bond activation by transition metal complexes using various computational methods. First, we performed a DFT study of oxidative addition of methane to Ta(OC2H4)3A (where A may act as an ancillary ligand) to understand how A may affect the propensity of the complex to undergo oxidative addition. Among the A groups studied, they can be a Lewis acid (B or Al), a saturated, electron-precise moiety (CH or SiH), a σ-donor (N), or a σ-donor/π-acid (P). By varying A, we seek to understand how changing the electronic properties of A can affect the kinetics and thermodynamics of methane C–H activation by these complexes. For all A, the TS with H trans to A is favored kinetically over TS with CH3 trans to A. Upon moving from electron-deficient to electron-rich moieties (P and N), the computed C–H activation barrier for the kinetic product decreases significantly. Thus, changing A greatly influences the barrier for methane C–H oxidative addition by these complexes. Secondly, a computational study of oxidative addition (OA) of methane to M(OC2H4)3A (M = Ta, Re and A = ancillary ligand) was carried out using various computational methods. The purpose of this study was to understand how variation …
Date:
May 2019
Creator:
Parveen, Riffat
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Three Essays on Internet of Things Adoption and Use
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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.
Date:
May 2019
Creator:
Aldossari, Mobark
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Two Essays on Non-GAAP Reporting
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This dissertation investigates the interrelationships between a client's non-GAAP earnings disclosures, financial health (profit and loss status), and the external auditor's assessment of the client's going concern status. This dissertation comprises two essays. Essay 1 examines the informativeness and the quality of non-GAAP earnings disclosures in profit and loss firms separately. Using a large sample of non-GAAP earnings voluntarily disclosed by managers, I find that the informativeness and the quality of non-GAAP earnings vary in firms cross-classified by GAAP loss status and non-GAAP loss status. I also find that loss firms have higher quality non-GAAP exclusions relative to profit firms, although the expenses excluded by both profit and loss firms are associated with firms' future performance. Further, I posit and find that profit firms which voluntarily disclose non-GAAP losses have high-quality exclusions, while other non-GAAP reporting profit firms have low-quality exclusions. Having found that non-GAAP earnings in loss firms is opportunistic to some extent, I next study, in Essay 2, whether auditors understand the implications of low-quality non-GAAP reporting in these firms. Specifically, I examine 1) whether non-GAAP earnings disclosures are associated with the propensity of the auditor's going concern issuance to loss firms, and 2) whether non-GAAP earnings disclosures …
Date:
May 2019
Creator:
Nie, Dongfang
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Quantile Regression Deep Q-Networks for Multi-Agent System Control
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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.
Date:
May 2019
Creator:
Howe, Dustin
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Decision Making in Alternative Modes of Transportation: Two Essays on Ridesharing and Self-Driving Vehicles
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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.
Date:
May 2019
Creator:
Amirkiaee, Seyede Yasaman
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Given That the Body Was Made
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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.
Date:
May 2019
Creator:
Burke, Conor William
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems
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With the advent of information explosion age, larger capacity disk drives are used to store data and powerful devices are used to process big data. As the scale and complexity of computer systems increase, we expect these systems to provide dependable and energy-efficient services and computation. Although hard drives are reliable in general, they are the most commonly replaced hardware components. Disk failures cause data corruption and even data loss, which can significantly affect system performance and financial losses. In this dissertation research, I analyze different manifestations of disk failures in production data centers and explore data mining techniques combined with statistical analysis methods to discover categories of disk failures and their distinctive properties. I use similarity measures to quantify the degradation process of each failure type and derive the degradation signature. The derived degradation signatures are further leveraged to forecast when future disk failures may happen. Meanwhile, this dissertation also studies energy efficiency of high performance computers. Specifically, I characterize the power and energy consumption of Haswell processors which are used in multiple supercomputers, and analyze the power and energy consumption of Legion, a data-centric programming model and runtime system, and Legion applications. We find that power and energy …
Date:
May 2019
Creator:
Huang, Song
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Revealing the Positive Meaning of a Negation
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Negation is a complex phenomenon present in all human languages, allowing for the uniquely human capacities of denial, contradiction, misrepresentation, lying, and irony. It is in the first place a phenomenon of semantical opposition. Sentences containing negation are generally (a) less informative than affirmative ones, (b) morphosyntactically more marked—all languages have negative markers while only a few have affirmative markers, and (c) psychologically more complex and harder to process. Negation often conveys positive meaning. This meaning ranges from implicatures to entailments. In this dissertation, I develop a system to reveal the underlying positive interpretation of negation. I first identify which words are intended to be negated (i.e, the focus of negation) and second, I rewrite those tokens to generate an actual positive interpretation. I identify the focus of negation by scoring probable foci along a continuous scale. One of the obstacles to exploring foci scoring is that no public datasets exist for this task. Thus, to study this problem I create new corpora. The corpora contain verbal, nominal and adjectival negations and their potential positive interpretations along with their scores ranging from 1 to 5. Then, I use supervised learning models for scoring the focus of negation. In order to …
Date:
May 2019
Creator:
Sarabi, Zahra
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Flotsam: Men in Isolation
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An interrogation of male behavior in isolated masculine spaces through short stories, an essay, and chapters from a novel-in-progress.
Date:
May 2019
Creator:
Smith, Morgan Inigo
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Effect of Processing Conditions on the Surface Morphology of Few-Layered WS2 Thin Films
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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, …
Date:
May 2019
Creator:
Cai, Bimin
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Brazos
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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.
Date:
May 2019
Creator:
Carter, Justin
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data
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Consumer's opinions and sentiments on products can reflect the performance of products in general or in various aspects. Analyzing these data is becoming feasible, considering the availability of immense data and the power of natural language processing. However, retailers have not taken full advantage of online comments. This work is dedicated to a solution for automatically analyzing and summarizing these valuable data at both product and category levels. In this research, a system was developed to retrieve and analyze extensive data from public online resources. A parallel framework was created to make this system extensible and efficient. In this framework, a star topological network was adopted in which each computing unit was assigned to retrieve a fraction of data and to assess sentiment. Finally, the preprocessed data were collected and summarized by the central machine which generates the final result that can be rendered through a web interface. The system was designed to have sound performance, robustness, manageability, extensibility, and accuracy.
Date:
May 2019
Creator:
Wei, Jinliang
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Proximal Policy Optimization in StarCraft
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Deep reinforcement learning is an area of research that has blossomed tremendously in recent years and has shown remarkable potential in computer games. Real-time strategy game has become an important field of artificial intelligence in game for several years. This paper is about to introduce a kind of algorithm that used to train agents to fight against computer bots. Not only because games are excellent tools to test deep reinforcement learning algorithms for their valuable insight into how well an algorithm can perform in isolated environments without the real-life consequences, but also real-time strategy games are a very complex genre that challenges artificial intelligence agents in both short-term or long-term planning. In this paper, we introduce some history of deep learning and reinforcement learning. Then we combine them with StarCraft. PPO is the algorithm which have some of the benefits of trust region policy optimization (TRPO), but it is much simpler to implement, more general for environment, and have better sample complexity. The StarCraft environment: Blood War Application Programming Interface (BWAPI) is open source to test. The results show that PPO can work well in BWAPI and train units to defeat the opponents. The algorithm presented in the thesis is …
Date:
May 2019
Creator:
Liu, Yuefan
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Design, Synthesis and Characterization of Polymer and Protein Coated Hybrid Nanomaterials: Investigation of Prototypes for Antimicrobial and Anticancer Applications
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This work involves synthesis and characterization of isotropic and anisotropic noble metal nanoparticles for applications ranging from antimicrobial uses to anticancer applications. These nanomaterials are stabilized in genuinely benign biomaterials ranging from polymers to cross linked proteins for targeted cancer treatments. The nanoparticles are found to have tunable optical properties.
Date:
May 2019
Creator:
Korir, Daniel Kiplangat
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Transgender Representation in Mainstream Advertising
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This study focuses on the transgender community's presence and portrayal in advertisements that reach a broad, mainstream audience base. Through a mixed-methods use of focus groups and qualitative content analysis, the content, context, and framings of ads between the years 2015 and 2018 are explored to illustrate current portrayals of the trans community and how the industry is approaching this subcultural group. Its findings contribute to advertising research by exploring current trends in trans portrayals in the cultural context they exist. Because trans advertising in both LGBTQ+ publications and to mainstream audience is largely unexplored, this study seeks to begin a conversation among advertising professionals. The main objective is to ultimately improve the number of genuine, positive portrayals of trans people in advertising and hold the industry accountable for the role they play in serving this community.
Date:
May 2019
Creator:
Maxwell, Bailey
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Green Entrepreneurialism and the Making of the Trinity River Corridor: The Intersection of Nature and Capital in Dallas, Texas
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Since the adoption of neoliberalism, many cities have taken to integrating nature with capital accumulation to create a sense of place. This has been closely tied to urban greening, or green "revitalization." As part of curating this desired character, city governments are working to roll out plans to restore and renew neighborhoods using their natural landscapes through methods such as reforestation, the creation of parks, and commercial development. These cities, deemed Entrepreneurial cities, are increasingly incorporating natural or green spaces into their development of character as part of their branding schemes. This research focuses on the role of nature as the site of economic development and community revitalization within Dallas, Texas. This research examines how the City of Dallas uses nature to attract capital, and how the narratives of development relate to residents' visions for development in the historically neglected Joppa neighborhood in the Trinity River Corridor. Development near Joppa could be an example of how the natural landscape is being used to not only attract developers but also to bring a different ‘class' of resident into the area. By exploring this intersection of nature and capital in Dallas, we can better understand the nuanced ways through which the neoliberalization …
Date:
May 2019
Creator:
Krupala, Katie Ilene
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
"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
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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, …
Date:
May 2019
Creator:
Hazelwood, Ashley Marie
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Power of Place: A Qualitative Evaluation of Stream Monitoring Data Usage by Decision-Makers in Dane County, Wisconsin
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Has years of citizen-based nutrient sampling and baseline water quality monitoring efforts only had a "trivial" impact on natural resource management decisions? This thesis will explore this and other findings from a qualitative evaluation of the Rock River Coalition (RRC) citizen-based stream monitoring project in Dane County, Wisconsin, USA. These findings are the culmination of 47 semi-structured interviews with decision-makers from seven client-identified categories and participant observations of board meetings and other watershed groups. Interview questions focused on current strategies of data design and dissemination with the goal of constructing a clearer picture of existing data usage by Dane County decision-makers. In the wider picture of citizen science and community-based research, this case study aims to highlight barriers to data use and potential solutions. The results of this case study were understood through four key frames: (1) Bourdieu's concept of symbolic capital, (2) Barzilai‐Nahon's theory of network gatekeeping, (3) Newman et al.'s framework for leveraging the power of place, and (4) a Foucauldian approach to the production of scientific knowledge. The findings of this study highlight the presence of gatekeeping mechanisms within the scientific field as well as government institutions, problematize the practice of placemaking, assert there is untapped symbolic …
Date:
May 2019
Creator:
Semlow, Andrea R.
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Toward A Typology of eLancers: A Psychology of Working Perspective
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There is currently an increasing trend among the American working population to voluntarily join the gig economy. New terms like the gig economy, sharing economy, internet freelancing, and eLancing have been created to understand this emerging trend among today's workforce. There is a small, yet highly relevant, body of scholarly literature in human resource management that is focused specifically on the eLancing economy as a subset of the gig economy. The purpose of this research is to acknowledge and contribute to this timely literature, which has adequately recognized the enormous potential of this new trend of working. Grounded in the psychology of working theory, a theoretical typology of eLancers is proposed based on the workers' level of volition to be able to choose eLancing as their employment. Further, various predictors such as demographics and personality characteristics were explored on the basis of which eLancers can be classified into types. The study also proposes that different types of eLancers differ in their attitudinal and behavioral work and life outcomes. Prior research has shown that career decisions made by individuals with high work volition relate to higher levels of overall well-being. Hence, classifying eLancers on the basis of their varying levels of …
Date:
May 2019
Creator:
Philip, Jestine
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Insomnia and Cognitive Performance: A Systematic Review and Meta-Analysis
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Daytime cognitive performance and sleep/wake cycles are strongly interrelated, and cognitive dysfunction has been extensively investigated in relation to insomnia. However, methods and outcomes vary widely by study, making comparison difficult without more systematic evaluation. Review of the literature reveals discrepant findings for the relationship between both subjective and objective measures of cognitive performance and insomnia. The current meta-analysis included 42 studies investigating the relationship between insomnia and cognitive performance. Results confirmed the discrepant nature of previous findings and suggest that type of cognitive performance (e.g., simple attention, procedural memory, verbal functions) is important to consider when discussing the impact of insomnia. Mixed-effect meta-analysis of aggregate effect sizes suggest impairments in working memory, complex attention, and episodic memory are significantly associated with insomnia. Analysis of the grouped subjective cognitive performance effect size revealed no significant impact of insomnia. Average age and gender makeup of the sample, study quality, and type of insomnia measure (i.e., clinical or diagnostic criteria, validated scale, or single unvalidated item) did not consistently moderate findings. These results confirm the equivocal nature of the relationship between insomnia and cognitive performance. Overall, about 44% of the studies included in the analysis failed to use DSM or ICSD criteria …
Date:
May 2019
Creator:
Pinkston, Sophie Wardle
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library