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2,229 Matching Results
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A Behavior Analytic Account of Humor Responses: Taking a Joke Way Too Seriously
Compared to other examples of human behavior, humor responses have received relatively little attention from the scientific community and by the behavior analytic community in particular. This study investigated what some of the controlling variables for humans to emit a humor response may be. Participants were randomly presented two types of word sequences/jokes: one with a matching punchline and one without a matching punchline. Participants rated whether the jokes were funny or not funny, and reaction time was measured for all stimuli presented. Generally, the results showed that reaction times to punchlines rated as not funny were shorter than punchlines that were rated funny. These differences in reaction time were interpreted with priming, intraverbal control, and multiple control as an experimental foundation. Limitations include the absence of physiological measures due to COVID-19 restrictions and the forced choice of two rating responses. The implications of this research reveal opportunities for future research of humor responses.
Date:
December 2021
Creator:
Amezquita IV, Edward Brandon
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Leveraging Instructional Leadership to Build Teacher Efficacy in Title I Elementary Schools
By building self-efficacy in individual teachers and collective efficacy in grade level teams, principals can improve the instructional practices that take place on campuses. Instruction impacts student achievement. Principals indirectly impact student achievement through instruction that happens in the classroom. The purpose of this mixed methods study was to examine the relationship between the behavior of instructional leaders and teachers' self-efficacy and collective efficacy. Data collection tools included a survey, semi-structured interviews, and observations of interactions and behaviors of teachers and principals at two Title I elementary schools in a large suburban school district in the Dallas-Fort Worth metroplex. Teacher self-efficacy and collective efficacy were seen through the lens of classroom management, instructional strategies, group competency, student engagement and task analysis. Teacher efficacy at both schools were influenced by leadership behaviors through direct and indirect actions. Instructional leaders must be adept at using tools, such as PLCs and walkthroughs, to contextualize the needs of all stakeholders and bring about high levels of efficacy in teachers and student achievement.
Date:
December 2021
Creator:
Hall, Tracy
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Behind the Curtain of Public Space: Revealing the Narratives of Corporate Street Hawking in Globalizing Accra
All street hawkers are not the same in many Newly Industrialized Countries (NICs) of the global south as often portrayed by the media and documented in extant literature. This perception has created a gap in knowledge as researchers explore street hawking activities in NICs. In this study, I investigated a new informality trend of street hawking is coming into being within the capital city of Accra, Ghana. As governance is increasingly becoming entrepreneurial, informal activities are gradually becoming formal. Formal and registered businesses are increasingly capitalizing on hawking activities to occupy public spaces. The advent of the informality trend, I term corporate street hawking opens up new issues for the political economy, labor, and urban studies. By employing semi-structured interviews with 47 street hawkers in Accra, this paper sought to investigate three broadly interrelated questions. First, how do neoliberal policies impact the production of public space in Accra? Second, is corporate street hawking a form of creative destruction? Finally, how do corporate street hawkers practice agency within Accra?
Date:
December 2021
Creator:
Ansah, Hilary Ama
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Assessing the Clinical Experiences and Attitudes of Play Therapists Working with Children of Parental Substance Use
This study aimed to gain insight into the clinical practices and attitudes of currently practicing play therapists working with children with a parent with a substance use disorder. Participants in the study were play therapists credentialed by the Association for Play Therapy, either as a Registered Play Therapist™ or Registered Play Therapist-Supervisor™. A total of 198 play therapists participated in the study. Results demonstrated that variables including prior education, caseload of children affected by parental substance use, and the number of years since obtaining a mental health licensure explained 16% of the variance in participant attitude scores on the Drug and Drug Problems Perceptions Questionnaire (DDPPQ). Specifically, education (β = -.335, rs2 = .884, p < .001) was found to be a significant predictor of play therapist attitudes towards substance users as it explained 88% of the variance accounted for in the effect. Additionally, although not found to be significant, caseload (β = -.134, rs2 = .325, p = .058) was found to explain 33% of the variance accounted for in the effect. This initial exploration of play therapists' attitudes towards substance users provides strong evidence towards the importance of education and training in substance use disorders. Further exploration of …
Date:
December 2021
Creator:
Yurkovich, Chelsea V
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Choral Music of Elaine Hagenberg: From Process to Product to Performance
The Choral Music of Elaine Hagenberg explores the oeuvre of composer Elaine Hagenberg through a musicological, qualitative, and performance-based analysis of her compositional style that has led to her increasing acclaim. This study serves as the first primary source of scholarly output on her. Through an examination of her musical background as a pianist and choral educator, one can identify her principal sources of musical inspiration: text, nature, and her faith. Shaped by these experiences, her compositional philosophy encapsulates five elements of text, form, rhythm, melody, and harmony as she strives to produce singer-centric, authentic, and socially relevant compositions that unite people together. What begins as a consideration of her background and compositional process culminates in practical musical analysis and conducting and vocal considerations to aid future conductors in creating compelling performances of her works. The compositions discussed are As The Rain Hides The Stars (2015), O Love (2016), Song of Miriam (2019), My Companion (2019), and Alleluia (2020).
Date:
December 2021
Creator:
Cathlina, Francis
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Information and Self-Organization in Complex Networks
Networks that self-organize in response to information are one of the most central studies in complex systems theory. A new time series analysis tool for studying self-organizing systems is developed and demonstrated. This method is applied to interacting complex swarms to explore the connection between information transport and group size, providing evidence for Dunbar's numbers having a foundation in network dynamics. A complex network model of information spread is developed. This network infodemic model uses reinforcement learning to simulate connection and opinion adaptation resulting from interaction between units. The model is applied to study polarized populations and echo chamber formation, exploring strategies for network resilience and weakening. The model is straightforward to extend to multilayer networks and networks generated from real world data. By unifying explanation and prediction, the network infodemic model offers a timely step toward understanding global collective behavior.
Date:
December 2021
Creator:
Culbreth, Garland
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Manipulation of Lipid Droplet Biogenesis for Enhanced Lipid Storage in Arabidopsis thaliana and Nicotiana benthamiana
In this study, I examined the use of mouse (Mus musculus) Fat Specific Protein 27 (FSP27) ectopically expressed in Arabidopsis thaliana and Nicotiana benthamiana as a means to increase lipid droplet (LD) presence in plant tissues. In mammalian cells, this protein induces cytoplasmic LD clustering and fusion and helps prevent breakdown of LDs contributing to the large, single LD that dominates adipocytes. When expressed in Arabidopsis thaliana and Nicotiana benthamiana, FSP27 retained its functionality and supported the accumulation of numerous and large cytoplasmic LDs, although it failed to produce the large, single LD that typifies adipose cells. FSP27 has no obvious homologs in plants, but a search for possible distant homologs in Arabidopsis returned a Tudor/PWWP/MBT protein coded for by the gene AT1G80810 which for the purposes of this study, we have called LIPID REGULATORY TUDOR DOMAIN CONTAINING GENE 1 (LRT1). As a possible homolog of FSP27, LRT1 was expected to have a positive regulatory effect on LDs in cells. Instead, a negative regulatory effect was observed in which disruption of the gene induced an accumulation of cytoplasmic LDs in non-seed tissue. A study of lrt1 mutants demonstrated that disruption this gene is the causal factor of the cytoplasmic LD …
Date:
December 2021
Creator:
Price, Ann Marie
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Virtues in Vocal Pedagogy: An Exploratory Study of Character Strengths-Based Approaches in Historic Voice Instruction
Researchers of historic voice pedagogy texts have generally focused their objectives towards reviewing the recommendations of historic voice teachers pertaining to the physiological, acoustical, and musical elements of training singers; however, researchers have given less attention to the evidence of humanistic pedagogical elements presented by historic teachers of voice. This study aims to examine historic resources of vocal pedagogy for qualitative data representing exemplification of or advocacy for character strengths for voice teachers. Additionally, this study explores practical applications of character strengths within the context of the modern applied voice studio. In this context, character strengths are defined as the positive attributes of a personality that influence how a person thinks, feels, and behaves. In this document, historic pedagogical resources (N = 80) represent works published between 1811 and 1975. Using the scientifically validated VIA (Values-in-Action) Classification of Strengths, the relevant data extracted from these resources were categorized first into six virtues – wisdom, courage, humanity, justice, temperance, and transcendence. These data were further divided into the subcategories of character strengths based on descriptions located in seminal resources in character strengths research.
Date:
December 2021
Creator:
Tarr, Jeffrey Ronald
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Professional Identity and Participation in Activities Related to Evidence-Based Teaching among Four-Year College and University Biology Faculty
This study examined professional identity of biology faculty at four-year colleges and universities and the relationship between their perceived identity, as a scientist or a teacher, and their participation in activities related to evidence-based teaching practices. This study drew upon online survey results of 328 college and university biology faculty from across the country. Results from ordinary least squares regression indicated faculty who work at very high, high, and Master's institutions had higher perceptions of science identity. Nontenure track faculty showed higher perceptions of teaching identity. Additionally, the results of this study indicated a strong teaching identity and favorable views on evidence-based teaching related to greater participation in evidence-based teaching practices. Science identity, though positively relate to the outcome, was not a statistically significant predictor of participation in activities related to evidence-based teaching practices. An implication for practice is to recognize biology faculty members' use of newer teaching methods, such as demonstrations of student-centered teaching in lectures in promotion and tenure review. An important implication for future research would be to explore if recognition for outstanding teaching through promotion and tenure cause an increase in the number of faculty who gravitate toward more education-based scholarly activities and, in turn, develop …
Date:
December 2021
Creator:
Vance, Amy L.
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Body Doubles: Materiality and Gender Non-Binarism in Victorian Supernatural Fiction
This dissertation is a study of supernatural doubles in Victorian literature. It argues that these doubles expand our understanding of gender variance in the Victorian period. The texts in this dissertation privilege gender non-binarism through their depictions of materiality, gender embodiment, and temporality.
Date:
December 2021
Creator:
Schneider, Katherine
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Optimal Pair-Trading Decision Rules for a Class of Non-linear Boundary Crossings by Ornstein-Uhlenbeck Processes
The most useful feature used in finance of the Ornstein-Uhlenbeck (OU) stochastic process is its mean-reverting property: the OU process tends to drift towards its long- term mean (its equilibrium state) over time. This important feature makes the OU process arguably the most popular statistical model for developing best pair-trading strategies. However, optimal strategies depend crucially on the first passage time (FPT) of the OU process to a suitably chosen boundary and its probability density is not analytically available in general. Even for crossing a simple constant boundary, the FPT of the OU process would lead to crossing a square root boundary by a Brownian motion process whose FPT density involves the complicated parabolic cylinder function. To overcome the limitations of the existing methods, we propose a novel class of non-linear boundaries for obtaining optimal decision thresholds. We prove the existence and uniqueness of the maximizer of our decision rules. We also derive simple formulas for some FPT moments without analytical expressions of its density functions. We conduct some Monte Carlo simulations and analyze several pairs of stocks including Coca-Cola and Pepsi, Target and Walmart, Chevron and Exxon Mobil. The results demonstrate that our method outperforms the existing procedures.
Date:
December 2021
Creator:
Tamakloe, Emmanuel Edem Kwaku
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
A New Class of Stochastic Volatility Models for Pricing Options Based on Observables as Volatility Proxies
One basic assumption of the celebrated Black-Scholes-Merton PDE model for pricing derivatives is that the volatility is a constant. However, the implied volatility plot based on real data is not constant, but curved exhibiting patterns of volatility skews or smiles. Since the volatility is not observable, various stochastic volatility models have been proposed to overcome the problem of non-constant volatility. Although these methods are fairly successful in modeling volatilities, they still rely on the implied volatility approach for model implementation. To avoid such circular reasoning, we propose a new class of stochastic volatility models based on directly observable volatility proxies and derive the corresponding option pricing formulas. In addition, we propose a new GARCH (1,1) model, and show that this discrete-time stochastic volatility process converges weakly to Heston's continuous-time stochastic volatility model. Some Monte Carlo simulations and real data analysis are also conducted to demonstrate the performance of our methods.
Date:
December 2021
Creator:
Zhou, Jie
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Effects of a Contingent S-Delta
This thesis attempted a cross-species replication of Bland, et. al., 2018. Human participants went through a computerized, automated shaping procedure that trained them to click on and discriminate between a blue square (SD) and red square (S-delta) on a VR 12 schedule of reinforcement. Three conditions were then presented to the participants consisting of a baseline, punishment, and control condition. In the punishment and control conditions, the SD was replaced by the S-delta or a novel stimulus respectively for 1-second on a VR 5 schedule. With each click, the reaction time and specific object clicked on were recorded. While the present study partially replicated the effect seen in earlier research, our results suggest that, depending on the lens of analysis used, either a punishment or an extinction effect may be causing the results seen.
Date:
December 2021
Creator:
Ochoa, Jules A
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Perceptions of Charter School Administrators and Teachers about Factors Accounting for Academic Effectiveness
This qualitative case study examines academic performance effectiveness (or lack of effectiveness) of a charter school based on the perceptions of the administrator and teachers. This study explores what they perceived to be effective/ineffective, the reasons for this effectiveness/ineffectiveness, and the solutions to any identified challenges/problems at their charter school as they relate to students' academic performance. The participants in the study were from one charter school in a charter school system in North Central Texas. The study utilized surveys and interviews as sources of data that revealed administrator and teacher perception of what they considered to be the strengths and weaknesses of the school, factors accounting for the strengths and weaknesses, and possible solutions to the weaknesses of their charter school as related to students' academic performance. Five perceived strengths were identified to be instruction, curriculum, personnel, mission statement, and parent involvement. Likewise, three perceived weaknesses were identified to be instruction, curriculum, and parent involvement. Recommendations of the study for practitioners included recruitment and employment of preservice teachers from colleges and universities, partnering with alternative certification programs, creating a program of professional development, creating professional learning communities, creating a parent committee, and partnering with local agencies and community businesses. …
Date:
December 2021
Creator:
Hunter, Adrienne M
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos
Recently, disaster scene description and indexing challenges attract the attention of researchers. In this dissertation, we solve a disaster-related multi-labeling task using a newly developed Low Altitude Disaster Imagery dataset. In the first task, we realize video content by selecting a set of summary key frames to represent the video sequence. Through inter-frame differences, the key frames are generated. The key frame extraction of disaster-related video clips is a powerful tool that can efficiently convert video data into image-level data, reduce the requirements for the extraction environment and improve the applicable environment. In the second, we propose a novel application of using deep learning methods on low altitude disaster video feature recognition. Supervised learning-based deep-learning approaches are effective in disaster-related features recognition via foreground object detection and background classification. Performed dataset validation, our model generalized well and improved performance by optimizing the YOLOv3 model and combining it with Resnet50. The comprehensive models showed more efficient and effective than those in prior published works. In the third task, we optimize the whole scene labeling classification by pruning the lightweight model MobileNetV3, which shows superior generalizability and can disaster features recognition from a disaster-related dataset be accomplished efficiently to assist disaster recovery.
Date:
December 2021
Creator:
Li, Yuan
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Corrosion Mechanism and Prevention of Wire Bonded Device in Microelectronic Manufacturing and Spectroscopic Investigation of Copper Etch Chemical Equilibria for High Density Interconnect Application
In the first part of this dissertation work, Al bond pad corrosion behavior was investigated in the presence of common industrial contaminants such as chloride (Cl-) and fluoride (F-). Al corrosion while in direct contact with Cu displayed rapid hydrogen (H2) gas evolution and dendrite propagation. In contrast, Al without bimetallic contact showed only minor surface roughening. This observed difference in the corrosion mechanism between Cl- and F- is attributed to the solubility of the corrosion products (AlCl3 vs. AlF3) formed on the Al surface. Our subsequent work explored corrosion prevention inhibition of wire-bonded devices (WBD) in the Cl- environment. Our research shows that the Al bond pad was protected against corrosion by chemically modifying the surface of the Cu wires, thereby preventing the H2 evolution. The inhibitor was observed to be highly selective, thermally stable, hydrophobic, and cost-effective, making it viable for industrial application of this coating for Al bond pad corrosion prevention. In the second part of the dissertation work, we utilized a novel approach of using ultraviolet-visible spectroscopy (UV-Vis) as a chemical-sensitive monitoring tool of the chemical environment in Cu etch bath. The UV-Vis technique illuminates the roles of H+, Cl-, Cu+, and Cu2+ to the etch …
Date:
December 2021
Creator:
Ashok Kumar, Goutham Issac
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Modeling Email Phishing Attacks
Cheating, beguiling, and misleading information exist all around us; understanding deception and its consequences is crucial in our information environment. This study investigates deception in phishing emails that successfully bypassed Microsoft 365 filtering system. We devised a model that explains why some people are deceived and how targeted individuals and organizations can prevent or counter attacks. The theoretical framework used in this study is Anderson's functional ontology construction (FOC). The methodology involves quantitative and qualitative descriptive design, where the data source is the set of phishing emails archived from a Tier 1 University. We looked for term frequency-inverse document frequency (Tf-idf) and the distribution of words over documents (topic modeling) and found the subjects of phishing emails that targeted educational organizations are related to finances, jobs, and technologies. Also, our analysis shows the phishing emails in the dataset come under six categories; reward, urgency, curiosity, fear, job, and entertainment. Results indicate that staff and students were primarily targeted, and a list of the most used verbs for deception was compiled. We uncovered the stimuli being used by scammers and types of reinforcements used to misinform the target to ensure successful trapping via phishing emails. We identified how scammers pick their …
Date:
December 2021
Creator:
Almoqbil, Abdullah
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Understanding the RCS Way: A Study of Organizational Culture
The quality of workplace morale can positively and negatively affect employee engagement. Engaged employees are more likely to participate in active communication with one another. They are also more likely to adopt the organizational goals and work towards creating a productive work environment. Communication and engagement build trust. Established trust between employees and executive leadership is a delicate relationship to maintain, though it is necessary when contending with periods of stress. The organization profiled below experienced the stressor of needing to grow without alienating those afraid of change or used to operating in one predictable direction. There was a desire to generate engagement, build trust and make room for employee-directed change. This desire left the organization open to exploring its culture and its impact on employee engagement.
Date:
December 2021
Creator:
Terry, Vanessa S.
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Regulation of Receptors in Neuronal Cilia with Development, Seizures, and Knockouts: Implications for Excitability
Neurons commonly have a primary cilium, which is a non-motile organelle extending from the centrosome into the extracellular space. In most brain regions, neuronal cilia are enriched in either somatostatin receptor type 3 (SstR3) or melanin concentrating hormone receptor type 1 (MCHR1), or both. The present immunohistochemical study provides novel evidence that primary cilia regulate neuronal excitability via G-protein coupled receptors (GPCRs), and that their identity is governed by brain region and by competition, both in adulthood and in postnatal development. The hippocampus, which is particularly vulnerable to seizures, has opposing gradients of SstR3(+) and MCHR1(+) ciliary GPCRs. We hypothesized that there is a competition between these two ciliary GPCRs, which might take place on any level from gene expression to presence in the cilium. We examined whether receptor colocalization occurs transiently in development before ciliary GPCR dominance is established in neurons in the CNS. In postnatal CA1 and CA3, the first GPCR to appear in cilia was the one that will dominate in adults: MCHR1 in CA1 and SstR3 in CA3. Some days later, the second GPCR was expressed along with the first; dual-receptor cilia were the exclusive type until single-receptor cilia emerged again around P14. Single-receptor cilia then …
Date:
August 2022
Creator:
Shrestha, Jessica
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Inferring a Network of Horizontal Gene Flow among Prokaryotes Using Complementary Approaches
Horizontal gene transfer (HGT), a mechanism that facilitates exchange of genetic material between organisms from different lineages, has a profound impact on prokaryotic evolution. To infer HGT, we first developed a comparative genomics-based tool, APP, which can perform phyletic pattern analysis using completely sequenced genomes to identify genes are unique to a genome or have sporadic distribution in its close relatives. Performance assessment against currently available tools on a manually created 18-genome dataset and 2 benchmarking datasets revealed the superior accuracy of APP over other methods. We then utilized a parametric method to construct a gene exchange network. The composition-based method, Jenson-Shannon Codon Bias (JS-CB), groups genes into clusters based on similar codon usage bias. These clusters were analyzed using APP and examined for the enrichment HGT associated marker genes, then annotated as of native or alien origin based on these multiple lines of evidence. Intergenome clustering enabled identification of genes mobilized across alien components of the genomes (alien-alien transfer) and from native components of donor genomes to the recipient genomes (native-alien transfer). Functional classification of alien gene clusters revealed that metabolism associated genes are most frequently mobilized, in concurrence with previous reports, and additionally, a large number of genes …
Date:
August 2022
Creator:
Sengupta, Soham
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Mixed Reality Tailored to the Visually-Impaired
The goal of the proposed device and software architecture is to apply the functionality of mixed reality (MR) in order to make a virtual environment that is more accessible to the visually-impaired. We propose a glove-based system for MR that will use finger and hand movement tracking along with tactile feedback so that the visually-impaired can interact with and obtain a more detailed sense of virtual objects and potentially even virtual environments. The software architecture makes current MR frameworks more accessible by augmenting the existing software and extensive 3D model libraries with both the interfacing of the glove-based system and the audibly navigable user interface (UI) of a virtual environment we have developed. We implemented a circuit with finger flexion/extension tracking for all 5 fingers of a single hand and variable vibration intensities for the vibromotors on all 5 fingertips of a single hand. The virtual environment can be hosted on a Windows 10 application. The virtual hand and its fingers can be moved with the system's input and the virtual fingertips touching the virtual objects trigger vibration motors (vibromotors) to vibrate while the virtual objects are being touched. A rudimentary implementation of picking up and moving virtual objects inside …
Date:
August 2022
Creator:
Omary, Danah M
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
On the Descriptive Complexity and Ramsey Measure of Sets of Oracles Separating Common Complexity Classes
As soon as Bennett and Gill first demonstrated that, relative to a randomly chosen oracle, P is not equal to NP with probability 1, the random oracle hypothesis began piquing the interest of mathematicians and computer scientists. This was quickly disproven in several ways, most famously in 1992 with the result that IP equals PSPACE, in spite of the classes being shown unequal with probability 1. Here, we propose what could be considered strengthening of the random oracle hypothesis, using a stricter notion of what it means for a set to be 'large'. In particular, we suggest using largeness with respect to the Ramsey forcing notion. In this new context, we demonstrate that the set of oracles separating NP and coNP is 'not small', and obtain similar results for the separation of PSPACE from PH along with the separation of NP from BQP. In a related set of results, we demonstrate that these classes are all of the same descriptive complexity. Finally we demonstrate that this strengthening of the hypothesis turns it into a sufficient condition for unrelativized relationships, at least in the three cases considered here.
Date:
August 2022
Creator:
Creiner, Alex
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
Advanced Stochastic Signal Processing and Computational Methods: Theories and Applications
Compressed sensing has been proposed as a computationally efficient method to estimate the finite-dimensional signals. The idea is to develop an undersampling operator that can sample the large but finite-dimensional sparse signals with a rate much below the required Nyquist rate. In other words, considering the sparsity level of the signal, the compressed sensing samples the signal with a rate proportional to the amount of information hidden in the signal. In this dissertation, first, we employ compressed sensing for physical layer signal processing of directional millimeter-wave communication. Second, we go through the theoretical aspect of compressed sensing by running a comprehensive theoretical analysis of compressed sensing to address two main unsolved problems, (1) continuous-extension compressed sensing in locally convex space and (2) computing the optimum subspace and its dimension using the idea of equivalent topologies using Köthe sequence. In the first part of this thesis, we employ compressed sensing to address various problems in directional millimeter-wave communication. In particular, we are focusing on stochastic characteristics of the underlying channel to characterize, detect, estimate, and track angular parameters of doubly directional millimeter-wave communication. For this purpose, we employ compressed sensing in combination with other stochastic methods such as Correlation Matrix Distance …
Date:
August 2022
Creator:
Robaei, Mohammadreza
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library
The Relationship between Self-Regulated Learning Strategies and Licensing Exam Readiness among Doctor of Chiropractic Students
Graduating competent healthcare providers to meet increasing demands of the United States leads to interest in graduate health science student success. In this study, I explored the relationship between self-regulated learning strategies and licensing exam readiness among Doctor of Chiropractic students. Two research questions asked (1) how self-regulated learning strategies vary by gender and year of study, and (2) how self-regulated learning strategies relate to licensing exam readiness. One hundred thirty-three students from five chiropractic institutions were surveyed with questions from the Motivated Strategies for Learning Questionnaire (MSLQ) and exam readiness items. A series of t-tests, one-way analyses of variance, Kruskal-Wallis H tests, and ordinary least squares (OLS) regression addressed the research questions. Results indicated (1) self-regulated learning strategies do vary by gender and year of study, and (2) self-regulation is related to licensing exam readiness, particularly in Parts I and II of the exam. Chiropractic institutions and policymakers should focus efforts on introducing and reinforcing self-regulated learning strategies throughout the curriculum and explore licensing exam implications. Future research should continue expanding the literature on chiropractic education by considering actual licensing exam performance and determining appropriateness of the MSLQ for chiropractic students.
Date:
August 2022
Creator:
Long, Ashley Nicole
Object Type:
Thesis or Dissertation
System:
The UNT Digital Library