The present thesis mainly proposes to explore the potential of aza-macrocycles in metal-organic frameworks (MOFs) for applications related to unprecedented open macrocycle cavities. Strategies such as direct arylation of secondary amines as well as multidentate coordination were applied to constrain the intramolecular flexibility of as-obtained macrocyclic compounds. Several desired materials, i.e. MMCF-4, MMCF-5/MMCF-5t/MMCF-5t-aa, MMCF-5, HMMCF-1, were obtained. They are proved superior to traditional materials in the field of "turn-on" lanthanide luminescence, deep desulfurization of flue gas, recovery of Platinum-group metals, etc. Powder/single-crystal X-ray diffraction (PXRD/SCXRD), synchrotron-based X-ray and extended X-ray absorption fine structure (EXAFS), density functional theory (DFT) theoretical calculations, etc., were employed for deep-understanding the mechanisms. These studies shed light on the construction of hierarchically porous materials with two levels of porosity, i.e., one from the frameworks and the other one from the aza-macrocycles. Incorporation of aza-macrocycles into the MOF architectures not only leads to fundamental significance in bridging the chemistry of MOFs with supramolecular chemistry but also elicits unique properties from the hybrid materials obtained. As a paradigm for constructing frameworks with accessible macrocyclic cavities based on "constrained" aza-macrocycle ligands, this thesis paves the way for the further development of this framework family in the future.

In this work, we have explored 2D semiconducting transition metal dichalcogenides (TMDs), black phosphorus (BP), and graphene for various applications using liquid and mechanical exfoliation routes. The topical areas of interest that motivate our work include considering factors such as device integration, stability, doping, and the effect of gasses to modulate the electronic transport characteristics of the underlying 2D materials. In the first area, we have integrated solution-processed transparent conducting oxides (TCOs), specifically indium-doped tin oxide (ITO) with BP, which is a commonly used TCO for solar cell devices. Here we have found surface treatment of glass substrates with a plasma before spin-coating the solution-processed ITO, to be effective in improving coverage and uniformity of the ITO film by promoting wettability and film adhesion. The maximum transmittance obtained was measured to be ~75% in the visible region, while electrical measurements made on BP/ITO heterostructures showed improved transport characteristics compared to the bare ITO film. Within the integration realm, inkjet-printing of BP and MoS2 p-n hetero-junctions on standard ITO glass substrates in a vertical architecture was also demonstrated. To address the issue of stability which some 2D materials such as BP face, we experimented with ionic liquids (ILs) to passivation the …

This dissertation examines the contributions of the early twentieth-century Chinese composer Huang Zi to the genre of Chinese art songs. It discusses how he combined Western compositional techniques with traditional Chinese music and ancient or contemporary Chinese poetry, focusing on his works 花非花 Flowers in the Mist, 点绛唇, 赋登楼 Ode to Ascending the Tower, 思乡 Missing Homelands, and 春思曲 Spring Nostalgia. Huang's songs, which created a bridge between East and West, are still significant today in China and deserve performance in the West, too. Translations and a phonetic guide to the four songs are provided so that Western singers have the tools they need to perform these songs.

In this research the focus is on data-centric AI with a specific concentration on data quality evaluation and improvement for machine learning. We first present a practical framework for data quality evaluation and improvement, using a legal domain as a case study and build a corpus for legal argument mining. We first created an initial corpus with 4,937 instances that were manually labeled. We define five data quality evaluation dimensions: comprehensiveness, correctness, variety, class imbalance, and duplication, and conducted a quantitative evaluation on these dimensions for the legal dataset and two existing datasets in the medical domain for medical concept normalization. The first group of experiments showed that class imbalance and insufficient training data are the two major data quality issues that negatively impacted the quality of the system that was built on the legal corpus. The second group of experiments showed that the overlap between the test datasets and the training datasets, which we defined as "duplication," is the major data quality issue for the two medical corpora. We explore several widely used machine learning methods for data quality improvement. Compared to pseudo-labeling, co-training, and expectation-maximization (EM), generative adversarial network (GAN) is more effective for automated data augmentation, especially …

Life coaching is a rapidly expanding industry that focuses on client development, enhancement of life experience, and goal attainment often when clients are experiencing personal, professional, and social change. Online communities of practice (CoPs) provide opportunity for individuals to connect, share experiences, and learn from each other under the auspices of a unifying theme or subject. Since the 1990s, CoPs have spread from education to other areas of business and industry and continue to shape participant professional development. However, the everyday life information seeking and practices of life coaches remains unexplored within information science literature from the perspectives of life coach engagement in seeking information, life coach engagement in CoPs, and life coach interactions with other coaches. The purpose of this research study was to explore life coach perspectives of coaching, the diverse information needs of life coaches, the types and strength of relationships between life coaches and CoPs, the role of coaching certification and/or licensing as contributing to the professionalization of life coaching, and the means of communication exchange by life coaches through information communication technologies. This mixed method study focused on life coaches who self-identify as belonging to a CoP and those that do not. Theoretical frameworks for …

Team psychological safety fosters interpersonal risk-taking and constructive debate. Yet, how psychological safety develops in diverse teams needs to be explained. I apply collective regulatory lenses to shed light on how collective prevention focus (status quo) and collective promotion focus (growth) uniquely affect team psychological safety. I believe promotion focus makes it easier to attain psychological safety, while prevention focus makes it harder. Under a collective promotion lens, teams seek growth. Under a collective prevention lens, teams desire protection and not making things any worse. A pilot study of 76 students in 17 student project teams provided initial support for individual relationships in my model. In Study 2, an experiment, I manipulated team regulatory foci in three tasks (building towers, selling a house, negotiating a salary). I did not find significant mean group differences in psychological safety between promotion (n = 17) and prevention (n = 15) teams; yet, promotion teams experienced greater team viability in the final activity. In Study 3, I employed an experimental vignette method that suggested leadership conditions (e.g., leader humility vs transactional leadership) created differences in regulatory foci and subsequent differences in psychological safety with 343 working professionals in 7 scenarios.

To find out how adolescents' individual and environmental factors impact adulthood education and employment outcomes, this longitudinal study examined 10th graders' individual (such as math scores, intrinsic motivation, and school engagement) and environmental (i.e. parental involvement) factors through their education and employment outcomes in emerging adulthood. The current study examined the differentiated effect of parental involvement being autonomy-supportive or control on adolescents' academic achievement in high school and also young adulthood educational and occupational outcomes 10 years later. This research is based on an analysis of data drawn from the Educational Longitudinal Study of 2002 (ELS:2002), which is a nationally representative longitudinal study that follows adolescents at four main timelines: the base year of students in 10th grade (Time 1), the first follow up at 12th grade(Time 2), the second follow up two years after the expected high school of high-school, and the third follow up when students who may have gone on to post-secondary education would complete their postsecondary education (Time 3). 5,439 students and their parent(s) were included in the study. Overall, the final model supported the majority of the hypotheses and revealed how differentiated parental involvements and students' previous academic performance influence their math scores at Time …

Electronic transport properties have been used to classify and characterize materials and describe their functionality. Recent surge in computational power has enabled computational modelling and accelerated theoretical studies to complement and accelerate experimental discovery of novel materials. This work looks at methods for theoretical calculations of electronic transport properties and addresses the limitations of a common approximation in the calculation of these properties, namely, the constant relaxation time approximation (CRTA). This work takes a look at the limitations of this approximation and introduces energy and temperature dependent relaxation times. This study is carried out on models and real systems and compared with experiments.

I designed an explanatory sequential mixed-method study to explore the relationship between leadership practices, collective teacher efficacy (CTE), and educational outcomes of low SES students in an open school system. Four data sources were analyzed: K-5 student Developmental Reading Assessment (DRA) results of 1,170 students, Collective Teacher Belief Scale (CTBS) survey to measure CTE perceptions of 48 teachers, focus group interviews composed of a stratified sample of 11 K-5 teachers, and two one-on-one principal interviews. The study took place in two elementary schools in north Texas during the 2020-2021 school year. A Spearman's rank-order correlation analysis indicated that the relationship between CTBS scores and student reading scores was mixed. While one school showed a positive association between CTE and the reading data of low SES students, the other school showed a weak correlation between the variables. The quantitative data indicated that CTBS scores did not independently explain reading achievements at both campuses. The data also showed that while teachers had a large effect size on the reading performance of low SES students, as measured through a Cohen's d for paired sample t-test, achievement gaps continued to widen. Two themes emerged through a grounded theory approach when principals described their sensemaking …

Autoimmunity is a modern age medical dilemma which is inextricably linked with emotional stress. Based on semi-structured interviews and participant Adverse Childhood Experiences (ACE) survey results, this study confirms that the autoimmune process may be initiated via psychosocial factors like emotional stress and childhood trauma. Ninety-three percent of participants experienced adversity or trauma in childhood, and 50% of participants talked about a period of prolonged stress that preceded the onset of their condition. This study also confirms the intimate and satisfactory relationship developed between patients and complementary and alternative (CAM) practitioners, who invite patients to be co-producers of health and holistically address patients' minds, bodies, and souls. Finally, this study demonstrates the incredible resiliency of people diagnosed with autoimmune conditions and how they find healing and meaning post-diagnosis.

The purpose of this study was to thoroughly review previous work and to create a new experimental paradigm combining recognition memory with value-based incentives and metacognitive confidence judgments, which may provide convergent evidence for the motivation-cognition interface. This paradigm involves a game-like task administering global and local motivational incentives. Furthermore, trial-level metacognitive confidence ratings were gathered to understand the relationship of metacognitive accuracy and value as a function of strategic control of attention and memory and incentive-based motivation. Paired samples t-tests and a repeated measures ANOVA were used to identify differences in recognition performance based on reward incentive, and Goodman-Kruskall gamma correlations between performance confidence estimates were used to measure metacognitive accuracy. The results showed the mean number of recognition hits (correctly remembering previously seen items) were indeed greater for high-value items compared to low-value items. I also report an unanticipated effect of block, such that the hit rate increased for low valued items from Block 1 to Block 2. Unfortunately, I did not find meaningful results for the metacognitive judgments. This study lays important groundwork for subsequent research incorporating physiological testing to provide a much-needed link between mind and brain with respect to motivation and cognition. Moreover, this study …

Dehydroabietinal (DA), an abietane diterpenoid, was previously demonstrated to be a potent activator of systemic acquired resistance (SAR). DA also promotes flowering time in Arabidopsis thaliana by repressing expression of the flowering repressor FLOWERING LOCUS C (FLC) while simultaneously upregulating expression of FLOWERING LOCUS D (FLD), FLOWERING LOCUS VE (FVE) and RELATIVE OF EARLY FLOWERING 6 (REF6), a set of flowering time promoters. To further understand the mechanism underlying signaling by abietane diterpenoids, Arabidopsis mutants exhibiting reduced responsiveness to abietane diterpenoids were identified. One such mutant plant, ems2/7, exhibited SAR-deficiency and delayed flowering, which were found to be associated with two independent, but linked loci. The gene responsible for the SAR defect in ems2/7 was identified as DEFECTIVE IN SYSTEMIC DEFENSE INDUCED BY ABIETANE DITERPENOID 1 (DSA1). Similar to the missense mutant dsa1-1 identified in the mutant screen, the T-DNA insertion bearing null allele dsa1-2 exhibited SAR deficiency that could be complemented by a genomic copy of DSA1. The gene responsible for the delayed flowering phenotype of ems2/7 remains to be identified. DSA1 encodes a protein that is homologous to human protein O-fucosyltransferase 2. DSA1 is required for long-distance transport of the SAR signal. It is hypothesized that DSA1 is …

Metastatic cancer is more dangerous and difficult to treat than pre-metastatic cancer. Ninety percent of cancer-related deaths are caused by metastatic cancer. When cells go through metastases, they go through changes that allow them to break away from the primary tumor and invade secondary tissues. These changes, in lipid membrane composition and cellular glycocalyx, make the cell more resistant to therapeutics. Actin cytoskeleton contractility plays a major role in these changes, as increased contractility has been linked to upregulation of phosphoinositides and production of glycoproteins. Light induced molecular adsorption of proteins (LIMAP) was used to control the actin arrangement and cell shape in order to mimic and study metastatic cells. Negatively charged proteins electrostatically adhere to the surface in order to create patterns for the cells to stick. Neutravidin was conjugated to poly(glutamic acid) to improve attachment to the surface. We observed differences in cell shape and phosphoinositide behavior based on LIMAP patterning. Additionally, expression of key glycoproteins related to cancer metastasis increased with increased actin contractility. The actin cytoskeleton was the main driver of changes to the cell membrane and glycocalyx.

Current events and social movements aimed at bringing awareness to oppressed groups have reminded us that the United States has still not achieved justice and equality for all. Social and political tensions have become inescapable in our increasingly connected world. Therefore, students need to learn about diverse ways of knowing and being in a pluralistic society. Since publishing and education companies compete for business, the amount of digital and print resources available to teachers can be overwhelming. Because a vital component of a multicultural education includes diverse materials that authentically portray views and experiences from a wide range of cultures, traditions, and values, it is necessary to critically analyze the curricular content that teachers are expected to use in their classrooms. The purpose of this study is to analyze the literature that is included in district-approved book lists for public schools to determine how these texts support the principles of multiculturalism and multicultural education in sixth-grade classrooms. The tenets of critical multicultural analysis (CMA) guided this critical content analysis. Because teachers in these districts are limited to choosing books from approved lists to read with their students, the texts for this study were selected from approved literature lists that were …

Electrocardiogram (ECG) is a biological signal that represents the heart's electrical activity. Interference from power lines introduces a frequency component of 50 to 60 Hz into the signal, which is the principal cause of ECG corruption. By using the Cadence Virtuoso Spectre circuit simulator and typical TSMC RF 180 nm CMOS technology, a notch filter was created to reduce powerline interference. The advantage of utilizing a notch filter for PLI is that noise at 60 Hz is completely eliminated without sacrificing any important information. Additionally, this study contains a MATLAB-based model for, which is used to compute the power spectral density for the obtained time-domain signal. By incorporating power spectral density into data gathering procedures, it is feasible to enhance data collection methodologies, construct models that appropriately account for observed power and aid in the removal of undesired components. NI LabVIEW is used to extract features. The advantage of ECG feature extraction is that it provides information that assists in the identification of cardiac rhythm issues, and gives information about the occurrence of heart attack. In this study, several patient data sets are utilized to extract characteristics and provide information regarding heart condition abnormalities.

This study describes a set of salient formal norms for the eighteenth-century Spanish keyboard sonata through an application of Hepokoski and Darcy's sonata theory, William Caplin's form-functional theory, and Robert Gjerdingen's schema theory. It finds that particular thematic types, intra-thematic functions, and rhetorical markers characterize this repertoire. In order to trace the development of these norms throughout the eighteenth century, this work is organized into two parts. The first part (Chapters 2 and 3) examines the mid-century Spanish keyboard sonatas of Sebastián de Albero (1722–1756), Joaquín Ojinaga (1719–1789), and their contemporaries. The second part (Chapters 4 and 5) examines the late-century Spanish keyboard sonatas of Manuel Blasco de Nebra (1750–1783) and his contemporaries.

The expansionist agenda of the Polk administration culminated in the War with Mexico. The capture of Mexico City in September 1847 left the United States Army with the unprecedented task of occupying an enemy capital for an extended period. After the initial theaters of operation proved unable to secure a peace, Maj. Gen. Winfield Scott commenced a campaign to take central Mexico including the capital city. In March 1847, an army of 11,000 soldiers under Scott landed at Vera Cruz. In six months, Scott's army marched over 250 miles and won five major battles. In mid-September, Scott took Mexico City. Throughout the campaign, Scott attempted to implement a pacification plan in an effort to prompt Mexico to open peace negotiations. Concern for his army weighed heavily on him as he faced unprecedented challenges in occupying Mexico City after its capture. The United States simply had almost no experience in the ramifications of fighting a foreign war, other than a few brief small-scale incursions onto foreign soil at Tripoli in 1805 and in British Canada. The difficulties that arose for Scott from the situation in Mexico were frustrating. Scott pacification plan used conciliation, coercion, and force on Mexico's army and people …

The main objective of this thesis is to propose a localization method for a UAV using various computer vision and machine learning techniques. It plays a major role in planning the strategy for the flight, and acts as a navigational contingency method, in event of a GPS failure. The implementation of the algorithms employs high processing capabilities of the graphics processing unit, making it more efficient. The method involves the working of various neural networks, working in synergy to perform the localization. This thesis is a part of a collaborative project between The University of North Texas, Denton, USA, and the University of Windsor, Ontario, Canada. The localization has been divided into three phases namely object detection, recognition, and location estimation. Object detection and position estimation were discussed in this thesis while giving a brief understanding of the recognition. Further, future strategies to aid the UAV to complete the mission, in case of an eventuality, like the introduction of an EDGE server and wireless charging methods, was also given a brief introduction.

Currently, there is no equipment to measure the real-time fit of EHMR or N-95masks which are used in harsh environments. Improper fit of these EHMRs or N-95 masks exposes the personnel to hazardous environments. Surface acoustic wave (SAW) sensors have been around for few decades and are being used in various applications. In this work, real-time PM2.5 detection using passive wireless SAW sensors is presented. The design of meander antenna at 433MHz for wireless interrogation of SAW sensor using HFSS and ADS is also presented in this thesis. This works also includes the design of YZ-lithium niobate SAW sensor including COMSOL simulation.

This thesis consists of two projects in the field of machine learning. Previous research in the OSCAR UNT lab based on KMeans color quantization is further developed and applied to individual color channels and segmented input images to explore compression rates while still maintaining high output image quality. The second project implements a small-scale dual path network for image classifiaction utilizing the CIFAR-10 dataset containing 60,000 32x32 pixel images ranging across ten categories.

The purpose of this research is to measure the social shifts that take place in a home where artificial intelligent (AI) devices like Echo Dot and Google Home are fully integrated into their everyday life. Research is currently limited, being that the widespread use of these devices is roughly seven years old. Three main outcomes of this study were related to how often Alexa is being used in homes to solve everyday problems, the lack of overall privacy and security concerns users had, and the level of integration into the home as a member of the family. Some limitations and challenges are my ability to compare the households before and after installing these devices in the home; pinpointing when and where the device is used (i.e., room placement); collecting data on whether the device is used often or sparingly; and the depth of interactions these families actually have with the device on a whole. The broader implications behind the increased integration of AI devices is centered around health, labor, social inequality and ethics.

This qualitative study utilized the protective action decision model to explore the risk perceptions and hazard adjustments to the earthquake risk of residents in El Reno, Oklahoma.

This dissertation demonstrates that it is possible to create a donor-acceptor system that can transform sunlight into electrons. By using site-directed synthesis, it was possible to create a novel trans-A2B2 porphyrin. In the pursuit of creating a supramolecular system, both the novel (TPA-BT)2ZnP and C60imidazole combined in solution such that the nitrogenous lone pair of C60 imidazole would coordinate axially to the zinc atom in the porphyrin. The conjugates' characterization utilized spectral, electrochemical, and computational techniques. Computational studies revealed in the optimized structure that the HOMO localized on the porphyrin and LUMO centered over the C60imidazole entity. Rehm-Weller calculations showed feasibility of singlet-electron transfer. Femtosecond transient absorption studies documented an efficient photoinduced charge separation in the conjugate. The subsequent work through steady-state and time-resolved transient absorption techniques that photoinduced electron transfer takes place between the synthesized phenylimidazole functionalized bisstyrylBODIPY (BDP(Im)2) and three selected zinc tetrapyrroles. This dyad consisted of BDP(Im)2 and either zinc tetratolylporphyrin (ZnP), zinc-tetra-t-butyl phthalocyanine (ZnPc), or zinc tetra-t-butyl naphthalocyanine (ZnNc) in a solution solvated by σ-dichlorobenzene (DCB). The three dyads (BDP(Im)2:ZnP, BDP(Im)2:ZnPc, and BDP(Im)2:ZnNc) were investigated by spectroscopic, computational, and electrochemical methods. The 1:1 complex of the dyads in optical absorption studies were approximately ~104 M-1 suggesting …

This dissertation is particularly focused on a novel approach of a wirelessly powered neuromodulation system for chronic patients. The inductively coupled transmitter (TX) and receiver (RX) coils are designed through optimization to achieve maximum efficiency. A power management unit (PMU) consisting of a voltage rectifier, voltage regulator along with a stimulation circuitry is also designed to provide pulse stimulation to genetically modified neurons. For continuous health monitoring purposes, the response from the brain due to stimulation needs to be recorded and transmitted wirelessly outside the brain for analysis. A low-power high-data duty-cycled impulse-radio ultra-wideband (IR-UWB) transmitter is designed and implemented using the standard CMOS process. Another focus of this dissertation is the design of a reverse electrowetting-on-dielectric (REWOD) based energy harvesting circuit for wearable sensor applications which is capable of generating a very low-frequency signal from motion activity such a walking, running, jogging, etc. A commercial off-the-shelf (COTS) based and on-chip based energy harvesting circuit is designed for very low-frequency signals. The experimental results show promising progress towards the advancement in the wirelessly powered neuromodulation system and building the self-powered wearable sensor.