Every citizen has the right to be equipped with scientific literacy to understand and make informed decisions within the discipline of science. Educators can utilize core science teaching practices (CSTPs) to develop scientific literacy. In response, this study identified the CSTPs utilized by preservice elementary teachers (PSETs) to develop scientific literacy during their spring 2022 student teaching semester. Furthermore, this study identified contextual constructs that led to the utilization of the CSTPs to develop scientific literacy. The study used a qualitative exploratory case study using semi-structured interviews as the primary data. Surveys and artifacts were used as supporting secondary data. The identification of CSTPs and their contextual constructs were conducted using inductive content analysis. Afterward, the identified CSTPs and their contextual constructs were deconstructed, interpreted, and synthesized through the critical theoretical framework of disciplinary literacy. Relationships, time, school structure, and community were contextual constructs that enabled and disabled PSETs' utilization of CSTPs to develop scientific literacy. The contextual constructs are represented using the Framework to Develop Scientific Literacy (FDSL). The FDSL contain contextual constructs that enabled PSETs to utilize CSTPs through the sharing of power between the PSET and their cooperating teacher, school district, community, or teacher education programs. In …

Marianna Martines (1744-1812) was a highly celebrated composer, singer, and keyboardist during her lifetime in Vienna, praised by such dignitaries as Dr. Charles Burney, and achieving the honor of being the first woman composer to be admitted to the Accademia Filarmonica di Bologna in 1773. She composed both large-scale and smaller works, including masses, oratorios, keyboard sonatas and concerti, cantatas, and arias. Yet today, despite a revival of interest in this important composer, she remains largely unknown and her nearly 70 surviving works remain all too underperformed. The purpose of this dissertation is to add to the existing scholarship by exploring the first movement of her Harpsichord Sonata in G Major, the last of her three extant sonatas, which is marked Allegro brillante, and is indeed a work of technical brilliance and difficulty, through various theoretical frameworks. This study demonstrates the extraordinary nature of this work by invoking classical formal theory, topic theory, with particular emphasis on the "brilliant" and "singing" styles, and the more recent feminist studies illuminating gender-coding in music. This theoretical analysis is considered against the backdrop of sociological studies examining the gender politics of Vienna and other parts of Europe during this time period. This study …

According to the United Nations, two-thirds of the world's population, approximately 4 billion people, experiences water scarcity at least one month per year. To avoid the water quantity crisis experienced in many regions of the world and the United States, a path to sustainability must be forged. My research aims to identify and critique the salient features of the narrative that drives contemporary urban water decisions and practices and to provide a meta-narrative about the role of narratives as invisible lenses through which individuals see, interpret, and interact with the world often without realizing the existence of those frames. The purpose of this problem-oriented dissertation is twofold: to provide a philosophical policy analysis of contemporary water issues in the United States generally and North Central Texas in particular, and to offer a pragmatic and interdisciplinary approach to discovering a sustainable relationship to water. The intent of my research is not to produce a new metaphysical understanding of water, but to provide a pragmatic application of ideas that can be utilized in the field; ideas that can invoke a new narrative, vision, and direction for urban water issues in North Central Texas and in areas far beyond the Lone Star State. …

Exceptional classroom management (CM) for face-to-face and online classes is vital to instructor success, and importantly, directly impacts students' ability to learn. Classroom conflict may disrupt an instructor's CM and can occur when a student is uncivil (e.g., sidetracks from lecture) or when an instructor misbehaves (e.g., antagonizes students). A small but meaningful line of work suggests that uncivil students and misbehaving teachers negatively impact the learning environment. However, no work has examined how the interaction between an uncivil student and misbehaving teacher impacts learning. As such, the purpose of the current study is to empirically investigate how teacher responses to student incivility impact cognitive learning in an online learning environment. The project evaluated approximately 252 undergraduate students via an online study. Participants watched a video of an online class in which the professor responds to an uncivil student in one of three different ways: antagonistically, positively, or neutrally. Participants then took a cognitive learning quiz based on the lecture and answered questions about their perception of the instructor, uncivil student, and the learning environment. Results of the one-way ANOVA suggest that how an instructor responded to student incivility did not significantly impact cognitive learning. Secondary analyses also indicated that …

In this work, the development of parameters for a series of imidazolium-based ionic liquids molecules, now included in the AMOEBA force field, is discussed. The quality of obtained parameters is tested in a variety of calculations to reproduce structural, thermodynamic, and transport properties. First, it is proposed a novel method to parameterize in a faster, and more efficient way parameters for the AMOEBA force field that can be applied to any imidazolim-based cation. Second, AMOEBA-IL polarizable force field is applied to study the N-tert-butyloxycarbonylation of aniline reaction mechanism in water/[EMIM][BF4] solvent via QM/MM approach and compared with the reaction carried out in gas-phase and implicit solvent media. Third, AMOEBA-IL force field is applied in alchemical calculations. Free energies of solvation for selected solutes solvated in [EMIm][OTf] are calculated via BAR method implemented in TINKER considering the effect of polarization as well as the methodology to perform the sampling of the alchemical process. Finally, QM/MM calculations using AMOEBA to get more insights into the catalytic reaction mechanism of horseradish peroxidase enzyme, particularly the structures involved in the transition from Cp I to Cp II.

There is an increased use of block-based programming environments in K-12 education and computing outreach activities to introduce novices to programming and computational thinking skills. However, despite their appealing design that allows students to focus on concepts rather than syntax, block-based programming by design is inaccessible to people with visual impairments and people who cannot use the mouse. In addition to this inaccessibility, little is known about the instructional experiences of students with visual impairments on current block-based programming environments. This dissertation addresses this gap by (1) investigating the challenges that students with visual impairments face on current block-based programming environments and (2) exploring ways in which we can use the keyboard and the screen reader to create block-based code. Through formal survey and interview studies with teachers of students with visual impairments and students with visual impairments, we identify several challenges faced by students with visual impairments on block-based programming environments. Using the knowledge of these challenges and building on prior work, we explore how to leverage the keyboard and the screen reader to improve the accessibility of block-based programming environments through a prototype of an accessible block-based programming library. In this dissertation, our empirical evaluations demonstrate that people …

The dissertation covers three major topics: metal-assisted aromaticity, synthetic approaches to tailor donor-acceptor supramolecular stacks, and photoluminescence properties of cyclic trinuclear complexes (CTCs) of d10 metals. First, multiple theoretical approaches are adapted to discuss in detail the origin of aromaticity of CTCs, putting forward a metal-assisted aromaticity model. Next are the discoveries of donor-acceptor stacked CTC–CTC' complexes from both experimental and computational perspectives, reporting multiple novel crystallography-determined structures and revealing their pertinent intermolecular ground-state charge transfer. The spontaneous binding behavior is also determined by UV-vis and NMR titrations and rationalized as the cooperation of multiple supramolecular interactions, including metallophilicity, electrostatic attraction, and dispersion. The last part includes systematic investigations of photoluminescence properties of halogen-metal-bonded CTCs and sandwich-like cation–π-bonded heptanuclear clusters based on CTCs. The cooperative effects of metal-centered conformation, the heavy-atom and relativistic effects from both the halogen and metal atoms play complementary roles in the phosphorescence process to promote the inter-system crossing and radiative transitions.

This study explored issues related to the adoption and implementation of electronic health record (EHR) systems including building the awareness, knowledge, and experience of physicians toward cyber hygiene. This study used a qualitative research method to assess (a) the barriers to EHR systems adoption and implementation in Kuwait and (b) the level of awareness, knowledge and experiences related to cyber hygiene practices in Kuwait. The findings of the study supported the conceptual framework used to guide the research of the factors impacting the adoption and implementation of EHR systems in Kuwait as well as explore the level of awareness, knowledge, and experience of physicians about both EHR systems and cyber hygiene. The results from the systematic literature review analysis identified seven major barriers. These are financial barriers, time, difficulty of using technology, lack of support, negative attitude, legal and ethical (policies), and cultural barriers. The findings from the semistructured interviews supported the literature findings and provided more in-depth insights into the structural and social issues affecting the adoption and implementation of EHR systems. Given that Kuwait is a member of the Gulf Cooperation Countries (GCC), the results from the literature analysis showed that the problems in Kuwait are similar to …

Recent epidemiological studies have demonstrated a correlation between the manifestation of non-alcoholic fatty liver disease (NAFLD) and ambient air pollution levels, which is exacerbated by the presence of other risk factors, such as diabetes, dyslipidemia, obesity, and hypertension. We investigated the hypothesis that exposure to a mixture of gasoline and diesel engine emissions (MVE) coupled with the concurrent consumption of a high-fat (HF) diet promotes the development of a NAFLD phenotype within the liver. Three-month-old male C57Bl/6 mice were placed on either a low fat or HF diet and exposed via whole-body inhalation to either filtered (FA) air or MVE (30 µg PM/m3 gasoline engine emissions + 70 µg PM/m3 diesel engine emissions) 6 hr/day for 30 days. Histology revealed mild microvesicular steatosis and hepatocyte hypertrophy in response to MVE exposure alone, compared to FA controls, yielding a classification of "borderline NASH" under the criteria of the modified NAFLD active score (NAS) system. As anticipated, animals on a HF diet exhibited moderate steatosis; however, we also observed inflammatory infiltrates, hepatocyte hypertrophy, and increased lipid accumulation, with the combined effect of HF diet and MVE exposure. Immunofluorescence staining and RT-qPCR of the liver revealed the presence of lipid peroxidation, altered expression …

Identity is a powerful concept that influences behavior and health. For over thirty years, researchers in sport psychology have been using the Athletic Identity Measurement Scale (AIMS) as a research instrument providing insights into the relationships between athletic identity and health variables. While musician identity is recognized as an important factor to be investigated in relation to occupational health, there are no known robust instruments like the AIMS in music psychology research. The current study aimed to adapt and validate the athletic identity measurement scale for use with musicians. The AIMS history includes episodes of modifications for performance enhancement of the instrument that resulted in five different models. The validation process includes evaluating the psychometrical properties across all five models. The sample included student musicians and non-student musicians (N = 1040). The traditional confirmatory factor analysis (CFA) and the maximum likelihood (ML) estimation method were used. The exploratory structural equation modeling (ESEM) and robust weighted least squares (WLS) was utilized to explore a new method of estimation that was known to resolve issues consistent with the CFA and ML method. The goodness-of-fit indices of CFA and ESEM were compared. The results showed that the MIMS is a reliable and valid …

This thesis covers applications of machine learning to the fields of remote sensing and environmental monitoring. First, a generalized background on the concepts, tools, and methods used throughout the remainder of the research project are introduced. Chapter 3 covers the implementation of artificial neural networks to improve low-cost particulate matter sensing networks using collocated high-quality sensors with varying dataset parameters. In Chapter 4, an attention-enhanced LSTM-Convolutional neural network is presented to reconstruct satellite-based aerosol optical depth data lost to atmospheric interference. Chapter 5 applies attention mechanisms and convolutional neural networks to the reconstruction and upsampling of satellite-based land surface temperature maps. Chapter 6 presents a model employing geospatial techniques and machine learning methods with a combination of ground-based and remote sensing data to produce a daily ultra-high resolution 30 meter mapping of the PM2.5 concentration across Denton County, Texas.

Graduate enrollment management (GEM) is an area of enrollment management that focuses on graduate and professional education. GEM's responsibilities can include various functions such as strategic planning, marketing, recruitment and admissions, academic advising, financial aid, student services, retention, and alumni relations. The comprehensive structure of GEM puts a significant amount of pressure on enrollment managers as its unique interdependence model creates an environment where professionals must be cross-trained in several areas, manage through grey areas, cultivate relationships with personnel across the campus, accomplish department goals, support their student population, and all while staying in alignment with the institutional mission. Therefore, the purpose of this study was to explore GEM from an enrollment managers perspective. The theoretical framework that guided this study was interdependence theory, and examined the following research questions: (1) How do graduate enrollment managers explain their roles in their respective departments and at their institution? (2) How do graduate enrollment managers explain the factors influencing their work? (3) What key stakeholders do graduate enrollment managers identify as influencing their roles and their work? (4) How do graduate enrollment managers balance demands from these stakeholders? Seventeen graduate enrollment managers working at a large research university were interviewed in-depth. The …

In this study, we observed the effects of the processing-induced method on two different shape memory alloys (SMAs). First, we compare the transformation behavior of a martensitic NiTi SMA during thermal cycling using wide angle synchrotron radiation X-ray diffraction (WAXS). Based on the thermal cycling results, three observations about processing-induced SGAs as compared to SMAs can be seen: (1) retention of distorted austenite at high and low temperatures, (2) broadening of diffraction peaks in WAXS and disappearance of the thermal peaks in DSC measurements both due to induced strain, and (3) gradual increase in the amount of the martensitic phase. Second, we applied a processing-induced method to a FeMnAlCrNi alloy to examine the possibility of forming a strain glass alloy in an Fe-based system through sufficient dislocation formation via plastic deformation. This alloy was subjected to various percentages of cold work and characterized using scanning electron microscopy, differential scanning calorimetry, Vickers hardness, WAXS data. The results indicate with 50% thickness reduction, stress-free thermal cycling no longer exhibits a measurable phase transformation, suggesting the successful formation of strain glass alloy through sufficient dislocation. The results of this research contribute significantly to the advancement of strain glass alloys (SGAs), especially with respect …

The intersection of race and space in one neighborhood in Denton, Texas, a college town situated within the greater Dallas-Fort Worth metroplex, reflects the lack of economic opportunities caused by a legacy of racial spatialization. SED, formally known as Solomon Hill, was once a predominately Black enclave; however, the city's population growth has fueled the expansion of the downtown area into neighborhood, transforming it into a hotspot for new investment. As the city rebrands itself in the name of urban entrepreneurialism, SED has become part of revitalization plans that include portraying the neighborhood as part of a cultural district, a tech hub, and an arts district. In order to understand the neighborhood today, we need to first examine its history; therefore, I provide a brief history of racial segregation in SED and examine the power structures that reinforced its marginalization. I then explain how the aforesaid transformation of SED as a cultural district, tech hub, and arts district and the expansion of downtown area into SED is a byproduct of the city's urban entrepreneurialism. Lastly, I discuss the function of the MLK Jr. Recreation Center, and their goals for connecting with the community through program evaluation and development centered around …

The recipes of optical radiative properties manipulation are their materials chemistry, nano/microscale geometry, and transport properties of quasiparticle carriers such as photons, phonons, and electrons. The important technical element in optical properties is the dielectric function of materials, which is different for metals, dielectrics, 2D materials, and phase transition materials. Graphene has a unique electrical conductivity profile which have metallic nature depending on the frequency, but also has a negative thermal expansion coefficient that makes graphene unique. Hence, graphene creates wrinkles when deposited on the substrate as temperature decreases to room temperature from high substrate temperature. We also study phase transition material, particularly vanadium dioxide that transitions from insulating to metallic phase based on temperature change; we investigate its role in far-field thermal radiation. Other transition metal oxides are studied as a thermally and electrically tunable plasmonic gratings: Transition metal oxides include vanadium dioxide, tungsten trioxide, and molybdenum trioxide. The work demonstrates plasmonic phenomena and absorptance/emittance tunability. First, surface plasmon polariton along the graphene (SPPG) when wrinkles are formed above the plasmonic grating is studied. The resonance peak shift is modeled for both magnetic polariton (MP) with inductor-capacitor (LC) circuit and SPPG with Fabry-Perot phase change model. Second, the self-adaptive …

Approximately 50% of individuals who undergo total knee arthroplasty (TKA) fail to achieve a full functional recovery. Current physical therapy practices commonly utilize neuromuscular electrical stimulation (NMES) to passively activate quadriceps muscles. This passive approach does not directly reteach the lost response, but can strengthen the atrophied muscle. Study 1 compared surface electromyography with biofeedback (sEMGBF) with a changing criterion design to NMES alone. Study 2 compared static sEMGBF to NMES with feedback. Study 3 compared surface electromyography (sEMG) with instructions only to NMES. All other methods were constant across the three studies, where I compared the passive and active approach within-subject, across knees, and across groups while controlling for condition order and leg dominance. Each participant receives both NMES and the shaping procedure. Each condition lasts five minutes and consists of 30 muscle contractions. Each contraction lasts 5 seconds and was followed by a 5 second rest. I compared pre and post adapted maximal voluntary isometric contraction (A-MVIC) tests to determine the effectiveness of each condition. Results of the three studies demonstrated that actively teaching voluntary vastus medialis oblique (VMO) engagement using sEMG is more effective than NMES at increasing maximum voluntary isometric contractions of the VMO.

Opioid abuse and in particular fentanyl, a synthetic opioid, has been of concern in the last decade. Fentanyl is an illicit drug of concern to due to its prevalence and potency. Research to date has focused on supporting law enforcement by developing methods suitable for chemical profiling and identifying fentanyl from various matrices. However, methods geared towards analysis of fentanyl isomeric analogues are rare. Analysis of isomers is challenging due to similar mass spectral fragmentation patterns and exhibiting co-elution using common gas chromatographic columns. Developing methods to use in forensic labs utilizing already available equipment will advance current capabilities in the detection of fentanyl compounds. Thus, investigation into alternative stationary phases and development of special gas-liquid chromatographic (GLC) based methods for isomeric fentanyl analogues has been done. Several studies were done to investigate the use of ionic liquid chromatographic phases in analyzing fentanyl analogues. The first study focused on investigating the thermal stability of ionic liquids to identify those suitable to withstand the high oven temperatures that was needed to elute fentanyl analogues in gas chromatography. Total synchronous fluorescence spectroscopy and differential scanning calorimetry were demonstrated to be sensitive enough to detect the decomposition products of ionic liquids. In the …

This study aims to apply user reviews and numerical ratings toward items to create an aspect-aware high-order representation for a recommendation system. We propose a novel aspect-aware knowledge graph recommendation model (AKGR) with the deep learning method to predict users' ratings on non-interacted items, from which more personalized recommendations can be made. First, we create a sequence-to-sequence encoder and decoder model by exploiting contextual and syntactic information in user reviews to extract aspects critical to items. Then we utilize the principal component analysis (PCA) and the K-means clustering to analyze the extracted aspects for category classification. Based on the aspects, we construct a graph structure to connect users and items which share the same aspect-based opinions for mining user preferences and item attributes. Finally, we combine the user and item latent features from the reviews and the user-item rating matrix to complete the rating prediction task by applying the factorization machine model. We conducted experiments on three aspect extraction datasets and five rating prediction datasets. To verify the effectiveness of the proposed aspect extraction model and rating prediction model, comparison experiments were made with some state-of-the-art baseline models, such as double embeddings convolutional neural network (DE-CNN) and dual graph convolutional …

The data surrounding barriers to student-athletes seeking mental health care are limited, but show that stigma is one of the most frequently reported barriers. Further, the effect of sharing demographic identities (i.e., race, gender) between a student-athlete and their mental health treatment provider has not been fully explored. The purpose of this study was to determine the frequency of reported barriers and facilitators to mental health as well as the importance of sport psychologist characteristics as a facilitator of mental health treatment. Participants consisted of student athletes from an NCAA Division I university, representing 11 sports. A series of two-way, repeated measures ANOVA analyses were conducted to determine within-subjects differences in overall reporting of barriers and facilitators, as well as between groups differences in race and gender. Significant differences were found in the rating of barriers and facilitators. Female student-athletes rated sharing a gender identity with their mental health treatment provider as more important than did male student-athletes. The findings of the study may aid athletic departments in developing targeted interventions to lower barriers and increase use of mental health resources to promote psychological well-being among student-athletes.

In this study, thiol and two disulfide compounds have been tested as new corrosion inhibitors for brass and aluminum alloys. Pyridine-2-thiol and 2,2'-dipyridyl disulfide were tested for brass alloys in 0.5 M H2SO4 solution and both inhibitors showed excellent corrosion protection against the aggressive corrosive ion attack. Both inhibitors adsorbed to brass surface forming a protective film via a chemisorption process. XPS studies showed formation of Cu-S bond which allows these molecules to chemisorb on to brass surfaces. Pyridine-2-thiol, 2,2'-dipyridyl disulfide and 4'4-diaminodiphenyl disulfide were tested as corrosion inhibitors for AA6061-T6 alloy in 1 M HCl solution and all inhibitors showed excellent corrosion protection over wide range of temperatures. To evaluate the corrosion inhibition efficiencies many different instruments and electrochemical techniques were used. Overall results from this study showed sulfur-based corrosion inhibitors can be used effectively to mitigate the corrosion process of brass and aluminum alloys in acidic solutions.

By analyzing the lived experiences of Black birthing people through a plurality of medical and emotional ethos, I illuminate themes of experience that allow or disallow the subjectivity of the birthing person to thrive or falter. I specifically focus on a spectrum of dynamics of reproductive trauma versus empowerment, resistance versus trust, and feelings of fear versus safety expressed by the birthing person. In the face of birth trauma, the Black birthing community is creating care alternatives that offer support in ways the traditional US medical system is failing. The modes in which communities participate in the birth justice movement and collectively practice modes of resistance that offer safer, more respectful care models are valuable in eliminating racial health disparities in the United States. For this research endeavor I deployed a feminist methodological approach consisting of in-depth, semi-structured, ethnographic interviews, to explore the dynamics of power hierarchies within the realm of labor and delivery. Care paradigms chosen by Black birthing people can be divided into four specific situations which yielded profoundly discernable positive or negative results: (1) Birth experienced as a Black pregnant person delivering in the hospital under the care of a non-black OBGYN and birth team, (2) Birth …

Bipolar disorder (BD) is a serious mental illness characterized by dramatically differing mood states and marked costs for the individual and society, making it important to find factors associated with the condition. Deficits in emotion regulation have been found across a wide range of mental health disorders and may represent an important risk factor for BD. Literature in this area has large methodological inconsistencies and many conclusions are mixed. Therefore, the current study sought to conduct a meta-analytic review of literature related to emotion regulation in BD. Results suggest that people with BD broadly report more frequent use of maladaptive emotion regulation strategies and less frequent use of adaptive emotion regulation strategies than healthy controls. Of these strategies, the largest effect sizes were found for risk-taking, rumination, impulsivity, catastrophizing, and self-blame. Comparisons to other clinical groups suggest that emotion regulation in BD is largely similar to major depressive disorder and less severely impaired than borderline personality disorder. Moderator analyses of BD samples in different mood states suggest mood state plays a limited role in emotion regulation strategy usage, although some maladaptive strategies may be more common in samples with depressive symptoms. Among emotion regulation strategies, increased positive rumination and suppression …

With effective engineering using synthetic biology approaches, plant-based platforms could conceivably be designed to minimize the production costs and wastes of high-value products such as medicines, biofuels, and chemical feedstocks that would otherwise be uneconomical. Additionally, modern agricultural crops could be engineered to be more productive, resilient, or restorative in different or rapidly changing environments and climates. To achieve these complex goals, information-processing genetic devices and circuits containing multiple interacting parts that behave predictably must be developed. A genetic Boolean AND logic gate is a device that computes the presence or absence of two inputs (signals, stimuli) and produces an output (response) only if both inputs are present. Here, we optimized individual genetic components and used synthetic protein heterodimerizing domains to rationally assemble genetic AND logic gates that integrate two hormonal inputs in whole plants. These AND gates produce an output only in the presence of both abscisic acid and auxin, but not when either or neither hormone is present. Furthermore, we demonstrate the AND gate can also integrate two plant stresses, cold temperature and bacterial infection, to produce a specific response. The design principles used here are generalizable, and therefore multiple orthogonal AND gates could be assembled and rationally …

This research aimed to determine the effects of an online training program on the accurate articulation of the concepts and elements needed to conduct a matrix analysis, the accuracy with which participants embedded these elements in a matrix analysis diagram, and the qualitative value of those elements. The development of the online training program was completed through a series of recursive steps. First, four literature searches regarding the matrix analysis, its foundational concepts, and underlying theoretical frameworks; systems analysis; culturo-behavior science; behavior analytic approaches to education; wicked and super wicked problems; and behavioral community psychology were conducted. Second, a tentative list of definitions for each element that collectively forms a matrix analysis was formed used to complete a component-composite analysis for each of the elements, and to determine the component skills individuals would need to develop to complete a matrix analysis and corresponding diagram. The component-composite analysis served as the basis for the general outline of the training program and the structure for the development of the training program presentations, activities, and assessments using Google Classroom. The online training program was piloted with 17 individuals enrolled in a graduate level course on behavioral systems analysis. Following the pilot of the …