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The Three Leading Female Roles in Der Rosenkavalier by Richard Strauss
This paper discusses De Rosenkavalier, an opera written by Richard Strauss through collaboration with Hugo von Hofmannsthal, and its three leading female roles. Martha Hartman Whitmore divulges the historical background behind the work and compares the three soprano roles.
Les Hotteterre et les Chédeville: Three Biographical Sketches in Translation
This paper traces the genealogy of the Hotteterre and the Chédeville families through a translation of three works by Jules Carlez, Ernest Thoinan, Nicolas Mauger. Carol Padgham Albrecht annotates these translations with biographical information and highlights the contributions of the instrument makers.
Compositional Techniques Using the Clarinet in the Swing Period in Big Band Jazz
This paper discusses the compositional techniques developed for the clarinet during the Swing period of big band jazz. Victor E. Wertz traces the history of big band jazz and highlights some major clarinetists and their performance techniques.
A Comparison of Technical Solutions With Possible Alternatives in the Performance of Chopin’s Etudes, Op. 10
This paper explores the development of the practice of etudes and provides technical solutions for Frédéric Chopin's Etudes, Op. 10. David McKamie explores each etude in turn and considers various methods to perform them.
Six Mélodies Populaires Grecques, by Maurice Ravel
This paper provides an analysis of Maurice Ravel's song cycle Cinq mélodies populaires grecques and "Tripatos." Pamela D. Hamblin discusses Ravel's musical style of composition and investigates the background and the individuality of the songs.
Comparison of Bach’s Chaconne in D Minor for Solo Violin and Its Piano Transcription by Ferrucio Busoni (1866-1924)
This paper provides an analysis of Johann Sebastian Bach's Chaconne in D minor for Solo Violin and its piano transcription by Ferrucio Busoni. Hsiao-Hung Ku highlights the value of transcribing music and compares the original work to its transcription.
The Vocal Music of the Comédies-Ballets of Lully-Molière
Thesis explores the vocal music of the Comédies-Ballets written by Jean Baptiste Lully and Jean Baptiste Molière. Susan Kaye Schafer provides historical context to the collaboration between Lully and Molière and investigates the content of their work.
French Mélodie: The Solo Songs of Henri Duparc
This paper explores the French mélodies written by Henri Duparc and includes a historical background of both Duparc and the mélodie as a type of song. Carol Tagg explores the roots of the mélodie and how influences of the Romantic movement are reflected in Duparc's work.
An Analysis of Stage Band Rhythmic Patterns
An analysis of stage band rhythmic pattern provide a basis of interpretation which will aid directors of stage bands in understanding this musical idiom.
Stage Band Intonation Studies
This study focusses on stage band intonation. The purpose of the unison study, for example, is to develop in the student a sensitivity for pitch placement and also make him conscious of the sounds around him.
The Use of the Brass Section in Prokofiev’s Alexander Nevsky
Thesis examines the life of prolific composer Sergei Prokofiev and his work for the motion picture Alexander Nevsky. Gary Langford analyzes Prokofiev's use of the brass section in his compositions for the film.
The Clarinet: Its Development and Influence in the Field of Jazz
This paper identifies the major clarinetists who contributed to the development of jazz and the history of the jazz movement. Gary F. Hallquist traces the history of the clarinet in jazz from the beginnings in New Orleans to the late twentieth century, touching on the major events in the scene during this era.
Karg-Elert’s Own Clues to the Thirty Caprices for Flute, Opus 107
This paper discusses and analyzes the music and methodology of Sigfrid Karg-Elert's Thirty Caprices for Flute, Opus 107. Jon Novi examines how Karg-Elert provides clues and instruction in The Logical Development, a paper appended to the Thirty Caprices.
Eclectic Style, the Essence of Originality in the Music of Francis Poulenc Discussed Through the Concerto for Piano and Orchestra, 1949
This paper analyzes Francis Poulenc's Concerto for Piano and Orchestra written in 1949. Deborah Lee Erftenbeck explores his eclectic style and the manner of its development, determining the originality of its nature and his works.
Influence of Externally Applied Magnetic Field on the Mechanical Behavior of Paramagnetic Materials
Current ways to alter the microstructure of materials are usually through heat treatments, alloying, and other physical metallurgical methods. Recent efforts in the 21st century are focused on altering the microstructure of a material without physical contact which can be achieved through exposure to a magnetic field (MF). The motivation of this research is to study the quantum effects by subjecting solid-state metals to exposure of MFs. Many of the popular metals currently used in industry are paramagnetic. The ability to alter the microstructure and thus properties of these paramagnetic materials through a magnetic field would open new avenues to the field of research, including, potentially, a pollution-free, non-contact route. The effects of a magnetic field on the mechanical properties of paramagnetic materials were observed through compression testing of the pure paramagnetic material samples induced in a magnetic field. XRD and PPMS were used to relate flow stress to dislocation density and magnetic property of the samples when exposed to the presence of a static magnetic field. The effects of a magnetic field relative to alloyed paramagnetic materials were observed through the same procedure as pure paramagnetic elements. For this purpose, -Ti alloys were chosen as literature suggests a phase transition from  phase to  phase when tested in the presence of a magnetic field. The results indicate that the MF affected the dislocation density and yield stress of the different systems.
Narrative Solutions to Climate Change
Climate change is one of the preeminent problems facing humanity today. It has the potential to cause incalculable damages, loss of life and property, and can create an almost unlivable habitat for humans on this planet. Governments need to act in order to stop future climate harms, but the electorate must be literate in the subject in order to do so. One of the jobs of the media is to inform the public, and so it is imperative that the media find a way to accurately inform the U.S. electorate about the changing climate in order to stimulate pro-environmental behavior and voting. It was hypothesized in this thesis that journalists should utilize narrative instead of simply relaying statistics and fact-based information to better engage the electorate and that it would prove a better way to educate them about science topics such as the climate. However, the politicization of such topics could not be ignored and so needed to be accounted for. A 2x2 factorial analysis was done using narrative versus fact-based stories with either conservative or liberal news outlet headers. These were then tested against three covariates: political ideology, narrative transportation, and locus of control. This research found that political ideology was far and away the best predictor of a person's stance on climate change cognitively, affectively, and cognitively, and it was not moderated by locus of control, frame, or source. While narrative showed significance when it came to emotional engagement, it did not show significance on other level.
Developing Informatics Tools and Methods Utilizing Whole Genome Sequencing and Transcription Data to Aid Gene Discovery in Medicago truncatula
Research into the mechanism of symbiotic nitrogen fixation between legumes and rhizobia involves a complex interaction between the organisms, and many genes involved in this remain either uncharacterized or undiscovered. Using forward genetics, mutant plant lines are screened to find new genes without reliance on software-based gene prediction. A large population of Tnt1-mutagenized Medicago truncatula lines is used for this purpose. Herein, the aid of tools like whole genome sequencing (WGS) in this process is explored so that new methods and tools are elucidated. The use of WGS data allows for rapid prediction of all insertions in the genome and has been shown to predict insertion locations that were missed by the TAIL-PCR-based Tnt1 mutant database already in existence. This WGS strategy has been successfully used to find the causal mutations in multiple plant lines. Two WGS strategies are used to analyze insertions in nine sequenced lines and compared with each other and the existing Tnt1 mutant database. It appears that using either WGS method will yield similar results, but the TAIL-PCR-based predictions have much less overlap. The use of the latest R108 genome appears to decrease the degree of disagreement between the methods, while the correlation in the A17 genome update is less clear. There is also a demonstration of the use of other tools in addition to the WGS prediction output. Combining transcription data from previous experiments with the predicted insertions allowed for the creation of more holistic tables, which could better assist in screening the predictions made for the most likely candidate by highlighting those with expression profiles consistent with the observed mutation phenotype. Each of these tools and methods has been shown to be effective in screening Tnt1-mutagenized M. truncatula lines to find novel genes. Without further experimental data, determining the most accurate method is not …
Curation Subscription Box Services: Implications for the Pet Industry
This study aims to understand customers' preferred attributes and features of curated subscription box services (CSBS) for pet products and to segment customer groups by favored attributes and features to optimize the CSBS. First, a pretest with 46 students at a southwestern public university in the U.S. was implemented to explore customers' preferences on attributes and features in the subscription service. Choice-based conjoint (CBC) analysis was employed in the challenging tradeoff situations after MaxDiff (best-worst scaling) evaluation. Next, the main study was conducted using the survey method with 350 American pet owners recruited by the commercial data platform called Prolific. The preference of five CSBS attributes (i.e., product, personalization, e-service quality, communication and interaction, and price) and 18 related features were examined. Cluster analysis for the 350 respondents identified customer segment groups based on their CSBS preferences derived from the conjoint analysis. The results of this study support that customers prioritized price, product, and personalization attributes in their CSBS choice. The three groups are product-oriented, personalization-oriented, and price-favored segments. This study provides practical implications for understanding customers' preferences and traits and how to tailor subscription box services for the pet business and even for eCommerce subscription retailers in other product sectors.
Designing, Implementing, and Evaluating an Online Instructional Program to Teach Students to Evaluate Systemic Social Issues Using a Matrix Analysis
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 online training program, a coding system was developed to assess the accuracy of responses to questions on the underlying concepts and the collective elements included in the matrix analysis on pre-training and post-module assessments, the accuracy and quality of the matrix analysis diagram elements in three matrix diagrams (pre-training, post-training, and generalization). The results for the pre-training and post-module assessments showed that participants provided more correct answers on the post-module assessments than on the pre-training assessment. The results for the accuracy measurement for the three matrix diagrams show stability in the key actors and sectors and behaviors and practices, but …
Mending Broken Hearts: Contributions of Attachment Style, Decentering, and Meaning Making for Breakup Adjustment during Emerging Adulthood
Breakups within emerging adulthood (EA) are associated with heightened distress because of individuals' tendency to be preoccupied by and prioritize romantic relationships. Global narrative scoring systems, such as Boals et al.'s meaning making (MM) and Feffer et al.'s interpersonal decentering, can be a useful for analyzing the activated cognitive processing in narratives about stressful events and have been linked to positive adjustment from those events. Attachment may moderate the benefits of processing a breakup. While avoidantly-attached people report lower breakup distress because of their tendency to suppress attachment-related thoughts and emotions, anxiously-attached individuals report prolonged distress due to their tendency to ruminate about the past relationship and to experience continued attachment to their ex-partner. The current study assessed the cross-sectional effects of MM and decentering on depression and breakup non-acceptance, as well as how attachment moderates the relationship between decentering and breakup adjustment. Results found higher MM was associated with higher depression and non-acceptance. More mature decentering was related to lower non-acceptance, but was unrelated to depression. Initial MM efforts may evoke more distress as individuals focus on distressing thoughts or emotions previously avoided. Initial decentering maturity may help with breakup adjustment as one effectively reflects on their own and their ex-partner's thoughts, feelings, and behavior. Attachment style did not moderate the relationship between decentering, depression, and non-acceptance. The present study contributes to the literature on processing relational stressors during EA.
TikTok Made Me Buy It! Consumer Motivations and Purchasing Behavior during COVID-19
Using Mehrabian and Russell's stimulus (S) - organism (O) - response (R) model, this study examined consumer motivations to consume user-generated content (UGC) and sponsored video content on social media during the COVID-19 pandemic. The study also investigated the impact of information consumption on purchasing behavior as the main constructs. The study used the consumption patterns of active and passive social media users to further understand the level of short-form video consumption related to purchasing behavior. Grounded upon the SOR theory, this study measured utilitarian and hedonic motivations as stimuli with user-generated content and sponsored content as organism and purchasing behavior as response. A quantitative snowball survey (n = 289) was used to collect data from TikTok users to examine the relationships between motivations, types of content, and purchasing behavior. Statistical analyses including descriptive statistics, reliability tests, factor analysis, and multiple regression analyses was used to profile the sample and to test hypothesized relationships. All hypotheses were supported and found to have significant relationships between the independent and dependent variables. This study is useful to those in the fields of information sharing, crisis management, consumer behavior, and retail to develop communication strategies and understand and adapt to consumption habits and changing purchasing behaviors.
Distributed Source Coding with LDPC Codes: Algorithms and Applications
The syndrome source coding for lossless data compression with side information based on fixed-length linear block codes is the main emphasis of this work. We demonstrate that the source entropy rate can be achieved for syndrome source coding with side information when the sources are correlated. Next, we examine employing LDPC codes to apply the channel and syndrome concepts in order to satisfy the Slepian Wolf limit. Our findings indicate that irregular codes perform significantly better when the compression ratio is larger. Additionally, we looked at how well different applications performed when running on two different mobile networks. We have tested those applications which are used in our day-to-day life. Our main focus is to make wireless communication much easier. We know that nowadays data is increasing which led to increase in the transfer of data. There are a lot of errors while doing so like channel error, bit error rate, jitter, etc. To overcome such kind of problems compression and decompression should be done effectively without any complexity to achieve a high performance ratio.
The Effects of Skilled Dialogue Training on Behavior Analysts' Verbal Behavior Related to the Provision of Compassionate, Collaborative, and Culturally Responsive Care
Despite the growing recognition of the importance of compassionate, collaborative, and culturally responsive care in behavior analysis, the training programs to develop relevant skills are meager. The purpose of the current study is to evaluate the effectiveness of Skilled Dialogue training for behavior analysts in improving the use of six strategies–welcoming, allowing, sense-making, appreciating, joining, harmonizing–when engaging in conversations with clients, colleagues and other professionals. While one participant's verbal responses in all six strategies during the role plays improved after the training, the other participant showed mixed results. High variability in both participants' data suggests that the effectiveness of the training can be better evaluated with tighter control of the components of the training and the measurement system. The potential ways to improve the experimental control in future studies are discussed.
Just Reproduction: Explorations of Struggle, Resistance, and Empowerment Imbued in Labor and Birth in Black Bodies
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 experienced by a Black pregnant person delivering in the hospital under the care of a Black OBGYN and birth team, (3) Birth experienced as a Black pregnant person delivering in the hospital under the care of a Black midwife, and (4) Birth experienced as a Black pregnant person in the hospital utilizing the services of a birth doula (regardless of birth team). The methods employed by those Black women who reported their birth experiences as "positive," reflect the importance of specific care models that align with and support the pregnant and birthing person as a whole person. Intra-racial care provided …
Developing a Generalizable Two-Input Genetic AND Logic Gate in Arabidopsis thaliana for Multi-Signal Processing
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 layered to process complex genetic information in plants. In addition to bioproduction, these layered logic gates may also be used in circuits to probe fundamental questions in plant biology such as hormonal crosstalk.
Data Mining Using Direct Injection Triple Quadrupole Mass Spectrometry, Infrared Spectroscopy, Inductively Coupled Plasma Optical Emission Spectroscopy, and Polymerase Chain Reaction for the Rapid Identification of Nutraceuticals and Contaminants
There has been a rapid surge toward "organic" products devoid of GMOs, MSGs, and other common compounds found in processed foods that continue to indicate an association with an increased risk for disease. These consumers seek nutrients and vitamins that are lacking in their diet and lifestyle in the form of nutraceuticals for disease prevention and treatment as well as overall lifestyle enhancement. However, these products generally lack clinical evidence as well as legal definition. Due to this ambiguity, nutraceuticals are neither considered a food product nor a pharmaceutical product. Furthermore, due to their alleged natural properties allowing for safe, therapeutic effects, nutraceuticals are being eagerly sought after by consumers in the place of pharmaceuticals. Additionally, since nutraceutical substances are "naturally" derived, there is a general lack of regulation regarding the manufacturing and distribution process. This mismanagement leads to lack of quality assurance (QA) and quality control (QC) protocols strictly implemented to define appropriate production and storage parameters. Without these critical measures, consumers are subjected to contamination of their products resulting from improper storage conditions and unmanaged production. These contaminants often include heavy metal impurities, pesticides, bacterial activity, and may also be adulterated with illicit drugs, all leading to detrimental health and environmental effects.
An Investigation into the Micromechanical and Corrosion Properties of Additively Manufactured Stainless Steel 316L
In this thesis, micro-mechanical properties and corrosion resistance of laser powder bed fusion (L-PBF) processed additive manufactured (AM) 316L stainless steel parts were investigated for different combinations of processing parameters. Various laser powers were employed for the fabrication of all AM 316L stainless steel parts. Nanoindentation, areal roughness, and electron backscattered diffraction (EBSD) characterization were used to characterize the surface of the AM samples prior to corrosion testing. Open circuit potential (OCP), linear polarization resistance (LPR), electrochemical impedance spectroscopy (EIS), and potentiodynamic polarization tests were done to compare AM L-PBF 316L stainless steels with different processing parameters. Overall, it was observed that the AM part having a 56.67 J/mm3 volumetric energy density (VED) exhibits the best micro-mechanical characteristics. This sample also had the lowest areal surface roughness and smallest grain size. Consequently, this parameter combination had better corrosion resistance compared to the other AM processed 316L parts. The results are useful in process calibration when fabricating for corrosion resistance applications and provide insights into the relationship among nano-mechanical, crystallography, and long-term corrosion performance.
"The Opposite of Addiction is Connection": Next-of-Kin Narratives in Overdose Fatality Reviews
This study used ethnographic and qualitative research methods to provide data-driven support for the use of next-of-kin interviews to enhance overdose fatality review (OFR) datasets. This study's community of practice is a group of substance-use professionals that use OFRs to share confidential data and monitor Lucas County, Ohio substance use trends. To analyze OFR data collection, un-silo information, and understand how to include next-of-kin (NOK) interviews in the dataset, this study used rapid analysis, semi-structured interviews, and virtual participant observation methods. Rapid analysis showed current methods sufficiently collected demographic, vital statistics, and postmortem data from coroner reports; however, NOK interviews supplied narrative-derived information often missing or inconsistent in the dataset. Interviews with the community of practice and decedents' NOK showed dissonance between the two's perceptions of overdoses in Lucas County. Participants discussed themes, e.g., stigma, burnout, strained resources, and increasing fentanyl contamination-related overdoses. NOK needed accessible web-based resource options, linkages to current programs or services, stigma-free harm reduction education, and opportunities to form connections. Professionals explained the impact of widespread mental health problems, extreme social isolation, and economic pressures on overdose prevention during COVID-19. Potentially contaminated illicit substance use increased during the pandemic, overburdening the community of practice and straining already limited overdose prevention resources. Accessible, up-to-date information and web-based community engagement will encourage professionals to form connections with community members, increase fair access to information currently siloed, and provide a consolidated location to find resources and opportunities for connections within the community.
Leaving the Community: A Qualitative Study of Hijra Individuals in Bangladesh
The hijra community individuals are one of the most neglected and underprivileged sexual minority groups in Bangladesh. Historically this community has been excluded from mainstream society and was compelled to live and work in separate communal spaces. However, new policies of inclusion implemented by government and non-government organizations have resulted in many hijra individuals leaving their communities. In this research, I focused on how the hijra individuals of Bangladesh come out of their hijra communities to find work and accommodation in mainstream society. Based on 11 in-depth ethnographic field interviews and qualitative data analysis, I found that after leaving the community, the hijra individuals living in Dhaka enter a gendered borderland where they occupy a unique outsider-within position. They undertake different survival strategies to survive amongst harsh socio-economic conditions intersected by multiple modes of discrimination such as maintaining a new guru (leader) for social protection, developing support networks, and redefining their gender identity as ‘transgender,' provide the tools to survive life outside their community. Through these findings, I reflect on the ways poor sexual minority groups such as the hijra survive and use their limited resources to find access to housing and informal work. These findings will add to the limited research on hijra and enhance the understanding of the process of minority inclusion. It will help determine the needs of hijra individuals and implement better policies. However, there is scope for further research on hijra individuals across Bangladesh to accurately reflect their inclusion process and the different strategies they implement to survive in the bitter socio-economic condition intersected by multiple modes of discrimination.
Nanofluidic Membrane Based on Covalent Organic Framework: Design Strategies and Applications
Nanofluidic is an emerging field of applying fluid properties in nanochannels or nanostructures. The nanoporous channel with a pore size of less than 100 nm will strongly affect the motion of the fluid. Meanwhile, the pore environment, such as hydrophilic and hydrophobic properties, charge density, and host-guest recognition would be crucial for the transportation of molecules and ions in the pore. This thesis is focused on the synthesis, characterization of nanofluidic membranes and their applications to reverse electrodialysis. Chapter 1 focuses on the importance and objective of this work. Chapter 2 gives an overview of nanofluidic and classical nanofluidic structure–covalent organic frameworks (COFs). In Chapter 3, a series of COFs membranes with different surface charge densities were designed by employing a multivariate (MTV) strategy. A volcano-like relationship between the surface charge density and output power density was observed when the membranes were applied for osmotic energy harvesting. Chapter 4 integrates the temperature gradient to the covalent organic frameworks nanofluidic system to further explain the thermophoretic mobility of ions. The recorded osmotic energy production density was obtained while ion concentration polarization was alleviated with increasing hydrodynamic convection effects. In Chapter 5, a coupled photon-electron-ion transport behavior across ionic covalent organic framework membranes with chromophoric porphyrin struts was demonstrated. Photoexcitation-induced ion transmission was developed by converting external light into electric signals. Chapter 6 includes the summary of this thesis.
"Joe on the Bus"
Joe Phillips, born in London to two American psychologists, worked for almost a decade as a solo motorcycle response unit in London before making the life-altering decision to change his path. Joe sold all of his belongings and purchased a traditional Red Routemaster double-decker bus to live and travel on in the United States. After the year-long bus journey, Joe chose to stay in the United States and purchased 22 acres of land in Coldspring, Texas where he is building his eco-paradise.
Emotion Regulation in Bipolar Disorder: A Meta-Analytic Review
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 may be uniquely characteristic of BD. Findings of this review support the importance of targeting emotion regulation in assessment and treatment of BD. Notably, psychotherapeutic interventions focused on emotion regulation, such as cognitive therapies, may be a key factor in reducing BD risk and episode recurrence.
Southeast Denton Neighborhood Needs Assessment for Program Evaluation and Development
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 social cohesion, community partnership, and organizational partnership. The purpose of this research project is to understand how a minority-based neighborhood formed out of a legacy of structural racism, create resources that challenge gentrification and establish social cohesion utilizing a strong community asset such as the MLK Jr. Recreation Center. While this project will not bring immediate change, the goal is to lay the foundation for navigating program evaluation and development in gentrifying neighborhoods.
Development and Thermo-Mechanical Testing of Low Hysteresis Shape Memory Alloy for Satellite Actuators
Shape memory alloys (SMAs) have gained much attention as a powerful source of actuation due to their improved performance, reduced size, and reduced complexity between components as well as having a high work output density. Their primary mechanism of actuation relies on a non-diffusional cyclic phase transformation from martensite to austenite, where the amount of thermal energy needed per cycle is directly associated with the hysteresis width between the austenite final and martensite final temperatures. Consequently, a narrower gap between those two temperature ranges requires a much lower energy demand to produce the actuation needed. Previous studies have indicated that the hysteresis width is linked to a strong coherence between the austenite/martensite interface. It has been shown that elemental additions to NiTi-based SMAs can further improve this coherency. Another huge challenge facing this unique technology is linked with its thermo-mechanical stability. Binary NiTi SMAs often exhibit significant transformation temperature shifts after each thermo-mechanical cycle, which can contribute to a shorter lifespan. The primary goal of this project is to identify and develop thermo-mechanically stable, low hysteresis shape memory alloys (LHSMAs) for actuator applications. To accomplish this goal, elemental additions of Cu, Co, Hf, and Pd were incorporated into NiTi-based SMAs and the results were compared in respect to their hysteresis width and thermo-mechanical stability through differential scanning calorimetry, scanning electron microscopy with energy dispersive spectroscopy, and compressive thermo-mechanical testing. Two quaternary SMAs containing small additions of Cu and Pd were shown to exhibit promising results with respect to hysteresis width and good thermo-mechanical stability.
Partisan Media Coverage of Abortion Policy
Public opinion on salient issues and elite's knowledge of the public are both reliant on framed information, as they often depend on the media as a communication tool. Media tone also influences political behavior by affecting the perceptions that the public has on issues and events. In this study I examine the tone and framing of abortion media coverage by three different media outlets each with a different ideology leaning. I test assumptions made by cascade activation model and the economic theory of news making by answering the question how does partisan media report the issue of abortion? I answer this question by analyzing the tone and framing of 45 abortion articles from Politico, a Liberal leaning news outlet, 65 news articles from The Daily Caller, a Conservative news outlet, and 45 news articles from the NY Times, one that is considered independent. Results found that in accordance with what cascading and economic theory of news would predict, the news outlets are likely to prioritize their audience's ideology in their content by keeping it in line with the continually pushed abortion frames that each side identified with.
Space Use, Microhabitat and Macrohabitat Use of the Three-Toed Box Turtle (Terrapene carolina) in North Texas
Box turtle (Terrapene carolina) populations are steadily declining due their unique natural history, effects of climate change, and anthropogenic land use change. There is a need for updated information on box turtle space and micro and macro-habitat use to inform conservation efforts. This study used VHF radiotelemetry and GPS data loggers to examine box turtle space and habitat use in North Texas. Box turtle home range sizes averaged 6.6ha (range = 0.79 - 18.08, n = 23), and males (n = 9) had larger home ranges than females (n = 14; W = 31.5, P = 0.05). Home range size was best explained by a combination of variables including sex and body size, but overall, home ranges that consisted of higher percentages of suitable box turtle habitat were smaller. Box turtles used deciduous forest more than expected and wetlands less than expected by chance (Fisher's exact test, P < 0.0001). The most informative variable for box turtle macrohabitat selection was NDVI. Box turtles selected microhabitats with a higher percent litter (t = -2.16, P < 0.05) and understory cover (t = -5.03, P < 0.05). The results of CART analysis showed the nested importance of macro- and microhabitat and identified NDVI as the most important variable for predicting suitable box turtle habitat. Given these results, we postulate that NDVI can be used to identify suitable box turtle habitat at landscape scales to aid in management and conservation efforts. We found that three-toed box turtles are using habitat differently than what has been reported in eastern box turtles, providing support for the theory that three-toed box turtles should be classified as a separate species.
Change AGENT Project Part 1: Training Staff to Make Responsive Decisions Based on Goals and Rationales and Evaluating the Effects on the Manding Progress of Children with Autism
When autism interventionists within behavioral intervention programs continually assess the child's behavior and context and adjust their teaching behaviors accordingly, the child can quickly progress towards their goals. While evaluations of flexible behavior-change techniques implemented by experienced clinicians are present in the literature, systematic evaluations of staff training procedures to train interventionists in responsive decision making are lacking. In the current study, flexible training procedures were utilized to not only teach direct-line staff to make decisions based on the learner's behavior, but also to understand and articulate the variables they were responding to. During in vivo training sessions, trainers tailored their use of instructions, modeling, practice, feedback, narration modeling and shaping, and decision-making guidance to the dynamic needs of the staff and child. The effects of the treatment package, which consisted of an in-service training and in vivo training sessions, were measured by observing staff teach vocal manding, which was chosen based on the importance of the skill for the child and because it afforded many opportunities for the staff to learn to make decisions about how to occasion and shape responses. The three children with autism who participated in the study made progress in terms of increasing their frequency of independent mands and producing more topographically complex responses. The three staff also improved in their narration of the child's behavioral goals, the decisions they made to reach those goals, and their rationales, which may have served as a mediator in their ability to respond to the child's behavior across varied conditions.
Processing and Shape-Setting of Shape Memory Alloys for Small Satellite Antennas
In this study, four different NiTi-based shape memory alloys (SMAs) compositions were processed, shape-set, and characterized to evaluate their effectiveness as SMA actuation component for satellite antennas. Three of the compositions were commercially available NiTi wires (90°C Flexinol® actuator NiTi wire and Confluent ADB SE508 NiTi wire), NiTi SM495 plates (ATI Specialty Alloys and Components) and the other composition was in house lab-produced NiTiCu plate. Different shape-setting techniques were performed such as pin and plate, fixtures and dies, and finally a sandwich fixture. The two most promising outcomes were the SE NiTi 508 wire and the NiTiCu plate. A SE NiTi 508 wire was first heat-treated at 550 °C for 3 hours and then it was shape-set at 450 °C for 30 min using a Cu tube which was previously deformed to the desired deployment curvature and fixed on a steel rig. The wire was kept inside the Cu tube during the shape-setting process to obtain the desired curvature. After shape-setting, the wire was thermally cycled multiple times. The results showed that the SE NiTi 508 wire was able to retain its deployment shape successfully after each thermal cycle. Furthermore, a NiTiCu plate was sandwiched between two steel sheets which were shaped into the desired full-deployment shape beforehand. The NiTiCu plate was shape-set at 450 °C for 30 min and then thermally cycled multiple times to test its effectiveness. The NiTiCu plate retained its full-deployment shape successfully after every thermal cycle.
The Role of Affiliative and Aversive Personality Traits in Predicting Social Attitudes
Interpersonally aversive, antagonistic, or "dark" traits have been the focal point of research for decades. In more recent personality research, affiliative, prosocial, or "light" traits have become an area of emerging interest. Examining both domains may allow for a more comprehensive perspective to understanding behaviors and social attitudes involved in human nature related to social dominance and authoritarianism. The purpose of this study was to explore the associations among aversive versus affiliative personality traits with social dominance orientation (SDO) and right-wing authoritarianism (RWA). Both SDO and RWA are robustly tied to prejudice and discrimination, as well as other negative interpersonal characteristics. In this way, the current study will help address if expression of SDO and RWA are primarily linked with presence of a negative (aversive traits) or more so with the absence of a positive (affiliative traits) The current study involved a large general population sample of males who were assessed with Self-Report Psychopathy Scale-Short Form (SRP-SF), subscales from the Short Dark Tetrad (SD4), and the Light Triad Scale (LTS), along with variables tapping the multifaceted domains involved in SDO and RWA. In addition to a series of multiple regression analyses, an exploratory structural equation model (ESEM) was tested to uncover the structure and predictive value of aversive and affiliative traits. The findings of this study may help to further understand individual differences in aversive and affiliative dispositions and their link to critical external correlates.
Machine Learning Improvements for Data Partitioning and Classification Applied to Cardiac Arrhythmia Signals
This thesis creates a new method for the ethical splitting of data as well as improvements to neural network architectures to increase performance. Ethical dataset splitting should be based on statistics from the data, this prevents artificial manipulation of the data that helps or hurts the performance of a network. This bias introduced to the dataset can also be present by using the popular method of randomly splitting data into datasets. To remove bias from dataset splitting, the splits of a dataset must be based on statistics from the data. Improving neural network architectures to increase performance is very important for a wide range of applications, especially for classification of heartbeats. Every improvement matters, especially when the application means that any errors could put the life of a person in danger. These advancements being applied to heartbeat classification have exciting implications for saving thousands of lives and billions of dollars. The presented methods can also be expanded to a wide variety of applications and adapted to different types of data as increasing performance and splitting up datasets is important in all fields of machine learning.
Science and Politics in Forest Management
In this thesis, I explore strategies used by the local timber industry to influence forest policy on the Black Hills National Forest. These strategies include leveraging political pressure, proposing alternative interpretations of existing laws, and first requesting and then rejecting scientific data. Discursive strategies used by the timber industry to influence US Forest Service policy are compared and contrasted with those used by the environmental movement. The paper explores when and why stakeholders use different discursive strategies to influence forest policy.
An Optimized Control System for the Independent Control of the Inputs of Doherty Power Amplifier
This thesis presents an optimized drive signal control system for a 2.5 GHz Doherty power amplifier (PA). The designed system enables independent control of the amplitudes and phases of the drive signals fed to the inputs of two parallel PAs. This control system is demonstrated here for Doherty PA architecture with a combiner network which is used as an impedance inversion between the path of two parallel connected PAs. Independent control of the inputs is achieved by incorporating a variable attenuator (VA) and a variable phase shifter (VPS) in each of the two parallel paths. Integrating VA and VPS allows driving varying power levels with an arbitrary phase difference between the individual parallel PAs. A Combiner network consists of a quarter-wave transmission line at the output of the main power amplifier, which is used to invert the impedance between the main and peaking transistor. The specific VA (Qorvo QPC6614) and VPS (Qorvo QPC2108) components that are used for the test system provide an amplitude attenuation range from 0.5 dB to 31.5 dB with a step size of 0.5 dB and a phase range from 0◦ to 360◦ for a step size of 5.6◦at the intended operating frequency of 2.5 GHz, offering the benefit of characterizing the behavior of PAs under test for an extensive range of drive signals to optimize the output performance such as power added efficiency (PAE) or adjacent channel leakage ratio (ACLR). For demonstration, the designed drive signal control system is integrated with two parallel GaN transistor-based PAs (Qorvo QPD0005) with a P1dB of 37.7 dBm. Each PA is preceded by a drive amplifier with a gain of 17.8 dB to boost the power fed into the PA. The control system incorporates various custom-designed components such as a 20 dB directional coupler, a 3 dB Wilkinson power …
Analysis of Compressive Sensing and Hardware Implementation of Orthogonal Matching Pursuit
My thesis is to understand the concept of compressive sensing algorithms. Compressive sensing will be a future alternate technique for the Nyquist rate, specific to some applications where sparsity property plays a major role. Software implementation of compressive sensing (CS) takes more time to reconstruct a signal from CS measurements, so we use the orthogonal matching pursuit and basis pursuit algorithms. We have used an image size of 256x256 is used for reconstruction and also implemented a field-programmable gate array (FPGA) of the orthogonal matching pursuit using an image.
Process Planning for Hybrid Manufacturing with Directed Energy Deposition and Machining Processing
This thesis details the creation and application of a generalized process plan for the hybrid manufacturing of AISI 316L stainless steel, using direct energy deposition (DED) and ball-nose end-mill machining, that includes the inspection and measurement of objects created by that hybrid manufacturing process plan. The proposed process plan progresses through the selection of substrate thickness, single-track, multi-track, and multi-layer depositions, then on to machining processing. A manufacturers' recommended set and range of DED parameters were used to create a designed experiment that aided in the analysis of objects created in each of the DED process planning steps; those objects were then machined in the same enclosure using a set of machining parameters screened from industry recommendations for ball-nose milling of stainless steel, after which measurements were taken for surface roughness, some material characteristics, and for tool deterioration. The results, analyses, and discussions collected herein show that the proposed process plan can provide models for geometrical outputs for each step in the plan, some improvements in substrate stability, surface roughness, tool deterioration, and material porosity due to voids. Current research in hybrid manufacturing does not show generalized process planning influences. The process plan as demonstrated by the work in this thesis will help operators, designers, and researchers in the future by defining a generalized workflow that can be applied to other materials used in hybrid manufacturing.
An Extension of a Peer-Mentoring Training Program for College-Aged Students
An important predictor of the success of a peer-mentoring program is the quality of the relationship between the peer mentor and the mentee. A previous study identified target outcomes, operationally defined target behaviors, and developed a computer-based instruction (CBI) training module to teach peer mentors relationship skills. The previous study suggested that the CBI training module increased target behaviors in pre-and post-tests that were typed. The current study replicated and extended the previous study with additional participants and analyzed responding during a video-chat generalization assessment. We observed an increase in target behaviors during the CBI post-test for 7 out of 8 modules across two participants and an increase in target behaviors for 5 out of 12 target behaviors across three participants for the generalization assessment. Results suggest that the CBI training modules may be an effective way to teach behaviors that contribute to a high-quality relationship when participants engage in typed responses. However, the extent to which these behaviors generalize to a video-chat generalization assessment may need further research.
Barriers and Facilitators of College Athletes Seeking Mental Health Services
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.
Investigation of the Processing-Induced Transition from Shape Memory to Strain Glass of Ni-Ti and Fe-Mn-Al-Cr-Ni Alloys
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 to methods of creating induced disorder in an SMA to generate an SGA transition.
The Effects of Voluntary and Involuntary Muscle Recruitment Training on the Strength of Isometric Muscle Contractions
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.
Seeing in the Light: Using Expansion Microscopy to Achieve Super-Resolution in Transmitted Light
Light microscopy is inherently limited in resolution by properties of light such as diffraction and interference to 170-250 nm. Expansion microscopy is a quickly-developing method which achieves super-resolution by using a swellable hydrogel to physically expand biological samples themselves, rather than depending on the properties of fluorophores. This thesis demonstrates that expansion microscopy is a feasible means for achieving super-resolution in transmitted light microscopy modes. Though it has only been used for fluorescence imaging in the past, here I show that samples prepared for expansion microscopy—including liver tissue slices and myofibrillar bundles—are observable using transmitted light. While the majority of the original sample material is removed in the expansion process, the hydrogel retains visible evidence of these samples. These demonstrate increased detail under brightfield microscopy that is useful for characterization. Sarcomeric regions are identifiable by this method and are confirmed by fluorescence imaging. Thus, expansion microscopy is a means to bring super-resolution to transmitted light imaging and is entirely compatible with fluorescence for the localization of proteins of interest.
Applications of Machine Learning for Remote Sensing and Environmental Monitoring
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.
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