This study applies the knowledge, skills, and abilities (KSA) framework for eScience professionals to data service positions in academic libraries. Understanding the KSAs needed to provide data services is of crucial concern. The current study looks at KSAs of data professionals working in the United States academic libraries. An exploratory sequential mixed method design was adopted to discover the KSAs. The study was divided into two phases, a qualitative content analysis of 260 job advertisements for data professionals for Phase 1, and distribution of a self-administered online survey to data professionals working in academic libraries research data services (RDS) for Phase 2. The discovery of the KSAs from the content analysis of 260 job ads and the survey results from 167 data professionals were analyzed separately, and then Spearman rank order correlation was conducted in order to triangulate the data and compare results. The results from the study provide evidence on what hiring managers seek through job advertisements in terms of KSAs and which KSAs data professionals find to be important for working in RDS. The Spearman rank order correlation found strong agreement between job advertisement KSAs and data professionals perceptions of the KSAs.

CPU-memory bottleneck is a widely recognized problem. It is known that majority of high performance computing (HPC) database systems are configured with large memories and dedicated to process specific workloads like weather prediction, molecular dynamic simulations etc. My research on optimal address mapping improves the memory performance by increasing the channel and bank level parallelism. In an another research direction, I proposed and evaluated adaptive page migration techniques that obviates the need for offline analysis of an application to determine page migration strategies. Furthermore, I explored different migration strategies like reverse migration, sub page migration that I found to be beneficial depending on the application behavior. Ideally, page migration strategies redirect the demand memory traffic to faster memory to improve the memory performance. In my third contribution, I worked and evaluated a memory-side accelerator to assist the main computational core in locating the non-zero elements of a sparse matrix that are typically used in scientific, machine learning workloads on a low-power embedded system configuration. Thus my contributions narrow the speed-gap by improving the latency and/or bandwidth between CPU and memory.

Mother nature has laid out a beautiful blueprint to capture sunlight and convert to usable form of energy. Inspired by nature, donor-acceptor systems are predominantly studied for their light harvesting applications. This dissertation explores new donor-acceptor systems by studying their photochemical properties useful in building artificial photosynthetic systems. The systems studied are divided into phthalocyanine-porphyrin-fullerene-based, perylenediimide-based, and aluminum porphyrin-based donor-acceptor systems. Further effect of solvents in determining the energy or electron transfer was studied in chapter 6. Such complex photosynthetic analogues are designed and characterized using UV-vis, fluorescence spectroscopy, differential pulse voltammetry and cyclic voltammetry. Using ultrafast transient absorption spectroscopy, the excited state properties are explored. The information obtained from the current study is critical in getting one step closer to building affordable and sustainable solar energy harvesting devices which could easily unravel the current energy demands.

The objective of this study was to locate and describe the learning affordances used within research studies on instructional design. Allowing an instructional designer to see what was used and how applicable it might be for future design would assist with better course creation. Current and past literature supported the importance of this concept after examination of how course creation has evolved within the field of instructional design. Further, the findings elucidated how to help the field evolve in the future by expanding knowledge about learning affordances and providing the broadest set of conceptual definitions by the academics working in the field to include them in their research and instructional designs.

In this paper, I sought to identify and develop a protocol on electrode arrays as a result of rapid aging by applying rapid current over time. We, however, apply a different approach by using phosphate buffer solution (PBS) to mimic the conditions of the body. Here we have established an in vitro protocol for accelerated aging, a process that involves testing in extreme conditions such as oxygen, heat, sunlight, humidity, and vibration aimed at speeding the normal aging process of items; on commercially available shape memory polymer electrode arrays from Qualia over a period of 30 days in PBS. Two electrode arrays were placed in 37°C and 2 were placed in 57°C. Open lead electrochemical impedance spectroscopy (EIS) was conducted on the electrode arrays. Overall, the results showed there were differences in average impedance during this accelerated aging protocol. At 37°C we see that the average impedance values increased as the electrodes were aged at 1kHz from an average of 4.15E6 to 9.14E6 Ohms. At 57°C electrode arrays 4 and 5 showed strong P values well above 0.05, but average impedance increased drastically from 3.27E6 to 9.97E6 and P value of 0.04 from measurement day 24 to day 30. This …

Synthetic biology is a rapidly growing field that aims to treat cellular biological networks in an analogous way to electrical circuits. However, the field of plant synthetic biology has not grown at the same pace as bacterial and yeast synthetic biology, leaving a dearth of characterized tools for the community. Due to the need for tools for the synthetic plant biologist, I have endeavored to create a library of well-characterized TATA box variants in the cauliflower mosaic virus (CaMV) 35S promoter using the standardized assembly method Golden Braid 2.0. I introduced single nucleotide changes in the TATA box of the CaMV 35S promoter, a genetic part widely used in plant gene expression studies and agricultural biotechnology. Using a dual-luciferase reporter system, I quantified the transcriptional strength of the altered TATA box sequences and compared to the wild-type sequence, both in transient protoplast assays and stable transgenic Arabidopsis thaliana plants. The library of TATA-box modified CaMV 35S promoters with varying transcriptional strengths created here can provide the plant synthetic biology community with a series of modular Golden Braid-adapted genetic parts that can be used dependably and reproducibly by researchers to fine-tune gene expression levels in complex, yet predictable, synthetic genetic circuits.

‘Richte mich, Gott' exemplifies Jaakko Mäntyjärvi's pluralistic compositional approach through an interlaced organization of tonal and non-tonal pitch content. The development of ideas in the text of Psalm 43 and the concluding doxology is depicted across both layers of pitch organization and governed by specific structural pitch collections: (0145) and (0257). Moreover, the organic transformation of these structural pitch collections' intervallic content emerges as a fundamental means of progression throughout the work, in turn influencing the intervallic content of surrounding tonal material. This process of transformation and its relationship to the text is revealed through tonal and pitch-class analysis; a flexible approach to segmentation; and an exploration of two-way and three-way symmetry, and the disruption thereof, in pitch space and pitch-class space. An understanding of the interrelationship between pitch material from the tonal and non-tonal layers of pitch organization can aid singers, conductors, and analysts in the efficacy of their study, preparation, and performance of the psalm. The accompanying appendix of targeted choral warm-ups in this document offers choirs a practical method for studying, internalizing, and performing the non-tonal pitch content in the work.

The FeCo-V alloy, commercially referred to as Hiperco, is known for its great soft magnetic properties. However, the high cost of production has limited the usage of this alloy to small-scale applications, where the small volume and high magnetic performance are critical. Additive manufacturing (AM) has the potential to solve the production problems that exist in Hiperco manufacturing. The present research has focused on selective laser melting (SLM) based AM processing of Hiperco. The goal was to perform a detailed examination of SLM processed Hiperco and determine how the process parameters affect the microstructure, mechanical and magnetic properties. While a systematic set of SLM process parameters were employed, the results indicate that the energy density was quite similar for this set of process parameters, resulting in similar properties. Overall, the saturation magnetization (Ms) values were very good, but the coercivity (Hc) values were very high, in the case of all as SLM processed conditions. Additionally, a large variation in porosity was observed in the as SLM processed samples, as a function of process parameters. Interestingly, long-term heat-treatments of these samples in an Ar+H2 atmosphere resulted in substantial decreases in the Hc values. These results are presented and discussed.

The corrosion resistance under elevated temperature of additively manufactured 316L stainless steel made by directed energy deposition was studied. Test samples were prepared in a hybrid additive manufacturing machine using standard deposition parameters recommended by the manufacturer. Control samples were cut from wrought material to compare the results. The test was performed under a corrosive atmosphere with a solution of water with 3.5 % in weight of salt (NaCl). The total duration of the test was 635 hours, divided in five stages of 12, 24, 48, 226, and 325 hours to analyze the samples between each stage. The samples were analyzed quantitatively measuring weight loss and surface topography, and qualitatively by macroscopic inspection with digital photography, and microscopic inspection with optical and scanning electron microscopy. The results show a higher corrosion rate for the additively manufactured samples compared to the control samples. An evident increase in the size of pits initially present on the samples was observed and quantified on the additively manufactured. Although the additively manufactured samples were more aggressively attacked by corrosion, they still presented a shiny surface finish at the end of the test, reinforcing the idea of the formation of a passive oxide layer and suggesting …

Yttria stabilized zirconia (YSZ) is a polymorph with possible phase transformation toughening occurring during impact. The fractography and mechanical properties of laminated alumina and YSZ were studied in this thesis. Five sample types were studied in this thesis: (5:5) Al2O3/YSZ (a sequence of 5 alumina tapes stacked on 5 YSZ tapes), (5:5) Al2O3/YSZ (1 wt.% Pure ZrO2), (7:3) Al2O3/YSZ, Al2O3, and YSZ. Scanning electron microscopy (SEM) and X-ray microscopy (XRM) were used to study morphology and crack propagation with three-point tests performed to study the flexural strength. X-ray diffraction (XRD) spectra of all samples pre and post three-point tests were examined to determine if a change in monoclinic zirconia occurred. The combination of SEM and XRM data found microcracks in the YSZ layers of Al2O3/YSZ laminates with none present on YSZ laminates, leading to the conclusion tensile stress was performed on YSZ during sintering with Al2O3. Fracture patterns show a curving of cracks in Al2O3 layers and abrupt, jagged breaks in YSZ layers with crack forking at major YSZ microcrack regions. YSZ laminates were found to have the highest average flexural strength, but a very high standard deviation and low sample count and Al2O3 laminates having the second highest flexural …

This mixed methods study examined teacher attitudes towards technology and their relationship to the integration of technology in technology-rich learning environments.

Increasing ubiquity of computational resources has enabled simulation of complex electronic systems and modern materials. The PAOFLOW software package is a tool designed to construct and analyze tight binding Hamiltonians from the solutions of DFT calculations. PAOFLOW leverages localized basis sets to greatly reduce computational costs of post-processing QE simulation results, enabling efficient determination of properties such as electronic density, band structures in the presence of electric or magnetic fields, magnetic or spin circular dichroism, spin-texture, Fermi surfaces, spin or anomalous Hall conductivity (SHC or AHC), electronic transport, and more. PAOFLOW's broad functionality is detailed in this work, and several independent studies where PAOFLOW's capabilities directly enabled research on promising candidates for ferroelectric and spintronic based technologies are described. Today, Quantum computers are at the forefront of computational information science. Materials scientists and quantum chemists can use quantum computers to simulate interacting systems of fermions, without having to perform the iterative methods of classical computing. This dissertation also describes a study where the band structure for silicon is simulated for the first time on quantum hardware and broadens this concept for simulating band structures of generic crystalline structures on quantum machines.

Digital language archives are used for the preservation of documented language data, such as video and voice recordings, transcriptions, survey data, and ethnographic fieldnotes. This data is most often used for research and linguists and anthropologists are generally heavily involved in the creation of language archives. Ideally, Indigenous communities that are represented in the archives are also able to access their data, but this is not always the case, especially if poor internet access and lack of technological know-how prevent archive use. In addition, western epistemologies are embedded in archival logics, exacerbating the issues surrounding Indigenous access and pointing to the need for a decolonizing archival design that centers the needs of its users. Using ethnographic research methods and a decolonizing framework, I conducted a usability study on the Archive of the Indigenous Languages of Latin America (AILLA) to uncover the cultural-based meanings that inform AILLA use. Using linguistics and anthropology listservs, I recruited research participants for a Qualtrics survey and conducted semi-structured interviews that explore the user perspective on AILLA. I analyzed AILLA's Google Analytics data and used qualitative and quantitative research methods to build upon the previous literature in user-centered design approaches to language archives. As one of …

Postlingually deafened cochlear implant (CI) adults have large variability in speech perception abilities. While CIs are one of the most successful neural prosthetic devices, they are not able to adequately provide fine structure cues which results in a degraded signal for the listener to interpret. While behavioral measures remain the gold standard for determining speech perception abilities, an objective measure is needed for patients who are unable to provide reliable behavioral responses. Behavioral, cognitive, and neural measures were collected in this study to identify potential neural biomarkers that correlate with speech perception performance. Behavioral experiments evaluated participants' abilities to identify, discriminate, and recognize words as well as sentences in quiet and in noise. Cognitive measures were assessed to determine the roles of attention, impulse control, memory, and cognitive flexibility on speech recognition. Auditory event-related potentials (ERP) were obtained with a double oddball paradigm to produce the mismatch negativity (MMN) response, which has been shown to have associations with phonetic categorical perception at the group level. The results indicated that executive function is highly predictive of speech performance and that the MMN is associated with categorical perception at the individual level. These findings are clinically relevant to determining appropriate follow-up care …

Disaster science is a procedural field often construed as producing blanket policies that attempt to cover everyone, but the complexity of human lived experiences must have a space to exist within disaster science if its research and findings are to be effective. This thesis illustrates that disaster policies and publications often leave out the most vulnerable communities—those in greatest need of collective support. Through critically analyzing beautification through green space, discussing photovoice interviews, and by deconstructing public preparedness documents published by Harris County Office of Homeland Security and Emergency Management (HCOHSEM), it is clear that accumulation by dispossession filters down through not only property and money but also access to green spaces and a healthy life. By dispossessing low-income communities of their right to green spaces and life, those communities end up in places that are environmentally dangerous, leaving them at a disadvantage in the disaster preparedness and recovery process. This thesis serves as a case study highlighting how HCOHSEM failed to provide low-income communities with assistance prior to, during, and after Hurricane Harvey. The lessons from these gaps in protective measures show that public policies need to be malleable to ensure residents of any community are covered. Though no …

This dissertation presents novel approaches to test context aware applications that suffer from a cost prohibitive number of context and GUI events and event combinations. The contributions of this work to test context aware applications under test include: (1) a real-world context events dataset from 82 Android users over a 30-day period, (2) applications of Markov models, Closed Sequential Pattern Mining (CloSPAN), Deep Neural Networks- Long Short Term Memory (LSTM) and Gated Recurrent Units (GRU), and Conditional Random Fields (CRF) applied to predict context patterns, (3) data driven test case generation techniques that insert events at the beginning of each test case in a round-robin manner, iterate through multiple context events at the beginning of each test case in a round-robin manner, and interleave real-world context event sequences and GUI events, and (4) systematically interleaving context with a combinatorial-based approach. The results of our empirical studies indicate (1) CRF outperforms other models thereby predicting context events with F1 score of about 60% for our dataset, (2) the ISFreqOne that iterates over context events at the beginning of each test case in a round-robin manner as well as interleaves real-world context event sequences and GUI events at an interval one achieves …

In this study, I analyze the relationship between sexual permissiveness and affiliation with a fundamentalist religion and how this relationship has changed over time. I first consider previous research that reviews how religious affiliation, religiosity, and religious fundamentalism shapes sex attitudes and, therefore sexual permissiveness. I then review existing studies that discuss what factors influence permissiveness toward different sexual behaviors. Next, I discuss the mechanisms of religious institutions that influence sexual permissiveness. Prior literature motivates my research question as there is a lack of studies that explore sexual permissiveness across religious affiliations. This study fills a void in the existing literature by exploring the gap in sexual permissiveness between religious affiliations and how that gap has changed over time. After considering the current literature, I introduce a hypothesis exploring the relationship between sexual permissiveness and affiliation with fundamentalist religion. This study performs OLS regression using secondary data from the General Social Survey (GSS) that describes respondents' religiosity, religious affiliation, and attitudes towards sex. The study's findings show that affiliation with more fundamentalist groups is significantly correlated with more conservative sex attitudes reflecting lower levels of sexual permissiveness. The results also suggest that the gap in sexual permissiveness between those that …

This study was a replication and an extension of the 2021 research performed by Spurgin and Borquez on the correspondence between receptive and expressive behavior. Spurgin examined the role of the echoic in a hear-say procedure with adult learners, while Borquez examined the role of the echoic in both hear-say and see-say procedures. Both studies found that receptive and expressive correspondence did not occur consistently across participants. The present study asked if the fading steps used during training contributed to the results of the previous researchers. In the present study, the fading steps were changed to minimize the chance that the participant developed a position bias. The conditions were also counterbalanced to analyze the effects of hear-say vs. see-say, easy vs. difficult words, and the order in which the words were trained on the acquisition of receptive labels and the emergence of expressive labels. The study consisted of five phases: pre-training, hear-say teaching, see-say teaching, receptive testing, and expressive testing. Results indicated that although that acquisition of receptive labels improved, the change in fading steps did not make a significant difference in the correspondence of receptive and expressive language. Results showed similar correspondence in the hear-say and see-say procedures. Easy …

The American Clarinet School includes approaches to clarinet playing from European immigrants who instilled their musical style and ideas in the first generation of American-born clarinetists. Some of the first influential pedagogues from Europe include Daniel Bonade (1896-1976), Gustave Langenus (1883-1957), Gaston Hamelin (1884-1951), and Simeon Bellison (1881-1953). Even though they inspired many ideas of the American approach to clarinet, they were known in their time as performers rather than teachers first. The aim of this dissertation is to provide further examination into the modern clarinet professorship in the United States by examining three of the first generation of American-born clarinet professors and their contributions to pedagogy: Keith Stein (1908-1980), William Stubbins (1911-1975), and Himie Voxman (1912-2011). Topics discussed include embouchure, hand position, articulation, technique, expression and phrasing, equipment, teaching beginners, and repertoire.

This was a mixed-method user-centered study regarding the University of North Texas's student-owned learner record and credentialing system. Through methods of quantitative and qualitative inquiry, student perceptions were unearthed and recommendations to improve the system were provided.

This research explores the relationship between narrative, empathy and anxiety in art museum education. The study begins from my personal experience with anxiety and is methodologically rooted in narrative inquiry and friendship as method. In this study, I propose a creative method of narrative postcard writing called (fe)mail – rooted in a feminist ethic of care that seeks to understand and empathize with the experience of others through correspondence. This research asks relevant questions about the future of art museum programming for mental illness and the act of writing (fe)mail as a reflective practice for academics and educators in the field of social science. In my narrative analysis of the program and the data, I also problematizes my role as researcher, educator and friend throughout the study by considering my own biases, expectations and personal educator agenda. The study is divided into two parts. The first comprises correspondence and analysis of (fe)mail between myself and my best friend/co-participant, Atleigh. In Part I, I conduct a narrative analysis of the (fe)mail data produced between us in order to answer the following questions: What qualities of (fe)mail will appear in the exchange? Can (fe)mail be used as a tool for self-care during …

The main research objective of this dissertation is to understand the sensing and communication challenges to achieving cooperative perception among autonomous vehicles, and then, using the insights gained, guide the design of the suitable format of data to be exchanged, reliable and efficient data fusion algorithms on vehicles. By understanding what and how data are exchanged among autonomous vehicles, from a machine learning perspective, it is possible to realize precise cooperative perception on autonomous vehicles, enabling massive amounts of sensor information to be shared amongst vehicles. I first discuss the trustworthy perception information sharing on connected and autonomous vehicles. Then how to achieve effective cooperative perception on autonomous vehicles via exchanging feature maps among vehicles is discussed in the following. In the last methodology part, I propose a set of mechanisms to improve the solution proposed before, i.e., reducing the amount of data transmitted in the network to achieve an efficient cooperative perception. The effectiveness and efficiency of our mechanism is analyzed and discussed.

English learners (ELs) are the fastest growing student group in U.S. public schools. The purpose of this mixed method study was to gain an understanding of the relationship between principal actions and the academic achievement of ELs to determine which practices had the greatest impact on student achievement using archival achievement data. A mixed methods research study was conducted in an urban school district in North Texas to explore differences between principals of schools with high and non-high performance of ELs as it related to the implementation of leadership practices and social justice principles. The principals in the PK-5 grade level band who participated in an online survey, reported statistically significant differences regarding the implementation of leadership practices in the areas of leading student culture and data-driven instruction. Statistically significant differences were also found in the competency of driving for results within the social justice principles. Further data analysis of interview findings revealed the distinction between the high-performing and non-high-performing group to be centered on principal actions as inputs for effective teaching as it related to the implementation of schoolwide systems and processes. Further research is recommended to continue the identification of best practices that support the academic success of …

Broadly defined, group testing is the study of finding defective items in a large set. In the medical infection setting, that implies classifying each member of a population as infected or uninfected, while minimizing the total number of tests.