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High Performance Data Acquisition And Analysis Routines For The Nab Experiment, David Mathews

Theses and Dissertations--Physics and Astronomy

Probes of the Standard Model of particle physics are pushing further and further into the so-called “precision frontier”. In order to reach the precision goals of these experiments, a combination of elegant experimental design and robust data acquisition and analysis is required. Two experiments that embody this philosophy are the Nab and Calcium-45 experiments. These experiments are probing the understanding of the weak interaction by examining the beta decay of the free neutron and Calcium-45 respectively. They both aim to measure correlation parameters in the neutron beta decay alphabet, a and b. The parameter a, the electron-neutrino correlation coefficient, is …

Data Acquisition, Analysis And Simulations For The Fermilab Muon G−2 Experiment, Fang Han

Theses and Dissertations--Physics and Astronomy

The goal of the new Muon g-2 E989 experiment at Fermi National Accelerator Laboratory (FNAL) is a precise measurement of the muon anomalous magnetic moment, a_μ ≡ (g-2)/2. The previous BNL experiment measured the anomaly a_μ(BNL) with an uncertainty of 0.54 parts per million (ppm). The discrepancy between the current standard model calculation of the a_μ(SM) and the previous measurement a_μ(BNL) is over 3σ. The FNAL Muon g-2 experiment aims at increasing the precision to 140 parts per billion (ppb) to resolve the discrepancy between the theoretical …

Constraining The Star Formation Histories Of Galaxies In The Swift/Uvot + Manga (Swim) Value-Added Catalog, Nikhil Ajgaonkar

Theses and Dissertations--Physics and Astronomy

Although our understanding about galaxy evolution has improved in the past few
decades, we still do not understand how galaxies suddenly stop forming stars and move towards a quiescent phase. In order to do that, we must derive the Star Formation Histories (SFHs) of galaxies, that trace the change in Star Formation (SF) inside the galaxy over the cosmic timescale. This is achieved by using a set of spatially resolved near-ultraviolet (NUV) and optical spectroscopic images of the galaxies. We generate the Swift/UVOT + MaNGA value added catalog (SwiM VAC; Molina et al., 2020b) which comprises 150 galaxies having a …

The Vagabond Flourine Atom Revisited: Dissociative Photoionization Of Tri- And Pentafluoropropene, Jessica K. De La Cruz

University of the Pacific Theses and Dissertations

Photoelectron Photoion Coincidence (PEPICO) Spectroscopy studies on two unsaturated hydrofluorocarbons (HFCs), also known as hydrofluoroolefines (HFOs), are presented here. Previously, the Sztáray group has studied the dissociation of trans-1,3,3,3-tetrafluoroprop-1-ene (ElixClean), which is a fourth-generation refrigerant and propellant and has lower global warming potential than its precursors. My study is an extension of the ElixClean study as it aims to explore how the different number of fluorine atoms impact the dissociation reactions of these molecules. Both 3,3,3-trifluoropropene (TFP) and cis-1,2,3,3,3- pentafluoropropene (PFP) are also utilized as propellants and refrigerants.Measurements were carried out with remote access to the CRF-PEPICO (combustion reactions followed …

Ideological Boundaries Of Status Advantages: Legislative Effectiveness In The House Of Representatives In The United States Congress, Francois Collet, Gianluca Carnabuci, Gokhan Ertug, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Prior research assumes that high-status actors have greater organizational influence than lower-status ones, that is, it is easier for the former to get their ideas and initiatives adopted by the organization than it is for the latter. Drawing from the literature on ideology, we posit that the status-influence link is contingent on actors’ ideological position. Specifically, status confers organizational influence to the degree that the focal actor is ideologically mainstream. The more an actor’s ideology deviates from the mainstream the less will her status translate into increased organizational influence. We find support for this hypothesis using data on the work …

Managing Agricultural Nitrogen Losses In Crop Production And Mitigation Of Climate Change Effects, Winnie Ntinyari, Mekonnen Giweta, James Mutegi, Cargele Masso, Joseph P. Gweyi-Onyango

All Peer-Reviewed Publications

Nitrogen (N) losses from cropping systems negatively affect soil quality/fertility, crop yield, and the environment through its contribution to climate change and water pollution. İt possesses oil-water-atmospheric system challenges to both the too much and the too little N application countries. Soil and climatic factors are the critical drivers of N loss from agricultural systems as they influence major processes like nitrification and denitrification. Other N loss pathways include leaching, runoff, and volatilization. Nitrous oxide (N2O) and ammonia (NH3) gases are the two pollutants resulting from N fertilizers in crop production and represent N loss’ significant pathway. Nitrous oxide is …

Performance Of Black Soldier Fly Frass Fertiliser On Maize (Zea Mays L.) Growth, Yield, Nutritional Quality, And Economic Returns, C. M. Tanga, D. Beesigamukama, M. Kassie, P. J. Egonyu, Changeh J. Ghemoh, Kiatoko Nkoba, S. Subramanian, A. O. Anyega, S. Ekesi

All Peer-Reviewed Publications

Although the black soldier fly frass fertiliser (BSFFF) is globally recognised as a promising and potential high-quality organic fertiliser, there is inadequate information on its impact on the growth performance and nutritional status of maize. Furthermore, no information exist on their combination with mineral fertiliser (NPK) as well as economic impact on maize production. This study evaluated the comparative impact of BSFFF, NPK and commercial organic fertiliser (Evergrow®) on growth, nitrogen use efficiency, yield, nutritional quality, and profitability of maize under greenhouse conditions. The treatments included: (1) sole application of BSFFF, conventional compost of brewers’ spent grain (BSG), Evergrow, and …

Generation 1.5 Students’ Academic Success: The Interrelationship Between Capital Used And Identity Formation, Susan D. Dudley

Theses and Dissertations

As the number of people immigrating to the United States increases, so does the number of generation 1.5 students in K-12 education (Kanno & Cromley, 2013). With more generation 1.5 students graduating from U.S. high schools, more are also matriculating into higher education institutions (Harklau & Siegal, 2009; Kanno & Cromley, 2013; Kanno & Harklau, 2012; Roberge, 2009). While some generation 1.5 students are successful in U.S. higher education, others are not, and the percentage of generation 1.5 students who are successful is disproportionately less than the percentage of those students who have a U.S. heritage culture (Kanno & Harklau, …

Associations Between Years Of Teaching Experience And Classroom Management Practices, Responsivenss, And Acceptability To A Coaching Intervention, Nicole M. Peterson

Theses and Dissertations

This study aimed to bridge the research-to-practice gap related to in-service supports and professional development by identifying factors associated with teacher use of evidence-based classroom management practices and responsiveness to a coaching intervention. Years of teaching experience was identified as a teacher-level intervention determinant with a strong research base in the classroom management literature; however few studies used direct observation of behavior to report difference among teacher behavior. This study used quantitative statistical methods to analyze data from a multi-year parent study investigating the effects of a coaching intervention (BEST in CLASS-Elementary) aimed at increasing the use of evidence-based practices …

Temporal Disambiguation Of Relative Temporal Expressions In Clinical Texts Using Temporally Fine-Tuned Contextual Word Embeddings., Amy L. Olex

Theses and Dissertations

Temporal reasoning is the ability to extract and assimilate temporal information to reconstruct a series of events such that they can be reasoned over to answer questions involving time. Temporal reasoning in the clinical domain is challenging due to specialized medical terms and nomenclature, shorthand notation, fragmented text, a variety of writing styles used by different medical units, redundancy of information that has to be reconciled, and an increased number of temporal references as compared to general domain texts. Work in the area of clinical temporal reasoning has progressed, but the current state-of-the-art still has a ways to go before …

Estimating Weighted Panel Sizes For Primary Care Providers: An Assessment Of Clustering And Novel Methods Of Panel Size Estimation On Electronic Medical Records, Martin A. Lavallee

Theses and Dissertations

Primary Care is on the frontlines of healthcare, thus they see the most diverse set of patients. In order to achieve high functioning primary care, a practice must establish empanelment, the pairing of patients to providers. Enumeration of empanelment, or estimating panel sizes, helps ensure that the demands of the patients demand the supply of providers and optimize the balance of primary care resources to improve quality of care. Further we can adjust panel sizes by using patient-level data on healthcare utilization and complexity extracted from the electronic medial record to determine the amount of care or burden of work …

Mathematical Models Of Infection Prevention Programs In Hospital Settings, Kelly A. Reagan

Theses and Dissertations

Hospitals play a vital role in providing for the healthcare needs of a community. Patients can develop hospital-acquired infections (HAIs) during their hospitalization due to exposure to foreign bacteria, viruses, and fungi. Infection prevention programs target and reduce HAIs, but implementing the infection prevention programs often comes with a cost. The goal of my research is to use mathematical models to quantify the impact of infection prevention programs on cases of HAIs and total healthcare costs. First, I use a Markov chain model to quantify how one infection prevention program reduces general HAIs in the hospital. Then, I calculate the …

Improving College Students’ Views And Beliefs Relative To Mathematics: A Systematic Literature Review Followed By A Multiple Case Mixed Methods Exploration Of The Experiences That Underpin Community College Students’ Attitudes, Self-Efficacy, And Values In Mathematics, Marquita H. Sea

Theses and Dissertations

Mathematics is particularly important due to its relevance in our daily lives. It is a general requirement throughout schooling. Unfortunately, many students openly declare negative views/beliefs regarding math in their personal and academic lives. These in turn, negatively influence students’ achievement related behaviors and outcomes. First, a systematic literature review was conducted to determine what types of studies/initiatives have aimed to enhance students’ views/beliefs relative to mathematics, including domain general and specific perceptions of math as well as their judgements of who is successful in mathematics and if they themselves can be successful. Specifically, the review centered on the components …

Synthesis And Modeling Of Manganese Ferrite Nanoparticles For Magnetic Hyperthermia Applications, Margaret E. Thornton

Theses and Dissertations

Biologically targeted magnetic hyperthermia (MH) is a promising cancer therapeutic that is both non-invasive and has the potential to serve as a single-modality cancer treatment. MH operates through the elevation of temperatures between 40-43 °C to induce apoptosis in malignant tumor cells, while the small size of the magnetic nanoparticles preserves the healthy surrounding tissue. At present, MH is limited by low heating efficiency and heterogenous outcomes, and treatment requires direct-injection of the nanoparticles, excluding deep-tissue and metastatic tumors from the therapy. The most popular candidates for MH are the spinel ferrites iron oxide and manganese iron oxide (MFO). These …

Analysis Of Microdroplets And Microorganisms By Single Entity Electrochemistry, Junaid U. Ahmed

Theses and Dissertations

Single Entity Electrochemistry (SEE) is an emerging electrochemical technique that has been used to characterize discrete entities by measuring the change in current or potential during individual stochastic events (collision or adsorption) of an entity with an ultramicroelectrode (UME) of similar dimensions. The shape and magnitude of the SEE signal depend on the underlying mechanism of interaction with the UME surface. There is a critical need for quantitative models that correlate the SEE signal with properties of the entity-UME system, including effects of acquisition instrumentation, to prevent misinterpretation of data.

This research focused on integrated experiments and simulations to quantify …

The L1-Norm Regularized L1-Norm Best-Fit Line Problem And Applications, Xiao Ling

Theses and Dissertations

The best-fit subspace or low-rank approximation of a data matrix revolves
around the norm approximation technique. l²-norm criterion is probably the most
widely used norm for fitting subspaces. As the computational power increases, the
l¹-norm analogue has recently gained attention from the academic community. It is
widely agreed that the l¹ norm is insensitive to outliers, compared to its l² variant.
Because of the polyhedral structure interrelated with linear programming (LP),
the l⁰ norm is commonly relaxed into the l¹-norm problem to induce sparsity in
models. In this work, we examine …

Family Relationships And Academic Performance Via Belongingness Among Cuban Medical Students: Examining Family Legacy And Sex As Moderators, Maria J. Cisneros-Elias

Theses and Dissertations

Medical diplomacy is a foundational part of Cuban domestic and foreign policy (Feinsilver, 2010). Cuba has an abundance of doctors, encouraged by the country’s free medical education program (Hand et al., 2020), and has made a significant impact with its well-established healthcare system, provision of healthcare for all of its citizens, and healthcare support internationally. The current study aims to focus on processes underlying Cuban medical students’ academic performance, as they are a critical component of this successful system, and a population that has received limited empirical attention. Thus, the current study used path analyses to examine the relations between …

Antiviral Effects Of Metalloshielding: Differential Antiviral Activity Of Polynuclear Platinum And Cobalt Compounds, Mary Zoepfl

Theses and Dissertations

The majority of antiviral drug development has focused on virus-specific discovery targeting discrete steps in the individual life cycles. Although great strides have been made for a number of clinically relevant diseases such as human immunodeficiency virus, influenza virus, and hepatitis B, broad spectrum antivirals do not exist. Broad spectrum antivirals would offer (1) treatment for viruses without specifically-targeted antivirals, (2) treatment for viruses which have developed resistance to their available treatments, and (3) a rapidly deployable treatment option in viral epidemics. Many viruses including human cytomegalovirus (HCMV), HIV, and SARS-CoV-2. rely on heparan sulfate (HS), a highly sulfated glycosaminoglycan …

Molten Salt Technologies For Advanced Nuclear Fuel Cycles And Molten Salt Reactors, Dimitris Killinger

Theses and Dissertations

This dissertation provides five topics—an assessment of different monitoring and analytical techniques often cited in the literature for molten salt systems and designs for nuclear engineering applications. First, we explored commonly used materials for quasi-reference electrodes in molten chloride salts. Second, the limitations of the electrochemical analysis known as cyclic voltammetry due to the concentration of uranium(III) present were being investigated. Third, we provided an experimental assessment on the development of a spectroelectrochemical cell for interrogating various spectroelectrochemical techniques, namely chronoabsorptometry and chronofluorometry, and their limitations due to the presence of uranium(III) ions. Fourth, a study on the corrosion resistance …

Automated Conjecturing On The Independence Number And Minimum Degree Of Diameter-2-Critical Graphs, Joshua R. Forkin

Theses and Dissertations

A diameter-2-critical (D2C) graph is a graph with diameter two such that removing any edge increases the diameter or disconnects the graph. In this paper, we look at other lesser-studied properties of D2C graphs, focusing mainly on their independence number and minimum degree. We show that there exist D2C graphs with minimum degree strictly larger than their independence number, and that this gap can be arbitrarily large. We also exhibit D2C graphs with maximum number of common neighbors strictly greater than their independence number, and that this gap can be arbitrarily large. Furthermore, we exhibit a D2C graph whose number …

Evaluating Long-Range Transportation Plans For Mainstreaming Of Climate Adaptation Among Virginia Mpos, Sebastian L. Shetty

Theses and Dissertations

Despite the strides made towards addressing climate change through greenhouse gas (GHG) emissions reduction strategies, it has become increasingly apparent that attempting to mitigate the crisis in such a manner alone is insufficient. This thesis joins a growing body of research on how our societies must adapt to a changing climate, contributing more evidence on common barriers to adaptation and how they might be overcome. Through an attempt to evaluate the progress made towards mainstreaming, or integrating, climate change concerns into five Virginia MPOs’ long-range transportation plans (LRTPs), this study provides support for prior hypotheses around the potential for MPOs …

Periodic Trends In The Infrared And Optical Absorption Spectra Of Metal Chalcogenide Clusters, Alain Ward

Theses and Dissertations

We have investigated the Optical absorption, Infrared spectra, Binding Energies, and various other cluster properties to determine the existence of periodic trend for Transition Metal Chalcogenide Clusters ligated with CO ligands. We were motivated to answer the question of whether periodic behavior can be observed in properties of octahedral metal-chalcogenide clusters. We have used the Amsterdam Density Functional code to calculate the electronic structure of Transition Metal Chalcogenide Clusters using gradient-corrected density functional theory. We determined the existence of several periodic trends in properties of octahedral Transition Metal Chalcogenide Clusters TM₆Se₈(CO)₆. To investigate these …

An Exploration Of A Researcher-Instructor Partnership In Implicit Racial Bias Awareness And Mitigation In College Stem Classrooms, Jacqueline Johnson Wilson

Theses and Dissertations

Seventy-six percent of all minority students who enter college with declared majors in science, technology, engineering, and mathematics (STEM) do not graduate with STEM degrees. Black students represent 40% of minority attrition from STEM. Implicit racial bias was indicated as a contributor to the challenges faced by Black students. The purpose of this study was to explore whether a researcher-instructor partnership brought awareness to and the potential for mitigation of implicit racial bias in course delivery and instructor interactions with Black students in STEM classes. A case study design was used over three phases to gather survey, observational, and interview …

Multi-Modality Automatic Lung Tumor Segmentation Method Using Deep Learning And Radiomics, Siqiu Wang

Theses and Dissertations

Delineation of the tumor volume is the initial and fundamental step in the radiotherapy planning process. The current clinical practice of manual delineation is time-consuming and suffers from observer variability. This work seeks to develop an effective automatic framework to produce clinically usable lung tumor segmentations. First, to facilitate the development and validation of our methodology, an expansive database of planning CTs, diagnostic PETs, and manual tumor segmentations was curated, and an image registration and preprocessing pipeline was established. Then a deep learning neural network was constructed and optimized to utilize dual-modality PET and CT images for lung tumor segmentation. …

A Case Study Exploring How The Zero Barriers In Stem Education Professional Development Program Affects Attitudes And Confidence Toward Teaching Stem Content To Students With Disabilities, Alison Dossick

Theses and Dissertations

This study was designed to assess how the Zero Barriers in STEM Education professional development (PD) course affected teacher attitudes and confidence in teaching science, technology, engineering, and mathematics (STEM) content to students with disabilities. A convergent mixed-methods case study analysis was used. The research questions were devised by examining answers on a pre-survey and post-survey. Documentation included a full analysis of two pre- and post-surveys, teacher implementation logs, team action plans, program evaluations, and semi-structured interviews. Barriers included time to plan and implement the outlined strategies and administrative and colleague support. This research uncovered some of the difficulties of …

Incorporating Ontological Information In Biomedical Entity Linking Of Phrases In Clinical Text, Evan French

Theses and Dissertations

Biomedical Entity Linking (BEL) is the task of mapping spans of text within biomedical documents to normalized, unique identifiers within an ontology. Translational application of BEL on clinical notes has enormous potential for augmenting discretely captured data in electronic health records, but the existing paradigm for evaluating BEL systems developed in academia is not well aligned with real-world use cases. In this work, we demonstrate a proof of concept for incorporating ontological similarity into the training and evaluation of BEL systems to begin to rectify this misalignment. This thesis has two primary components: 1) a comprehensive literature review and 2) …

Biotic Characteristics Of Managed And Unmanaged Coastal Dunes In The Outer Banks, North Carolina, Andrew E. White

Theses and Dissertations

Under future climate change and sea level rise scenarios, Natural and Nature-Based Features (e.g., dunes) that protect coastal habitat and infrastructure will be exposed to increased wave energy and storm surge. Understanding how these forces will impact coastal dunes is necessary for their continued use as protective features. Coastal dunes develop through feedback between vegetation and sediment deposition, a process complicated by species-specific growth rates and responses to burial. Wave flume studies have tested the effects of dune vegetation on erosion and found multiple plant organs across several functional types to be important for resisting erosion. Although dune building and …

Artificial Intelligence-Powered Chronic Wound Management System: Towards Human Digital Twins, Salih Sarp

Theses and Dissertations

Artificial Intelligence (AI) has witnessed increased application and widespread adoption over the past decade. AI applications to medical images have the potential to assist caregivers in deciding on a proper chronic wound treatment plan by helping them to understand wound and tissue classification and border segmentation, as well as visual image synthesis.

This dissertation explores chronic wound management using AI methods, such as Generative Adversarial Networks (GAN) and Explainable AI (XAI) techniques. The wound images are collected, grouped, and processed. One primary objective of this research is to develop a series of AI models, not only to present the potential …

Effect Of Viscoelasticity On Cellular Morphology And Activity, Thomas J. Petet Jr

Theses and Dissertations

It has been well established that there is a link between substrate stiffness and cellular activities such as proliferation, migration, and differentiation. Less characterized is the link between the time-dependent viscosity of a substrate with those cellular activities. To explore this, PDMS substrates were created with predictably tunable stiffness and viscosity parameters. A simulated model was also developed in parallel to explore the potential effects of viscosity in a computationally predictive way. It was found that the inclusion of viscosity caused a major paradigm shift to a non-zero substrate equilibrium that was sensitive to increases in the substrate stiffness. Finally, …

Self- And Socially-Regulated Learning In Middle School Science Classrooms: A Multiple Case Study, Lauren Cabrera

Theses and Dissertations

Students must employ self-regulated learning (SRL) and socially-regulated learning (soRL) in the science classroom, which includes a wide array of independent and collaborative learning activities. However, little is known about how student SRL and soRL co-occur in students’ learning and how the classroom teacher influences that regulation in situ (Cabrera et al., in preparation; Panadero et al., 2015). This explanatory, sequential case study analyzes classroom video data from six middle school science classrooms. The study uses an integrated coding scheme that captures SRL and soRL behaviors, soRL modes, and targets of regulation (Greene & Azevedo, 2009; Hadwin et al., 2018; …