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.

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 study was the first to examine the impact of immigrant-focused public policy on the educational outcomes of Latinx students in professional nursing. Between 2001-2020, 34 states adopted policies that either provided or prohibited in-state resident tuition (ISRT) and/or state financial aid (SFA) to undocumented students. Deferred Action for Childhood Arrivals Act (DACA) passed in 2012 gave a new group of largely Latinx, college-age immigrants unprecedented access to public higher education and employment. A rapid increase in the proportion of nursing degrees earned by all Latinx students, not just those who were undocumented, occurred concurrently with these federal and state-level policy changes. This study utilized fixed-effects panel analysis to estimate the relationship between DACA, ISRT, and SFA policies for undocumented students on the percent of nursing degrees earned by Latinx students between 2005-2020. None of the policies analyzed in this study were significant predictors of Latinx nursing degree completions. Broad cohesion among all models instead pointed toward the importance of gains in overall degree production among all Latinx college students, underscoring the important role of higher education in the creation of environments that support the success of students from this target population.

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.

White paper discussing the results of a public survey regarding keyword assignment for digital library photographs and providing initial analysis regarding the responses and next steps for the project.

The single-mother college student population has quietly grown to over two million undergraduate students over the last two decades, but most of them will not attain a degree. What has been missing is a better understanding of the lived experiences of successfully persisting single-mother college students as told by the women themselves. This phenomenological case study interviewed 11 students from a regional university in the southwestern portion of the United States. Four themes emerged as expressed by the participants themselves: "Just because you have a baby doesn't mean your life is over" (Rebekah); "In the middle of a test, my kid throws up" (Sarah); "They're building me to be independent" (Anna Maria); and "I'm really doing this" (Juno). Their synthesized lived experiences were expressed through the simile of a seasoned gymnast. Overall, they shared adeptness at resource management and problem solving, strategically using support while building resiliency and self-efficacy. This study of successfully persisting single-mother college students can aid institutions in improving their support mechanisms for these students.

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 …

The purpose of this study was to investigate the effects of Pb and hypoxia co-exposure on Pb toxicity and Ca homeostasis in early life stage (ELS) zebrafish (Danio rerio). Previous evidence indicates that exposure of ELS zebrafish to hypoxia (~20% air saturation) reduces Ca uptake, likely through down-regulation of the apical epithelial Ca channel (ECaC). Considering that Pb and Ca are known antagonists and compete for uptake pathways, it was hypothesized that co-exposure of Pb with hypoxia would decrease Pb toxicity by reducing Pb uptake (likely mediated through a reduced number of ECaCs). However, it was shown that at 96 hpf, whole body accumulation of both Pb and Ca was lower at 40% air saturation compared to 100% and 20% air saturation. This result closely aligned with the 96h LC50 results which showed the highest mortality of zebrafish at 40% compared to the other air saturation levels. This suggests that toxicity is likely the result of exacerbated hypocalcemia at 40% air saturation due to both Pb competition for Ca binding to Ca uptake channels/transporters, such as ECaC, and potentially reduced expression of such channels/transporters in response to this level of hypoxia. Overall, it appears that ELS zebrafish respond differentially to …

Use and effectiveness of the quiet eye (QE) technique has been a topic of interest in sport, exercise, and performance psychology. The primary purpose of this study was to investigate the influence of QE self-training on college students' internal processes associated with performing a novel task. Specifically, college students' internal processes were examined to understand how QE self-training influenced performance on a novel aiming task. College students (N = 106; M = 21.84 ± 1.79) voluntarily participated in QE self-training intervention. Participants' self-efficacy, self-regulation, and mindfulness was examined before and after QE self-training intervention over a 7-week period, with performance being measured weekly. Following intervention, interviews and follow-up survey were used to gather information about perceptions of using QE self-training instruction. Results indicated outcome performance improved from pre- to post-intervention. Additionally, participants mindfulness acting with awareness and non-judging of inner experiences was influenced by QET self-training. Findings from this study may help sport coaches and performance psychology professionals provide attentional focus training instruction to individuals with diverse levels of skills while also providing future directions for applied practice and research.

Networks that self-organize in response to information are one of the most central studies in complex systems theory. A new time series analysis tool for studying self-organizing systems is developed and demonstrated. This method is applied to interacting complex swarms to explore the connection between information transport and group size, providing evidence for Dunbar's numbers having a foundation in network dynamics. A complex network model of information spread is developed. This network infodemic model uses reinforcement learning to simulate connection and opinion adaptation resulting from interaction between units. The model is applied to study polarized populations and echo chamber formation, exploring strategies for network resilience and weakening. The model is straightforward to extend to multilayer networks and networks generated from real world data. By unifying explanation and prediction, the network infodemic model offers a timely step toward understanding global collective behavior.

Educators often inquire about the readability of books and other documents used in the classroom, with the idea that readability supports students' reading comprehension and growth. Documents used in classrooms tend to be language-based, so readability metrics have long focused on the complexity of language. However, such metrics are unsuitable for multimodal documents because these types of documents also use non-language modes of communication. This is problematic because multimodal reading is increasingly recognized as a 21st-century skill. One information theoretic solution is transinformation analysis, an approach that measures readability as the difference between the objective entropy of a document and the subjective entropy of its reader. Higher transinformation indicates more information complexity. This study explored the viability of transinformation analysis as a measure of multimodal readability. Think aloud screen recordings from 15 eighth grade "advanced readers" of Episode 2 of the born-digital novel, Inanimate Alice served as the dataset. Findings showed that 14 of the readers attended to less than half the information in the story. Mean readability was .57, indicating a complex reading experience. Readers attended to and recalled information primarily from the linguistic mode, which may have been a strategy for reducing cognitive load, or it may have …

A rapidly growing topic of great interest is the adaptation of benchtop analytical instrumentation for use in outdoor harsh environments. Some of the areas that stand to benefit from field instrumentation development include government agencies involved with the preservation of the environment and institutions responsible for the safety of the general public. Detection systems are at the forefront of the miniaturization movement as the interest in analyte identification and quantitation appears to only be accessible through the use of analytical instrumentation. Mass spectrometry is a distinguished analytical technique known for its ability to detect the mass-to-charge (m/z) ratios of gas-phase ions of interest. Although these systems have been routinely limited to research lab-based analysis, there has been considerable development of miniaturized and portable mass spectrometry systems. Membrane Inlet Mass Spectrometry (MIMS) is becoming a common method of sample introduction that is subject to significant development. MIMS allows for minimal sample preparation, continuous sampling, and excludes complicated analyte introduction techniques. Sampling is accomplished using a semipermeable membrane that allows selective analyte passage into the vacuum of the mass spectrometer. MIMS is becoming the preeminent choice of homeland security and environmental monitoring applications with increasing opportunities for the future development of specialized …

Recently, disaster scene description and indexing challenges attract the attention of researchers. In this dissertation, we solve a disaster-related multi-labeling task using a newly developed Low Altitude Disaster Imagery dataset. In the first task, we realize video content by selecting a set of summary key frames to represent the video sequence. Through inter-frame differences, the key frames are generated. The key frame extraction of disaster-related video clips is a powerful tool that can efficiently convert video data into image-level data, reduce the requirements for the extraction environment and improve the applicable environment. In the second, we propose a novel application of using deep learning methods on low altitude disaster video feature recognition. Supervised learning-based deep-learning approaches are effective in disaster-related features recognition via foreground object detection and background classification. Performed dataset validation, our model generalized well and improved performance by optimizing the YOLOv3 model and combining it with Resnet50. The comprehensive models showed more efficient and effective than those in prior published works. In the third task, we optimize the whole scene labeling classification by pruning the lightweight model MobileNetV3, which shows superior generalizability and can disaster features recognition from a disaster-related dataset be accomplished efficiently to assist disaster recovery.

We investigated the hypothesis that exposure to inhaled diesel exhaust PM can alter the gut microbiome and intestinal integrity, thereby promoting systemic inflammatory response and early CVD risk, which are exacerbated by HF diet. Furthermore, we investigated whether the observed exposure and diet-mediated outcomes could be mitigated through probiotic treatment. We performed an exposure study on C57Bl/6 male mice, placed on either a low fat (LF) diet or a high-fat (HF) diet, and exposed via oropharyngeal aspiration to 35 μg diesel exhaust particles (DEP) suspended in 35 μl of sterile saline or sterile saline controls (CON) twice a week for four weeks. A subset of mice on HF diet were dosed with 0.3 g/day (PRO, ~7.5x108 CFU/day) of probiotic Ecologic® Barrier 849 (Winclove Probiotics) in drinking water during the course of the study. For our first aim, we investigated the alterations in the gut microbiome, measured circulating cytokines and lipopolysaccharide (LPS), and measured CVD biomarkers in the heart. Our results revealed that exposure to inhaled DEP results in gut dysbiosis characterized by expansion of the phyla Verrucomicrobia and Proteobacteria and reduction in Actinobacteria, which was exacerbated by HF diet. Probiotics mitigated the DEP-mediated expansion of Proteobacteria and re-established Actinobacteria in …

By building self-efficacy in individual teachers and collective efficacy in grade level teams, principals can improve the instructional practices that take place on campuses. Instruction impacts student achievement. Principals indirectly impact student achievement through instruction that happens in the classroom. The purpose of this mixed methods study was to examine the relationship between the behavior of instructional leaders and teachers' self-efficacy and collective efficacy. Data collection tools included a survey, semi-structured interviews, and observations of interactions and behaviors of teachers and principals at two Title I elementary schools in a large suburban school district in the Dallas-Fort Worth metroplex. Teacher self-efficacy and collective efficacy were seen through the lens of classroom management, instructional strategies, group competency, student engagement and task analysis. Teacher efficacy at both schools were influenced by leadership behaviors through direct and indirect actions. Instructional leaders must be adept at using tools, such as PLCs and walkthroughs, to contextualize the needs of all stakeholders and bring about high levels of efficacy in teachers and student achievement.

Benzannulation to porphyrin 2,3 positions has previously been accomplished using various methodologies in the past century, yet there remain limited methodologies to both annulate to the porphyrin periphery and add functional moieties that can then be derivatized for diverse applications. This dissertation describes the development of synthetic routes and characterization of a variety of linearly-annulated, functionalized, β,β'-π-extended porphyrins. There are five chapters in this dissertation, the first of which introduces synthesis and properties of porphyrins and π-extended porphyrins. Chapter 2 describes synthesis of pentacenequinone-fused and pentacene-fused poprhyrins with distinct and new optical absorbance properties. In chapter 3, synthesis and characterization of benzimidazole-fused porphyrins displaying external metal binding capability is described. The synthetic method developed in chapter 3 is extended in chapter 4 to synthesis of bisbenzimidazole-fused porphyrin dimers that show split Soret character, likely due to excitonic coupling between porphyrins of the dimer. Chapter 5 summarizes this dissertation and describes future directions that this dissertation provides foundation for.

Women continue to be underrepresented in superintendent roles in public schools. The purpose of this narrative inquiry was to explore the lived experiences and perceptions of women superintendents regarding the professional and personal factors that impacted their ability to be promoted to the position of superintendent in Texas public school districts. I applied role congruity theory (RCT) to participants' shared stories to ascertain how their promotion to the superintendency was affected by gender-related role stereotypes. Based on that lens, my findings revealed that every woman believed both formal and informal mentorship and networking opportunities were critical factors in being promoted to the superintendency and their continued success in that role; they perceived they had control over deciding how to balance family and work-life, they agreed they needed to have a supportive family; they perceived that hard work was directly correlated to promotion to or success in the superintendency, more so than gender. While each of the women may have experienced gender-related issues in their career, none perceived that gender-related issues impacted their ability to be promoted. Most of my participants said the career path they followed was a factor, and suggested that other women should be strategic about which superintendent …

Historical dress as a museum theater and research process encompasses material, technological, and cultural experiences from the past in the present. This research examines how intimate experiences with heritage materials, processes, and environments may impact development of educator pedagogy. Historical attractions in the US draw visitors due in part to providing guests with context for the objects and built environments displayed. New Materialist theory offers insights into how inanimate objects and environments "teach" human and non-human entities in their own right. Using a New Materialist lens, I observed, interviewed, and conducted participant observations through a novel research methodology, intra-active narrative inquiry, with costumed museum educators to better discern how relations between humans and historical materials intra-act as embodied experiences of object knowledge in museum pedagogy.

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.

In this study, I examined the use of mouse (Mus musculus) Fat Specific Protein 27 (FSP27) ectopically expressed in Arabidopsis thaliana and Nicotiana benthamiana as a means to increase lipid droplet (LD) presence in plant tissues. In mammalian cells, this protein induces cytoplasmic LD clustering and fusion and helps prevent breakdown of LDs contributing to the large, single LD that dominates adipocytes. When expressed in Arabidopsis thaliana and Nicotiana benthamiana, FSP27 retained its functionality and supported the accumulation of numerous and large cytoplasmic LDs, although it failed to produce the large, single LD that typifies adipose cells. FSP27 has no obvious homologs in plants, but a search for possible distant homologs in Arabidopsis returned a Tudor/PWWP/MBT protein coded for by the gene AT1G80810 which for the purposes of this study, we have called LIPID REGULATORY TUDOR DOMAIN CONTAINING GENE 1 (LRT1). As a possible homolog of FSP27, LRT1 was expected to have a positive regulatory effect on LDs in cells. Instead, a negative regulatory effect was observed in which disruption of the gene induced an accumulation of cytoplasmic LDs in non-seed tissue. A study of lrt1 mutants demonstrated that disruption this gene is the causal factor of the cytoplasmic LD …

This dissertation tested the hypothesis that energy transferred from a plasma or plume can be used to optimize the structure, chemistry, topography, optical and electrical properties of pulsed laser deposited and sputtered thin-films of ZnO, a-BOxNy, and few layer 2H-WS2 for transparent electronics devices fabricated without substrate heating or with low substrate heating. Thus, the approach would be compatible with low-temperature, flexible/bendable substrates. Proof of this concept was demonstrated by first optimizing the processing-structure-properties correlations then showing switching from accumulation to inversion in ITO/a-BOxNy/ZnO and ITO/a-BOxNy/2H-WS2 transparent MIS capacitors fabricated using the stated processes. The growth processes involved the optimization of the individual materials followed by growing the multilayer stacks to form MIS structures. ZnO was selected because of its wide bandgap that is transparent over the visible range, WS2 was selected because in few-layer form it is transparent, and a-BOxNy was used as the gate insulator because of its reported atomic smoothness and low dangling bond concentration. The measured semiconductor-insulator interfacial trap properties fall in the range reported in the literature for SiO2/Si MOS structures. X-ray photoelectron spectroscopy (XPS), Hall, photoluminescence, UV-Vis absorption, and X-ray diffraction (XRD) measurements investigated the low-temperature synthesis of ZnO. All films are nanocrystalline with …

Cheating, beguiling, and misleading information exist all around us; understanding deception and its consequences is crucial in our information environment. This study investigates deception in phishing emails that successfully bypassed Microsoft 365 filtering system. We devised a model that explains why some people are deceived and how targeted individuals and organizations can prevent or counter attacks. The theoretical framework used in this study is Anderson's functional ontology construction (FOC). The methodology involves quantitative and qualitative descriptive design, where the data source is the set of phishing emails archived from a Tier 1 University. We looked for term frequency-inverse document frequency (Tf-idf) and the distribution of words over documents (topic modeling) and found the subjects of phishing emails that targeted educational organizations are related to finances, jobs, and technologies. Also, our analysis shows the phishing emails in the dataset come under six categories; reward, urgency, curiosity, fear, job, and entertainment. Results indicate that staff and students were primarily targeted, and a list of the most used verbs for deception was compiled. We uncovered the stimuli being used by scammers and types of reinforcements used to misinform the target to ensure successful trapping via phishing emails. We identified how scammers pick their …

Trait-based approaches are useful in ecological research because of their potential ability to predict species responses from patterns present in the community and to infer mechanisms driving community assembly. Current approaches for fishes are lacking traits across all five fundamental niche dimensions (i.e. habitat, life history, trophic, metabolic and defense). This study quantified a broad range of fish functional traits across all five niche dimensions (commonly used traits and novel traits), quantified intra- and interspecific variation for each trait, tested for relationships among traits within and among niche dimensions, tested for phylogenetic conservatism of traits and assessed trait-environment relationships for a subset of these traits under two different contexts. Approximately one third of the quantified traits exhibited greater intraspecific variation than interspecific variation and were not included in subsequent analyses. There were similarities between phylogeny and trait dendrograms for all traits, and habitat, metabolic and defense traits. The traits identified in chapter 2 were able to explain species responses during different flow periods in two intermittent streams as well as species-specific differences in host microbiome at the onset of drought in one intermittent stream. The novel traits identified in chapter 2 did contribute to our understanding of the community assembly …

A collection of poetry concerned with loss and the act of creation.