Digital Commons Network^™

An Exploration Of The Contributions Of Parenting Styles And Peer Relationships On The Emotional Expression Of Second-Generation Indian-Americans, Smitha M. Kashi

Doctoral Dissertations

This dissertation used a qualitative analysis methodology to study the contributions of parenting styles and peer relationships on the emotional expressivity of second generation Asian Indian-Americans. Seven participants participated in a 60 - 90 minute long semi-structured interview and the content was analyzed using a thematic analysis approach. Most previous research regarding this topic has been conducted on White American or European individuals and does not take into consideration the many intersectionalities that second-generation Indian-Americans hold. Many participants discussed the lack of direction they experienced in regards to learning about their emotions and disclosed that college and young adulthood provided …

An Exploration Of Adult Children’S Attachment To Their Parents Across Two Cultural Groups: Indians In India And Indians Who Immigrated To The United States, Vilasini Meenakshi Arun

Doctoral Dissertations

Typically, attachment theory has been studied and explored with western populations. Individuals seeking mental health treatment within the United States include western and nonwestern cultural groups and research, theories and interventions that apply to diverse populations are necessary. Attachment relationships are often a part of, or reasons for clients to seek therapy either overtly or covertly, thus allowing research on attachment to better inform treatment plans and practice. An attachment relationship between a parent and child can be influenced by several factors and may change over the course of development, but little is known about this process among Indians …

Creating Whole Inclusive Worlds: The Impact Of Social Media Usage On Black Gender Expansive Millennials’ Experiences Of Social Support And Identity Development Processes, Meredith J. Holmes

Doctoral Dissertations

This qualitative study explored the processes of finding community and developing one’s own intersectional racial and gender identity through the social media (SM) experiences of 8 Black gender expansive (GE) adults located around the United States. Using Interpretative Phenomenological Analysis (IPA) methodology and an intersectional theoretical framework, the research questions guiding the study were: “What is the relationship between Black gender expansive people, social media, and community?” and “What is the relationship between Black gender expansive people, social media, and identity development?” The researcher’s findings from in-depth interviews with participants included three major themes: A) Positive Resilience-Supporting Experiences on SM, …

The Association Between Uncertainty, Reproductive Distress, And Avoidance In Assigned Female At Birth Adolescent And Young Adult (Aya-F) Cancer Survivors, Devon Ann Pons

Doctoral Dissertations

Family building and fertility is a complex component of survivorship for assigned female at birth Adolescent and Young Adult’s (AYA-F’s), often accompanied by a mix of cognitive uncertainty, emotional uncertainty, reproductive distress, and avoidance. These psychological components present in survivorship for AYA-F’s can impact coping, identity development, and individualized care plans throughout survivorship. This novel examination of data from a cross sectional study shed light on the associations between reproductive distress, uncertainty, and avoidance and how they are experienced differently by various subgroups within the sample.

Results demonstrate that reproductive distress fully mediated the association between emotional uncertainty and avoidance, …

Perception Of Pediatric Readiness Across A Health System's Emergency Departments, Rebekah L. Sabo

Doctoral Dissertations

The recent pandemic and pediatric respiratory syncytial virus surge have reinvigorated pediatric care readiness conversations. National strategies and associations exist to guide health systems in improving the quality of emergency care offered to pediatric populations by first assessing readiness for care. These research strategies center on survey implementation and staff engagement in general emergency departments with the goal to improve staff readiness to care for pediatric patients that may present for treatment. What impact would developing a consolidated pediatric readiness program that includes: pediatric emergency care coordinator designation for each emergency department, pediatric readiness education and committee engagement have on …

Effects Of Polymer-Nanoparticle Interactions On The Dynamics Of Attractive Polyhedral Oligomeric Silsesquioxane Nanocomposites, Walter W. Young

Doctoral Dissertations

Polyhedral oligomeric silsesquioxane (POSS) had long been recognized as a critical building block for inorganic-organic hybrid materials with unique and desirable properties and performance. Through synthesis and characterization of polymer/POSS nanocomposites, direct insights into the significant effects of the polymer/POSS interactions on the resulting material properties are obtained. Random copolymers of a hydrogen-bond accepting monomer and a non-interacting monomer are synthesized and loaded with a model amine-functionalized hydrogen bond donating POSS molecule via solution casting, to create a material with well-controlled dynamical heterogeneity. The increase in the glass transition temperature (Tg) of these materials is found to strongly depend on …

Multi-Scale Simulations Of Dynamic Protein Structures And Interactions, Yumeng Zhang

Doctoral Dissertations

Intrinsically disordered proteins (IDPs) are functional proteins that lack stable tertiary structures in the unbound state. They frequently remain dynamic even within specific complexes and assemblies. IDPs are major components of cellular regulatory networks and have been associated with cancers, diabetes, neurodegenerative diseases, and other human diseases. Computer simulations are essential for deriving a molecular description of the disordered protein ensembles and dynamic interactions for mechanistic understanding of IDPs in biology, diseases, and therapeutics. However, accurate simulation of the heterogeneous ensembles and dynamic interactions of IDPs is extremely challenging because of both the prohibitive computational cost and demanding force field …

An Efficient Privacy-Preserving Framework For Video Analytics, Tian Zhou

Doctoral Dissertations

With the proliferation of video content from surveillance cameras, social media, and live streaming services, the need for efficient video analytics has grown immensely. In recent years, machine learning based computer vision algorithms have shown great success in various video analytic tasks. Specifically, neural network models have dominated in visual tasks such as image and video classification, object recognition, object detection, and object tracking. However, compared with classic computer vision algorithms, machine learning based methods are usually much more compute-intensive. Powerful servers are required by many state-of-the-art machine learning models. With the development of cloud computing infrastructures, people are able …

Harnessing Nanocellulose For Sustainable Carbon Capture: Synthesis, Processing, And Performance Evaluation, Jerred C. Wassgren

Doctoral Dissertations

Scientists and governments have recognized the need for environmental remediation, most notably with the adoption of the Paris Agreement in 2016. One of the major concerns is the production of greenhouse gases (GHGs). The major GHG is carbon dioxide (CO₂) in which humans emit over 36 gigatons yearly. Atmospheric CO₂ is responsible for 60% of the heat retained by the earth – resulting in rising temperatures, melting ice caps, and increasing ocean acidification. Therefore, a major goal of the Paris Agreement was to reduce GHG emissions as well as the capture of CO₂ from the atmosphere. …

Lay It On The Line: The Life And Music Of Gladys Bentley, Bianki Torres, J.

Doctoral Dissertations

This work is a historical biography of Gladys Bentley and her blues music. She was a cross-dressing entertainer from the Harlem Renaissance and performed popular songs with added, sometimes improvised sexual innuendo. This study considers the performances of her recorded and written material as trans music, meaning, that black music provided a platform to determine racial, gendered, and sexual cultural expressions changing over time, however, always rooted in black vernacular culture. Using showbills, promotional material, studio recordings and short autobiography, this study follows Bentley’s career as “male impersonator” and the effects lesbian/gay (queer) culture had on her blues. Also, I …

Automated Identification And Mapping Of Interesting Mineral Spectra In Crism Images, Arun M. Saranathan

Doctoral Dissertations

The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has proven to be an invaluable tool for the mineralogical analysis of the Martian surface. It has been crucial in identifying and mapping the spatial extents of various minerals. Primarily, the identification and mapping of these mineral spectral-shapes have been performed manually. Given the size of the CRISM image dataset, manual analysis of the full dataset would be arduous/infeasible. This dissertation attempts to address this issue by describing an (machine learning based) automated processing pipeline for CRISM data that can be used to identify and map the unique mineral signatures present in …

Local Governmental Collective Action And Mandated Policy Implementation, Michael D. Roberts

Doctoral Dissertations

Groundwater depletion is a global concern. Around the world, groundwater supplies more than half the water used for agriculture and human drinking. Many other species and ecosystems are supported by groundwater and rely on the integrity of groundwater and surface water connections. Like many social and environmental problems, addressing the overextraction of groundwater requires collective action across governmental authorities and jurisdictions. To date, there are few examples of successful, voluntary groundwater management. To steer collective action at the local level, higher levels of government often use policy mandates. This dissertation examines the implementation of one such mandate. California’s Sustainable Groundwater …

Examining Social Capital And Its Role In Special Education Leadership, April K. Rist

Doctoral Dissertations

The purpose of this mixed-methods study was to analyze the relationships that existed between the special education leaders and other members of a district leadership team in order to measure their access to social capital. Quantitative data were collected using surveys of one school district’s leadership team and social network analysis (SNA) was used to visually analyze the connections between members of the team. Qualitative data were subsequently collected via semi-structured interviews of each of the 19 members of the leadership team. What types of ties do the special education administrators have to fellow administrators within district leadership teams? What …

Data To Science With Ai And Human-In-The-Loop, Gustavo Perez Sarabia

Doctoral Dissertations

AI has the potential to accelerate scientific discovery by enabling scientists to analyze vast datasets more efficiently than traditional methods. For example, this thesis considers the detection of star clusters in high-resolution images of galaxies taken from space telescopes, as well as studying bird migration from RADAR images. In these applications, the goal is to make measurements to answer scientific questions, such as how the star formation rate is affected by mass, or how the phenology of bird migration is influenced by climate change. However, current computer vision systems are far from perfect for conducting these measurements directly. They may …

The Evolution And Development Of Awns In The Grass Subfamily Pooideae, Erin L. Patterson

Doctoral Dissertations

This research focuses on a specific example of replicated evolution: the grass awn. Awns are typically extensions of the lemma, but may also appear on glumes or paleas. The lemma is a leaf-like organ on the exterior of the grass flower, the glumes are a pair of bracts subtending the basic unit of grass inflorescences, the spikelet, and the palea is the floral organ opposite the lemma. Awns are often described as "hair-" or "bristle-" like, but appear in many different shapes. Many awns are “twisted & geniculate", in which the awn has two sections, a lower twisted column, and …

Drivers’ Hazard Avoidance During Vehicle Automation: Impact Of Mental Models And Implications For Training, Ganesh Pai Mangalore

Doctoral Dissertations

Advanced Driver Assistance Systems (ADAS) are vehicle automation systems that have become more accessible and prevalent in vehicles in recent years. But the introduction of such technologies introduces new human factors challenges. Past literature suggests that users of vehicle automation lack the necessary and appropriate knowledge about their automation system. This may play a negative role in their hazard avoidance abilities when driving with automation features. Improving mental models and knowledge could generally lead to safer interactions with vehicle automation systems, but any effort to develop hazard avoidance skills when driving with vehicle automation is impeded by the lack of …

Policy Gradient Methods: Analysis, Misconceptions, And Improvements, Christopher P. Nota

Doctoral Dissertations

Policy gradient methods are a class of reinforcement learning algorithms that optimize a parametric policy by maximizing an objective function that directly measures the performance of the policy. Despite being used in many high-profile applications of reinforcement learning, the conventional use of policy gradient methods in practice deviates from existing theory. This thesis presents a comprehensive mathematical analysis of policy gradient methods, uncovering misconceptions and suggesting novel solutions to improve their performance. We first demonstrate that the update rule used by most policy gradient methods does not correspond to the gradient of any objective function due to the way the …

Framing Fanart, E J. Nielsen

Doctoral Dissertations

My dissertation, “Framing Fanart,” broadly theorizes media fanart, a form of transformative work that is enormously popular, transnational and transcultural, and at its heart an engaged response to a piece of media. Through physical and digital archival research, discourse analysis, and qualitative research methods, I consider specific examples of how fanart functions within these different framings. This work is some of the first to consider fanart broadly as both a lens through which to view patterns of cultural production and a discrete artefact which merits serious consideration as artwork in its own right.

Multi-Slam Systems For Fault-Tolerant Simultaneous Localization And Mapping, Samer Nashed

Doctoral Dissertations

Mobile robots need accurate, high fidelity models of their operating environments in order to complete their tasks safely and efficiently. Generating these models is most often done via Simultaneous Localization and Mapping (SLAM), a paradigm where the robot alternatively estimates the most up-to-date model of the environment and its position relative to this model as it acquires new information from its sensors over time. Because robots operate in many different environments with different compute, memory, sensing, and form constraints, the nature and quality of information available to individual instances of different SLAM systems varies substantially. `One-size-fits-all' solutions are thus exceedingly …

Incorporating Machine Learning With Satellite Data To Support Critical Infrastructure Measurement And Sustainable Development, Aggrey Muhebwa

Doctoral Dissertations

Under the umbrella concept of Artificial Intelligence (AI) for good, recent advances in machine learning and large-scale data analysis have opened new opportunities to solve humanity’s most pressing challenges. Improvements in computation complexity and advances in AI (e.g., Vision Transformers) have led to faster and more effective techniques for extracting high-dimensional patterns from large-scale heterogeneous datasets (big data). Further, as satellite data become increasingly available at varying temporal-spatial resolutions, AI tools are helping us to better understand the underlying causes of environmental and socioeconomic changes at an unprecedented scale, ushering in an era of data-driven decision-making to support sustainable and …

Investigating The Escape Mechanism Of Sre Bearing Mrna Transcripts During Viral Host Shutoff, Daniel Macveigh-Fierro

Doctoral Dissertations

During viral infection, the virus and host clash for control over gene expression in an evolutionarily arms race that has raged for thousands of years. During lytic replication, Kaposi’s sarcoma associated herpesvirus (KSHV) triggers a massive RNA decay event known as host shut off. This causes over 70% of all RNA to be degraded suppressing the host antiviral response while freeing resources for viral replication. Our lab focuses on a subset of transcripts that escape from this viral degradation event using a cis acting 3’ UTR element known as a “SOX resistant element” or SRE. Although we have identified a …

Quantum Chaos, Integrability, And Hydrodynamics In Nonequilibrium Quantum Matter, Javier Lopez Piqueres

Doctoral Dissertations

It is well-known that the Hilbert space of a quantum many-body system grows exponentially with the number of particles in the system. Drive the system out of equilibrium so that the degrees of freedom are now dynamic and the result is an extremely complicated problem. With that comes a vast landscape of new physics, which we are just recently starting to explore. In this proposal, we study the dynam- ics of two paradigmatic classes of quantum many-body systems: quantum chaotic and integrable systems. We leverage certain tools commonly employed in equilibrium many-body physics, as well as others tailored to the …

Associations Between Early Childhood Sleep, Memory Function, And Brain Development Across The Nap Transition, Sanna Lokhandwala

Doctoral Dissertations

Preschool-age children often distribute their sleep across a midday nap and overnight sleep. Skipping the nap is suggested to increase the duration and depth of deep sleep (i.e., slow wave activity; SWA). Moreover, missing the midday nap has been shown to impair learning processes. This may be because children’s brains at this point in development are immature, necessitating the intervening nap period to strengthen memories before they are forgotten. Nonetheless, at some point during the preschool years, many children begin transitioning naturally out of napping. It is unclear whether the memory benefits of overnight SWA after a skipped nap depend …

Fpga Security Techniques With Applications To Cloud And Multi-Tenant Use Cases, Xiang Li

Doctoral Dissertations

Field programmable gate arrays (FPGAs) are integrated circuits that consist of programmable logic that a user can configure and deploy for applications such as hardware emulation and accelerating high performance computing. In recent years, the emergence of FPGAs in the cloud has led to research on multi-tenant FPGAs. In a multi-tenant scenario, the same FPGA fabric is shared among multiple users, or among multiple untrusting IP cores. Multi-tenancy has economic benefits, largely due to improvements in resource utilization, but also brings new security concerns since the tenants could behave maliciously. Although the tenants sharing an FPGA are logically isolated from …

Interrelationship Among Students’ Ict Usage, Attitude, And Academic Performance In Nordic Countries: Multilevel Structural Equation Modeling On Pisa 2018 And Timss 2019, Dukjae Lee

Doctoral Dissertations

The usage of digital devices has been an interest in the field of education as one of the useful instructional methods for students’ better learning. Although the usage seemed to be related to their academic performance (e.g., Pekto et al., 2017; Skryabin et al., 2015), it was still unclear if the usage itself directly affected better academic results. Therefore, this dissertation explored an interrelationship between students’ usage of digital devices and academic performance with a mediation effect of their attitude toward using digital devices. The study analyzed the datasets of five Nordic countries collected from PISA 2018 and TIMSS 2019, …

Online Fan Communities: Welcoming Behavior, Brand Community Markers, And Multiple Identities In Sports Fandom, Blaine R. Huber

Doctoral Dissertations

Online fan communities have revolutionized the way sport consumers engage with fellow fans and the sports product. The traditional regional boundaries that once characterized sports fandom have been mitigated by the emergence of new media, social media platforms, and online fan communities. This dissertation explores the non-geographically bound nature of contemporary sports fan communities, examining the evolving dynamics of fan behavior in the digital age. In Study 1, an interactional perspective is employed to explore online fan socialization. The focus is on how new fans' self-presentation influences acceptance within NFL team-specific Reddit communities. Utilizing data mining, textual analysis, and qualitative …

Analysis Of Micro(Nano)Plastics In Food Using Raman Microscopy, Xin Guo

Doctoral Dissertations

Microplastic pollution has emerged as a global concern in both aquatic and terrestrial environments. The presence of microplastics in the food chain poses a potential threat to human health. To accurately assess the risks associated with microplastics, it is crucial to have a reliable analytical technique capable of detecting, quantifying, and identifying microplastics of varying materials, sizes, and shapes in environmental, agricultural, and food samples. Spectroscopic techniques, specifically vibrational spectroscopy (Raman and Infrared), are extensively utilized in microplastic analysis. These techniques enable rapid and high-throughput identification, while also providing size and shape information. However, there are certain gaps in the …

High Resolution Mass Spectrometry As A Platform For The Analysis Of Polyoxometalates, Their Solution Phase Dynamics, And Their Biological Interactions., Daniel T. Favre

Doctoral Dissertations

Polyoxometalates (POMs) are a class of inorganic molecule of increasing interest to the inorganic, bioinorganic and catalytic communities among many others. While their prevalence in research has increased, tools and methodologies for the analysis of their fundamental characteristics still need further development. Decavanadate (V10) specifically has been postulated to have several unique properties that have not been confirmed independently. Mass spectrometry (MS) and its ability to determine the composition of solution phase species by both mass and charge is uniquely well suited to the analysis of POMs. In this work we utilized high-resolution mass spectrometry to characterize V10 in aqueous …

Toltec: A New Multichroic Imaging Polarimeter For The Large Millimeter Telescope, Nat S. Denigris

Doctoral Dissertations

The TolTEC camera is a new millimeter-wave imaging polarimeter designed to fill the focal plane of the 50-m diameter Large Millimeter Telescope (LMT). Combined with the LMT, TolTEC offers high angular resolution (5", 6.3", 9.5") for simultaneous, polarization-sensitive observations in its three wavelength bands: 1.1, 1.4, and 2.0 mm. Additionally, TolTEC is designed to reach groundbreaking mapping speeds in excess of 1 deg²/mJy²/hr, which will enable the completion of deep surveys of large-scale structure, galaxy evolution, and star formation that are currently limited when considering practical observation times for other ground-based observatories. This thesis covers the …

Development Of A Decision Support System Webtool For Historic And Future Low Flow Estimation In The Northeast United States With Applications Of Machine Learning For Advancing Physical And Statistical Methodologies, Andrew F. Delsanto

Doctoral Dissertations

Droughts are a global challenge and anthropogenic climate change is expected to increase the frequency and severity of extreme low flow events. A major challenge for resource managers is how best to incorporate future climate change projections into low flow event estimations, especially in ungaged basins. Using both physically based hydrology models and statistical models, this dissertation contributes novel methodologies to three key challenges associated with 7-day, 10-year low flow (7Q10) estimation in the northeast United States. Chapter 2 builds upon statistically based 7Q10 estimation in ungaged basins by comparing multiple machine learning algorithms to classical statistical methodologies. This chapter’s …