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Interventions To Alleviate Guilt In Family Caregivers Of Patients Receiving Hospice Or End-Of-Life Care: A Scoping Review, Kyla N. Huelle

Honors Undergraduate Theses

This scoping review contains a literature analysis regarding interventions used by health care workers to alleviate guilt in caregivers of patients during end-of-life care. During end-of-life care, many transitions and decisions are made that add to the burden of caregivers. Family caregivers experience many physical, financial, and emotional stressors during the journey of end-of-life care, and this can result in guilt. Feelings of guilt can lead to poorer health outcomes and coping in family caregivers and should be addressed by health providers. In this scoping review, a literature search was conducted using various key terms like "guilt," "hospice," "end-of-life care," …

Nursing Interventions For Families Of Children With Down Syndrome Evaluating Coping Mechanisms And Community Resources, Ashley M. Brophy

Honors Undergraduate Theses

Down syndrome is the most common chromosomal disorder, occurring in 1 out of every 700 births in the United States (Skotko et al., 2009). After receiving the initial Down syndrome diagnosis, the majority of mothers reported feeling frightened and anxious, and very few rated the experience as positive. Parents reported feeling that their physicians focused on the negative aspects of Down syndrome and rarely provided enough resources (Skotko, 2005). The purpose of this literature review was to identify current community resources for families of children with Down syndrome and identify the most effective ways for medical professionals to support parents …

Time Until Subsequent Pregnancy After Intrauterine Fetal Demise And Early Infant Death Based On Grieving Strategies, Gertride Delhomme

Honors Undergraduate Theses

The purpose of this research is to evaluate the coping strategies of families and childbearing women after intrauterine fetal demise and early infant death. The secondary purpose is to examine the effect of grieving strategies after intrauterine fetal demise compared to early infant death on time until subsequent pregnancy in women of childbearing age. A literature review exploring parental grief and coping strategies to cope with loss and its effect on the subsequent pregnancy was conducted from various online databases. All reviewed articles in the analysis indicated that coping strategies consist of a diverse number of mechanisms during the bereavement …

Nursing Interventions To Decrease Depressive And Anxious Symptoms In Hispanic-American Youth, Vanessa C. Hernandez

Honors Undergraduate Theses

Introduction: Hispanic-American youth are less likely to receive mental health services despite being at increased risk for depression and anxiety. Having depression and anxiety at a young age can have detrimental long-term effects such as sexual risk behavior, delinquency, and suicide. Various kinds of nurses interact with this age group which can be a missed opportunity to intervene for the welfare of these youth. Interventions exist for depression and anxiety; however, they are not specific to nurses who care for young Hispanic-American patients. Methods: An integrative literature review was performed to identify nursing interventions for Hispanic American youth with depression …

Overtourism In Dichotomies: Uncovering Dynamic And Non-Dynamic Costs And Benefits In Three Tourism Destinations, Aarash Baktash

Graduate Thesis and Dissertation 2023-2024

The phenomenon of overtourism, characterized by its multifaceted impacts on destinations, has emerged as a major concern in the tourism industry. This dissertation aims to explore the dynamics of overtourism, emphasizing the dual impacts of main-source tourism markets on destinations in terms of their economic, social, and environmental consequences. Unlike existing literature, which focuses primarily on the negative aspects of overtourism, the present study illustrates the nuanced interaction between tourism markets by highlighting both their potential benefits and disadvantages. This study offers an in-depth analysis of cost and benefit factors based on a priori and a posteriori segmentation methodologies, combined …

Role Of Vitamin D, Folate, And Cobalamin Deficiency In Mycobacterium Avium Paratuberculosis Infection And Inflammation, Joseph Vaccaro

Electronic Theses and Dissertations, 2020-2023

Vitamin D, folate, and cobalamin (vitamin B12) are crucial micronutrients in human physiology that are necessary for healthy calcium, phosphorus, and single-carbon metabolism. Recent studies have indicated that these vitamins also affect the inflammatory response in ways unrelated to their well-characterized deficiencies. Accordingly, analysis of their effect on chronic inflammatory diseases like Crohn's disease (CD) is warranted. This investigation examines the effects of vitamin deficiency on macrophages and intestinal epithelial cells upon exposure to Mycobacterium avium paratuberculosis (MAP,) a pathogen capable of triggering CD, to model the inflammatory response in clinical CD patients. ELISA analysis of CD patient plasma established …

Host Cell Responses Modulate Oncolytic Viral Treatment Of Neuroblastoma Cells, Kritika Kedarinath

Electronic Theses and Dissertations, 2020-2023

Neuroblastoma is an aggressive pediatric cancer that is poorly responsive to traditional cancer therapies. Oncolytic viral (OV) vectors such as Zika virus (ZIKV) and Parainfluenza virus type 5 (P/V virus) are promising neuroblastoma therapeutics, but the role of innate immune responses in the effectiveness of OV killing is not well understood. Previous studies showed the neuroblastoma cell line SK-N-AS (expressing low CD24) had low permissivity for ZIKV infection, and this restriction was relieved by ectopic CD24 expression (CD24-high cells). Compared to permissive CD24-high cells, the non-permissive CD24-low cells had elevated basal levels of IRF-1, NF?B and phosphorylated STAT1; these cells …

The Associations Among Racial Discrimination, Perceived Stress And Birth Satisfaction Among Black Women, Amanda De La Serna

Electronic Theses and Dissertations, 2020-2023

The purpose of this dissertation research was to examine the associations among experiences of racial discrimination, perceived stress and birth satisfaction among Black women, and to examine the mediating effect of perceived stress on the association of experiences of racial discrimination with birth satisfaction among Black women. The first manuscript is an integrative literature review which evaluates prior research of the association of stress with birth satisfaction, with consideration to studies that included Black women in their samples. This review revealed a need for further research evaluating stress and birth satisfaction specific to Black women. The second manuscript examines the …

Analysis Of Multi-Drug Resistant Mycobacterium Tuberculosis Using Split Deoxyribozymes, Abryana Fergus

Electronic Theses and Dissertations, 2020-2023

Globally, tuberculosis, a disease caused by the species of Mycobacterium tuberculosis (Mtb) complex, stands as a leading cause of death from a single infectious agent. Even though antituberculous drugs are available, treatment is challenging due to antibiotic resistance associated with point mutations in the bacterial genome. Resistance to the first-line antibiotics – rifampin and isoniazid – results in multidrug-resistant tuberculosis (MDR) requiring a more complicated treatment regimen. Timely and accurate identification of drug-resistant TB cases can help prescribe the most effective treatment and prevent the spread of infection. This research aims to develop an assay to discern multi-drug resistant forms …

A Puerto Rican Diasporic Study In Central Florida, Chelsea Vélez

Electronic Theses and Dissertations, 2020-2023

This study seeks to explicate the intercultural experiences of Puerto Ricans within the diaspora of Central Florida. Specifically, the navigation of communication behaviors among intergroup and outgroup behaviors as Puerto Rican individuals acculturate into the area. This study utilizes communication accommodation theory as its basis to understand integration into a host culture and the impacts on socio-cultural communication behaviors. Findings show the importance of studying diasporic communities as they develop such as that of the Puerto Rican community in Central Florida because it situates the reality of an individual and groups sense of identity in a new cultural context. This …

A Developmental Investigation Of Separation And Analysis Of Molecular Mass 302 Da Polyaromatic Hydrocarbons Using High Performance Liquid Chromatography And Chiral Stationary Phase, James Janesko

Electronic Theses and Dissertations, 2020-2023

High molecular weight – polycyclic aromatic hydrocarbons (HMW-PAH) are often found where air, water, and soil are subject to higher levels of industrial pollutants. These molecules are environmentally concerning due to their carcinogenic, mutagenic, and tumorigenic propensities. Furthermore, the isomers in this family are challenging to separate due to similar retention parameters, spectroscopic fingerprints, and mass spectral patterns. The primary purpose of this dissertation is to expand on the methodology for separation and analysis of the molecular mass 302 Da six-ring isomers using High Performance Liquid Chromatography. Retention behaviors of 21 commercially available isomers in synthetic mixture were collected via …

Defining Sober Harms And Factors That Influence Them: Blame It On The Alcohol?, Jessica Flori

Electronic Theses and Dissertations, 2020-2023

Reductions in alcohol use have often led to smaller reductions in harms than expected, and this may result from inadequate measurement of alcohol-related consequences. Harms questionnaires typically include consequences that can occur in the absence of alcohol use leading to an over attribution of certain harms to drinking (e.g., an individual might endorse engaging in risky behavior while drinking and while sober). The purpose of this study was to examine limitations of harms assessment by collecting data on frequency of harms while drinking and while sober, and to identify potential determinants of harms unrelated to alcohol use. College student participants …

Dormant Propagules In Demographic Studies: A Recurrent Bias And Potential Solutions, Federico Borghesi

Graduate Thesis and Dissertation 2023-2024

In the face of unprecedented anthropogenic change, we increasingly turn to emergent technologies and extensive data sets for solutions that complement much needed systemic changes in our societies. These technological solutions, however, must be approached with care. We must recognize and address biases in the way data has been accumulated. In demographic studies, dormant life stages, such as seed banks, and other cryptic factors have often been neglected. The potential consequences of these omissions have been extensively described in the literature. In the first chapter, I analyze patterns of seed bank omissions in demographic models, finding unjustified omissions are widespread …

The Dynamical Measurement And Modeling Of Metacognition And Engagement Using Self-Report And Multimodal Data With Advanced Learning Technologies, Megan Wiedbusch

Electronic Theses and Dissertations, 2020-2023

Interdisciplinary research has demonstrated that learning and problem solving with advanced learning technologies (ALTs) such as intelligent tutoring systems, simulations, hypermedia, serious games, and virtual reality can promote and foster the development of 21st century skills (e.g., collaboration, problem solving, self-regulated learning) by measuring and using the interactions between cognitive, affective, metacognitive, motivational, and social (CAMMS) processes. Interdisciplinary researchers focused on self-regulated learning (SRL) have developed several theoretical models which model students' CAMMS processes and their learning behaviors. However, when empirically testing these models, researchers face complicated methodological decisions around modeling, measuring, processing, and analyzing student data. Many of these …

A Theoretical Study Of Elementary Processes In Interstellar Plasma, Joshua Forer

Graduate Thesis and Dissertation 2023-2024

Interstellar plasma — interstellar clouds in particular — play an important role in determining the structure and evolution of galaxies. Understanding the time evolution of such plasmas requires knowledge of the chemical processes that drive their dynamics. Two processes are studied in this dissertation: radiative electron attachment (REA) via dipole-bound states (DBSs) and dissociative recombination (DR). Of the several hundred molecules detected in the interstellar medium, only eight anions have been detected: CN-, C3N-, C5N-, C7N-, C4H-, C6H-, C8H-, and C10H-. Their production mechanism is not well known; REA was suggested as a possible formation pathway, but previous theoretical studies …

Algorithms And Variations On The Positional Burrows-Wheeler Transform And Their Applications, Ahsan Sanaullah

Electronic Theses and Dissertations, 2020-2023

In this dissertation, we develop algorithms and variations on the Positional Burrows-Wheeler Transform (PBWT). The PBWT is a data structure that stores M binary strings of length N while allowing efficient search. We develop the dynamic-PBWT (d-PBWT). The d-PBWT is a variation of the PBWT that allows its relevant algorithms to run with unchanged time complexity, but also allows efficient insertion and deletion of haplotypes. We provide insertion and deletion algorithms on the PBWT with average case O(N) time complexity. We also improve upon the query algorithms for the PBWT. Durbin described a set maximal match query algorithm on the …

Spatial Ensemble Distillation Learning Based Real-Time Crash Prediction And Management Framework, Md Rakibul Islam

Graduate Thesis and Dissertation 2023-2024

Real-time crash prediction is a complex task, since there is no existing framework to predict crash likelihood, types, and severity together along with a real-time traffic management strategy. Developing such a framework presents various challenges, including not independent and identically distributed data, imbalanced data, large model size, high computational cost, missing data, sensitivity vs. false alarm rate (FAR) trade-offs, estimation of traffic restoration time after crash occurrence, and real-world deployment strategy. A novel spatial ensemble distillation learning modeling technique is proposed to address these challenges. First, large-scale real-time data were used to develop a crash likelihood prediction model. Second, the …

Acausal Modeling Of Wind Turbines With Validation And Control Studies, Kazi Ishtiak Mohsin

Graduate Thesis and Dissertation 2023-2024

This thesis involves the modeling, validation, and control studies of a Control-Oriented, Reconfigurable, and Acausal Floating Turbine Simulator (CRAFTS), that is currently under development. CRAFTS uses Modelica®, an object-oriented, declarative, multi-domain modeling language for physical system modeling in the Dymola environment. The CRAFTS simulator facilitates rapid dynamic simulation of wind turbines with various model variants and enables control co-design.

A major emphasis of this thesis is in the validation of the CRAFTS simulator for a 15-MW land-based wind turbine through several test cases. These test cases were collaboratively developed in conjunction with other participating research entities. CRAFTS has undergone rigorous …

Reconstructing 3d Humans From Visual Data, Ce Zheng

Graduate Thesis and Dissertation 2023-2024

Understanding humans in visual content is fundamental for numerous computer vision applications. Extensive research has been conducted in the field of human pose estimation (HPE) to accurately locate joints and construct body representations from images and videos. Expanding on HPE, human mesh recovery (HMR) addresses the more complex task of estimating the 3D pose and shape of the entire human body. HPE and HMR have gained significant attention due to their applications in areas such as digital human avatar modeling, AI coaching, and virtual reality [135]. However, HPE and HMR come with notable challenges, including intricate body articulation, occlusion, depth …

Safety Considerations For Setting Variable Speed Limits On Freeways, Md Tarek Hasan

Graduate Thesis and Dissertation 2023-2024

This thesis focuses on evaluating the appropriate speed at which vehicles should travel under different traffic conditions on freeways and its impact on crash frequency. The common belief is that the lower speed results in fewer crashes as reduced speed provides drivers with more time to react effectively and avoid collisions. However, this perspective overlooks the interplay among traffic speed, average spacing between consecutive vehicles, and the distance available for stopping a vehicle. Hence, we propose a safety parameter termed ‘Safety Correlate' (SCORE), which is defined as the proportion of average spacing relative to the stopping distance. To determine the …

Understanding Workforce Agility At Nasa Kennedy Space Center, Ledlyne H. Vazquez

Graduate Thesis and Dissertation 2023-2024

This study aims to define workforce agility via a literature review and a conducted research survey of the Kennedy Space Center (KSC) Engineering workforce. The survey results will help us determine the workforce agility of the KSC engineering team and understand what has allowed them to transition from the Space Shuttle Program to the new Exploration Ground System (EGS) program. Structural Equation Modeling was used to develop a model of relationships to test the hypotheses. The results show that organizational practices and psychological empowerment significantly support workforce agility. The implications of this study for understanding the characteristics of workforce agility …

Cost, Outcomes, Usage, And Perceptions (Coup) Framework, Open Education Group

Libraries' Documents

No abstract provided.

Process Optimization And Characterization Of P-Type Copper Indium Oxide And Copper Chromium Oxide Transparent Conducting Thin Films And Its Applications, Fnu Sreeram Sundaresh

Electronic Theses and Dissertations, 2020-2023

Transparent conducting oxides (TCO) are a unique class of compounds that combine the properties of being optically transparent but at the same time are electrically conductive. TCOs are used in a variety of applications such as transparent contacts for solar cells, electrochromic windows, low-e windows, optoelectronic devices, light-emitting diodes, optical displays, UV sensors, defrosting windows, etc. By controlling doping and by adjusting the donor/acceptor levels, the conductivity of TCOs can be tuned from insulating via semiconducting to conducting. Various properties of TCOs such as optical transparency, bandgap, and electrical conductivity can be controlled using the aforementioned process. This concept paved …

Social Media-Based Crisis Communication: Analysis Of Twitter Data From Local Agencies During Hurricane Irma, Naiyara Noor

Electronic Theses and Dissertations, 2020-2023

As social media platforms have become vital means of communications, it has become imperative for emergency managers and policy makers to understand how people are interacting with different agencies on these platforms for enhancing community response coordination during disasters. Although many public agencies have already adopted social media platforms for crisis communication purposes, empirical evidence on whether and how these agencies are effectively engaged on these platforms is lacking. This research aims to examine crisis communication activities of a variety of agencies on Twitter in response to Hurricane Irma in 2017. In this study, we analyzed 13,353 hurricane-related tweets posted …

Improving Deep Neural Network Training With Knowledge Distillation, Dongdong Wang

Electronic Theses and Dissertations, 2020-2023

Knowledge distillation, as a popular compression technique, has been widely used to reduce deep neural network (DNN) size for a variety of applications. However, in recent years, some research had found its potential for improving deep neural network performance. This dissertation focuses on further exploring its power to facilitate accurate and reliable DNN training. First, I explored data-efficient method for blackbox knowledge distillation where the specifics of the DNN for distillation is inaccessible. I integrated active learning and mixup to obtain significant distillation performance gain with limited data. This work reveals the competence of knowledge distillation to facilitate large foundation …

Methodologies For Evaluating Interaction Cues For Virtual Reality, Xinyu Hu

Electronic Theses and Dissertations, 2020-2023

Virtual reality (VR) games and educational systems commonly employ interaction cues to provide information on how to take appropriate actions at particular moments. Interaction cues can be employed for different purposes, such as informing the user to look, go, pick, and operate. Additionally, different types of interaction cues can directly affect usability and user experiences. In our early research, we conducted two ecologically valid empirical studies with a preexisting VR training application and evaluated the effects of delayed interaction cues, in addition to comparing the purposes of interaction cues for learning and retention. Our results indicated that immediate interaction cues …

Towards Optimization And Robustification Of Data-Driven Models, Ehsan Kazemi Foroushani

Electronic Theses and Dissertations, 2020-2023

In the past two decades, data-driven models have experienced a renaissance, with notable success achieved through the use of models such as deep neural networks (DNNs) in various applications. However, complete reliance on intelligent machine learning systems is still a distant dream. Nevertheless, the initial success of data-driven approaches presents a promising path for building trustworthy data-oriented models. This thesis aims to take a few steps toward improving the performance of existing data-driven frameworks in both the training and testing phases. Specifically, we focus on several key questions: 1) How to efficiently design optimization methods for learning algorithms that can …

From Human Behavior To Machine Behavior, Zerong Xi

Electronic Theses and Dissertations, 2020-2023

A core pursuit of artificial intelligence is the comprehension of human behavior. Imbuing intelligent agents with a good human behavior model can help them understand how to behave intelligently and interactively in complex situations. Due to the increase in data availability and computational resources, the development of machine learning algorithms for duplicating human cognitive abilities has made rapid progress. To solve difficult scenarios, learning-based methods must search for solutions in a predefined but large space. Along with implementing a smart exploration strategy, the right representation for a task can help narrow the search process during learning. This dissertation tackles three …

Characterizing Air Plasma Sprayed Aluminum Oxide Coatings For The Protection Of Structures In Lunar Environments, Perla Latorre Suarez

Electronic Theses and Dissertations, 2020-2023

Wear-resistant ceramic and ceramic composite coatings are significant to provide durability and support long-duration missions to the moon's surface for rovers, landers, robotic systems, habitats, and many other components. On the Lunar surface, structural components are continuously exposed to lunar dust projectiles that can cause protective coating delamination around the affected area, of protective coatings and this may not be physically visible. Ceramic coatings, composed of alumina, present excellent resistance to different types of wear due to their high strength and hardness as well as the ability to protect structural components from regolith impacts, wear, and abrasive damage. Air Plasma …

Effect Of Autoclave Process Parameters On Mechanical Behaviors Of Carbon Fiber Reinforced Polymer Composites Fabricated Via Additive Manufacturing, Quang Hao Nguyen

Honors Undergraduate Theses

Additively manufactured carbon fiber reinforced polymers (CFRP) are vastly studied for their remarkable mechanical properties compared to most other 3D printed materials. Different methods were employed to further increase mechanical performance of CFRP 3D printed parts. The objective of the study is to investigate the effect of autoclave postprocessing on the interlaminar shear behavior between 3D printed CFRP layers. 3D printed CFRP samples were processed with nine combinations of temperature and vacuum in an autoclave. Short beam shear (SBS) tests were performed to characterize the interlaminar shear strength (ILSS) of the samples after autoclave processing. Digital image correlation (DIC) was …