Digital Commons Network^™

Evaluating Registered Dietitians Nutritionists' (Rdn) Knowledge, Attitudes, Behaviors And Practices Of Social Media Best Practices And The Role Of The Rdn Social Media Influencer, Ciera Burback

Theses and Dissertations

The growing use of social media has expanded the potential for RDNs to work with brands to promote products, as other health professionals have done for many years. However, scrutiny of the profession of nutrition and dietetics brought RDN influencers under fire due to disclosure practices and the perception of conflicts of interest in the social media sphere. This survey examined the knowledge, attitudes and behaviors of current RDNs and social media best practices. With 163 respondents over the age of 18 and currently an RDN, part one of the survey included demographic questions, multiple choice and Likert scale questions …

Analyzing The Effectiveness Of Maritime Policy For The Management Of Increasing Rates Of Vessel Traffic In The Bering Strait, Izabella Block

Theses and Dissertations

The Arctic is changing at a rapid pace, affecting virtually every aspect of life in the region, with major changes to sea ice, permafrost, and traditional lifestyles. These changes, in conjunction with globalization, have led to a rise in interest in the Arctic and accessing its resources. One considerable facet of accessing the Arctic is via maritime activity, with shorter transport times between Asia and Europe, fishing valuable stocks, and access to offshore oil and gas deposits. As countries such as Russia and China are intent on developing the Arctic and commercializing maritime trade routes, many living in the region …

Cross-Dataset Fairness Evaluation Of Transformer-Based Sentiment Models, Sara Zuiran

Theses and Dissertations

With the growing exploration of Natural Language Processing (NLP) systems in decision-making environments, it is essential to evaluate technical and ethical aspects of the dataset and the NLP model to improve fairness. To assess fairness, the thesis examines demographic imbalances in sentiment classification models by evaluating transformer-based models fine-tuned on the Stanford Sentiment Treebank version 2 dataset (SST-2) against the demographically annotated Comprehensive Assessment of Language Model dataset (CALM). This work identifies performance disparities in sentiment prediction across demographic groups by examining sensitive attributes such as gender and race. The study evaluates both the RoBERTa and MentalBERT transformer models using …

Bridging The Gap: Enhancing Devops Security Through Comprehensive Threat Modeling, Ashutosh Jagdish Sonar

Theses and Dissertations

Today, security is an essential component of software development, especially in DevOps environments where rapid and continuous product release cycles are common. Systems are vulnerable to new attacks because traditional security approaches often cannot keep up with the pace of change. The threat modeling approaches used in DevOps are examined in this thesis, along with their advantages, disadvantages, and suitability for use in current software development processes. Well-known frameworks including STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service (DoS), and Elevation of Privilege), Attack Trees, LINDDUN (Linking, Identifying, Non-Repudiation, Detecting, Data Disclosure, Unawareness, and Non-Compliance.), Practical Threat Analysis (PTA), …

Development Of A 3-Dof Contactless Magnetic Joint Actuator, Elle Whitney

Theses and Dissertations

The magnetic joint actuator is a relatively recent research technology that expands on the brushless DC motor to encompass rotation in three degrees-of-freedom. These actuators involve a stator with a series of electromagnetic coils oriented normal to a spherical permanent magnet rotor which can be controlled by modulating the current of the stator coils. The development of a magnetic joint actuator that operates without a physical connection between the stator and the rotor has wide applications for robotics in dust-sensitive environments, where a device with bearings would otherwise falter. This work details the design, sensing, and control of such a …

Early Breast Cancer Detection With Ultrasound Data Using Nmf, Rutvi Khamar

Theses and Dissertations

Early detection of breast cancer significantly influences patient outcomes. Dynamic Contrast-Enhanced Ultrasound (DCE-US) has shown promise in early detection by visualizing tumor vascularity and perfusion dynamics in real-time. This study evaluates the efficacy of DCE-US in distinguishing four stages of cancer progression: normal, hyperplasia, ductal carcinoma in situ (DCIS), and invasive cancer, using a transgenic mouse model that mimics human breast cancer. Ultrasound burst pulses, while commonly used to remove unbound contrast agents, can potentially damage human tissues. Using the pre-pulse data helps mitigate this risk, ensuring safer and more reliable measurements. A VEGFR2-targeted microbubble contrast agent was injected, and …

Improving Home Security Through User Centered Device Positioning, Lalith Nadipalli

Theses and Dissertations

In today’s world, where technology is advancing rapidly and security threats are becoming more complex, the need for effective home safety measures is more critical than ever. Homeowners are increasingly turning to a variety of smart devices, such as smoke detectors, carbon monoxide detectors, and security cameras, to protect their living spaces against potential dangers like burglary, fire, and environmental hazards. These devices offer essential protection, acting as both early warning systems and visual surveillance tools. However, their effectiveness largely hinges on how well they are placed within the home. Proper placement of these safety devices ensures that they provide …

The Relationship Between Weather Variablity And Agricultural Land Cover Change In North Dakota (1997-2023) And Its Implication For Future Change, Sabrina Karim

Theses and Dissertations

Climate variability and weather patterns play a critical role in shaping agricultural land use and land cover (LULC), particularly in states like North Dakota, where agriculture dominates the landscape. This study explores the impacts of climatic factors—specifically rainfall, temperature, and Growing Degree Days (GDD)—on agricultural land cover (ALC) changes in North Dakota from 1997 to 2023, with projections for 2033. By combining historical analysis and predictive modeling, the research examines how climate variability has influenced crop dynamics and provides insights into future scenarios. The research uses advanced geospatial tools, including Google Earth Engine, and machine learning techniques such as Random …

C-Band Air To Ground Communication System For Uav, Mubark Alghamdi

Theses and Dissertations

C band spectrum 5030-5091 MHz is allocated for command-and-control communication services with unmanned aircraft systems. This document evaluates the possibility of using 3GPP 5G standards for provisioning of such services. Channelization of the spectrum and major system parameters are proposed. The performance of the proposed system in channel fading environment is evaluated using MATLAB based simulations. The evaluations examine SINR, and average throughput of the proposed system at different altitudes of the unmanned aircraft system. MATLAB simulations are used to evaluate system performance in free-space environments. Signal-to-Interference-plus-Noise Ratio (SINR) and Reference Signal Received Power (RSRP) are predicted at different UAS …

The Impact Of System Transparency On Perceived System Reliability, Perceived System Usability, And Information Clarity In Self-Driving Car Systems, Uditkumar Nair

Theses and Dissertations

In human-computer interaction (HCI), the development of autonomous vehicle (AV) technology has created new difficulties, especially in building user confidence as well as understanding of system functioning. The effect of system transparency on user- centered outcomes, such as perceived usability, perceived system reliability, and information clarity, is examined in this thesis. In order to evaluate their experiences in both ordinary and high-stakes driving situations, participants engaged with both system- transparent user interfaces (TUIs) and non-transparent user interfaces (NTUIs) across a number of experimental scenarios. In order to assess how well each interface conveyed system logic and actions, the study included …

Quantification Of Blue Carbon Within The Marine Animal Forest On The Rio Grande Valley Artificial Reef, Michelle Kathryn King

Theses and Dissertations

The protection and enhancement of coastal ecosystems provides a number of benefits such as heightened biodiversity, increased fisheries, and enhanced carbon capture (Yeemin et al., 2024). The study of blue carbon ecosystems has expanded rapidly in the last two decades since the term was coined in 2009 (Lovelock & Duarte, 2019). The most well-known blue carbon ecosystems include vegetation-dominated ecosystems such as seagrass meadows, salt marshes, and mangrove forests (Howard et. al., 2014). Prior studies have overlooked Marine Animal Forests (MAF) ability to capture carbon, until recent studies on soft coral (Coppari et al., 2019) and sponge (Rix et al., …

Finished!: How Newcomer Students Leveraged Family, Culture And Community To Complete A University Degree, Brenda Eliana Bocanegra

Theses and Dissertations

The transition from high school to college represents a pivotal time in the life of a student. For Latino/a students, this transition may be met with unique challenges shaped by their cultural, socioeconomic and educational backgrounds. This research aims to delve into the multifaceted experiences of newcomer Latino/a students as they navigate the transition from, high school to university, to educators, exploring the factors that influence their paths, the barriers they encounter, and the support systems that helped facilitate their success.

This research used Yosso’s (2005) community cultural wealth as the framework to examine the factors that influenced and impacted …

How Do Women Deal With Beauty Standards?, Mandy Lashay Wilson

Theses and Dissertations

This thesis explores the profound impact of beauty standards on women’s lives, focusing on how unrealistic ideals influence their emotional and physical well-being. Through a series of figurative oil paintings, this work examines women’s actions to conform to and reject these standards. It also explores the consequences of striving to meet or falling short of these ideals, such as emotional turmoil, physical pain, potential social exclusion, as well as the comparison, and competitive beauty culture. This research analyzes the motivations behind striving for beauty standards, such as pursuing attention, success, and validation. Drawing from contemporary literature and visual analysis of …

Breast Cancer Survivors’ Readiness-To-Work Perceptions: A Pilot Study, Joy Darlene Cain

Theses and Dissertations

This pilot study explored the perceptions of women who have been diagnosed with breast cancer and struggles they experienced when returning to work or maintaining employment. It sought to understand the impact of cancer treatment on work demands and how or if that impacted the survivor’s perception of her employment status. This study found significant differences in the RTW perceptions for women with breast cancer in the areas of marital status, physical effort, work strategies, and work-related help. The most significant difference were the differences between women with partners and women without partners. Surprisingly, women without partners, while they do …

Joint Modelling Of Longitudinal Egfr Trajectory And Time To Acute Kidney Injury In Lung Transplant Patients, Samiha Zakir

Theses and Dissertations

Progressive declines in estimated glomerular filtration rate (eGFR) often precede acute kidney injury (AKI), yet the relationship between eGFR trends and AKI risk remains unclear. This study investigates longitudinal eGFR changes and their association with AKI in 459 lung transplant patients followed for up to 7 years (n = 6419). We applied a piecewise linear mixed-effects model to evaluate eGFR trajectories and a Cox proportional hazards model to assess time to AKI. A joint model was used to explore the interplay between longitudinal and survival processes. Key covariates included gender, age at transplantation, antibody-mediated rejection (AMR), and pre-transplant eGFR. Males …

Lauryn C. Salazar: A Life History Of Mariachi Leadership, Berta Alicia Guerra

Theses and Dissertations

The purpose of this qualitative study was to analyze Lauryn C. Salazar’s mariachi/educational leadership style by focusing on her contributions to the community of Texas Tech University and Tarleton State University. Leadership styles, as defined by Northouse, 2021, refer to the distinct approaches leaders use to guide, motivate, and influence their teams. After examining Salazar’s background to place her motivations and actions in the proper context, this study analyzed what Salazar did, how she perceived her actions, and how others perceived her actions. The life history written by the researcher was primarily based on data collected through eight interviews; however, …

Mixed-Mode Fracture Analysis Of Additively Manufactured Periodic Orthotropic Functionally Graded Microcellular Materials, Behnam Shahbazian

Theses and Dissertations

The quest for safety, efficiency, and innovation in aerospace engineering demands a relentless focus on understanding how materials and structures behave under extreme and complicated loading conditions. Among the many challenges faced by engineers in this field, predicting and preventing structural failure stands out as both a fundamental necessity and a complex problem. Fracture mechanics, the science of how materials fail under stress, is a cornerstone of this effort. Whether it is the fuselage of an aircraft enduring cyclic loading or the lightweight components of a spacecraft resisting impact, the ability to accurately predict fracture behavior directly influences the reliability …

Patterns Of Fire History And Vegetation Changes In The Last 5000 Years: A Paleoecological Study Of Iquitos, Annabel Zwarts

Theses and Dissertations

The vegetation of the Amazonian rainforest is hypothesized to have been shaped by pre-Columbian activities, such as burning and palm management to various extents. Management of palms is hypothesized to have caused some of the most useful species to become hyperdominant in Amazonia. This study investigated the extent to which human activities over the past 5000 years affected palm abundances in mature lowland rainforests near Iquitos, Peru. I used phytoliths and charcoal from soil cores to determine the history of local floras, and modern palm surveys to compare modern phytolith occurrence with modern vegetation. Because pre-Columbian activity clustered along the …

Effects Of Reflective Journaling And Nudges On Academic Motivation And Engagement, Lakshmi Satya Sai Veda Mahita Uppuluri

Theses and Dissertations

This study investigates the effects of reflective journaling and motivational nudges on academic motivation and engagement among college students. Grounded in Self- Determination Theory (SDT), the research examines how different interventions influence intrinsic motivation, and academic behaviors such as class attendance, participation, and preparation. The study employed a between-group experimental design with three conditions: a control group, a journaling group, and a journaling group that also received daily motivational nudges. Results showed that students in the journaling groups—particularly those who received nudges—experienced a significant increase in academic motivation. While changes in academic engagement were not significant, the effect size suggested …

Autonomous Defect Detection In Additive Manufacturing, John Samuel Poindexter Iv

Theses and Dissertations

Additive manufacturing (AM) is the process of creating a product by applying layers of material to build up to the final product. AM has revolutionized the field of manufacturing and has allowed more complex products to be manufactured at reasonable cost, quicker manufacturing time, and optimized material usage. Traditional forms of manufacturing were based on subtractive manufacturing, where by a product would be created by removing material from its source. AM is a new manufacturing process and faces significant challenges when it comes to manufacturing due to defects. Defects can vary from type and severity and can overall weaken or …

Expressive And Interpretable User Engagement Prediction Using Multivariate Survival Processes, Akshay Aravamudan

Theses and Dissertations

The ability to characterize how information diffuses online is of paramount importance to stakeholders that are interested in tasks such as proposing solutions for mitigating and countering dis/misinformation, predicting user engagement of content in social media, planning marketing campaigns to roll-out products and planning dissemination of political campaign messaging among others. One such facet of learning the dynamics of information diffusion is the ability to predict user engagement or the popularity of a single piece of information as it spreads through an online medium. Existing works in this regard mainly either obfuscate user level information or utilize frameworks that are …

Use Of Pushed-In Pencel Pressuremeter Test For Shallow Foundation Design In Florida Fine Sands, Brhane Weldeanenya Ygzaw

Theses and Dissertations

A comprehensive evaluation was conducted on the performance, consistency, and practical application of various in-situ geotechnical testing methods for predicting the settlement and bearing capacity of shallow foundations in Florida’s fine sands. The methods assessed include the Standard Penetration Test (SPT), Cone Penetration Test (CPT), Dilatometer Test (DMT), pushed-in PENCEL Pressuremeter Test (PPMT), and the pre-bored TEXAM Pressuremeter Test. A dual approach controlled indoor testing at the FDOT State Materials Office (SMO) and field investigations at three representative sites (Kingsley, Trenton, and the UCF research site), formed the experimental foundation.

Over thirty settlement prediction techniques and thirteen bearing capacity estimation …

Trends In And Factors Associated With Science Achievement Among Fourth Graders In Saudi Arabia: A Secondary Analysis Of Timss Data, Reda Massawe

Theses and Dissertations

This secondary analysis examined trends and factors associated with science achievement among fourth-grade students in Saudi Arabia using data from the Trends in International Mathematics and Science Study (TIMSS). Between 2007 and 2019, Saudi students consistently scored below the international average in science, with female students outperforming males by more than 30 points. The study addressed two issues: (1) reasons behind Saudi students’ underperformance and (2) limited research on contributing factors. TIMSS data from 2011, 2015, and 2019 were analyzed using descriptive, correlational, and regression methods. While trends across the years were explored, only 2019 data were used for detailed …

Matrix Training Of Verb Tenses With Autistic Children, Alexandra Lynn Ewald

Theses and Dissertations

The purpose of this study was to extend the research on matrix training by evaluating its efficacy for producing recombinative generalization of regular verb tense endings. Three autistic children were shown videos of people known to the participants acting out behaviors associated with an action about to take place, currently taking place, or that took place. The targets (actors, actions, and verb tenses) were arranged in a matrix, and the targets appearing along the diagonal of the matrix were directly trained, while the remaining targets were probed to determine if the participant was able to emit correct responses without any …

Exploring The Roles Of Registered Dietitian Nutritionists In Food Service Management Practice Settings And The Established Guidelines That Aid In Assessing Competency, Angelique Lim

Theses and Dissertations

Background: Registered dietitian nutritionists (RDNs) are highly qualified professionals to manage food service operations, yet only 3% of RDNs work in food service management. Objective: The objective of this research is to determine what established guidelines, training, certifications, and advanced degrees RDNs working in management of food and nutrition systems (MFNS) use to develop their level of expertise. Methods: RDNs who are members of the Academy of Nutrition and Dietetics Management of Food and Nutrition Systems Dietetic Practice Group were invited to participate in a survey to assess characteristics of current RDNs working in MFNS, and to determine resources, training …

Advancing Precision And Autonomy In Agriculture And Medical Imaging Through Ai And Computer Visions, Tan-Hanh Pham

Theses and Dissertations

Deep learning has revolutionized numerous fields by enhancing precision, automation, and decision-making capabilities. This dissertation explores its applications in agriculture and medical image processing, introducing novel methodologies to improve accuracy and efficiency in these domains. These fields hold critical societal importance -- agriculture underpins global food security and sustainability, while medical imaging drives advancements in diagnostics and personalized healthcare, both benefiting significantly from data-driven innovations. In agriculture, deep learning is applied to precision spray systems through droplet analysis. Specifically, a generative model is designed to create synthetic droplet images, addressing the challenge of limited training samples, which are expensive …

Developing A Small Molecule To Inhibit Hsf1 Expression In Cancer And Evaluating Natural Genetic Variation In Small Molecule Toxicity., Michaela Kendal Foley

Theses and Dissertations

Each year cancer affects nearly 20 million people worldwide and genetic differences across populations can impact cancer onset and progression. Specifically, tumors with high levels of HSF1, the master regulator of the cytoprotective heat shock response (HSR), are correlated with poor patient outcomes in multiple cancers such as prostate, breast, and melanoma. Subsequently, the development of pharmacological inhibitors of HSF1 represents a promising strategy for anticancer therapeutics. Using a luciferase-based transcriptional reporter, two small molecule libraries were screened for inhibitors of HSF1 expression in human embryonic kidney cells, yielding ten compounds that decrease HSF1 expression. To identify if cancer lines …

Cover Crop-Induced Improvements To Soil Hydraulic Properties And The Role Of Termination Time In Mitigating Negative Soil Moisture Impacts, Fabrizio Javier Pilco

Theses and Dissertations

In the Lower Rio Grande Valley of South Texas, water scarcity and drought pose ongoing challenges for farmers. Although cover crops are promoted for improving soil health and moisture, their effects on soil hydraulic properties in this region remain understudied. This thesis addresses both long-term (Chapter 2) and short-term (Chapter 3) impacts of cover crops on soil hydraulic properties and soil moisture. Long-term effects were evaluated through a three-year participatory field trial across four farms using a BACI design, while short terms were evaluated using a complete randomized block design. Soil hydraulic properties (residual water content θr, saturated water content …

The Effect Of Hiv-1 Infection Associated Bacterial Lipopolysaccharide (Lps) On Human Oral Keratinocytes: Implications For Promoting Chronic Inflammation, Md Shafayat Jamil

Theses and Dissertations

Human immunodeficiency virus type 1 (HIV-1) remains a major global health concern, affecting approximately 39 million people worldwide, with 500,000 new infections reported in 2022. While combined antiretroviral therapy (cART) has significantly reduced viral replication, HIV-1 infection is linked to various comorbidities, including oral dysbiosis and accelerated aging. Immune dysregulation in HIV-1–infected individuals promotes the proliferation of pathogenic gram-negative bacteria like Porphyromonas gingivalis, a key contributor to periodontal disease. P. gingivalis secretes lipopolysaccharide (LPS), which adversely affects human oral keratinocytes (HOK), the first line of defense against microbial threats in the oral cavity. HOK recognize LPS as a threat, …

Drug-Target Binding Affinity Prediction With Graph-Based Models: The Impact Of 3d Structural Information, Angel Antonio Peredo

Theses and Dissertations

Drug–target affinity (DTA) prediction is a critical step in accelerating drug discovery and reducing its associated costs. Existing computational approaches often employ one-dimensional protein sequences or two-dimensional molecular graphs, which can overlook important three-dimensional (3D) structural features. The present study investigates whether incorporating 3D information of both proteins and ligands can yield more meaningful representations for binding affinity prediction. Specifically, Graph Transformers (GT) are utilized, and the integration of Equivariant Graph Neural Networks (EGNN) is explored to preserve and leverage spatial information during learning.

Using the CrossDocked2020 dataset, which provides protein structures in Protein Data Bank (PDB) format, proteins and …