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Soteriological Perspectives In The Seventh-Day Adventist Church From 1930 To 2000, Jungkyu Park

Dissertations

The Topic

The soteriology of the Seventh-day Adventist Church, originally shaped in the mid-nineteenth century around the preparation for the imminent Second Coming, has undergone gradual development over time. By the mid-twentieth century, various perspectives emerged due to the continuation of traditional teachings from the late nineteenth century and challenges from external theological influences. In particular, throughout the debate over Last Generation Theology, each theologian defined and interpreted “righteousness by faith” according to their own theological background and historical context. The resulting tensions and conflicts continue to persist to this day.

The Purpose

This study aims to describe and examine …

In-Person Versus Peer-Coordinated Virtual Health Coaching For Metabolic And Behavioral Outcomes In Women In Sober Living Facilities, Craig R. Witt

Dissertations

Background: Women in early recovery from substance use disorder often face metabolic health vulnerabilities, yet physical health behaviors are frequently under-emphasized in sober living settings. Feasible and accessible wellness strategies are needed to support both behavioral and metabolic health in this population.

Purpose: To compare the effects of professionally delivered in-person health coaching versus peer-coordinated virtual health coaching on metabolic outcomes and health-promoting behaviors among women in sober living facilities.

Methods: In this quasi-experimental study, 32 women enrolled in a 12-week group-based health coaching program focused on nutrition, physical activity, and stress management; 18 completed post-intervention assessments (in-person: n = …

Protein Ingestion And High-Intensity Resistance Training Decrease Respiratory Exchange Ratio Following Exercise In Females Across Various Body Compositions., Lynnsey Bowling

Dissertations

Metabolic dysfunction is associated with excess adipose tissue and interventions to elicit improvements to body composition could combat these health consequences. Acute nutritional and exercise strategies have the potential to shift metabolic processes toward those favoring fat oxidation. The purpose of this study was to investigate the effects of high-intensity resistance training (HIRT) and pre-exercise protein (PRO) ingestion on post-exercise respiratory exchange ratio (RER) in lean (LN) and overweight (OW) females. Twenty recreationally-active females (LN: n =10; OW: n = 10) completed two experimental sessions, consisting of HIRT and two acute nutritional interventions: PRO and placebo (PLA). RER was analyzed …

The Impact Of University Engagement On Psychosocial Factors Among Division I Female Student-Athletes, Ashley A. Cook

Dissertations

Background: Female student-athletes navigate unique psychosocial challenges balancing academics and athletics, yet limited research has explored the impact of university engagement on their social and emotional well-being. This study examines the impact of university engagement on sense of social fit (SSF), nonspecific psychological distress (NPD), and loneliness among Division I female student-athletes.

Method: A cross-sectional survey was conducted among female student-athletes (n = 111) from eight sports at a mid-sized NCAA Division I university in the Southern U.S. Participants completed validated measures using the SSF scale, UCLA Loneliness scale, and Kessler-6 Psychological Distress scale. An exploratory factor analysis was performed …

Menstrual Cycle Phase Exerts No Influence On Running Economy Parameters In Recreational Female Runners, Savanna K. Knight

Dissertations

Hormonal fluctuations that occur throughout the menstrual cycle (MC) have been shown to affect substrate utilization and oxygen uptake when running. These MC induced changes could manifest as altered running economy (RE) when expressed as energy cost (Ec) and oxygen cost (O2c). Therefore, the current study aimed to determine if RE differs between MC phases, the early follicular phase (E-FP) and the mid-luteal phase (M-LP). Twelve eumenorrheic female recreational runners (ages 25 ± 4y; VO2peak 40.9±4.6 ml/kg/min) completed submaximal RE bouts (60%, 70%, 80% of VO2peak) during the E-FP and M-LP. During each bout, oxygen consumption (VO2), respiratory exchange ratio …

Self-Awareness And Self-Efficacy In The Novice Professional Phase Of Marriage And Family Therapists After Person Of The Therapist Training, A Comparative Survey, Rubio Betsabé

Dissertations

The study focuses on examining the influence of person-of-the-therapist or self-of-the-therapist training on therapists’ self-reports of self-awareness (as a conscious awareness of one’s internal states and interactions with others) and self-efficacy (perceived beliefs in personal capabilities to perform in ways that give control over events that affect their lives) at the novice professional stage of their career. The study will examine the experiences reported by mental health providers actively providing clinical care by utilizing a survey design focusing on person of the therapist connecting through alumni lists and online solicitation. This research adds to the current literature by using a …

What Works In Telehealth Play Therapy? An Appreciative Heuristic Inquiry, Veronica Ann Ball

Dissertations

With the onset of coronavirus disease 2019 (COVID-19) in the United States in March 2020 (World Health Organization, 2020), professional counselors providing traditional in-person play therapy found themselves in a quandary regarding the delivery of services during a global pandemic (Evans, 2022; Mitchell, 2020; Whaibeh et al., 2020). Online counseling proffered a means to prevent the disruption of services, respond to the need for emerging counseling services, and comply with social restrictions (Evans, 2022). Prior to the pandemic, telehealth play therapy was used sparingly (Haslam & Harris, 2011; Smith et al., 2021), and many child-serving mental health professionals lacked training …

What About The Children? An Exploration Of Family Counselors' Play Therapy Training And Preparedness To Integrate Children Into Family Counseling, Patricia J. Walker Monical

Dissertations

Children are an important part of families, yet family counselor education programs often do not incorporate training for including children in family counseling. At some point in their careers, family counselors and therapists will encounter clients who have children 3–12 years old. The problem is that since these professionals often receive little to no training in play therapy and thus do not typically include young children in family therapy, these younger family members are often overlooked. Research has confirmed that, due to a lack of sufficient training and supervision in play therapy, many family therapists report feeling unprepared to work …

Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose

Dissertations

Humans possess an inherent ability to recognize evenly-spaced rhythms, known as isochronous rhythms, owing to the brain's predisposition to entrain to external auditory stimuli with regular temporal intervals. The central focus of this research is to understand how the brain learns and retains rhythmic time intervals in the context of music. This dissertation studies rhythm detection and generation through mathematical models, biophysical networks, and artificial neural networks, addressing both isochronous and non-isochronous patterns.

A primary focus of the thesis is on isochronous rhythms. In particular, given a perturbation to an isochronous rhythm such as a tempo change or phase shift …

Pushing The Boundaries Of Large Language Models: Innovations And Limitations In Nlp, Finance, And Mathematics, A M Muntasir Rahman

Dissertations

Large Language Models (LLMs) have emerged as transformative tools across a spectrum of domains, yet their practical deployment reveals a blend of remarkable potential and notable limitations. This research explores innovative methodologies to extend the capabilities of LLMs while addressing critical challenges in their evaluation and application. By leveraging rule-based approaches, the in-context learning capabilities of LLMs, and human-in-the-loop validation across three focused studies, this research introduces robust strategies for dataset synthesis, model enhancement, and model assessment in three distinct domains: natural language processing, financial sentiment analysis, and mathematical reasoning

The first study proposes an efficient data augmentation framework, EASE, …

Game-Based Learning With Augmented Reality, Kantida Nanon

Dissertations

Augmented Reality (AR) technology provides an effective and controllable learning environment, especially for complicated, potentially dangerous, or critical content. Effective implementation of interaction and platforms for educational tools can maximize learner engagement and optimize the learning experience. This dissertation explores the potential of AR technology to enhance learning experiences across multiple platforms and subject areas, particularly within chemistry and mathematics. The dissertation is grounded in the field of Human-Computer Interaction (HCI) and explores the potential of AR to increase learner engagement, improve learning outcomes, and transform traditional pedagogical practices.

The dissertation is divided into two parts. The first part examines …

First-Principles Study Of Ferroelectric Properties And Co2 Reduction Reaction Capabilities In Two-Dimensional Monolayers And Heterostructures, Mo Li

Dissertations

Two-dimensional (2D) materials hold significant potential for CO₂ reduction reactions (CO₂RR) due to their high surface-to-volume ratio. However, achieving high selectivity for desired products and overcoming limitations posed by scaling relationships remain challenging. Recent studies suggest that ferroelectric (FE) materials with switchable out-of-plane polarization (OOP) can effectively tune the adsorption behavior, thermodynamics, and kinetics of CO₂RR, offering promising solutions to these challenges. Using density functional theory (DFT) and the Berry phase approach, this work expands the family of 2D ferroelectrics by theoretically identifying Y₂CO₂, Y₂CS₂, and Sc …

Determination Of Electrochemical Parameters For Predicting Reaction Mechanism And Algorithmic Approaches To Pain Assessment, Huize Xue

Dissertations

This dissertation introduces novel advancements in electrochemical kinetics and pain assessment, structured into two main parts. The first part focuses on the comprehensive analysis of the kinetic and mechanistic aspects of electrochemical reactions, utilizing a combination of experimental techniques and simulation methods. A new software tool, Envismetrics, was developed using Python to facilitate the analysis of complex electrochemical data, including cyclic voltammetry (CV), chronoamperometry (CA), and hydrodynamic voltammetry (HDV). The software was rigorously tested and validated with well-characterized redox systems such as the ferricyanide/ferrocyanide couple, dimethylamine borane (DMAB), and Per- and Polyfluoroalkyl Substances (PFAS). It was successfully used to determine …

Gas-Generating Reactive Materials: Design, Evaluation And Effect Of Morphology On Their Ignition And Combustion, Purvam Mehulkumar Gandhi

Dissertations

This work investigates optimizing gas-generating reactive materials, focusing on particle morphology's effect on ignition and combustion behavior. Metal-based gas-generating energetic materials (EMs) are promising alternatives to replace traditional CHNO compounds. Design of advanced metal-based EMs requires consistent ways of evaluating how their characteristics affect their ignition and combustion. Many relevant evaluation approaches exist; however, the results may be difficult to compare directly across different studies. Commonly, experimentalists ignite metal-based EMs in enclosed chambers and report pressures, P. However, direct comparison of these pressures is hindered by variations in the chamber volume, V, and the EM mass, m. To standardize the …

Ensemble Learning Models For Large-Scale Time Series Forecasting In Supply Chain, Minjuan Zhang

Dissertations

Machine learning and AI techniques are transforming supply chain forecasting, driven by the expanding availability of data assets. These advanced methods offer powerful opportunities to optimize management processes, reduce operational costs, and enhance strategic decision-making, which is crucial for enterprise success. However, conventional statistical approaches, such as Autoregressive Integrated Moving Average Models (ARIMA), dynamic regression, and Unobserved Component Models (UCMs)—which have long dominated time series forecasting—often fall short in accuracy and scalability. These traditional models face limitations in batch processing, handling large-scale data, addressing uncertainty-induced disruptions, and synchronizing demand-supply scenarios.

To address these challenges, a novel class of AI-powered ensemble …

Machine Learning Methods For Pattern Recognition Analysis Of Genomic And Molecular Data, Kuang Du

Dissertations

While immune therapies achieve remarkable success in treating various cancers, only a subset of patients achieves a durable clinical response, and many exhibit innate or acquired resistance. Precision medicine aims to tailor treatments to individual patients based on specific biological markers, ensuring that each patient receives the therapy most likely to be effective. Predictive biomarkers and gene signatures offer potential for more personalized treatment strategies by identifying patients likely to benefit. Recent studies suggest that gene signatures, comprising sets of genes, hold predictive value for certain clinical variables. Typically derived from biological expert knowledge, these signatures demonstrate substantial predictive potential, …

Knowledge Diffusion In Networks Of Artificial Learners, Ehsan Beikihassan

Dissertations

The dissertation draws inspiration from the topic of peer learning in the social sciences and the study of information dissemination and knowledge diffusion in network science. In particular, it introduces and studies a setting involving a population or network of artificial learners, with the objective of optimizing aggregate performance measures under constraints on training resources. In this context, natural knowledge diffusion processes in networks of interacting artificial learners are studied. The term "natural" refers to processes that emulate human peer learning, where the internal state and learning processes of students remain largely opaque, and the main degree of freedom lies …

Interactive Visualization Workflows For Mitigating Analytical Uncertainty, Kaustav Bhattacharjee

Dissertations

This dissertation takes a process-centric and stakeholder-first perspective for handling analytical uncertainty: the form of uncertainty that confronts data analysts' insight-generation processes in high-consequence decision-making scenarios. The cost of an incorrect decision when data is used for movie recommendations as opposed to when personal data is used to drive insights or when data-driven modeling is used to drive real-time decisions for maintaining the health of a grid are vastly different in terms of consequences. This dissertation looks at analytical uncertainty in two real-world scenarios: i) how sensitive information leakage can be prevented during the open data release process with data …

Decomposition Of Diisopropyl Methylphosphonate (Dimp) Exposed To Elevated Temperatures And Combustion Products Of Reactive Materials, Elif Irem Senyurt

Dissertations

The safe and efficient destruction of chemical weapon agents (CWAs) stockpiles remains a critical global challenge. Understanding the thermophysical properties, decomposition mechanisms, and interactions of CWAs with their environment is crucial for developing effective strategies to mitigate their threats. Diisopropyl methylphosphonate (DIMP) and Dimethyl methylphosphonate are commonly used nerve agent surrogates. This dissertation focuses on DIMP and DMMP, investigates their properties and behavior under conditions relevant to prompt defeat scenarios.

The thermophysical properties of DIMP and DMMP were experimentally characterized, including vapor-liquid surface tension (3-60 °C) and viscosities of neat and aqueous solutions. Results revealed significant non-ideal behavior in aqueous …

Visual Analytic Techniques For Interpretable Algorithmic Ranking Systems, Jun Yuan

Dissertations

Rankings have a profound impact on the increasingly data-driven society. From leisurely activities like the movies to watch, the restaurants to patronize; to highly consequential decisions, like making educational and occupational choices or getting hired by companies— these are all driven by sophisticated yet mostly opaque algorithmic rankers. A small change in how these rankers order the data items can have profound consequences, like deterioration of the prestige of a university or a job applicant missing out on being on the list of the top candidates for an organization. These scenarios necessitate data-driven and human-centered innovation to make rankers accessible, …

Crowd-Sourced Learning For Computer Graphics Applications, Yunhao Zhang

Dissertations

Computer Graphics (CG) revolves around virtual content creation using computational methods, spanning applications from games to visual effects. Typically, the creation of CG content is led by expert practitioners who guide computational algorithms towards satisfactory results. Thus, creating CG content often requires manual iterations encompassing algorithm design, parameter tuning, and aesthetic feedback. This work investigates how to leverage crowd-sourcing to streamline such creation processes, focusing on animation and simulation. In animation, a novel crowd-sourcing framework is proposed for combat animation, enabling users to analyze motion similarities, and retrieve matching motions using novel crowd-sourced motion features. Such features enable quantifying previously …

Representation Of Alaskan Native People In Nonprofit Leadership, Vanessa Smith

Dissertations

The nonprofit sector faces a significant issue: the underrepresentation of the communities it aims to serve, including Alaska Native communities. This research investigates the likely causes of this underrepresentation and explores potential solutions. It includes nine qualitative interviews with a majority of Alaskan Native leaders and consultations with other non-Native nonprofit leaders who have extensive experience in Alaska's nonprofit organizations.

This study arose from firsthand experience in an Anchorage, Alaska nonprofit, where the lack of Alaska Native representation in leadership roles within an organization meant to serve the Alaska Native community was evident. The research aimed to understand how well …

Beyond Average Effects In Education Research Syntheses: Explaining Heterogeneity Of Concept Mapping Research In Science Education Through Meta-Regression Modeling, Aaron Wenger

Dissertations

Contemporary education research seeks causal inferences in order to guide policy and practice. Often well-controlled quasi-experimental and experimental designs are used as they are very useful for supporting and contextualizing causal inferences. Nevertheless, individual studies, even high-quality, resource-intensive randomized controlled trials, are not able to establish generalized claims. Because primary studies vary over dozens of variables (e.g., grade, subject, duration) simply conducting additional primary studies cannot change this. Furthermore, the informal assessments of primary studies common in literature reviews are unable to resolve certain challenges (e.g., publication bias) that are described in the emerging field of meta-research. These challenges require …

Rethinking Safe Nurse Staffing In The Post-Covid Icu: A Comparative Analysis Of The Nurse-To-Patient Ratio And Mixed Model Approach For State Policies, Emilie A. Maxie

Dissertations

The coronavirus pandemic (COVID-19) led to an unprecedented surge in ICU admission, increasing the nurse-to-patient ratios and intensifying stress on ICU nurses. This prompted many nurses to leave bedside care, exacerbating the ongoing nursing shortage and creating unsafe working conditions. Fourteen states have enacted safe nurse staffing policies. California implemented a mandated nurse-to-patient ratio, while Massachusetts adopted a mixed model for ICUs that involves a ratio, nurse committees, and workload tools. In post-COVID, this raises the question of which state policy approach is more effective in retaining ICU nursing staff. Literature suggests a mixed policy may be more effective.

A Phenomenological Study To Determine How Expert Avid Teachers Use Collaboration To Strengthen Student Metacognition And Student Self-Efficacy And Determine When It Occurs, Megan Hernandez

Dissertations

Purpose: The purpose of this phenomenological study was to determine how expert AVID teachers from the California Central Valley describe the use of collaboration to strengthen student metacognition and self-efficacy and how they describe the evidence that indicates metacognition and self-efficacy are occurring.

Methodology: Five Central California school districts were chosen to conduct the phenomenological study on expert AVID teachers. One to two AVID teachers from each of the five school districts were chosen in the study for eight participants. The expert AVID teachers were chosen for having at least five years of experience teaching AVID and being up to …

Discovering The Process Of Reasonable Academic Accommodations For Pre-Licensure Nursing Students With Learning Disabilities, Amy Yarbrough

Dissertations

The purpose of this study was to explore the process by which nursing faculty make reasonable academic accommodations for students with learning disabilities in the classroom setting. Nursing students with identified learning disabilities require academic accommodations to facilitate their success. The process of reasonable academic accommodations for nursing students with learning disabilities has not been examined within nursing education literature. Clarification is necessary regarding this process to promote student success and inclusive learning environments within nursing education. Constructivist grounded theory methods as described by Charmaz (2014) guided data collection and analysis. The accommodation processes with categories were identified. The emergent …

Examining Teachers’ Experiences In Fostering Social-Emotional Learning After Returning To In-Person Instruction In The Midst Of The Covid-19 Pandemic, Rosario Grajeda

Dissertations

Purpose: This qualitative phenomenological study examines how middle school teachers in Riverside County, California, support the social-emotional learning (SEL) needs of students as students returned to in-person instruction after the COVID-19 pandemic. Methodology: This qualitative study explores how Riverside County middle school teachers addressed students' social and emotional needs upon returning to in-person learning after COVID-19. Twelve teachers from local public middle schools (grades 6-8) participated in semi-structured interviews, answering ten questions. Data from interviews and artifacts were transcribed and analyzed using NVIVO software to identify recurring themes related to the study questions. Findings: The shared experiences of participants and …

A Latent Profile Analysis Of High-Risk Children's Problematic Sexual Behavior, Claudia Campbell

Dissertations

As research and intervention regarding children’s problematic sexual behavior (PSB) have broadly defined PSB, including all forms of developmentally atypical sexual behavior and all potential etiological factors, limited work to date has identified subtypes or unique patterns of PSB. The aim of the current study was to examine the presence of unique patterns of PSB and etiological factors among high-risk children utilizing latent profile analysis (LPA) based on children’s self-focused PSB, interpersonal PSB (IPSB), maltreatment factors, co-occurring symptoms, adaptive functioning, and family functioning. The present study included 689 8-year-old children (50.1% male, 50.2% Black) with potential PSB and their caregivers …

Faculty And Staff Pay Satisfaction And The Impact On Organizational Commitment And Retention, Jennifer Hennings

Dissertations

This mixed-method study explored the relationships between pay satisfaction, organizational commitment, retention, and seniority among faculty and staff at a private, four-year institution in the Midwest. The research investigated how satisfaction with a compensation program influences organizational commitment and turnover intentions. The researcher used a quantitative method to study the impact of pay satisfaction on organizational commitment and turnover intention. Additionally, a quantitative method explored relationships between seniority and turnover intention. Findings revealed positive relationships between pay satisfaction and organizational commitment, along with pay satisfaction and turnover intention. Findings also revealed positive relationships between seniority, measured as years of service, …

Subsyndromal Delirium And Postoperative Pain In Older Adults, Dawn Lujean Denny

Dissertations

The purpose of this study was to determine the relationship between subsyndromal delirium and pain in older adults following major elective orthopedic surgery. The design of this correlational study was based on Inouye and Charpentier's (1996) multifactorial model of delirium.