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Articles 1231 - 1260 of 23701
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Voices Of Chinese American Emerging Adults: Complex Racial Identities, Family Dynamics, And Mental Health Experiences, Maxwell Lou Xu
Voices Of Chinese American Emerging Adults: Complex Racial Identities, Family Dynamics, And Mental Health Experiences, Maxwell Lou Xu
Dissertations
Although Asian Americans are the fastest growing racial minority group in the United States, they remain significantly underrepresented in mental health research. Furthermore, research on Asian American mental health often aggregates the experiences of different Asian ethnic groups, creating a limited understanding of how distinct ethnic groups may differ in their mental health experiences. This interview study with Chinese American emerging adults ages 18–25 from varied family contexts (single-race, multiracial, and adoptive households) examines how members of this population make sense of the relationships between their identity, family, and mental health. This thesis posits that Chinese Americans' nuanced experiences—particularly around …
Experiences And Perceptions Of Gaslighting In The Workplace, Lauren Flanagan
Experiences And Perceptions Of Gaslighting In The Workplace, Lauren Flanagan
Dissertations
The topic of gaslighting has gained increasing traction over the last several years. People have begun researching it in real-world settings such as relationships, politics, and the workplace. Furthermore, researchers have looked at the effects it has on the victim. However, there has been limited research on how one might react to an instance of gaslighting. This study examines how the victim’s race and the perpetrator’s position of power influence third parties’ recommendations on how to handle a scenario of workplace gaslighting. Psychology 101 students (N = 154) were randomly assigned to a 2 (race of victim: white vs black) …
Ultramodern Racism: A Critical Discourse Analysis Of The Impact Of Anti-Crt Legislation On Us History Curriculums, Amelia Gernand
Ultramodern Racism: A Critical Discourse Analysis Of The Impact Of Anti-Crt Legislation On Us History Curriculums, Amelia Gernand
Dissertations
In the wake of Donald Trump’s failed 2020 bid for a second presidential term, there was a surge in anti-CRT legislation targeting how issues of race and racism could be taught in public school curricula. While proponents claim that anti-CRT laws will protect students of all races from discrimination, curriculums have historically been used as a tool by those with symbolic power to legitimize white supremacy and perpetuate anti-Black and color-evasive racism. Two states--Florida and Arkansas--recently enacted anti-CRT legislation in addition to Black history mandates. While legislators in these two states claim that their goal is to expand the teaching …
The Forced Sterilization Of Quechua-Speaking Women In Peru: The Role Of Epistemic Injustice In The Perpetration Of Genocide, Geraldine Diaz
The Forced Sterilization Of Quechua-Speaking Women In Peru: The Role Of Epistemic Injustice In The Perpetration Of Genocide, Geraldine Diaz
Dissertations
The forced sterilization of Quechua-speaking women in Peru from 1996 to 2000 represents a case of genocide in which the state as an epistemic agent has a fundamental role. Although the systematic sterilization was carried out under the guise of a family planning program, the targeting of these women provides strong circumstantial evidence of genocidal intent. According to the testimonies of these women, medical staff, acting on behalf of the government, performed tubal ligation procedures through coercion, threats, lies, bribery, manipulation, and other tactics where the state intentionally withheld information, misinformed women, and failed to obtain proper consent. This research …
Response Of Benthic Macroinvertebrate Community Structure And Aquatic Insect Secondary Production To Coarse Woody Debris Addition In Peri-Urban To Urban Golf Course Ponds, Ryan Johnson
Dissertations
Golf courses represent 29% and 26% of all greenspace areas in the U.S. urban regions and the Chicago metropolitan region, respectively; however, they are often overlooked among urban greenspaces as a tool to mitigate the impacts of increased urbanization on ecological communities. The primary aim of this research was to assess whether manipulating golf course pond habitats by adding coarse woody debris (CWD) would enhance aquatic invertebrate community structure and secondary production, with the potential to increase local biodiversity. One pond in each of six golf courses was selected for this study and sampled in summer 2020 before wood addition …
Soteriological Perspectives In The Seventh-Day Adventist Church From 1930 To 2000, Jungkyu Park
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
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 …
Astaxanthin Supplementation Does Not Significantly Alter Cognitive Performance Following Mental Fatigue In Females, Gavin A. Barker
Astaxanthin Supplementation Does Not Significantly Alter Cognitive Performance Following Mental Fatigue In Females, Gavin A. Barker
Dissertations
Mental fatigue (MF) is a psychobiological state caused by prolonged periods of demanding cognitive activity, often characterized by impairments to cognitive performance. Astaxanthin (AX) is a naturally occurring antioxidant that can cross the blood-brain barrier and may preserve cognition when presented with a MF challenge. As yet, no studies have yet been conducted in an all-female cohort. This is the first study to investigate 4-weeks of AX supplementation on markers of cognitive performance (reaction time (RT), speed, and responses correct per second (RCS), visual analog scale of mental exertion (VAS-E)) following acute MF. Twenty-five recreationally active female subjects (AX: n …
The Impact Of University Engagement On Psychosocial Factors Among Division I Female Student-Athletes, Ashley A. Cook
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 …
Comparison Of Post-Exercise Lipid Oxidation Rates Between Lower And 1 Upper-Body Resistance Training In Well-Trained Females, Alyssa L. Parten
Comparison Of Post-Exercise Lipid Oxidation Rates Between Lower And 1 Upper-Body Resistance Training In Well-Trained Females, Alyssa L. Parten
Dissertations
INTRODUCTION: Lipid oxidation (LOx) is a relevant physiological process linked to metabolic health. Despite growing interest in resistance training (RT) as a means to influence substrate utilization LOx responses in females remain poorly characterized, with no study examining whether lower- and upper body RT elicits different LOx patterns during the recovery period following exercise. This distinction may be relevant because lower-body exercises involves greater fat-free mass (FFM) and energy expenditure, whereas upper-body exercises recruit less FFM, potentially influencing metabolic effects.
PURPOSE: To determine if LOx rates after exercise differ between lower- and upper-body RT in well-trained females.
METHODS: Twenty-two females …
Menstrual Cycle Phase Exerts No Influence On Running Economy Parameters In Recreational Female Runners, Savanna K. Knight
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
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
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 …
The Ethical Theory Of Enrique Dussel: An Investigation Of Violence And Coercion In His Three Foundational Principles, Eric Antonio Del Valle Cruz
The Ethical Theory Of Enrique Dussel: An Investigation Of Violence And Coercion In His Three Foundational Principles, Eric Antonio Del Valle Cruz
Dissertations
Problem
Enrique Dussel's ethics proposes addressing global inequality through legitimate coercion as a means of liberating the poor, contrasting it with the violence of the current system. However, the inclusion of life-threatening acts, such as armed revolution, as coercion raises practical challenges for the Christian community, including ethical-political dialogue, inclusion of opposing parties, and potential dehumanization, which need further exploration in light of Dussel’s use of Scripture in support of his proposals.
Purpose
This dissertation aims to assess Dussel's philosophical principles and their connection to coercion and violence, ultimately establishing a framework for a conservative Christian proposal that combines the …
Assessment Of The Level Of Relevancy Of Theological Education In The Chinese Context, Jacky Yeung
Assessment Of The Level Of Relevancy Of Theological Education In The Chinese Context, Jacky Yeung
Dissertations
Problem
The contextualization of theological education has been a topic of academic discussion for many years with scholars exploring various angles related to this subject. Despite the ongoing need for contextualized theological education, an assessment of its relevancy in the Chinese setting has not been extensively studied. This dissertation aims to fill this research gap by assessing the relevancy of Adventist theological education in China and providing recommendations for improvement.
Method
The study employs a mixed-method approach, combining both quantitative and qualitative research methods to gain a comprehensive understanding of the issue. The quantitative stage involves a survey administered to …
Inner Life, Spiritual Leadership, And Spiritual Well-Being As Predictors Of The Organizational Performance Of Employees At A Seventh-Day Adventist University In Latin America, Patricio Ordoñez
Dissertations
Problem
While traditional leadership models, such as transactional and transformational leadership, have shown success, recent research highlights the need for leadership approaches that address the spiritual and ethical dimensions of individuals in the workplace. Leaders who fail to integrate spiritual leadership risk negatively impacting employee satisfaction, creativity, and overall organizational performance. Despite the well-established concepts of inner life and spiritual well-being, more research is needed to understand their effects on employee performance in faith-based institutions. This study sought to fill that gap by examining the relationship among inner life, spiritual leadership, and spiritual well-being as predictors of organizational performance among …
Correlating Text With History: A Critique Of Method In Daniel 11: 2b-25, Sungjin Kim
Correlating Text With History: A Critique Of Method In Daniel 11: 2b-25, Sungjin Kim
Dissertations
The Topic
Daniel 11 is the most detailed and complex historical prophecy in the book of Daniel, inviting a wide range of interpretations. Based on the chapter’s complexity, scholars from different schools have developed divergent readings grounded in their own methodological approaches and theological presuppositions.
The Purpose
The purpose of this study is to analyze the interpretive differences in Daniel 11 among three representative scholars—John J. Collins (preterist), J. Paul Tanner (futurist), and William H. Shea (historicist). It examines the methodological and presuppositional factors that contribute to these differences and proposes strategies for reducing interpretive divergence through more consistent and …
Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose
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
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
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
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
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
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
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
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
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 …