Digital Commons Network^™

Navigating Big Data In Cyber Archaeology: An Updated Four-Field Approach Applied To San Miceli, Jared Wilson

Dissertations

Problem

This dissertation examines the evolving role of digital technologies in archaeological research, focusing on the management and interpretation of extensive digital datasets generated by modern excavations. Drawing on six years of comprehensive fieldwork at San Miceli, Sicily, this study critically evaluates and updates the established four-field methodology proposed by Levy et al. (2012), encompassing acquisition, analysis, dissemination, and curation. While traditional archaeological documentation methods rely heavily on analog techniques, these approaches increasingly fall short due to the rapid expansion and complexity of digital data.

Method

To address this gap, the dissertation refines and expands the current methodological framework by …

Perceived Social Support And Religious Attitudes As Correlates Of Spiritual Well-Being Among Senior Undergraduate Students At Northeast Brazil Adventist University, Hebert Davi Liessi

Dissertations

Problem

Even though the study of spirituality has been a recurrent theme in academia, in Brazil there has been little emphasis on the analysis of spiritual well-being in the context of university students. Few studies have examined the correlation of spiritual well-being with perceived social support or religious attitudes among university students, and most of these have been in the fields of health care or health recovery. Some research has indicated that religious attitudes may be partially disconnected from improvements in the level of spirituality. -- This study aimed to verify whether this disconnection is real or relevant, and assumed …

Developing The Leadership Competency Of Critical Thinking In College Students: A Quasi-Experimental Mixed Methods Study At A Small Christian College, Norberto Restrepo

Dissertations

Our world of constant change and complex challenges requires citizens who know how to exercise higher-order thinking skills, and individuals who have developed their metacognitive abilities to a higher extent are better prepared to perform effectively as leaders. This quasi-experimental mixed methods study employed a pre and posttest design to determine whether the critical thinking skills of students at Hartland College could be improved over the course of a one quarter ten week term through the use of biblical worldview instructional approaches such as biblical worldview development, faith learning integration, and deep Bible study that had critical thinking activities embedded …

Relationship Between Financial Literacy And Financial Behavior Among Seventh-Day Adventist Full-Time Pastors In The North American Division Of The Seventh-Day Adventist Church, Edwin G. Romero

Dissertations

Problem

This investigation intended to examine the relationship between the financial literacy components of full-time pastors and their financial behavior components. Many pastors struggle with their finances and often retire unprepared due to having inaccurate or incomplete knowledge of relevant financial information and planning strategies.

Method

This study adopted a quantitative, descriptive, and correlational approach to investigate the financial and demographic characteristics of pastors. The questionnaire completed by participants was the financial literacy questionnaire developed by Stella et al. (2020), which helped measure general financial literacy among full-time pastors, and the Financial Management Behavior Scale (FMBS) developed by Xiao (2008) …

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 …

The Concept Of Israel In The Old Testament And Its Divine Purpose: An Exegetical And Theological Analysis, Gregory Arutyunyan

Dissertations

The aim of this study is to undertake a fresh look into the concept of Israel in the Old Testament and its divine purpose in the context of the overarching theology of the Hebrew Bible. The working method used in this research is a theological and exegetical analysis of relevant Hebrew text along with incorporating historical and socio-archaeological background studies.

The conclusion that is reached is that Old Testament Israel was a cosmopolitan community of people connected through biological links, intermarriage relationships, and political alliances. In a spiritual sense, the term Israel served as a characterizing title granted to Jacob …

Analyzing The Population Structure Of The Rhizobia Associated With Astragalus Lentiginosus, Joshua Adam Melnick

Dissertations

Legumes are an incredibly diverse and agriculturally important family of plants. They have a special relationship with symbiotic bacteria known as rhizobia which fix nitrogen into ammonia within nodules on their roots. Astragalus is the largest plant genus on Earth, and the species Astragalus lentiginosus is extraordinarily diverse, consisting of approximately 40 varieties. However, the rhizobia of A. lentiginosus have never been studied. In this study, root nodules were extracted from 17 varieties of A. lentiginosus to obtain rhizobial strains and metagenomes. A. lentiginosus primarily associates with rhizobia from the genera Mesorhizobium and Allomesorhizobium. There was little evidence of horizontal …

Exploring The Ecological Relevance Of Biotic And Abiotic Stressors In Structuring Legume Microbial Communities, Cian Dotson

Dissertations

Heavy metal hyperaccumulation is prevalent throughout plant evolution, particularly in the legume family (Fabaceae), and acts as a presumed chemical defense against herbivory. However, heavy metal hyperaccumulation can have non-target impacts on other biological interactors including plant-microbe interactions. This information is important given the interest in utilizing hyperaccumulating plants for phytoremediation of anthropogenically contaminated soils. Here we employ a greenhouse experiment manipulating selenium level along with 16S rRNA gene amplicon sequencing methods to explore the effect of selenium on the prokaryotic microbiome of the selenium hyperaccumulator Astragalus crotalariae and non-accumulator Astragalus lentiginosus var. borreganus. Regardless of hyperaccumulator status, both plant …

Deciphering The Source Of Escherichia Coli In Urinary Tract Infections: A Comparative Metagenomic Analysis Of The Female Urogenital Microbiome, Alexis Annabel Avalos

Dissertations

In 2019, there was a 140.19% increase in deaths due to urinary tract infections (UTIs) compared to 1990, worldwide. One of the common uropathogens known to associate with UTIs in females is Escherichia coli. The prevailing belief is that E. coli in the bladder originates in the rectum, passing its way from the perineal, to the vagina, and finally into the bladder. Known as the Fecal-Perineal-Urethral (FPU) hypothesis, this “origin story” has been supported by several studies that have relied on genotyping or serotyping isolates collected from the bladder and rectum. Most notably, culturing isolates from samples has been central …

Reconceptualizing Christian Nationalism, Robert Stevenson

Dissertations

This thesis sets out to critically engage with existing research on Christian nationalism. It argues that current research suffers from a methodological focus that is too broad, and theoretical grounding that is too imprecise, both of which prevent researchers from grasping the full scope and intent of Christian nationalism, as imagined by Christian nationalists themselves. Drawing on data collected from X accounts (formerly Twitter) of Christian nationalist users, Christian nationalist podcasts, and Christian nationalist books, it employs qualitative content analysis, mapped to Bourdieusian field theory to provide a structured approach for the understanding complex data involving multiple spheres of power, …

Decoding The Origins Of Infection: A Machine Learning Framework, Nirupama G. Shanbhag

Dissertations

Many infections can be attributed to a specific microorganism. For example, while there can be many causes of urinary tract infections (UTIs), such as the bacterial species Klebsiella pneumoniae or Enterococcus sp., the most widespread cause for UTIs is uropathogenic Escherichia coli. Generally, diseases or infections that are the result of a single pathogenic organism are more easily understood. Other diseases, such as irritable bowel disease (IBD), cannot be attributed to one member in the community; rather, it is a result of dysbiosis of the microbial community (microbiota) of the gastrointestinal tract, a combination of an overgrowth of problematic members …

Role Of Coronavirus Envelope Protein On Infectivity, Garrett E. Zaagman

Dissertations

Coronaviruses infect a wide range of hosts and have caused recent human pandemics. While much has been learned, gaps remain in understanding viral assembly and egress, particularly the role of the envelope (E) protein in specific infectivity. To study this, recombinant MHV viruses were created with E gene deletions and HiBiT-tagged spike (S) proteins to monitor virion release. In mouse cells, MHV∆E S-HiBiT secreted less spike and fewer infectious particles, indicating reduced specific infectivity. Comparisons between human HeLa-CEACAM and mouse DBT cells showed species-specific support for virus production. TMED10, a host membrane protein, was tested as a potential E-interacting partner …

Anti-Inflamatory Mechansim Of Bacillus Subtilis Derirved Exopolysaccharide, Adrian Taylor Ibarra

Dissertations

Exopolysaccharides (EPS) secreted by the commensal bacterium Bacillus subtilis exhibit potent anti-inflammatory properties, yet the underlying molecular mechanisms remain incompletely understood. We hypothesized that EPS reprograms antigen-presenting cells toward a tolerogenic state by modulating TLR4–MyD88 signaling. To test this, we began using a chemically defined, high-yield EPS production and purification protocol that largely eliminates protein and DNA contaminants, thus improving functional reproducibility across experiments using this new method. In vitro, EPS engaged TLR4 on murine dendritic cells (DC2.4) without inducing classical NF-κB activation, seen by LPS stimulation. Rather, EPS treatment upregulated inhibitory molecules, PD-L1 and PD-L2 while leaving activation markers, …

Investigating The Mechanism Of Resistance To Ido1 Enzyme Inhibitor Treatment In Human Glioblastoma, Kyla Shivakumar Hatton

Dissertations

Glioblastoma (GBM) is the most common and most aggressive form of adult cancer in the central nervous system, with GBM accounting for the majority of all malignant brain tumors. GBM is currently considered to be an incurable form of cancer, with over 14,000 patients diagnosed in the United States last year. Given the success of immunotherapy for treating other types of cancer, our group has investigated the possibility of therapeutically neutralizing immunosuppressive indoleamine 2,3 dioxygenase 1 (IDO1) in patients with GBM. Canonically, IDO1 is an immunosuppressive cytoplasmic enzyme that catalyzes the first step in metabolizing L-tryptophan into L-kynurenine (ie. ↓L-Trp→↑L-Kyn). …

Examining Secretory Pathways In Inflammasome Activated Innate Immune Cells, Alejandra Castellanos Urquidez

Dissertations

Innate immune cells serve as the first line of defense by detecting pathogens through pathogen- and damage-associated molecular patterns (PAMPs and DAMPs). Recognition of PAMPs triggers the synthesis and secretion of pro-inflammatory proteins, with the inflammasome playing a key role in the secretion of interleukin-1β (IL-1β), a crucial part of the innate immune response. Upon inflammasome activation, the release of signal-peptide lacking cytoplasmic proteins such as IL-1β occurs through non-classical pathways known as unconventional protein secretion (UCPS), which vary depending on the cell type and stimulus which helps tailor the extent of pro-inflammatory protein secretion. Broadly, UCPS cargoes are released …

Capturing Diverse Adolescents’ Social Contexts: The Development Of An Ethnic-Racial Microaffirmations Scale For Peer Interactions, Maria Radulescu

Dissertations

The development of a strong and positive sense of ethnic-racial identity (ERI) has been identified as an asset for ethnically and racially marginalized adolescents. Peer interactions during the adolescent years can support ERI development. In particular, a subtle micro-level form of peer support—microaffirmations—may be protective for ERI processes. However, the field of microaffirmations is very small, and there is no scale that captures adolescents’ experiences of ethnic-racial microaffirmations from their peers. The current study developed an ethnic-racial peer microaffirmations scale based on extant literature and feedback from 4 focus groups with 22 sophomore high school students. Findings indicated that 5 …

“What’S Happening In The Gulf Of Maine?”: Middle School Students’ Engagement In Climate Science Through Data Visual Representation And Reflections, Grace Ocular

Dissertations

This study examined how middle school students engaged with science concepts while working with data visualizations during a field trip learning experience. Fifty-one teams of 2–4 students from 35 schools participating in the LabVenture program were video- and audio-recorded. Students completed two activities: one using a frequency table of marine species illustrating threats to Maine’s lobster population, and another using maps depicting changes in Gulf of Maine sea surface temperature. After each activity, students annotated the visualization, discussed their claims, and recorded short reflections. Transcripts were coded for science-related talk, and annotations and gestures were also analyzed. Findings indicate that …

Systematic Review Examining How Black Youth In The United States Cope With Stressful And Traumatic Experiences, Marcus Aaron Flax

Dissertations

Coping is an important behavioral skillset that youth use to emotionally regulate after experiencing stress or trauma. Research has repeatedly highlighted the stressors that Black youth experience, often finding that Black youth face higher levels of stress and trauma than their White peers. However, there has been a lack of research in understanding how Black youth cope with these higher levels of stress. This systematic review includes 72 studies (N = 16,205 participants) examining the frequency and effectiveness of coping strategies used by Black youth in response to a trauma or stressor, along with the associations between utilized coping strategies …

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

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 …

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

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 …

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

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 …

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, …

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 …

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, …