Digital Commons Network^™

Hope As Affect: Engaging With Crisis And Collapse Through Collaborative Performance Making, Bronte Frances

Theses : Honours

The project is interested in how hope can operate as an affective, embodied force within collaborative performance-making processes. In this specific context it was to see how, where and why the concept of hope was possible in the collaborative making of a new and original full length theatre work that was addressing themes of crisis and collapse. Invoking key theorists – Joanna Macy and Chris Johnstone (2022), Donna Haraway (2016), Kathleen Stewart (2007), Jonathan Lear (2006), and Rebecca Solnit (2016) – the research investigated how hope can be consistently enacted. Centred on investigating hope as affect experienced in the present …

Brian Leftow, Anselm's Argument: Divine Necessity, Chad Mcintosh

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

No Ghost In The Machine: Doubting Ai Ensoulment, Bálint Békefi

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Can Ai Perform Inductive Bible Study? A Case Study And Implications For Applying Ai In Biblical Studies, Shishou Chen

The Journal of Inductive Biblical Studies

This article explores the potential of employing generative AI in biblical studies, focusing on Chat GPT’s strengths and limitations to perform Inductive Bible Study (IBS). Using the Parable of the Sower (Matt 13:3b–9) as a case study, the author evaluates Chat GPT’s ability to carry out core IBS tasks, including division and the identification of Major Structural Relationships (MSRs) in Matthew and in Matthew 13, as well as interpreting Matt 13:3b–9. The study concludes that ChatGPT can serve as a valuable research assistant but cannot replace human scholars. It also proposes a responsible human-AI collaboration model, explores pedagogical applications, and …

The Journal Of Inductive Biblical Studies

The Journal of Inductive Biblical Studies

No abstract provided.

Spiritual Friendship: A Metaphor For Integrating Attachment Theory Into Classic Christian Spiritual Direction, D. Gregory Mcelyea

The Asbury Journal

This article originated in the author’s doctoral dissertation. It refines and expands the literature review with respect to attachment processes in Christian spirituality. The central thesis is that insights from attachment theory, specifically as framed in Todd Hall’s “relational spirituality” model, can be integrated into the scope of classic Christian spiritual direction. The goal is to reimagine the dynamics of insecure attachment to God as expressions of dissonance in what Adrian van Kaam called the intrasphere, which includes the disciple’s emotional life, and the intersphere, which involves the disciple’s relational life.

In fulfillment of the requirements for the Doctor of …

From The Archives: Barbed-Wire Christians: Asbury, E. Stanley Jones, And Japanese American Internment Camps, Robert A. Danielson

The Asbury Journal

No abstract provided.

For All The Saints: Sanctification, Autism, And A Rethinking Of Sainthood, Dean G. Blevins

The Asbury Journal

This article explores the intersection of sanctification, worship, and autism within Wesleyan traditions, arguing that autistic persons embody a truer vision of sainthood by challenging the “cult of normalcy” that often governs congregational life. Drawing on historical perspectives of sainthood, theological anthropology, and contemporary disability theology, the essay reconsiders how worship practices shape or exclude neurodiverse participation. By reframing sainthood through neurodiversity, the paper proposes that autistic presence in worship offers both theological insight and ecclesial renewal, calling the church toward adaptive practices of hospitality, holiness, and community that reflect the Spirit’s inclusive work.

Book Review: "Love Divine: A Wesleyan Systematic Theology", Colton Castle

The Asbury Journal

No abstract provided.

New Fossil Mygalomorph Spiders (?Idiopidae, Pycnothelidae) From The Lower Cretaceous Crato Formation Of Brazil, Elis Maria Gomes Santana

Graduate Theses, Dissertations, and Problem Reports (ETD)

The infraorder Mygalomorphae represents one of the earliest-diverging lineages of spiders, but its fossil record remains sparse relative to the modern diversity of the group. This is a reflection of both ecological and preservational biases, such as the predominantly fossorial habits of many mygalomorphs and the strong bias of the spider fossil record toward amber deposits. Compression fossils from rock deposits are therefore especially important for documenting the evolutionary history of the group. Here, two new mygalomorph fossils from the Lower Cretaceous Crato Formation, Araripe Basin (Brazil) are described. The first specimen is tentatively referred to ?Idiopidae based on male …

Fairness Without Demographic Attributes In Medical Vision–Language Models, Ahsan Habib Akash

Graduate Theses, Dissertations, and Problem Reports (ETD)

Vision–language models (VLMs) and the embedding models that underlie them have become the default representation layer for multimodal artificial intelligence. Trained by contrastive alignment over enormous, loosely curated image–text corpora, they inherit the demographic skew of that data, and they encode it in the geometry of the shared embedding space itself. The consequence is a model that performs unevenly across demographic groups even when no protected attribute is ever supplied as an input. In consumer applications this is an equity problem; in medicine it is a safety problem, because an embedding that is systematically less discriminative for one subpopulation translates …

Provider Satisfaction Between General Dentists And Endodontists, Vaidehi Kumar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Purpose: Burnout and low professional fulfillment are major issues for dental providers, impacting their well-being, patient care, and workforce stability. While burnout has been widely studied in dentistry, less is known about professional fulfillment and how it varies by specialty and work environment. This cross-sectional study compared professional fulfillment and burnout between general dentists and endodontists, and examined how practice setting, demographics, and job factors affect occupational well-being. Methods: Licensed dentists (n=147; 72 general dentists and 75 endodontists) participated in an anonymous online survey. The Professional Fulfillment Index (PFI) was used to measure three sub-domains: Professional Fulfillment, Interpersonal Disengagement, and …

Promoting The Use Of Smoke Evacuation Systems In The Operating Room: A Quality Improvement Initiative, Andrea Leigh Drayer

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Surgical smoke produced during procedures poses serious health risks to operating

room (OR) staff and patients, yet many hospitals, including an academic medical center in

northern West Virginia, have underutilized smoke evacuation systems. The imminent

enforcement of West Virginia House Bill 4376, mandating smoke evacuation use, provided both

urgency and opportunity for an intervention.

Purpose: The purpose of this Doctor of Nursing Practice (DNP) quality improvement project

was to increase timely compliance with the use of smoke evacuation systems during all smoke-

producing procedures, ensuring alignment with safety standards and legislative requirements.

Methods: A systematic evidence review of academic …

Real-Time Lidar-Based Vehicle Detection Using Pointpillars For Connected And Automated Vehicle Applications, Jared Townsend Behr

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work explores the implementation of a real-time LiDAR processing model for autonomous vehicle design. Automotive perception systems are becoming increasingly important as Advanced Driver Assistance Systems (ADAS) and Connected and Automated Vehicle (CAV) technologies continue to progress toward higher levels of autonomy. Reliable perception is paramount for autonomous features, such as adaptive cruise control (ACC), where identifying and tracking a lead vehicle is a safety critical task.

Many production ADAS perception systems primarily rely on radar and camera sensors for object detection and sensor fusion. These sensors work well to achieve classification and accurate distance detections; however, they are …

Multi-Omic Characterization Of Immune And Metabolic Responses To Inflammatory Challenges In Sheep, Samanthia Raceine Johnson

Graduate Theses, Dissertations, and Problem Reports (ETD)

To meet the demands of the growing population, it is imperative to develop sustainable and applicable ways to improve animal health and productivity. The first step in doing so is understanding the mechanisms that govern health and immune response and find ways to appropriately modulate them to improve animal health and productivity. The objective of this study is to use multi-omic techniques to understand breed-specific immune responses in sheep that may contribute to their resistance and susceptibility to parasites and to a greater extent, immunocompetence. Known parasite-resistant breed, St. Croix (STC) were compared to parasite susceptible Suffolk (SUF) sheep for …

Energy Partition And Heating Mechanisms In Asymmetric Antiparallel Magnetic Reconnection, Aleksandra Abova-Volkova

Graduate Theses, Dissertations, and Problem Reports (ETD)

Magnetic reconnection is a fundamental plasma physics process whereby a change in magnetic field connectivity drives the conversion of magnetic energy into energy of the surrounding plasma, often explosively. One of the many settings where it occurs is at the dayside magnetopause of Earth and other planets, where the magnetic field, number density, and/or temperature in the plasmas on the two sides upstream of the reconnection site are asymmetric. How the incoming magnetic energy gets partitioned into outgoing energies during asymmetric reconnection remains an outstanding question; of special interest is the fraction that gets converted into internal energy of ions …

Walking In The Footsteps Of My Ancestors: A Deep Map Of Cherokee Forced Removal, Deborah Lyn Kirk

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study of the place of Cherokee forced removal, I use a Third Space approach to blend Indigenous Methodologies, Deep Mapping, Geospatial mapping and analysis, and 3D Geography. Using a hybrid platform that provides a mélange of media types, storytelling forms, and interactive tools, I reimagine and retell the story of the Cherokee “Trail of Tears.”

In accordance with Cherokee philosophies of duyuktv, harmony, and “a good mind” I first sought out Cherokee sponsorship from community respected and culturally knowledgeable Cherokee citizens; partnered with the National Trail of Tears Association (NTOTA); submitted my research proposal to the Cherokee …

Mechanisms Of Glyphosate Toxicity: Uptake, Mitochondrial Function, And Metabolism, Dionysios Patriarcheas

Graduate Theses, Dissertations, and Problem Reports (ETD)

Glyphosate, the most widely used herbicide in the world, is an inhibitor of chorismate biosynthesis, the precursor of aromatic amino acids. The target of glyphosate is absent in animals, but findings reporting toxicity in model organisms without a known mechanism or target are increasing. Saccharomyces cerevisiae is a useful and versatile model for understanding molecular mechanisms of toxicity. In yeast, previous work has shown that the aspartate/glutamate permease Dip5 is the proposed transporter for glyphosate and that mitochondrial metabolism has been implicated in response to glyphosate toxicity. This dissertation aimed to identify the effects of glyphosate on mitochondrial function through …

Managing The Legacy Of Historical Land Use In Central Appalachia: Soil Health, Carbon Storage, And Restoration Across Disturbed Ecosystems, Kyra R. Dukich

Graduate Theses, Dissertations, and Problem Reports (ETD)

Historical mining, intensive timber harvesting, agriculture, and atmospheric acid deposition have left lasting impacts on soil health throughout the Central Appalachian region, reducing soil productivity, carbon storage, and ecosystem resilience. This thesis evaluated restoration strategies across two long-term research systems in West Virginia to determine how land-use history and soil amendments influence soil health, carbon dynamics, and ecosystem recovery. The first study examined reclaimed mine lands and marginal agricultural soils planted with switchgrass (Panicum virgatum) or willow (Salix spp.) and treated with biochar or inorganic fertilizer. Soil greenhouse gas production, aggregate stability, total soil C:N, pH, and soil organic matter …

Racial Resentment, Immigration Attitudes, And The Politics Of State Immigrant Policy Adoption In The United States, Cindy Osei Agyemang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Immigration remains one of the most contested public policy issues in the United States, and racial attitudes have become increasingly important in shaping public opinion and political debate. While prior research has shown a strong relationship between racial resentment and restrictive immigration attitudes, less is known about whether these attitudes extend to legislative discourse and the adoption of immigrant-inclusive state policies. This dissertation addresses that gap by examining the relationship between racial resentment and immigration politics across three levels of analysis: public opinion, legislative discourse, and state policy adoption. Using a mixed-methods research design, the study combines quantitative and qualitative …

Genetics Of Mycangial Development And Host Colonization Within The Ambrosia Symbiosis, Mckeon James Laws

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ambrosia beetles, a polyphyletic group of weevils, utilize pouch-like structures at various locations on the body to transport for their sole food source, their fungal partner. Ambrosia fungi are known to originate from multiple unrelated fungal lineages with no consensus of traits required to become a fungal cultivar. While the biology and ecology of both partners is in many cases well understood, the genetic underpinnings of this fascinating mutualism remain a mystery. The aim of this dissertation is to add to the understanding of the ambrosia symbiosis by providing insights into its molecular and genetic underpinnings through RNA sequencing data, …

The Tax Governance Triangle: An Attitudinal Theory Of State Capacity And Tax Compliance., Abdul Wahid Uqaily

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Tax Governance Triangle: An Attitudinal Theory of State Capacity and Tax Compliance

Abdul Wahid Uqaily

Variation in states' extractive capacity is a central puzzle in comparative politics and political economy. Existing scholarship explains this variation largely through institutional quality, administrative capability, or coercive enforcement, with less attention to the attitudinal foundations that shape key actors' willingness to sustain an effective fiscal system. This dissertation addresses that gap by asking: how do the attitudes and behaviors of citizens, bureaucrats, and elites shape variation in a state's extractive capacity?

To answer this question, the dissertation develops the “Tax Governance Triangle” and …

Dielectrophoretic Biomarkers For Cancer Detection And Cell Analysis: Integrating Microfluidics And Ai, Raphael Olumide Oladokun

Graduate Theses, Dissertations, and Problem Reports (ETD)

Pancreatic ductal adenocarcinoma (PDAC) carries a five-year survival rate of 13%, driven largely by late-stage diagnosis and the absence of sensitive noninvasive screening tools. Current diagnostic methods lack the sensitivity to detect disease-associated systemic changes at early and precancerous stages, representing a critical clinical gap. This dissertation addresses the central hypothesis that PDAC and its pathological subtypes induce measurable, disease-associated electrophysiological changes in circulating PBMCs that can serve as correlative liquid-biopsy biomarkers. To test this hypothesis, this work asks: can dielectrophoresis (DEP), impedance and zeta potential analysis with AI-assisted classification distinguish benign pancreatic conditions (non-malignant control), precancerous lesions (primarily IPMNs), …

Multimodal Representation Learning For Face Understanding: From Caption Supervision To Foundation Model Adaptation, Md Mahedi Hasan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The rapid advancement of intelligent surveillance systems and the increasing demand for reliable biometric identification in border security, public safety, and digital forensics require robust face understanding under unconstrained conditions, including low resolution, pose variation, and occlusion. While Vision Transformer (ViT)-based foundation models have greatly improved visual representation learning, their patch-based tokenization and lack of spatial inductive bias limit their ability to capture fine-grained details in low-resolution inputs. This dissertation investigates multimodal representation learning for face understanding through natural language supervision, large-scale face-caption pre-training, and parameter-efficient foundation model adaptation. It hypothesizes that textual supervision provides complementary semantic cues that improve …

Multi-Timescale Monitoring And Modeling For Resilient Smart Grids: Pmu Anomaly Detection And Battery Digital Twins, Muhammad Imran Hossain

Graduate Theses, Dissertations, and Problem Reports (ETD)

Modern power systems face failures at very different timescales. Cyber-physical disturbances may emerge within seconds, while battery degradation develops over hundreds of operating cycles. Both monitoring problems share the same underlying difficulty: power systems produce measurement data in abundance, but reliably labeled examples of abnormal or degraded operation are scarce. Rare grid events are difficult to label, and battery degradation data are heterogeneous across cells, cycling protocols, and chemistries. This thesis addresses these challenges through two complementary domain-informed learning frameworks that constrain representation learning using information specific to each physical problem.

First, at the system level, T-BiGAN, a Transformer-augmented bidirectional …

Influences Of Response Rate And Distribution On Accuracy Estimates: The Value Of Replications Based On Analytic Approach, Olivia Brianne Harvey

Graduate Theses, Dissertations, and Problem Reports (ETD)

Accurate observational data are essential for drawing correct conclusions about behavioral phenomena and ensuring the replicability of research findings. Accuracy is the extent to which an observer’s recorded responses correspond with true values (i.e., the actual occurrence of behavioral events). Correspondence is quantified using one of several percentage-based algorithms. However, these accuracy estimates may be influenced by characteristics of the data, such as response rate and response distribution, as well as the algorithm used to calculate them. The purpose of this dissertation was to evaluate how response rate, response distribution, and the algorithm used to evaluate accuracy influences estimates. Across …

Global Weak Solutions Of Optical Variational Wave System, Shahrazad Hamed Alnafie

Graduate Theses, Dissertations, and Problem Reports (ETD)

The coupling of a variational wave equation with Maxwell’s equations gives rise to the optical variational wave system, a hyperbolic PDE system that models the director field of the nematic liquid crystals. This system presents unique analytical challenges that have not been addressed in the existing literature. In this dissertation, we study the one-dimensional case of this system.

We establish the global existence of conservative weak solutions to the associated Cauchy problem. The hyperbolic system is derived using the energy variational method. Through a sequence of suitable coordinate transformations, we reformulate the system while preserving its hyperbolicity. Due to degeneracy …

Exploring Chinese Students’ Lived Experiences And Perceived Development In A Structured Cross-Cultural International Collaborative Degree Program: A Qualitative Case Study In The Context Of The Wvu–Tufe 3+1 Collaborative Program, Zhongmin Zhao

Graduate Theses, Dissertations, and Problem Reports (ETD)

The purpose of this qualitative case study is to examine the lived experiences and perceived development of Chinese students within the structured 3+1 cross-cultural international collaborative program. Grounded in Schlossberg’s Transition Theory and Chickering’s Seven Vectors of Identity Development Framework and guided by the four theoretical propositions, this study explores how the Chinese students experience the challenging transition from their home institution to the host institution, how the students participating in the program perceive their developmental growth across multiple developmental dimensions, and how the students perceive the program structures and institutional practices as supporting or hindering their development.

Data were …

Conservative Discourse: How It Shapes And Is Shaped By Social Studies Education In West Virginia, Elizabeth Christine Rexroad

Graduate Theses, Dissertations, and Problem Reports (ETD)

This narrative inquiry dissertation investigates how conservative Discourse both shapes and is shaped by social studies teacher identity, agency, and the figured world of social studies education in West Virginia. Drawing on the storied lives of three early-career secondary social studies teachers, this study examines how conservative Discourse operates as a structuring force in the daily lives and practices of teachers working in an exceptionally conservative political and social landscape. Using Critical Narrative Analysis (Souto-Manning, 2014) and discourse analysis (Gee, 2014) as analytical frameworks, and figured worlds theory (Holland et al., 1998) as theoretical lens, this study reveals how conservative …

Ai-Based Smart Proxy Models For Flow Assurance, Integrating Oil Rate Prediction, Pipeline Monitoring, And Leak Detection, Ali Sajedian

Graduate Theses, Dissertations, and Problem Reports (ETD)

Oil and gas pipeline networks operate under complex multiphase flow conditions and dynamic transient regimes that present significant challenges for traditional monitoring, anomaly detection, and operational decision-making methodologies. Many existing monitoring approaches rely on high-fidelity physics-based transient flow simulations to accurately represent system behavior. However, these models are computationally intensive and therefore difficult to implement in real-time operational environments.

This dissertation presents a physics-guided artificial intelligence framework for intelligent pipeline monitoring and integrity management based on the concept of Smart Proxy Modeling. By integrating first principles engineering knowledge with machine learning techniques, the proposed framework develops computationally efficient surrogate models …