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White Lies Of Time: Temporal Racialization In 19th-20th Century American Literature, Yu Uchida

Graduate Theses, Dissertations, and Problem Reports (ETD)

By examining mid-nineteenth to mid-twentieth century American literary texts, this dissertation project aims to theorize the ways in which whiteness relies on conceptualizations of time to hegemonize non-white subjects and prescribe their historical representations. Because whiteness is dynamic in its emergence and effects and ubiquitous in sociopolitical and cultural realms, this dissertation holistically turns to white, Black, and Indigenous writers to delineate how whiteness functions throughout the period and how racialized subjects negotiate it. Portraying the nation’s history as lived experience rather than objectified knowledge, the racialized authors I examine undermine the concept of linear progressive time that subtends structural …

High-Resolution Laser Diagnostics For Ion Measurements In Magnetized Plasmas, Katey Stevenson

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this work, we investigate ion heating in two plasma systems (helicon plasmas and flux rope plasmas) using the PHAse Space MApping (PHASMA) experiment. Our studies rely on high-resolution laser diagnostics, specifically laser-induced fluorescence (LIF), to measure ion velocity distribution functions (IVDFs). The temperature and bulk flow of each species are inferred from their respective VDFs. This dissertation is organized into three main parts: the study of ion heating in helicon plasmas, pulsed LIF modeling and diagnostic development, and the study of ion heating in flux rope plasmas. Helicon plasma sources efficiently generate high-density plasmas and are widely used to …

Three Essays On Option Markets, Fangzheng Ou

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation includes three essays examining index option and stock option markets. The first essay investigates the pricing kernel puzzle by examining S&P 500 index option returns and empirical pricing kernels across expiration dates ranging from one month to one year. We document that at short maturities, out-of-the-money call option returns are negative and decrease with the strike price, while at long maturities, at least some are positive and increase with the strike price. Empirical pricing kernels predominantly exhibit a W-shape at short maturities, with this pattern becoming less pronounced and evolving toward a monotonically decreasing curve at longer maturities. …

A Fine-Scale Genomic Study Of Cheat Mountain Salamanders (Plethodon Nettingi) On Managed Public Land, Amylynn Nicole Ephraim

Graduate Theses, Dissertations, and Problem Reports (ETD)

Habitat fragmentation has the potential to isolate localized populations, particularly those which are understood to have limited dispersal capabilities. This isolation can reduce genetic diversity through the effects of inbreeding depression, and small populations are more susceptible to the impacts of genetic drift. In this study, I aim to understand the level of genetic connectivity between known occupied patches of Cheat Mountain salamanders (Plethodon nettingi; CMS) on managed public land. CMS are a federally threatened, high-elevation, West Virginia endemic species associated with red spruce (Picea rubens) forests. I used double-digest restriction site associated DNA (ddRAD) sequencing …

The Impact Of Ai Service Workers On Opportunistic Complaint Behavior, Chelsi J. Baker

Graduate Theses, Dissertations, and Problem Reports (ETD)

Consumer complaint behavior research has traditionally focused on interactions between customers and human employees, leaving open questions about how these behaviors may change when the service agent is artificial intelligence. This research looks at whether customers are more likely to engage in opportunistic complaint behavior when interacting with AI service agents and explores what might explain that behavior. The results show that customers are more likely to behave opportunistically when interacting with AI service agents than with human employees. Perceived morality helps explain this relationship, as more human-like service agents increase the extent to which exaggerating a complaint is seen …

Congolese Journalists: Professional Identity And Legitimacy, Hannah L. Heiskell

Graduate Theses, Dissertations, and Problem Reports (ETD)

This paper examines how Congolese journalists construct their professional identity

and legitimacy while working under conditions of conflict and state pressure, and how

international media outlets discursively represent them through Western journalistic norms.

Addressing previous research and centering local perspectives, this study uses critical

discourse analysis to compare language, framing, and narratives across Congolese and

international media texts, and the works in which they produce. Attention is given to how

agency, professionalism, and constraint are represented within each discourse. The analysis

focuses on metajournalistic discourse, or journalism talking about journalism, to examine

how professional norms and boundaries are articulated and …

A Scalable Distillation And Metric-Learning Pipeline For Adaptive Weed Classification On Edge Devices, Abderrezak Allalen, Omar El-Gayar

Research & Publications

Smart agriculture increasingly relies on automated weed detection to reduce inputs and labor. Deploying deep learning on edge devices is difficult due to limited compute and evolving weed classes. We propose a pipeline that combines partial fine-tuning of an EfficientNet-B7 teacher, embedding level distillation into lightweight students (MobileNetV3, ShuffleNetV2, EfficientNet-B0), and semi-hard triplet metric learning. The system learns 2048D embeddings and is evaluated with N-way/K-shot episodes to mimic a few-label condition. Dynamic INT8 quantization enables CPU-only inference with minimal accuracy loss. The approach adapts rapidly to novel species with few labels while meeting real-time edge constraints, supporting sustainable herbicide management …

Genai–Supported Python Programming Education: A Design Science Research Approach, Sunny Sun, Omar El-Gayar

Research & Publications

The growing use of GenAI tools in programming education raises concerns about student over-reliance and the potential adverse impact on the development of foundational skills. This research-in-progress adopts a Design Science Research (DSR) approach to propose the GRE Model, a pedagogical artifact for Python programming education. The model structures learning into seven modules aligned with Bloom’s Taxonomy and integrates AI-supported guidance, reflective practice, and evaluation. The paper contributes a design-oriented framework that supports the responsible integration of GenAI while promoting critical thinking, engagement, and core programming competencies.

Agentic Ai As A System Within Systems: A Process Model Of Organizational Embedding., Aravindh Sekar, Deb Tech

Research & Publications

The emergence of Agentic AI systems is reshaping organizational processes through continuous adaptation, autonomous coordination, and real-time operational execution. Unlike traditional artificial intelligence applications focused on discrete decision-making tasks, Agentic AI systems operate continuously and interact dynamically with organizational environments. Existing AI ethics literature has primarily emphasized issues such as fairness, bias, transparency, and accountability within static or decision-centric AI contexts. Similarly, traditional AI alignment research has largely focused on ensuring that AI systems pursue intended goals and remain controllable under specified operational conditions. However, these approaches may be insufficient for explaining how ethical risks evolve with continuously operating autonomous …

Design, Optimization, And Techno-Economic Analysis Of A Standalone Pv-Wind-Battery Microgrid For A Remote Load In Kurdistan Region Of Iraq, Harwan Mohammed Taha, Laith Akram Mohammed

Mansoura Engineering Journal

Standalone microgrids play a crucial role in rural areas where grid electricity delivery is difficult and expensive. This research verifies the effectiveness of a standalone microgrid in a rugged area, Pers Mountain in Akre district, Duhok governorate, Iraqi Kurdistan. A first hybrid renewable energy system (HRES)-based standalone microgrid is presented to supply a remote load. Solar and wind energy are employed for their reliability, sustainability, and abundance, with battery storage ensuring continuous power when solar and wind are unavailable. Simulation results demonstrate reliable power supply during summer months (loss of power supply probability < 5%), with the system operating across three modes — PV-dominant daytime, combined wind-battery evening, and battery-discharge nighttime. The inverter achieved minimum total harmonic distortion of 1.53% for both current and voltage outputs, below the IEEE 519 limit. A full-year hourly particle swarm optimization (PSO) sizing analysis assessed annual reliability and each source's economic contribution: the original fixed sizing yields an annual loss of power supply probability (LPSP) of 26.80% (expected energy not served ~1,471 kWh/year), motivating a PSO-optimized PV-battery configuration achieving annual LPSP of 5% (~274 kWh/year unserved) at comparable cost. The site's wind resource is reasonable (13.8% capacity factor), but the fixed tower and controller cost outweighs its contribution at this small scale. The proposed HRES totals $11,960–$16,317 depending on configuration, approximately 28–38 times lower than grid extension ($455,600) to the site, while producing zero CO₂ emissions and avoiding approximately 4,189 kg/year versus an equivalent HOMER Pro-simulated diesel generator.

Exploring Shared Experiences As Citizen Sport Diplomats: A Collaborative Self-Ethnography, Randall J. Griffiths, Jacob K. Tingle, Angela Breidenstein

School of Business Faculty Research

Research purpose: This study was a critical analysis of the lived experiences of three American university professors who served as volunteer citizen diplomats in a bi-lateral U.S. State Department sport exchange program with North Macedonian volleyball coaches.

Research methods: With the aim of capturing the experience of serving as citizen sport diplomats and making sense of it to inform future practice, this research utilized a collaborative self-ethnography approach. This reflexive approach brings together: (a) analytic autoethnography as individuals themselves are engaged in the ethnography and study, and (b) collective ethnography as a team collects and makes sense of shared data …

Genocide And Politicide: The Psychology Of State Terrorism, Clark Mccauley

Psychology Faculty Research and Scholarship

This chapter reviews the psychologies that enable mass killing of civilians by government (politicide). A typology of perceived threats is advanced, with special attention to contamination threat and essentializing the enemy. Three groups of actors are distinguished: perpetrators, leaders, and the mass public that leaders and actors claim to represent. Predictors of genocide are considered, highlighting the importance of means and opportunity.

Two-Pyramids Model Of Radicalization To Terrorism, Clark Mccauley, Sophia Moskalenko

Psychology Faculty Research and Scholarship

This chapter reviews the origins and developments of the Two-Pyramids Model of radicalization, which distinguishes between the radicalization of opinions and the radicalization of actions. The Radicalization of Action Pyramid categorizes individuals from passive (inert) to those committing terrorist acts, while the Radicalization of Opinion Pyramid progresses from neutrality to a personal moral obligation to act violently for a cause. Empirical studies, including the Activism and Radicalism Intention Scales (ARIS), support the model’s distinction between activism and radicalism as separate dimensions. The chapter highlights the importance of group dynamics, diagnostic and prognostic frames, and the role of public opinion in …

Brainstem Encoding Of Speech In The Extended High Frequencies And Its Behavioral Correlates, Sajana Aryal, Fan-Yin Cheng, Srikanta K. Mishra, Spencer Smith

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Whether the auditory nervous system can extract and use speech information carried in the extended high-frequency (EHF; >8 kHz) range is an unresolved question in auditory neuroscience. Although EHF sensitivity is increasingly recognized as important for speech perception, it is unclear whether EHF hearing is directly or indirectly involved in real-world listening. This study examined brainstem neural encoding of EHF speech components and the relationship between EHF hearing sensitivity and both neural and perceptual speech processing. Envelope following responses (EFRs) to broadband and high-pass filtered (>4 kHz and >8 kHz) speech stimuli, along with digits-in-noise speech recognition thresholds under …

Aac In Schools: How District Infrastructure And At Specialists Shape Implementation Practices, Grace T. Clark, Lesley Rytel, Endever* Corbin, Madison Skibicki, Gabriella Pesantes

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Purpose

Research on barriers to augmentative and alternative communication (AAC) implementation in schools has focused primarily on individual clinician factors rather than district infrastructure. This clinical focus article examined how the presence or absence of a dedicated assistive technology (AT) specialist was associated with differences in AAC implementation and the use of AAC as a Tier 1 support.

Method

Eighteen educators, including AT specialists, SLPs, and a special educator, from 17 U.S. school districts participated in a 75-minute structured Zoom focus group. They rated 11 statements about district AAC practices using a 4-point Likert scale and discussed their responses in …

Building Interprofessional Competency-Based Education Into Graduate Program Clinical Experiences: A Childhood Apraxia Of Speech And Sensory Processing Disorder Case Study Analysis, Kate Nealon, Zahava L. Friedman

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Supporting interprofessional competency-based education requires embedding educational opportunities within coursework and clinical experiences. This education prioritizes student engagement and learning from, with and about other professionals to support collaboration and communication amongst clinicians (CAIE, 2020). While the provision of interprofessional clinical opportunities is recommended, it is challenging to implement effectively in professional and pre-professional settings. Academic settings have the unique ability to provide interprofessional collaborative clinical experiences for students. This pilot study focuses on Speech Language Pathology (SLP) and Occupational Therapy (OT) clinical assessment experiences, specifically in the context of pediatric motor speech and sensory processing disorders. These disorders often …

Injectable Hydrogels For Bone Regeneration: Mechanical Reinforcement Strategies Using Nanoparticles And Nanofibers: Review Paper, Fariba Ganji, Morteza Mirzagoli, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Purpose: The growing demand for bone regeneration following severe injuries highlights the importance of scaffolds in bone tissue engineering (BTE). Injectable hydrogels have emerged as promising candidates because their properties closely mimic the native extracellular matrix (ECM). However, their limited mechanical strength and structural instability restrict their practical application. Approach: This review summarizes recent strategies for reinforcing in situ-forming injectable hydrogels to improve their mechanical performance for bone regeneration. Particular emphasis is placed on nanomaterial-based strategies, including the incorporation of nanoparticles and nanofibers, and their ability to enhance the physical properties of polymeric networks. Key Results: Evidence from …

Digital Twin Technologies For Battery Systems: Advancements, Applications, And Future Directions, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

The relationships among deep learning, edge computing, artificial intelligence (AI), and the most recent advancements in digital twin (DT) technology for battery energy storage systems are discussed in this paper. The study highlights the need for improved cloud-edge coordination, AI model development, and stronger cybersecurity features by demonstrating real-world applications of digital twin technology in electric vehicles (EVs), aircraft, and grid storage. It also described DT-based structures for fault detection, real-time monitoring, and optimization through standardization and battery management system (BMS) fusion. Because DT-based solutions for distributed energy resources (DERs) offer improved energy management systems, various studies have been conducted …

The Gut-Heart Axis: Exploring The Role Of The Gut Microbiome In Cardiovascular Health-A Focused Systematic Review, Yahya Makkieh, Haider Hussain Shah, Sakan Binte Imran, Shadman Mahmood Mahmood Khan Pathan, Anagha Chirayath Saju, Mounica Majooju, Aastha Garg, Tarun Naag, Rabeeul Islam, Cheeranthodika Fahima, Ramsha Ali

Electrical & Computer Engineering Faculty Publications

This focused systematic review examines the role of the gut microbiota in cardiovascular disease (CVD). The review explores mechanisms linking gut dysbiosis with CVD via microbial metabolites such as trimethylamine-Noxide (TMAO) and short-chain fatty acids (SCFAs), which affect inflammation, endothelial function, and lipid metabolism. Interventions including dietary modifications, probiotics, prebiotics, fecal microbiota transplantation, and pharmacological agents such as statins, rifaximin, and empagliflozin are evaluated for their impact on microbial composition and cardiovascular outcomes. Probiotic strains and fiber-rich diets demonstrated modest improvements in blood pressure, lipid profiles, and inflammatory markers. Studies revealed that gut microbiome alterations influence drug metabolism and bleeding …

Interpretable Battery Soh Prediction: A Comparative Interpretability Framework For Multi-Architecture Ml Models, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

This work introduces a unified interpretability-efficiency framework for lithium-ion battery state of health (SOH) prediction using hybrid deep learning architectures. We comparatively analyze four hybrid models: CNN LSTM MultiHead, CNN Feature Extractor LSTM, DNN LSTM, and DNN BiLSTM to disentangle how network topology, feature composition, and computational design influence both predictive fidelity and physical interpretability. By integrating Monte Carlo Shapley (MC Shapley), background occlusion SHAP (BoSHAP), and ablation analysis, we quantify the contribution and robustness of five electrochemical feature groups: time, capacity, voltage, dQ/dV and peaks of dQ/dV from NASA battery dataset. The results reveal a consistent dominance of differential …

Generative Ai-Driven Optimization In Flexible And Reconfigurable Manufacturing Systems, Salah Hammedi, Hicham Chaoui, Lotfi Nabli

Electrical & Computer Engineering Faculty Publications

Flexible and Reconfigurable Manufacturing Systems (FRMSs) are essential for coping with variability in modern production environments; however, efficient scheduling and rapid reconfiguration remain challenging. This paper presents a hybrid optimization framework that integrates Colored Petri Net (CPN) modeling with Generative Artificial Intelligence (GenAI) to enhance scheduling performance and system adaptability. The CPN formalism ensures verifiable modeling of system dynamics, while a transformer-based generative model produces candidate scheduling and reconfiguration strategies. Simulation experiments were conducted under static, dynamic, and adaptive scenarios, including machine breakdowns and dynamic job arrivals. Performance was evaluated using makespan, mean flow time, machine utilization, and reconfiguration latency. …

Effect Of Graphene Oxide On The Upconversion Photoluminescence Behavior Of Er/Yb Co-Doped Pvdf-Go Composite Nanofibers, Saptasree Bose, Jack Ryan Summers, Bhupendra B. Srivastava, Karen Lozano, Victoria Padilla-Gainza

Mechanical Engineering Faculty Publications

Upconversion photoluminescence (UCPL) materials, particularly rare-earth (RE) doped nanoparticles, have garnered significant attention due to their ability to convert near-infrared (NIR) excitation into visible emission, offering benefits such as high photostability, long lifetimes, low autofluorescence, and deep tissue penetration. Among various platforms, polymer-based one-dimensional (1D) nanofibers with in-situ lanthanide doping remain relatively unexplored, despite their superior mechanical flexibility, processability, and potential for improved luminescence performance. In this study, we report the fabrication and UCPL quenching behavior of Er3+/Yb3+ co-doped polyvinylidene difluoride (PVDF) nanofibers incorporated with graphene oxide (GO), synthesized for the first time using the scalable Forcespinning® technique. PVDF, a …

Do Transdiagnostic Factors Predict Emotion Recognition?, Grace L. Wheeler

Graduate Theses, Dissertations, and Problem Reports (ETD)

While emotion recognition deficits have been found in several anxiety and related disorders (e.g., social anxiety, obsessive-compulsive), consistent results have not been established. To clarify the relationship between emotion recognition abilities and anxiety, the current study tested if transdiagnostic factors related to anxiety are predictors of emotion recognition abilities. Data was analyzed from participants (N = 188) recruited via CloudResearch; they completed measures of three transdiagnostic factors related to anxiety (e.g., anxiety sensitivity, intolerance of uncertainty, and rumination), followed by an emotion recognition task. Multiple regression analyses revealed higher levels of anxiety sensitivity predicted worse recognition for anger, disgust, …

Assigning Library E-Books As Textbooks: An Examination Of Collection Development Policies And User Education Practices At Minority-Serving Institutions, Michelle Ehrenpreis

Publications and Research

Assigning library e-books as course textbooks can help to alleviate the financial burden of college for many students. Accordingly, libraries include e-books in their collection development policies and strive to educate users on the availability of these texts via the use of library research guides. Previous studies discuss library collection strategies and intentions to use e-books as textbooks, but do not discuss continuous or permanent plans. This study examined library policies at Hispanic Service Institutions (HSI’s) and Historically Black Colleges and Universities (HBCU’s) to evaluate how these libraries approach and document their acquisitions of library e-books. Research guides at the …

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Misinformation And The Law, Gustavo Ribeiro

Scholarly Articles in Law Reviews & Journals

This Article bridges critical gaps between the growing body of social science research on misinformation and the persistent challenges jurors face in evaluating potentially unreliable evidence in courtrooms. Misinformation—a pervasive issue undermining decision-making in democratic societies—mirrors the difficulties jurors encounter in distinguishing truth from falsehood amid compelling but unreliable evidence. The consequences of such challenges are dire: wrongful convictions, racial disparities, and the erosion of public trust in the legal system.

This Article is the first piece of legal scholarship to provide a comprehensive discussion of current research on the psychological mechanisms underlying susceptibility to misinformation—such as the illusory truth …

The New Neccesity, Ezra Rosser

Scholarly Articles in Law Reviews & Journals

According to the U.S. Supreme Court, cities are free to criminalize homelessness. The 2024 case City of Grants Pass v. Johnson is the most important homelessness case in decades and was a significant blow to advocates for the unhoused. The conservative majority rejected the idea that city ordinances criminalizing sleeping in public amounted to cruel and unusual punishment insofar as they penalized status. There is no sidestepping the loss. But within the faint glow of the embers of the oral argument and of the decision itself, there is the possibility that a new understanding of necessity, supported by the same …

Application Of Organic Geochemistry To The Characterization Of Hydrochar And Biochar: Insights Into Composition And Optimization, Michael A. Kruge, Teresa A. Centeno, Alvaro Amado-Fierro, José Manuel González-Lafuente, Rubén Forján, José Luis Gallego

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Hydrothermal carbonization has garnered significant attention in recent studies due to potential applications of the hydrochar produced, which overlap with those of torrefied biochar, including soil improvement, carbon sequestration, and energy production. However, unlike the relatively uniform properties of biochar, hydrochar characteristics can vary greatly depending on the feedstock used. Advanced characterization techniques are essential to better understand these materials and enhance their practical applications. Research on hydrochar requires a multi-faceted approach, including molecular-level studies, to optimize production processes and identify specific applications.

In this regard, analytical methods commonly used in organic geochemistry could play a crucial role in deepening …

The Influence Of Scale In Modeling Social Vulnerability And Disaster Assistance, Sina Razzaghi Asl, Oronde Drakes, Eric Tate, Samuel Brody, Wesley Highfield, Kayode Atoba

Political Science & Geography Faculty Publications

Understanding how social vulnerability relates to disaster impacts is critical for addressing social equity, yet the role of spatial scale in this relationship is often overlooked. Most studies use aggregated data, risking ecological fallacy-misinterpreting individual outcomes from group-level data. This study examines how spatial scale influences the relationship between social vulnerability and federal disaster assistance after Hurricane Harvey. Using spatial econometric models at both household and census tract levels, we assessed the strength of key vulnerability indicators in explaining disaster assistance. Results show that disability, housing tenure, household size, and income predict assistance at the household level, but their influence …

The Balance Of Power In Ukraine And Deterrence Effectivenes Against Nuclear-Armed Russia, Chick Edmond

Political Science & Geography Faculty Publications

Russia's invasion of Ukraine has raised several significant questions regarding the impact of deterrence, the European balance of power and the ability of current security frameworks to restrict the actions of nuclear-armed revisionist powers. This paper uses an integrated theoretical framework consisting of deterrence theory, the balance of power theory, the security dilemma and neorealism to analyze the dynamic relationships between Russia, Ukraine and the Western alliance. The primary contribution of the paper is to develop a comprehensive analytical framework to evaluate the relationship between different aspects of deterrence (i.e., to prevent an initial attack, to limit further escalation and …