Digital Commons Network^™

Teaming With Technology: Adaptive Automation In Joint Cognitive Systems For Industry 5.0, Jessica Johnson

Virginia Digital Maritime Center (VDMC) Faculty Publications

Adaptive automation enables dynamic reallocation of functions between people and autonomous agents to improve performance in complex work. This paper presents a meta-analysis of experimental and quasi-experimental studies (2000-2025) on joint cognitive systems in industrially relevant contexts, quantifying effects on task performance, safety/failure management, workload, trust, and learning. Across studies, adaptive automation reliably reduces operator workload and shows moderate gains in task performance and safety, with healthier trust dynamics when adaptations are triggered by human-state or event cues, made transparent to the user, and remain rapidly overridable. Risks emerge when performance-triggered switching is opaque or poorly timed, which can erode …

The Influence Of Japanese Art And Aesthetics On The Paintings Of Théodore Rousseau, Erinn Alexis Stuart

Graduate Research Theses & Dissertations

Landscape paintings of Barbizon painter Théodore Rousseau provide a unique perspective on the impact of Japanese artworks on nineteenth-century French painting. The examination of Eastern influences on Western art has been confined to Western urban popular culture, resulting in a narrative that restricts the understanding of modern art to the context of Western industrialization. This method of exploring cultural influences constructs a narrative of othering, confining the perception of its impact to the superficial and commercial, thus perpetuating an othering subnarrative, not only between the two nations but also between the different genres of Western art. Through an investigation into …

Credit Card Fraud Detection Via Model Retraining And Fine-Tuning, Anamol Khadka

Computer Science and Engineering Student Research - Archive

Credit card fraud detection is a critical task in financial systems, especially given the rarity and evolving nature of the fraudulent behavior. The highly imbalanced class levels of the fraudulent and non-fraudulent transactions make it a challenging classification problem to solve. This study investigates the effectiveness of machine learning models: Logistic Regression, XGBoost, and Multi-Layer Perceptron (Neural Network), evaluated under temporal retraining and fine-tuning scenarios using a publicly available, highly imbalanced dataset of European credit card transactions. The dataset includes 284,807 transactions, of which only 492 (0.172%) are labeled as fraudulent, making it a well-known example of an imbalanced classification …

Comparative Evaluation Of Traditional Machine Learning And Deep Cnn Models For Static Hand Gesture Recognition, Anamol Khadka, Prit Desai

Computer Science and Engineering Student Research - Archive

Hand gesture recognition plays a vital role in facilitating natural and intuitive human-computer interaction, with applications ranging from sign language translation to touchless control systems. This study presents a comparative evaluation of traditional machine learning models and a deep convolutional neural network (CNN) for static hand gesture classification. The experimental dataset comprises 24,000 training images and 6,000 testing images, spanning 20 gesture classes. Traditional models, including k-Nearest Neighbors (KNN) and Support Vector Machines (SVM), utilize handcrafted features such as convex hull, convexity defects, and Hu moments. In contrast, the deep learning approach fine-tunes a ResNet18 architecture to learn features directly …

A Random Walk Simulation Of Positron Annihilation Depth As A Function Of Positron Beam Energy, Saniya Anjum Aqeel Ahmed Yadgeer

Physics Theses - Archive

Depth resolved defect and chemical characterization studies using positron annihilation spectroscopy depend on the ability to estimate the fraction of positrons annihilating at surface, in the bulk, at defects or as Positronium. The depth resolution is limited by the implantation profile of the energetic positrons and the diffusion of the thermalized positrons. Here we implement a random walk simulation as described in S. Eichler et al. [1] to track the monoenergetic positrons implanted into multilayer graphene on Cu. For our simulations the implantation depths were sampled from a Makhovian distribution that has been shown to accurately represent the implantation profile …

Sin, Sickness, Or Self-Defense? How Medicalizing Women’S Acts Of Survival Confounds Justification And Excuse, And Undermines Justice, Jordan Robinson

UIC Law Review

No abstract provided.

The Shadow Of Exceptionalism: Morality, Pragmatism, And Covert Action In American Cold War Foreign Policy, Kyle Stacy

History Theses - Archive

The complex forces of national identity, economic ambition, and ideological justification created a dynamic and contested landscape that shaped America’s Cold War policies. A carefully curated useful past, bolstered by religious convictions, fostered a belief in American exceptionalism and moral leadership that provided both the impetus and justification for 11 America’s actions abroad. Yet, America’s stated ideals—freedom and democracy—existed in stark tension with the pursuit of its national interests, often clashing with its self-perceived moral superiority. The Cold War environment fostered a culture of secrecy within the highest levels of government. Here, transparency and accountability were readily sacrificed for strategic …

Menstrual Cycle Variations In Ultrasound And Biomechanical Risk Factors For Acl Injury In Adolescent Female Athletes, Jessica Garcia

Kinesiology Dissertations - Archive

Anterior cruciate ligament (ACL) injuries are a significant concern in adolescent female athletes, with rates consistently higher than their male peers. This disparity is attributed to a complex combination of anatomical, hormonal, and neuromuscular factors that elevate injury risk while performing dynamic movements common in running and cutting sports such as soccer, basketball, lacrosse, and volleyball. Knee laxity has been identified as a potential risk factor, yet current measurement tools lack the sensitivity, reliability, and validity needed for practical application. Additionally, fluctuating sex hormones throughout the menstrual cycle (MC) have been implicated in changes to ligament properties and neuromuscular control, …

The Effects Of Speed, Grade And Footwear On Knee Adduction Moment And Tibial Shock, Alexis C. Gant

Kinesiology Dissertations - Archive

Knee osteoarthritis (OA) is a degenerative joint disease characterized by progressive cartilage deterioration, chronic pain, and reduced mobility. Alterations in gait mechanics, particularly increased knee adduction moment (KAM) and tibial shock, are strongly associated with OA onset and progression. These biomechanical markers reflect abnormal joint loading and provide valuable insights for developing non-invasive interventions. This dissertation investigates how modifiable external factors, specifically walking slope, footwear type, and walking speed, influence knee joint loading patterns. The goal is to inform rehabilitation strategies that can decrease joint stress, alleviate symptoms, and slow disease progression.

Study 1 examines the effects of walking slope …

Force Matters: An Exploration Of Manual Therapies Effects On Passive Tension Properties Of The Lower Extremity., Loran D. Wade Jr

Kinesiology Dissertations - Archive

Musculoskeletal dysfunction is a leading cause of pain, functional limitation, and disability worldwide, necessitating the exploration of non-invasive therapeutic strategies. Manual therapy, which encompasses massage, stretching, and instrument-assisted soft tissue mobilization (IASTM), has long been used to address musculoskeletal dysfunction, yet its mechanisms of action and clinical efficacy remain inconsistently defined within the literature. This paper provides a comprehensive review of the historical foundations, physiological effects, and current applications of manual therapy techniques in the treatment of musculoskeletal disorders. Emphasis is placed on how these interventions influence key musculoskeletal properties, including tissue stiffness, joint range of motion, neuromuscular function, and …

Impact Of Climate Change On North Central Texas, Diana K. T. Hansen

Earth & Environmental Sciences Dissertations - Archive

ABSTRACT

IMPACT OF CLIMATE CHANGE ON

NORTH CENTRAL TEXAS

Diana Kay Thomas Hansen, Ph.D.

The University of Texas at Arlington, 2025

Supervising Professor: Arne M.E. Winguth

The North Central Texas region is a rapidly expanding metropolitan area. One of the largest climate hazards that will affect human health in this region are extended heat waves and heavy precipitation. This study will examine how these hazards will change in response to climate change and the impact to human health due to weather extremes in a changing climate.

Coupled Model Intercomparison Project (Phase 6) simulations were used to evaluate future projected temperature …

The Role Of Sodium Butyrate As An Inflammatory Regulator And Its Effect On Long Noncoding Rnas In Neuroinflammation, Angel Covarrubias

Chemistry & Biochemistry Theses - Archive

Inflammation is a crucial homeostatic process that contributes to both the elimination of foreign invaders and tissue repair. Inflammation at sites of tissue injury or infection is initiated by the detection of a harmful stimulus, triggering vital inflammatory immune signaling pathways and a cascade of cytokines and inflammatory mediators. The dysregulation of this process, however, can result in inappropriate inflammatory responses manifesting in tissue damage and compromised cell function. Dysregulation of the inflammatory response is seen frequently in many human diseases such as Diabetes, Cancer, cardiovascular disease, and neurodegenerative diseases.

In the context of the Central Nervous system, inflammation is …

Kinetic Analysis Of A Carbon-Rich Sico Model System, Takhya Holley

Chemistry & Biochemistry Theses - Archive

Kinetic Analysis of a Silicon Oxycarbide (polymethylhydrosiloxane/divinylbenzene) material was done for meaning of kinetic analysis methodology development. The material was synthesized using the standard procedure from, Blum 2005. A series of TGA’s was done using non-isothermal experiments. The analysis involved an initial isoconversional analysis using Friedman method, then decomposition of processes into individual processes using the Fraser-Suzuki function. The validation agreed within 1%, which is permissible by the ICTAC recommendations. The activation energies of the individual processes were determined using the Friedman method.The pre-dominant process #2 was found to have an activation energy of 220 +- 20 kj/mol and first-order …

Estimating Vapor Pressures Of Pheromone Compounds Using Gas Chromatographic Retention, Bipasha Sarker

Chemistry & Biochemistry Theses - Archive

Accurate determination of the vapor pressures of organic materials is important for predicting the sample’s environmental impact. It is difficult to directly measure accurate and precise vapor pressures of chemical compounds with direct experimental methods. Thus, indirect or predictive models for estimating vapor pressures are used. In this study, we follow a gas−liquid chromatography (GLC)-based approach, where retention data is correlated with vapor pressure using multiple reference standards. The method (GLC-RTyS) requires temperature-dependent retention factors (k-values) for test compounds and reference standards with known vapor pressures at matching temperatures. It has been observed that reference standards selected according to functional …

Evaluation Of Electric Vehicle Batteries For Enabling High Power Loads, Maxton K. Manker

Electrical Engineering Theses - Archive

The growing demand for high-power energy storage systems in applications such as artificial intelligence (AI) data centers, industrial backup systems, and grid-level stabilization efforts presents new challenges in technology selection. These loads have a uniquely high continuous or transient power demand that can impact the stability of the electric grid. To mitigate these challenges, energy storage in the form of batteries or supercapacitors has been proposed either as stand-alone or as intelligently controlled grid buffering sources. These same types of energy storage are commonly found in electric vehicles (EV) where they must respond to abrupt throttle and braking behavior, similar …

Smart Irrigation System Using Iot And Lstm For Optimal Water Management, Farley Y. Ruiz

Electrical Engineering Theses - Archive

This thesis presents the design and implementation of a smart irrigation system that combines Internet of Things hardware with a Long Short-Term Memory (LSTM) neural network for predictive soil moisture management. The goal is an affordable and reliable solution that uses real-time sensor data and environmental data to schedule irrigation before the substrate moisture drops below its target range. The system integrates soil moisture, temperature, humidity, and sensors on an Arduino Nano that communicates wirelessly with a Raspberry Pi. The Raspberry Pi runs a Python/Flask backend that collects and processes data, executes the LSTM model, and serves a secure web …

Power Quality Event Diagnosis Using Multi-Rate Neural Networks, Jordan D. Lloyd

Electrical Engineering Theses - Archive

Power quality disturbances (PQDs) are among the primary challenges facing modern electrical systems, as they degrade the performance and lifespan of connected equipment. This thesis investigates the relationship between the rate at which voltage waveform data are sampled, the reliability of these measurements, and the ability of deep neural networks to classify PQDs accurately. A one-dimensional convolutional neural network (CNN) was trained and evaluated across multiple sampling rates and signal-to-noise ratios to quantify how information loss in the temporal and spectral domains affects classification reliability. The results demonstrate that model accuracy degrades nonlinearly as sampling rate and signal-to-noise ratio (SNR) …

Understanding Misinformation On Social Media Through Truthfulness Stance, Zhengyuan Zhu

Computer Science and Engineering Dissertations - Archive

Misinformation on social media has become a pervasive issue that profoundly influences public opinion and decision-making. As false or misleading claims circulate widely online, there is a critical need for analytical tools to understand how people react to such claims. This dissertation introduces the concept of truthfulness stance as a key lens for social sensing. In essence, truthfulness stance assesses whether a textual utterance believes a factual claim to be true, false, or expresses a neutral stance or no stance toward the claim. Leveraging stance in this manner fills an important gap in misinformation research: it enables us to gauge …

Small Farms And Climate Change: Accomplishing Sdgs 2 And 13 By Supporting Food Sovereignty, Taylor Jeanfreau

Lex Specialis

United Nations member states have fallen woefully short on progress in accomplishing the Sustainable Development Goals (SDGs), and more urgent action is needed to combat the effects of climate change. International promotion of food sovereignty—an ideology that encourages localized, environmentally friendly food production— would help with the accomplishment of the SDGs, particularly goals 2 (ending world hunger and achieving food security) and 13 (combating climate change). This paper surveys the history of food sovereignty and explores the ways in which the concept supports SDGs 2 and 13, examining its production and environmental benefits as they relate to these specific goals. …

Unveiling Injustice: The Rule Of Law And Indigenous Rights In Guatemala -- A New Haven Perspective, John Mendez

Lex Specialis

No abstract provided.

Office Of Grants And Research Services Awards 2024-2025, Office Of Grants And Research Services, Seton Hall University

Office of Grants and Research Annual Reports

No abstract provided.

Office Of Grants And Research Services Submissions 2024-2025, Office Of Grants And Research Services, Seton Hall University

Office of Grants and Research Annual Reports

No abstract provided.

Better Together: Improving Youth Mental Health Through Dv Intervention, Melanie Alvarez, Rajan Bell, Katie Lopez Vasquez, Caleb Oppong, Zori Cooper

DC Health and Academic Prep Program (DC HAPP)

Domestic Violence, forms of abuse that occur at home, significantly and negatively impacts the long-term physical, emotional, and mental health of those who experience and witness it. Child victims face a harder time coping with their trauma as they lack access to supportive resources, the autonomy to utilize those resources, and not knowing there are available support systems in the first place. And in socio-economically disadvantaged areas in D.C. like Wards 7 & 8, the gap in access is even greater. To address this disparity, we’ve developed Better Together: a peer mentorship program focusing on supporting child victims of domestic …

Returning To School After A Pandemic And The Lived Experiences Of 9-12 Grade Athletic Coaches On Student-Athlete Success, Louie Vallejo

Dissertations

Purpose: This phenomenological examination examines ninth-12th grade athletic coaches’ perceptions of the impact on athletes returning to athletic competition after being online during the pandemic for 2 years with regard to behavior, athletic achievement, attitude, and social connections.

Methodology: This qualitative study interviewed athletic coaches in the Tri-County Athletic Conference in Central California. Semi structured open-ended interview questions were the main source of data collection. Data were coded and the researcher analyzed the data for themes and patterns, and the results were validated through the interrater process by an experienced researcher.

Findings: After analyzing data, codes, and themes, the researcher …

President Eisenhower’S Farewell Address, Is Hindsight 20/20?, Max Seldon Winslow

Communication 300 Papers

While less famous than MLK's “I have a dream” speech or George Bush's “Axis of evil” speech, Dwight D. Eisenhower's farewell address stands as an equally important part of American speech history. Eisenhower’s farewell address holds great significance in terms of 20th-century American political development, from its direct appeal to the people in regard to the all-but prophetic prediction of the rise of the military industrial complex, to its standing as a “Last Hurrah” of small government traditional American conservatism. The United States may have changed entirely, yet Eisenhower’s farewell address stands in time as an unheeded warning to the …

Investigating Woody Vegetation Recruitment Post Riparian Enhancement Extraction Along The Baduwa't, Rize Martins De Oliveira, Wiley Hughes, Owen Lenox

Forestry, Fire, & Rangeland Management Senior Capstones

The Baduwa’t River in Humboldt County, California, faces a legacy of channelization, poor land management, and severe flooding that has left high, dry floodplain terraces disconnected from the river and dominated by invasive vegetation. In response to sediment deficits during drought years, Riparian Enhancement Extractions (REEs) were introduced as an alternative gravel mining method that simultaneously presented opportunities for habitat restoration. This study evaluates five REEs along the Baduwa’t to identify the construction features and site conditions that promote successful riparian vegetation establishment. Findings show that REEs can create seasonal wetlands conducive to native riparian habitat reestablishment, when excavation is …

Assessing Understory Along The Elk River (Hikshari') In Headwaters Forest Reserve, Humboldt County, California, Julie R. Meyers, Aliyah M. Ingram, Caleb N. Larkin, Joshua L. Carpenter

Environmental Science & Management Senior Capstones

Northern California’s extensive logging history and lack of forest management has altered old-growth coast redwood (Sequoia sempervirens) forests, leaving dense, homogenous second and third-growth forest stands. This has led to the use of modern restoration techniques such as variable density thinning (VDT) which aims to rehabilitate old-growth forest conditions by improving stand heterogeneity and light availability for understory species. Our study was done in Headwaters Forest Reserve (HFR) along the Elk River (Hikshari’) Trail in Humboldt County, California. Initially, the project was supervised by the Bureau of Land Management (BLM) Arcata Field Office. However, the 2025 U.S. government …

Restoration Plan For A Seasonal Wetland In Fortuna, Ca, Samuel Webb, Jack Mccann, Cody Swabash, Bryan Randolph

Environmental Science & Management Senior Capstones

This paper outlines the initial phase of planning for a seasonal wetland restoration on private property in Fortuna CA. It includes a site description, general background information, the methods we used to create our 30% plan, and a discussion of challenges and possible next steps of the project. Our plan consists of a revegetation plan that has the goals of the landowner and environment in mind, and includes our methods for planning revegetation in a seasonal wetland, our design, as well as suggestions for additional restoration design elements.

Ecological Assessment And Restoration Strategy For The Riparian Wetlands Of Woody Ryno Farms, Bee Krstich, Ethan Michael Gilmore, Kai Jeremy Hensley, Nicolas Augusto Yanez, Vanessa Luis

Environmental Science & Management Senior Capstones

Woody Ryno Farms is situated in McKinleyville, Humboldt County, California. The surrounding area is a mosaic of farmland, homes, and wetlands. This project aims to gather information about the health and species composition of the wetlands on Woody Ryno Farms. A step-point method was used to collect data on species composition along 16 m transects at 2 m intervals; all plants within a 1 m radius were identified and documented. Following data collection, we used Excel to analyze data based on several factors, including transect number, plants identified to the lowest taxonomic level, and native versus invasive taxa. Statistical analysis …

Restoring Riparian Health And Cultural Resources Along School Creek, A Baduwa’T Tributary, At Blue Lake Rancheria, Humboldt County, Ca, Karlie G. Hall, Fern W. Mcbride, Natalie R. Christenson, Olivia C. Brock, Emily A. King

Environmental Science & Management Senior Capstones

Riparian corridors are essential components of the landscape, supporting healthy streams and surrounding habitats by stabilizing banks, retaining water, and regulating stream temperatures. Indigenous peoples have stewarded these environments since time immemorial, cultivating deep relationships with the land and its culturally significant plants. Their continued ability to practice, transmit, and sustain this knowledge is vital not only for maintaining Traditional Ecological Knowledge (TEK) but also for fostering resilient and healthy ecosystems. The purpose of this project was to revegetate a riparian area of School Creek with culturally significant plants. School Creek is a tributary in the Baduwa’t watershed at Blue …