Digital Commons Network^™

Turboindex: Making A Page-Based Db Index Both Memory-Space And Disk-I/O Efficient, Sujit Maharjan, Shuaihua Zhao, Song Jiang

Computer Science and Engineering Faculty Publications - Archive

Traditional Database (DB) systems use a DB buffer, a page-based cache management system, to load data and indexes from block storage devices into byte-addressable main memory. However, this approach is inefficient in terms of space and I/O when key-value pair sizes are significantly smaller than the page size. Inserting a single key-value pair results in reading and writing an entire page, consuming a full page's worth of memory in the buffer. Moreover, the entire page is immediately loaded even when just a single key-value pair is inserted into the page. Also, an infrequently accessed page is likely to be evicted …

2025-11-21 Agenda Book, Morehead State University. Board Of Regents.

Morehead State Board of Regents Agenda Books and Meeting Minutes

Agenda booklet for the Board of Regents meeting of November 21, 2025, which includes the minutes of the meeting held on October 17, 2025 and the agendas of the Audit Committee and AD-HOC Bylaws and Mission Committee meetings held on the same day.

Stars And Shapes: An Investigation Of Stripped Envelope Supernovae Structures Using Spectropolarimetry Observations And Hydrodynamic Models, Sabrina Desoto

Electronic Theses and Dissertations

Supernovae (SNe) are the energetic deaths of massive stars, dispersing heavy elements throughout the galaxies and shaping cosmic evolution across the universe. However, understanding the connections between the evolution of massive stars, their catastrophic demises, and the myriad of observed SNe, remains a fundamental challenge in astrophysics. My work aims to narrow this gap by integrating extensive observational data with advanced hydrodynamical simulations to better interpret SNe observations and understand the origin of their geometry. The observational component utilizes the largest spectropolarimetry dataset of stripped-envelope (SE) core-collapse supernovae (CCSNe) gathered by the SNSPOL project. Analyzing nine Type Ib and eleven …

Mechanisms Of Correlated Neuronal Activity In The Globus Pallidus, Hamza Albawaliz

Electronic Theses and Dissertations

This thesis investigates the mechanisms of correlated neuronal activity in the globus pallidus externus (GPe), a key structure in the basal ganglia. Neuronal activity in the GPe is reportedly decorrelated in healthy subjects but can become highly correlated in Parkinson’s disease. However, high-density neuronal recordings in the GPe of healthy rats reveal a surprising degree of correlated activity. This raises the question of whether intrinsic properties or network connectivity alone can account for such patterns. To explore this, a computational model was developed in which GPe neurons are represented as coupled phase oscillators influenced by experimentally derived phase-response curves and …

Development Of A Non-Faradaic Impedimetric Biosensor Based On Reduced Graphene Oxide For The Detection Of Brain-Derived Neurotrophic Factor (Bdnf), Mariana N. Martins

Electronic Theses and Dissertations

Neurological disorders affect millions of people worldwide. In the case of Alzheimer’s disease (AD), the rising number of cases significantly increases global healthcare costs. Therefore, early detection of biomarkers at the onset of the disease is essential for early diagnosis. This study presents an electrochemical biosensor designed for the detection of Brain-Derived Neurotrophic Factor (BDNF) in human plasma, incorporating reduced graphene oxide (rGO) to enhance signal sensitivity. Dielectrophoresis (DEP) was employed to deposit rGO flakes on the electrode surface, improving conductivity and sensor performance. Electrochemical impedance spectroscopy (EIS) was used to monitor changes in impedance associated with BDNF binding events, …

Frameworks For Repatriation: Moving Beyond Nagpra, Ashley Joplin

Electronic Theses and Dissertations

Museums and similar federally funded educational institutions have been collecting human remains since the Enlightenment era in the 1800s. Since then, these institutions have developed various collections practices that have encouraged the collection of human remains. Often unethical in nature, these collections have harmed historically marginalized communities, such as Indigenous and African American communities. While the ethics of collecting have been under scrutiny for decades, it was not until 1990 under the Native American Graves Protection and Repatriation Act (NAGPRA) that mainstream attention was drawn to the ethics of collections practices.

This thesis explores these collections practices and the repatriation …

High Frequency Dc-Dc Converter Design Optimization, Modeling And Control Based-Wbg Technology., Salah Ahmed Abdullah Eltief

Electronic Theses and Dissertations

The performance of DC-DC power converters is a cornerstone of modern electric vehicle (EV) powertrains, directly governing overall system efficiency, size, cost, and reliability. This dissertation presents a comprehensive performance analysis and optimization of DC-DC converter topologies to determine the most suitable design for high voltage EV applications. The evaluation rigorously compares efficiency, power losses, and physical size under a range of harsh operating conditions. A primary objective is to leverage Wide Bandgap (WBG) semiconductors, specifically Silicon Carbide (SiC), to push the performance boundaries of power conversion. While SiC devices are known for their superior material properties, a clear understanding …

Electronic Structure Prediction Of Medium And High Entropy Alloys Across Composition Space, Shashank Pathrudkar, Stephanie Taylor, Abhishek Keripale, Abhijeet S. Gangan, Ponkrshnan Thiagarajan, Shivang Agarwal, Jaime Marian, Susanta Ghosh, Amartya S. Banerjee

Michigan Tech Publications

We propose machine learning (ML) models to predict the electron density — the fundamental unknown of a material’s ground state — across the composition space of concentrated alloys. From this, other physical properties can be inferred, enabling accelerated exploration. A significant challenge is that the number of descriptors and sampled compositions required for accurate prediction grows rapidly with species. To address this, we employ Bayesian Active Learning (AL), which minimizes training data requirements by leveraging uncertainty quantification capabilities of Bayesian Neural Networks. Compared to the strategic tessellation of the composition space, Bayesian-AL reduces the number of training data points by …

The Digital Economy And Equitable Access To Jobs In The Mountain West, 2023, Isabelle Graham

Undergraduate Research Symposium Lightning Talks

This fact sheet presents data from a Brookings Institution report, “The future of the US digital economy depends on equitable access to jobs,” which compares the share of 2023 employment in highly digital jobs among women and minority groups for select U.S. metropolitan statistical areas (MSAs). This fact sheet reports data for nine Mountain West MSAs: Las Vegas-Henderson-Paradise, NV; Albuquerque, NM; Colorado Springs, CO; Denver-Aurora- Lakewood, CO; Tucson, AZ; Phoenix-Mesa-Chandler, AZ; Salt Lake City, UT; Provo-Orem, UT; and Ogden- Clearfield, UT.

Enhancing Student Success Prediction With Multimodal Machine Learning Models, Senay Berhe

Undergraduate Research Symposium Posters

This project explores how multimodal, fairness-aware machine learning models can enhance early prediction of student success while promoting equity in higher education. Traditional prediction models often rely on static academic or demographic data, which can unintentionally reinforce bias and overlook the complex, behavioral aspects of learning. Our approach integrates engagement metrics from learning management systems, academic performance data, and motivational survey responses to capture a more holistic view of student learning. The predictive framework emphasizes behavioral and psychological features that are both actionable and ethically sound, supporting real-time intervention through the iTOOLS platform. By focusing on engagement consistency and motivational …

Association Between Food Insecurity And Nervous System Disorders In Caddo Parish, La: A Call To Action For Health, Megan Gremillion, Morgan Uebinger, Claire Crosby, Kaitlyn Tholen, Marie Vazquez Morgan, Ammar Husan

Journal of the Louisiana Public Health Association

Background: Food insecurity (FI)–the lack of access to affordable, nutritious food–affects millions of Americans. Caddo Parish, Louisiana, is of interest due to high FI prevalence and socioeconomic risk factors. While FI is known to exacerbate chronic health issues, its association with neurological health remains understudied, especially in high-risk communities. Methods: A cross-sectional study was conducted among adult patients in Caddo Parish in 2022 using Epic Electronic Medical Record data to identify diagnoses of migraine, dementia, and stroke—the top neurological causes of disability-adjusted life years (DALYs) in the United States. FI status was determined using the Hunger Vital Sign screening questionnaire. …

Rail Anomalies Dataset For Semantic Segmentation Analysis, Saarah Majid, Arian Izadi, Paul Stanik

Undergraduate Research Symposium Posters

Rail maintenance is a core necessity of upkeep, maintenance, deterioration, and safety implications of large rail systems. Doing so in an orderly and uniform way, however, has proven difficult with the thousands of miles that railways span. Use of computer vision on locomotives during normal operation can allow for a more streamlined process that would eliminate the need for costly specialized equipment and disruptions of normal operations. This project aims to efficiently detect vegetation overgrowth, mud-pumping, and standing water on railways. With the use of machine learning algorithms and dataset curation, models can be trained, allowing them to gain a …

Unpacking The Role Of Virtual Exchange In Promoting Student Well-Being, Mona Pearl, Kelly Tzoumis, Allison E. Hill, Spencer D. Sutherland

Journal of Comparative & International Higher Education

Educational institutions and workplaces are grappling with the task of promoting the well-being of their students and employees. From 2021 to 2023, students from Brazil, Canada, Hong Kong, Mexico, The Netherlands, and the US participated in virtual exchange collaborations in the form of global virtual teams (GVTs) and were assessed pre (n=201) and post (n=251) their GVTs experience. We used structural equation modeling (SEM) to assess changes in learner well-being from participation in GVTs. Based on the impact to student perceived well-being from the GVT experience, we found important results that can be useful for both employers and academic institutions …

Law School Grows Statewide Network With New 3+3 Partnerships, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – The University of Mississippi School of Law has joined forces with Millsaps College and William Carey University to allow undergraduates from those schools to earn law degrees in less time through the schools' new Accelerated Law School Pathway.

American Institute Of Chemical Engineers Honor Two Unh Researchers, Brooks Payette

UNH Today Archive

No abstract provided.

Non-Invasive Infection Detection Framework: Smartphone-Based Hematologic And Thermal Biomarker Monitoring, Nafi Us Sabbir Sabith

Dissertations (1934 -)

Infectious diseases remain one of the leading global causes of illness and death in both community and hospital settings. Infections lead to lasting health issues, such as life-threatening chronic conditions or even cancer. Early detection is crucial for timely intervention, such as isolation and treatment. Hematology originated from the Greek word haima, meaning blood. It is a unique discipline in medicine that involves the study of blood and its contents. White blood cells (WBC) are at the forefront of the body’s immune system. WBCs are categorized into five main subtypes: neutrophils, lymphocytes, monocytes, eosinophils, and basophils. Monitoring the total WBC …

Design And Validation Of A Bilateral, Multi-Site 3d-Printed Neuronal Implant For Rodent Electrophysiology, Homero Phelps, Jonathan V. Trinidad, Talha Soluoku

Undergraduate Research Symposium Podium Presentations

Neuronal electrophysiology implants are essential tools in neuroscience for recording brain activity and investigating neurological disorders. Our lab’s previous 3D-printed implant designs centered around a single-site, recording platform that was limited in adaptability, precision, and lacked in vivo validation due to lingering engineering malfunctions. To combat limitations and expand recording capabilities, this project aimed to design and validate a new implant capable of multi-site, bilateral recordings across both brain hemispheres, specifically targeting the hippocampus (CA1 and CA3) and anterior cingulate cortex (ACC), regions critical for learning and memory. Building on the Open Ephys ShuttleDrive model, the implant was redesigned using …

Simulation Of Fluid Flow Based On Navier Stokes Equations, Ricardo Marquez, Javier Perez

Undergraduate Research Symposium Posters

This work presents a computational study of incompressible flow based on the Navier-Stokes equations using finite element method. The Crank-Nicolson approximation is used for discretizing the time derivative. The study consists of investigating the effect of the choice of finite elements and the size of the time step in obtaining the numerical velocity and pressure. This is illustrated with FreeFEM++ simulations of the von Karman benchmark flow problem. Profiles of drag, lift and pressure drop will be presented in time.

Spatiotemporal Feature Extraction From Vertical Grf Signals For Parkinson’S Disease Severity Assessment Using Physionet And Gaitpd, Nitya Jadeja

Undergraduate Research Symposium Posters

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder that impairs motor coordination, often resulting in measurable gait disturbances. Vertical ground reaction force (VGRF) signals provide a quantitative means of capturing these abnormalities and monitoring disease progression. This study focuses on the extraction and analysis of spatiotemporal gait features such as stride variability, stance duration, and force imbalance, from the PhysioNet Gait dataset to better understand their correlation with PD severity. Using gait analysis and machine learning techniques, recent computational models are reviewed and evaluated for their ability to assess PD progression through VGRF data. The analysis compares data-driven approaches with …

Real-Time Ai-Enabled Therapeutic Device For Improving Peripheral Perfusion And Glucose Regulation In Type 2 Diabetes, Torryana Tanis

Undergraduate Research Symposium Posters

Type 2 Diabetes Mellitus is frequently accompanied by peripheral microvascular disease, leading to impaired lower limb perfusion, impaired healing, and vulnerability to ulcers and amputation. The existing medical devices are predominantly aimed at systemic glucose control and do not have local therapeutic intervention to improve circulation or allow muscular glucose delivery. To meet this crucial demand, we have developed a portable, two-in-one biofeedback device that combines non-invasive blood glucose monitoring and Electronic Muscle Stimulation (EMS) therapy for the calf muscle. The glucose monitoring subsystem implements near-infrared (NIR) spectroscopy to measure skin light absorptance on the index finger. Real-time blood glucose …

The Mathematics Of Motion: Applying Derivatives To Fluid Systems, Sayla Daily

Undergraduate Research Symposium Posters

Mathematical modeling through differential equations provides a basis for understanding change in physical and engineering systems. My project explores the transition from single-variable derivatives to multivariable partial derivatives and their applications in describing engineering applications. Beginning with the Fundamental Theorem of Calculus, derivatives are introduced as measures of change, quantifying relationships such as velocity and acceleration. The study then extends to partial derivatives, which represents systems influenced by multiple variables, including spatial and temporal factors. These principles are applied to model fluid motion, and pressure gradients, including the Navier–Stokes equations governing fluid dynamics. By linking mathematics with engineering applications, this …

Digital Twin Of The Unlv Campus For Safe Autonomous Vehicle Simulation, Carlos Funes

Undergraduate Research Symposium Posters

With the rise of artificial intelligence and machine learning algorithms, self-driving cars are becoming increasingly prevalent on our roads. By utilizing these technologies, we can reduce the number of accidents caused by distracted driving. Before implementing these systems in vehicles, however, it is essential to conduct numerous tests. Traditional evaluation of driverless cars on real-world roads can be both expensive and hazardous. To address this, creating a digital twin of an actual road minimizes unexpected hazards, allowing researchers to safely and efficiently test self-driving car programs in high-risk scenarios using computer simulations. This research outlines the process of generating a …

Diving Video Analysis Using Multitask Learning Action Quality Assessment (Mtl-Aqa), Taylor Gauthier

Undergraduate Research Symposium Posters

In many sports, videos are being used to assist in judging. For example, they are being used to review quick actions or confirm the actions being performed. For diving specifically, the videos of a dive can be at most 3 seconds long, and divers can perform a range of somersaults and twists within that time frame, all of which affect the score, classification, and dive number. Using these videos, a Multitask Learning Action Quality Assessment (ML-AQA) program, based on machine learning, from a vast dataset, is able to produce an Action Quality Score out of 100, Factorized Action Recognition (classifications), …

A Triple Bottom Line Analysis Of Food Waste-To-Bioenergy At California University Campuses: Social Enablers Break Down Economic Barriers, Anjali Sharma

Master's Theses

Greenhouse gas emissions from food waste (FW) and energy generation are two major hurdles to the climate crisis. Previous research shows that waste-to-energy systems may provide a solution to both these challenges, particularly at university campuses, due to their high FW generation and high energy needs. Despite this, few academic institutions in California, US, have adopted waste-to-energy systems, and campus-specific challenges and opportunities associated with these systems remain underexplored. For this study, I use an Environmental, Economic, and Social (EES) lens to document the current landscape of FW management and implementation of food waste-to-bioenergy at campuses in each of the …

Doc 2025-20 Proposal To Suspend Bachelors In Adolescent To Young Adult (7-12) Teaching Concentrations In Integrated Mathematics & Integrated Science, University Of Dayton. School Of Education And Health Science

Senate Documents

Proposal to Suspend Bachelors in Adolescent to Young Adult (7-12) Teaching Concentrations in Integrated Mathematics & Integrated Science

Doc 2025-19 Proposal For New Bachelor Of Science In Data Analytics, University Of Dayton. Academic Policies Committee

Senate Documents

The Bachelor of Science in Data Analytics is an interdisciplinary program designed to prepare students with the skills to collect, manage, analyze, and interpret complex data. Building on foundations in mathematics, statistics, and computer science, the program emphasizes hands-on experience with programming, databases, regression, and machine learning. Students learn to translate data into actionable insights, preparing them for careers in data analytics, business intelligence, and related fields, as well as for advanced study in data science and analytics.

Patent Monopsonies, Roy Baharad, Gideon Parchomovsky

Duke Law Journal

Conventional wisdom perceives patent protection as a necessary evil. Patent protection, the argument goes, raises the prices of patented products and processes, thus restricting access to innovation. But without it, not enough innovation will be produced. Hence, generations of scholars have sought ways to curb the market power of patentees via various legal interventions, such as prizes, compulsory licenses, and other forms of regulation. All have tacitly assumed that eroding the market power of patentees would result in a competitive market for innovation that would put an end to the allocative inefficiencies and distributional inequities that emanate from patent protection. …

Risk Factors For Unexpected Death In Patients Identified By A Communication And Resolution Program, Peter Lodato, Neal D. Goldstein, Alexandra M, Mapp, Adebayo Gbadebo, David A. Paul

Department of Pediatrics Faculty Papers

Many patients experience unexpected harm while receiving healthcare, with a lasting impact on patients, families, and caregivers. Communication and Resolution Programs are being adopted with increased frequency, as a more systematic, transparent, and equitable approach to these unexpected outcomes. The aim of this study was to identify whether demographic factors played a role in identifying patients with unexpected death, as managed in our CRP. This nested case-controlled compared 236 patients who experienced an unanticipated death with 2,360 controls who died expectedly over a 10-year period. Patients with unexpected death were more likely to be Black (AOR 2.18 95% CI 1.01-4.68), …

Bridging Worlds: Cultivating Cultural Intelligence For Transformative English Classrooms, Alvaro R. Larrea Salazar

Senior Honors Theses

This project explores the integration of the Cultural Intelligence (CQ) framework in the secondary English classroom to enhance inclusivity and classroom dynamics. It argues that by understanding and adapting to diverse cultural contexts, teachers can create a more inclusive and welcoming environment, improve teacher-student relationships, and facilitate more effective classroom management. Through a focus on lesson planning, discussion, and overall instruction, this thesis aims to show how CQ can enrich literature studies and foster cultural awareness among students. Drawing on existing research, it demonstrates that a high CQ in educators is linked to transformational leadership and positive student outcomes, ultimately …

Institutional Mobility Intentions And Job Satisfaction Of Model Minority University Faculties In The United States, Maki Kato

Journal of Comparative & International Higher Education

The purpose of this study is to quantitatively understand the institutional mobility intentions and job satisfaction of Asian Female Foreign Faculties (AFFFs) working in colleges and universities in the United States (U.S.) to supplement previous qualitative research focusing on their experiences and perceptions. This study uses 2012–2020 data from the Collaborative on Academic Careers in Higher Education’s (COACHE) Faculty Job Satisfaction Survey. The results show that among both, AFFFs and other foreign faculties, the intention to move from one’s current university is uncertain. AFFFs’ job satisfaction, including their interactions with other faculties, is lower than that of white U.S. …