Digital Commons Network^™

Applications Of Predictive And Generative Ai Algorithms: Regression Modeling, Customized Large Language Models, And Text-To-Image Generative Diffusion Models, Suhaima Jamal

College of Graduate Studies: Theses & Dissertations

The integration of Machine Learning (ML) and Artificial Intelligence (AI) algorithms has radically changed predictive modeling and classification tasks, enhancing a multitude of domains with unprecedented analytical capabilities. Predictive modeling leverages ML and AI to forecast future trends or behaviors based on historical data, while classification tasks categorize data into distinct classes, from email filtering to medical diagnosis. Concurrently, text-to-image generation has emerged as a transformative potential, allowing visual content creation directly from textual descriptions. These advancements are pivotal in design, art, entertainment, and visual communication, as well as enhancing creativity and productivity. This work explores three significant studies in …

A Novel Magnetorheological Pump Concept For Insulin Delivery, Mohammad Towhidul Islam Rimon

College of Graduate Studies: Theses & Dissertations

Over the past 25 years, awareness of type 1 diabetes has significantly increased, leading to a comprehensive understanding of various aspects, including its genetics, epidemiology, and disease burden. According to the Type 1 Diabetic Index, about 8.7 million people around the world live with this long-term autoimmune disease characterized by insulin deficiency and resultant hyperglycemia. However, the increased availability and utilization of artificial pancreas systems could potentially save 673,000 lives by 2040. Although, the advancement of diabetes technology offers Type 1 diabetic patients more tools to enhance glycemic management and achieve effective outcomes, many patients are still hesitant to adopt …

Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman

College of Graduate Studies: Theses & Dissertations

Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …

Self-Supervised Contrastive Learning Using Eeg Signals For Mental Stress Assessment, Ugochukwu Uraechu

College of Graduate Studies: Theses & Dissertations

A study is presented to investigate self-supervised contrastive learning (SSCL) models using physiological data obtained from non-invasive wearable sensors for mental stress assessment. The present work involved acquisition of electroencephalography (EEG) signals using wearable sensors, signal preprocessing, data augmentation, and investigation of self-supervised contrastive learning (SSCL) algorithms for multi-class mental stress assessment. Seven volunteers participated in this study executing various mental tasks while wearing an OpenBCI head cap to acquire EEG signals. The acquired EEG signals were preprocessed and utilized for data augmentation in time and frequency domains with different SSCL models. Optimal data augmentation combinations and SSCL models were …

Investigations Of Performance And Emissions Of A Fischer-Tropsch Gtl Sustainable Aerospace Fuel With Lubricity Improver In A Compression Ignition Engine With Butanol Port Fuel Injection, James B. Willis

College of Graduate Studies: Theses & Dissertations

As there is increasing concern over emissions of traditional fossil fuels, as well as the future of continued reliance on this dwindling resource, it is becoming increasingly evident that alternative fuels are a necessity. This research investigates the use of a Fischer-Tropsch fuel from natural gas feedstocks, S8, in an internal combustion research engine with a common rail fuel injection system. This synthetic kerosene fuel has a high DCN of 62, indicating high affinity to autoignition compared to conventional pump diesel (ULSD) at 48 DCN. However, due to the process by which it is produced, this fuel lacks the necessary …

Impact Of Operational Conditions On The Transient Thermal Behavior Of Lithium-Ion Batteries, Jairo Sebastian Casa

College of Graduate Studies: Theses & Dissertations

Considering the high increase of lithium-ion batteries (LIBs) through the years, it is important to analyze the impact of the operational conditions, such as charging and discharging on the transient thermal behavior of LIBs for thermal management of Li-Ion batteries. A pseudo two-dimensional mathematical model based on the finite volume method (Doyle-Fuller Newman) available in an open-source environment such as Python, was utilized for the electrochemical evaluation of the Li-Ion battery. For simplicity, a lumped thermal model was integrated with the electrochemistry model to evaluate the transient behavior of Li-Ion cells under varying conditions. Both the electrochemistry and lumped thermal …

Investigation Of Topologically Protected Wave Propagation Near Dirac-Like Cones In Acoustic Metamaterials, Md Arif Iqbal Khan

College of Graduate Studies: Theses & Dissertations

This study presents a novel approach to investigate an exceptionally rare acoustic phenomenon – topologically protected wave propagation (TPWP) within a solid-solid domain. While previous research has attempted to unravel the physics behind this phenomenon, most efforts have been grounded in the framework of condensed matter physics and quantum mechanics often requiring complex geometries to realize TPWP in solid-fluid interactions. In contrast, this thesis introduces a geometric tuning method that enables the achievement of TPWP with simpler geometric configurations within a solid-solid domain. Rather than explaining by the quantum trio - quantum anomalous hall effect, quantum valley hall effect, and …

Development Of A New Green Infrastructure By Using Biochar Amended Topsoil For On-Site Stormwater Runoff Treatment, Ayesha Sadia

College of Graduate Studies: Theses & Dissertations

This Research Project aimed to design, build, operate and maintain, and monitor a new green infrastructure (GI) using biochar-amended topsoil for on-site stormwater runoff treatment in urban areas. The project involved evaluating the removal efficiencies of pollutants from stormwater runoff such as total suspended solid (TSS), nutrients including nitrogen and phosphorous, heavy metals including lead (Pb), zinc (Zn) and copper (Cu) and oil and grease etc. from the media of biochar amended topsoil. In this Project, a full-scale Field Test Site with a total area of 500 and 1 ft depth was built to on-site treat stormwater runoff from a …

Empowering Causal Machine Learning For Large-Scale Manufacturing Pipelines With Knowledge Graphs, Yuxin Zi, Cory Henson, Amit P. Sheth

Faculty Publications

Understanding causal relations within manufacturing pipelines is crucial for key manufacturing tasks such as anomaly detection and root cause analysis. However, existing causal machine learning (causal ML) approaches struggle to scale effectively to the vast number of variables present in manufacturing settings. We advocate for incorporating domain knowledge within the manufacturing pipelines, represented as knowledge graphs (KGs), for designing causal ML methods for large-scale manufacturing problems. Knowledge graphs can encode rich contextual information about the interactions and dependencies between different components and stages of the manufacturing pipeline, providing a structured framework to guide the discovery of causal relationships. By incorporating …

A Practical Framework For Component-Level Structural Health Monitoring Of The Gerald Desmond Bridge, Mehran Rahmani, Vesna Terzic, Andrea Calabrese, Brittany Cambell

Mineta Transportation Institute

Bridges serve as critical transportation infrastructure, but traditional maintenance inspection to ensure their safety is time-consuming, costly, and labor-intensive, especially for larger and more complex structures. This study presents a practical framework for the instrumentation, data acquisition, and remote condition assessment of the Gerald Desmond Bridge, California’s largest cable-stayed bridge. The framework aims to establish a foundation for real-time or near real-time remote health monitoring of the bridge’s critical elements. The study highlights the advantages of remote monitoring in terms of efficiency, cost-effectiveness, and early detection of damage.

Weighted Effect Of Concentrated Cracking On The Structural Integrity Of Concrete Bridge Decks, Md Ala Uddin

Graduate Theses, Dissertations, and Problem Reports (ETD)

Concrete bridge decks are vital components of transportation infrastructure, yet their deterioration due to aging, environmental, and operational factors poses significant challenges to maintenance and safety. In the United States, approximately 9.1% of bridges require improvement, with millions of daily trips relying on structurally deficient bridges. Cracking is one of the most frequently observed defects on concrete bridge structures. Traditional bridge inspections evaluate cracks based on severity (crack width) and extent (crack area), combining these values with other performance indicators to assess overall bridge health. However, the effect of concentrated cracking in localized areas on bridge integrity remains largely unexplored. …

Benchmarking The Global Warming Potential Of Asphalt Pavements In West Virginia, Md Reasad Samrat

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the rising focus on sustainable infrastructure, interest in environmentally friendly paving practices has grown significantly. This thesis investigates the environmental impacts of asphalt mixtures in West Virginia from a sustainable asphalt mix design perspective, with a particular emphasis on the utilization of Life Cycle Assessment (LCA). The research aligns with the U.S. Federal Highway Administration (FHWA) Climate Challenge, which aims to encourage state Departments of Transportation (DOTs) to implement low-carbon materials and consider the ecological effects of their paving activities. This study establishes the initial benchmark values for greenhouse gas emissions associated with asphalt pavements in West Virginia. The …

Identification And Characterization Of Two Novel Kcnh2 Mutations Contributing To Long Qt Syndrome, Anthony Owusu-Mensah, Jacqueline Treat, Joyce Bernardi, Ryan Pfeiffer, Robert Goodrow, Bright Tsevi, Victoria Lam, Michel Audette, Jonathan M. Cordeiro, Makarand Deo

Electrical & Computer Engineering Faculty Publications

We identified two different inherited mutations in KCNH2 gene, or human ether-a-go-go related gene (hERG), which are linked to Long QT Syndrome. The first mutation was in a 1-day-old infant, whereas the second was in a 14-year-old girl. The two KCNH2 mutations were transiently transfected into either human embryonic kidney (HEK) cells or human induced pluripotent stem-cell derived cardiomyocytes. We performed associated multiscale computer simulations to elucidate the arrhythmogenic potentials of the KCNH2 mutations. Genetic screening of the first and second index patients revealed a heterozygous missense mutation in KCNH2, resulting in an amino acid change (P632L) in the …

Domain Adaptive Federated Learning For Multi-Institution Molecular Mutation Prediction And Bias Identification, W. Farzana, M. A. Witherow, I. Longoria, M. S. Sadique, A. Temtam, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Deep learning models have shown potential in medical image analysis tasks. However, training a generalized deep learning model requires huge amounts of patient data that is usually gathered from multiple institutions which may raise privacy concerns. Federated learning (FL) provides an alternative to sharing data across institutions. Nonetheless, FL is susceptible to a few challenges including inversion attacks on model weights, heterogenous data distributions, and bias. This study addresses heterogeneity and bias issues for multi-institution patient data by proposing domain adaptive FL modeling using several radiomics (volume, fractal, texture) features for O6-methylguanine-DNA methyltransferase (MGMT) classification across multiple institutions. The proposed …

Methylene Blue-Mediated Photodynamic Therapy In Combination With Doxorubicin: A Novel Approach In The Treatment Of Ht-29 Colon Cancer Cells, Nima Rastegar-Pouyani, Jaber Zafari, Alireza Nasirpour, Hossein Vazini, Nabbaa Najjar, Seyedeh Zohreh Azarshin, Fatemeh Javani Jouni

Electrical & Computer Engineering Faculty Publications

Introduction: With an alarmingly growing number of patients diagnosed with colorectal cancer, adopting innovative anti-cancer approaches has recently garnered great attention. One interesting concept is the co-administration of cytotoxic agents and safer modalities such as photodynamic therapy (PDT), which can subsequently improve therapeutic efficacy and potentially reduce the risks of severe adverse effects and drug resistance. In the course of PDT, a locally injected photosensitizer (PS) is irradiated with a light source, which subsequently generates reactive oxygen species (ROS) and induces programmed cell death in tumor cells.

Methods: In this study, to evaluate the potential anti-cancer effects of chemotherapy combined …

Draft Makerspace Optimization And Procedure For The University Of Northern Iowa And Cedar Falls, Andrew Nii Anang

Graduate Research Papers

The University of Northern Iowa (UNI) Makcrspace is a dynamic, communal setting created to encourage members of the community at large to be creative, innovative and engage in hands-on learning. Access to a variety of hand and power tools as well as state-of-the-art technologies is available at this cutting-edge facility. The Makerspace promotes a culture of experimentation and entrepreneurship while offering assistance for multidisciplinary initiatives. The Makerspace incorporates real-world, project-based learning experience, greatly improving UNI's educational environment. It enhances the university's reputation for encouraging innovation and research by drawing in potential students and community members who are interested in cutting-edge …

Disentangling Cyclic Causality: An Instance-Based Framework For Causal Discovery, Chase A. Yakaboski

Dartmouth College Ph.D Dissertations

Correlation does not imply causation" is one of the fundamental principles taught in science, emphasizing that associations between variables do not necessarily indicate causality. Yet, over the past three decades, extensive research has begun to challenge this perspective by developing sophisticated methods to differentiate causal from correlative relationships. This research suggests that correlations often involve a blend of confounded and causal interactions, which, given certain assumptions, can be disentangled to uncover actionable insights and deepen our understanding of physical, biological, and societal systems.

Accurately discovering causal relationships from data amidst cyclic dynamics remains a challenging open problem in causality research. …

Impact Of Glottis Area On Airflow Dynamics In The Human Trachea Using A Simplified Stenosis Pipe Model, Amany M. Kamal, Momtaz Sedrak, Abouelmagd Abdelsamie

Trends in advanced sciences and technology

A complex transitional flow is produced in the larynx during air inhalation process, pivotal for fundamental comprehension and medical advancements in treatment methodologies. This study delves into the influence of the glottis region utilizing a simplified stenosis pipe geometry, examining two distinct cases: (1) the axisymmetric case and (2) the eccentric case. Reynolds-averaged Navier–Stokes equations with shear stress transport (SST) 𝑘 − 𝜔 turbulence model with intermittency transition activated with steady, Newtonian, and incompressible airflow have been used. The analysis underscores the significant impact of the eccentricity on the velocity by increasing 0.6% comparing with axisymmetric case, also particularly affecting …

Characterization Of Antibody Repertoires Developed From Naive And Recall Responses, Nicholas C. Curtis

Dartmouth College Ph.D Dissertations

Adaptive immunity, comprised in part by the antibody repertoire, is the cornerstone of our ability to remain healthy amongst the plethora of pathogenic challenges we encounter daily. Despite the importance of understanding antibody repertoire development, much remains unknown about the composition and evolution of circulating antibodies in response to viral challenges. To better understand antibody repertoire development, we profiled the serum antibody repertoire using a combination of next-generation sequencing and serum antibody proteomics in the predominantly naïve response against SARS-CoV-2 spike and the recalled response to influenza hemagglutinin. The response to SARS-CoV-2 spike in four convalescent individuals was diverse (consisting …

An Fpga-Based Eit System For Deep Space Medical Imaging, Kendall R. Farnham

Dartmouth College Ph.D Dissertations

Dangers associated with high radiation and microgravity exposure in space are critical challenges inhibiting us from exploring deep space and pursuing long-duration missions, as current medical systems are unable to monitor, diagnose, or treat tissue injury within physical spacecraft constraints and communication limits. Ultrasound (US) is the current imaging system used on the International Space Station, but this technology relies on telemedical support (or onboard artificial intelligence/autonomous capabilities) for both operation and diagnosis, posing challenges for crews isolated in deep space. Electrical impedance tomography (EIT) is a non-invasive, non-ionizing technology that produces images of the electrical properties of tissues and …

Factors Influencing Engineering Student Persistence: A Two Institution Study, Stephen Drawbaugh

Murray State Theses and Dissertations

The purpose of this study was to investigate the persistence factors of undergraduate engineering students and compare those factors at an R2 research university and a regional university. The study further investigated if these factors are different based on gender and race/ethnicity. This study used quantitative methodology to determine the significance of the differences in universities, genders, and races/ethnicities. Tinto’s (1975, 1993) student departure theory, Bean’s (1988, 2001) student departure model, Astin’s student involvement and development theory, and a study by Marra et al. (2012) provided the theoretical framework for this study. Findings from the survey sample of 52 students …

Data-Driven Analysis Of Progressive Design Build In Water And Wastewater Infrastructure Projects, Fareed Salih, Radwa Eissa, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The United States has invested heavily in water and wastewater infrastructure projects to address growing demand and aging systems. To ensure the effective delivery of these projects, agencies are shifting toward alternative delivery methods such as progressive design build (PDB), which has demonstrated accelerated schedule and enhanced cost performance across the literature as well as multiple projects compared to traditional DB. This has raised a need for evaluating PDB's state of adoption and performance in the water and wastewater sector. To this end, the authors: (1) conducted descriptive and statistical analyses of the 21 PDB water and wastewater projects available …

Skilled Worker Shortage Across Key Labor-Intensive Construction Trades In Union Versus Nonunion Environments, Tamima Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Skilled labor plays a crucial role in ensuring that construction projects are completed on time, within budget, and to the required standards of quality and safety. However, the construction industry has been facing a labor shortage in recent years, which poses a significant challenge to the industry's growth and sustainability. Therefore, it is important to examine the characteristics of the construction skilled labor market to understand the factors that contribute to the shortage of skilled workers and develop strategies to address the issue. This paper fills this knowledge gap. To this end, the authors (1) collected and processed project documentation …

Assessing The Impact Of Skilled Labor Shortages On Project Cost Performance, Tamima S. Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Over The Past Decade, There Has Been A Notable Increase In Skilled Labor Shortages Within The Construction Industry. This Shortage Has Numerous Negative Consequences On Construction Projects, Such As Delays In Completion, Compromised Quality, And Higher Costs. Therefore, The Goal Of This Paper Is To Examine The Extent Of Skilled Labor Shortages Observed Throughout The Industry And Their Impact On The Cost Performance Of Construction Projects. To Achieve This Goal, The Authors Identified 10 Key Construction Trades That Heavily Rely On Skilled Labor. Subsequently, An Industry Survey Was Conducted To Measure The Extent Of Skilled Labor Shortages, As Well As …

Identifying And Exploring Construction Pm Evolution And Research Directions, Jeffrey S. Russell, Islam H. El-Adaway, Ramy Khalef, Fareed Salih, Gasser Ali

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Project Management (PM) Is The Process Of Organization, Allocation, And Control Of Resources To Achieve A Specific Goal. Previously, PM Focused On Planning And Executing Projects According To Predetermined Objectives, But It Has Evolved To Include The Use Of Technology To Aid In Managing And Delivering Projects. However, No Research Has Provided A Comprehensive Analysis Of This PM Evolution. To Fill This Gap, This Data-Driven Study Conducted A Scientometric Analysis, Using PM-Related Research Papers, To Identify The PM Evolution Along The Holistic Life Cycle Of Its Knowledgebase. The Findings Of This Study Identify Four Distinct PM Phases: PM 1.0, PM …

Improving The Peak Performance Lifespan Of A Two-Piece Composite Bat, Angelina Sicurezza

Williams Honors College, Honors Research Projects

The push for innovation and enhancement of sports equipment in recent years has led to significant advancements in composite materials. This project aims to propose new design possibilities that will improve the lifespan of a two-piece composite bat. Using finite element analysis (FEA) software, various fiber orientations and materials were modeled and analyzed for their impact response. Two unique quarter-cylinder designs along with a baseline design were modeled with symmetric boundary conditions. The proposed bat deigns include a helicoidal model and a CFRP-Aramid hybrid model. Comparative analysis of the elastic responses revealed that both the helicoidal and hybrid models demonstrated …

Smart Dog Door, Andrew Shetler, William Boissoneault, Jacob Stump, Benjamin Charlson

Williams Honors College, Honors Research Projects

With modern life getting busier and more complex, many have turned to autonomous assistance for taking care of pets. The objective of this project is to design and prototype a device and application that will allow only certain dogs to enter and exit through a dog door while making the owners aware of their dog's activity. The dog door will utilize wireless communication from the dog to the door to control the status of the door’s lock and update the database that will send updates to the application. The application will keep track of when the dog enters and exits …

Nfpa Fluid Power Vehicle Challenge, Rachel Wasik, Kimberly Griggy

Williams Honors College, Honors Research Projects

The objective of this project is to design a system which prioritizes safety and efficiency that uses human power converted to hydraulic power to drive a bicycle. This project is being done to compete with other university teams in making the best vehicle that runs on fluid power. It will help the members of the team to gain design and testing experience, learn about fluid power systems, and gain experience with working as a team and sharing/distributing responsibilities.

Heating Capacity And Biocompatibility Of Hybrid Nanoparticles For Magnetic Hyperthermia Treatment, Aline Alexandrina Gomes, Thalita Marcolan Valverde, Vagner De Oliveira Machado, Emanueli Do Nascimento Da Silva, Daniele Alves Fagundes, Fernanda De Paula Oliveira, Erico Freitas, José Domingos Ardisson, José Maria Da Fonte Ferreira, Junnia Alvarenga De Carvalho Oliveira, Eliza Rocha Gomes, Caio Fabrini Rodrigues, Alfredo Miranda De Goes, Rosana Zacarias Domingues, Ângela Leão Andrade

Michigan Tech Publications

Cancer is one of the deadliest diseases worldwide and has been responsible for millions of deaths. However, developing a satisfactory smart multifunctional material combining different strategies to kill cancer cells poses a challenge. This work aims at filling this gap by developing a composite material for cancer treatment through hyperthermia and drug release. With this purpose, magnetic nanoparticles were coated with a polymer matrix consisting of poly (L-co-D,L lactic acid-co-trimethylene carbonate) and a poly(ethylene oxide)–poly(propylene oxide)–poly(ethylene oxide) triblock copolymer. High-resolution transmission electron microscopy and selected area electron diffraction confirmed magnetite to be the only iron oxide in the sample. Cytotoxicity …

Assessing Household Gac Water Filters For Pfas Removal From Private Drinking Water Wells, Mccallah Ferry

Williams Honors College, Honors Research Projects

This research paper delves into the efficacy of a typical household water filter in removing per- and polyfluoroalkyl substances (PFAS), a concerning class of chemicals prevalent in water sources. PFAS, known for their persistence and potential health risks, have prompted regulatory actions such as the Third Unregulated Contaminant Monitoring Rule (UCMR 3) and the National Primary Drinking Water Regulation (NPDWR) by the U.S. EPA. While municipal water utilities are subject to regulatory oversight, individuals relying on private wells face challenges in ensuring water quality.

The study employs a model to assess the performance of a SAMSUNG Ice and Water Refrigerator …