Digital Commons Network^™

Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

This thesis addresses the increasing issue of fraud resulting from technological advancements affecting both customers and fraudsters, while law enforcement agencies face challenges of inadequate case prioritization; data overload and slow investigative analysis. The central objective of this thesis revolves around strategies to counter these challenges, emphasizing the urgency of rapid response to major alert cases that can lead to widespread impacts. The authors' experience in financial fraud detection and credit card crime investigation within the police department has inspired this research, guiding the approach toward practical solutions for everyday operational challenges. The significance of this thesis lies in its …

Application Programming Interface For Embedded Protocol Management System, Mathew David Barrera

Theses

This paper defines an architecture and software structure which implements a polymorphic system to manage hardware devices. The architecture implements a system to manage integration of hardware devices by providing the constructs required to implement communication and data transport protocols with a method that manages system state independence of each hardware component integrated. The architecture components provide a system which maintains the independence of each device by defining abstractions between each component of the system providing the software constructs required to integrate hardware components which implement differing connections methods and communication protocols. The software architecture provides the means of Integration …

Development And Optimization Of Electric-Double-Layer Gated Transistors Based On Low-Dimensional Materials: Gate-All-Around Inas Nanowire Arrays And Graphene Channels, John Wyatt Morrell

Theses

Electric-double-layer (EDL) gating is a promising alternative to conventional gating methods for field-effect transistors (FETs), with potential applications spanning current logic, future logic, and neuromorphic computing architectures. This technique employs mobile ions in an electrically insulating but ionically conductive medium to generate strong local electric fields at the gate-to-channel interface, achieving field magnitudes on the order of 1 V/nm. These intense local fields enable significant charge carrier accumulation in the semiconducting channel, positioning EDL gating as a strong candidate for device applications. In this study, we investigate the use of low-dimensional channel materials, including two-dimensional graphene and one-dimensional InAs nanowires, …

Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon

Theses

Bioheat transfer is the study of heat transfer applied in anatomy and physiology, which is relevant to maintaining homeostatic conditions from metabolic activity, thermal exposures, and various treatments and diagnostic methods. Blood flow significantly impacts heat transfer throughout the body, facilitating the diffusion of heat. Models have been developed to quantify bioheat transfer and the effect of blood flow through tissue for many biological functions and medical procedures, one of which is radiofrequency ablation for cardiac arrhythmia. Significant improvements to models and assumptions are still required as success rates for this procedure remain low for various arrhythmia types. The research …

Artificial Neurovascular Networks To Simulate Energy Distribution To Spiking Neural Networks, William Bottom

Theses

Biological neurons are known to be much more energy efficient than modern computers, with the human brain only consuming about 20 Watts. An Artificial Neural Network can take hours or days to train on high-performance and energy-consuming GPUs, so networks that can achieve similar performance at a fraction of the energy cost are very sought after. Spiking Neural Networks, which mimic biological neurons more closely than Artificial Neural Networks (ANNs), are a potential option for the energy problem in Neural Networks. By converting an ANN to an SNN and applying energy-saving methods/architectures, the equivalent SNN network can achieve similar performance …

Leveraging Ai To Improve Service Quality For Better Passenger Satisfaction At Airport, Abdulrhman Alsaleh

Theses

The aim of this research is to explore the impact of airport service quality on passenger satisfaction level in Dubai International Airport (DXB) and the study employed machine learning approach to establish the services quality dimensions relationship with passenger satisfaction. However, the initial objective is to analyze patterns and make future forecasts that DXB could use to enhance service delivery. The research focuses on key service quality dimensions: The study investigates the causal relationship between five constructs: reliability, service quality tangibility, assurance, responsiveness, and empathy using machine learning models such as regression and classification. The information data applies to the …

Using Machine Learning To Predict Energy Consumption In Commercial Buildings In The Uae, Saif Nasser Aljasmi

Theses

The ever-growing demand for energy necessitates a shift towards efficient management practices. Buildings, responsible for a significant portion of global energy consumption, present a prime opportunity for optimization. Building Energy Management Systems (BEMS) have emerged as a crucial tool in this endeavor, offering a comprehensive platform for monitoring and integrating various building systems. However, a key functionality within BEMS, energy consumption prediction, has faced limitations in accuracy. This stagnation hinders the full potential of BEMS for achieving optimal energy management strategies. Traditional methods for energy prediction often rely on historical data and lack the sophistication to capture the complex and …

Analyzing The Effects Of Economic Factors On Residential Real Estate Market Dynamics Of Dubai: Using Machine Learning Methods, Zarrina Shokirova

Theses

Dubai’s residential real estate market is known for its rapid growth and dynamic nature, making it an intriguing subject for analyzing the impact of various economic factors. This thesis examines how key economic elements such as GDP growth, inflation rates, and foreign investment influence property dynamics in Dubai. By synthesizing current research, this study aims to understand how these economic conditions affect real estate values, demand, and supply. Additionally, modern analytical methods, including decision trees, logistic regression, and random forest models, are employed to predict market trends and uncover significant patterns. This research contributes to both academic understanding and practical …

Temporal Analysis And Prediction Of Air Quality Based On Environmental Data, Mizbah Syed

Theses

Air pollution is one of the most pressing environmental challenges of the modern era, significantly impacting public health, ecosystems, and economic stability. Pollutants such as PM2.5, PM10, and NO₂—largely driven by urbanization, industrialization, and vehicular emissions—have exacerbated global health issues, including respiratory illnesses, cardiovascular diseases, and premature mortality. According to the World Health Organization, air pollution contributes to over 7 million deaths annually, with economic losses amounting to billions of dollars. Beyond its health and financial toll, air pollution worsens climate change, underscoring the urgent need for accurate air quality index (AQI) prediction to enable timely interventions and evidence-based policymaking. …

Robust And Efficient Active Inference For Perception, Action, And Learning, Zhizhuo Yang

Theses

Active Inference (AIF) is an emerging framework rooted in neuroscience aimed at elucidating human perception, action, and cognitive processes. Recent advances in machine learning have facilitated the non-invasive study of human cognition through the lens of this framework. This dissertation expands upon this theoretical foundation to address practical challenges in robotic control and human cognitive behavior analysis. We initiate our exploration with a review of the eye-tracking studies that underpin the motivation for AIF research. This provides a background for understanding how AIF can model cognitive processes. First, we present a minimal AIF model within a discrete state space, framed …

Rainfall Prediction Using Machine Learning Methods, Ibrahim Abdulla Obaidalla

Theses

The capability to predict rainfall effectively is crucial for both economic planning and safety measures. This project examined the performance of three well-known forecasting models: Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA), and Seasonal Autoregressive Integrated Moving-Average (SARIMA) to determine their accuracy in predicting rainfall patterns. Extensive analysis of data was conducted to identify which model was the most reliable and accurate, considering varying climatic conditions and time scales. The LSTM model, a type of network designed for sequential data, was expected to excel due to its ability to understand long-term dependencies in data series. This is vital …

The Tale Of Mari, Anya Vaughn

Theses

The Tale of Mari is a mixed media animated documentary which follows the life of Mari Arakaki Gaskins. Shortly after moving to America in the 1970s, Mari began illustrating comic strips about a Japanese family, emulating the cartoons she saw in newspapers. She sent a letter to the creator of Garfield, Jim Davis, and included her comics. Davis sent her a response, and told her that her artwork was good. However, he believed that the strips were unlikely to be published, because comics about a young Japanese girl would not be relatable to American audiences. Mari grew up during a …

Evaluation Of A Non-Metallic Dual-Port Expander For Intensity Modulated Proton Therapy, Kristen Mcconnell, Zachary Fellows, James Kraus, Mauricio Acosta, Joseph Panoff, Eduardo Pons, Alonso Gutierrez, Andrew Wroe

All Publications

Purpose: To provide a methodology for characterization of the technical properties of a newly developed non-metallic tissue expander for intensity modulated proton therapy.

Methods: Three tissue expanders (AlloX2-Pro: plastic-dual port, AlloX2: metal-dual port, and Dermaspan: metal-single port) were deconstructed, CT-scanned, and modeled in RayStation12A. A 165 MeV single spot was used to create RayStation dose planes, and the integrated depth dose profiles were calculated and the DR90 extracted to predict water equivalent thickness (WET). These predictions were compared to measurements taken with an IBA Giraffe MLIC. Native, water, and fully modelled overrides were compared for the AlloX2 Pro to quantify …

Redistribution With Political Constraints: Legal Rules Compared To Taxes And Transfers, David Weisbach

Penn State Law Review (2003 - Present)

No abstract provided.

Defining An Affirmative Public Benefit: Where Does Cicero Leave Fair Market Value Acquisitions Of Municipally Owned Utilities?, Noah Eastman

Penn State Law Review (2003 - Present)

No abstract provided.

The Lesser Of Two Evils: Whether The United States Is Legally Justified In Its Decision To Send Cluster Munitions To Ukraine, Drew Weglarz

Penn State Law Review (2003 - Present)

No abstract provided.

Reconceptualizing Property Law's Background Principles In Takings Law, Timothy M. Mulvaney

Faculty Scholarship

Both libertarians and progressives celebrated the result in Tyler v. Hennepin County. This Article asserts that this unified celebration has overshadowed the extent to which the Supreme Court’s reasoning calls into question even our most foundational assumptions about the meaning of property and the takings protections the constitution affords to it. Followed to its literal end, Tyler remarkably suggests that owners may well need to ground their expectations in the property laws endorsed by a majority of states rather than in the laws of their own state.

Suspicious that the Court intended such a revolutionary upheaval of the state variations …

Transforming Fair Use, Glynn Lunney

Faculty Scholarship

In the United States, the fate of fair use, and by extension, copyright itself, hang in the balance. In recent years, courts have disagreed over fair use’s proper scope. On the one side are appellate decisions that interpret fair use broadly. While these decisions do not go so far as to suggest that every reuse is fair, they typically use the talismanic phrase “transformative use” and give it a generous and flexible interpretation. On the other side are appellate decisions that interpret fair use restrictively. While again they do not go so far as to suggest no reuse is fair, …

Proteomic Analysis Uncovers Multiprotein Signatures Associated With Early Diabetic Kidney Disease In Youth With Type 2 Diabetes Mellitus, Laura Pyle, Ye Ji Choi, Phoom Narongkiatikhun, Kumar Sharma, Sushrut Waikar, Anita Layton, Kalie L Tommerdahl, Ian De Boer, Timothy Vigers, Robert G Nelson, Jane Lynch, Frank Brosius, Pierre J Saulnier, Jesse A Goodrich, Jeanie B Tryggestad, Elvira Isganaitis, Fida Bacha, Kristen J Nadeau, Daniel Van Raalte, Matthias Kretzler, Hiddo Heerspink, Petter Bjornstad

Faculty, Staff and Students Publications

Background: The onset of diabetic kidney disease (DKD) in youth with type 2 diabetes (T2D) mellitus often occurs early, leading to complications in young adulthood. Risk biomarkers associated with the early onset of DKD are urgently needed in youth with T2D.

Methods: We conducted an in-depth analysis of 6596 proteins (SomaScan 7K) in 374 baseline plasma samples from the Treatment Options for Type 2 Diabetes in Adolescents and Youth study to identify multiprotein signatures associated with the onset of albuminuria (urine albumin-to-creatinine ratio ≥30 mg/g), a rapid decline in eGFR (annual eGFR decline >3 ml/min per 1.73 m2 and/or ≥3.3% …

Normative Neuroimaging Library: Designing A Comprehensive And Demographically Diverse Dataset Of Healthy Controls To Support Traumatic Brain Injury Diagnostic And Therapeutic Development, Allyson T Gage, James R Stone, Elisabeth A Wilde, Stephen R Mccauley, Robert C Welsh, John P Mugler, Nick Tustison, Brian Avants, Christopher T Whitlow, Lee Lancashire, Seema D Bhatt, Magali Haas

Faculty, Staff and Students Publications

The past decade has seen impressive advances in neuroimaging, moving from qualitative to quantitative outputs. Available techniques now allow for the inference of microscopic changes occurring in white and gray matter, along with alterations in physiology and function. These existing and emerging techniques hold the potential of providing unprecedented capabilities in achieving a diagnosis and predicting outcomes for traumatic brain injury (TBI) and a variety of other neurological diseases. To see this promise move from the research lab into clinical care, an understanding is needed of what normal data look like for all age ranges, sex, and other demographic and …

A Constructivist Grounded Theory Study Of The U.S. Army’S Performance Evaluation Process And Its Impact On Minority Groups: Bias, Diversity, And Military Readiness, Laterrious Starks

Electronic Theses and Dissertations

This study analyzes the impact of the U.S. Army’s Officer Evaluation Report process on minority groups. Through a constructivist grounded theory framework, this research unravels the dynamics that influence performance evaluations and examines the Army’s ability to be a developmental organization. As the military sharpens its focus on identifying near-peer threats and updating the National Defense Strategy for large-scale combat operations, diversity and inclusivity policies are increasingly recognized as fundamental to military readiness. This study uncovers disparities that emerge from the organizational practices within the Officer Evaluation Report process. The finding highlights the implications for minority groups and the systemic …

Jeremiah And Falsehood, Ernesto A Guajardo

Electronic Theses and Dissertations

This thesis proposes that falsehood within Jeremiah is the culminating socio- theological development of a string of habitual and willful degradations done to Judah’s agency by its collective religious and public parties. Jeremiah’s inherent historical context being imbedded within the ancient Near East, and his intentional cross-comparison of Judah’s prophets with that of Samaria, calls for a reconsideration of Jeremiah’s standard reading to one that includes non-Israelite divination, prophecy, and ideas on the divine presence. Judah’s prophets and priests are specifically mentioned repeatedly throughout the text as being the encouragers of and sustainers of Judah’s idolatry, immoral behavior, false prophecy, …

A Phenomenological Study Of Hispanic First-Generation High School Graduates Who Do Not Pursue Higher Education, Amanda J. Arrambide

Electronic Theses and Dissertations

This phenomenological study identified why only 47% of Hispanic first-generation students
/="/">pursue college after high school graduation. According to the U.S. Census Bureau, the high
/="/">school graduate enrollment rate was down about 4% compared to the 66.2% rate in October
/="/">2019. The data collection and analysis procedures included qualitative interviews over Zoom
/="/">with the participants, with recording devices. High schools should provide opportunities for
/="/">students to explore various career paths through internships, job shadowing, career fairs, and
/="/">vocational training programs. This helps students make informed decisions about their college
/="/">major and career goals. …

Modelling Tinnitus Functional Index Reduction Using Supervised Machine Learning Algorithms, Edmund F. Agyemang

School of Mathematical & Statistical Sciences Faculty Publications

This study aims to model the reduction in the Tinnitus Functional Index (TFI) utilizing supervised machine learning algorithms, focusing primarily on Ordinary Least Squares (OLS), K-Nearest Neighbor (KNN), Ridge, and Lasso regressions. Our analysis highlighted Group, ISI, and SWLS as significant predictors of TFI reduction, identified through the best subset selection and confirmed by both forward and backward selection criteria in the OLS regression. Notably, the shrinkage methods, Ridge and Lasso regressions, demonstrated superior performance compared to OLS and KNN, with the Ridge regression presenting the smallest test mean square error (MSE) of 318.30. This finding establishes the Ridge regression …

Proactive And Reactive Sibling Aggression And Their Mediating Effects On The Relationship Between Exposure To Parental Violence And Adulthood Intimate Partner Violence Perpetration, Ayleen Flores, Ruby Charak

Psychological Science Faculty Publications

It is generally understood that individuals who experience exposure to parental violence (EPV) during childhood may come to perpetrate violence, but not all will. Research has shown that individuals who experience EPV can model maladaptive modes of problem-solving that can later be seen in sibling relationships as aggression. This can lead to a heightened risk of adulthood intimate partner violence perpetration (IPV). This study aimed to examine the mediating role of proactive and reactive sibling aggression in the associations of three forms of childhood EPV—violence directed from mother-to-father, father-to-mother, bidirectional—and perpetration of sexual and physical IPV types during adulthood. Participants …

Thai Choral Music In Intercultural Choral Literature: A Guide To Thai Choral Music, Dolhathai Intawong

Dissertations

Amid the evolving landscape of intercultural choral literature, Thai choral music emerges as a compelling yet underexplored genre, distinguished by its integration of unique linguistic and Thai musical elements. Despite the diverse choral repertoire in global music scene, the lack of resources on Thai diction and practical approach to Thai choral works for teaching and performing Thai choral music has resulted in its absence from choral global repertoires.

To address this gap, this research examines a comprehensive approach to Thai diction, providing a foundation for understanding the intricacies of Thai pronunciation which is applicable to a wide range of vocal …

Practicing And Performing Debussy’S Estampes, Yong Mei

Dissertations

Claude Debussy (1862–1918), a leading composer in the French impressionist movement, had a considerable impact on composition in the twentieth century. He wrote masterpieces in genres ranging from vocal music to chamber music to opera and orchestral works. Debussy’s piano works, particularly his four collections—Estampes (1903), Images Books I and II (1901 and 1905), Préludes Books I and II (1909–10 and 1913), and Études (1915)—brought significant innovations to the solo piano repertoire of his time and remain staples over one hundred years later. The purpose of this dissertation is to demonstrate my research for Estampes from various angles, including …

After The Bullets: Managing A Mass Shooting Resource Center Explored Through Autoethnography, Karen Allene Schweihs

Dissertations

The rate of mass shootings has more than doubled over the past 10 years in the United States (Gun Violence Archive, 2024). The focus of this study was a thorough exploration of my personal experiences in designing a response center after a mass shooting occurred in Boulder, Colorado. This study utilized a qualitative narrative inquiry form of research methodology called autoethnography. Autoethnography has been utilized to capture more than the raw data collected, but to offer a more expansive and detailed description of a unique experience. The following research questions were studied:

• Q1 What might I learn about my own …

Independent Evolution Of Oleate Hydratase Clades In Bacillales Reflects Molecular Convergence, Robert J. Neff, Priscilla C. Lages, Shannon K. Donworth, James D. Brien, Christopher D. Radka

Markey Cancer Center Faculty Publications

Oleate hydratase (OhyA), a flavoenzyme that catalyzes the hydration of unsaturated fatty acids, has been identified in various Bacillales organisms, including those in the Listeria, Lysinibacillus, Paenibacillus, and Staphylococcus genera. In this study, we combine structural biology with molecular and phylogenetic analyses to investigate the evolutionary dynamics of the OhyA protein family within the Bacillales order. Our evolutionary analysis reveals two distinct OhyA clades (clade I and clade II) within Bacillales that, while sharing catalytic function, exhibit significant genomic and structural differences. Our findings suggest that these OhyA clades originated from independent evolutionary processes through convergent evolution rather than gene …

A Guide To Parole Preparation In New York State, Parole Preparation Project, Michelle L. Lewin

All Categories

No abstract provided.