Digital Commons Network^™

Customer Perceptions Of Tipping In Minimal-Service Food Settings, Fabian R. Rodriguez Gomez

Honors Undergraduate Theses

As digital payment systems and point-of-sale technologies become increasingly common, customers are encountering more frequent requests to tip in minimal-service food settings, such as coffee shops, pizza parlors, and quick-service restaurants. These changes have prompted discussions regarding the fairness of tipping, customer willingness to tip, and the growing phenomenon of tipping fatigue. The purpose of this study was to examine how employee effort, social pressure, and social obligation influence customer perceptions of tipping in minimal-service food settings.

A quantitative experimental research design was used with 328 participants recruited through the online platform Prolific. Participants were randomly assigned to scenarios manipulating …

Impact Of Childhood Trauma On Perceptions Of Health: Examining The Role Of Religiosity As A Protective Factor Among Black And African American Adults, Patrice Penrose

West Chester University Graduate Theses, Dissertations, and Final Projects

Purpose: Childhood trauma has detrimental immediate and lifelong impacts on health. Black and African Americans experience higher rates of potentially traumatic events (PTEs) than the general population. Religiosity, a common coping mechanism for many who experience trauma, could serve to moderate the impacts. This study examines whether the importance of religion buffers against the impact of childhood exposure to PTEs on adult perceptions of health and assesses whether social support and/or coping mediate the relationship between religiosity and perceived health.

Method: This study analyzed data from 2,537 Black and African American participants in the National Longitudinal Study of Adolescent to …

Cultivating Wellness: Nurturing Gratitude And Resilience, Brennan Lewis, Christi Welter, Elaine Beardsley, Alison Kell

Podcasts

This heartfelt discussion on the power of wellbeing and gratitude in nursing practiceoff ers practical strategies to gear up for the busy season, prioritize wellness and recognize the invaluable contributions of your nursing colleagues.

Super-Efficient Breach In Bankruptcy: Recalibrating Remedies For Contract Rejection Damages, Ishaq Kundawala

Emory Bankruptcy Developments Journal

Contract law rests on a simple but powerful premise: when a party breaches, the law protects the injured party’s expectation interest, placing them, as nearly as possible, in the position they would have occupied had the contract been performed. This principle underlies the theory of efficient breach, which tolerates economically rational breaches so long as the non-breaching party is fully compensated. But in bankruptcy, this foundation often collapses. Under section 365 of the Bankruptcy Code, a debtor may reject an executory contract, with the law treating that rejection as a prepetition breach and relegating the counterparty’s claim to general unsecured …

Mitigating Hysteresis In Metal-Coated Fibers Via Optimized Thermal Treatment For Advanced Distributed High-Temperature Sensing Applications, Koustav Dey, Rony Kumer Saha, Bohong Zhang, S. Narasimman, Farhan Mumtaz, Jeffrey D. Smith, Rex E. Gerald, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Metal-coated optical fibers are widely employed in sensing applications owing to their superior mechanical strength and corrosion resistance. However, their calibration at elevated temperatures is hindered by hysteresis, manifested as discrepancies between heating and cooling cycles, primarily caused by residual strain from mismatched thermal expansion coefficients (TECs) between the metal coating and silica cladding. This research introduces an optimal heat treatment procedure aimed at minimizing the impact of the mismatch in TECs between the cladding and the coating materials that causes the residual strain in gold (Au) and copper (Cu) coated fibers for achieving reliable distributed high temperature sensing up …

Enhancing Measurement Accuracy: The Impact Of Missing Data On Parameter Estimation In Mass-Spring-Damper Systems, Michkath Omanda Bouraima, Steven Thompson, Maciej J. Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In sensor-driven dynamic systems, missing data can severely degrade parameter estimation accuracy. This article investigates the impact of missing data on phase estimation in a mass-spring-damper system using an information-theoretic framework based on the Cramér-Rao Lower Bound (CRLB). Closed-form CRLB expressions are derived for four scenarios: complete data, missing completely at random (MCAR) deletion, MCAR-based imputation, and missing at random (MAR) missingness via a selection-weighted formulation. These bounds are used as theoretical benchmarks to evaluate classical imputation methods (last observation carried forward (LOCF), linear interpolation) and advanced approaches (Kalman filtering, Rauch-Tung-Striebel (RTS) smoothing, Bayesian inference, and transformer-based imputation) through Monte …

Online Lifelong Optimal Adaptive Control Of Partially Uncertain Strict Feedback Discrete-Time Systems With Application To Quadrotor Uavs, Maxwell Geiger, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This article considers the infinite time horizon optimal adaptive tracking control of partially uncertain strict feedback discrete-time (DT) systems with application to quadrotor uncrewed aerial vehicles (UAVs). First, the strict feedback DT system is transformed into an equivalent affine nonlinear DT system in terms of the tracking error dynamics. The optimal adaptive tracking control problem is solved using an augmented system approach, where a horizon of future bounded reference trajectory points is used in the augmented state, when compared to using a single point. It is assumed that the internal dynamics of the strict feedback system are unknown, but the …

Real-Time Multiregional Market-To-Market Congestion Management Through Exchange Of Relief Cost Curve, Haotian Chen, Yonghong Chen, Jose Daniel Lara, Jarrad Wright, Matthew Bossart, Sebastian De Jesus Machado, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces a novel method for multiregional market-to-market (M2M) coordinated congestion management. It identifies shortcomings in existing M2M approaches, where Regional Transmission Organizations (RTOs) exchange shadow prices and relief requests to optimize congestion relief allocations across interconnected regions. Two methods are proposed to enhance flow and price convergence. The first method proposes that both Regional Transmission Organizations (RTOs) use state-estimator flows directly to determine relief requirements, eliminating delays and potential oscillations caused by using market flows calculated from the prior period under existing M2M approach. The second method involves exchanging transmission relief cost curves, enabling each RTOs to integrate …

Transformer-Customer Relationship Identification Based On Load-Switching Fluctuation Characteristics Considering Same-Feeder-Adjacent-Transformer Condition, Yanan Zhang, Gan Zhou, Yuyuan Liu, Wei Gu, Yanjun Feng, Yujue Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Accurately identifying the connectivity between transformers and downstream three-phase customers in low-voltage distribution networks is challenging, because voltage curves of different phases and nearby nodes can be weakly distinguishable, especially when adjacent transformers on the same feeder serve geographically close customers with highly similar voltage curves. This paper proposes a novel method based on load-switching fluctuation characteristics recorded by smart meters. By extracting localized current and voltage fluctuations and establishing correlation matching, the method overcomes the limited discriminability using steady-state measurements. The method operates in two stages: first, switching-induced fluctuation characteristics are extracted and matched to cluster customers by the …

Deep Learning Based High-Resolution Electromagnetic Inversion Imaging Using Deep Convolutional Double-Module Structure, He Ming Yao, Shiji Song, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel deep learning (DL) approach has been proposed to realize high-resolution electromagnetic (EM) inversion imaging. The newly proposed approach is based on the deep convolutional double-module structure (DCDMS), consisting of the pixel-interpolating module and the corresponding quality-improving module. While the pixel-interpolating module roughly increases the 'resolution' of the initial input, the following quality-improving module realizes quantitative EM imaging in high resolution. The input of the proposed DCDMS adopts the mixed input scheme, consisting of the received EM scattered field and the initial reconstruction in much low resolution computed from Gauss-Newton method. The output of the proposed …

Event-Based Predefined-Time Synchronization For Complex Networks With Deception Attacks: An Asynchronously Intermittent Strategy, Lei Xue, Jiong Yu, Haoyu Zhou, Yongbao Wu, Jian Liu, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article studies the practical predefined-time synchronization (PPTS) for complex networks (CNs) under deception attacks based on the asynchronously intermittent event-triggered control (AIE-TC). Notably, AIE-TC effectively integrates the advantages of asynchronously intermittent control (AIC) and event-triggered control, where AIC provides each subsystem node with independent control and rest intervals. Besides, all synchronization errors of the CNs converge to an adjustable neighborhood within the predefined time by designing a bounded time-varying function into the controller. Moreover, this article considers that the transmission network is subjected to stochastic deception attacks modeled by a Markov process, which captures the state-driven dynamic transition characteristics …

Deep Learning Approach For Microwave Imaging Based On Deep Convolutional Asymmetric Encoder-Decoder Structure And Physics-Induced Loss, He Ming Yao, Shiji Song, Michael Kwok Po Ng, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we introduce an innovative deep learning (DL) methodology designed for real-time quantitative microwave imaging (MWI). Our approach is centered around the utilization of a deep convolutional asymmetric encoder-decoder structure (DCAEDS), which requires only a single-frequency far-field measurement of the electromagnetic (EM) scattered field as input and subsequently predicts the contrasts (permittivities) of the target materials. During the offline training process, we incorporate an EM forward solver specifically crafted to compute the EM scattered field generated by the predicted target contrasts (permittivities) produced by the DCAEDS. The DCAEDS is seamlessly integrated with this EM forward solver to optimize …

Prevalence Of Diabetic-Nephropathy In Children And Adolescents With Type-One- Diabetes Mellitus: A Recent Perspective, Randa Mohamed Darwish, Ayat Ibrahim Ghanem, Jehan Ibrahim Altohamy, Dina Mahmoud Khalifa

Journal of Medicine in Scientific Research

Background Among the most important microvascular complications in Type-one-Diabetes Mellitus (T-1-DM) in adolescents and children, Diabetic-nephropathy (DN) stands high. Early detection is crucial to prevent its progress to chronic kidney disease. Objective This study was designed aiming at the elaboration of an updated prevalence for Diabetic-nephropathy and to identify the risk factors among pediatric patients age group with T-1-DM . Methods The present cross-sectional-study was conducted starting from September 2023 to September 2025 including a group of 100 cases of adolescents and children with T-1- DM (aged 5–16 years) and 100-matched age and sex healthy control group. Clinical evaluation included …

Insurance And Chapter 11 Bankruptcy: Is The Insurance Neutrality Doctrine Dead?, Mikaela Deleon

Emory Bankruptcy Developments Journal

Insurers have traditionally been denied “party in interest” status under the Bankruptcy Code due to the longstanding insurance neutrality doctrine. The insurance neutrality doctrine prevents insurers from challenging a chapter 11 bankruptcy plan as a section 1109(b) “party in interest” if the plan does not increase the insurance company’s liability from pre-bankruptcy levels. If none of their rights or obligations were impacted by the plan, insurance companies were previously left without a means to challenge a proposed reorganization plan. As a result, insurance companies providing liability insurance to corporations stricken with mass tort lawsuits ran the risk of becoming the …

Asbestos 2.0: A Looming Disaster At The Intersection Of Pfas Litigation And The Texas Two-Step––Even After Purdue Pharma, Tyler Sheridan

Emory Bankruptcy Developments Journal

Companies that have manufactured, processed, or sold per- and polyfluoroalkyl substances (“PFAS”), also known as “forever chemicals,” face mounting financial pressure as the number of claims against them skyrocket. With billions of dollars already allocated to settlements and new lawsuits continuously filed, liable corporations may utilize the Texas Two-Step to minimize financial risk. The maneuver would enable solvent companies to isolate PFAS liability and discard it into bankruptcy, potentially delaying and capping payouts for claimants in the process. Third-party releases have survived Purdue, leaving the forum’s ability to permanently resolve mass tort liability intact. Moreover, escalating litigation may prompt …

Does Textualism Constrain Supreme Court Justices?, James J. Brudney, Lawrence Baum

Faculty Scholarship

A principal justification for textualism is the constraint hypothesis. Conservative Justices and leading textualist scholars contend that—in stark contrast to reliance on legislative history—focus on the ordinary meaning of enacted text leaves little room for the Justices to be policy-oriented or ideological in their interpretations. This Article represents the first systematic study probing the validity of the constraint hypothesis, one that employs both quantitative and qualitative analysis.

The Article examines the Justices’ reliance on interpretive resources in over 660 statutory decisions in the field of labor and employment, decided by the Burger Court, the Rehnquist Court, and the Roberts Court—during …

Why Are Executions Becoming Crueler?, Deborah W. Denno

Faculty Scholarship

Since the modern death penalty era, this country’s six execution methods have become crueler over time. This article details the execution procedures adopted across death penalty states up to the end of 2025, analyzing their societal and cultural underpinnings and explaining how they were implemented, including their shared flaws, unscientific origins and protocols, and reliance on untrained, unqualified, or unknown executioners. While legislatures and courts claim that states move from one technique to the next to enhance greater humaneness, history shows that such switches are primarily propelled by constitutional challenges to a state’s particular technique. In theory, rendering a state’s …

The Surveillance Of System-Adjacent Individuals, Mariam A. Hinds

Faculty Scholarship

Although the Fourth Amendment protects against “unreasonable searches and seizures,” this right is not enjoyed by all people equally. Supreme Court jurisprudence has curtailed the Fourth Amendment privacy rights of individuals under probation or parole supervision. In this line of cases, the Court concluded that the government’s interest in monitoring supervisees, reducing recidivism, and promoting public safety outweighed their reasonable expectation of privacy.

However, surveillance mechanisms like probation and parole extend the criminal legal system’s carceral gaze beyond the supervisees and peer into the bedrooms and digital lives of their families, roommates, and communities, or who this Article calls system-adjacent …

Should Statutory Interpretation And Contract Interpretation Be Harmonized?, Ethan J. Leib

Faculty Scholarship

This paper develops four case studies about how states have harmonized or separated their statutory interpretation regimes and their contract interpretation regimes.  After exploring the choices of Texas, Alaska, New York, and Alabama—all of which take different approaches to their lumping or splitting—the paper seeks to make state courts more aware of what their options are; to help states think about whether their commitments to formalism or contextualism make sense to apply in both domains; and to help them evaluate their meta-choices about whether to bring their interpretive regimes closer together or further apart.

Brokering Safety, Chinmayi Sharma, Thomas E. Kadri, Sam Adler

Faculty Scholarship

For victims of abuse, safety means hiding. Not just hiding themselves, but also their contact details, their address, their workplace, their roommates, and any other information that could enable their abuser to target them. Yet today, no number of name changes and relocations can prevent data brokers from sharing a victim’s personal information online. Thanks to brokers, abusers can find what they need with a single search, a few clicks, and a few dollars. For many victims, then, the best hope for safety lies in obscurity—that is, making themselves and their information harder to find.

This Article exposes privacy law’s …

An Empirical Study Of Malingering In Insanity Cases Across Twelve Decades, Deborah W. Denno

Faculty Scholarship

The last 120 years have seen a surge in the use of neuroscientific evidence in American criminal law cases, fueled by discoveries in brain science that have challenged the legal system’s assumptions about human thinking and culpability. One key assumption is that many defendants “malinger,” that is, feign or fake insanity or mental illness, to garner an acquittal or mitigated punishment. Likewise, when potential evidence that a defendant is malingering is introduced in court, it can have a pronounced and powerful negative effect on the defendant’s insanity claim, especially when juries and criminal justice actors are already skeptical of insanity …

Women's Work And Wealth: Measuring The Impact Of Incremental Liberations, 1850-1870, Hannah Kelly

Williams Honors College, Honors Research Projects

Using a two-way fixed effects difference-in-difference model, this project analyzes data from the IPUMS Full Count census for 1850, 1860, and 1870 at a state level for 48 states. Four models assess the impact of property laws on women's real property holdings, labor force participation, household types, and real property values.

By quantifying the impact of various legal reforms on women's economic empowerment, this project fills a gap in the understanding of the intersection between law, society, and women's economic agency during a transformative period in pre-industrial American history. These impacts can implicate the effectiveness of legislative measures in advancing …

Supporting Mothers Within The Criminal Legal System: Programs In Akron And Perceptions Of “Good Motherhood”, Brynn R. Lewis

Williams Honors College, Honors Research Projects

This paper examines the programs and support systems available in Akron, Ohio, for mothers involved in the criminal legal system, including defendants, survivors, and other justice-involved individuals. Using qualitative interviews (n = 6) with professionals across courts, legal defense, community corrections, and advocacy organizations, this study examines how local institutions provide resources and support to mothers. Findings indicate that while programs aim to promote stability and rehabilitation, mothers face persistent barriers such as limited access to transportation, childcare, and communication, as well as heightened stigma tied to societal expectations of caregiving. These findings reveal that institutional support both reflects and …

Synaptic Connectivity Of Rod Bipolar Cells In The Mouse Retina: A Connectomic Analysis Using Webknossos, Harold F. Eshun

Williams Honors College, Honors Research Projects

Rod bipolar cells (RBCs) are key interneurons in the mouse retina that transmit signals from rod photoreceptors to downstream amacrine and ganglion cells under scotopic (low-light) conditions. Although their general morphology and function are well established, the fine-scale organization of their synaptic inputs and outputs remains incompletely characterized. This project aims to map the pre- and postsynaptic partners of a fully reconstructed rod bipolar cell using the Yu volume, a serial block-face electron microscopy dataset from the ventral retina of an adult wild-type mouse. Using the webKnossos platform, I identify synaptic ribbons in the axon terminals of the rod bipolar …

Reconstructing Lost Voices, Lana Tamim

Williams Honors College, Honors Research Projects

This project uses digital text mining tools (OCR, NLP, sentiment analysis, and topic modeling) to analyze 19th–20th-century newspaper archives, focusing on how marginalized groups (women, immigrants, or labor workers) were historically portrayed. Many historical newspapers were dominated by elite voices, so this project aims to recover silenced or misrepresented perspectives by identifying hidden patterns in language, frequency of coverage, sentiment, and shifts in public perception over time. Using machine learning and visualization tools, the project will create interactive maps and timelines showing how representation evolved across regions.

Immigration As A Catalyst To The Far-Right: The Case Of Vox And Spain, Evelyn R. White

Williams Honors College, Honors Research Projects

Over the last decade or two, the world has witnessed a global rise in the popularity and success of far-right wing parties. This new era of the radical right raises questions of what is causing and fueling these political movements. Political Scientists have identified several contributing factors from the global economic crisis of 2008, the migrant crisis of 2015 and the global pandemic in 2020. This research paper aims to demonstrate how immigration acts as a catalyst to the far-right by intersecting with political science ideologies and other variables. The focus of this paper is how the Vox Party found …

Expanding State Tax Authority: Public And Private Sector Impacts Of Wayfair, Maxwell Pastoria

Williams Honors College, Honors Research Projects

The 2018 Supreme Court decision in South Dakota v. Wayfair, Inc. (Wayfair) overturned the longstanding physical presence rule for state sales tax collection, enabling states to enforce tax obligations on remote sellers through marketplace facilitator and economic nexus laws (Oyez, 2018). This study investigates the effects of these two post-Wayfair tax laws on state sales tax revenues, entrepreneurship, and public expenditures across all 50 states. Using a two-way fixed effects difference-in-differences (TWFE DID) framework, this research analyzes how policy adoption influenced per-capita outcomes in tax revenue, firm formation, and government spending in social services, education, infrastructure, and …

Pitch Report: Purdue Ivy Tech Chips Evaluation Report, Jennifer Sdunzik

Evaluation and Learning Research Center Reports

The Purdue Ivy Tech CHips (PITCH) program is a university-industry-community partnership aimed at developing an educational pipeline capable of providing a qualified workforce for the growing semiconductor industry in the region. Increasing student interest in microelectronics, awareness of current and future microelectronics careers, and self-efficacy to pursue microelectronics opportunities are foundational to building the industry’s workforce. The PITCH program addressed these needs by offering a summer experience that introduced high school students to the semiconductor industry.

The PITCH leadership team engaged Purdue's Evaluation and Learning Research Center (ELRC) to (1) identify (short and longer-term) impacts of the summer program on …

Locked And Loaded: The Truth Behind Gun Violence, Alana N. Shroyer

Williams Honors College, Honors Research Projects

Gun control remains one of the most controversial policy issues in the United States. While gun reform advocates argue for stricter firearm regulations to reduce gun violence, pro-gun advocates contend that crime is driven more by individual behavior, socioeconomic conditions, and mental health than by gun availability alone. This research project examines gun control laws in the United States, analyzes gun violence data, explores illegal firearm trade markets, compares international approaches, and evaluates whether gun control laws effectively reduce violence while preserving constitutional rights.

Feminism, Domestic Abuse And The Singer-Songwriter, Kathryn Ferguson

School of Art, Design and Architecture Theses

This project explores how feminism and domestic abuse can be articulatedthrough songwriting. Research in music therapy, sociology and popular musicincreasingly speaks to the value of songwriting as a tool for personal andcommunity empowerment, but there is space to actively use songwriting toexplore feminist issues independently of the traditional commercial context ofpopular music. Existing feminist music has been deemed as at its mostsuccessful when it is linked clearly to social change in our communities(Greene, 2017, p.8). Modern popular feminist songwriting has been criticised fornot going far enough in deconstructing systemic patterns of patriarchy (Tong,2024, p.9). Considering this, engaging with academic research …