Digital Commons Network^™

Herbivore Identity And Species Richness Shape Fruit Chemical And Quality Responses To Foliar Herbivory, Xavier Ozowara, Taylor M. Sloey, Susan R. Whitehead

Biological Sciences Faculty Publications

The cascading consequences of foliar herbivory on fruit chemistry and quality remain relatively underexplored, with most existing studies focusing on the effects of only one or two attackers. In this study, we examine how increasing herbivore species richness during foliar herbivory alters strawberry (Fragaria × ananassa Duch) fruit quality and phenolic chemistry. We conducted a greenhouse experiment with single species feeding and different combinations of feeding by three generalist lepidopteran species: Spodoptera frugiperda, Heliothis virescens, Helicoverpa zea. Species fed on leaves for 72 h as fruits ripened, and fully ripe fruits were harvested 72 h after …

Leveraging Cross-Reactivity For Dual Serological Detection Of Closely Related Schistosoma Species, Oyetunde T. Oyeyemi, Lisa M. Shollenberger

Biological Sciences Faculty Publications

Schistosomiasis is a disease of poverty that is highly prevalent in Sub-Saharan African countries. Cross-reacting proteins in Schistosoma mansoni (Sm) and S. haematobium (Sh) have been reported to pose diagnostic challenges. Proteins from these two parasites may help overcome diagnostic limitations caused by cross-reactivity and poor species discrimination in serological assays. The study aims to identify cross-reacting protein markers from S. mansoni and S. haematobium for possible concurrent diagnosis of the two parasites. High-quality protein extracts were prepared from the eggs (soluble egg antigen, SEA) and adult worms (Schistosoma worm antigens preparation, SWAP) of S. haematobium and S. mansoni …

Exploring The Influence Of A Longitudinal Small-Group Mentorship Course On Occupational Therapy Graduates’ Professional Identity Formation, Tosh Whitley, Lovejot Mangat, Susan G. Rappolt, Daniela Testani, Siobhan Donaghy, Lynn Cockburn, Sylvia Langlois, Ruheena Sangrar, Eric Lee, Rachel Roby, Erin Knobl, Susan Hannah, Anne Fourt, David Gerstle, Naomi Davids-Brumer, M. Shone Joos

Journal of Occupational Therapy Education

Professional identity formation is a critical aspect in facilitating the transition of healthcare professionals into entry-level practice. Previous literature has highlighted the benefits of mentorship in shaping professional identity formation among healthcare learners. However, few studies have explored longitudinal small-group mentorship courses on professional identity formation in entry-level occupational therapists. The aim of this study was to explore the perspectives of graduates on whether pre-certification mentorship influenced their professional identity formation. Online surveys, comprising open-ended and fixed-choice questions, were collected from graduates of a professional Master of Science in Occupational Therapy (MScOT) program across four cohorts (2020-2023) who completed a …

Emotional Labor, Well-Being, And Community Care In Student Conduct Administration, Tiffany M. Shierling, Kelly A. Burlison

College of Education Faculty Publications & Presentations

This explanatory sequential mixed-methods study examined emotional labor, stress, and coping among student conduct administrators (SCAs). SCAs work in emotionally intensive, high-stakes environments that require balancing student development, institutional risk management, and legal compliance. Despite clear parallels to other helping professions, the emotional toll of student conduct work remains underexamined. Grounded in self-compassion theory and resilience theory, this explanatory sequential mixed-methods study examined the emotional labor demands, stressors, and coping strategies experienced by SCAs in higher education. Quantitative (n = 101) findings revealed strong relationships among stress, burnout, and anxiety, while individual self-care practices offered limited protection without institutional support. …

Toward Neurosymbolic Reinforcement Learning Via Editable Specifications, Vedant Khandelwal, Hong Yung Yip, Amit Sheth

Publications

Reinforcement learning systems are commonly adapted to new settings by retraining or fine-tuning policies. This default is costly, difficult to audit, and poorly aligned with structured requirement changes such as revised safety rules, new operational constraints, or updated user preferences. We argue for an alternative abstraction: adaptation via edits to an external, human-readable specification that the agent consults at execution time. We propose conditioning decision-making on an editable knowledge graph encoding (i) rules capturing action applicability and high-level effects, (ii) hard constraints defining feasibility, and (iii) soft preferences shaping tradeoffs among feasible behaviors. Requirement changes become graph edits, not policy …

Dyno : Dynamic Neurosymbolic Orchestrator For Multi-Agent Systems, Ritvik Garimella, Chathurangi Shyalika, Renjith Prasad, Amit Sheth

Publications

Large Language Model (LLM)-based multi-agent systems (LaMAS) represent an emerging paradigm for tackling complex, multi-step reasoning and decision-making problems. As these systems scale, orchestration, which is the ability to coordinate, manage, and evaluate the interactions among diverse agents, becomes central to their success. While recent orchestrators such as AgentFlow have demonstrated promise in managing communication and task delegation, they remain limited in their ability to understand task semantics, coordinate heterogeneous agent types (e.g., reactive vs. cognitive), and adaptively align outputs with human-defined goals. In this position paper, we introduce the DYNO (Dynamic Neurosymbolic Orchestrator), a system developed as part of …

100 Conversation Starters To Develop Student Critical Thinking In Intermediate And Financial Accounting Courses, Joe B. Hoyle

Bookshelf

INTRODUCTION

Why create a book containing nothing but accounting problems?

The genesis of an idea is often difficult to recall, but I can trace the creation of this project to a single sentence found in a specific book.  One recent summer, to help prepare myself for the upcoming academic year, I began reading Why Don’t Students Like School? by Daniel T. Willingham.  On page 16 of the dog-eared copy I acquired on the Internet, I was drawn to a key sentence like a moth to a flame.  The words were buried rather unobtrusively within a long paragraph but, for me, …

Bodies Of A People: Disability, Community, And Critical Volkskörper On The Post-1900 German Stage, Caroline Weist

Bookshelf

Bodily imagery abounds when we talk about collectives and those who live in them: a people can be “crippled” by a natural disaster, pronounced “healthy” after an economic upswing, beset by an “epidemic” of a new social woe. However, we lack a precise vocabulary to address the complexity of such embodied collectivity – namely, one that bridges metaphor and material in a way that reflects a range of lived experiences. In response to that need, Bodies of a People develops a framework from critical disability studies, crip theory, and performance studies to offer Volkskörper (“body of a people”) to Anglophone …

Assessing The Criticality Of Construction Trades: Skilled Labor Shortages And Their Cost And Schedule Impacts, Tamima Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Skilled labor shortages are a pressing issue in the construction industry. Existing research has primarily focused on the effects of labor shortages at the project or industry level, but there is limited exploration of how these shortages vary across specific trades and their distinct impacts on project outcomes. Evidence indicates that labor shortages vary significantly among trades. This paper addresses this knowledge gap through quantitatively assessing the criticality of key construction trades based on the (1) extent of skilled labor shortages currently witnessed in each trade, (2) impact of these shortages on cost and schedule performance, and (3) degree of …

Environmental Engineers Develop Solutions To Problems Of Planetary Health: The Legacy Of Professor P. Aarne Vesilind, Daniel B. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The principal ethical obligation of the engineering profession, to "hold paramount the health, safety, and welfare of the public," has been challenged for decades. Professor P. Aarne Vesilind identified two primary deficiencies: an anthropocentric bias that values nature only instrumentally and the use of non-mandatory, aspirational language for environmental protection, which resulted in the exclusion of enforceable environmental canons. This paper argues that two recent developments provide a comprehensive response to Vesilind's recommendations for engineering ethics. First, the United States Bureau of Labor Statistics has redefined environmental engineering as "developing solutions to problems of planetary health." Second, Oerther proposed a …

Covering The Care: Medical Debt: A Uniquely American Issue, Kimberly Persson

All Materials

Healthcare is one of the most prominent issues facing Americans due to issues of affordability, access, and potential for debt.¹ A July 2025 poll from Kaiser Family Foundation indicates that approximately half of U.S. adults say it is difficult to afford healthcare costs and about one third of adults say they have postponed care in the last year because of the cost.² According to a 2024 New Hampshire specific survey, 69% of adults have delayed or gone without healthcare due to cost, 71% of adults have experienced a healthcare affordability issue in the past year, and more than …

Covering The Care: The Fourth Trimester, Susy Hawes

All Materials

The weeks following the birth of a baby are often described as a time of extremes: profound joy paired with deep exhaustion, vulnerability, and adjustment. For birthing people, this period involves physical recovery from childbirth, dramatic hormonal shifts, disrupted sleep, learning to feed and care for an infant, and navigating major emotional changes. While some new parents have strong support systems, others face isolation, housing instability, or unsafe home environments. This critical 12-week period after birth is now widely known as the “fourth trimester.” Although the language is new, the reality is not. Across cultures and history, the postpartum period …

Physical Activity Among Active-Duty Us Military Servicemembers With Overweight And Obesity, Natalie M. Yarish, Jessica L. Morse, Jennalee S. Wooldridge, Erin E. Dooley, Niloofar Afari

Exercise Science Faculty Publications

Background

To examine physical activity (PA) among US military servicemembers (SM) with overweight and obesity (OW/OB) and if they meet Physical Activity Guidelines (PAG). To assess differences in PA by sex and associations between PA and body composition.

Methods

PA duration and intensity were objectively collected via accelerometers and self-reported daily average via self-report International Physical Activity Questionnaire (IPAQ) among US active-duty SM (n=113, 58% female, Mean BMI = 33.3 ± 3.9 kg/m2). Sex, body mass index (BMI), and body fat % (BF% via circumference and an equation) were measured. Accelerometer PA and sedentary time were computed for IPAQ categories …

Gastrointestinal Symptoms Associated With Sodium Bicarbonate Supplementation Protocols: A Systematic Review, Ian P. Winter, Paul Sarac, Patrick B. Wilson

Exercise Science Faculty Publications

Sodium bicarbonate positively impacts performance, but its associated gastrointestinal symptoms (GIS) may limit use. This systematic review synthesized literature that has evaluated GIS with sodium bicarbonate supplementation. Literature searches were performed from February 2024-March 2026. Eligible studies provided ≥ 5 g of sodium bicarbonate within a 24-h period or, if a multi-day protocol, at least one day involving ≥ 5 g. Included studies had a placebo group/condition or a comparison group/condition that created a contrast related to delivery method, form, or dose. In total, 101 investigations were summarized in six categories: acute single dosing (n = 35); acute spread dosing …

Wearable Sensor-Based Phase Segmentation Analysis Of Front Crawl Swimming: A Scoping Review, Jonathan Simoes, Samuel Aylward, Daniel Hamze, Daniel James Goble, Daniel M. Russell, Joshua Haworth

Exercise Science Faculty Publications

Front crawl swimming stroke phase segmentation has historically relied on video analysis, but the development of wearable sensor technology has created new opportunities for automated phase segmentation. This scoping review mapped the available evidence on wearable sensor-based stroke phase segmentation methods in front crawl swimming, following PRISMA-ScR guidelines. A systematic search of SPORTDiscus, Web of Science, and IEEE Xplore conducted from January to June 2026, identified 15 eligible peer-reviewed studies published between 2000 and 2024. The review revealed an emerging field of research that has converged methodologically around inertial measurement units (IMUs) and the Chollet phase segmentation framework while remaining …

Leveraging Ai, Iot, And Predictive Analytics For Crisis Management And Urban Resilience In Dubai, Suhail Bin Kalli

Theses

The thesis will discuss how smart technologies could be incorporated in the crisis management structures of Dubai to make the city more resilient. As Dubai grows more urbanized, it experiences increased problems with managing its crisis especially in the high population density places, traffic congestion, utility disruption, and extreme weather. This paper discusses how artificial intelligence (AI), the Internet of Things (IoT), and predictive analytics can be used to ameliorate the response to emergencies, manage the allocation of resources, and enhance the coordination between different agencies. The crisis management systems at Dubai are still ineffective despite the level of technologies …

Cultural Crossroads: Dubai's Cultural Influence On Mobility & The 20-Minute City Feasibility, Hiba Malik

Theses

The research explores the feasibility of the 20-minute city concept in the context of Dubai, an idea that was first proposed by Professor Carlos Moreno in 2016. While this model, which is based upon the theory that residents should be able to reach essential services within a certain time (i.e., 15 or 20 minutes), has been adopted globally in various cities across the world, its application within non-Western, high- income, car-dependent settings remains largely unexplored. For this reason, this study analyzes the 20- minute city concept in Dubai s unique context within its sociocultural, climatic, and cultural settings in the …

Enhanced Pulsar Timing Precision For The Era Of Nanohertz Gravitational Wave Astronomy, Sofia V. Sosa Fiscella

Theses

In 2023, several international collaborations comprising the International Pulsar Timing Array achieved a major scientific milestone with the first detection of a signal in pulsar timing observations consistent with the signature expected from a stochastic gravitational wave background, created by an ensemble of unresolved supermassive black hole binaries in the early Universe. The next breakthrough in the field is expected to be the first detection of a continuous wave from a single such binary, which would allow us to better understand their evolution and that of our Universe. However, this feat will require unprecedented precision in our timing measurements. To …

A Novel Nephron: 3d Visualization Of Glomerular Filtration In The Kidney, Cassie Young

Theses

Renal physiology, particularly the process of glomerular filtration, remains one of the most conceptually challenging topics in medical education due to its microscopic scale, dynamic pressure relationships, and structural complexity. Understanding how plasma passes through the glomerular filtration barrier requires spatial reasoning across multiple levels—from the gross anatomy of the kidney to the ultrastructure of capillaries, podocytes, and the glomerular basement membrane. This thesis addresses these challenges through the development of a scientifically accurate three-dimensional (3D) animation that illustrates glomerular filtration within its anatomical and physiological context. Designed as a visual teaching aid, the animation aims to improve comprehension of …

Dna Landscape Tool: An Interactive Webpage, Kerstyn Gay

Theses

Deoxyribonucleic acid (DNA) is a molecule that carries genetic information that makes up every organism. DNA is typically introduced into the biology curriculum starting in high school and depending on an individual's educational path can continue through college. Although taught frequently during school, elements of DNA can be difficult for students to grasp, due to the different visual representations of DNA found in various resources. For instance, when comparing an illustration of a chemically accurate nucleotide base to an abstract visualization of a chromosome learners often aren’t given enough scaffolding to see how one representation relates to the other, which …

Understanding Computer-Mediated Human Experience In Digital-Physical Hybrid Space, Jiangnan Xu

Theses

With the rapid development of mobile and immersive technologies, the boundary between the digital and real world is increasingly blurred, giving rise to hybrid spaces. Hybrid spaces have permeated daily life and reshaped spatial meaning-making and social interaction. Despite their growing prevalence, empirical understanding of human experiences in hybrid spaces remains limited. If left unexamined, hybrid spaces risk becoming technology-centered rather than human-centered environments that overlook socio-cultural dimensions, potentially leading to harmful consequences for individuals and society. To investigate human experience in hybrid spaces, this thesis comprises five studies and uses gameful systems as research probes. Prior literature identifies collaboration …

Predicting Student Academic Performance Using Behavioural And Parental Engagement Data From Learning Management Systems, Saeed Alfalasi

Theses

This paper explores how behavioral, academic, and parental engagement data provided within the xAPI-Edu-Data dataset can be used to predict the academic performance of students when training on machine learning models with supervised learning. Due to the developing demands of the data-driven initial selection of the learners under risk, the study will create a valid and explainable predictive model that can consider the most significant factors of student success in Learning Management System (LMS). The research is based on behavioral engagement and self-regulation learning theories; the observations included in the analysis of student interaction, i.e. resource usage, classroom engagement and …

Predicting Undergraduate Fallout And Success, Ammar Ahmed Alzarooni

Theses

Universities need to uncover students who are likely to drop out early and do something about it. It should be easy to find and use this information. This thesis evaluated interpretable machine-learning models (MLMs) for predicting three final student outcomes including Dropout, Enrolled and Graduate, using solely demographic, administrative/financial and first-semester academic variables. Study employed publicly accessible Portuguese UCI student retention dataset (4,424 records) and incorporated end-of-Semester-1 feature window to prevent look-ahead leakage and align with actual advising cycles. We trained and compared models using stratified validation, explicit class-imbalance handling and decision-threshold optimization to make dropout detection most critical factor. …

Cochlear Micropump Drug Delivery System: A Noninvasive Technique For Murine Intracochlear Drug Delivery, Janette Collins

Theses

In a 2018 World Health Organization (WHO) study, over 400 million people worldwide were affected by hearing loss (World Health Organization, 2023). Cochlear implants have provided a conventional route to aid inner ear issues but are ineffective either delivering to unintended targets or delivering unknown concentrations of a particular drug and create toxicity to the user. With medical advances and using 3-D printing technology, new opportunities to use programmable drug delivery systems to treat auditory disorders have been created. Borkholder Labs in Rochester, NY have created and improved a miniaturized implantable and scalable peristaltic micropump that provides programmable and accurate …

Leveraging Open-Source Llms For Infrastructure Drift Detection And Correction, Kemoy S. Campbell

Theses

Infrastructure as Code (IaC) enables organizations to provision and manage infrastructure at scale using version-controlled, declarative specifications. Despite these advantages, infrastructure drift where deployed resources diverge from their intended configuration remains a persistent operational challenge and is often addressed manually and reactively. Recent advances in Large Language Models (LLMs) have accelerated their adoption within software engineering and DevOps workflows; however, the sensitive nature of IaC artifacts, particularly Terraform state files, has limited organizational willingness to rely on public LLM services for drift detection and remediation. This thesis investigates the feasibility of using open-source, self-hosted LLMs to assist with IaC drift …

Enhancing Json Schema Inference Via Semantic And Structural Modeling Of Heterogeneous Data, Justin R. Namba

Theses

Schema discovery is finding the structure of data. It helps users understand the meaning of data and write queries to manipulate it. This is typically easy for relational databases, but complex for non-relational (NoSQL) databases with documents. For relational databases, the schema is predefined because the data they contain is structured, but for NoSQL databases, data is usually unstructured or semi-structured. Here, we focus on a type of semi-structured data called JSON, which is a collection of documents that consists of nested key-value pairs. A JSON key and value are similar to a column name and its associated data instance …

Impact And Requirements Of Future Robots In The Urban Realm: Dubai Silicon Oasis Case Study, Abduljalil Abbasi

Theses

Robots are moving from factories and warehouses into the streets, sidewalks, and shared public spaces of cities, and Dubai Silicon Oasis (DSO) is at the forefront of this shift in the Gulf region. Through the Talabat ‘talabot’ autonomous delivery pilot, DSO has demonstrated that sidewalk robots can operate reliably in a hot-climate, mixed-use urban district, but this operational success has outpaced the governance frameworks, spatial design standards, and long-range planning foundations needed to scale deployment safely, inclusively, and sustainably to 2035. This thesis addresses that gap by asking how DSO can design and govern the integration of robots into its …

Hexahive: Simulating Vulnerability Bounty Economies Through Game-Theoretic Models, Lucille Blain

Theses

Bug bounty programs encourage security researchers to responsibly disclose software vulnerabilities by offering financial rewards, recognition, and opportunities to build long-term relationships with organizations. However, vulnerability discovery also creates competing incentives. A researcher may report a vulnerability through an official program, exploit it for passive income, trade information with other actors, delay disclosure, or seek compensation through alternative markets. These decisions are shaped by the expected value of rewards, perceived fairness of company responses, reputation benefits, competition, and the risk of penalties. Because directly observing these choices in real-world bug bounty programs presents ethical, legal, and practical challenges, controlled environments …

Quantification Of Pollutant Re-Introduction Through Ventilation Openings Into A Building: A Benchmark Based On Wind-Tunnel Experiments, Romain Guichard, Anjali Krishnan Radhakrishnan Jayakumari, Stefanie Gillmeier, Ali Bahloul

Études primaires

In occupational risk prevention, collective protection measures based on ventilation to reduce exposure to chemical hazards generally consist of containing a pollutant at its source, capturing it, and releasing it outdoors, after purification when it is applicable. However, unfiltered pollutants that are released can be re-introduced through ventilation air intakes or windows of the same building or neighbouring buildings, depending on wind conditions. Predicting the amount of pollutant re-introduced remains very challenging while essential to implement appropriate risk control measures. In this context, an experimental benchmark has been designed to quantify the dispersion and re-introduction of a pollutant in a …

Proactive Safety Reasoning In Human-Robot Collaboration In Disassembly Through Llm-Augmented Stpa And Fmea, Morteza Jalali Alenjareghi, Fardin Ghorbani, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Études primaires

Disassembly tasks in human–robot collaboration (HRC) environments present safety challenges due to hazardous materials, control system variability, and physically demanding operator tasks. To address these challenges, we propose an AI-augmented risk assessment framework integrating System-Theoretic Process Analysis (STPA) and Failure Mode and Effects Analysis (FMEA). This framework is implemented in four configurations: Term Frequency– Inverse Document Frequency (TF-IDF), Fine-tuned Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and RAG with a structured Knowledge Graph (KG) built from safety standards. The system supports real-time, standards-compliant safety reasoning by generating interpretable, context-specific recommendations. We evaluate these configurations across GPT-3.5 TURBO, GPT-4o, GPT-4.1, and …