Digital Commons Network^™

Impact Of Water Quality And Gear Type On Eastern Oyster (Crassostrea Virginica) Growth In Narragansett Bay, Ri, Jacqueline Rosa

Open Access Master's Theses

Oyster aquaculture is expanding in Rhode Island, yet key farming regions in the lower West Passage of Narragansett Bay (WPNB) lack the in-situ, high-temporal resolution monitoring needed to evaluate emerging stressors and support production. At the same time, the industry is undergoing rapid technological development aimed at improving production while reducing labor and overall costs. In recent years, a low-maintenance, alternative surface gear was introduced in WPNB; however, its impact on oyster performance relative to traditional cultivation methods has not been quantified. This study established a 1.5-year continuous water quality time series in WPNB and paired these observations with …

Development Of An Active Heave Compensation System On A Cost Effective Microcontroller For A Fiber Optic Tether Management System, Frances Truong

Open Access Master's Theses

Fiber optic tether systems are used for real-time data transmission to remotely operated vehicles (ROV) due to their ease of deployment and light weight, but are prone to damage from tension loads. An active heave compensation system applied to a fiber optic tether system can address these challenges by actively managing the tether payout to reduce peak loads. Tether management systems with active heave compensation have been in use for larger systems such as work class vehicles and offshore oil rigs, but few are developed for small maritime systems. This work focuses on the development and incorporation of an active …

Investigating Netarts Bay, Oregon Coastal Landscape Change From Tectonic Subsidence Through Isotopic, Stratigraphic Records And Quantifying Dune Influence On Salt Marsh Morphodynamics, Emily Hall

Open Access Master's Theses

Coastal salt marshes on tectonically active margins face dual pressures from episodic seismic events and anthropogenic modifications. This study investigated how the 1700 CE Cascadia Subduction Zone earthquake and the 1900 CE introduction of invasive dune grass influenced back-barrier salt marsh morphodynamics at Netarts Bay, Oregon. It was hypothesized that (1) salt marsh habitats and elevation transitions would be detectable in geochemical proxies preserved in stratigraphy, (2) modern dune stabilization significantly limits mineral sediment delivery to the salt marsh, and (3) this reduction would be preserved in the stratigraphic record. Stratigraphic and isotopic analyses of sediment cores incorporating CT scans, …

Amino Acid Isotope Dynamics And Associated Ecological Metrics Across Accretionary Tissues Of Marine Fishes, Sofia Piccone

Open Access Master's Theses

Compound-specific isotope analysis of amino acids (CSIA-AA) applied to the organic growth layers of accretionary fish tissues, including eye lenses, otoliths, and scales, has made it possible to reconstruct histories of fish physiology, ecology, and environmental conditions. Yet it remains uncertain whether amino acid isotope values, and the ecological information they contain, are conserved across these archival tissues or if differences in tissue composition, growth, protein structure, and metabolic routing produce tissue-specific offsets that alter inferred carbon sources, d¹⁵N_Baseline, and trophic position. We tested this question with individually paired CSIA-AA of eye lenses, otoliths, and scales …

Evolution Of A Managed Flood-Tide Delta And Barrier-Beach System, Charlestown, Rhode Island, Zachary Justin Levitan

Open Access Master's Theses

Barrier-beach and estuarine areas are important ecologically and economically, and the inlets connecting them are critical for ocean exchange and greatly dynamic. Man-made jetties are often installed to maintain the connection between ocean and estuary for navigation and water quality benefits. With storms and sea-level rise, coastal systems are changing over days to decades, affecting communities in New England and around the globe. This study utilized remotely sensed data (i.e., aerial imagery, lidar, and sonar) to examine the dynamics of the Charlestown Breachway and its flood-tide delta in southern Rhode Island, USA over varying times scales. The specific research objectives …

Gaze Transition Entropy And Automation Trust In Multitasking Workspace, Yusuke Yamani, Austin Jackson, Tetsuya Sato, Feyishola Ashimi, Michael S. Politowicz, Eric T. Chancey, Makoto Itoh

Psychology Faculty Publications

Safe flight operation requires visual scanning across multiple displays in a cockpit, which collectively represent the state of the aircraft and supporting automation. Trust is a crucial factor that drives human-automation interaction, and recent work has suggested a relationship between an operator's visual attention and automation trust. One index that captures predictability of eye movements between different areas of interest is gaze transition entropy. The current work reanalyzed data from Sato et al., which examined eye movement patterns and trust in automation associated with the system monitoring task of the Multi-Attribute Task Battery. Results showed credible positive correlations between the …

Can An Experienced Qualitative Researcher Distinguish Ai From Human Qualitative Content Analysis?, Alexandra T. Lucas, Jianna Ramos, Maria Bajwa, Aaron Calhoun, Mark W. Scerbo, Janice C. Palaganas

Psychology Faculty Publications

Background

Artificial intelligence (AI) has become increasingly embedded in research workflows. Large language models (LLMs) are being used to code segments of text, organise codes into themes and interpret patterns within contexts. Recent comparisons between human and AI analyses demonstrate up to 80% thematic overlap, yet humans consistently exhibit deeper interpretive integration and contextual understanding. This study assesses whether experienced researchers can distinguish between entirely human-generated and AI-generated qualitative content analyses of a simulation debriefing.

Methods

We conducted a qualitative descriptive study comparing human-generated qualitative content analysis (QCA) with ChatGPT-4o-generated QCA using a single focus group transcript on emotion management …

A Real-Time Examination And Comparison Of Differentiation Among Suicidal Thinking And Affect Items In An Adolescent Sample, Elizabeth A. Edershile, Kinjal K. Patel, Annabelle M. Mournet, Richard T. Liu, Catherine R. Glenn, Evan M. Kleiman

Psychology Faculty Publications

Suicide risk assessments require individuals to differentiate among types of suicidal thoughts (e.g., passive vs. active); yet most research relies on aggregate metrics that obscure this differentiation. Indeed, more severe forms of suicidal thinking are thought to involve the simultaneous experience of multiple forms of thoughts at high intensities. The present study draws on concepts from the affect differentiation literature to (a) examine different ways to operationalize differentiation in suicidal thinking and (b) compare differentiation in suicidal thinking with differentiation in affect. Adolescents (N = 200) recently hospitalized for suicidal thoughts and behaviors completed a 28-day ecological momentary assessment …

Assessing The Academic Performance Of Medical Students In Face-To-Face And Online Examinations: A Comparative Study From A Leading Medical College Of Peshawar, Pakistan, Rizwan Faisal, Iftikhar Qayum, Lia Anwar, Usama Afridi, Abdul Rahman, Rehan Ahmad

Health Professions Education

Background: The world of medical education is rapidly replacing the traditional face-to-face assessments of students by switching to online systems, and Pakistan is also undergoing this transition in its medical colleges and universities. It is therefore essential to obtain data on the performance of medical students in this new mode of assessment so that a smooth transition is enabled. Objective: To evaluate the academic performance of medical students in face-to-face and online examinations based on gender and professional year. Methods: A comparative study was performed at Rehman Medical College, Peshawar, Pakistan, from November 2023 to January 2024, on face-to-face and …

Climate Change Education In Medical Curricula: Integration, Collaboration, And Preparedness For Emerging Health Challenges, Sungkono Sungkono, Agus Santoso, Firdiawan Ekaputra, Firdian Makrufardi

Health Professions Education

Climate change poses increasing risks to global health, highlighting the need for healthcare professionals who understand the links between environmental change and health outcomes. Medical education is a key platform for fostering such competencies. This study aimed to examine the role of climate change education within medical curricula, focusing on its integration, the promotion of interdisciplinary collaboration, and its contribution to preparing students for emerging health challenges. This perspective paper provides an overview of current approaches to the integration of climate change education into medical training. Sources addressing curriculum design, knowledge acquisition, practical skill development, and collaborative learning were considered. …

The Predictive Ability Of Decision-Making For Cognitive Dissonance Among Nursing Students, Adnan Yousef Atoum, Omar Atallah Al-Adamat, Emran A. Abu Aqoulah, Aya Al-Ali, Marah Al-Smadi

Health Professions Education

Purpose: The present study aimed to examine the levels of cognitive dissonance and decision-making among nursing students at Irbid National University-Irbid, Jordan, and to investigate the predictive ability of decision-making for cognitive dissonance.

Method: The study sample consisted of (251) male and female nursing students at Irbid National University-Irbid, Jordan. The cognitive dissonance scale and the decision-making scale were used after assuring validity and reliability.

Results: The study results indicated that the level of cognitive dissonance was low, and the level of decision-making ability was high. The study results also indicated that decision-making variable explained 17.2% of …

Knowledge And Attitudes Of Medical Students About Research Methodology, Statistics, And Statistical Inference: An Assessment For Clinical Research Comprehension Skills, Laith Ashour, Lama Al-Mehaisen, Afnan Rababa, Osama Alrjoob, Moutaz Amayrh, Malak Al-Rabe'e, Qusai Al-Anasweh, Hala Al-Miqdadi, Nada Freihat, Mohammad Al Khreisha, Ala' Al Doaikat, Al-Mo'tasem Bellah Al-Rahamneh, Hamzeh Hatamleh, Fayez Zedat

Health Professions Education

Objectives: Medical students require a solid understanding of statistics in research papers. However, literature lacks sufficient studies on their proficiency, especially on Jordanian aspect. Methods: We performed a cross-sectional study on 361 medical students to evaluate their attitudes toward statistics, their knowledge in research methodology, and their ability to correctly interpret commonly used statistics in medical research. Statistical attitudes were assessed using three scales (value, difficulty, and interest) from the SATS-36 scale. Additionally, a novel author's-validated scale was created to measure students' research methodology knowledge. The scale validity was assessed using Confirmatory Factor Analysis (CFA). Multiple linear regression analysis was …

Large Language Scholarship, Alan Rozenshtein, Kevin Frazier

FIU Law Review

Generative AI isn’t just coming for the legal academy—the era of what we call “Large Language Scholarship” is already here. Law professors are using AI to write articles in weeks rather than months. Law reviews face an unprecedented deluge of AI-polished submissions. And the judges who increasingly lean on AI to help draft their own opinions will soon struggle to distinguish genuine insight from sophisticated imitation. Yet, existing scholarship offers only fragmented responses, trapped in misguided debates about plagiarism and disclosure while missing the full scope of the unfolding transformation.

This Article provides the first comprehensive analysis of how generative …

Computational Insights Into Orthotropic Fracture: Crack-Tip Fields In Strain-Limiting Materials Under Non-Uniform Loads, Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah

School of Mathematical & Statistical Sciences Faculty Publications

A finite element framework is presented for analyzing crack-tip phenomena in transversely isotropic, strain-limiting elastic materials. Mechanical response is characterized by an algebraically nonlinear constitutive model, relating stress to linearized strain. Non-physical strain singularities at the crack apex are mitigated, ensuring bounded strain magnitudes. This methodology significantly advances boundary value problem (BVP) formulation, especially for first-order approximate theories. For a transversely isotropic elastic solid with a crack, the governing equilibrium equation, derived from linear momentum balance and the nonlinear constitutive model, is reduced to a second-order, vector-valued, quasi-linear elliptic BVP. This BVP is solved using a robust numerical scheme combining …

Strong Q-Analogues For Values Of The Dirichlet Beta Function, Ankush Goswami, Tim Huber

School of Mathematical & Statistical Sciences Faculty Publications

An infinite class of relations between modular forms is constructed that generalizes evaluations of the Dirichlet beta function at odd positive integers. The work is motivated by a base case appearing in Ramanujan’s Notebooks and a parallel construction for the Riemann zeta function. The identities are shown to be strong q-analogues by virtue of their reduction to the classical beta evaluations as 𝑞→1− and explicit evaluations at CM points for |𝑞|< 1. We also determine asymptotic formulas for the Fourier coefficients of the associated modular forms.

A Conceptual Framework For Cognitive Engagement And Human Agency In Ai-Mediated Learning, Sam Rhodes, Zuhal Yilmaz, Terrie Galanti, Younggon Bae, Victoria Delaney, Zareen Gul Aga, Stephen Hutt

School of Mathematical & Statistical Sciences Faculty Publications

The purpose of this chapter is to propose a conceptual framework that unpacks AI use in instructional practice across three interrelated dimensions: human agency, cognitive demand, and AI orchestration. We ground this work in historical perspectives on technology's mediating role in education. We then propose the conceptual framework and three characterizations of the use of AI in school instruction: cognitive load reducer, cognitive capacity builder, and cognitive companion. We then illustrate a worked example of each, including a curricular example and sample student prompts, and conclude with questions that educators might ask themselves as they consider if and how to …

Optimal Quantization On Spherical Surfaces: Continuous And Discrete Models—A Beginner-Friendly Expository Study, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This expository paper provides a unified and pedagogical introduction to optimal quantization for probability measures supported on spherical curves and discrete subsets ofthe sphere, emphasizing both continuous and discrete settings. We first present a detailedgeometric and analytical foundation for intrinsic quantization on the unit sphere, includingdefinitions of great and small circles, spherical triangles, geodesic distance, Slerp interpolation,the Fréchet mean, spherical Voronoi regions, centroid conditions, and quantizationdimensions. Building upon this framework, we develop explicit continuous and discretequantization models on spherical curves, namely great circles, small circles, and greatcircular arcs—supported by rigorous derivations and pedagogical exposition. For uniformcontinuous distributions, we compute optimal …

Gain-Delay Decoupling In Human Stimulus Frequency Otoacoustic Emissions Reveals Constraints On Cochlear Nonlinear Amplification, Yoshita Sharma, Arturo Moleti, Renata Sisto, Teresa Botti, Hansapani Rodrigo, Sri Mishra

School of Mathematical & Statistical Sciences Faculty Publications

Purpose: The nonlinear cochlear amplifier, driven by outer hair cells, underlies the remarkable sensitivity and frequency selectivity of the mammalian auditory system. Stimulus frequency otoacoustic emissions (SFOAEs) provide a noninvasive window into these active cochlear processes, yet the relationship between emission gain and delay across stimulus levels remains incompletely understood. This study examined the level dependence of SFOAEs in normal-hearing human listeners to characterize cochlear nonlinear response properties. We tested how emission gain and delay vary with stimulus level and estimated the frequency of the apical–basal transition associated with the breakdown of the approximate local scaling symmetry.

Methods: SFOAEs were …

Fully Discrete Finite Element Methods For The Stochastic Kuramoto–Sivashinsky Equation With Multiplicative Noise, Hung D. Nguyen, Liet Vo

School of Mathematical & Statistical Sciences Faculty Publications

We investigate a fully discrete finite element approximation for the stochastic Kuramoto–Sivashinsky equation, combining the standard finite element methods in spatial discretization with the implicit Euler–Maruyama scheme in time. Rigorous error estimates are established for two distinct noise regimes. In the case of bounded multiplicative noise, we prove optimal strong convergence rates in full expectation. The analysis relies crucially on a stochastic Gronwall inequality and an exponential stability estimate for the PDE solution, which together control the interplay between the nonlinear drift and the multiplicative stochastic forcing. For general multiplicative noise, where boundedness no longer holds, we derive sub-optimal convergence …

Artificial Intelligence And Machine Learning In Smart Vaginal Formulation Development, Deborah A. Ogundemuren, Vivek Agrahari, Andrew P. Wong, Carolina Herrera, Margaret O. Ilomuanya, Gustavo F. Doncel

CONRAD Publications

Vaginal drug delivery in women's health remains underutilized and insufficiently studied, largely due to the complexity and dynamic nature of the vaginal microenvironment. Variations in vaginal pH, hormonal levels, and microbiota composition introduce significant biological variability, complicating formulation design and contributing to inconsistent therapeutic outcomes and poor patient adherence. Conventional vaginal formulations often fail to account for these individual differences, highlighting the need for more adaptive and predictive approaches. Emerging advances in artificial intelligence (AI) and machine learning (ML) offer promising strategies to address these challenges by enabling multi-parameter, data-driven formulation development that explicitly considers biological variability. Despite their transformative …

Una Nueva Herramienta Para Estimar El Volumen Muscular Independientemente De La Edad, El Sexo Y El Nivel De Actividad Física, José J. Rivera-Sánchez, Laura P. Burgos-Morelos, Daniel Castillo-Castillo, Gerardo Méndez-Suárez, Juan C. Lopez-Alvarenga, Damián Carrillo-Ruíz

School of Medicine Publications

Antecedentes: Actualmente, la evaluación del volumen muscular requiere técnicas invasivas o de imagen, lo que aumenta los costos y retrasa la evaluación, y las mediciones antropométricas con frecuencia son inexactas.

Objetivo: Desarrollar una fórmula matemática para estimar el volumen del cuádriceps.

Material y métodos: Se evaluaron 127 sujetos: 40 adultos sedentarios de 20 a 35 años, 47 atletas adultos de 20 a 45 años y 40 adultos sedentarios de 70 a 94 años. Se dividieron en grupos de desarrollo y de validación. Se realizaron mediciones de variables antropométricas y fuerza de agarre, y se desarrolló la fórmula de predicción del …

Circle Actions On Oriented 4-Manifolds, Donghoon Jang, Oleg R. Musin

School of Mathematical & Statistical Sciences Faculty Publications

In this present paper, we consider an action of the circle group on a compact oriented 4-manifold. We derive the Atiyah–Hirzebruch formula for the manifold, and associate a graph in terms of data on the fixed point set. We show in the case of isolated fixed points that if an abstract graph satisfies the Atiyah–Hirzebruch formula, then there exists a corresponding 4-dimensional oriented S1-manifold.

2026 Viewbook, Office Of Admissions

Viewbook

At IMSA, you will be part of a community of over 650 diverse students passionate about learning. Located in suburban Aurora, IMSA’s campus consists of seven residence halls spread across 97 acres. While living and learning on campus, you’ll make new friends, encounter new ideas, and learn to live independently. You will also have the opportunity to explore over 85 clubs, organizations, and IHSAsponsored co-curricular and athletic programs. IMSA provides a safe, nurturing environment. Professional Resident Counselors (RCs) live in each hall and will help you navigate your home away from home through the Residential Life Curriculum. Through this curriculum, …

Development Of Feature Tokenizer Deep Learning Model For Fault Diagnosis In Marine Propulsion System, Pratik Anand Deshpande, J. Preetha Roselyn, Prabha Sundaravadivel

Electrical Engineering Faculty Publications and Presentations

The fault diagnostics in Brushless Direct Current (BLDC) motor drive system is critical for operational safety and system lifespan in propulsion system applications. However, signature parameters such as currents, voltages, speed, and torque have provided nonlinear behavior, which limits the usefulness of traditional model-based approaches. This research provides a deep learning based intelligent system to monitor the failures in marine propulsion system. Each signal feature is represented as a structured token, with a specific class token used to collect global contextual information. The proposed model captures both local temporal dynamics and global inter-feature interdependence multi-layer self-attention processes, allowing for the …

A Reconstruction Method For The Anisotropic Electrical Conductivity In A Hybrid Planar Inverse Problem, Athanasios Dimitriadis

Graduate Studies Theses and Dissertations 2026

Some single-physics medical imaging methods fail to reliably discriminate benign from malignant biological tissue. In partial response, a new class of inverse problems employ multi-physics phenomena, coupling methods of high resolution with methods of high contrast. In this thesis we are concerned with one such problem in which an anisotropic electrical conductivity is to be recovered from some internal knowledge of the current density field generated by maintaining a fixed boundary voltage. This internal data is obtained by the method of Current Density Impedance Imaging (CDII), which combines Maxwell's equations with Magnetic Resonance Imaging (MRI) measurements. The anisotropy class is …

Curriculum Approaches To Strengthening Student Employability And Improving Graduate Outcomes In The Stm Disciplines, Denise Jackson, Michael D. O’Connor

Research outputs 2022 to 2026

In Australia and elsewhere, curriculum improvements are needed to improve the development of Science, Technology and Mathematics (STM) graduates for future work and careers. Several studies document significant STM student attrition, poor graduate preparedness for work, relatively weak employment rates post-graduation, and mismatched expectations of graduate capabilities by employers. The inclusion of work-integrated learning (WIL) activities within curricula can better prepare students for relevant employment by bridging discipline-specific teaching with work practices. Traditionally, access to WIL has been limited for STM Bachelor students and a better understanding of WIL’s benefits and impact is needed to refine and extend STM WIL …

Ranked Choice Voting At The State And Local Level, Khel Gordhan

Res Publica - Journal of Undergraduate Research

Many people across the political spectrum are frustrated with many of the problems that come with simple plurality voting, also known as first-past-the-post, which is implemented in the lion’s share of elections across the United States. To solve many of these problems, some activists and other political organizations advocate for cities and states to adopt Ranked Choice Voting (RCV) as a viable alternative. However, many people, both Republicans and Democrats, claim that implementing this system would be too complicated for people to understand. Due to this, there would be high rates of ballot exhaustion, which would disenfranchise vulnerable minorities who …

The Value Of Saltbush Revegetation For Biodiversity In A Highly Fragmented Landscape, Robert A. Davis, Michael D. Craig, Tim S. Doherty, Jonathan D. Majer, Eddie J.B. Van Etten

Research outputs 2022 to 2026

Secondary salinization is a significant global issue affecting up to 1 billion hectares of land, impacting biodiversity and particularly vegetation. One form of revegetation that can provide a return to landholders is saltbush (Atriplex spp.), which provides forage for a wide range of livestock. The effectiveness of saltbush plantings in providing useful habitat for fauna in agricultural landscapes suffering from secondary salinity is poorly understood. We aimed to address this knowledge gap by surveying bird, ant, and spider communities, and quantifying vegetation structure and floristic composition in saltbush and native woodlands in agricultural landscapes affected by secondary salinization in Western …

Protomix: Unified Prototype Learning For Semantic Change Detection In Remote Sensing, Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang, Thomas Francis Bishop, Zhiyong Wang

Research outputs 2022 to 2026

As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrated its great potential for SCD, the following two fundamental challenges remain: large variations among the same LC class as well as close similarity between different LC classes, and the severe underutilization of massive unchanged regions, which dominate remote sensing scenes but lack detailed semantic annotations. To address these issues, we propose a novel prototype learning framework for SCD, namely ProtoMix, by leveraging …

En Ritmo: A Praxis In Decolonizing Traditional Dance Spaces, Megan Curet

School of Art, Design and Architecture Theses

En Ritmo: Praxis in Decolonizing Traditional Dance Spaces is an investigation that explores the intersection of bomba, a traditional Puerto Rican song, music and dance form, and North American contemporary dance. This PhD research aims to decolonize culturally hegemonic dance spaces through a cultural syncretism of contemporary dance and the elements of bomba as foundational principles for training both professional and non-professional dancers. This practice challenges traditional Western dance training paradigms. Therefore it is crucial to clarify that this research is not positioned within the realm of pedagogy; rather, it critically interrogates and deconstructs the distinctions between dance practice and …