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From Process Retrieval To Understanding: A Look Into Curiosity And Metacognition In My Physics Classrooms, Nahuel Acosta Burroso

Critical and Creative Thinking Capstones Collection

In the modern high school physics classroom, the rapid proliferation of generative artificial intelligence (GenAI) has created a unique educational challenge. While these tools can solve complex problems quickly, they often lead to cognitive offloading, where students bypass the internal dialogue and deep thinking needed for true understanding. This project follows an action research journey that shifts the focus from restricting technology to cultivating curiosity and metacognition. I define curiosity as the gap identifier that appears when a student realizes they do not know something, while metacognition acts as the navigator that helps them decide what to do next. By …

Reading Isabella Hammad And Beyond: The Unsaid – The Point Of Recognizing Turning Points, Narratives (Stories), And Strangers, Rory Conces

Philosophy Faculty Publications

The essay is a reflection on Isabella Hammad’s book, Recognizing the Stranger: On Palestine and Narrative (2024). The essay’s approach is to follow the four themes that reflect the title and the subtitle of the book and to draw out what is unsaid from what is said by Hammad. The unsaid reflects my conceptual and historical baggage, so there is a wide assortment of theorists that I connect Hammad with, including Edward Said, Hannah Arendt, Amartya Sen, Didier Fassin, and Slavoj Žižek.

Haydn’S Creation Challenge: A New Hypothesis About The Genesis Of Beethoven’S Ninth Symphony, Stefan Romanó

HAYDN: Online Journal of the Haydn Society of North America

The article hypothesizes that Beethoven’s Ninth Symphony was the product of his decision to take up the challenge that Haydn’s Creation had confronted him with since his youth.  Haydn’s oratorio was immensely popular in Vienna and Germany during Beethoven’s time, more popular than Beethoven’s own music.  It represented the golden standard of musical perfection for Beethoven himself, who strove to equal it, but repeatedly felt that he had not yet jumped over the Creation hurdle.  He took up the challenge in the years 1816-18, when he began designing the first movement of his Ninth, as a replica to the …

Adaptive Multimodal Smart Home Control On A Raspberry Pi 5 Using Hand Gestures, Voice Cues, And User Feedback, Vaibhav Bora

Theses

A real time multimodal smart home control system deployed on a Raspberry Pi 5 is presented. The system combines hand gestures, short voice cues, and proximity aware interaction to execute household commands such as light brightness control, fan speed adjustment, and stop or kill switch actions. Lightweight gesture and keyword spotting voice classifiers were trained offline and exported to TensorFlow Lite for efficient on device inference. For more natural spoken phrases, the system additionally integrates a locally deployed pretrained offline ASR component rather than a speech recognizer trained from scratch. Using a USB camera and microphone, the system operates fully …

Sound Detection Of Memory Leaks In Llvm Ir Programs Using Accumulation Analysis, Robert Blacha

Theses

Resource leaks occur when a limited resource such as memory is allocated by a program and needlessly held past the point of use. Leaks can lead to a degradation of services which can be specifically triggered with malicious behavior, for example abusing a memory leak in a program to cause a server to slow down and crash for a denial-of-service attack.

Prior work has demonstrated that accumulation analysis provides a sound detection of resource leaks with a working implementation for programs written in Java. While useful, current implementations are limited to programs written in Java, which has a garbage collector, …

Evaluation Of Medical Instrument Reliability For The Heath And Maddox Components Of The Accommodative-Vergence System, Jacob Chabuel

Theses

Binocular vision relies on the coordination of near response triad composed in part by the vergence and accommodative systems. Binocular dysfunctions linked to these systems impact the quality of life of those affected by complicating day-to-day tasks and leading to further health concerns. Clinical evaluations that diagnose dysfunctions and tailor therapies rely on subjective methods, creating a need for a reliable, quantitative, measurement tool. This is achieved using a haploscope, a tool that quantitatively measures and observes binocular vision to identify deficiencies within the eye. Modernization of a haploscope system, measurement of the Heath and Maddox components of the visual …

Perceptual And Geometric Advances In Crowd Simulation, Bilas Talukdar

Dissertations

Simulating realistic crowd motion remains a fundamental challenge in computer graphics and multi-agent systems, as it requires modeling both physically plausible interactions and perceptually natural behaviors. Existing crowd simulation methods typically employ simplified geometric abstractions, most commonly circular agent representations, and model navigation using either analytical interaction formulations (e.g., force, velocity, or constraint-based methods) or learned policies derived through reinforcement learning. Despite their effectiveness, these approaches often overlook detailed geometric structure and do not explicitly account for perceptual realism. This dissertation addresses these challenges by improving the realism of virtual crowd simulation through two key advancements: perceptual preference learning and …

Differential-Geometric Methods For Neural Signed Distance Fields: Parameterized Surface Extraction And Curvature Regularization For Cad Models, Haotian Yin

Dissertations

Neural signed distance fields have emerged as a powerful framework for representing three-dimensional geometry through continuous and differentiable neural functions. Their flexibility, resolution independence, and compatibility with gradient-based optimization make them especially attractive for surface reconstruction and geometric learning. However, despite these advantages, two fundamental challenges remain for engineering-grade applications. First, higher-order geometric properties such as curvature are difficult to model reliably during training and often require computationally expensive second-order differentiation. Second, while neural signed distance fields provide implicit surface representations, they do not directly yield a globally consistent forward map or parameterization for downstream geometric processing.

This dissertation addresses …

Holistic Dram Enhancements: From Intrinsic In-Memory Operations To Robust Security Mechanisms, Ranyang Zhou

Dissertations

Dynamic Random-Access Memory (DRAM) is both the performance bottleneck and a critical security boundary of modern computing systems. Its physical properties make it an attractive substrate for near-data computation—yet those same properties expose it to disturbance-based hardware attacks. This dissertation argues that these two dimensions are not independent: the architectural choices that make DRAM efficient also reshape its threat landscape. Addressing both requires a unified approach to memory architecture and security co-design.

The first part of this dissertation attacks the memory wall through four processing-in-DRAM (PIM) frameworks. ReD-LUT and LT-PIM unify lookup-table arithmetic with charge-sharing logic, achieving up to 37.8x …

Vergence Task-Based Neural Pathways With Binocularly Normal Vision And Comorbid Persistent Post-Concussive Symptoms -Convergence Insufficiency, Ayushi Sangoi

Dissertations

Binocular dysfunctions are more prevalent in the persistent post-concussive symptoms (PPCS) population than in the general population. The most prevalent binocular disorder is convergence insufficiency (CI), affecting 3-17% of the general population and up to 10 times as many people with PPCS. CI makes it difficult to fuse or maintain fusion on targets at near, and its symptoms include double or blurry vision and headaches when performing close-range tasks such as reading, which can exacerbate PPCS symptoms. Given controversy over the subjectivity and effectiveness of diagnostic tools and symptom surveys for both PPCS and CI, understanding why CI has high …

Significant Crash Characteristics Associated With E-Scooter And E-Bike Crashes, Aimee Jefferson

Dissertations

Micromobility devices—namely e-scooters and e-bikes—have rapidly gained popularity in the United Sates, rising from 35 million annual shared rides in 2017 to over 133 million in 2023 (NACTO 2024). But also increasing is the number of injuries associated with these devices; however, most research emphasizes injury and demographic patterns rather than crash characteristics that would inform prevention strategies. Most existing crash research also relies on small sample sizes, lacks nuance distinguishing between involved parties (motorists, pedestrians, single device), and fails to distinguish between bicycle and micromobility crash patterns despite micromobility devices often being instructed to use conventional bicycle facilities. These …

Anonymity And Accountability In Secure Messaging, Erin Kenney

Dissertations

Encypted messaging has become more and more prevalent as time moves on, and its benefits in assuring privacy cannot be overstated, but it also brings along with it concerns on how to moderate platforms where all messages are hidden. Message Franking, followed by Traceback systems, addressed these concerns by allowing the sender of a message to be proven when reported, even for forwarded messages in the case of Traceback, however these systems damage the privacy guarantees that originally motivated encrypted messaging to begin with.

In practice, even without those concerns encrypted messaging alone is not enough to prevent the most …

Evaluating Flood Risk Management Performance Under Climate Change Based On Nature-Based Solutions — Empirical Evidence From Taihu Lake Basin, Shaofeng Chen, Conglin Zhang

Double Helix Methodology

Identifying a flood risk management (FRM) performance evaluation method that aligns with the sustainable development goals of the natural-social complex ecosystem is essential for effective and timely responses to flood risks. Using the Taihu Lake Basin (TLB) as a case study, this research systematically examines the evolving needs of FRM under climate change and proposes a performance evaluation method based on Nature-based Solutions (NbS). The method covers multiple dimensions including flood resources, socio-economic, and environmental factors. Principal component analysis (PCA) is employed to assess changes in the FRM level in TLB from 2010 to 2020. The key findings are as …

Empowering Lifelong Choice: Supporting Older Individuals With Idd To Thrive At Work, Transition To Retirement With Dignity, And Maintain Community Connections, Leslie Quarles

Critical and Creative Thinking Capstones Collection

This synthesis addresses the need to support older individuals with intellectual and developmental disabilities in their engagement in continued work. The project traces the journey from an initial focus on supporting older individuals with intellectual and developmental disabilities to work as long as they wish to an eventual shift toward a phased retirement approach. It considers issues such as a reimagined visualization of the support team structure, integration of tailored job supports and Community Life Engagement (CLE). The author's familial history sparked a sense of injustice that would not stay buried, shaping a career path in disability services and access. …

Machine Learning-Driven Prediction And Mechanistic Insight Into Co2 Adsorption On Biomass-Derived Activated Carbons Using Explainable Ai (Xai), Dalia A. Ali Dr.

Chemical Engineering

To improve CO2 uptake in Biomass-Derived Activated Carbon (BDAC), this study develops a multiscale hybrid digital twin framework. By integrating microscopic descriptors from Density Functional Theory and Molecular Dynamics (DFT/MD) with experimental data from 63 chemically diverse biomass precursors, a Gaussian Process Regression (GPR) model was developed using the Materń 5/2 Automatic Relevance Determination (ARD) kernel. The framework achieved high internal training accuracy (R2 = 0.968) and Root Mean Square Error (RMSE = 0.2552), while providing a realistic generalization baseline across heterogeneous precursors with a 5-fold Cross Validated (CV) R2 of 0.1567 and CV RMSE of 0.283. Explainable Artificial Intelligence …

Omama-Db: The Oregon-Massachusetts Mammography Database, Avanih Kanamarlapudi

Graduate Masters Theses

Public datasets for training AI models in breast cancer screening are limited in size and quality, making it difficult to develop reliable systems. We introduce OMAMA-DB, an extensive publicly available collection of 2D mammograms and 3D tomosynthesis volumes. Starting from 967,991 images, we created a curated set of 231,080 images us ing a multi-stage filtering process that removes missing labels, uncommon dimensions, rare scanner types, duplicate studies, and invalid DICOM files. All 2D images then undergo additional outlier detection using histogram filtering and a variational autoen coder to remove low-quality outliers. OMAMA-DB includes pathology-based cancer labels and automated lesion annotations …

Reliable Offline Evaluation Under Exposure Bias: A Cross-Scale Study Of Counterfactual Estimators In Recommender Systems, Lakshmi Pranathi Vutla

Graduate Masters Theses

Offline evaluation underpins model selection in recommender systems, yet historical interaction logs are shaped by prior recommendation policies. Because users only provide feedback on exposed items, logged data entangles user preferences with exposure mechanisms, leading to exposure bias and potentially misleading model comparisons. Counterfactual estimators such as IPS, SNIPS, CRM, and DR offer principled corrections, but their empirical reliability across datasets and exposure regimes remains insufficiently under- stood. We present a systematic, cross-scale study of counterfactual evaluation in recommender systems. Comparing IPS, SNIPS, CRM, and DR on datasets with randomized exposure (Yahoo! R3, Coat, and KuaiRec), we analyze estimator behavior …

Adapting Population Genetics, Practice, And Policy For Plant Conservation In A Changing World, Cooper M. Kimball-Rhines

Graduate Doctoral Dissertations

Biodiversity conservation is an inherently interdisciplinary goal that requires effective collaboration among academics, ecosystem managers, policymakers, and other stakeholders. Codesigning research with these groups ensures experiments are useful and improves adoption of policy and practice recommendations while advancing our understanding of basic science. This dissertation explores the power of codesigned research in shaping plant conservation strategies using stakeholder engagement, causal inference, demographic modeling, and multi-omic sequencing techniques. In chapter 1 I discuss the history of New England ecosystems and the need for research-driven changes to plant conservation policy and practice in the face of global change. In chapter 2, I …

Static Data-Race Detection For Gpu Programs: Behavioral Types With Partial Completeness Guarantees, Zhen Rong Liew

Graduate Doctoral Dissertations

GPUs are essential to modern computing but notoriously difficult to program correctly. Static analysis tools can verify data-race freedom, but their over-approximations produce spurious reports of data races that do not occur, limiting their practical usefulness. This dissertation establishes when Memory Access Protocols (MAPs), a compositional abstraction modeling memory access behavior between synchronization barriers, can be simultaneously sound and complete. We first prove that MAP-based analysis is sound and complete for well-typed Jaminan programs---those without data-dependent array indexing. This result establishes the theoretical boundary: completeness is achievable when data-dependent control flow and indexing are absent. Jaminan extends MAPs with symbolic …

Temwayaj: An Exploration Of Intergenerational Trauma And Resilience Through The Wisdom Of Haitian Elders, Niara J. Carrenard

Graduate Masters Theses

Haitian people have a unique history of trauma shaped by colonial violence, the brutal legacy of slavery, and political instability all of which intersect to create a complex and multifaceted experience of trauma across generations. This study explores how intergenerational and historical trauma are understood, carried and expressed across generations in the Haitian community. Drawing from grounded theory, this research examines the layered effects of colonial violence and chronic instability on Haitian people. While trauma is typically described as an individual phenomenon, this project is examining trauma as a relational process that manifests amongst different generations. Through in-depth qualitative interviews, …

Towards Interpretable Transfer Learning With Limited Data, Youxiang Zhu

Graduate Doctoral Dissertations

Modern foundation models are typically trained with large-scale data to ensure good performance. However, certain tasks cannot scale with large amounts of data due to cost and practical constraints, resulting in limited performance. To address this, in this dissertation, I introduce model-task alignment, a general methodology for making a foundation model work well with tasks with limited data. The methodology comprises two parts: aligning downstream tasks with foundation models and aligning foundation models with downstream tasks. To study and validate this methodology, I first focus on speech-based dementia detection, a representative task with limited data, and then extend to general …

Anti-Mattering And Negative Core Beliefs In The Association Between Internalized Racism And Social Anxiety, Alicia K. López

Graduate Masters Theses

Internalized racism is associated with adverse mental health conditions, including anxiety. However, research examining the relation between internalized racism and social anxiety remains limited. The primary purpose of this current study was to explore the relation between internalized racism and social anxiety and whether cognitive processes, such as negative core beliefs about the self or interpersonal factors, such as anti-mattering help explain this relation.  Specifically, this study examined anti-mattering as a potential mediator linking internalized racism and social anxiety and whether negative core beliefs about the self, mediate the relation between internalized racism and anti-mattering. Lastly, the study examined a …

Simulating The Movement Of A Major League Fastball, Max M. Moss

Graduate Masters Theses

The orientation of the seams on a baseball may seem arbitrary in nature; however, they play an enormous role in the aerodynamics of the ball during its short flight to home plate. This thesis aims to model the movement of a four-seam fastball as accurately as possible using the fourth order Runge-Kutta method. The model incorporates the effect of the seams on the path of the ball by utilizing the oscillating cross-sectional area, which varies for each angle of rotation. The simulated results demonstrate a strong agreement with the observed pitch trajectories, accurately reproducing both induced vertical break and horizontal …

Racism, Coping, And In-Race Heterosexism Among Asian American Sexually Expansive People: A Moderated Moderation Analysis, Miah Theresse A. Sabas

Graduate Masters Theses

Asian American sexually expansive people (AA SEP) are at elevated risk of psychological distress at the intersection of racism and heterosexism (Takeda et al., 2021). Less is known about how AA SEP cope with intersectional oppression, including experiences of in-race heterosexism. With a sample of 105 AA SEP, correlations indicated a positive link between psychological distress (PD; DASS-21, Lovibond & Lovibond, 1995) and racism-related stress (RRS; Brief PEDQ-CV, Brondolo et al., 2005), but not in-race heterosexism (Perceived Racism in Lesbian, Gay, and Bisexual Communities Scale, Sarno et al., 2015). Moderation analyses indicated only active coping buffered the relation between RRS …

Voices Of The Young: Exploring Child Agency In Heritage Language Socialization In Chinese American Families, Yiyang Guan

Graduate Doctoral Dissertations

This dissertation investigates how young children in Chinese‑heritage families participate in heritage language development and maintenance (HLDM) in everyday family life. It asks four questions: what agentic behaviors young children display in heritage language socialization (HLS) and family language policy (FLP) co-construction; how they conceptualize language ideologies; what attitudes they hold toward HLDM; and whether differences in agency, ideologies, and attitudes relate to socioeconomic background.

Using a qualitative multiple‑case design, the dissertation focuses on seven families in the San Francisco Bay Area. Data includes parent and child interviews, child language portraits, child audio diaries, parent‑recorded natural conversations, and family background …

Ai-Augmented Financial Advisors: Comparing Ai And Human Analyst Investment Recommendations In Agreement, Performance, And Firm Size Effects, Crystal Chen

Honors College Theses

This study examines the level of agreement and performance between artificial intelligence (AI) generated investment recommendations and human analyst recommendations across U.S. publicly traded firms. Using a sample of twelve companies categorized by firm size (large, mid, and small), the study collects buy, hold, or sell recommendations from generative AI systems and human analysts. Agreement between AI-to-AI and AI-to-human recommendations is measured using Cohen’s Kappa agreement. Portfolio performance is evaluated by constructing equal-weighted portfolios for each recommendation source and size category. Risk-adjusted returns are measured using the Sharpe ratio over 1-, 2-, and 3-month periods. Furthermore, the study tests whether …

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) 2026 Revised Draft Final Backfill And Cover Soil Quality Assurance Project Plan (Qapp) (Dated May 13, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Applying A Neurodiversity-Informed Approach To Understanding Resolution In Families Raising A Child With Autism, Emma Manole

Honors College Theses

The first known documentation of the syndrome we today refer to as autism spectrum disorder (ASD) was published by Austrian psychiatrist Leo Kanner (1943), who identified a cluster of disordered symptoms among 11 young children, which he termed “early infantile autism”. Consequently, the psychiatric world became aware of autism as its own disorder separate from schizophrenia or “childhood psychosis” (Wing, 1997). Since then, the ways in which autism is studied, diagnosed, referred to, defined, and treated have seen drastic changes (Blacher & Christensen, 2011) over the course of almost a century. It is only natural that the perceptions held by …

Intergenerational Climate Stories Of South Carolina, Christine Sorrell Dinkins, Laura Barbas Rhoden, Samuel Stuckey, Hayden Jones

Community Based Research

Intergenerational Climate Stories

In this volume, you will hear from South Carolina residents age 45+ who generously agreed to speak with student researchers at Wofford College. In these intergenerational conversations, participants shared how they have experienced and perceived climate change over the course of their lives. Some stories have been anonymized through the use of pseudonyms, while others include participants’ names with permission. In some cases, researcher comments and questions are included for context. The stories have been lightly edited for clarity and concision while preserving the participants’ voices.

All conversations were facilitated in Summer 2023 by Wofford students Hayden …

Electrospun Nanofiber Scaffolds For In Vitro 3d Tissue Engineering, Victoria E. Santillan, Samerender Nagam Hanumantharao, Stephanie Bule, Ronish M. Shrestha, Carter Rodzik, Alan Mendoza Estrada, Stephen L. Farias, Marina Tanasova, Smitha Rao

Michigan Tech Publications

Tissue engineering is widely used in research for investigating cellular proliferation, behavior, and responses to various stimuli. However, the predictive value of preclinical studies using cell culture plates is limited by the inability to recapitulate the complexity of the physiological microenvironment. Synthetic three-dimensional (3D) scaffolds can be engineered to mimic the complex morphology of the extracellular matrix of native tissues and can serve as physiologically relevant platforms for preclinical studies. In this study, 3D electrospun scaffolds were characterized to aid in breast cancer research. Unlike previous studies that focused primarily on scaffold fabrication or cell viability, this work systematically evaluates …