Digital Commons Network^™

Student Retention In Music Programs: An Analysis Of Relationships Between Selected Student Demographics And Continued Enrollment In Music Programs With The Presence Of School-Provided Supports, Jessica Wiese

Theses, Dissertations and Capstones

Music education provides significant cognitive, social, and academic benefits; however, elective music programs often face substantial annual attrition. While existing literature has documented material barriers (e.g., instrument costs, transportation, scheduling conflicts), this study investigates the persistence of attrition within a medium-sized suburban district on Long Island that has systematically mitigated these obstacles. The district provides free instruments, flexible scheduling, and dedicated transportation for all students. The purpose of this mixed-methods study was to determine whether demographic disparities in music enrollment remain predictive of withdrawal in such a post-barrier environment.

The research used a two-phase explanatory sequential design. In the first …

Patenting Ai Discoveries In Life Sciences: Overcoming Eligibility, Disclosure, And Inventorship Challenges, Dhohyung Kim, Ryan P. Hiler

IP Theory

The pharmaceutical and biotechnology industries face transformative opportunities through artificial intelligence and machine learning integration. However, these technological advances create distinct patent law complications that traditional drug development does not encounter. This article analyzes three interconnected obstacles: establishing eligible subject matter under 35 U.S.C. § 101, meeting disclosure standards under § 112(a), and determining proper inventorship when AI systems contribute substantially to claimed inventions. Drawing from recent USPTO guidance and Federal Circuit precedent, this analysis offers evidence-based strategies for patent practitioners, research scientists, and business leaders seeking robust intellectual property protection for AI-integrated pharmaceutical innovations.

Ablative Study Of Large Language Model-Based Gesture Inference For Autonomous Navigation, Neil Loftus

Theses, Dissertations and Capstones

Human gesture inference has broad applications ranging from sign language interpretation to device control. Traditional methods often rely on extensive manually labeled hand datasets for deep learning. Furthermore, they are typically limited to a discrete set of gestures existing in these datasets. Large Language Models (LLMs) created by enterprise companies such as OpenAI have demonstrated positive results in many artificial intelligence tasks, with a notable strength being their adaptability. Existing literature has shown that LLM based systems can not only perform gesture inference but can propose user intent provided with a context and list of possible actions. We propose an …

Knowledge Landscape Of Philosophical Research In Thailand : Current State And Challenges, Sarinya Arunkhajornsak, Siraprapa Chavanayarn, Klairung Iso

Manusya, Journal of Humanities

This paper explores the knowledge landscape of philosophical research in Thailand from 2012 to 2022. It identifies current research trends and demonstrates how previous studies in philosophy have contributed to intellectual thought toward fostering democratic citizenship within Thai society. Understanding these findings helps analyze the future direction of philosophical research in strengthening the vital roles of humanities education in Thailand. The paper is divided into three sections. The first section examines the status and trends of philosophical research in Thailand across three main areas of study: Western philosophy, Theravāda Buddhist philosophy, and Eastern philosophy. The second section examines the threats …

Knowledge Landscapes Across Time : Threats And Opportunities For The Humanities In Thailand, Nattanun Chanchaochai

Manusya, Journal of Humanities

No abstract provided.

A Conserved Ethylene-Triggered Cell Death Mechanism May Underlie Hollow Stem Formation Across Plant Species, Mengxiao Yan, Weijuan Fan, Yinghui Meng, Jiamin Zhao, Wei Yang, Ziyin Xu, Yusen Gao, Haiyan Zhuang, Wuyu Zhou, Yuqin Wang, Qingjun Huang, Ling Yuan, Hongxia Wang, Jun Yang

Plant and Soil Sciences Faculty Publications

Hollow stems have independently evolved multiple times across the plant kingdom and play crucial roles in plant development and various environmental adaptations. However, the mechanisms underlying stem hollowness remain poorly understood. Water spinach (Ipomoea aquatica) is one of the few hollow-stemmed plants in the Convolvulaceae family (eudicot: asterid), and its hollow stems are essential for thriving in aquatic environments. Using histochemical staining and transcriptome analysis, we found that programmed cell death (PCD) is involved in cavity formation at water spinach shoot tips. Single-cell and spatial transcriptome analyses further revealed that ethylene and reactive oxygen species (ROS) likely drive …

Scrappy Or Strategic? Law Firm Decision-Making In Light Of Executive Orders, Nancy B. Rapoport

Emory Business Law Review

Some of President Donald J. Trump’s early 2025 Executive Orders targeted specific law firms.  These Executive Orders have created a stir within our legal community.  Why did some firms fight those Executive Orders and other firms agree to quick settlements with the Trump administration?  In this article, I use some rudimentary concepts taken from game theory (as in, “I won’t use numbers or mathematical proofs,” so I expect actual game theorists to roll their eyes at my analysis) to analyze two games:  the game of “who within the firm will decide whether to fight or settle” and the game of …

Supplemental Bibliographic Details. From 2001 Mars Odyssey To Earth’S Climate Crisis: Integrating Gamma Spectroscopy, Martian Soil Simulants, And Plant Genomes For Agroecology, Anchored In Sri Lanka’S Mars-Context Serpentinites, Suniti Karunatillake, Maheshi Dassanayake, Carlos Gary Bicas

Planetary Science Lab

Bibliographic details follow to supplement hyperlinked citations in the multinational GANGOTRI-supporting project conceived by Karunatillake, Dassanayake, and Gary-Bicas

Creating A University-Based Accessible Makerspace For Use By Local Community Members Through Participatory Design Workshops, Erin Higgins, John J. Magee Iv, Foad Hamidi

Computer Science

While Do-It-Yourself Assistive Technology (DIY-AT) has been shown to provide needed AT for individuals who might not otherwise have access, the makerspaces utilized to create these technologies have proven to be inaccessible. A promising direction for creating accessible makerspaces is to utilize participatory methods to develop new spaces for use by a diverse community of individuals. We explored these possibilities through participatory design workshops focused on building a new accessible community makerspace situated within a university campus setting. Through these workshops, we found that there are unique physical, technical, and human supports needed to create an accessible space for the …

Advances And Challenges In Digitally Connected Point-Of-Care Biosensing, Abdellatif Ait Lahcen, Jegan Rajendran, Gymama Slaughter

Center for Bioelectronics Publications

Point-of-care (POC) biosensors are undergoing a paradigm shift from isolated diagnostic tools to digitally connected, intelligent platforms that enable continuous and decentralized healthcare delivery. This review critically examines recent advances in wearable, implantable, and portable biosensors, highlighting how integration with wireless communication, the Internet of Medical Things (IoMT), and artificial intelligence is transforming their functionality and clinical utility. Particular attention is given to innovations such as smartphone-enabled interfaces, cloud-based analytics, and machine learning-assisted analysis, which collectively enhance sensitivity, specificity, and user accessibility across diverse healthcare settings, from personalized home monitoring and bedside diagnostics to deployment in resource-limited regions. The review …

Competitive Dance And The Adolescent’S Body: Considering Pedagogical Approaches To Teaching Competitive Dancers, Catri E. G. Barba

Dance (MFA) Theses

Diving into the past and researching for the future, this thesis explores the development and perpetuation of hyper-sexualized adolescent bodies through the competitive dance scene. Drawing on dance theorists, educational theorists, and embodied research (i.e., the author’s body archive), this thesis explores how the competition gaze is performed for and by a capitalist patriarchy. Specifically, this thesis critically reflects on the author’s career as a young competitive dancer in the greater Los Angeles, California, area during the 1990s and 2000s, as well as a competition dance instructor and K-12 educator for two decades, and how those personal experiences have shaped …

Ibeji: Screendance As Living Archive, A Manuscript For Live Performance, Quentin W. Sledge

Dance (MFA) Theses

This work is a multimedia live performance that simultaneously moves through a live archival process which captures the essence of the work. It asks: how can dance archives evolve into participatory, user-centered repositories that account for the embodied and ephemeral nature of dance, and how might screendance expand archives into interactive, co-curated spaces that sustain liveness beyond preservation? Grounded in archival theory, Africana Aesthesis over Euro-Western Aesthetics, and auto-ethnographic practice, this project responds to the historic limitations of Euro-Western archival systems, particularly their inability to hold the spiritual, cultural, and embodied dimensions of dance.

The objective of this research is …

Below The Rows, Beyond The Roots: An Art Exhibition Depicting Agriculture Across The Globe, Maggie Enoch

Honors Theses and Capstones

In Below the Rows, Beyond the Roots, artist Maggie Enoch creates multimedia works inspired by her exposure to diverse agricultural systems and perspectives while studying geography and sustainable agriculture/food systems around the world. By integrating complex histories with the contemporary realities of farming, Maggie paints vivid pictures of the power of food in this five-piece exhibition.

On The Clock: The Centrality Of Time In Teacher Work, Jack Schneider, Ashley Carey, Ayana Bass, Breanne Lucy, Babatunde Alford, Nathan Jones

Education Faculty Publications

American teachers work substantially more hours than their international peers; yet much of this work occurs outside the contract day. Despite this, teachers in the U.S. consistently report insufficient time to complete essential tasks—particularly lesson planning, collaboration, and professional reflection. This paradox of long working hours and persistent time scarcity creates chronically high workloads, with documented consequences for teacher stress, burnout, and turnover. Ultimately, these conditions affect student outcomes and the sustainability of the profession. Yet time continues to be overlooked in policy design and implementation.

This paper proposes an ecological framework with six interconnected components: education policy, professional context, …

Mathematicly Rigorous Quantum General Relativity, I: Pure, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

A pure general relativity (quantum or classical) is one lacking in matter. Such a field has a Lorentzian space time geometry. A renormalization perturbative expansion, truncated to all finite orders, establishes both the quantum and the general relativity theory with full mathematical rigor.

The Pure Yang-Mills Field. I: Eistence, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

Two pure Yang-Mills quantum gauge field theories are constructed, one based on short distance asymptotics and the other based on long distance asymptotics.

The construction is based on the axial gauge, ghost states, the BRST framework and Gribov extension of the Hamiltonian, with a loop expansion cutoff to all finite orders for the dynamics.

The construction is established by renormalized perturbation theory to all finite orders.

The construction depends on an assumed principle of a maximum rate of entropy production

Neuroevolution Of Compact Search Heuristics In Sokoban, Yeonghun Lee

Computer Science Honors Papers

This thesis investigates whether neuroevolution can produce heuristic functions for A* search on Sokoban that are drastically more parameter-efficient than a conventional gradient-trained baseline. Sokoban is a combinatorial planning puzzle that is both NPhard and PSPACE-complete, and solving it at scale requires an accurate cost-to-go heuristic to guide search. The standard approach fixes a neural network architecture and trains it by gradient descent; this thesis investigates whether evolutionary search over network topology can find heuristics that are competitive in accuracy while using orders of magnitude fewer parameters.

Four heuristic approaches are implemented and compared on the medium-difficulty split of the …

The Effects Of Tax Evasion On Inequality, David A. Weisbach, Thomas Coleman

Coase-Sandor Institute for Law & Economics Research Paper Series

To estimate inequality from tax data, researchers must allocate misreported income (e.g., evasion) to individuals. Misreported income, however, is not directly observed. Recovering true income therefore requires identifying assumptions about the joint distribution of true income and reporting, and these assumptions can substantially change estimated top income shares. A central reason is that membership in the reported top group is selected on compliance, an unobservable, so the composition of the reported top depends on assumptions the data alone cannot settle. We develop a computational framework that makes these assumptions explicit and clarifies how they shape estimates of inequality.We show that …

The Effects Of Tax Evasion On Inequality, Thomas S. Coleman, David Weisbach

Public Law and Legal Theory Working Papers

To estimate inequality from tax data, researchers must allocate misreported income (e.g., evasion) to individuals. Misreported income, however, is not di- rectly observed. Recovering true income therefore requires identifying assump- tions about the joint distribution of true income and reporting, and these assump- tions can substantially change estimated top income shares. A central reason is that membership in the reported top group is selected on compliance, an un- observable, so the composition of the reported top depends on assumptions the data alone cannot settle. We develop a computational framework that makes these assumptions explicit and clarifies how they shape estimates …

Structured Interactions With Llms To Support Ltl: Supplemental Information, Karenna Kung, Maanas Punuru, Alicia M. Grubb, Paola Spoletini

Computer Science: Faculty Publications

This repository contains the supplemental information for the paper: "Structured Interactions with LLMs to Support LTL", which investigates how students interact with and can be supported by LLM explanations while translating linear temporal logic formulae into English natural language.

Design Principles For Customer-Engaging Digital Service Systems: An Action Research Study, Keng Leng Siau, Xiaofeng Chen, Xin Tan

Research Collection School Of Computing and Information Systems

Digital services represent a business approach employed by organizations to operate in the digital environment. However, systematic development guidelines for developing quality digital service systems are lacking in the literature. The authors identified four general challenges for developing and implementing customer-engaging digital service systems (CEDSS). By employing the method of canonical action research in a digital service system project, they derived 10 design principles for developing high-quality CEDSS. They empirically evaluated the design principles in the development project and through follow-up focus group sessions. The design principles provide applicable and actionable guidelines for the development of CEDSS.

Exploring Parents’ Perspective Of Outdoor Occupational Therapy Sessions, Harold Ho, Michelle Huynh, Christina Le, Amy Morrison

Master's Projects

Introduction: Outdoor play is recognized as critical for supporting children’s development across physical, cognitive, and social-emotional domains (Firby & Raine, 2022; Walker & Ray, 2024; Zhu et al., 2024). The current literature suggests that outdoor play strengthens executive functioning, early learning skills, and enhances social-emotional competency (Dinkel et al., 2019; Walker & Ray, 2024; Zhu et al., 2024). Furthermore, accessibility to outdoor play is shaped by contextual factors, including parental perceptions of safety, environmental barriers, and broader societal influences (Cox et al., 2025; Faulkner et al., 2025; Jelleyman et al., 2019). The research suggests that common parental concerns have emerged …

Investigating Ui Based And Ai Based Interactions In Vr Environments For Human Anatomy Education, Siddharth Sondhi

Master's Projects

Traditional approaches to learning and simulation often struggle to convey the complexity of three dimensional structures. In anatomy education, methods such as textbooks, lectures, and cadaver based learning are used, but can make it difficult to understand the complex structure of organs within the human body. Virtual Reality (VR) offers a promising alternative by providing immersive and interactive 3D environments that allow users to explore and manipulate anatomical structures more intuitively. These environments can be further enhanced by integrating large language models (LLMs) as intelligent agents capable of guiding users through natural language interaction. This project presents a Unity-based VR …

Javatutor: An Integrated Llm Framework For Structured Programming Tutoring And Problem-Solving In Java, Amey Makarand Dhongade

Master's Projects

Large Language Models (LLMs) are being adopted more actively to assist in pro- gramming tasks, but much of the available AI code assistants devices are encouraging the rapid generation of solutions, as opposed to assisting students in developing an understanding. As a result, they can give the students correct code without teaching on how to judge a problem and how to build solutions or how to debug their programs themselves. This study describes JavaTutor, an LLM-based tutoring system that is used to assist learners in the learning process in a three-step process of understand- ing, generating a solution, and refining …

Safe-R2r: A Safety-Aware And Budget-Optimized Retrieval Controller For Rag Systems, Mandar Sunil Gondane

Master's Projects

Retrieval-Augmented Generation (RAG) improves factual grounding in large language models by incorporating external evidence during inference. However, most RAG systems rely on fixed retrieval strategies that ignore query difficulty, computational cost, and prediction uncertainty. This project introduces SAFE-R2R (Safety-Aware and Budget-Optimized Reason-to-Retrieve), a retrieval controller that treats retrieval as a query-dependent decision problem. SAFE-R2R organizes retrieval into a multi-rung ladder ranging from no retrieval to deeper retrieval with reranking. At each rung, the system generates an answer, computes reliability signals, and combines them into a risk score used within a conformal calibration framework to decide whether to accept the answer …

Emotional Patterns In Conversational Social Media Using Graph-Based Context, Sai Sanjay Yerunkar

Master's Projects

Most social media datasets for emotion detection have not been constructed to account for conversational structure‚ so we investigate whether it carries signal for emotion prediction. Using Sentiment140 and GoEmotions Reddit threads‚ we construct their thread-based conversation graphs and compute the aggregated features of neighbors as well as the transformer and TF-IDF representations of comments. Connected comments are 4.5× more similar in emotions than expected by chance. Pairwise emotional similarity decays exponentially with geodesic distance (e.g.‚ after 2 hops). Pairs separated by a 30s timestamp difference have the highest emotional similarity. These results suggest that emotion is structured locally and …

Adaptive Real-Time Fraud Detection Using Online Learning And Explicit Concept-Drift Detection, Purva Govind Tugaonkar

Master's Projects

Real-time credit card fraud detection faces challenges such as extreme class imbalance, delayed feedback, and concept drift in transaction streams. This project implements and evaluates an adaptive streaming fraud detection framework based on three methodologies: (1) online learning with incremental updates, (2) explicit conceptdrift detection using statistical monitoring, and (3) separate models for immediate and delayed supervision, combined with cost-sensitive learning and anomaly detection. The system processes the credit card fraud dataset in a batched streaming fashion, uses multiple online learners and ensembles. Experiments show that online, driftaware models maintain high recall on frauds while controlling false positives under imbalanced …

Stepwise Sudoku Reasoning Training Using Transformers, Lok Man Chu

Master's Projects

Sudoku is a constraint satisfaction problem that serves as a testbed for studying reasoning and stepwise deduction. While many solvers can produce correct solutions, they often fail to generate human interpretable sequences of logically consistent steps. This study investigates whether a transformer trained on stepwise deduction traces can learn to solve Sudoku puzzles through sequential, logically deducible moves. Results show that solve accuracy improves significantly with more training data, reaching approximately 78% at 1500k samples. Stepwise analysis indicates that the model effectively learns simple strategies, achieving near-perfect performance. However, performance on more complex strategies remains limited. Overall, while the model …

Choice-Based Crowdshipping For Next-Day Delivery Services: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra

Research Collection School Of Computing and Information Systems

This paper studies integrating the crowd workforce into next-day home delivery services. In this setting, both crowd drivers and contract drivers collaborate in making deliveries. Crowd drivers have limited capacity and can choose not to deliver if the presented tasks do not align with their preferences. The central question addressed is: How can the platform minimize the total task fulfilment cost, which includes payouts to crowd drivers and additional payouts to contract drivers for delivering the unselected tasks by customizing task displays to crowd drivers? To tackle this problem, we formulate it as a finite-horizon Stochastic Decision Problem, capturing crowd …

Reinforce Trustworthiness In Multimodal Emotional Support System, Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo, Tuan D. Q. Nguyen, Nguyen Le Binh, Duy Minh Ho Nguyen, Daniel Sonntag, Lizi Liao, Binh T. Nguyen

Research Collection School Of Computing and Information Systems

In today's world, emotional support is increasingly essential, yet it remains challenging for both those seeking help and those offering it. Multimodal approaches to emotional support show great promise by integrating diverse data sources to provide empathetic, contextually relevant responses, fostering more effective interactions. However, current methods have notable limitations, often relying solely on text or converting other data types into text, or providing emotion recognition only, thus overlooking the full potential of multimodal inputs. Moreover, many studies prioritize response generation without accurately identifying critical emotional support elements or ensuring the reliability of outputs. To overcome these issues, we introduce …