Digital Commons Network^™

Enabling Ml/Ai In 6g And Future Wireless Communication With Privacy Preservation, Mec Offloading And Quantum Computing, Changshi Zhou

Dissertations

The forthcoming sixth-generation (6G) and future wireless networks are envisioned to support an unprecedented range of services, delivering ultra-low latency, massive connectivity, and intelligent real-time responsiveness. These capabilities will enable emerging applications such as extended reality (XR), autonomous vehicles (AVs), industrial robotics, and the Internet of Things (IoT) to reach their full potential. Achieving this vision requires the integration of enabling technologies such as artificial intelligence and machine learning (AI/ML) and quantum computing, which are poised to play central roles in shaping the landscape of wireless communication systems.

In AI-native, data-driven, and computing-centric 6G networks, ML models will be deeply …

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 …

Disentangling Non-Thermal Electron Injection And Decay In Solar Flares Using Multi-Wavelength Radio Observations, Brian Eugene O’Donnell

Dissertations

The broadband microwave imaging spectroscopy capability provided by the Expanded Owens Valley Solar Array (EOVSA) allows new diagnostics of high-energy processes in solar flares, providing spatially and temporally resolved spectra rich in information about the acceleration and transport of energetic electrons.

In this work, injections and transport of energy and particles into the solar corona during flares are studied. This is accomplished through the development and use of the PIP_Decomp Fitter, an automated fitting tool made by the author to fit injection and precipitation/decay parameters using the spatially resolved radio spectra obtained by EOVSA. These tools are used to study …

A Generative Ai-Driven Computational Framework For Industry-Scale Discovery Of Novel Battery Materials, Joy Datta

Dissertations

The growing demand for sustainable, high-energy-density electrochemical storage has motivated the exploration of multivalent-ion batteries based on earth-abundant elements such as aluminum, calcium, magnesium, and zinc. While multivalent charge carriers offer higher theoretical energy density than lithium, their practical deployment is hindered by sluggish ion transport, strong ion-host interactions, and structural degradation of electrode materials. Identifying host materials that can reversibly accommodate multivalent ions while maintaining structural integrity remains a fundamental challenge. The dissertation develops a scalable, end-to-end computational framework that integrates density functional theory (DFT), machine learning (ML), and generative artificial intelligence (GenAI) to accelerate the discovery of next-generation …

Toward Learning-Based Reconstruction And Part Decomposition Of Man-Made 3d Geometry: Neural Implicit Representations And Scalable Supervision, Shen Fan

Dissertations

Digital three-dimensional (3D) models are central to engineering design, analysis, and manufacturing, but learning pipelines for man-made geometry often operate on sampled carriers that do not preserve all of the structure present in exact CAD representations. This dissertation studies learning-based reconstruction and part decomposition for structured man-made 3D geometry, from general object benchmarks to CAD-derived datasets, with a focus on neural implicit representations trained from signed-distance samples, point clouds, and tessellated meshes. The goal is to make these models more accurate, more part-aware, and more consistently supervised.

First, signed distance function (SDF) reconstruction with implicit neural representations is improved through …

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 …

Glass Transition Temperature Of Plga Nanoparticles And The Application In Drug Delivery, Guangliang Liu

Dissertations

The glass transition temperature (T_g) of poly(D,L-lactic-co-glycolic acid) (PLGA) nanoparticles plays a crucial role in governing molecular mobility, diffusion, and consequently, drug release kinetics. However, the interaction among residual surfactant, drug effect, nanoscale confinement, and release medium on T_g remains insufficiently characterized. This study aims to bridge this gap by correlating the thermal behavior of PLGA nanoparticles with their drug release behavior under physiologically relevant conditions.

In the present study, PLGA nanoparticles were synthesized using both nano-emulsion and surfactant-free nano-precipitation approaches. The influence of residual surfactants - poly(vinyl alcohol) (PVA) and didodecyldimethylammonium bromide (DMAB) - was systematically …

Membrane-Engineered Nanotherapeutic Platforms For Drug Delivery: Hollow Fiber Membrane Synthesis Of Lipid Nanoparticles, Biomimetic Nanocarriers, And Nanobubbles, Zhixiang Liu

Dissertations

Lipid-based nanocarriers have emerged as a cornerstone technology for RNA therapeutics, enabling effective intracellular delivery for applications ranging from vaccination to gene regulation. However, current manufacturing approaches, particularly microfluidic-based platforms, face inherent limitations in scalability, throughput, and structural tunability due to their reliance on confined channel geometries and restricted mixing architectures. Addressing these challenges requires fundamentally new strategies that decouple nanoparticle formation from traditional microscale flow constraints while maintaining precise control over physicochemical properties.

This dissertation presents a comprehensive framework for the design, engineering, and application of advanced lipid-based nanocarriers, centered on a hollow fiber membrane (HFM)—assisted nanopore-mediated assembly platform. …

Parameter Density Estimation For Cardiac Electrophysiology Models Using Data Consistent Deep Learning, Michael Luo

Dissertations

Mathematical models of biological rhythms and excitable systems can provide insights into mechanisms underlying cardiac electrical dynamics. However, estimating the parameters of these models from experimental observations is often difficult due to noise, heterogeneity, and unobserved variables. For example, in an electrocardiogram (ECG) recording, information about the electrical properties of different regions of the heart is compressed into a single voltage trace. Additionally, variability within these signals may contain important information about population heterogeneity, regional differences in electrophysiology, and time-dependent modulation.

This dissertation develops, explores, and evaluates methods that perform feature-based distributional inference for complex nonlinear dynamical systems. The objective …

Transcranial Ac Modulation Of Cerebellar Nuclear Activity In Awake Animals, Nuran Kavakli

Dissertations

Entrainment of cerebellar nuclear (CN) cells via cerebellar transcranial alternating current stimulation (ctACS) has been reported in animals under ketamine/xylazine anesthesia. Our main objective was to demonstrate modulation of CN activity in unanesthetized, freely moving animals using ctACS. Multi-channel carbon-fiber electrodes were implanted into the interpositus nucleus for recording multi-unit (MU) activity, and thin-film electrodes were implanted subcutaneously over the posterior cerebellum for stimulation. A frequency-domain-based metric was developed to quantify modulation from MU signals. The results demonstrated modulation in a wide range of frequencies (4 Hz-300 Hz) as in anesthetized animals. In contrast, the amplitude of the peak in …

A Network-Cascade Framework For Short-Run Production Failure Under Maritime-Energy Chokepoint Disruption, Siyao Liu

Double Helix Methodology

Abrupt maritime-energy disruption can generate system-wide production losses before firms and policymakers can adjust. Existing assessments usually emphasize direct exposure or long-run equilibrium responses, which makes them less suitable for short-run risk assessment in energy-dependent production systems. We develop a threshold-cascade framework that combines dual-track dependence topology, edge-level inventories, smooth operability bands, and a separate price-validation step to identify the blockade intensity at which a localized chokepoint shock becomes systemic production loss. The framework is evaluated against the March 2021 Suez blockage and the 2022 Russia–Ukraine producer-price episode, and then applied to a 2026 Strait of Hormuz stress scenario using …

Mapping The Future Of Digital Logistics: A Multi-Layered Analysis Of Technological Evolution And Integration, Jiang Yu

Double Helix Methodology

In the context of accelerating digital transformation and increasingly complex global supply chains, this study develops a multi-layered analytical framework to investigate the technological evolution and future trajectory of digital logistics. Using 107,202 patent records from the IncoPat database covering 1960–2023, the study integrates the entropy weight method, grey relational analysis, Latent Dirichlet Allocation (LDA), and a Hidden Markov Model (HMM) to identify core patents, extract technological topics, and forecast their dynamic evolution through 2028. The findings identify 27 major technological topics and reveal a significant transition from traditional operational optimization toward integrated intelligence and autonomous execution. Technologies related to …

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. …

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 …

Petals And Pride: A Botanical History Of Queer Expression, Sarah O. Kowal

Graduate Masters Theses

“Petals and Pride” examines the historical use of flowers as enduring symbols of queer expression and persecution across diverse cultures and time periods, paying particular attention to violets, green carnations, roses, lilies, pansies, and lavender. This study begins with the appearance of violets in the works of the Ancient Greek poet Sappho and traces their adoption by the lesbian community of Paris at the turn of the twentieth century. Around this same time, another floral symbol emerged across the English Channel: the green carnation. Popularized by Oscar Wilde, the green carnation functioned in Victorian Britain as an emblem of sexuality …

The Hunt For Prestige: An Econometric Study Of The Impact Of Cost Of Attendance Stipends In College Football On Cost Of Attendance And Student Loan Debt, Greg Chick

Graduate Doctoral Dissertations

In 2015, the National Collegiate Athletic Association (NCAA) authorized Division I institutions to provide Cost-of-Attendance (COA) stipends to student-athletes, marking the first NCAA-endorsed form of direct athlete compensation. Critics warned that institutions would inflate COA estimates to offer larger stipends, potentially increasing student loan borrowing among the broader student population. Drawing on Bowen's (1980) revenue theory of cost and O'Meara's (2007) theory of striving institutions, this dissertation examines whether Group of 5 and FBS independent institutions increased their published COA following stipend adoption, and whether Power 5 institutions experienced downstream effects on student loan debt.

Results indicate null effects across …

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 …

Should I Stay Or Should I Go?: A Phenomenological Case Study Of Teacher Turnover In An Urban School Merger, Haven Jones

Graduate Doctoral Dissertations

School mergers are becoming a more common occurrence in urban school districts within the U.S., as an attempt to address student enrollment declines and resulting budgetary concerns. Yet very little research has been conducted to understand how the context of a school merger influences known K-12 education phenomena, such as the teacher turnover decision-making process. This study utilized a phenomenological case study approach to explore the impact of a school merger on teacher turnover within a specific middle school-high school merger in a Northeastern city. Fifteen teacher participants were interviewed and three primary source documents were analyzed to determine what …

Pipelines And Power: Governance, Conflict, And Hybrid Political Orders In Nigeria's Niger Delta, Nkasiobu Wodu

Graduate Doctoral Dissertations

Abstract

Many conflict-affected states in the Global South can be described as Hybrid Political Orders—governance arrangements where informal authority and formal state institutions coexist, overlap, and contest for power. In Nigeria's Niger Delta, this phenomenon is clearly evident. In this context, the exercise of governmental authority extends beyond the Weberian State. Local and non-state actors such as ethnic-based organizations, former combatants, and traditional authorities routinely perform government-like functions within their spheres of influence.

This study analyzes how extractive corporations, informal authorities, and the Nigerian state co-produce governance and shape patterns of conflict and cooperation in the Niger Delta. Its central …

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 …

The Cultivation Of Public Perception: Cultivated Meat Narratives And Misinformation On Tiktok, Anna M. Balkus

Graduate Masters Theses

Cultivated meat is an emerging tissue engineering technology that has the potential to address major issues threatening food systems, including climate change, rapid population growth, and the spread of disease. Among technical challenges, public perception remains a significant barrier for the widespread adoption of cultivated meat. While social media has transformed communication globally, it has simultaneously contributed to corrupt online environments infected with misinformation—unintentional inaccuracies that differ from disinformation, which is spread with the intent to mislead. The way the public receives and digests information regarding new food technologies, like cultivated meat, will be shaped by their social media environment. …

Identity And Distress: The Role Of Misracialization And Membership Esteem In Multiracial Mental Health, Jordan Cherry

Graduate Masters Theses

The population of Multiracial individuals in the US is growing (Jones et al., 2021). Multiracial people face a higher likelihood of adverse consequences, including reconciling the significance of holding multiple racial identities in a society that predominantly categorizes race in single categorical terms (Gabriel et al., 2023). The inaccurate perception of Multiracial individuals by others, or misracialization, is a result of this dynamic. Research indicates that inaccurate racial representation relates to worse mental health outcomes for Multiracial individuals (Campbell & Troyer, 2007; Does et al., 2023; Franco, Toomey, et al., 2021; Lusk et al., 2010). Further, one’s racialized experiences have …

Role Of Technical Assistance In Pollution Prevention In Massachusetts Craft Breweries, Shubhechchhya Regmi

Graduate Masters Theses

This study aims to examine pollution from Massachusetts craft breweries, and if it can be lessened through a pollution prevention program. This study analyzed data from two assessments with the aim of analyzing the role of technical assistance in pollution prevention across eight impact categories. The first assessment was conducted on 29 MA breweries between 2022 and 2024, and 23 were assessed a second time (in summer 2024 and summer 2025). Craft breweries face several constraints in adopting pollution prevention practices the pollution prevention program known as BetterBev helps to bridge this gap by providing technical assistance, identifying inefficiency practices …

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 …

Jihad As Discourse: The Houthi Movement's Official Rhetoric On The 2023–2024 Red Sea Attacks, Moh. Iqbal Bulgini, Imam Khomaeni Hayatullah

Journal of Terrorism Studies

This study examines how Ansar Allah (the Houthi movement) constructs and legitimises a jihad discourse through official speeches and formal statements issued by military spokesperson Yahya Sarea and the movement's official platforms during the 2023–2024 Red Sea attacks. Employing Norman Fairclough's three-dimensional Critical Discourse Analysis (CDA) framework—integrating textual analysis, discursive practice, and sociocultural context—the study analyses a purposive corpus of 45 verified institutional texts. Three dominant and mutually reinforcing discursive formations are identified: (1) the Humanitarian-Juridical Discourse, which reconstitutes armed attacks as legally and morally obligatory acts of protection; (2) the Anti-Hegemonic Resistance Discourse, which constructs the movement as a …