Digital Commons Network^™

The Library Of Congress At A Crossroads: Executive Overreach And The Future Of Public Knowledge, Leslie A. Street, Amanda M. Runyon

Library Staff Publications

This Article argues that the removal of the Librarian of Congress and the Register of Copyrights exposed a dual vulnerability: a constitutional breach of the separation of powers and a cultural threat to the nation’s knowledge infrastructure. The Library’s structural ambiguity—its simultaneous identity as a legislative library, national library, and copyright agency—has left it vulnerable to executive overreach. By asserting control over an institution designed to serve Congress and safeguard America’s intellectual heritage, the President destabilized a statutory framework that has endured for over two centuries. To protect both constitutional integrity and the Library’s role as custodian of national memory, …

The Specter Of Jury Nullification, Anna Offit

Faculty Publications

Attention to the trial of Luigi Mangione has renewed debate about nullification—the jury’s inviolate power to acquit a defendant contrary to the evidence presented. Jury nullification proponents hold that it is a mechanism of last resort for refusing to apply laws that conflict with the public conscience. Opponents, by contrast, argue that nullification undermines the law by diminishing its legitimacy. To prosecutors and defense attorneys, however, these arguments are immaterial: Jury nullification is part of the institutional landscape of the contemporary jury trial and thus must be treated as a potentiality—a feature of the agnostic, strategic, and ethical terrain of …

The Executive's Takeover Of Independent Agencies: How Institutional Design Gave Way To Political Will, Neal Devins

Faculty Publications

The anticipated demise of the independent agency is a saga that implicates Congress as much as it does the President or the Supreme Court. By capitulating to presidential initiatives and failing to defend their institutional prerogatives, Congress has facilitated presidential control of the administrative state. Indeed, irrespective of whether the Court formally repudiates Humphrey’s Executor, Congress has largely acquiesced to a regime whereby presidents essentially control independent agencies. By highlighting the competing incentives of Congress and the White House, this Essay explains the rise of presidential unilateralism vis-à-vis independent agencies. This Essay also casts light on a critically important but …

Visual Cues Of Human-Likeness, Not Salience, Impact Trust-Related Human-Computer Interaction, Jordan Schotz

Graduate Studies Theses and Dissertations 2026

As interactions with digital agents become increasingly integrated into daily life, understanding how visual representations influence social decision-making is critical. Previous research in human-computer interaction has frequently confounded the psychological effects of an agent's perceived human-likeness with the underlying visual salience of the stimuli. To address these persistent gaps, the present study systematically isolated the effects of human-likeness and visual cue trustworthiness on trust behavior while controlling for objective image properties. The present study expanded on and normed the Virtual Avatar Facial Stimuli Set (VAFSS), a comprehensive database comprising hundreds of identity-matched photographs and computer-generated avatars varying across a spectrum …

Concept Drift Detection For Streaming Data Using One-Class Classification, Poorna Sandamini Senaratne

Graduate Studies Theses and Dissertations 2026

Modern machine learning systems are increasingly deployed in streaming environments where data arrive sequentially and the underlying data-generating process may evolve over time. This phenomenon, known as concept drift, can significantly degrade model performance if not detected and addressed in a timely manner. This dissertation proposes a principled framework for concept drift detection based on one-class classification, integrating neural network embeddings with Support Vector methodologies.

The proposed approach leverages neural networks to learn compact and informative embeddings of input data, capturing complex nonlinear structures in a lower-dimensional latent space. These embeddings are then used to construct a statistical description of …

Communication-Aware Energy Optimization For Electric Vehicles With Adaptive Cruise Control, Shahriar Shahram

Graduate Studies Theses and Dissertations 2026

This dissertation develops information-driven methods to reduce traction energy in battery electric vehicles during adaptive and cooperative cruise control. Physics-grounded energetics are embedded in a predictive controller that accounts for intermittent V2V preview, sensing noise, packet loss, and powertrain limits. To ensure deployability, the nonconvex traction–power map is replaced by locally convex surrogates so each step solves a small, strictly convex QP in real time (average ≈ 70 ms/step on a desktop CPU: 8 cores/16 threads, 4.2–5.0 GHz), leaving margin at typical sampling rates (Ts =0.05–0.10 s; N=15–25).

Across standardized drive cycles from NREL DriveCAT—including FTP–75 (light duty), NREL Class …

Evaluating The Brain-Muscle Connectivity Of Cyclic Ankle Pedaling Movement In A Clinical Setting, Matthew K. Shanosky

Graduate Studies Theses and Dissertations 2026

Clinical neurorehabilitation requires objective biomarkers to accurately detect and monitor neuromotor impairments. While traditional metrics are favored for their efficiency and minimal equipment demands, they typically rely on subjective observation and lack physiological resolution. High-resolution electrophysiological technologies, such as electroencephalography (EEG) and electromyography (EMG), offer objective insights into nervous system dynamics; however, prolonged data acquisition times have hindered their translation into frontline clinics. To bridge this translational gap, this study developed a time-efficient experimental paradigm designed for rapid clinical deployment. Healthy participants completed two initial resting baseline trials before performing an externally paced, dynamic, cyclic ankle movement task utilizing simulation …

Revisiting The Foundation Of Strategic Core Theory: Informal Roles And Teamwork Roles In Work Team Centrality, Allen Thomas Shorey

Graduate Studies Theses and Dissertations 2026

Strategic core theory makes a distinction between roles within a team that are central to the team’s workflow (i.e., core roles) and those that are not central (i.e., non-core roles) (Humphrey et al., 2009). This line of work has shown that attributes, such as job-related skill of core team members, were more predictive of team performance than those of non-core members. However, this line of work has primarily examined core and non-core roles as defined by formal taskwork roles. In this thesis, I examine patient care teams and management simulation teams with the principal conviction that (a) informal roles and …

Mirabile Dictu: The Bryn Mawr College Library Newsletter 29 (2026), Bryn Mawr College Library

Mirabile Dictu: Newsletter of the Bryn Mawr College Libraries

No abstract provided.

Experimental Demonstration Of A Laboratory Scale Packed Bed Reactor For Thermochemical Energy Storage Using Embedded Heating Elements, Zachary Monem

Graduate Studies Theses and Dissertations 2026

Thermochemical energy storage (TCES) is an emerging technology that is being studied as a carbon-neutral renewable alternative to conventional methods of large-scale power generation, such as the utilization of fossil fuels. TCES makes use of thermochemical materials to store and discharge energy in two-step reversible chemical reactions. Among the most promising TCES materials are metal oxides, which possess significantly higher energy storage densities compared to other TCES materials; consequently, thermochemical reactors are used to store and discharge large amounts of energy during reduction-oxidation cycles using metal oxide materials. The current work focuses on the design and experimental demonstration of a …

Study On Fracture Toughness Under Different Modes Through Continuum Damage Mechanics Based Fracture Locus, Yeting Sun

Graduate Studies Theses and Dissertations 2026

Traditional elastic-plastic fracture mechanics (EPFM) relies on crack-tip analysis, whereas continuum damage mechanics (CDM) is typically calibrated from uncracked bodies. This dissertation aims to bridge the gap between these two fundamental branches by explicitly linking fracture toughness with ductile damage models. Based on the assumptions regarding Mode I crack deformation, analytical solutions are derived to establish a novel relationship among Mode I fracture toughness, CDM-based ductile fracture strain, and material strain hardening capability. This theoretical framework is subsequently extended to encompass Mode II and Mode III loading conditions. To validate the proposed relationships, finite element (FE) models are developed in …

Performance Assessment And Design Improvements For An Urban Coastal Detention Basin Under Intensifying Rainfall Extremes, Imiya Mudiyanselage Chathuranika, Agyare Asante, Faeghe Borhani, Xixi Wang, Mujde Erten-Unal, Dalya Ismael

Civil & Environmental Engineering Faculty Publications

Coastal urban areas are increasingly exposed to flooding driven by more frequent and intense rainfall events, rising sea levels, and expanding impervious surfaces. Norfolk, Virginia, a low-lying coastal city with aging stormwater infrastructure, faces heightened vulnerability to these hydrologic pressures. This study evaluates the hydraulic performance of an existing urban detention basin within the Edgewater–Larchmont catchment under 10-, 50-, and 100-year, 2-h design storms using the U.S. Environmental Protection Agency’s Storm Water Management Model (SWMM). Simulations were conducted for both pre- and post-development conditions to assess changes in peak discharge, storage capacity, and water level dynamics. Results show that urbanization, …

Short-Term Response Mechanisms Of Water Quantity And Quality Of Daihai Lake Under Temperature-Driven Changes, Hao Zhang, Xiaohong Shi, Xianhua Li, Junping Lu, Ruizhong Gao, Xixi Wang, Shuhao Zhang, Longmei Xie, Yu Liu

Civil & Environmental Engineering Faculty Publications

Temperature-driven mechanisms involving complex feedback and lag that affect the evolution of hydrological processes and ecological functions in cold- and arid-region lakes represent a core scientific issue in current hydrology and lake ecology research. In this study, based on month-scale temperature and environmental factor data from Daihai Lake in Inner Mongolia from January to December 2023, statistical methods (redundancy analysis, Tukey's test analysis, correlation analysis, structural equation modeling), time series analysis methods (dynamic time warping), and machine learning methods (random forest) were combined. A hierarchical and phased response framework was constructed that encompassed driver identification, path tracing, lag characterization, and …

Flood-Season Surface Water-Groundwater Interactions Across Distinct Geomorphic Units In A Yellow River Great Bend Tributary Basin, Yinlong Wang, Ruizhong Gao, Debin Jia, Xixi Wang, Tingxi Liu, Xiaomin Liu, Shiming Bai

Civil & Environmental Engineering Faculty Publications

Surface water-groundwater interactions are complex in the Great Bend region of the Yellow River. Clarifying water exchange and source differences among geomorphic units is important for understanding regional hydrological processes and improving water resources management. In this study, the Wulanmulun River Basin, a typical tributary of the Yellow River, was selected as the study area. A total of 90 water samples were collected, including 25 river water samples, 43 groundwater samples, and 22 precipitation samples. Gibbs diagrams, multivariate statistical analysis, PMF, and MixSIAR models were used to investigate the hydrochemical and isotopic characteristics, source contributions, and transformation relationships of surface …

Mathematical Modeling And Characterization Of A Variable Stiffness Ankle-Foot-Orthosis, David E.L. Richards

Graduate Studies Theses and Dissertations 2026

Conventional ankle–foot orthoses (AFOs) typically employ static stiffness profiles that do not replicate the dynamic quasi-stiffness of the human ankle during gait. Variable stiffness mechanisms (VSMs) offer a promising alternative solution for gait pathologies, such as foot drop and post-stroke hemiparesis; however, their implementation is limited by the lack of accurate mathematical models capable of predicting force and stiffness characteristics. The objective of this thesis is to develop and validate comprehensive mathematical models describing the kinematics and kinetics of a novel variable stiffness ankle–foot orthosis (VS-AFO). This study derives governing equations to characterize how mechanical adjustments influence the force transmission …

Examining Principals' Perceptions Of Their Preparedness To Lead In Title I Schools, Tiffany Roebuck

Graduate Studies Theses and Dissertations 2026

Principals serving in Title I schools face complex instructional, organizational, cultural, and community related demands that require specialized leadership preparation and support.  The purpose of this qualitative phenomenological study was to explore the lived experience of principals serving in urban Title I schools regarding their preparedness, supports, challenges, and successes as instructional leaders. The study also examined principals' perceptions of culturally proficient leadership and principal preparation program attributes considered essential for leadership readiness in high-needs school settings. Guided by the Culturally Responsive School Leadership (CRSL) framework, data were collected through semi-structured interviews with 10 principals serving in urban Title I …

Overcoming The Glass Wall: Self-Employment As A Career Strategy For Immigrant Professionals, Barbara Silva

Graduate Studies Theses and Dissertations 2026

Skilled immigrant professionals frequently experience barriers that limit their ability to secure employment opportunities aligned with their qualifications in host-country labor markets. Although prior research has documented some of the challenges these professionals face, such as credential devaluation and discrimination, less is known about why recruiters perceive immigrant candidates with similar qualifications differently and why some immigrants navigate the labor market more successfully than others. Drawing on Status Characteristics Theory, this dissertation examines how the location and type of immigrant professionals’ prior work experience shape hiring-related outcomes by influencing recruiters’ perceptions of competence and acculturation. First, I review the literature …

The Police Archipelago: Decentralization, Police Violence, Over-Punishment, And Crime, José F. Girón

Faculty Publications

A strong consensus has taken hold in the legal academy. Criminal Justice Localism, espoused by scholars of every stripe, promotes greater local control of every facet of the criminal justice system. But Criminal Justice Localism largely overlooks an institution that plays a critical role in the criminal justice system, and which has been the subject of intense public criticism: the police. That oversight is remarkable for two reasons. First, calls for increased local control of the police seem to ignore that America operates one of the most—if not the most—decentralized policing models in the world, with its thousands of local, …

A Modular Virtual Reality Training Framework For Multi-Target Drone Defense, Susann Schleupner

Graduate Studies Theses and Dissertations 2026

Unmanned aerial systems (UAS), commonly referred to as drones, have become a rapidly growing challenge in modern military operations. In particular, the increasing use of small, agile, and low-cost systems—such as first-person-view (FPV) drones and coordinated multi-drone deployments—places high cognitive demands on operators, requiring rapid target detection, prioritization, and decision-making under time pressure.

Existing training approaches either rely on costly and logistically constrained live exercises or focus primarily on isolated piloting and shooting tasks, without sufficiently addressing these cognitive demands. At the same time, advances in commercial off-the-shelf (COTS) virtual reality (VR) hardware enable scalable, flexible, and repeatable training environments. …

A Sensor Fusion And Optimization Framework For High-Resolution Power Outage Detection And Energy Asset Allocation, Elizabeth Trader

Graduate Studies Theses and Dissertations 2026

Existing power outage datasets lack the spatial and temporal resolution required for neighborhood- level risk assessment, and conventional energy system design optimizes for cost without accounting for community-level demand - resulting in inefficient and inequitable asset de- ployment. This dissertation presents IONCORTEX, a framework integrating three technical contributions: a heterogeneous sensor fusion pipeline combining social media signals with municipal infrastructure records for intersection-level outage detection at six-hour tempo- ral resolution, maintaining detection capability during telecommunications disruptions; a techno-economic analysis pipeline evaluating photovoltaic, battery storage, hydrogen, and diesel portfolios using NREL’s System Advisor Model with Monte Carlo uncertainty quan- tification; and …

High Intensity Ablation By Laser Filaments At Standoff Distances, Owen Thome

Graduate Studies Theses and Dissertations 2026

The high-power densities delivered to a target material by a laser allow for melting and vaporization to occur, a process called laser ablation. At higher intensities, plasma formation occurs and more complex material removal mechanisms take place. As laser power increases, nonlinear effects occur during propagation. One such effect, Kerr self-focusing, leads to beam collapse and ionization, resulting in a channel of plasma and region of high intensity light referred to as a laser filament. Filaments carry intensities on the order of 10¹³ W/cm² to significant distances without the use of large-scale focusing optics. Laser filament ablation is …

Abig4l: A Semantic Reasoning Engine For Verilog Via Abstract Interpretation, Alicia Thoney

Graduate Studies Theses and Dissertations 2026

Modern Electronic Design Automation (EDA) flows treat structural and semantic reasoning as separate concerns. Synthesis structurally optimizes RTL, while dedicated verification teams validate functional behavior through testbenches and formal methods. This organizational divide means designers have no automatic, sound way to understand what their RTL does at the moment they are writing it. This thesis introduces AbIG4L (Abstract Interpretation of Generic 4-valued Logic), a static analysis framework that bridges this gap by delivering sound semantic reasoning automatically, directly within the hardware design loop.

The framework operates on a language-agnostic intermediate representation to compute sound over-approximations of hardware behavior across 0, …

Forest Island Reforestation In The Llanos De Moxos, Bolivia, Ethan Tam

Graduate Studies Theses and Dissertations 2026

Within the Llanos de Moxos of Bolivia thousands of forest islands dot the landscape. These forest islands have been shown to have been integral aspects of the pre-Contact indigenous cultures which existed there for thousands of years. Based on 1967 CORONA imagery and statistical analysis, this work provides insight into how these forest islands are integrated as infrastructure features within their landscape and surrounding network of other archaeological features. This research is carried out through investigations into changes in the size of the forest islands across an interval of 57 years, statistical attempts to categorize the forest island into smaller …

Federated Learning In The Era Of Foundation Models, Guangyu Sun

Graduate Studies Theses and Dissertations 2026

The emergence of large-scale foundation models has reshaped computer vision and multi-modal learning, but their substantial computational and communication demands pose significant challenges for deployment in federated learning (FL) systems. Federated learning enables collaborative model training across decentralized clients without sharing raw data, offering strong privacy guarantees. However, adapting foundation models in FL remains difficult due to communication bottlenecks, heterogeneous data distributions, limited device resources, and scarce labeled data. This dissertation presents a unified line of research that addresses these challenges through four complementary frameworks, progressively advancing the efficiency, personalization, and practicality of foundation model adaptation in federated settings.

First, …

Between The Living And The Dead, Leona Strong

Graduate Studies Theses and Dissertations 2026

Between the Living and the Dead is a collection of short stories and flash fiction that explores loss, generational abuse, abandonment, the sometimes brutal power of familial ties, and love in its many forms—both good and evil. This thesis aims to tease out, in the reader, moments of reflection, compassion and revelation. “Falling,” centers on a mother’s grief after her son dies by suicide and her attempt to move beyond perceived culpability and shame. She does this by jumping from a plane to embody his last moments and make the same decision…to live or to die. “And Baby Makes One,” …

The Reliability, Validity, And Sensitivity Of Physical Working Capacity At The Pain Intensity Threshold, Danielle A. Sterner

Graduate Studies Theses and Dissertations 2026

The purpose of this dissertation was to evaluate the reliability, validity, and responsiveness to training intervention of a pain-anchored capacity threshold, the Physical Working Capacity at the Pain Intensity Threshold (PWC_PIT), as a practical submaximal marker of endurance-related exercise tolerance. Study one examined the test-retest reliability of pain-based, perceptual, and physiological physical working capacity measures in recreationally active men using a standardized multi-bout cycling protocol, with pain intensity responses demonstrating strong reproducibility and low measurement error, supporting the stability of pain-anchored thresholds when standardized procedures are applied. Study two evaluated the validity of PWC_PIT by examining pain …

Chirpi - Implementing And Analyzing The Chirp Communication Algorithm On Esp32 Hardware, Calvin Vanwormer

Graduate Studies Theses and Dissertations 2026

This work presents the implementation and experimental evaluation of the CHIRP communication algorithm on resource-constrained ESP32-S3 microcontrollers, bridging the gap between simulation-based validation and real-world deployment. CHIRP is a lightweight, fully decentralized peer-to-peer protocol designed for IoT networks with dynamic node membership, enabling runtime node join and leave operations without centralized coordination or global reconfiguration. The implementation comprises two main components: C-based node firmware running on FreeRTOS [1, 2], which implements the full CHIRP protocol including peer discovery, round-robin pairing, and firefly-inspired phase synchronization, and a Python-based experiment controller that orchestrates network experiments and collects per-node metrics without influencing protocol …

Using Inferences From Natural Language Narratives To Improve Video Question Answering, Hoang Bao Truong

Graduate Studies Theses and Dissertations 2026

The purpose of this thesis is to examine how structured narrative representation and reasoning strategies jointly affect the performance of Video Question Answering (VideoQA). Although recent advances in large multimodal and language models have improved video description and retrieval, causal and counterfactual reasoning remain challenging. This thesis studies an inference-only pipeline in which videos are converted into natural-language narratives, and those narratives may optionally be transformed into a structured NarrativeML format before multiple-choice questions are answered without task-specific fine-tuning. NarrativeML is a machine-readable narrative representation that explicitly encodes entities, events, and their causal and temporal relations. Three representational contexts are …

Threads Of The Past: Exploration Of Banal Medievalisms In Russia's Invasion Of Ukraine, Evan Garrett Wallace

Graduate Studies Theses and Dissertations 2026

This dissertation examines how medieval historical narratives circulate within contemporary Western digital discourse surrounding Russia’s invasion of Ukraine. Russian political rhetoric has frequently invoked the medieval polity of Kyivan Rus’ to assert civilizational continuity between the medieval past and the modern Russian state. While these claims have been widely discussed in political and media contexts, less attention has been given to how such narratives appear within everyday online discourse. This study investigates how medieval references are mobilized, circulated, and interpreted within social media environments during the early conflict.

The research draws on a dataset of approximately 160,000 tweets collected from …

Unmasking Pentastomes: Generating Genomic Resources For Enigmatic Parasites, Stephanie Lyn Villella

Graduate Studies Theses and Dissertations 2026

The introduction of invasive species can disrupt ecosystems not only through competition and predation but also by introducing novel pathogens to naïve host populations. In the southeastern United States, the invasive Burmese python (Python bivittatus) has been implicated in the introduction of the pentastome parasite Raillietiella orientalis, which has been associated with increased parasite burdens and mortality in native snakes. Despite their ecological significance and ancient evolutionary history, pentastomes remain poorly represented in genomic databases, limiting efforts to understand their evolutionary origins, host–parasite interactions, and mechanisms underlying parasite emergence. This study addresses these gaps by generating the …