Digital Commons Network^™

Place, Democracy, Law, And The Necessity Of Local News, Erin C. Carroll

Georgetown Law Faculty Publications and Other Works

In 2025, the painter Amy Sherald pulled her show American Sublime from the Smithsonian after the museum considered removing a painting of a transgender Statue of Liberty to avoid angering President Trump. The Baltimore Museum of Art stepped in, and it was important that it did. American Sublime needs to be seen in person. It comprises dozens of portraits of Black Americans—a farmer, a bicyclist, a balloon-holder, a child on a playground slide. The portraits are dignified, beautiful, warm, and alluring. They are, in a word, human.

In the gallery, the paintings were hung low on the walls to increase …

Llms-Based Text-To-Sql For Geospatial Information Retrieval, Temitayo Olamilekan Ogunsusi

All Theses

Text-to-SQL aims to translate natural language questions into SQL queries that can be executed on databases, enabling non-expert users to retrieve information without learning formal query languages. Early Text-to-SQL systems relied on rule-based methods and semantic parsers, while recent advances in deep learning have achieved strong performance by jointly encoding user questions and database schemas. However, these approaches typically require large, annotated datasets and specific model architectures. With the emergence of large language models (LLMs), such as GPT-4, Llama, and Gemma, Text-to-SQL systems can leverage powerful natural language understanding capabilities to generate SQL queries using zero-shot or few-shot prompting. Despite …

Multi-Task Growing Interpretable Neural Network For Multi-Target Symbolic Regression, Hussein Rajabu

All Theses

Over the past decade, deep learning has achieved remarkable success across domains such as computer vision and natural language processing. Despite their strong predictive capabilities, these models often function as black boxes, limiting transparency and making them difficult to trust in high-stakes applications such as healthcare and business decision-making. While explainable artificial intelligence (XAI) methods improve interpretability, most approaches remain post-hoc, focusing on statistical associations rather than uncovering the underlying functional mechanisms governing predictions.

Symbolic regression (SR) has emerged as a promising direction within XAI by directly discovering explicit mathematical expressions that describe relationships between inputs and outputs. Unlike traditional …

Enameling Coating Of Pipes: Thermal Proprieties And Corrosion Tests, Signo Reis, Genda Chen, Mike Koenigstein, Liang Fan

Materials Science and Engineering Faculty Research & Creative Works

Enamel coating on pipelines can be done in several ways such as the wet process, plasma spray, and electrostatic process. Wet process requires little capital expenses and provides an acceptable finish for industrial applications particularly when the part to be coated is small. Electrostatic process of enamel powder is most promising to coating large pipelines in field conditions. The enamel coating applied by the electrostatic process is very consistent and smooth since each particle is glass only. However, the powder is very fragile until fired and the charge retention is lowered in high humidity conditions. Coupons cut from a full-size …

A Federated Learning Framework For Data-Sovereign Predictive Maintenance In Distributed Smart Manufacturing, Md Sazol Ahmmed, Sriram Praneeth Isanaka, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Featured Application: The proposed federated learning framework can be applied in distributed smart manufacturing environments where multiple factories or production facilities collaboratively develop predictive maintenance models without sharing sensitive operational data. This approach is particularly useful for industrial networks involving geographically distributed plants, contract manufacturing partners, and multi-site production systems where data sovereignty and avoidance of raw data sharing are critical. Predictive maintenance enables early detection of machine failures and reduces unexpected production downtime. However, conventional approaches typically rely on centralized data collection and model training which introduce challenges related to data sovereignty, communication overhead and data ownership. To address …

Advanced Optimization And Integration Of Propellant Flow Path For Cntr Fuel Tube, David Cox, Michael Rietze, Karl Lauture, Max Lowe, Elijah Spencer, Kojo Pinkrah

Mechanical Engineering Capstone Design Projects

The Centrifugal Nuclear Thermal Rocket (CNTR) is an advanced propulsion concept whose performance is strongly influenced by the efficiency and continuity of its propellant flow path. This project focuses on improving the geometric integrity and analytical fidelity of the CNTR fuel tube inlet and manifolds, which are critical subsystems governing pressure losses and downstream performance. In prior designs, these parts consisted of multiple components assembled using adhesive, introducing geometric discontinuities that increased head losses and limited the reliability of computational analysis.

In this work, the inlet and manifold were successfully redesigned as single, integrated components. This redesign represents a key …

A Critical Review And Methodological Recommendations For Life Cycle Assessment Of Electrochemical Co₂ Mineralization, Dennis Dadzie, Kwame Awuah-Offei

Mining Engineering Faculty Research & Creative Works

Purpose: While researchers have relied on life cycle assessments (LCAs) to make claims about the environmental benefits of electrochemical CO₂ mineralization, no systematic review literature exists that synthesizes what we know about the LCA of electrochemical mineralization. This review aims to synthesize established knowledge on the LCAs of electrochemical CO₂ mineralization studies, identify research gaps and discuss challenges, and suggest guidelines for applying the ISO 14040/14044 LCA methodology in this sector. Methods: This paper undertook a comprehensive review of LCA studies on CO₂ mineralization with emphasis on electrochemical mineralization. We utilized relevant keywords based on the theme to search in …

Full Issue

The Bridge

No abstract provided.

Not Just Monetary: Arts And Humanities Scholars’ Perspectives On The Costs Of Open Access Publishing, Lindsey Skaggs, Rachel Scott, Colby Cilento

Faculty and Staff Publications – Milner Library

Bibliometric and survey-based studies have documented different open access (OA) publishing practices among scholars across academic disciplines. This article reports on interviews conducted with arts and humanities scholars from the United States and explores how OA intersects with their research and publication practices. Beyond the considerable financial costs of OA publishing, findings demonstrate that arts and humanities scholars contend with opportunity, reputational, equity, and time costs as they consider and engage with OA publishing. The authors discuss the implications of these costs for librarians who facilitate the dissemination, discovery, and preservation of arts and humanities scholarship.

A Comparative Analysis Of Macro-Scale And Micro-Scale Pcswmm Models For Urban Flood Simulation In The Ormond Drainage System, Binit Gautam

LSU New Orleans Theses and Dissertations

This research utilized an existing SWMM modeling framework of the Ormond area within St. Charles Parish, Louisiana. A micro scale PCSWMM model was updated using GIS Derived values for CN, percent imperviousness, and subcatchment slope and compared to an macro-scale model. Models were compared under several storm events, which included the recent May 14, 2020 storm as well as 2-, 10-, and 100-year design storms. Peak flow, total inflow volume, and hydrograph characteristics were analyzed to assess response of each model.

The results show that the macro-scale model generally produces higher peak flows and total volumes, while the micro-scale model …

“It’S Hard To Look At All Our Trauma All At Once”: What Personal Narratives Reveal About The Triple Burden Of Intimate Partner Violence, Substance Use, And Homelessness, Céline E. Guedj

All Student Scholarship

Scope of the Problem

Intimate partner violence constitutes a pervasive public health issue, impacting nearly half of all women in the United States, about 61.7 million, over the course of their lifetime (Leemis et al., 2022). For Black, Latina, Indigenous and Asian Women, these rates are even higher. The majority of women of color will experience intimate partner violence, including nearly 2 out of 3 mutiracial women, demonstrating a grave overrepresentation amongst victims (Leemis et al., 2022). A study of college students found that LGBTQ women are even more likely to be targeted by abusive partners than their cis and …

The Mosaic, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Most-Favored-Nation Benchmarking Versus Value-Based Contracting: Institutional Fit Of Pharmaceutical Pricing Tools In The United States, Canada, And The United Kingdom, Kola Adegoke, Olajide Alfred Durojaye, Abimbola Adegoke, Adeyinka Adegoke

Health & Biomedical Sciences Faculty Publications

Background: Soaring drug prices pose a significant obstacle to affordable and equitable access to medicines in high-income healthcare systems. This study compares two leading reform tool families, Most Favored Nation (MFN)/international reference pricing (IRP) and value-based contracting (VBC), across the United States, Canada, and the United Kingdom, with attention to cost containment, value-linked incentive design, equity of access, and implementation feasibility. U.S. policy developments (CMS Innovation Center’s GENEROUS, GLOBE, and GUARD models) extend international benchmark-based design options beyond the 2020 MFN rule.

Methods: Guided by institutional and governance theories, we conducted a structured comparative policy analysis using a four-dimensional trade-off …

Understanding Customer Engagement Behavior In Virtual Try-On Services: Evidence From Indonesia, Nyoman Sri Subawa, Ni Putu Chantika Aprilia Nariswari, Made Maenita Dewi, Anak Agung Gede Wiranata, Caren Angellina Mimaki, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

The adoption of immersive technologies, such as Virtual Try-On (VTO), has transformed how consumers evaluate products, interact digitally, and engage with brands. This study investigates the effects of experiential value, flow, perceived enjoyment, customer trust, and customer satisfaction on customer engagement behavior, within the Stimulus–Organism–Response (S–O–R) framework. Experiential value serves as the stimulus, flow and psychological states as the organism, and engagement as the response. Data were collected from 320 Indonesian e-commerce using a purposive sampling technique, targeting respondents with prior experience using Virtual Try-On (VTO) features through an online questionnaire distributed via Google Forms, and were subsequently analyzed using …

Factors Influencing Patient Recall For Follow-Up In The Multi-Stage Deployment Of Medical Intelligent Screening Systems, Wenjie Chen

Dissertations and Theses Collection (Open Access)

With the deep integration of artificial intelligence (AI) technology in the healthcare sector, intelligent screening systems have achieved significant breakthroughs in predictive accuracy; however, they commonly face a management challenge in clinical implementation: accurate early warnings but limited patient recall. To address this ineffective technological empowerment issue in practice, this study proposes a theoretical framework featuringbidirectional interactions between "technological empowerment" and"relational empowerment" based on empowerment theory to systematicallyinvestigate the dynamic evolution mechanisms and boundary conditions of patient recall willingness under multi-stage, cross-departmental deployment of medical intelligent screening systems. Using a leading municipal hospital as the primary experimental setting, the study …

Technological Strategy Paths, Dynamic Capability And Innovation Performance In Complex Product Industries: A Mechanism Study Based On China’S New Energy Vehicle Industry, Fan Zhang

Dissertations and Theses Collection (Open Access)

In recent years, the new energy vehicle (NEV) industry has developed rapidly, moving from electrification toward an intelligent phase characterized by software-defined vehicles. NEV firms pursue product and technological innovation through diverse strategic paths, including internal research and development, collaborative development, and platform-based development, yet their innovation performance varies. Most extant research focuses on the industry level, offering limited insight into how, at the firm level, different technological paths shape the innovation outcomes through firms’ dynamic capabilities. It still remains unclear whether and how these relationships among paths, capabilities, and innovation outcomes differ across technological domains.

This study adopts a …

From Catching Up To Surpassing—A Multi-Case Study Of Chinese Latecomer Technology Firms, Baohua Chen

Dissertations and Theses Collection (Open Access)

In recent years, a number of Chinese latecomer technology firms have grown rapidly and, in some cases, have even moved into leading positions in global competition. As global competition is being reshaped, technologies are evolving more rapidly, and traditional catch-up paths are becoming less viable, how these Chinese latecomer technology firms catch up with leading incumbents has become an important issue in strategic management research. Drawing on the theoretical lens of asymmetrical competition, resource orchestration, and dynamic capabilities, this study adopts an Eisenhardt-style multiple-case design to conduct a longitudinal comparative analysis of six firms—Insta360, Dreame, DJI, Unitree, Transsion, and Royole—and …

Securing Cloud-Native Systems: From Vulnerability Analysis To External And Insider Threat Detection, Jiongchi Yu

Dissertations and Theses Collection (Open Access)

Cloud-native systems have become the backbone of modern software infrastructure. However, their dynamic resource orchestration and complex configurability introduce a large attack surface and intricate security challenges. Adversaries can externally exploit vulnerabilities in cloud components or perform insider movement within cloud environments to launch attacks. As these systems increasingly support critical services, security breaches can lead to severe operational and economic consequences.

Despite extensive efforts in vulnerability detection and attack monitoring, existing approaches struggle to remain effective in cloud-native environments characterized by rapid evolution and inherent heterogeneity. In particular, they exhibit three fundamental limitations: (1) Insufficient understanding of defect patterns …

Uncertainty, Information, And Major Choice: Evidence From Chinese Gaokao, Sikun Dou

Dissertations and Theses Collection (Open Access)

An unresolved background risk makes people more averse to other, independent  risks—most of all when a high-stakes, irreversible choice must be made under that risk. College major choice is such a setting. In China, students are admitted directly into a major they cannot easily change, and in the early 2000s they had to commit before learning their exam scores, bearing a field’s academic risk on top of an unresolved admission risk. Because STEM fields carry more academic risk and women are on average more risk-averse, this burden falls hardest on women’s entry into STEM. Exploiting a reform that moved application …

Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

Population ageing is placing increasing pressure on healthcare and caregiving worldwide. Governments in different countries are looking into the use of advanced information technologies such as artificial intelligence and robotics to help in caring for ageing population. Older adults often need both physical assistance and psychological support, and robots have emerged as a promising technological approach to supplement eldercare. This paper provides an overview of the current state of robots in eldercare. It reviews the major definitions, categories, and features of robots used in healthcare and eldercare. The paper also examines the potential benefits of robotic technologies, such as reducing …

Effect Of Environmental Conditions On Fracture Of Composite Materials And Thin Films, Victor Birman

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Environmental conditions, i.e., temperature and moisture, affect mechanical properties of materials, including composites. In this paper, we concentrate on one of the aspects of the effect of environment on fracture in a composite lamina. The paper demonstrates an analytical approach to account for the effect of the changes in environment on the strain energy release rate of composite materials and thin films. These analytically determined strain energy release rates should be compared to fracture toughness to predict the susceptibility of the material to fracture. Numerical examples are presented for several polymeric and metal matrix composites using available experimental data for …

Validity Of The Schrage Equation In Prediction Of Evaporation Rate Of Liquid N-Dodecane In High-Pressure Nitrogen Gas: A Molecular Dynamics Study, Wazih Tausif, Jordan Hartfield, Md Amin Haque, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Evaporation of liquid fuel in a high-pressure air is a process that critically influences fuel–air mixing in advanced propulsion systems. In this work, we use molecular dynamics (MD) simulations to study the validity and accuracy of the Schrage equation in quantifying the evaporation and condensation rates of n-dodecane (a diesel surrogate) in air (approximated as N2 gas) with gas pressure varying from 0 atm to above the critical pressure of n-dodecane. The MD simulation results show that the evaporation coefficient (αe) is higher than the condensation coefficient (αc) at the evaporating n-dodecane surface and is lower than αc at the …

Machine Vision For In Situ Measurement And Control Of Wire Stickout In Lwded Process, Braden Mclain, Remy Mathenia, Todd Sparks, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This work presents a machine-vision–based measurement and control framework for laser wire directed energy deposition (LWDED) processes. A visible-light camera system is used to capture meltpool images, from which a novel vision algorithm extracts the wire–meltpool interface location. By utilizing a camera that is rigidly mounted to the deposition head, the vision algorithm provides a relative measurement of the distance between the nozzle tip and the workpiece, also referred to as wire stickout. A proportional-derivative (PD) control strategy is implemented using the measured stickout as feedback to adjust deposition feedrate. Results show that the control system successfully compensates for improper …

Using Machine-Learning-Based Process Map To Guide Evaluation Of Inconel 625 Mechanical Properties In Laser Foil Printing, Yu Hsiang Wang, Sung Heng Wu, Hung Chu Chiang, Pen Ning Yu, Chia Hung Hung, Ming C. Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Inconel 625 is widely studied in powder-based additive manufacturing, but its processing characteristics and mechanical performance in foil-feedstock laser foil printing (LFP) remain largely unexplored. In this study, a gradient boosting regression (GBR)-based process map was developed for LFP of Inconel 625 using 32 single-track experiments. The GBR model achieved R² values of 0.859 and 0.793 and mean absolute errors of 22.25 μm and 19.83 μm for melt-pool depth and width, respectively, outperforming second- and third-order polynomial regressions in capturing nonlinear melt-pool responses and distinguishing lack-of-fusion, conduction, and keyhole regimes. Three conduction-mode conditions with target depth-to-foil thickness ratios (D/T) …

Sympathetic And Parasympathetic Ganglion Blocks For Treatment Of Long Covid-19 Symptoms: A Scoping Review, Abhay Tyagi, Khushboo Singh, Preet Mohinder Singh, Frederic J Gerges

2020-Current year OA Pubs

BACKGROUND: Long COVID-19 affects approximately 10-30% of individuals who are infected with SARS-CoV-2 and is associated with persistent functional impairment and reduced quality of life. The heterogeneous, multisystemic nature and nonspecific symptomatology of long COVID-19 makes its treatment challenging. This scoping review evaluates existing evidence on sympathetic and parasympathetic ganglion blocks as potential interventions for patients suffering from long COVID-19.

OBJECTIVE: Our primary objective was to assess the effectiveness of sympathetic and parasympathetic ganglion blocks in treating patients with long COVID-19 by identifying the most commonly reported symptoms, symptom response to different block regimens, and any adverse effects associated with …

Computational Fluid Dynamics-Based Risk Stratification Of Modified Blalock-Taussig-Thomas Shunt Thrombogenicity, Yi Qiao, Ethan Penn, Jacob Miller, Scott Bugenhagen, Ram Rohatgi, Kelsey Mercer, Blaire Kulp, Jinli Wang, Pirooz Eghtesady, Guy M Genin, Edon J Rabinowitz, David Bark

2020-Current year OA Pubs

BACKGROUND: The modified Blalock-Taussig-Thomas shunt (mBTTS) is a critical palliative procedure for infants with single-ventricle physiology, but thrombosis-related occlusion affects 8% to 12% of infants and carries nearly 50% mortality. Meanwhile, existing antithrombotic strategies fail to address the hemodynamic factors driving thrombosis, highlighting the need for a deeper understanding of flow dynamics in shunt failure.

OBJECTIVES: This study aims to identify how mBTTS geometry influences hemodynamics and thrombosis risk, providing quantitative guidance for surgical planning and shunt design optimization.

METHODS: We used patient-specific imaging data to test 54 idealized mBTTS configurations, systematically varying key geometric factors: pulmonary artery diameter, shunt …

Adapt-On-Demand: Enabling Flexible And Scalable Adaptive Radiotherapy Through Workflow Automation, Sean Domal, Min Geon Choi, Justin Visak, Ruiqi Li, Taoran Li, Boon-Keng Kevin Teo, Xiaodong Zhao, Matthew Schmidt, Eric Laugeman, David Parsons, Yang Kyun Park, Shahed Badiyan, David Sher, Mu-Han Lin

2020-Current year OA Pubs

PURPOSE: CT-guided adaptive radiotherapy (CTgART) offers significant clinical benefits, but its utilization is often limited by resource demands and rigid workflows. This study presents a flexible and scalable "Adapt-on-Demand" (AOD) framework that integrates the adaptive capabilities of the Varian Ethos platform with the high-throughput IGRT delivery of the Varian Halcyon, supported by automated scripting.

METHODS: We developed an end-to-end dual-platform workflow that dynamically transitions between ART and IGRT delivery based on patient needs. Key components include Eclipse Scripting API (ESAPI) automation to streamline adapted plan ingestion from the Ethos Treatment Planning and Management System (TPMS) export directory, compatibility conversion for …

Preterm Birth Increases Susceptibility To Hyperglycemia-Induced Kidney Injury With Sex-Specific Differences In Structural And Molecular Responses, Rachel K Dailey, Aleksandra Cwiek, Logan C Hamil, Sage Timberline, Ayyappa Kumar Sista Kameshwar, Masako Suzuki, Jaya Isaac, Kimberly Deronde, Mark Conaway, Kevin M Bennett, Edwin J Baldelomar, Matthew R Hoch, Kimberly J Reidy, Jennifer R Charlton

2020-Current year OA Pubs

BACKGROUND: Preterm birth increases the long-term risk of diabetes and chronic kidney disease (CKD), yet its impact on diabetic kidney disease (DKD) is unclear. We previously showed that male preterm mice with diabetes develop early features of DKD, including reduced podocyte density, decreased renin expression, activation of angiogenesis pathways, and impaired endothelial-podocyte signaling. Here, we examine whether preterm birth similarly accelerates DKD progression in female mice and compare structural and transcriptomic outcomes in the females to the prior male cohort to assess sex-specific differences.

METHODS: Preterm mice were delivered by Caesarean section at 19 days post conception (dpc) and term …

A Covalent Allosteric Molecular Glue Suppresses Nrf2-Dependent Cancer Growth, Nilotpal Roy, Ilah Bok, Harit Panda, Dhaval P Bhatt, Emily M Wilkerson, Soma Saeidi, Paul Zolkind, Michael B Major, Et Al.

2020-Current year OA Pubs

UNLABELLED: The NRF2 transcription factor is constitutively active in cancer, in which it functions to maintain oxidative homeostasis and reprogram cellular metabolism. NRF2-active tumors exhibit NRF2 dependency and resistance to chemotherapy/radiotherapy (RT). In this study, we characterize VVD-065, a first-in-class NRF2 inhibitor that acts via an unprecedented allosteric molecular glue mechanism. In the absence of stress or mutation, NRF2 is rapidly degraded by the Kelch-like ECH-associated protein 1 (KEAP1)-cullin3 (CUL3) ubiquitin-ligase complex. VVD-065 specifically and covalently engages Cys151 on KEAP1, which in turn promotes KEAP1-CUL3 complex formation, leading to enhancement of NRF2 degradation. Previously reported Cys151-directed compounds decrease KEAP1-CUL3 interactions …

Evaluation Of Iron-Phosphate Glass–Ceramic Waste Form For Electrorefiner Salt Waste Simulant Dechlorinated With Phosphoric Acid, Harmony Werth, Paige Murray, Lucas Greiner, Jade Beland, Charmayne Lonergan, Brian Riley, Krista Carlson

Materials Science and Engineering Faculty Research & Creative Works

The importance of glass and glass–ceramic nuclear waste forms has been reaffirmed in recent years by the growing interest in nuclear power as a reliable energy source. Determination of processing methods for the disposal of halide-containing wastes will be essential for the advancement of nuclear technologies such as non-aqueous fuel reprocessing. Phosphate-based dechlorination and subsequent vitrification of radioactive salt waste into an iron-phosphate waste form have been identified as a potential processing scheme for electrochemical processing waste. The impact of H₃PO₄-based dechlorination of complex salt mixtures on the vitrification process and structure of the final iron-phosphate …