Digital Commons Network^™

Rendering Knowledge Graphs From Aerospace Dentistry Processes For Clinical Decision Support Systems, Muhammad Tuan Amith, Jessica Vu, Serena Hou, Vinu Sista, Yang Gong, Ronak Shah, Ana C Neumann

Faculty, Staff and Student Publications

NASA and commercial space flight companies expect to make long-term missions into deep space with the Artemis project and Mars mission. Health care in deep space is a priority as the missions require limited crew and equipment to accommodate astronauts' needs. Analyzing the probable clinical procedures and workflows for this setting is needed to ensure quality care and safety. This paper introduces Business Process Modeling and Notation (BPMN) and OWL2-based modeling to represent aerospace dental workflows for low-earth orbit and potential deep space missions. We developed BPMN process models and created ontology-based knowledge graph representations for individual dental procedures using …

Buying Blind: Corruption Risk And The Erosion Of Oversight In Federal Ai Procurement, Jessica Tillipman

GW Law Faculty Publications & Other Works

The United States is accelerating toward a corruption crisis of its own making. In its race to rapidly acquire artificial intelligence (AI), current policy risks undermining longstanding procurement integrity safeguards. This article examines how AI increases traditional corruption risks and introduces new vulnerabilities that current oversight mechanisms are ill-equipped to address.

Recent federal AI policies have accelerated adoption while simultaneously narrowing regulatory oversight, effectively leaving “regulation by contract” as the primary—and profoundly inadequate—mechanism for embedding safeguards. The consequence of these policies is that the government is “buying blind,” acquiring AI technologies without adequate transparency, audit rights, or testing requirements. These …

The Gsa’S Draft Ai Clause Is Governance By Sledgehammer, Jessica Tillipman

GW Law Faculty Publications & Other Works

The General Services Administration's proposed contract clause, GSAR 552.239-7001, attempts to embed AI governance into federal procurement through a single default instrument applied across GSA's commercial buying channels. The clause addresses real gaps in federal AI acquisition, including inadequate transparency, weak exit rights, insufficient testing authority, opaque supply chains, and unchecked vendor dependency. But it responds by aggregating buyer protections, operational control, sourcing mandates, and politically derived performance conditions into one overburdened clause. This essay examines what the draft gets right, where it overreaches, and why the federal government's rapid shift from an AI governance vacuum to a sweeping, politically …

Taking Scale Seriously In Technology Law, Mark P. Mckenna, Woodrow Hartzog

Faculty Scholarship

Issues of scale—the relationship between the amount of an activity and its associated costs and benefits—permeate discussions around law and technologies. Indeed, it’s not much of an exaggeration to say that scale is the reason for most technology regulation.

But it’s not always clear how lawmakers and judges conceptualize “scale” when approaching questions around automated technologies. Scale is often used intuitively, just to mean “more.” But scale is not always just about more—scale can introduce new harms and benefits along different dimensions, not simply costs or efficiencies of greater magnitude.

In this Article, we argue for a more sustained interrogation …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches To Teach Foundational Cybersecurity Failures, Chinedum Amaechi, Doris Asogwa, Samuel Alade

Journal of Cybersecurity Education, Research and Practice

SourceURL:file:///home/amaechi/Documents/ *Journal of Cybersecurity Education, Research and Practice (JCERP)*. **Title:** The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches to Teach Foundational Cybersecurity Failures.docx

Background: Between March and April 2026, a single threat actor allegedly compromised four Nigerian institutions across banking, payment infrastructure, government registry, and power distribution sectors. The breaches exposed millions of records and disrupted critical services, yet all four exploited elementary vulnerabilities taught in introductory cybersecurity courses. Objective: This pedagogical case study analyzes the four breaches as a unified phenomenon of "normalized negligence" and provides ready-to-use teaching materials for cybersecurity educators. Methods: Using open-source intelligence analysis of …

Methods Of Harvest And Compositional Characterization Of Hemp Fibers From Medical Cannabis Biomass Using Detergent Fiber Analysis, Abigail Lazier, Srishti Banerji, Jennifer Macadam, Bruce Bugbee

Publications

Medical cannabis production generates large quantities of stem biomass that is typically discarded despite its potential as a source of natural hemp fibers. This study developed and evaluated two methods for recovering fibers from greenhouse-grown medical cannabis using water retting and compared their composition with commercially produced industrial hemp fibers. Fiber quality was assessed using detergent fiber analyses to quantify cellulose, hemicellulose, and lignin fractions. Both harvest methods produced usable fibers, although one approach (method A) yielded cleaner fibers after shorter retting durations, while the second approach (method B) offered greater potential for large-scale processing. Increasing retting duration improved fiber …

The Utah Reusable Root Module: Evapotranspiration Dynamics And Moisture Sensor Performance In Five-Month Reused Peat-Based Media, Claudia Garrido-Ruiz, Bruce Bugbee, Juan D. González-Teruel, Scott B. Jones

Controlled Environments

Efficient water management is essential for closed-loop food production in space applications. The Utah Reusable Root Module (URRM) is designed to support repeated cropping in the same peat-based growth media. Here, we report moisture sensor performance, nighttime-to-daytime evapotranspiration (ET) rate, yield, and water-use efficiency (WUE) in the Engineering Development Unit (EDU) using Outredgeous lettuce. Five previous crops had been planted in the same media, and this study reports growth and ET from the final crop cycle. Volumetric water content (θ_ᵥ) was monitored using two electromagnetic moisture sensors (CS650 and TEROS ONE) across five root modules (RMs) with multiple …

Beyond The Honeypot: Increasing Adversarial Cognitive Load Through Interactionless Cyber Deception, Marcus Rozier, Connor Dedic, Ted Mcdaniel, Hadley Westover

Space Dynamics Laboratory Publications

Traditional cyber deception mechanisms, such as honeypots and honey-tokens, typically rely on adversary interaction to trigger alerts and provide defensive value. This paper introduces the concept of interactionless deception—a defensive paradigm focused on the strategic manipulation of the environment to disrupt the cyber kill chain without requiring direct engagement. By utilizing a greedy top-k selection method to analyze MITRE ATT&CK® data across 178 Advanced Persistent Threat (APT) groups, this research identifies seven high-frequency sub-techniques that represent common attacker behavior. To counter these, the authors developed a series of proof-of-concept tools, including deceptive web proxies, simulated command-and-control (C2) beacons, and …

A Low Noise, High Qe, Large Format Ccd Camera System For The Nasa Mighti Instrument, Jed Hancock, Joel Cardon, Mike Watson, James Cook, Mitch Whiteley, James Beukers, Chris Englert, Charlie Brown, John Harlander

Space Dynamics Laboratory Publications

Outline

• MIGHTI Instrument Overview and Configuration
• Camera System Block Diagram
• Flight Camera Heads, Electronics Box, and CCDs
• CCD Testing at e2v
• AI&T at the Space Dynamics Lab
• Electro-Optical Characterization and Performance Results
• Conclusions

Summary Of Beaver And Iron Counties’ Water Conservation And Provisioning Strategies, Lisa Welsh, Joanna Endter-Wada, Burdette Barker, Bethany Neilson, Anna Mcentire, Melissa Stamp, Brian Steed

Reports

This report focuses on water conservation and provisioning strategies that both Beaver and Iron Counties are pursuing to help meet their citizens’ current and future water needs and to contribute to statewide water conservation efforts. It primarily relies on publicly available data from state, county, conservancy district, and city databases, plans, and documents. The purposes of this document are to provide regional context for understanding water use in Beaver and Iron Counties and to describe water conservation strategies that can influence the trajectories of their future water use. 

In both Beaver and Iron Counties, agriculture remains the primary user of …

Polysemicolon; Novice Programmers And Java Keywords, Briana C. Bettin

Michigan Tech Publications

Most industrial programming languages leverage the English language for reserved keywords – words which a program compiler recognizes as specific execution commands. The divide between expert and novice programmers showcases an intriguing middle-ground by which the polysemy of many keywords becomes revealed. This essay explores a sampling of the multitude of keyword interpretations that a novice programmer may derive from the Java language’s syntactic style and keywords specifically, and how the polysemy of both “English” and “code” meanings to these terms affects the novice-expert programmer transition.The transition from novice to expert, and the mapping of the career of metaphor to …

Equity And Justice In Water Pricing And The Effects On Water Distribution System Management, Brian Barkdoll

Michigan Tech Publications

Equity regarding access to potable water is paramount. Municipal Water Distribution Systems supply potable water to users and are essential to public health. To find the optimal price of water to maximize utility revenue and allow changes to the system components for capital and maintenance expenditures, network modeling was performed for 15 real MDWSs. A new power-law price-usage elasticity curve, entitled the Power Law Elasticity Function (PLEF), was used that allowed for various users, both high- and low-income, and a non-discretionary level of usage. It was found that: (1) the maximum profit was obtained when the price was approximately 0.8 …

Empowering Change From The Ground Up: Women’S Entrepreneurship In Sub-Saharan Africa’S Informal Sector, Rita Abban, Esi A. Elliot

International Business and Entrepreneurship Faculty Publications

Women’s entrepreneurship in Sub-Saharan Africa (SSA) is a critical driver of socio-economic development, within the informal sector where women enterprises are concentrated. Despite substantial contributions, structural and institutional barriers impede the formalization of these businesses, curbing their economic impact. This study examines how women entrepreneurs in Ghana and SSA navigate informal practices to achieve economic mobility. Employing a systematic literature review - PRISMA framework, the research synthesizes key themes including entrepreneurial capacity, sustainability, intellectual property, and institutional support. A comparative lens incorporating Rwanda and South Africa reveals Ghana’s high rate of female entrepreneurship, predominance of informal trade, and socio-cultural dynamics …

Multi-Scale Drivers Of Beetle Biodiversity In A Rapidly Urbanizing Region, Alessandra Pandolfi

Graduate Studies Theses and Dissertations 2026

As cities continue to expand, designing urban landscapes that balance ecological resilience with biodiversity conservation has emerged as a pressing challenge. This dissertation examines urban ecosystems as complex and dynamic environments shaping plant and animal communities, with a particular focus on ground-dwelling beetles as ecologically significant indicators of environmental change. Conducted across the Orlando metropolitan area, one of the fastest-growing regions in the United States, this dissertation integrates experimental and observational approaches. Specifically, it aims to (1) test sustainable landscaping practices, (2) compare the ecological outcomes of conventional and alternative residential landscape designs, and (3) assess how gradients of urbanization …

Deep Learning Framework For Sow Posture Classification From Depth Images: Comparison With Data Transformation Techniques, Models, And Cross-Validation, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Suzanne M. Leonard, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Piglet preweaning mortality (PWM) in the United States averages ≈14–15%, with sow overlaying causing about one third proportion of these losses. This research aimed to develop and evaluate deep learning models to classify six sow postures using depth images to monitor behaviors linked to overlaying risk. Top-down depth images were captured with Kinect V2^® cameras at 10 frames min^-1 for five consecutive days (2 days before to 2 days after farrowing), yielding 26,506 training images from 18 sows, 17,901 testing images from 12 sows, and 4,697 additional images from three sows in diagonal stalls for external validation. Three …

Assessment Of Soybean Response To Irrigation Variability In Eastern Nebraska Using The Aquacrop Model, Anmol Singh, Saleh Taghvaeian, Yufeng Ge, Derek M. Heeren, Frank Bai

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Soybean [Glycine max (L.) Merr.] is a major irrigated crop in eastern Nebraska, where recent expansions in irrigated agriculture and projected trends in irrigation demand necessitate thorough investigations of approaches that can optimize its irrigation management. In this study, the AquaCrop model was calibrated and validated using 19 variable irrigation treatments from a five-year field experiment. The model accurately simulated canopy cover, soil water content, and grain yield, with validation normalized root mean square error (nRMSE) of 12%, 7%, and 7%, respectively. The model was subsequently applied to estimate soybean yield and water requirement during a 15-year period (2010–2024) …

Sustaining High-Quality Service-Learning In Research Intensive Universities: A Qualitative Study Of Instructor Perspectives, Marika Koch

Graduate Studies Theses and Dissertations 2026

In a world that often feels disconnected due to our sociopolitical climate, there is a need to create socially aware and civically engaged adults. Service-learning integrated into higher education courses can do that and more. Research indicates that both students and the community benefit significantly when students participate in effective service-learning classes. Students who take service-learning courses in college tend to exhibit higher academic achievement, enhanced social and emotional skills, and greater long-term civic engagement. Effective service-learning courses share three common elements: they foster a strong connection to course objectives, promote reciprocity for all involved, and encourage active student reflection. …

Accuracy Of The Phenotypic 1g Test To Detect Mycobacterium Tuberculosis And Drug Resistance From Sputa In The Us-Mexico Border, Mia Aguirre, Doris Ayala, Juan Ignacio Garcia, Yoscelina Estrella Martinez-Lopez, Amberlee Hicks, Nadine M. Chacon, Ashley Gay-Cobb, Alyssa Schami, Selena Zavala-Perez, Blanca I. Restrepo

School of Medicine Publications

Background: With >10 million new tuberculosis (TB) cases/year, a limitation to TB control is the lack of simple and accurate tests for TB diagnosis and drug-susceptibility testing (DST) in endemic regions. We evaluated the accuracy of the first-generation, low-complexity phenotypic TB test (1G test), designed for simultaneous Mtb detection and resistance to isoniazid, rifampicin and moxifloxacin, suitable for resource-limited settings.

Methods: A cross-sectional study was conducted using sputa from 426 possible pulmonary TB subjects from two small Mexican cities bordering Texas. The 1G test was compared against phenotypic TB detection tests in the region [acid fast bacilli smear microscopy and …

Clinical Outcomes Of Bloodstop Ix Application In Crico-Tracheal Resection And Anastomosis For Laryngotracheal Stenosis, Mohamed Yasser Elnaggar, Hisham Atef Ebada, Hossam Elsisi, Ali Tawfik

Mansoura Medical Journal

Objectives: To assess the surgical outcomes among laryngotracheal stenosis patients who underwent tracheal/crico-tracheal resection anastomosis for with application of BloodSTOP iX on the anastomotic line as well as the operative field.

Methods: Fourteen patients participated in this prospective study. The stenotic airway segment was resected circumferentially using primary end-to-end anastomosis. The authors of this article used the same standardized surgical techniques described in the literature and used by them previously. All patients had suprahyoid release, and trachea-hyoid de-tensioning stitches were inserted to reduce the anastomotic tension. To promote healing, BloodSTOP iX was administered across the anastomosis line and surgical outcomes …

Strontium Titanate For Capacitor And Energy Storage Applications At Cryogenic Temperatures, Hung Trinh

Doctoral Dissertations

This study investigates the dielectric properties of single crystal and ceramic strontium titanate (SrTiO₃) for cryogenic capacitor applications from room temperature to 4 K. Permittivity (k) and loss tangent are dependent on temperature, frequency, mechanical stress, and applied DC electric field. Accordingly, the dielectric constant and loss tangent were measured at various frequencies and DC bias levels. Loss tangent data are also presented as equivalent series resistance (ESR). For single crystal SrTiO₃, an impurity level of ≈500 ppm barium resulted in an increase of the maximum permittivity to approximately 50,000 at 6 K. This relatively high …

Frame: Fast Reference-Based Ancestry Makeup Estimation Tool, Pramesh Shakya, Ardalan Naseri, Degui Zhi, Shaojie Zhang

Faculty, Staff and Student Publications

Motivation: The availability of large-scale genetic data presents a unique opportunity to study the genetic ancestries of individuals, which requires an efficient and scalable method. The existing global ancestry methods are accurate, but they cannot scale to large genetic datasets. Identity-by-descent (IBD) segments are DNA segments shared by individuals such that they are inherited from a common recent ancestor without recombination. These IBD segments, which reflect co-ancestry, provide an efficient alternative for inferring genetic ancestry.

Results: We introduced a reference-based global ancestry inference method called FRAME (Fast Reference-based Ancestry Makeup Estimation). FRAME utilizes partial local ancestry information estimated through IBD …

Hallucinated Legal Presentations In Civil Trial Courts, Jeffrey Parness

Cardozo Law Review de•novo

Increasingly, hallucinated legal presentations are being discovered and sanctioned in U.S. federal and state civil trial courts. Such presentations encompass papers that are signed, filed, submitted, or advocated, which contain nonexistent legal sources, whether case precedents, statutes, court rules, administrative regulations, or otherwise. These presentations may be discovered by judges, presenting lawyers, opposing lawyers, unrepresented parties, or witnesses.

Ai Data Center Dynamic Load Effects On Current Transformer Saturation, Sergio A. Hernandez

Electrical Engineering Theses

AI data centers can produce rapid changes in electrical demand that may influence current transformer performance during faults. This study evaluates the effect of an AI data center transient on CT saturation during single line-to-ground faults using a 400 V, 60 Hz grid connected inverter model in MATLAB/Simulink. The normal condition transient produced a maximum RMS current rate of approximately 211 A/ms, which was used along with the maximum power condition to define fault inception cases. A MATLAB time-domain CT model then swept the fault current DC offset coefficient to determine the minimum offset required for CT saturation. The calculated …

Experimental Thermal Characterization And Comparison Of Direct Liquid Cooling And Air Cooling For A High-Density Gpu Server Thermal Test Vehicle, Oluwagbolahan Esan

Mechanical and Aerospace Engineering Theses

As the power density of artificial intelligence (AI) and high-performance computing (HPC) servers escalates, air cooling is approaching fundamental scaling limits set by air's low convective heat transfer coefficient and rising parasitic fan power. This thesis presents an experimental comparison of direct-to-chip liquid cooling and air cooling for a high-density GPU server, using a Thermal Test Vehicle (TTV) that emulates the device layout and power-density regime of an 8-GPU SXM5-class baseboard (eight emulated GPU blocks and four NVLink Switch modules). The liquid configuration was tested at 8.8 kW (8.0 kW GPU, 800 W switch) across three Coolant Distribution Unit (CDU) …

Neuromodulation Of Pain-Related Network Dynamics: Effects Of Electroconvulsive Stimulation On Local Field Potential Activity In A Formalin Pain Model, Diana A. Ibarra

Psychology Theses

Electroconvulsive therapy (ECT) is an established neuromodulatory intervention used to treat severe psychiatric conditions and is known to briefly affect memory function. Given that chronic pain affects millions and often leads to opioid dependence, ECT has been investigated to treat chronic pain. This study examined how electroconvulsive stimulation (ECS), the experimental equivalent of ECT used in animal models, alters or reduces pain-related brain neural activity associated with maladaptive pain-related memory circuit representations. The hypothesis is that ECS will disrupt or reduce neural activity associated with pain-related memory circuits, potentially revealing neural mechanisms that link pain and memory circuits through …

Trump's War On Diversity, Equity, And Inclusion, Nancy C. Marcus

Faculty Scholarship

Among the many head-spinning developments that have occurred from the first days of President Trump’s second presidency are his attacks on DEI (diversity, equity, and inclusion), including anti-DEI edicts targeting educational institutions. This article provides a chronology and analysis of the early 2025 Trump administration’s attacks on DEI targeting schools nationwide, the resulting harms, and responses thereto, including litigation. A discernible refrain in the early litigation challenging President Trump’s anti-DEI attacks targeting educational institutions across the country has been how those attacks cross a clear constitutional line: the prohibition of unconstitutionally obscure governmental mandates. At its core, the void-for-vagueness doctrine …

Rewards That Resonate- How Incentivized Online Reviews Shape Customer Loyalty And Review Outcomes, Sameeha Khizindar

Marketing Dissertations

In today’s competitive marketplace, online reviews have become a central feature of consumer decision-making and business strategy. Research consistently documents that online reviews have a positive impact on outcomes such as review volume and product sales, underscoring their critical role in shaping firm performance. However, the majority of consumers do not voluntarily write reviews, posing a challenge for companies that rely on user-generated content. To address this issue, companies often offer incentives to motivate customers to write reviews. Despite their widespread use, research on their impact remains limited. This dissertation is comprised of two essays that examine the impact of …

End-To-End Development And Experimental Validation Of A 1/10-Scale Autonomous Vehicle, Rikkin Pankaj Panchal

Electrical Engineering Theses

Autonomous vehicle development demands vast resources, making scaled down platforms a critical alternative for solving core algorithmic challenges. The primary contribution of this thesis is the end to end development and validation of a complete real time autonomous driving pipeline deployed on a one tenth scale vehicle. To streamline platform development, an AI assisted annotation framework automates dataset generation, significantly reducing manual labor while improving training data quality. The system perception stack features a reinforcement learning guided online multi camera calibration framework that enables adaptive surround view stitching without the need for offline recalibration. This is paired with robust lane …

Utilizing Machine Learning Techniques For Computer-Aided Covid-19 Screening Based On Clinical Data, Honglun Xu, Andrews T. Anum, Michael Pokojovy, Sreenath Chalil Madathil, Yuxin Wen, Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Scott Moen, Eric Walser

Mathematics & Statistics Faculty Publications

The COVID-19 pandemic has highlighted the importance of rapid clinical decision-making to facilitate the efficient usage of healthcare resources. Over the past decade, machine learning (ML) has caused a tectonic shift in healthcare, empowering data-driven prediction and decision-making. Recent research demonstrates how ML was used to respond to the COVID-19 pandemic. This paper puts forth new computer-aided COVID-19 disease screening techniques using six classes of ML algorithms (including penalized logistic regression, random forest, artificial neural networks, and support vector machines) and evaluates their performance when applied to a real-world clinical dataset containing patients’ demographic information and vital indices (such as …