Digital Commons Network^™

Malapportionment: A Murder Mystery, Daniel Wodak

Northwestern University Law Review

Malapportionment—electoral districts with divergent ratios of people to representation—was ruled to be unconstitutional in a widely venerated series of cases before the Warren Court. Those cases held that a principle of political equality, one person, one vote, is required by the Constitution. But what is the content of that principle? Many Justices and commentators declare that it is vague, empty, circular, or meaningless. This creates a murder mystery. Malapportionment was killed, but by what exactly? This Article seeks an answer by focusing on the Supreme Court’s commitments about the scope and strictness of one person, one vote: it …

Magnesium, Iron, And Calcium Isotope Signatures Of Chicxulub Impact Spherules: Isotopic Fingerprint Of The Projectile And Plume Thermodynamics, Courtney Jean Rundhaug, Martin Schiller, Martin Bizzarro, Zhengbin Deng, Hermann D. Bermúdez

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The Cretaceous-Paleogene boundary (KPB) represents a massive extinction event in Earth's history, probably triggered by the Chicxulub asteroid impact ∼66 Ma. The event dispersed vast volumes of ejecta materials including exceptionally preserved impact spherules in the Gorgonilla Island KPB section. Previous work identified three populations of spherules at Gorgonilla: 1) ballistically transported molten spherules, 2) a mixture of molten and condensed spherules dispersed by the expansion of a high-temperature, turbulent cloud (the "pyrocloud"), and 3) tiny droplets condensed from the plume (the "fireball layer"). We determine the Mg, Fe, and Ca isotopic compositions of pristine spherules to better understand the …

Shared Voices: How Pk-16 Leaders Perceive School University Partnership Alignment With Caep Standards, Ann-Marie Hancock

Doctoral Dissertations

This mixed-methods study examined PK–16 leaders’ perspectives regarding the alignment of an educator preparation provider (EPP) with the Council for the Accreditation of Educator Preparation (CAEP) Standards 2 (Clinical Partnerships and Practice) and 5 (Quality Assurance System and Continuous Improvement). Data were collected through a researcher-designed survey and semi-structured interviews with principals, district administrators, and university leaders. Survey results provided descriptive insights into stakeholder perceptions, while interviews offered deeper contextual understanding of the strengths and challenges within school–university partnerships. Findings indicated that leaders valued residency programs and recruitment pipelines as key strengths, highlighting the mutual benefits of sustained clinical partnerships. …

Secret Key Generation Based On The Physical Layer Characteristics For Iot Networks, Abdullah Dakhlallah Alshamdayn

Doctoral Dissertations

The rapid expansion of low-resource devices, coupled with advances in telecommunications, has significantly increased the number of connected devices and enabled the development of affordable, energy-efficient, portable, and high-performance sensors for diverse applications. However, this convenience comes with security and privacy concerns related to the reliability of hardware, software, and communication infrastructure. The extensive interconnectivity of limited-resource devices and the transmission of large data volumes pose significant security challenges in wireless networks. The future wireless technologies, such as 5G, will enable the transfer of critical data, including personal, financial, military, and industrial information, necessitating secure communication in wireless networks. Generally, …

Towards Robust Autonomous Systems: Handling Multi-Modal Uncertainties In Gps-Denied Environments, Vivya Kalidindi

Doctoral Dissertations

This dissertation focuses on designing a robust and uncertainty-aware framework for autonomous systems operating in GPS-denied environments, such as indoor infrastructures, underground tunnels, and lunar surfaces. The proposed framework addresses the challenges posed by multi-modal uncertainties, including sensor noise, distributional shifts under adverse conditions, and conflicting decision-making preferences. These challenges compromise the reliability and adaptability of autonomous platforms. To overcome these challenges, the proposed framework adopts a layered architecture that integrates advanced methodologies across the sensing, perception, and decision-making layers. At the sensing layer, an Edge-Kalman Filter combined with a density ratio-based update mechanism is employed to reduce aleatoric uncertainty …

Inverse Design For Generating Initial Conditions In Scientific Simulations, Leslie Horace, Christin Whitton, Vanessa Job, William Jones, Nathan A. Debardeleben

Computing Sciences

We propose a conditional normalizing flow (CNF) surrogate model to solve generative, many-to-one inverse problems in scientific simulations governed by partial differential equations (PDEs) with time-evolving interactions between heterogeneous materials. We present two case studies: electrostatic potential and heat diffusion, which serve as proxy simulations for generating diverse sets of initial conditions that can reproduce an observed output state (transient or steady). Finally, we provide a comprehensive overview of the synthetic datasets, the model specification, each stage of the experimental workflow, evaluation of training performance, and uncertainty quantification for the generated samples.

Connected-Component Labeling Using Hls For High-Energy Particle Physics Instruments, Nick Song, Marion Sudvarg, Roger Chamberlain

Computer Science Faculty Research & Creative Works

Many instruments used in high-energy particle physics observations, e.g., gamma-ray telescopes, use FPGAs for front-end signal processing of raw sensor data. The use of high-level synthesis (HLS) to express the signal processing algorithms has the potential to significantly reduce development time for new instruments of this type. We describe our experience with one of the computational stages in the signal processing pipeline, island detection, exploring its implementation across multiple configurations: 1D versus 2D islands, and 4-way versus 8-way connected-component labeling (CCL) in the 2D configuration. We report resource usage and performance for both configurations of 2D island detection, including the …

The Transitional Human Being: Literary, Journalistic, And Cinematographic Representations Of The Twentieth- And The Twenty-First-Centuries Italy, Ron Kubati

Purdue Studies in Romance Literatures

This book analyzes the crisis of the idea of human being based on timeless notions, in the Euroamerican context, as seen primarily through literature and cinema. It focuses on Italy, which has been and remains a crossroads for diverse cultural and political currents—open to Mediterranean cultural influences while remaining within a typically Western cultural context. The “new man,” defined by Corrado Alvaro during his trip in Russia in 1934 as “transitional,” implies a human being with a fundamental need for change. Instead of the “new man,” Italo Calvino in the 1960 preface to his I nostri antenati wrote about the …

Studying The Corrosion Inhibition Ability Of Metoclopramide Drug On The Copper Surface In Seawater And Theoretical Studies, Nafeesa J. Kadhim, Ahlam M. Farhan, Rasha A. Jassim, Muna S. Sando, Hawraa M. Abdulkareem, Taghried A. Salman

Baghdad Science Journal

Protection study of the corrosion behavior of Copper surface was conducted with several concentrations of drug. Experimentally, voltammetric measurements were used to check the inhibition efficiency (% IE) in saline solution of 3.5% NaCl. The results showed an increase in the inhibition efficiency with increasing the concentration of the drug was 95.90%. Theoretical treatment of the drug in the gas phase was performed using the (hyperchem-8.07) program for molecular mechanics and semi-empirical computations. The (PM3) approach was used to determine the heat of formation (ΔH˚f), binding energy (ΔEb), and total energy (ET) for durq at 298 K. To explore the …

Advancements In Understanding Spasticity: A Neuromusculoskeletal Modeling Perspective, Mohammad S Shourijeh, Argyrios Stampas, Shuo-Hsiu Chang, Radha Korupolu, Gerard E Francisco

Faculty, Staff and Student Publications

Spasticity, a complex consequence of upper motor neuron lesions, poses challenges for clinical assessment due to its neural and mechanical origins. Traditional scales like the Modified Ashworth and Tardieu Scales provide subjective, context-limited insights, often missing spasticity's dynamic nature. Neuromusculoskeletal (NMS) modeling offers objective, quantitative insights by integrating patient-specific muscle-tendon properties, reflex dynamics, and multi-joint biomechanics. This scoping review examines advancements in spasticity modeling, comparing mechanical, neurological, and integrated approaches, and their applications in conditions like cerebral palsy and stroke. We highlight barriers to clinical translation, including computational demands and regulatory challenges, and propose future directions, such as real-time simulation …

Quantum Readiness In Cybersecurity Education: A Framework For Preparing The Next Generation In The Post-Quantum Era, George Antoniou

Faculty and Staff Publications & Presentations

The rapid advancement of quantum computing represents both a revolutionary opportunity and an existential threat to contemporary cybersecurity infrastructure. While quantum computers promise unprecedented computational capabilities, they simultaneously pose a critical risk to current cryptographic protocols that protect sensitive data, financial systems, and national security frameworks. Post-quantum cryptography (PQC) standards, recently formalized by NIST in 2024, provide a roadmap for quantum-resistant encryption. However, a significant gap exists between technological advancement and educational preparedness, with most cybersecurity curricula failing to adequately prepare students for the quantum era. This paper addresses the urgent need for comprehensive quantum readiness in cybersecurity education across …

Modeling And Optimizing Real-Time Telescope Interaction For Multi-Wavelength Observation Of Gamma-Ray Bursts, Ye Htet, Marion Sudvarg, Honghao Yang, Jeremy Buhler, Roger Chamberlain, James Buckley

Computer Science Faculty Research & Creative Works

Multi-wavelength observation of gamma-ray bursts (GRBs) requires real-time interaction among multiple telescopes. A gamma-ray telescope detects and localizes a GRB in the sky and must then communicate with an optical telescope to direct the latter toward the GRB as quickly as possible. We previously developed software for ADAPT, a suborbital gamma-ray telescope, to localize GRBs in real time, on a timescale shorter than that of the GRB itself. This work therefore studies progressive localization, in which ADAPT computes a series of increasingly accurate location estimates during a GRB to enable a partner instrument to more rapidly find it. We describe …

Modular Architecture For High-Performance And Low Overhead Data Transfers, Rasman Mubtasim Swargo, Engin Arslan, Md Arifuzzaman

Computer Science Faculty Research & Creative Works

High-performance applications necessitate rapid and dependable transfer of massive datasets across geographically dispersed locations. Traditional file transfer tools often suffer from resource underutilization and instability due to fixed configurations or monolithic optimization methods. We propose AutoMDT, a novel Modular Data Transfer Architecture, to address these issues by employing a deep reinforcement learning agent to simultaneously optimize concurrency levels for read, network, and write operations. This solution incorporates a lightweight network-system simulator, enabling offline training of a Proximal Policy Optimization (PPO) agent in approximately 45 minutes on average, thereby overcoming the impracticality of lengthy online training in production networks. AutoMDT's modular …

Forecasting Pediatric Emergency Department Arrivals: Evaluating The Role Of Exogenous Variables Using Deep Learning Models, Egbe Etu Etu, Jordan Larot, Kindness Etu, Joshua Emakhu, Sara Masoud, Imokhai Tenebe, Gaojian Huang, Satheesh Gunaga, Joseph Miller

Faculty Research, Scholarly, and Creative Activity

Background Forecasting pediatric emergency department (ED) demand remains a critical challenge in healthcare operations. This study aimed to identify exogenous variables influencing pediatric ED visits and evaluate the performance of different forecasting models. Method Using a retrospective observational design, we analyzed 192,347 pediatric ED visits across nine hospitals in Southeast Michigan between 2017 and 2019. Patient data were aggregated into daily arrival counts and enriched with exogenous variables such as weather, air quality, pollen, calendar, Google search trends, and chief complaints. Feature selection was performed using XGBoost and SHapley Additive exPlanations to identify the most influential predictors. Three forecasting models …

Practicing With Avatars: Exploring Mixed Reality Simulation To Develop Msjccs, Amy L. Cook, Lillian Day, Kristin M. Murphy, Taylor Healy, Julia Kausel, Lindsay M. Fallon, Christopher B. Denning

Journal of Counselor Preparation and Supervision

This study used qualitative content analysis (QCA) to explore perceptions of engaging in Mixed Reality Simulation (MRS) with avatars on the development of Multicultural and Social Justice Counseling Competencies (MSJCCs) for school counselors in training. Results suggested that MRS contributed to improving participants’ confidence in MSJCCs, and they would have valued additional practice with MRS to address implicit bias with clients. Results indicate the need for additional MRS research to advance the development of MSJCCs in school counselor training.

In Vivo Pharmacokinetic Evaluation Of A Gastro-Retentive Triple Drug Delivery System Utilizing Natural Polymers For Enhanced Helicobacter Pylori Eradication, Edukulla Satheesh Kumar, Hindustan Abdul Ahad, Thirumalesh Naik Sugali Banoth

Bulletin of Faculty of Pharmacy Cairo University

This study evaluates the in vivo pharmacokinetics of triple-drug gastro-retentive formulation (metronidazole- Plantago ovata seed mucilage/ clarithromycin- Abelmoschus esculentus fruit mucilage/enteric-coated pantoprazole) for Helicobacter pylori eradication, with a focus on pharmacokinetic parameters (e.g., relative bioavailability vs. conventional doses) as the true contribution. In a cross over study using six rabbits, plasma concentrations of metronidazole, clarithromycin, and pantoprazole sodium were measured via High Performance Liquid Chromatography technique, and pharmacokinetic parameters were determined. A single dose of the optimized formulation (C-8) produced optimal drug levels, with a mean Cmax of 24.36 ± 0.84 μg/mL and tmax at 6 hours. The other pharmacokinetic …

Evaluating Student Proficiency In Quantitative Reasoning, Gabriel Chavez, Jennifer Clinkenbeard, Tolga Tezcan, Celine Pinet, Jennifer Duggan, George Beckham, Sumadhur Shakya, Christina Zhang

Numeracy

Quantitative Reasoning (QR) competencies are increasingly vital for academic and professional success across disciplines. This study examines the QR proficiency of over 400 undergraduates through a mixed-methods approach, integrating survey-based self-assessments (n = 469) with direct evaluations of final exams (n = 80). This study took place at a public, primarily undergraduate, four-year state university in Northern California with approximate enrollment of 7,500 students. Although students reported frequent engagement in foundational QR tasks— such as calculation and interpretation—rubric-based scoring revealed inconsistent levels of mastery, particularly on higher-order skills like evaluation and coherence. Regression analyses linked confidence to calculation …

Does The National Benchmark Quantitative Literacy Test Predict Performance In Stem Programmes In Commerce, Engineering And Science?, Robert N. Prince

Numeracy

In South Africa, university completion rates remain low, with only 23% of students finishing within the regulation time (three or four years). These completion rates continue to reflect racial inequalities, with ‘White’ students significantly more likely to complete degrees in professional fields such as engineering and commerce compared to their ‘African’ counterparts. To address these challenges, the South African higher education institutions, through their umbrella body, introduced the National Benchmark (NB) tests to assess students’ academic literacy skills—including quantitative literacy, academic literacy, and mathematics—to identify those most at risk of struggling with the curriculum. The NB tests aim to evaluate …

Cross-Pollination Of Ideas: Exploring The Mental Health Implications Of Academic Pressure In Dual Enrollment Programs For Students, Lorenzo Rene

Concurrent Enrollment Review

The research examined the mental health implications due to the DE program’s academic pressure on students. The available literature demonstrates that the DE program is associated with a large number of students entering colleges, academic success in college, and self-confidence development. Nevertheless, the DE program exerts some pressure on the high school learners in terms of their mental health. Besides managing the high school curriculum, DE students are supposed to complete the relevant degree courses in the DE program. This leads to duplication of academic classes that strains the work-life balance, leading some students to encounter high levels of stress …

Navigating Dual Worlds: The Complex Experiences Of Concurrent Enrollment Instructors, Teri St. Pierre

Concurrent Enrollment Review

Despite the rapid expansion of dual enrollment programs in the United States, limited research has examined the experiences of concurrent enrollment instructors (CEIs), high school teachers who deliver college-level courses within secondary school settings. This qualitative collective case study explores how twelve CEIs within Maine's public universities navigate their unique position at the intersection of K-12 and higher education systems. Guided by role theory (Katz & Kahn, 1978), this research investigated how CEIs perceive their dual role and navigate competing institutional expectations. Five major themes emerged from the analysis: dual system role navigation, pedagogical practices and classroom autonomy, professional relationships, …

Self-Districting: The Ultimate Antidote To Gerrymandering, Edward B. Foley

Kentucky Law Journal

No abstract provided.

The Phantasm Of Principle, Wilfred U. Codrington Iii

Kentucky Law Journal

No abstract provided.

Introduction: There Must Be Something In The Water—Or The Bourbon—In Kentucky: Voting Rights In The Bluegrass State, Joshua A. Douglas

Kentucky Law Journal

No abstract provided.

Dynamic Adjustment Of User Interface Colors Based On Contextual Signals, Tim Whalin

Defensive Publications Series

The user interface colors extracted from source content may exhibit reduced legibility and inconsistent visual fidelity when viewed under different conditions. Factors such as device screen brightness, ambient lighting, and system display modes can alter the perceived color. A system can receive a base color and a set of real-time contextual signals from a computing device and a transformation algorithm can then process these signals to modify properties of the base color, for example, its lightness and saturation, while often preserving its hue. This process can improve the perceptual consistency and readability of user interface colors across various viewing environments …

A Novel Hybrid Intrusion Detection Model: A New Metaheuristic Approach For Feature Selection Based On Ai Techniques For Cyber Threat Detection, Maryam Mahdi Alhusseini, Alireza Rouhi

Iraqi Journal for Computer Science and Mathematics

The rapid increase in internet usage, digital transformation, and the rise of interconnected devices have greatly expanded the attack surface, introducing new and evolving cybersecurity challenges. Conventional security solutions frequently have difficulty adjusting to complex threats and the vast dimensionality of network traffic data, particularly in the case of imbalanced datasets. To tackle these challenges, this research introduces a Hybrid Intrusion Detection System (HyIDS-EVO) that combines the Energy Valley Optimizer (EVO) for feature selection and dimensionality reduction with machine learning classifiers, which include Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN). The system’s effectiveness …

Source Apportionment And Potential Health Risks Of Trace Metals In A Contaminated Urban River In New York/New Jersey Harbor System, Md Shahnul Islam, Sana Mirza, Huan Feng, Tapos Kumar Chakraborty, Yu Qian, Shinjae Yoo

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The Lower Passaic River (LPR), located within the New York/New Jersey Harbor Estuarine System, has experienced long-term industrial activities, resulting in elevated concentrations of trace metals in sediment and water. This study aims to assess the bioaccumulation behavior, potential human health risks, and sources of copper (Cu), lead (Pb), and mercury (Hg) in the LPR. Trace metal concentrations were measured in water, sediment, and seven edible aquatic species. Data were analyzed using statistical approaches, and evaluated by bioaccumulation factors (BAFs) and human health risk assessments based on U.S. Environmental Protection Agency (USEPA) guidelines. Results showed that Hg exhibited the highest …

A Scalable Cybersecurity Model For Academic Makerspaces, William Faircloth

Cybersecurity Undergraduate Research Showcase

Academic makerspaces have become integral hubs of innovation on university campuses, providing students with access to industrial-grade operational technology (OT) such as 3D printers and CNC machines. However, the security posture for these spaces has overwhelmingly focused on physical safety, creating a significant cybersecurity gap. This oversight leaves networked OT vulnerable to cyberattacks, which threaten student intellectual property, expensive equipment, and the integrity of the broader institutional network. This research addresses this critical vulnerability by developing and implementing a secure and scalable cybersecurity model at the Old Dominion University Computer Science Makerspace, founded on two core principles: robust network segmentation …

Deconstructing Tycoon 2fa: A Static Analysis Approach To Threat Intelligence And Automated Defense, Daniel A. Austin Jr

Cybersecurity Undergraduate Research Showcase

It's gotten much easier to be a cybercriminal. We're seeing a boom in "Phishing-as-a-Service" (PaaS) platforms, which sell advanced phishing attacks as a ready-to-use product. This means almost anyone can now get the tools to launch sophisticated attacks, even if they don't have a lot of technical skill.

This research dives into one of the most prominent threats, the Tycoon 2FA phishing kit. This kit is dangerous because it's designed to bypass Multi-Factor Authentication (MFA) using what is known as an Adversary-in-the-Middle (AiTM) attack.

This paper covers how I built and tested a set of Python-based tools to perform "static …

The Inner Workings Of The Flipped Classroom, Kimberly Y. Resendiz

Honors Theses

This paper will be exploring what a flipped classroom is; specifically how teachers use the flipped classroom. First, it is important to note that the flipped classroom is a relatively new method that has popped up as early as the early 2000s. In general, this method allows for teachers to switch the environments in which learning the concepts and doing an activity are switched. The purpose of this paper is to explore the implementation of the four pillars of the flipped classroom, as well as the benefits and challenges STEM teachers face when using flipped classrooms. I have collected data …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites Ur-46 Temporary Best Management Practices Work Plan (Dated October 17, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.