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Generative Ai Risks And Resilience: How Users Adapt To Hallucination And Privacy Challenges, Joon Soo Lim

Media Studies - All Scholarship

Purpose

Design/methodology/approach

Findings

Inside Ai, Charles Duan

Contributions to Books

It is beautiful, the Mandelbrot set. In full, it resembles a horseshoe crab or a sideways Rorschach test, flecked with patterns of spikes and lobes. Zooming in at any point near its edge reveals infinite depths of swirls, reminiscent of Van Gogh’s Starry Night or an intricate paisley textile. The shape could easily hang on a wall, an example of fine abstract art. Yet the entirety of that shape can be computed by repeated application of a simple mathematical function:2 f(x) = x2 + c. Is all the beauty and complexity of the Mandelbrot set “inside” the symbols …

Combining Life Grid With Biographical Narrative Approach In Reconstructing Living Situation Of Metro Manila’S Street Dwellers, Melissa Q. Navarra, Irene Reyno, Wander Van Der Vaat

Institute of Philippine Culture (IPC)

Engaging homeless populations in biographical research is often hindered by the deep-seated distrust and trauma that characterize their lived experiences. This study introduces a methodological approach that transforms this hurdle, turning the research interview into an empowering and collaborative encounter. Using a combination of the Life History Calendar (LHC) and biographical narratives, we explored the complex life transitions of 15 individuals living on the streets and in a cemetery of Metro Manila, Philippines. The LHC served as a co-constructed visual scaffold, enabling participants with low educational attainment and histories of trauma to recall and structure their life stories with remarkable …

Pre-Production Plastic Pellets (Pppp) Virtual Webinar, Coastal Response Research Center

Coastal Response Research Center

The Coastal Response Research Center (CRRC) organized and facilitated a virtual webinar on “Pre-Production Plastic Pellets (PPPP)”. The webinar was held in collaboration with NOAA’s Office of Response & Restoration (OR&R) and a steering committee comprised of representatives from federal agencies and other stakeholders. It was held on June 3 & 4, 2025. This was the second program CRRC and OR&R conducted on PPPP. The first was an in-person workshop in 2023.

Specific Objectives:

1. Improve and enhance collaboration among responders and researchers for PPPP incidents;
2. Evaluate recent (since 2023 workshop) PPPP case studies for challenges and lessons learned;
3. Explore operational …

Issue 22: Actors Overlooked In Economic Integration: Syrian Refugee Single Mothers In Turkey, Ayşe Perihan Kırkıç, Fatmanur Delioglu

International Migration Research Centre

Syrian refugees in Turkey are struggling with integration, as policies fail to address holistic approaches, especially at they pertain to class and gender. Previous research on this topic has focused on legal rights, employment, the impacts on Turkey's labor market, and local perceptions of Syrian refugees in the workforce. This policy paper addresses a significant gap in the integration of Syrian refugee single mothers. Specifically, this research explores how economic integration is influenced by class and gender. To understand their experiences, semi-structured interviews were conducted with Syrian refugee single mothers residing in Istanbul. We argue that the economic integration of …

Sparse-Data Orbit Estimation In Low Earth Orbit Using The Markov Chain Monte Carlo Ensemble Gaussian Mixture Filter, Nicholas J. Oden

Master's Theses

The number of space objects (SOs) in low Earth orbit (LEO) continues to increase rapidly, creating challenges for the current ground-based tracking network, which cannot accommodate the projected growth in SOs. Catalog maintenance relies on frequent observations for reliable reacquisition, with Two-Line Element (TLE) sets typically generated daily to mitigate rapid error growth from poor TLE accuracy. This constraint limits the ability to track more objects with existing infrastructure. This work evaluates the Markov Chain Monte Carlo Ensemble Gaussian Mixture Filter (MCMC EnGMF), a nonlinear, non-Gaussian filter well-suited for sparse tracking scenarios where higher post-update accuracy is needed to reduce …

Front Matter, Michigan Journal Of Race & Law

Michigan Journal of Race and Law

Front matter for Volume 30, Issue 2 of Michigan Journal of Race & Law

The “Founder’S Gaze”: How The Fourth Amendment Is A Surveillance Technology That Enables Ai To Scale Control Over The Subaltern, Diego H. Alcalá Laboy

Michigan Journal of Race and Law

Much has been written about the rise of artificial intelligence and machine learning applications and how the current Fourth Amendment law has been unable to mitigate the privacy harm that these tools produce. This article explores how the development and usage of AI and machine learning models is dependent on the originalism principles of Fourth Amendment Law. Utilizing Critical Surveillance Studies and Anticolonial Theory, I posit that the Fourth Amendment is a surveillance technology that categorizes conduct, persons, and places to impose the material conditions for the subjugation of historically minoritized communities within the United States. Furthermore, this article explores …

Collaborative Language Planning Project: Report 12: Summer 2025, Mizuki Miyashita, Sean Chandler

Collaborative Language Planning Project: Reports and Newsletters

Collaborative Language Planning Project report of activities, September 2024 - August 2025.

Curing The Peasant's Disease : Frank Oldt’S Work And Research On Hookworm Disease In South China, 1905-1926, Jiaying Fu

Lingnan Theses (MPhil & PhD)

While current scholarship on “hygienic modernity” in China focuses on the construction of urban health systems and institutional infrastructures, this study proposes an alternative analytical lens by foregrounding the domain of agricultural health. It aims to investigate how early twentieth-century medical researchers uncovered public health models grounded in China’s agrarian conditions. Taking the case of Frank Oldt (1879–1976), a medical missionary living in Guangdong between 1905 and 1926, this research examines how he identified, interpreted, and sought to mitigate the problem of hookworm disease—a parasitic condition intricately linked to China’s farming practices and rural environmental conditions.

Specifically, this thesis aims …

The Effects Of Mouthguard And Physiotherapy On Bruxism: An Emg And Posture Angle Analysis—A Pilot Clinical Study, Nathalie Yared, Pascal El Braidy, Romy Slaiby, Amine El Zoghby

International Arab Journal of Dentistry

Objectives: The purpose of this research was to determine whether a clinical trial to assess the impact of physiotherapy and mouthguards on bruxism was feasible. This included assessing participant recruitment, carrying out the interventions, and gathering data with appropriate techniques. The study focused on using posture angle analysis to evaluate changes in posture linked to bruxism and electromyography (EMG) to detect muscular activity. By exploring these elements, the study aimed to provide the groundwork for a more extensive, larger clinical trial.

Methods: Participants were recruited from the USJ dental clinics after their consultations. They were screened for bruxism using a …

Table Of Contents, Editorial Board, Law School Faculty And Administration

Nevada Law Journal

No abstract provided.

Nothing To Gain: The Disparate Impact Of The Capital Gains Tax Preference On Women And Persons Of Color, Ann M. Murphy

Nevada Law Journal

Tax preference provisions are scattered across the Internal Revenue Code, and the capital gains tax rate offers an enormous advantage for wealthy taxpayers. When first enacted, it was touted as eliminating the “lock-in effect” which caused investors to hold on to their investment property. Today, it is justified as encouraging investment and eliminating gains produced merely by the passage of time. The provision’s unequal benefits are hidden from the picture. Although not overtly dis-criminatory, the preference operates as a tax cut for the wealthy. Women and per-sons of color see little benefit from the lower tax rate. The difficulty of …

Getting It Just Right: The Goldilocks Level Of Securities Regulation, David Nows

Nevada Law Journal

Across the world, developed economies use roughly the same framework to regulate entrepreneurial ventures raising capital. The minor differences in how developed countries regulate securities for emerging businesses lie primarily in their legal thresholds for fundraising caps, disclosure requirements, and the criteria for accredited investors. This uniform regulatory framework persists despite significant empirical evidence that the citizens of developed countries vary widely in their desire to pursue entrepreneurial opportunities, their perceptions of the number and quality of entrepreneurial opportunities available to them, and their perceptions of their own ability to succeed in entrepreneurship. This Article advocates for a new approach …

A Safe Structure: Utilizing Antitrust Structuralism To Address Institutional Investors In The Housing Market, Vanessa M. Brady

Nevada Law Journal

No abstract provided.

The Worker Fight Against Compelled Listening: The Past, Present, And Future Of Captive Audience Meetings In The Wake Of Amazon.Com, Hailey Simpson

Nevada Law Journal

No abstract provided.

Enhancing Internet Of Things (Iot) Network Security: A Machine Learning-Driven Framework For Real-Time Intrusion Detection And Anomaly Classification, Loiy Alsbatin, Firas Zawaideh, Basem Mohamad Alrifai, Tareq A. Alawneh, Tareq A. Alawneh

Mesopotamian Journal of CyberSecurity

The rapid proliferation of IoT devices presents serious IoT network cybersecurity threats; hence, advanced IDSs are necessary. Signature and rule-based IDS mechanisms cannot address novel attacks, generate excessive alarms, and are computationally inefficient. Therefore, in response, in this paper, a machine learning IDS for IoT network real-time intrusion detection and anomaly categorization is proposed via black widow optimization (BWO) for optimal feature and hyperparameter selection. The IDS employs standard machine learning models, such as random forest and support vector machines (SVMs), and deep models, such as long short-term memory (LSTM), to address IoT environment nuances. The framework is evaluated on …

A New Framework Enhancing, Evaluation, And Benchmarking For Cybersecurity Ddos Attack Detection Models Through The Integration Of Bwm And Vikor Methods, Alaa Mohammed Mahmood, İsa Avci, Sahar Yousif Mohammed

Mesopotamian Journal of CyberSecurity

The proposed work aims to develop a DDoS attack detection model that targets web servers by selecting the appropriate classifier based on several criteria and enhancing the accuracy. The detection system has been constructed using machine-learning algorithms to train and test the CIC-DDoS2019 dataset, and it is integrated with a stacked classifier to enhance accuracy. The classifiers depend on multiple criteria. For that, we employed the BWM to calculate the criteria weights and VIKOR to rank the classifiers, which are part of the MCDM methods. We consulted three experts to establish weights for the categories. Also, we utilized two methods …

Blockchain-Integrated Edge-Cloud-Enabled Healthcare Data Analytics Based On Distributed Federated Learning And Deep Neural Networks, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Israa Badr Al-Mashhadani, Sajida Memon, Sajida Memon, Haydar Abdulameer Marhoon, Marwan Ali Albahar

Mesopotamian Journal of CyberSecurity

The exponential growth of healthcare Internet of Things (IoT) data necessitates secure, low-latency analytics that extend beyond centralized architectures. This paper presents BDAFL DNN, a blockchain-integrated data analytics framework that combines Federated Learning (FL) and Deep Neural Networks (DNNs) for real-time, privacy-preserving healthcare analytics across edge and cloud resources. Local devices such as smartwatches and phones collect noninvasive time series sensor streams (heart rate, temperature, and abdomen sensors), perform on device DNN training, and send only model updates to healthcare edge nodes, where a blockchain ledger validates updates for integrity and traceability; validated updates are then aggregated in the cloud …

“Small” Voices, Big Wins: Analyzing Remedies In Children’S Climate Cases, Maria Antonia Tigre

Sabin Center for Climate Change Law

Children’s climate litigation has emerged as a powerful tool to address the climate crisis, with young plaintiffs around the world taking governments and corporations to court to demand climate action. This Article examines successful cases — those in which relief sought by the applicants was fully or partially granted — across five continents, providing an “around the world” perspective on the evolution and impact of youth-led climate litigation. Focusing on landmark cases in Australia, Colombia, South Africa, South Korea, and the United States, this analysis highlights the arguments presented by young plaintiffs and the judicial reasoning that supported the relief …

Price Adjustment Clauses: Enhanced Price Volatility Forecasting For Construction Materials, Ahmed Shiha, Mariam Elazhary, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Price adjustment clauses (PACs) are used by state departments of transportation (DOTs) to share the risk of material price fluctuations. Existing models that depict the price fluctuations of materials forecast a mean within a horizon while relying on the assumption of a constant volatility throughout that horizon. However, none of them examine whether the prices of construction material exhibit similar volatility following a sudden price surge or a price drop. The prospect of PACs and their associated trigger values is hindered in the absence of empirical assessments of their capacity to capture the volatilities in material prices. This paper fills …

The God Prompt And Deus Ex Machina: Techno-Theological Tropes And Operational Metaphors In Generative Media, James Hutson

Faculty Scholarship

This study reframes two durable tropes—the ―God Prompt‖ and the deus ex machina—as analytic lenses for understanding how contemporary generative systems stage beginnings and endings of cultural production. The ―God Prompt‖ denotes command-driven synthesis in which minimal textual instructions instantiate content on demand, crystallizing a production loop of input, model execution, and post hoc evaluation that orients anticipation toward instantaneous yield and controllable variation. The deus ex machina names an externally imposed resolution that interrupts causal development—historically a crane-borne god, functionally an algorithmic override—thereby concentrating attention on closure mechanics rather than world-building continuity. Read together, the pair offers a compact …

Designing For Complementarity: Skills, Work, And Education In The Age Of Ai — A Review, James Hutson

Faculty Scholarship

This review synthesizes 2023–2025 evidence on how generative AI and automation are reconfiguring role structures, skill demands, and entry pathways, and proposes design principles that shift attention from task substitution to role redesign and talent architecture. Theoretical framework: Drawing on task-based labor economics, socio-technical systems design, and humancapital complementarity, the review distinguishes domains where substitution pressures concentrate from those where augmentation dominates. Method: A narrative review of peerreviewed studies, official statistics, and policy/industry reports prioritized empirically grounded findings on employment effects, skills, governance, and program outcomes; inclusion emphasized methodological transparency and recency. Results and discussion: Convergent evidence shows contraction in …

Joinder, Not Jurisdiction: Toward A New Theory Of Standing, Adam N. Steinman

Faculty Scholarship

This Article builds on an important development in the Supreme Court’s standing jurisprudence to propose a novel theory that would allow more meaningful access to federal courts while vindicating legitimate separation-of-powers concerns. In its recent decision in TransUnion LLC v. Ramirez, the Supreme Court endorsed a theory of standing based on Article II, writing that litigation between private parties—even when explicitly authorized by Congress—can run afoul of the executive branch’s interest in “how to prioritize and how aggressively to pursue legal actions against defendants who violate the law.” This Article II move has been justifiably criticized. But it is …

The Association Between Cardiac Vagal Activity And Urinary Catecholamine: Investigating The Effect Of Race And Sex, Li Shen Chong, Betty Lin, Elana B. Gordis, De Wayne P. Williams, Julian F. Thayer

Faculty Research, Scholarly, and Creative Activity

Black individuals are at greater risk for the development of cardiovascular diseases compared to White individuals. Autonomic nervous system (ANS) dysregulation has been identified as a significant risk factor contributing to racial disparities in cardiovascular disease, yet systematic racial differences that affect the measurement of ANS activity among White and Black participants are likely obscuring understanding about ANS-health disparity links. Moreover, sex differences in ANS activity have been observed. Thus, efforts to elucidate the comparability of ANS indices across race and sex are needed. This study aimed to investigate the effects of race and sex on the associations between two …

Exact And Approximate Conformal Inference For Multi-Output Regression, Chancellor Johnstone, Eugene Ndiaye

Faculty Publications

It is common in machine learning to estimate a response y given covariate information x . However, these predictions alone do not quantify any uncertainty associated with said predictions. One way to overcome this deficiency is with conformal inference methods, which construct a set containing the unobserved response with a prescribed probability. Unfortunately, even with a one-dimensional response, conformal inference is computationally expensive despite recent encouraging advances. In this paper, we explore multi-output regression, delivering exact derivations of conformal inference p-values when the predictive model can be described as a linear function of y . Additionally, we introduce a multivariate …

Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar

Faculty Research, Scholarly, and Creative Activity

Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent public-safety risk, we propose a real-time Driver Drowsiness Detection System that achieves both high accuracy and fast inference on standard hardware. Our key idea is to combine two complementary deep-learning strategies: 1) a custom Convolutional Neural Network (CNN) paired with a Support Vector Machine (SVM) classifier, and 2) a lightweight transfer-learning model built upon a pre-trained convolutional backbone. We evaluate these approaches on two datasets: …

A Context-Sensitive Roadway Classification Framework For Speed Limit Setting In The Us, Cheng Kai Hsu, Melody Tsao, Marcel E. Moran, Julia B. Griswold, Robert J. Schneider, John M. Bigham

Faculty Research, Scholarly, and Creative Activity

In the US, speed limit setting (SLS) procedures have historically relied on driver-behavior-based methods, such as the 85th percentile speed, which are considered objective and allow for consistent application. However, this approach has notable shortcomings, including drivers’ tendency to underestimate their speeds, speed creep, and insufficient consideration of vulnerable road users, which may conflict with the Safe System Approach and Vision Zero initiatives endorsed by the USDOT (US Department of Transportation). In contrast, context-sensitive approaches, which classify roads based on roadway typologies, have been developed in countries like New Zealand, Sweden, the Netherlands, and Australia. While effective, these approaches have …

Insulin Therapy In Acute Necrotizing Hypertriglyceridemia-Induced Pancreatitis: A Case Report, John Stevenson, Medjine Jarbath, Ethan Morgan

Aurora GME

No abstract provided.

Pre-K Teachers’ Perceptions About Professional Learning: Influence On Instructional Methods, Classroom Management Skills, And Student Outcomes, Victoria Abakah Korsah

Electronic Theses and Dissertations

The purpose of this qualitative descriptive phenomenological study was to solicit pre-K teachers’ perceptions about professional development and its influences on instructional methodology, classroom management skills, and student outcomes. Interviews conducted with 11 teachers from childcare centers in a major urban city of Illinois provided insight into experiences of types of PL and development engagement, such as online courses, webinars, learning communities, coaching, mentoring, professional conferences, and content selection. Other experiences involved social-emotional learning, lesson planning, project-based learning, and how to teach children with special needs. The interview data collected from the participants yielded five themes using Colizzi’s data analysis …