Digital Commons Network^™

Usa V. Davone Walker

2026 Decisions

USDC for the Eastern District of Pennsylvania

Jose Aristy-Rosa V. Attorney General United States Of America

2026 Decisions

Agency

Usa V. Joseph Berger

2026 Decisions

USDC for the Eastern District of Pennsylvania

Bruce Norton V. Joseph Adams

2026 Decisions

USDC for the Middle District of Pennsylvania

Usa V. Omar Bernard

2026 Decisions

USDC for the Eastern District of Pennsylvania

Medical Device Regulation: We Can’T Just Go Back (Nor Should We), George Horvath

Utah Law Review

For much of the twentieth century, the federal Food and Drug Administration maintained its reputation as the preeminent regulatory agency, renowned for providing vigilant and scientifically rigorous oversight that ensured the safety and effectiveness of drugs and medical devices. But a former FDA commissioner recently lamented that “[t]he FDA as we’ve known it is finished.” Many commentators have raised concerns that reductions in force will leave the Agency understaffed, that these shortages will prolong review times, and that the standards applied to premarket evaluations of medical products will allow unsafe and ineffective products to reach the market. But in the …

Post-Approval Problems, Anjali D. Deshmukh M.D., J.D.

Utah Law Review

Sitting across from 4-year-old Jessica’s parents, I whispered the truth: the most promising drug to fight their daughter’s disease was a therapy approved for adults, not for children her age. We could estimate the dose, monitor her organs, and hope the toxicity would not outpace the benefits, but there was no high-quality clinical trial data proving it was safe for kids like her yet, despite congressional mandates. Unexpected safety issues are often identified after drugs are approved and used outside of a closely controlled clinical trial, especially in understudied populations like children, the elderly, and pregnant women. When I asked …

A Primer Of Medical Device Regulation: How To Go From Reactive To Proactive To Better Protect Patient Safety, Sneha Dave, Rita F. Redberg

Utah Law Review

FDA oversight of medical devices has too often been reactive, following preventable disasters rather than based on a proactive commitment to patient safety. The history of the device framework, the expansion of expedited pathways, weak postmarket surveillance, broad preemption, and conflicted patient advocacy together create a perfect storm of a regulatory environment that tolerates uncertainty and externalizes costs onto patients. Reforms such as time‑limited breakthrough status, mandatory and enforceable postmarket studies, requirements for more robust safety and efficacy data, and strengthened reporting duty for clinicians would move device regulation closer to FDA’s statutory mandate to protect public health. It would …

Why Did Medieval Chroniclers Copy Other Histories?, Christopher Berard

Humanities Program Faculty Publications

Medieval chroniclers sometimes borrowed entire passages from earlier works, adapting old words to describe new people and events. Christopher Berard examines this understudied practice and shows how such borrowing could be more than a shortcut, allowing writers to draw meaningful connections between the past and their own times.

Centering California’S Black Multilingual Learners: Intersections, Equity, And (In)Visibilities, Ayanna Cooper, Ed.D., Magaly Lavadenz, Ph.D., Elvira G. Armas, Ed.D., Malane Morales Van-Hecke

Education and Policy Briefs

Grounded in an asset-based approach to educational transformation, this education and policy brief presents an exploratory inquiry into Black Multilingual Learners (BMLs) in California, recognizing the intersection of their racial, linguistic, and cultural identities. The inquiry draws on statewide demographic and English language proficiency data, relevant research, student and educator bright spots, and the Young, Bilingual and Black in California Survey of local educational agency representatives. Three key findings emerged: Visibility Gaps in state reporting systems, an Intersectional Data Gap caused by the absence of disaggregated racial data on public-facing data platforms, and an Infrastructure Gap in local data collection …

Prune: A Patching Based Repair Framework For Certifiable And Privacy-Robust Unlearning Of Neural Networks, Xuran Li, Jingyi Wang, Xiaohan Yuan, Peixin Zhang

Research Collection School Of Computing and Information Systems

Machine unlearning has emerged as a key mechanism for enabling the “right to be forgotten” in neural network models, allowing the selective removal of specific training data upon request. Existing approaches typically rely on retraining models with the remaining data, which is computationally expensive and difficult to verify, especially when deployed models are distributed or resource-constrained. To address this challenge, our prior conference work introduced PRUNE, a patching-based framework that formulates unlearning as a neural network repair problem. PRUNE achieves targeted forgetting by learning lightweight patch networks that redirect model predictions on the data to be unlearned while preserving performance …

Bayesian Network: An Explainable Artificial Intelligence (Xai) Approach To Human Performance Modelling For Control Room Operations, Houda Briwa

Theses

Alarm systems in process industry control rooms routinely exceed the performance targets set by standards such as EEMUA 191, placing operators under conditions where reliable performance is most difficult to achieve. Predicting how operators respond under such conditions is central to risk management, yet current Human Reliability Assessment (HRA) methods depend on expert judgement that is rarely tested against operational evidence, assume independence among factors known to interact, and do not explicitly represent the cognitive processes through which performance emerges. In Resilience Engineering terms, these methods encode Work-as-Imagined with limited means to assess how far expectations hold when work is …

Noncoding Rna Transcripts Based Molecular Phenotyping Of Masld And Mash Patients, Frida M. Delgadillo, Karla Perez, Barbara Yang, Subramanian Dhandayuthapani, Murali Yallapu, Subhash C. Chauhan, Enrique I. Ramos, Shrikanth S. Gadad

School of Medicine Publications

Background and aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a progressive hepatic metabolic disorder characterized by excessive fat accumulation in hepatocytes. MASLD can advance to metabolic dysfunction-associated steatohepatitis (MASH). These conditions often lead to hepatic fibrosis, cirrhosis and hepatocellular carcinoma (HCC) if not timely diagnosed and managed; thus, molecular phenotyping of MASLD and MASH conditions is highly desirable. The analyses were performed to identify distinct, differentially expressed genes, particularly noncoding ones, in MASLD and MASH patient samples, thereby expanding diagnostic and therapeutic options.

Methods: We extracted the data from a recent transcriptomic study by Govaere et al. on MASLD …

Tidings, Volume 4 (2026), University Of Dayton. Marian Library

Tidings: An Annual Communiqué from the Marian Library

No abstract provided.

Fda Policymaking In The Trump Deregulation Era, Jordan Paradise J.D.

Utah Law Review

This Article endeavors to contribute to and continue the conversation about how the Trump deregulatory agenda is impacting a vital national public health agency, the FDA, and our national collective public health in ways that deviate from longstanding agency policy and practice. Various other FDA policy actions deserve concerted attention by legal scholars, including the agency’s recent moves in the direct-to-consumer marketing (DTC) drug space through targeted warning letters and publicity about reforming the “adequate provision” standards, food additives and generally recognized as safe (GRAS) listing processes and directives to industry, adjustments to the biosimilar interchangeability requirements through guidance document, …

Fda In 2050: Best- And Worst-Case Scenarios, Michael S. Sinha

Utah Law Review

In 2025, the Trump administration disrupted many critical aspects of the biomedical research infrastructure in the United States. The Food and Drug Administration (FDA) was not spared. Robert F. Kennedy, Jr., a known vaccine denier with no health care experience, was confirmed as Secretary of the U.S. Department of Health and Human Services (HHS) in February 2025, followed by the confirmation of Dr. Martin Makary as Commissioner of the FDA in April. Departures of long-time FDA scientists, coupled with appointments of key personnel, seemingly because of their public stances on COVID-19 mRNA vaccines, have resulted in a tumultuous year for …

Evaluating The Case Against Fda Independence, Patricia J. Zettler, Rachel E. Sachs

Utah Law Review

Many former FDA officials, both politically-appointed leaders and those from the career ranks, as well as numerous FDA scholars have advocated for increased FDA independence in varied forms, and for good reason. At the same time, there are advantages to FDA’s current structure, and there may be ways to insulate career scientific experts’ decisions from political influence and to address other problems by generating independence, without overhauling the agency’s design. Policymakers should consider all options, as particular independence features may, or may not, be the best way, to address concerns about FDA’s capacity to carry out its vital public health …

Pornography And Men's Violence Against Women And Children: From Production To Consumption, Gail Dines Phd., Mandy Sanchez Phd

Dignity: A Journal of Analysis of Exploitation and Violence

The average age of first viewing mainstream pornography for boys is around ten to twelve years old. The pornography they encounter is largely from “tube sites,” named after YouTube, which are popular because they require no registration, no payment, and no subscription. For the most part, an adolescent only needs access to a digital device to view hundreds of thousands of free videos. As we discuss in this article, the weight of the scientific evidence shows that viewing pornography is associated with multiple social, emotional, sexual, and cognitive harms. However, none of these studies provide a detailed analysis of …

The Revival Of Honor Killing In Iranian Kurdistan: A Sociological Analysis Of Gender, Land, And Identity, Parviz Sobhani

Dignity: A Journal of Analysis of Exploitation and Violence

Honor is a foundational yet restrictive sociocultural construct in Kurdish society of western Iran. Transgressions of its boundaries, particularly by women, are historically met with violent sanction. Despite processes of modernization, honor killings have re-emerged as a conspicuous phenomenon in Iranian Kurdistan, suggesting an active revival rather than a passive residue of tradition. This study employed a qualitative, interpretive phenomenological approach. The data were collected through semi-structured interviews with 21 social scientists and researchers from January 2022 to February 2024 in Iranian Kurdistan.  A grounded theory framework guided the thematic analysis. Findings reveal a dual symbolic encoding of honor: it …

When Protection Becomes Predation: Militarized Masculinity And Sexual Violence In Northeastern Nigeria, Tosin Osasona

Dignity: A Journal of Analysis of Exploitation and Violence

The study investigates the structural and situational drivers of conflict-related sexual violence (CRSV) perpetrated by state security actors in the context of Nigeria’s counterinsurgency campaigns in Borno State. Drawing on militarized masculinity and strain and deprivation theories, and using a qualitative, interpretive research design, the study argues that CRSV is not an isolated or episodic form of deviance by individual soldiers and security personnel but is embedded in routine military–civilian interactions. Advancing an interactionist explanation of CRSV in Nigeria’s Islamist counterinsurgency operations, the study demonstrates that the likelihood of sexual violence increases through the interaction of gendered institutional norms, operational …

Public Cleanliness Satisfaction Survey 2025, Paulin Straughan, Mathews Mathew

Research Collection School of Social Sciences

The Singapore Management University undertook the seventh wave of the Public Cleanliness Satisfaction Survey (PCSS), with 2,007 Singapore residents participating in the survey conducted from December 2025 to April 2026.

The findings from the 2025 wave of the PCSS continued to reflect generally high levels of satisfaction with public cleanliness in Singapore. Based on the Public Cleanliness Satisfaction Index, 91% of respondents reported being satisfied with the cleanliness of public spaces they had recently visited. While this represents a slight shift from 94% in 2023, overall satisfaction levels across all public space domains remained high. Continued community responsibility and action …

The Information Edge - Library Newsletter - September 2026, Rose Gillen, Jennifer Rosenstein

University Library Newsletter

No abstract provided.

Tolkien Fanzine Dataset, 1967-2017 [Bulk 1969-1979], Robinson Ensz, Gabriel Marotto, Aidan Oakey, Ivy Stanich, Ethan Thomas

Tolkien Resources

This dataset reveals the heretofore hidden contents of fan magazines (fanzines) related to the works of J.R.R. Tolkien that were created from 1969 through the publication of Tolkien’s The Silmarillion in 1977. It supplements the earlier Tolkien Fandom Review by S. Gary Hunnewell that discussed fanzines created through 1968. The dataset provides an item level index of the fanzines’ content and is intended to aid researchers in Fan Studies. It is accompanied by an inventory document that lists the fanzine titles and provides brief notes about some of them. Data was drawn from Marquette’s large holding of Tolkien fanzines, including …

Folding The 4-H Clove-Air, Claes Thelemarck

UNH Cooperative Extension

No abstract provided.

2026-09-01 Rivisal To Uar 906.02, Morehead State University. Faculty Senate.

Faculty Senate Records

Proposed revisal to UAR 906.02 submitted to the Faculty Senate for review on September 1, 2026.

Predicting Less, Understanding More: Shifting The Use Of Machine Learning From Individual Prediction To Structural Insights In Systems That Affect Children And Families, Amanda J. Fairchild, Joshua Gupta-Kagan, Andrew Barclay

Faculty Scholarship

Machine learning algorithms have been deeply embedded across domains, valued for their capacity to analyze large-scale data and to support a range of descriptive and predictive tasks. Despite their versatility, most applications to date have focused on individual-level prediction at the expense of broader structural insights. This paper shifts that focus by using comprehensive demographic, juvenile justice, and other key data from child-serving agencies in one southern state to examine how juvenile and family court intake structures shape case outcomes in delinquency referrals. Specifically, we combine machine learning algorithms with a doubly robust, potential outcomes-based modeling procedure to estimate the …

Pseudo-Traveling Waves And Bumps In Quantum And Classical Hierarchical Cellular Neural Networks, Wilson A. Zuniga-Galindo, B. A. Zambrano-Luna, Chayapuntika Indoung

School of Mathematical & Statistical Sciences Faculty Publications

We study the existence of pseudo-traveling waves and bump solutions for two classes of hierarchical cellular neural networks (CNNs) defined over the ring of p-adic integers Zp. The first type is a p-adic CNN described by a reaction-diffusion equation, while the second type is its quantum analog obtained via Wick rotation. The p-adic CNNs are hierarchical versions of the classical Chua-Yang CNNs; these networks have a tree-like hierarchical architecture with infinitely many cells and hidden layers. The states are governed by integro-differential equations on Zp. The p-adic traveling waves behave fundamentally differently from their Archimedean counterparts. A traveling wave restricted …

Remote Sensing Integrated Modeling Of Fall Armyworm Parasitoid Interactions In Africa Using Fractional Differential Equations, Marian Adan, Steeven Belvinos Affognon, Henri E.Z. Tonnang, Klaus Greve, Christian Borgemeister, Georg Goergen

All Peer-Reviewed Publications

The invasion of fall armyworm (Spodoptera frugiperda; FAW) into Africa poses a major threat to agricultural systems, particularly maize production, necessitating effective biological control strategies. This study presents an ecological modelling framework that integrates temperature data with fractional differential equations (FDEs) to investigate interactions between FAW and its parasitoid natural enemies. By incorporating temperature-driven effects on life-history traits and ecological memory dynamics, the model captures key features of host–parasitoid interactions under variable environmental conditions. Equilibrium states corresponding to FAW extinction, parasitoid extinction, and coexistence were analytically derived, and sensitivity analysis of the FAW reproduction number highlighted its central role in …

Collecting Holistic Evidence On Agroecology Performance To Accelerate Sustainable Food System Transitions, Sarah K. Jones, Andrea Cecilia Sánchez, Chris Dickens, Matthias S. Geck, Chaturangi Wickramaratne, Veronique Alary, Peter Bolo, Dennis Junior Choruma, Somphasith Douangsavanh, Modou Gueye Fall, Gatien Falconnier, Shweta Gupta, Chris Kettle, Smitha Krishnan, Sylvia Nyawira, Guillermo Orjuela-Ramirez, Boko Michel Orounladji, Piedad Pareja, Telma Sibanda, Christine Lamanna

All Peer-Reviewed Publications

A growing body of research shows the potential of agroecology for enabling a shift to planet-friendly and socially just agrifood systems through context-specific transition pathways. We conduct a scoping review to identify and evaluate the potential of 42 existing agroecology adherence and/or agricultural performance assessment tools to generate credible, legitimate, salient and transferable evidence to inform these transitions. Results show that while multiple relevant tools exist, each of them can be strengthened in at least one area. While most tools are transferable (low time and resource requirements) and have legitimacy (open access with transparent methods), tools have variable saliency (holistic …

Machine Learning-Enabled Chemical Ecology For Integrated Pest Management: From Volatiles To Field Applications, Steve B.S. Baleba, Victor O. Omondi, Pascal Aigbedion-Atalor, Emmanuel Peter, Souleymane Diallo, Komi Mensah Agboka

All Peer-Reviewed Publications

Machine learning is transforming chemical ecology by accelerating the discovery and deployment of semiochemical-based tools for precision pest management. These advances are particularly important in the face of climate change, pesticide resistance, and the growing need for sustainable agricultural intensification. This review synthesizes how machine learning can be applied across the semiochemical discovery and implementation pipeline, from chemical signal detection to field deployment and decision support for integrated pest management. We review major machine learning approaches and demonstrate how they extract biologically relevant information from high-dimensional chemical, electrophysiological, behavioral, sensor, and field datasets. These methods accelerate semiochemical discovery, prioritize candidate …