Digital Commons Network^™

Campus Crises And The Limits Of Title Vi, Suzanne B. Goldberg, Olatunde C.A. Johnson

Faculty Scholarship

This Piece examines the deployment of Title VI of the Civil Rights Act of 1964 as a mechanism for regulating campus conflict following the 2023 to 2024 campus protests and seeks to reset the discourse in light of the statute’s history, doctrine, and role in higher education. Title VI is an important tool for addressing identity-based harassment, epithets, and violence between students, but it is neither designed nor effective as a tool for negotiating clashes between universities’ cornerstone commitments to robust debate and an optimal learning environment for all students. In converting the statute from a source of protection against …

Disconsents, Daryl J. Levinson, David E. Pozen

Faculty Scholarship

Consent is an indispensable standard and organizing principle in any liberal legal order that prizes self-directed autonomy, self-identified preferences, and collective agreement. Yet consent’s capacity to advance those values has become increasingly uncertain in a society beset by power imbalances, information asymmetries, and multiple forms of polarization. In this Article, we document how the rise of neoliberalism has led to greater reliance on consent throughout U.S. law, while at the same time leading to greater doubts about its moral efficacy and empirical feasibility. Connecting and generalizing pathologies of consent-based regulation that have been identified within myriad domains, the Article identifies …

Therapeutic Potential Of Hookworm Proteins In Promoting Regulatory Immune Responses To Modulate Trypanosoma Cruzi Induced Liver Inflammation And Oxidative Stress, Maria Jose Villar, Cristina Poveda, Bin Zhan, Maya Gonsoulin, Kathryn M Jones

Faculty, Staff and Students Publications

Background: Chronic Trypanosoma cruzi infection causes significant liver pathology, and current antiparasitic treatments often worsen hepatic damage. Hookworm-derived proteins have shown immunomodulatory effects in inflammatory diseases, including T. cruzi-induced myocarditis.

Objective: This study evaluates recombinant hookworm proteins AIP-1 and AIP-2 for treating liver inflammation in a murine model of chronic Chagas disease (CD).

Methods: Female BALB/c mice infected with T. cruzi were treated with AIP-1 or AIP-2 (1 mg/kg) for seven days. Controls were untreated or received aspirin (25 mg/kg) for 14 days. Liver tissues were analyzed for parasite burden (quantitative polymerase chain reaction - qPCR), histopathology (H&E, Picrosirius Red), …

Inclusive Psychology Pedagogy Is Linked To Increased Belonging And Reduced Prejudice Toward Consensually Non-Monogamous Relationships, Rose Bern, Rachel Dinero, Kate Linenbach, Amy Moors

Psychology Faculty Articles and Research

Students enrolled in an elective psychology course entitled Relationship Science, which emphasized inclusive curricula focused on relationship diversity, completed pre- and postcourse assessments of attitudes toward consensually nonmonogamous (CNM) relationships, relationship skills (e.g., constructive communication), and classroom belonging. Given the established literature on lesbian, gay, bisexual, transgender, queer+-inclusive pedagogy, attitudes toward lesbian, gay, bisexual, transgender, queer+ individuals were also measured. Comparisons of pre- and postcourse assessments revealed significant reductions in stigma toward individuals engaged in CNM, alongside increased acceptance of CNM relationships more broadly. Students also reported increases in relationship skills and classroom belonging over the course of the …

A Firm’S Operational Risk: Data Set And Empirical Evidence, Vivek Astvansh, Joseph J. Simpson

International Business and Entrepreneurship Faculty Publications

Problem definition: A firm’s stakeholders would benefit from a quantitative measure of the managerial disclosure of its operational risk and the implications of this disclosure. However, a quantitative and scalable measure of a firm’s disclosed operational risk is unavailable. Thus, the firm’s stakeholders remain unaware of its disclosed operational risk and the risk’s implications. Methodology/results: U.S. law requires a public firm to textually disclose its operational and nonoperational risks in Item 1A of its annual report (i.e., Form 10-K). We train 64 transformer models on U.S. public firms’ Item 1A text to score 131,920 firm-years (16,959 firms, 2005 to 2024) …

Making Words Count: Computational Linguistics In Management Research, Joseph J. Simpson, Richard A. Hunt, David M. Townsend, Judy Rady, Elham Asgari, Mohammad Rady, Daniel J. Beal

International Business and Entrepreneurship Faculty Publications

In recent years, a rapidly growing number of management scholars are using computational linguistics (CL) to analyze vast corpora of naturally occurring organizational language. Yet the rapid adoption of CL methods has outpaced the development of shared standards for linking theoretical constructs, linguistic data, and computational measurement. We synthesize 353 articles published in leading management journals for 2013–2025, identifying four recurring challenges shaping the credibility of CL-based research: misalignment between constructs and textual corpora, unnecessary model complexity, the opacity of large language model workflows, and insufficient transparency in reporting. Building on these patterns, we develop four integrative design principles—construct-language fit, …

Beyond Exposure: Belief In Police Misinformation, Media Consumption, And Support For Policing Reform, Linda Balcarova Dietz

Electronic Theses & Dissertations (2024 - present)

In today’s post-truth era, misinformation has become a central feature of modern society. While not a new phenomenon, the 2024 Presidential election demonstrated what a serious problem it represents, as public perceptions were driven more by information they received (true or false) than by objective social conditions. Policing is one of the most debated topics in criminal justice, dividing public opinion along partisan and racial lines. Studies show that the information people receive about police shapes their attitudes, yet criminologists have largely overlooked how misinformation may influence those views. This dissertation fills that gap by experimentally testing how exposure to …

Using Medication Pass Analysis To Examine Longitudinal Changes In Va Inpatient Nurse Staffing And Workload Before And Through The Covid-19 Pandemic: 2019-2022, Melissa K Knox, Chase S Eck, Lynette Dorsey, Paras D Mehta, Christine Yang, Laura A Petersen

Faculty, Staff and Students Publications

Background: The COVID-19 pandemic resulted in extended disruption to the health care system. National-level data-driven comparisons of inpatient nurse staffing and workload before and during the pandemic have been limited.

Objectives: Assess the extent to which registered nurse (RN) staffing and workload changed from prepandemic levels in a national integrated health care system.

Research design: Longitudinal descriptive analysis. Medication pass analysis using bar code medication administration data for the peak-time medication pass (PTM) assessing year-over-year changes from 2019 to 2022. To assess significance of year-over-year changes in means we used the Welch 2-sample t test.

Subjects: Staff (N=42,999) administering PTM …

Commencement Program 2026, Loma Linda University

Commencement Programs

CONTENTS

1 | Message from the President

3 | 2026 Events of Commencement

5 | The Academic Procession

6 | Institutional Administration

7 | Board of Trustees

8 | Significance of Academic Regalia

9 | University History Highlights

11 | Loma Linda University Health and Loma Linda University Honorees

The Programs, The School Honorees, and The Speakers

24 | School of Medicine

43 | School of Pharmacy

54 | School of Dentistry

72 | School of Public Health

85 | San Manuel Gateway College

91 | School of Allied Health Professions — Allied Health Studies, Cardiopulmonary Sciences, Clinical Laboratory Science, …

The Law And Economics Of Resilience, Doni Bloomfield, Jeff Gordon

Faculty Scholarship

The field of law and economics has long studied externalities, the costs and benefits actors create and yet fail to internalize. But scholars have largely overlooked a set of externalities that lead firms across the economy to systematically underinvest in resilience, with macroeconomically harmful consequences. In this Article, we address this gap with a theory of the law and economics of resilience, by which we mean the ability of markets to reliably and optimally meet demand for goods and services without extreme price fluctuations. 

We argue that corporate resilience is determined by a conflict between two basic forces: the resilience …

Untangling Ai Openness, Parth Nobel, Alan Z. Rozenshtein, Chinmayi Sharma

Faculty Scholarship

The debate over AI openness—whether to make components of an artificial intelligence system available for public inspection and modification—forces policymakers to balance innovation, democratized access, safety and national security. By inviting startups and researchers into the fold, it enables independent oversight and inclusive collaboration. But technology giants can also use it to entrench their own power, while adversaries can use it to shortcut years and billions of dollars in building systems, like China’s Deepseek-R1, that rival our own. How we govern AI openness today will shape the future of AI and America’s role in it.   Policymakers and scholars grasp the …

A Framework For Reliable Domain Ai: Knowledge-Grounded Data And Logic-Graph Reasoning, Yangxiao Bai

Electronic Theses and Dissertations

Large language models (LLMs) perform well on general tasks, yet their deployment in specialized, high-stakes domains such as public health remains unreliable. Models hallucinate facts, combine multi-step evidence incorrectly, and retrieve context that corrupts downstream reasoning. Three root causes underlie these failures: training data that underrepresents rare but critical domain themes, reasoning that is opaque and unverifiable, and evidence use that cannot be re-checked when the evidence changes. This dissertation addresses all three. First, we introduce HDBSCAN_SSA, a coarse-to-fine topic-modeling pipeline that couples density-based clustering with a novel Semantic Seed Aggregation algorithm. Using samples drawn from a larger corpus of …