Digital Commons Network^™

Artificial Intelligence In Head And Neck Cancer: Towards Precision Medicine, Jacob Hagen, Logan Hornung, William Barham, Supratik Mukhopadhyay, Adam Bess, Kevin Contrera, Devraj Basu, Vlad Sandulache, Guillaume Spielmann, Sagar Kansara

Faculty Publications

Over the past 20 years, the capabilities of artificial intelligence (AI) have gained significant interest. While AI has been implemented to various degrees in several disciplines, its unique applications in head and neck cancer (HNC) remain underdeveloped. This narrative review examines the existing body of literature regarding the use of AI in HNC. Studies to date have demonstrated AI’s utility across multiple phases of the HNC treatment continuum. Despite its promise, integrating AI into clinical practice faces several challenges, including concerns about system integrity, generalizability, privacy, and bias. In this review, we address these challenges and offer insights into future …

I Do, And I Will: Effectual Religiosity May Strengthen The Triad Chord Of Commitment For Women Of Faith, Tamara M. Chamberlain, Loren Marks, David C. Dollahite, Ashley Lebaron-Black, Elizabeth Kay Madsen, Christina N. Cooper

Faculty Publications

Although religiosity is commonly linked to marital satisfaction in sociological research, few studies have examined how it strengthens marital commitment among women of faith. This study explored the perspectives of religious, heterosexual married women using interviews in the United States from 196 highly religious couples with successful marriages. Three core themes emerged: (1) personal commitment—including the decision to marry, religious beliefs and practices, and the need for effort and sacrifice; (2) moral commitment—highlighting sexual relations before marriage, promises made before God, family, and friends, and views on fidelity and divorce; and (3) structural commitment— emphasizing the role of a religious …

Impact Of Retrieval Augmented Generation And Large Language Model Complexity On Undergraduate Exams Created And Taken By Ai Agents, Erick S. Tyndall, Colleen Gayheart, Alexandre Some, Joseph Genz, Torrey J. Wagner, Brent T. Langhals

Faculty Publications

The capabilities of large language models (LLMs) have advanced to the point where entire textbooks can be queried using retrieval-augmented generation (RAG), enabling AI to integrate external, up-to-date information into its responses. This study evaluates the ability of two OpenAI models, GPT-3.5 Turbo and GPT-4 Turbo, to create and answer exam questions based on an undergraduate textbook. 14 exams were created with four true-false, four multiple-choice, and two short-answer questions derived from an open-source Pacific Studies textbook. Model performance was evaluated with and without access to the source material using text-similarity metrics such as ROUGE-1, cosine similarity, and word embeddings. …

Promoting Better Dispute Decision-Making With An Ai Tool Built On Rps Theory, John Lande

Faculty Publications

Traditional theories of negotiation and mediation rely on rigid models, false dichotomies, and confusing terminology that fails to reflect the complexity of real practice. This article critiques those theories and introduces Real Practice Systems (RPS) theory as a more accurate and practical alternative.

RPS theory conceptualizes negotiation and mediation as sequences of professional judgment shaped by context, experience, and goals, rather than as idealized or linear processes. It promotes a realistic and ethically responsible practice by encouraging reflection, intentional process design, and adaptability.

The article introduces “RPS Coach,” a free artificial intelligence tool built on the ChatGPT platform. It is …

Coding Manual: Analyzing Semistructured Interview Data For Master Narratives, Jayson Seaman, Cindy Hartman, Andrew D. Coppens

Faculty Publications

This coding manual accompanies a methodological reorientation in narrative identity research, one that challenges the field’s prevailing “protagonist bias” — the assumption that first-person autobiographical accounts are the primary or most valid source for identifying cultural master narratives as psychological resources. While much psychological research has centered on how individuals narrate their own lives, this approach can obscure the ways that broader cultural narratives are circulated, reinforced, and contested through discourse beyond the self. This method provides researchers with a systematic approach for identifying how master narratives operate across multiple narrative levels, often outside of biographical storytelling.

Insights From The Front Line: Uplifting Stories Of The Covid-19 Pandemic Through The Eyes Of The Public Health Workforce In Iowa, Heidi Haines, Amanda Sursely, Hanh Pham, Rylee Beltran, Daniel K. Sewell, Lina Tucker Reinders, Natoshia Askelson, Sarah Dixon, Kaitlin Emrich, Christine Estle, Michelle Lewis, Jimmy Reyes

Faculty Publications

Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: We used an innovative mixed methods data collection tool, SenseMaker^® to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured follow-up questions. We conducted descriptive analyses of the quantitative questions. A qualitative thematic and sentiment analysis was applied to all …

Effects Of Elicitation Method On Functionally Relevant Item Selection In Spanish And English Monolinguals And Bilinguals, Dallin J. Bailey, Esther Barahona Wilkes

Faculty Publications

Purpose: One important decision speech language pathologists make when planning anomia treatment is the identification and selection of the specific vocabulary items to target during therapy. However, this process is not entirely straightforward. Although ‘functional relevance’ has high face validity for the identification of target items, interpretations differ, which may impact which words are selected for therapy. As such, target item selection methods vary, with resulting items impacted by the specific method used. There are also many person-level variables that may impact the functional relevance of specific items, such as the heritage language of the patient or their bilingualism status. …

How Stereotypes And Labor Shortages Lured Asians To The Sunshine: A Brief Historical And Demographic Review Of Asian Americans In Florida., Wenxian Zhang

Faculty Publications

Asians began to arrive in Florida in the years after the Civil War, concentrated mainly in railroad construction, agriculture, and service sectors such as laundry, restaurant, and grocery business. Their population grew very slowly until after World War II, when the discriminatory immigration policies were finally lifted. The 1965 immigration reform act, openings of the Walt Disney World and other tourist attractions, the end of the Vietnam War, the thriving sunbelt economy, and the rapid population growth have all brought numerous new Asian immigrants to the southernmost state in America. Shaped by multiple waves of immigration and various socioeconomic factors, …

The Unappreciated Role Of Intent In Algorithmic Moderation Of Abusive Content On Social Media, Xinyu Wang, Sai Koneru, Pranav Narayanan Venkit, Brett Frischmann, Sarah Rajtmajer

Faculty Publications

No abstract provided.

Portrayals Of Disabilities In Picturebooks With The Schneider Family Award, Sohyun Meacham

Faculty Publications

This study analyzed the portrayal of disabilities in picturebooks that have received the Schneider Family Award, a well-known children’s literature award in the United States focused on disability representation. The purpose of the study was to conduct an intersectional analysis of these picturebooks to explore how characters are positioned across multiple categories such as disability, race/ethnicity, gender, class, age, and language. Using the Rating Scale for Quality Characterizations of Individuals with Disabilities in Children’s Literature, the study analyzed all 17 picturebooks appropriate for early childhood that received the Schneider Family Award from 2004 to 2020. The analysis found that these …

Partial Least Squares Multimodal Analysis Of Brain Network Correlates Of Language Deficits In Aphasia, Sigfus Kristinsson Ph.D., Dirk B. Den Ouden, Chris Rorden, Roger Newman-Norlund, Lisa Johnson, Janina Wilmskoetter, Ezequiel Gleichgerrcht, Argye E. Hillis, Gregory Hickok, Julius Fridriksson Ph.D., Leonardo Bonilha

Faculty Publications

Lesion-symptom mapping techniques are essential to determine brain regions critical for language functions. However, high collinearity in neuroimaging and behavioural data remains a challenge for distinguishing neural substrates supporting multiple language domains (shared variance) and those subserving specific language functions (unique variance). Here, we employed a novel approach to multimodal lesion-symptom mapping using multivariate partial least squares regression to delineate the latent structure of lesion-behavioural mapping in aphasia and decompose the shared and unique neural determinants of language impairments. A total of 86 participants with chronic (>12-month post-stroke) aphasia after left hemisphere strokes were examined. Language impairment was assessed …

Symbiotic International Law: Combatting Uyghur Forced Labor, Preston Jordan Lim

Faculty Publications

Since 2017, the Chinese government has launched a campaign of repression against the Muslim Turkic minorities of Xinjiang, a region located in China’s Northwest. While most scholars have focused on the mass internment of Uyghurs and other minorities, this Article highlights an under-discussed aspect of China’s campaign: the construction of a sophisticated forced labor system. Minority forced labor supplies key sectors of the global economy—from the automotive to the energy sectors—and allows Chinese companies to outcompete foreign firms. The unprecedented scope and sophistication of what I term the “modern Xinjiang forced labor system” imperils the very future of the international …

Training Humanoids To Use Good Dispute Resolution Language, John Lande

Faculty Publications

This short essay uses satire to spotlight the entrenched, misleading terminology widely used in the dispute resolution field, especially in legal and academic settings. Drawing on metaphors of humanoids, bots, and malware, it critiques outdated jargon like “facilitative” and “evaluative” mediation and proposes clearer alternatives derived from Real Practice Systems theory. It describes efforts to train an AI tool, the RPS Negotiation and Mediation Coach, to model improved language use and nudge human users toward better decision-making. Though light in tone, it reflects a serious commitment to reforming the way we talk about and practice negotiation and mediation.

Unwarranted Warrants?: An Empirical Analysis Of Judicial Review In Search And Seizure, Brett James Hashimoto, Miguel F.P. De Figueiredo, Dane Thorley

Faculty Publications

Every year, police perform searches governed by the Fourth Amendment on hundreds of thousands of individuals and their property throughout the United States. Many of the academy’s most decorated scholars have focused on the genesis and jurisprudential nature of the Fourth Amendment’s warrant requirement. Surprisingly, we know almost nothing about how the Fourth Amendment regulates searches and how searches actually work in practice.

In this Article, we pull back the curtain on the search and seizure process by presenting the largest quantitative study of warrants of any kind. We analyze over 33,000 warrant applications filed through Utah’s “e-Warrants” system over …

“Let Me Be A Bridge”: Language Brokering Among Emerging Adult Latina Professionals In The Midwest, Elise M. Dubord

Faculty Publications

In immigrant families, bilingual children and adolescents regularly act as translators and interpreters for family and community members who are not fluent in the dominant language. These childhood language brokers later shift the focus of their translation activities as they transition into adulthood and develop professional skills. This research explores narratives of language brokering trajectories of three bilingual Latinas who were emerging adult professionals in three cities in Iowa. Based on a series of interviews collected over a 15 month period, this analysis examines how participants described realigning their family language responsibilities while simultaneously transferring their language brokering skills to …

‘I Feel Like The Most Important Thing Is To Ensure That Women Feel Included…’: Immigrant Women’S Experiences Of Integration And Gender Equality In Iceland During Times Of Crisis, Marya Rozanova-Smith, Embla Eir Oddsdóttir, Andrey N. Petrov

Faculty Publications

Enabling gender equality by empowering women to fully engage in modern society is fundamental for building resilient and sustainable communities. While Iceland is recognized as a global leader in gender equality, the experiences of various immigrant groups can differ considerably, especially during crises such as the COVID-19 pandemic and recovery. Given the rapid increase in the immigrant population in Iceland, it is crucial to gain a deeper understanding of the processes surrounding immigrant women’s integration strategies, with an emphasis on gender equality through the lens of intersectionality. The main objective of this qualitative study is to explore the gendered impacts …

Promoting Social Inclusion Through Sport: A Case Study Of Uyghur Youth In China, Hongxin Li, Yunchao Bai, John Nauright

Faculty Publications

This study examines the role of sports as a means of promoting social inclusion among Uyghur youth in China, drawing upon social inclusion theory. Utilizing a qualitative case study methodology, we explored the perspectives of Uyghur youth athletes to gain insight into the challenges they face in achieving social inclusion without feeling “othered” or excluded. Data analysis followed an inductive grounded theory approach, identifying first‐order concepts, second‐order themes, and aggregate theoretical dimensions. Our findings reveal that social inclusion of Uyghur youth through sports participation is influenced by multiple factors, including language barriers, stereotypes, cultural differences, high expectations, and government policies. …

Feature Typology And L2 Proficiency Matter: L3 Acquisition Of Portuguese, Mila Tasseva-Kurktchieva, Danielle Fahey

Faculty Publications

To determine the source of transfer in third language acquisition (L3A), we tested the effects of grammatical feature typology and L2 Spanish proficiency on the comprehension and production of grammatical [gender] and [number] in the early stages of L3A of Portuguese. We distinguish between the two features based on their participation in the lexical-conceptual structure of the lemma and its interaction with the morpho-syntactic derivation. L1 English speakers were tested on their knowledge of the features in both their L2 and their L3 through a grammaticality judgment task and an elicited production task. Results show that L3 learners transfer only …

Re-Framing The Master Narratives Of Learning Dis/Abilities Through An Emotion And Intersectional Lens, David I. Hernández-Saca

Faculty Publications

In this conceptual framework paper, I critically chronicle the historiography, policy, and scientific literatures of learning disabilities (ld) and provide a conceptual framework for reframing these as master narratives. I defined master narratives as the pre-existent sociocultural forms of interpretation. I interrogated the a) cultural-historical; b) the federal definition of ld within idea, c) the educational-professional academic and focused on, the d) social and emotional literature of ld. The master narratives from these literatures included: a) ld as a boy who struggles with reading, ld as a symbolic complex, and the legacy of the term "feebleminded", d) assumptions about learning, …

On Large Language Models In National Security Applications, William N. Caballero, Phillip R. Jenkins

Faculty Publications

The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security. This article explores the implications of LLM integration within national security contexts, analyzing their potential to revolutionize information processing, decision-making, and operational efficiency. Whereas LLMs offer substantial benefits, such as automating tasks and enhancing data analysis, they also pose significant risks, including hallucinations, data privacy concerns, and vulnerability to adversarial attacks. Through their coupling with decision-theoretic principles and Bayesian reasoning, LLMs can significantly improve decision-making processes within national security organizations. Namely, LLMs can facilitate the transition from …

Neurosymbolic Knowledge-Grounded Planning And Reasoning In Ai Systems, Amit Sheth, Vedant Khandelwal, Kaushik Roy, Vishal Pallagani, Megha Chakraborty

Faculty Publications

To build AI systems capable of decision-support assistance, such as AI-assisted healthcare, it is essential to develop user-centric decision-making processes that are robust, interpretable, and capable of effectively processing and acting on natural language interactions. Instruction-based prompting of large language models has demonstrated considerable success in supporting humans with information assistance tasks, including creative writing and content generation. However, recent studies reveal that language models exhibit limitations in performing complex reasoning and planning tasks, such as constructing compositional or hierarchical plans involving multiple reasoning steps. To address these challenges, we propose a neurosymbolic framework that integrates large language models with …

Mirrors For Pacific Islander Children: Teaching Resilience Through Culturally Adapted Bibliotherapy, Isabel Medina Hull, Elizabeth Cutrer, Paul H. Ricks, G. E. Kawika Allen, Kendra M. Hall-Kenyon, Lorena Seu, Kristopher J. Urbina, Melia Fonoimoana Garrett

Faculty Publications

Pacific Islander youth face disproportionately high rates of suicide and mental health challenges, yet culturally appropriate interventions remain scarce. This study investigated whether culturally adapted bibliotherapy could effectively promote resilience in American Samoan children by incorporating culturally relevant stories and coping strategies. Through collaboration with on-island Samoan cultural brokers, we developed and implemented culturally adapted stories and lessons designed to resonate with the experiences of children in American Samoa. The study employed a mixed-methods approach with 34 American Samoan children aged 5–13 years, using observations, adapted card sorts, and forced-choice procedures to measure responses to the intervention. The results demonstrated …

Predicting Diabetes Self-Management Education Engagement: Machine Learning Algorithms And Models, Xiangxiang Jiang, Gang Lv, Minghui Li, Jing Yuan, Z Kevin Lu

Faculty Publications

Introduction Diabetes self-management education (DSME) is endorsed by the American Diabetes Association (ADA) as an essential component of diabetes management. However, the utilization of DSME remains limited in the USA. This study aimed to investigate current DSME participation among the older population and to identify comprehensive factors of DSME engagement through employing various machine learning (ML) models based on a US nationally representative survey linked to claims data.

Research design and methods Data from the Medicare Current Beneficiary Survey were employed, and this study included data on US Medicare beneficiaries with diabetes from 2017 to 2019. Comprehensive variables following the …

Distinctions Among Astronomy Lecture Demonstrations, Thomas Hockey

Faculty Publications

No abstract provided.

Translanguaging: Old Wine In A New Bottle, Or New Wine?, Kristin Lems

Faculty Publications

The conversation about translanguaging is creating waves around the world, and Illinois is no exception. This column serves to remind the reader of some of the antecedents to this influential concept (“old wine”), predicts how this movement may affect your education setting (“new bottle”), and lays out a few of the aspects of translanguaging that may indeed be “new wine.”

Between Pedagogical Content Knowledge And Confidence: A Case Study Of Pronunciation Training And Teacher Preparation, Lena Barrantes-Elizondo, Joshua Gordon

Faculty Publications

While many teachers do not feel confident teaching pronunciation because of limited preparation in different areas, research has demonstrated positive effects of training in pronunciation pedagogy, as teachers who receive such training develop cognitions (i.e., knowledge, beliefs, thoughts, actions) that align with current tenets of pronunciation pedagogy. Drawing on this assertion, this paper reports the results of a qualitative case study with five pre-service teaching-English-to-speakers-of-other-languages (TESOL) teachers enrolled in a pedagogical pronunciation course as part of their teacher training program. The study’s main purpose was to understand the role of training in developing content knowledge (CK) and pedagogical content knowledge …

Causation’S Due Process Dimensions, Cassandra Burke Robertson, Charles W. "Rocky" Rhodes

Faculty Publications

For decades, courts have grappled with the tension between compensating victims of mass harms and maintaining fairness to defendants when causation is difficult to prove. This Article argues that the Supreme Court’s due process jurisprudence provides a relevant framework for navigating this tension. We contend that the Court over the last three decades has established a consistent due process approach in punitive damages and personal jurisdiction cases, which is rooted in antecedents tracing to the nineteenth century and relies on a nexus of interests that balances individual rights, state interests, and federalism concerns. This framework, we argue, has significant implications …

Cfl Learners’ Real-Time Processing Of Chinese Radicals: An Eye-Tracking Study, Yihsuan Wood, Jeffrey Jack Green, Ellen Knell, Yu Liu

Faculty Publications

This study used eye-tracking to investigate the real-time processing of phonetic and semantic radicals (components of Chinese characters that give clues to their pronunciation and meaning) by intermediate-level university Chinese foreign language (CFL) learners. Additionally, the study examined how knowledge and awareness of radicals affect real time character processing. Real-time radical processing involves identifying radicals and understanding their phonetic or semantic roles, while real-time character processing includes recognizing radicals and instantly comprehending entire characters’ meanings and pronunciations. This study’s first task focuses on radical processing, where CFL learners use radical knowledge to interpret multiple characters simultaneously. The second task extends …

Causation's Due Process Dimensions, Cassandra Burke Robertson, Charles W. "Rocky" Rhodes

Faculty Publications

For decades, courts have grappled with the tension between compensating victims of mass harms and maintaining fairness to defendants when causation is difficult to prove. This Article argues that the Supreme Court’s due process jurisprudence provides a relevant framework for navigating this tension. We contend that the Court over the last three decades has established a consistent Fourteenth Amendment due process approach in punitive damages and personal jurisdiction cases, which is rooted in antecedents tracing to the nineteenth century and relies on a nexus of interests that balances individual rights, state interests, and federalism concerns. This framework, we argue, has …

Testing The Effect Of Speech Separation On Vowel Formant Estimates, Joseph A. Stanley, Lisa Morgan Johnson, Earl Kjar Brown

Faculty Publications

While recent advances in sociophonetic data processing have made it possible to analyze large datasets and audio not originally intended for linguistic analysis, overlapping speech in recordings with multiple speakers continues to be an issue that results in lost data. We evaluate whether current source separation models produce audio that is clean enough to produce reliable measurements for sociophonetic analysis. We compare formant estimates from a pair of pristine recordings and merged-and-separated versions of those same recordings using the Libri2mix, Whamr16K, and WSJ02mix source separation models. Based on auditory inspection of the separated files, visualization of vowel formant estimates, and …