Digital Commons Network^™

Language Barriers In Accessing Healthcare Services For Refugees In The United States, Sadaf Khuram

Communication & Theatre Arts Theses

Accessing healthcare is a pivotal aspect of refugees' integration into their host countries and significantly impacts their long-term health outcomes. The literature emphasizes the critical role of language proficiency in overcoming communication barriers within healthcare settings. This thesis, however, challenges the assumption that addressing language barriers alone is universally sufficient. It argues that the importance of language solutions is context-dependent, varying with the design of healthcare systems and the diverse needs and backgrounds of refugees. In some cases, focusing primarily on language barriers can divert resources from other critical areas, particularly when healthcare facilities have limited capacities or when services …

Service With A Smile Or Salesperson Mirroring? Understanding The Flow Of Emotional Contagion In Sales Encounters, Vinh Quoc Trong Luong

Theses and Dissertations in Business Administration

This study examines the directionality of emotional contagion in sales interactions, addressing a critical gap in understanding whether emotions flow primarily from the salesperson to the customer, from the customer to the salesperson, or bidirectionally. While prior research emphasizes customer-driven emotional flow or bidirectional alignment, this study challenges these assumptions by employing categorical Cross-Recurrence Quantification Analysis (CRQA) to assess temporal emotional synchronization in sales dialogues. Leveraging automated sentiment analysis and multi-agent AI evaluation for performance metrics, the research analyzes 166 sales interactions to quantify emotional influence dynamics. Results reveal that salespeople predominantly lead emotional exchanges, exhibiting stronger and more stable …

Editor’S Note: Toward A Transgressive Communication Pedagogy: Reflections And Directions In/For Dark Times, Lionnell Smith

Journal of Communication Pedagogy

This essay introduces a special section marking the 30th anniversary of bell hooks’s Teaching to Transgress, exploring its relevance within the current sociopolitical climate marked by intensified assaults on diversity, equity, and inclusion (DEI) in education. Grounded in hooks’s vision of education as a practice of freedom, this essay proposes a framework of transgressive communication pedagogy— an approach that champions radical love, political agency, and open dialogue to resist hegemonic educational structures. The featured contributions in this section examine transgressive practices across diverse contexts: community-based intercultural teaching, intersectional identity work, support for Black students in minority-serving institutions, decolonial approaches to …

Transgressing Linguistic Supremacy: Reimagining Public Speaking Through Culturally Sustaining Pedagogy, Sergio Fernando Juárez

Journal of Communication Pedagogy

This essay reimagines public speaking education through a culturally sustaining and transgressive lens that challenges dominant norms of language, professionalism, and communication competence. It critiques the ways in which public speaking courses often reinforce linguistic supremacy by privileging standardized English and marginalizing multilingual and culturally grounded speech practices. Drawing on concepts such as translanguaging, Culturally Sustaining Pedagogy (CSP), and transgressive pedagogies, the author calls for a shift in pedagogy that centers students’ lived experiences, community-rooted knowledge, and linguistic norms. Rather than asking students to conform to hegemonic standards, this approach empowers them to speak on their own terms, resist assimilationist …

Journal Of Communication Pedagogy, Complete Volume, 2025

Journal of Communication Pedagogy

No abstract provided.

Considering The Concept Of Law In The Legal Singularity, Matthew Tse

Canadian Journal of Law and Technology

This review article engages with the idea of a ‘‘legal singularity”, which has been developed by Abdi Aidid and Benjamin Alarie in their book, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better.

The legal singularity describes a legal system in the future that harnesses algorithmic computation to facilitate a ‘‘stable and complete legal order, capable of addressing and resolving practically all types of legal uncertainty in real time and on demand”. Aidid and Alarie believe algorithmic computation will achieve this promise in an interdependent dual process. On one hand, algorithms will structure the law with conceptual standardization. …

Funds Of Knowledge And The Transition To School: A Scoping Review, Amelia Ruscoe, Leanne Lavina, Lennie Barblett, Fiona Boylan

Research outputs 2022 to 2026

Children's funds of knowledge (FoK) were recognised in the initial iteration of the Australian Early Years Learning Framework (EYLF) in 2009, the mandated framework for educator decision-making, and their significance was further emphasised in EYLF 2.0 in 2022. However, a unified understanding of children as knowledgeable individuals and how to effectively incorporate their diverse knowledges into early childhood education is still evolving. Recent evidence highlights the link between engaging with children's FoK and supporting successful transitions to formal schooling. Given that childhood is experienced differently across cultures and contexts, achieving consensus on the nature and value of FoK remains a …

Phase 1 Clinical Trial Of ¡Iniciando! La Adultez: A Culturally Tailored Intervention For Transitioning Latino Young Adults With Autism, Antonio F. Pagán, Ana Esparza, Ana C. Ramirez, Miriam Ortiz, Linda Hernandez, Mary Beth Morgan, Geohanna Noel, Alejandro L. Pagán, Jada Salas, Cecilia Montiel-Nava

Psychological Science Faculty Publications

This Phase 1 clinical trial evaluated ¡Iniciando! la Adultez, a culturally adapted intervention for Latino autistic young adults (n = 56) and their parents (n = 63). Young adults showed significant post-treatment improvements on measures of social responsiveness (SRS-2), adaptive behavior (ABAS-3), executive functioning (BRIEF-A), quality of life (WHOQOL-BREF), transition readiness (TRS-A), coping self-efficacy (CSES), and emotion regulation (DERS-SF). Parents reported significant improvements in their perceptions of their child’s social responsiveness, adaptive behavior, and executive functioning, as well as increased transition readiness ratings. Notably, parents evinced a significant decrease in acculturative stress (RASI) and depressive symptoms (PHQ-9), however, …

Genwriter: Reducing Gender Cues In Biographies Through Text Rewriting, Shweta Soundararajan, Sarah Jane Delany

Conference papers

Gendered language is the use of words that indicate an individual’s gender. Though useful in certain context, it can reinforce gender stereotypes and introduce bias, particularly in machine learning models used for tasks like occupation classification. When textual content such as biographies contains gender cues, it can influence model predictions, leading to unfair outcomes such as reduced hiring opportunities for women. To address this issue, we propose GenWriter, an approach that integrates Case-Based Reasoning (CBR) with Large Language Models (LLMs) to rewrite biographies in a way that obfuscates gender while preserving semantic content. We evaluate GenWriter by measuring gender bias …

Echollm: Extracting Echocardiogram Entities With Light-Weight, Open-Source Large Language Models, Jonathan Chi, Yazan Rouphail, Ethan Hillis, Ningning Ma, An Nguyen, Jane Wang, Mackenzie Hofford, Aditi Gupta, Patrick G Lyons, Adam Wilcox, Albert M Lai, Philip R O Payne, Marin H Kollef, Caitlin Dreisbach, Andrew P Michelson

2020-Current year OA Pubs

OBJECTIVES: Large language models (LLMs) have demonstrated high levels of performance in clinical information extraction compared to rule-based systems and traditional machine-learning approaches, offering scalability, contextualization, and easier deployment. However, most studies rely on proprietary models with privacy concerns and high costs, limiting accessibility. We aim to evaluate 14 publicly available open-source LLMs for extracting clinically relevant findings from free-text echocardiogram reports and examine the feasibility of their implementation in information extraction workflows.

MATERIALS AND METHODS: We used 14 open-source LLM models to extract clinically relevant entities from echocardiogram reports (

RESULTS: In aggregate, Gemma2:9b-instruct had the highest precision, recall, …

Skilled Migrants' Experiences Of Othering, Alterity And Language Policing, Uma Jogulu, Maggie Mcalinden, Melissa A. Parris, Juliana Mutum

Research outputs 2022 to 2026

The Australian Permanent Migration Program and related settlement services have been critical to Australia's success as a stable, democratic and culturally diverse nation. However, emerging research has revealed that this success may come with a high price for as many as one in four skilled migrants who find themselves employed beneath their level of education, expertise and experience, which we define as underemployment. We designed a study that sought to understand the settlement experiences of 36 Asia-Pacific-skilled migrants working as managers. Incorporating Spivak's concepts of subalternity, othering and alterity as a theoretical framework, our analysis uncovered how migrant identity intersected …

Systems Statistical Engineering – Hierarchical Fuzzy Constraint Propagation, Hengameh Fakhravar

Engineering Management & Systems Engineering Theses & Dissertations

Driven by the growing need in the 21st century for integrating rigorous statistical analysis into engineering research, there is a movement to develop an integrated statistical engineering science within statistics and quality communities (Hoerl & Snee, 2010; Anderson-Cook et al., 2012). Systems Statistical Engineering research seeks to integrate the Causal Bayesian hierarchical modeling (Pearl, 2009) and cybernetic control theory within Beer’s Viable System Model (1972, 1979, 1985) and the Complex Systems Governance framework (Keating, 2014; Keating & Katina, 2015, 2016) to produce multivariate systemic models for robust dynamic systems mission performance. Cotter & Quigley (2018) set forth the Bayesian systemic …

How To Enable Effective Cooperation Between Humans And Nlp Models: A Survey Of Principles, Formalizations, And Beyond, Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Huang

Research Collection School Of Computing and Information Systems

With the advancement of large language models (LLMs), intelligent models have evolved from mere tools to autonomous agents with their own goals and strategies for cooperating with humans. This evolution has birthed a novel paradigm in NLP, i.e., human-model cooperation, that has yielded remarkable progress in numerous NLP tasks in recent years. In this paper, we take the first step to present a thorough review of human-model cooperation, exploring its principles, formalizations, and open challenges. In particular, we introduce a new taxonomy that provides a unified perspective to summarize existing approaches. Also, we discuss potential frontier areas and their corresponding …

Fact-Audit: An Adaptive Multi-Agent Framework For Dynamic Fact-Checking Evaluation Of Large Language Models, Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have significantly advanced the fact-checking studies. However, existing automated fact-checking evaluation methods rely on static datasets and classification metrics, which fail to automatically evaluate the justification production and uncover the nuanced limitations of LLMs in fact-checking. In this work, we introduce FACT-AUDIT, an agent-driven framework that adaptively and dynamically assesses LLMs’ fact-checking capabilities. Leveraging importance sampling principles and multi-agent collaboration, FACT-AUDIT generates adaptive and scalable datasets, performs iterative model-centric evaluations, and updates assessments based on model-specific responses. By incorporating justification production alongside verdict prediction, this framework provides a comprehensive and evolving audit of LLMs’ factual reasoning …

Foundations Of Quality: A Toolkit For Professional Growth In Infant/Toddler Classrooms, Amber A. Hulin

Masters Projects

This project aims to tackle the issue of inconsistencies in the educational experiences provided by many early childhood programs. This project focuses primarily on the infant/toddler age group. Chapter 1 identifies a key contributing factor in these inconsistencies: a shortage of high-quality teachers due to lack of infant/toddler focused content in teacher preparation programs and further professional development. Chapter 2 reviews the literature including what a high-quality educator is and how a high-quality educator impacts a child’s development. It also identifies the various teacher preparation programs and highlights the lack of infant/toddler content in professional development. Chapter 3 presents a …

A Relational Forestsoft Set Approach To Modeling And Optimizing Teaching Quality In University English Translation Programs Amid Digital Transformation, Jianguo Liu, Ruohan Liu

Neutrosophic Sets and Systems

No abstract provided.

A Plithogenic Neutrosophic Hypersoft Set-Based Framework With Comparative Analysis For Measuring Teaching Practice Effectiveness In University-Level Vocal Music Instruction, Huiqiu Du

Neutrosophic Sets and Systems

No abstract provided.

Adaptive Neutrosophic Integration And Trust Modeling: A New Framework For Evaluating Mobile Communication Network Migration Perception, Ke Li

Neutrosophic Sets and Systems

No abstract provided.

A Robust Approach To Possibility Single-Valued Neutrosophic Dombi-Weighted Aggregation Operators For Multiple Attribute Decision-Making, Yousef Al-Qudah, Ayman. A. Hazaymeh, Faisal Al-Sharqi, Mamika Ujianita Romdhini, Sarah Jawad Shoja

Neutrosophic Sets and Systems

No abstract provided.

A New Hybrid Deep Learning Method With Neutrosophic Sets For Social Media Sentiment Analysis Of The Covid-19 Vaccine,, Tasneem Abdelrahman, Mohamed El-Rashidy, Mohamed Marie

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Offset Logic And Statistical Framework For Analyzing International Chinese Communication In Integrated Media Environments, Bing Li

Neutrosophic Sets and Systems

No abstract provided.

Optimizing Electric Vehicle Selection Using Neutrosophic Superhypersoft Set Theory, F. Smarandache, P. Gayathri, E. Karuppusamy, S. Krishnaprakash, S. Gomathi

Neutrosophic Sets and Systems

No abstract provided.

Decision On Insurance Policy Selection By Weighted Correlation Approach On Neutrosophic Fuzziness Through Topsis, S. Golui, B. S. Mahapatra, M B. Bera, M. K. Mondal, G. S. Mahapatra

Neutrosophic Sets and Systems

No abstract provided.

Individual Noise-Tolerance Profiles And Neural Signal-To-Noise Ratio: Insights Into Predicting Speech-In-Noise Performance And Noise-Reduction Outcomes, Subong Kim, Susan Arzac, Natalie Dokic, Jenn Donnelly, Nicole Genser, Kristen Nortwich, Alexis Rooney

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Background/Objectives: Individuals with similar hearing sensitivity exhibit varying levels of tolerance to background noise, a trait tied to unique individual characteristics that affect their responsiveness to noise reduction (NR) processing in hearing aids. The present study aimed to capture such individual characteristics by employing electrophysiological measures and subjective noise-tolerance profiles, and both were analyzed in relation to speech-in-noise performance and NR outcomes. Methods: From a sample of 42 participants with normal hearing, the neural signal-to-noise ratio (SNR)—a cortical index comparing the amplitude ratio between auditory evoked responses to target speech onset versus noise onset—was calculated, and individual noise-tolerance profiles were …

Enhancing Non-Visual Interaction With Online User-Generated Content, Mohan Krishna Sunkara

Computer Science Theses & Dissertations

The Web has become the dominant medium for our everyday activities, including communication, business, e-commerce, news, and entertainment. Consequently, the online world is experiencing an explosion of User-Generated Content (UGC), particularly on social media platforms and online review systems. To facilitate convenient interaction with UGC, web platforms have adopted various presentation strategies that enable users to efficiently browse and contribute to the UGC. However, these user interfaces are primarily designed for sighted individuals, so they do little to assist blind users who rely predominantly on audio-based screen reader assistive technology. The extant efforts to improve web interaction for blind users …

Designing A User-Centered Bias System To Enhance Media Literacy And Factual Accuracy, Anjali Majan

Theses and Dissertations

In an era of rapid news consumption, readers often struggle to detect bias and misinformation. This study examined whether interface design can support more critical engagement with news. We developed a progressive disclosure interface that encouraged users to reflect as they read by gradually revealing bias and factual cues. Participants were assigned to either Progressive Disclosure or Ground News. The experiment involved two phases. In the intervention phase, participants used an interface with support features. In the assessment phase, they completed tasks without the tool. We evaluated their performance using five measures: bias recognition accuracy, bias shift, factuality judgment, overlap …

Multi-Theoretic Perspective Of Backer Decision-Making In Crowdfunding: Interplay Of Backer, Founder And Ai, Maliha Alam

Theses and Dissertations

Crowdfunding has become a transformative mechanism for financing innovation, connecting creators directly with backers while bypassing traditional funding barriers. Despite its rapid global growth, only about 33.7% of campaigns succeed, largely due to ineffective communication of value propositions and lack of backer engagement. This dissertation investigates the complex interplay between project founders, backers, and emerging AI technologies to understand the factors influencing donation intention and to enhance crowdfunding success prediction.

Adopting the behavioral decision-making framework, I draw on multiple theoretical perspectives- signaling theory, the dual-process model of persuasion, and the cognitive-affective trust framework to examine founder- backer interactions. Using a …

Don't Settle For Less: Incorporating Postcolonial And Settler Colonial Perspectives Into The Sociological Canon, Eli Xavier Ornelas

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

For decades now, post-/de-/settler-/ and anticolonial scholars have advanced the argument that sociology has largely failed to incorporate critical insights from theories of empire into the sociological canon. In this dissertation, I argue that introduction to sociology textbooks offer an important vantage point from which to assess conventional sociological knowledge as textbooks are often thought to be “reflections of the discipline.” I analyze the social theory and race chapters of 21 of the most often used introduction to sociology textbooks in the United States to investigate two chapters where insights from theories of empire would be present if indeed incorporated: …

“Self-Compassion Has To Be The Heartbeat Of How I Move Through Life”: A Mixed Methods Study Of Family Caregiver Emotional Well-Being, Sarah O. Rasby

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Often referred to as “hidden patients,” family caregivers endure numerous physical, emotional, psychological, and social hardships due to the demands of caregiving, which often results in their own needs going unmet. With the projected 61.3 million of the baby boomer generation entering the long-term care phase by 2029 along with a mass shortage of professional caregivers post-pandemic, more and more family members are expected to fill in for the role of care without sufficient access to support services (Pollard & Scommegna, 2014; Smith & Chang, 2016). An exploratory, mixed-methods study using a three-group intervention design was utilized to investigate the …

Visual Analog Of Temporal Envelope Benefits Speech Processing In Cochlear Implant Users: A Pilot Functional Near-Infrared Spectroscopy Study On The Associations Between Audiovisual Benefit, Listening Environment, And Peripheral Neural Health, Zi Gao, Yi Yuan, Christopher R. Mueller, Ross A. Aiello, Yingying Wang, Shuman He

Faculty Research, Scholarly, and Creative Activity

Objectives: This study compared the benefit of visual analog of temporal envelope for speech processing across listening environments in postlingually deafened adult cochlear implant users. Associations between cortical activities and peripheral neural health were explored. Design: Speech perception was measured using Harvard/IEEE sentences in quiet and noise with a visually presented sphere whose size was synchronized with the temporal envelope of the sentences. Cortical activities were recorded concurrently using functional near-infrared spectroscopy. Audiovisual benefit was evaluated using sentence scores, activation additivity, and functional connectivity. Peripheral neural health was measured using electrically evoked compound action potentials. Results: Behavioral results showed the …