Digital Commons Network^™

Xagentmaint: Explainable Agentic Systems For Predictive Maintenance In Industrial Digital Twin Environments, Shikhar Patel, Sankeerth Adisha

Artificial Super Intelligence (ASI) Conference

Predictive maintenance in manufacturing demands more than accurate failure forecasting. Maintenance engineers require transparent and auditable decision rationale to act confidently. Industrial digital twin environments produce rich and continuous streams of sensor data. Existing AI models typically surface only numerical anomaly scores without contextual explanation. This paper presents XAgentMaint, an explainable agentic AI framework for predictive maintenance. The system integrates a Retrieval-Augmented Generation knowledge base with a ReAct reasoning agent. An XGBoost failure classifier serves as the core prediction component throughout the pipeline. All three components are evaluated on the NASA CMAPSS turbofan degradation dataset across all four sub-datasets (FD001-FD004), …

Restorative Literacy: Designing Human-Centered Learning In Technological Times, Camille O'Quin

Research Days

As educational environments increasingly integrate artificial intelligence and automated instructional tools, important questions emerge about what must remain distinctly human in teaching and learning. This presentation introduces Beyond the Margins (BTM): Restorative Literacy for Rising Voices, an interdisciplinary initiative that reimagines literacy instruction through relational, justice-centered practice in technological times.   Grounded in the Restorative Literacy framework, BTM integrates structured literacy instruction, narrative identity development, restorative dialogue, and interdisciplinary collaboration across speech-language pathology, social work, counseling, psychology, and special education. Implemented with justice-involved adolescents, the model positions reading and writing not only as academic skills but as pathways to voice, belonging, …

Filming Modernity And Islam In Colonial Egypt, Eid Mohamed

Journal of Religion & Film

This is a book review of Heba Arafa Abdelfattah, Filming Modernity and Islam in Colonial Egypt (Edinburgh: Edinburgh University Press, 2023).

Qbiasnet: Quantum-Enhanced Variational Classifiers For Ethical Bias Detection In Multimodal Ai Models, Nikunj Doshi, Kavach Shah, Shikhar Patel

Artificial Super Intelligence (ASI) Conference

Bias in multimodal AI systems that jointly process image and text inputs creates measurable risks in sensitive deployment contexts including public health, financial services, and automated hiring. Classical detection approaches face a fundamental architectural limitation in that they cannot efficiently model intersectional bias. Intersectional bias emerges from the nonlinear interaction of multiple protected attributes simultaneously across visual and linguistic modalities. This paper introduces QBiasNet, a hybrid quantum-classical system that encodes cross-modal CLIP embeddings into an 8-qubit Variational Quantum Circuit (VQC) implemented in PennyLane. By exploiting quantum entanglement, the VQC learns high-order feature correlations that linear probes and shallow neural networks …

Agripestdatabase-V1.0: A Structured Insect Dataset For Training Agricultural Large Language Model, Yagizhan Bilal Durak, Ashley Morgan-Olvera, Ahsan Ul Islam, Iftekhar Ibne Basith, Shahidul Islam, Syed Hasib Akhter Faruqui

Artificial Super Intelligence (ASI) Conference

Agricultural pest management increasingly relies on timely and accurate access to expert knowledge, yet high quality labeled data and continuous expert support remain limited, particularly for farmers operating in rural regions with unstable or no internet connectivity. At the same time, the rapid growth of artificial intelligence (AI) and large language models (LLMs) has created new opportunities to deliver practical decision support tools directly to end users in agriculture through compact and deployable systems. This work addresses (i) generating a structured insect information dataset to be used for LLM training, and (ii) adapting a lightweight LLM model (<= 7B) by fine tuning it for possible future edge device uses in agricultural pest management. The textual data collection was done by reviewing and collecting information from available pest databases and published manuscripts on nine selected pest species. These structured reports were then reviewed and validated by a domain expert. From these reports, we constructed question-answer (Q/A) pairs to support model training and evaluation. A LoRA-based fine-tuning approach was applied to multiple lightweight LLMs and evaluated. Initial evaluation shows that Mistral 7B achieves an 88.9% pass rate on the domain-specific Q/A task, substantially outperforming Qwen 2.5 7B (63.9%), and LLaMA 3.1 8B (58.7%). Notably, Mistral demonstrates higher semantic alignment (embedding similarity: 0.865) despite lower lexical overlap (BLEU: 0.097), indicating that semantic understanding and robust reasoning are more predictive of task success than surface-level conformity to reference text in specialized domains. By combining expert organized data, well structured Q/A pairs, semantic quality control, and efficient model adaptation, this work contributes towards providing support for farmer facing agricultural decision support tools and demonstrates the feasibility of deploying compact, high-performing language models for practical field-level pest management guidance.

“I Ignored Western Media And Went Down The Rabbithole No One Warns You About”: An Exoticization Genre On Youtube, Dixon D. Dayton

CISLA Senior Integrative Projects

No abstract provided.

Culturally Responsive Care For Jewish Patients And Colleagues In Speech-Language Pathology, Irene Brettman, Victoria Littman

Bridgewater Review

Speech-Language Pathology (SLP) is an ever evolving profession in the healthcare and educational landscape. Typically, individuals who have not required SLP services may be unaware of the practice’s specific scope. In a medical setting, among other urgent communication needs, an SLP often provides critical care for patients who are at risk for dysphagia. Dysphagia is a medical condition that interrupts normal swallow function when eating, drinking, and/or taking medication, and can result in negative consequences such as weight loss, malnutrition, eating disorders, and respiratory decompensation. Food is deeply personal and embedded across worldwide culture. For many people, eating and drinking …

Kenyon Alumni Magazine - Spring/Summer 2026

Kenyon College Alumni Bulletin

No abstract provided.

Generative Ai As Artificial Audience, Chrystina Scoglietti

Distinguished Student Scholarship Collection

This paper examines generative artificial intelligence as a distinct communicative development that reshapes rhetorical practice and composition pedagogy. Situating generative AI within a historical framework of communicative revolutions—including primary orality, literacy, and secondary (digital) orality—the paper argues that generative AI constitutes a new form of literacy rather than a mere extension of digital media. By producing near‑human language and creative output in direct response to user input, generative AI functions not only as a compositional tool but also as an artificial audience to which rhetoric must be tailored. The analysis explores how this shift challenges traditional assumptions about audience, persuasion, …

A Topic Modeling Analysis Of Stigma Dimensions, Social, And Related Behavioral Circumstances In Clinical Notes Among Patients With Hiv, Ziyi Chen, Yiyang Liu, Mattia Prosperi, Krishna Vaddiparti, Robert L Cook, Jiang Bian, Yi Guo, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To characterize stigma dimensions, social, and related behavioral circumstances in people living with HIV (PLWHs) seeking care, using natural language processing methods applied to a large collection of electronic health record (EHR) clinical notes from a large integrated health system in the southeast United States.

Methods: We identified a cohort of PLWHs from the University of Florida (UF) Health Integrated Data Repository and performed topic modeling analysis using Latent Dirichlet Allocation (LDA) to uncover stigma-related dimensions and related social and behavioral contexts. Domain experts created a seed list of HIV-related stigma keywords, then applied a snowball strategy to iteratively …

Cultural Competence Training For Peer Tutors And Mentors, Grace Nunamaker, Nicole Brun-Mercer

Boise State University Publications and Presentations

Culture informs our beliefs, behaviors, and sense of identity. It shapes our values, thought processes, view of the world and the people within it. Being aware of our own cultures, of cultural differences, and of ways to navigate those differences is increasingly recognized as a vital skill to develop for both personal and professional purposes. Cultural competence is particularly important when working in education because how we think and behave is so inherently linked to how we teach and learn. Many peer mentors and tutors are finding themselves in an instructional position for the first time; they have limited experience …

The Effectiveness Of A Story-Based Counseling Program In Enhancing Spiritual Intelligence Skills Among First-Grade Students In The Sultanate Of Oman, Maryam Said Sulaiman Ai Siyabi, Amina Benkouider Samad, Sherif Al-Saudi

Journal of Educational and Psychological Studies

This study aimed to examine the effectiveness of a story-based counseling program in developing spiritual intelligence skills among first-grade students in the Sultanate of Oman. The researchers adopted a quasi-experimental approach and applied tools including a spiritual intelligence scale and a specially designed counseling program to achieve the study’s objectives. The study sample consisted of 48 male and female students from Ibra Basic Education School, randomly divided into two groups: an experimental group (22 students) who received the counseling program consisting of 12 sessions over six weeks, and a control group (26 students) who did not receive any intervention. The …

Unnoticed Witnesses Of History: First-Hand Accounts Of Ukrainian Women In South Carolina During Russia's Invasion Of Ukraine, Madeline R. Fyock

Senior Theses

Language and other cultural symbols have become widely contested in post-Soviet Ukraine, especially after Russian President Vladimir Putin’s full-scale invasion in February 2022. The conflict prompted many in Ukraine and its diaspora to re-negotiate and affirm Ukrainian national identity through language, traditions, and culture. The ways in which national identity is signaled in Ukraine has been widely studied in the wake of 2022, but less research has investigated how similar trends are occurring in migratory contexts, where conflict and displacement play crucial roles in identity construction. This study examines the ways that Ukrainian immigrant women in South Carolina signal their …

The Middle-Class Rip-Off'? Subsiding Culture In Contemporary Ireland, Connell Vaughan Dr

Irish Communication Review

In the last few years (roughly since the start of the Covid-19 pandemic) there has been a noted increase in state-led cultural funding in Ireland. Key examples include the raise in the financial allocation to the Arts Council, the introduction of the Basic Income for the Arts scheme, and increased sports capital funding. With reference to the official communication documents of these cases (so-called ‘grey literature’) and deploying the classic 1982 episode of the British sitcom Yes, Minister, ‘The Middle-Class Rip-Off,’ which pitches sports funding against support for the arts, as a satirical lens, this paper reflects on the contemporary …

Bias In The Wires: Epistemic Harms Of Linguistic Homogenization In Ai-Asisted Writing, Sarah Smith

2026 Awards for Excellence in Student Research and Creative Activity - Documents & Media

Hundreds of millions of users now rely on AI-generated writing for ideation, drafting, and revision. As models make linguistic decisions about their writing, they create preferences that extend to users, reshaping our capacity to articulate who we are in ways that are just beginning to be understood. By drawing on research in computer science, psychology, ethics, and sociolinguistics, this paper traces how LLMs acquire and transmit linguistic bias. Users internalize AI preferences, subtly homogenizing linguistic decisions in ways that impact communities unevenly. This constitutes a form of algorithmic epistemic injustice, which harms writers through deflated credibility and the loss of …

Predictors Of Filipino Life Satisfaction Using The Revised Filipino Satisfaction With Life Scale, Razel Bacuetes Milo, Patricia Calero, Maria Luisa Ramira, Kathleen Soon, Maria Fontimayor, Cynthia D. Connelly

School of Nursing and Health Science: Faculty Scholarship

Background: 

Mental health stigma serves as a significant barrier to seeking help, often leading to maladaptive coping strategies. Given these complexities, it is essential to validate the Satisfaction With Life Scale Revised (SWLS-R) within the Filipino context to assess its psychometric reliability, cultural relevance, and suitability for evaluating well-being and mental health outcomes among Filipinos.

Objective: 

The aims of this study were to evaluate the psychometric properties of the SWLS-R and describe the relationships and significant predictors of life satisfaction among Filipinos living in the United States.

Methods: 

A purposive sample of Filipino adults, fluent in both English and Filipino, …

English Diphthongs For English Learners: The Same, But Different, Kristin Lems

Faculty Publications

In any language, diphthongs need to be reckoned with, but teaching diphthongs to learners of English as a new language requires greater insight and special skills. In this column, we take a look at English diphthongs, why they matter, and how they might be best handled when teaching English language learners.

Alfred Russel Wallace Notes 40. A Comprehensive Bibliography Of Books And Booklets About Alfred Russel Wallace, George Beccaloni, Jasper H. Pol, Charles H. Smith Editor

Faculty/Staff Personal Papers

This bibliography presents the most comprehensive listing to date of books and booklets on Alfred Russel Wallace’s life and work, in all languages and editions, while excluding AI-generated works and most print-on-demand titles. It is based on a list compiled in 2023, which was expanded through searches of online catalogues and other resources. Analysis of the 160 works reveals a marked increase in publications since the late twentieth century, substantial linguistic diversity, and the growing use of manuscript sources in scholarly studies, particularly following the online availability of Wallace’s correspondence via EPSILON.

Framing Artificial Intelligence In Higher Education: A Narrative Policy Analysis Study Of Higher Education Institutions With Particular Reference To Missouri, Taylor D. Corlee

Missouri Policy Journal

This study examines how higher education institutions narratively frame students’ use of artificial intelligence through policy-related documents, focusing on how these stories shape AI policy and how they can guide Missouri-based research. Using the Narrative Policy Framework and directed content analysis, 59 documents from 12 US public universities were coded for characters, plots, and morals and analyzed with descriptive statistics, Pearson correlations, and difference-of-means tests. Findings reveal that institutions frame AI policy through narratives that cast faculty as guides, students as both capable and vulnerable, and AI as both tools and threat. For Missouri, recognizing how narratives shape AI governance …

From “I” To “We”: A Computational Analysis Of Gen Z, Collective Identity, And Generational Discourse On Reddit, Andre Mccloud

IPHS 484: Senior Seminar

Throughout time, generational differences have been studied primarily through surveys and self-report measures. These methods capture what we think but tell us little about how generations communicate and express themselves. I conduct a different method of analysis in this study. Instead of asking generations what they think, I analyze how they naturally communicate. This is done by analyzing 4,972 Reddit posts across generation-specific subreddits: r/Over60 (Boomer), r/GenX, r/Millennials, and r/GenZ. No keywords are used in the collection, allowing for natural collection of topics occurring in the subreddits. The data is analyzed using five approaches: LDA topic modeling, VADER sentiment analysis, …

What Nlp Tells Us About The Future Of Viral Journalism: A Case Study On Buzzfeed’S Strategic Pivot (2016–2025), Gwen Eisenbeis

IPHS 484: Senior Seminar

This project examines the evolution of digital journalism through a longitudinal NLP analysis of BuzzFeed headlines from 2012 to 2025. Using an NLP pipeline, the study applied cosine similarity, sentiment analysis, frequency modeling, and topic modeling to measure changes in language and focus over time. The findings reveal a decline in the listicle-heavy style that defined BuzzFeed’s early success and a rise in shopping and affiliate-driven headlines built around consumer recommendations and curated internet reactions. In 2016, positive language and numbered list formats (“17,” “19,” “best”) dominated engagement, while in 2025, terms such as “products” became the most prominent. Topic …

Situating Ai Within The History Of Technological Adaptation In Law, Karin Mika

SLU Law Journal Online

This Article argues that the current anxiety surrounding generative artificial intelligence (AI) in the legal academy is the latest iteration of a recurring historical cycle. By examining the introduction of other technological enhancements in the law, the author demonstrates that each technological shift was initially met with skepticism regarding the potential loss of critical thinking skills. However, history shows that these tools ultimately pushed the profession away from a focus on mechanical form and toward a deeper engagement with substantive analysis and strategic advocacy. Rather than posing an existential threat, AI represents a logical next step that can automate the …

Empowering Early Childhood Leaders: A Strength-Based And Ecological Approach To Leadership Development, Dora Sanders

PhD in Education

Professional development models for early childhood (EC) leaders are often generic and deficit-focused, overlooking their diverse strengths, contexts, and experiences. This study addressed that gap by exploring how EC leaders identify and leverage their strengths to enhance leadership effectiveness and how professional development can be differentiated to meet their unique needs. Using a qualitative phenomenological design, eight EC leaders representing varied educational backgrounds and community contexts were engaged. Semi-structured interviews captured their lived experiences, which were analyzed thematically through the lens of the strengths-ecological leadership framework designed by the researcher that integrated individualized professional development, strengths-based leadership, and ecological systems. …

Policy Design, And The Repeal Of Ghana’S Emissions Levy Act: A Multiple Streams Framework Analysis, Anthony Amotoe-Bondzie

Collected Student Papers

Ghana’s 2023 Emissions Levy Act (Act 1112) imposed charges on large industrial emitters and vehicles, intending to internalize pollution costs and raise government revenue. This study applies to Kingdon’s Multiple Streams Framework (MSF) to explain the policy’s rapid repeal. Drawing on legislative texts, official reports, and media accounts, it categorizes influences into the problem (rising living costs), policy (design features), and politics (stakeholder mobilization) streams. Key findings reveal that the levy’s mixed design, a per-ton CO₂ fee on industry combined with a flat vehicle ownership tax, undermined its climate rationale and appeared more as a revenue grab. Implementation gaps exacerbated …

Celebration Of Scholarship And Creativity Magazine, 2024-2025, University Of Texas At Tyler

Celebration of Scholarship and Creativity Magazine

This annual review is compiled to promote scholarship and document a record of the published and creative works of The University of Texas at Tyler faculty for academic year 2024-2025. Information was compiled from Faculty180©, the university’s platform for faculty activity reporting.

A Medical Home: How Pediatrics Challenges Systemic Barriers Through Relationships And Time., Doris Serrano , ‘26

Senior Theses, Projects, and Awards

No abstract provided.

Measuring Legal Importance: From Case Citations To Linguistic Shifts, Bao Kham Chau

Northwestern Journal of Technology and Intellectual Property

This Article introduces a novel empirical method for measuring judicial importance beyond traditional metrics, such as citation counts, which often undervalue decisions that shape legal practice without generating extensive case law. Drawing on techniques from computational text analysis, it proposes linguistic shifts—systematic changes in the length, language, and structure of legal documents—as an alternative proxy for a judicial opinion’s legal significance.

The Article applies this method to a case study involving Blackboard, Inc. v. Desire2Learn, Inc., 574 F.3d 1371 (Fed. Cir. 2009), a Federal Circuit decision that has received relatively little attention under conventional citation-based measures. By programmatically analyzing …

Feeling Like A Woman: Interoception And The Objectified Body, Tomi-Ann Roberts, James W. Pennebaker, Benita Jackson

Psychology: Faculty Publications

Much of the interoception literature assumes that people can accurately detect their heart rate, stomach contractility, muscle tension, and other biological cues. This is not true. Instead, interoception is an active integrative psychological process where the feeling of one’s internal state emerges from physiological signals, contextual cues, and the social and cultural experiences of living in a body. Thinking of interoception this way shifts the focus from measuring accuracy at detecting biological signaling to studying lived experience. One such experience is the widespread objectification of women’s bodies. Living in a body that is chronically evaluated creates a particular form of …

Spanglish: Un Viaje Al Pasado Observado Por El Presente, Nyleen Benavides, Raquel Christopherson, Rose Jouini, Kennedy Kuchta

Posters - 2026

Since its founding in 1852, St. Mary’s University has evolved from a small institution into a diverse and inclusive community that has worked to overcome discriminatory barriers. Originally founded to serve Mexican students in underserved communities, the university has reflected San Antonio’s Cultural diversity since its earliest years. Its founder, Reverend John Marie Odin, envisioned supporting a “melting pot” of cultures within the city (Flores, 2019). While the university has grown significantly in enrollment, Hispanic culture and traditions have remained a central part of its identity. Today, with over two thousand students enrolled, St. Mary’s University continues to not only …

Slurry-As-A-Service: A Modest Proposal On Scalable Pluralistic Alignment For Nutrient Optimization, Rachel Hong, Yael Eiger, Jevan Hutson, Os Keyes, William Agnew

Articles

Pluralistic alignment has emerged as a promising approach for ensuring that large language models (LLMs) faithfully represent the diversity, nuance, and conflict inherent in human values. In this work, we study a high-stakes deployment context—mulching—where automated systems transform selected individuals into nutrientrich slurry for the dual purposes of food security and aesthetic population management. Building on recent pluralistic alignment frameworks, we introduce ValueMulch™, a reproducible training, deployment, and certification pipeline for aligning mulching models (MMs) to a wide range of community norms. Through a real-world testbed spanning 32 communities, we show that ValueMulch™ improves distributional agreement with community mulching preferences …