Digital Commons Network^™

Structural Silence: When Ai Infrastructure Fails Speakers Of Underrepresented Languages, Avijit Roy, Proma Roy

Publications and Research

Artificial intelligence tools for education and language support are increasingly framed as scalable responses to access gaps in under-resourced communities. Yet the infrastructure underlying these tools—training corpora, tokenization schemes, evaluation benchmarks, and deployment architectures—encodes a set of assumptions that systematically disadvantages speakers of underrepresented languages before a single model is trained. This paper examines those assumptions through the lens of Bengali, one of the world’s most widely spoken languages with roughly 285 million speakers (Ethnologue, 2025; International Communication and Leadership School, 2026), and the structural barriers that emerge when attempting to build AI-assisted educational tools for Bengali-speaking learners in low-connectivity …

Sounding W. B. Yeats’S “Cuchulain Comforted”, David Sergeant

School of Law, Humanities and Social Sciences

No abstract provided.

Stacked From One: Multi-Scale Self-Injection For Context Window Extension, Wei Han, Pan Zhou, Shuicheng Yan

Research Collection School Of Computing and Information Systems

The limited context window of contemporary large language models (LLMs) remains a primary bottleneck for their broader application across diverse domains. Although continual pre-training on long-context data offers a straightforward solution, it incurs prohibitive data acquisition and computational costs. To address this challenge, we propose SHAREDLLM, a novel framework based on multi-grained context compression and query-aware information acquisition. SHAREDLLM comprises two stacked short-context LLMs: a lower model serving as a compressor and an upper model acting as a decoder. The lower model compresses long inputs into compact, multi-grained representations, which are then forwarded to the upper model for context-aware processing. …

Where Did It Go Wrong? Attributing Undesirable Llm Behaviors Via Representation Gradient Tracing, Zhe Li, Wei Zhao, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their deployment is frequently undermined by undesirable behaviors such as generating harmful content, factual inaccuracies, and societal biases. Diagnosing the root causes of these failures poses a critical challenge for AI safety. Existing attribution methods, particularly those based on parameter gradients, often fall short due to prohibitive noisy signals and computational complexity. In this work, we introduce a novel and efficient framework that diagnoses a range of undesirable LLM behaviors by analyzing representation and its gradients, which operates directly in the model's activation space to provide a semantically meaningful signal linking …

Propaganda Ai: An Analysis Of Semantic Divergence In Large Language Models, Nay Myat Min, Long H. Pham, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common high-level cues (e.g., ideologies, public figures) elicit unusually uniform, stance-like responses that evade token-trigger audits. This behavior falls in a blind spot of current safety evaluations, yet carries major societal stakes, as such concept cues can steer content exposure at scale. We formalize this phenomenon and present RAVEN (Response Anomaly Vigilance), a black-box audit that flags cases where a model is simultaneously highly certain and atypical among peers by coupling semantic entropy over paraphrastic samples with cross-model disagreement. In a controlled LoRA fine-tuning study, we implant a concept-conditioned stance using …

Llmqua: Practical Backdoor Injection On Large Language Model Quantization, Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang

Research Collection School Of Computing and Information Systems

Quantization is widely used to enable local deployment of large language models (LLMs) on resource-constrained devices. Recent work (e.g., QuRA) shows quantization can be exploited via rounding manipulation to implant backdoors. However, such an attack has been evaluated only on small models and does not directly apply to LLMs due to three key constraints: (1) limited poisoning data from small, task-agnostic calibration sets; (2) layer-wise quantization restricting adversarial access to global representations; and (3) lack of gradient access in quantization pipelines, blocking gradient-based attacks.We propose LLMQuA, a practical quantization-phase backdoor attack tailored to the LLM setting. LLMQuA (i) injects backdoors …

Reasoning On Time-Series For Financial Technical Analysis, Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

While Large Language Models have been used to produce interpretable stock forecasts, they mainly focus on analyzing textual reports but not historical price data, also known as Technical Analysis. This task is challenging as it switches between domains: the stock price inputs and outputs lie in the time-series domain, while the reasoning step should be in natural language. In this work, we introduce Verbal Technical Analysis (VTA), a novel framework that combine verbal and latent reasoning to produce stock time-series forecasts that are both accurate and interpretable. To reason over time-series, we convert stock price data into textual annotations and …

Preliminaries & Editor's Introduction: In The Work Of Tension, Dinah Tapia Roma

Akda: The Asian Journal of Literature, Culture, Performance

No abstract provided.

Exploring The Physical Education Experiences Of Blind And Visually Impaired Hispanic Multilingual Learners In Integrated Settings, Sheyla G. Martinez-Rivera

Human Movement Studies & Special Education Theses & Dissertations

Although students with visual impairments (VI) are increasingly placed in integrated physical education (PE) classes (U.S. Department of Education, 2023), the embodied experiences of those who also identify as multilingual learners (MLs) and as Hispanics remain largely unexplored. This retrospective qualitative study examined how these students experience integrated PE during their K-12 education, focusing on how language and disability identities shaped their participation. Participants included seven Hispanic students, all MLs, and identified under the Individuals with Disabilities Education Act (IDEA) as blind or visually impaired. At the time of the study, participants were between 18 and 33 years old and …

Artificial Intelligence For Better Inclusive Higher Education: A Study Of A Private University In Cairo, Shereen Ismail

Theses and Dissertations

This study explores how artificial intelligence (AI) tools relate to accessibility for visually impaired students in Egyptian higher education, focusing on University Y in Cairo. Grounded in the Social Model of Disability and Universal Design for Learning, it examines visually impaired students’ lived experiences of AI mediated access and the institutional conditions that shape these experiences. A qualitative phenomenological design was used, with semi-structured interviews conducted with visually impaired undergraduate students and key staff involved in assistive technology, teaching and learning, and student wellbeing; data were analyzed thematically. The findings indicate that participants experience AI tools (e.g., chatbots, transcription and …

Artificial Intelligence And Chatgpt In Libraries: A Bibliometric Analysis Of Social Science Research (2022–2026), Shrikant W. Ramteke, Yogesh B. Daphal

Library Philosophy and Practice (e-journal)

Purpose

This paper will map the world of research on artificial intelligence and chatbots in libraries systematically by analysing the trends in publications, intellectual organization, pattern of collaboration, and the way the Social Science literature has evolved with the theme of artificial intelligence and chatbots published between 2022 and 2026.

Design/methodology/approach

We have conducted a thorough bibliometric search where we have considered 7,660 peer-reviewed journal articles found in Scopus database. The collection was compiled according to the PRISMA requirements, and later, both performance-based metrics and science mapping techniques were applied.The whole process of visualisation and analysis was carried out through …

Academic Libraries As A Platform For Indigenous And Agricultural Knowledge Sharing In Rural Communities: A Conceptual And Review-Based Approach, Jenifer Yesmin Laskar, Pradip Kumar Singha

Library Philosophy and Practice (e-journal)

Agriculture and traditional knowledge are the roots of rural economy, particularly in biologically sensitive areas with diverse cultures. Preserving traditional knowledge in terms of local farming practices is an activity that is generally associated with cultural practices in these areas. The potentiality of academic libraries in terms of bridging roles for dissemination, curation, and sharing of Indigenous knowledge as well as Agriculture knowledge in the respective areas remains largely overlooked. It is an attempt to explore, indicate, and address through the theoretical approaches based upon an understanding of library science concepts, Indigenous studies, community development, sustainability studies, the roles of …

Made In Ireland: A Postcolonial Analysis Of Irish Cultural Revival And Its Impact On Ireland’S International Relations, Emma Boyd

Political Science Student Papers and Posters

This thesis examines the impact of how British colonial rule led to the decline of Irish cultural components, such as Gaelic (Gaeilge), and how postcolonial revival efforts have shaped Ireland’s modern identity and its use of soft power in international relations. Drawing on mobilization and postcolonial theories, this paper defines key concepts, mobilization, remobilization, and postcolonial identity, to provide an analytical foundation. The analysis explores how colonial policies eroded Irish culture and language, intensified by the Great Famine, and how the Irish Diaspora serves as a global network for remobilizing Irish identity abroad. The ongoing conflicts in Northern Ireland will …

The Impact Of Social-Emotional Learning On Student Academic Achievement And Outcomes, Tanya L. Fields

Dissertations

This mixed-methods study examined the impact of the Second Step social-emotional learning (SEL) program on student achievement and outcomes in Forest Elementary School District (FESD). Guided by Patton’s utilization-focused evaluation framework, the research addressed five questions: (1) How has Second Step implementation during SY23–24 and SY24–25 impacted behavioral referrals in K–5 students? (2) How has it influenced NWEA, ELA, and Math grades in SY23–24 and SY24–25? (3) To what extent do teachers and leaders feel prepared to implement SEL and the Second Step program? (4) How effective is the training and support provided by school leaders? and (5) What additional …

Beyond Interventions: District Design Of Multi-Tiered Systems Of Support As An Equity Framework To Address Inequitable Student Outcomes, Joyce Debrah

Dissertations

Although multi-tiered systems of support (MTSS) is often examined through the lens of school-level intervention systems and the fidelity of tiered academic and behavioral supports, this study approached MTSS from a district leadership and systems design perspective. Rather than evaluating the implementation of specific interventions within individual schools, the study investigated how district-level leadership structures, governance practices, and implementation infrastructure shape the capacity to operationalize MTSS as a coherent framework for advancing equitable student outcomes across a portfolio of schools. By examining district systems, structures, and decision-making processes, the study positioned the district as the primary unit of change and …

The Vital Role Of Communication In Elementary Education: Strategies For Bridging Language, Cultural, And Diversity Gaps To Strengthen Family-School Partnerships, Daniel H. Rack

Dissertations

This study examines how communication systems in elementary schools influence equitable family engagement within a linguistically and culturally diverse, Title I context. The purpose of this research is to evaluate how communication practices support or limit access, participation, and partnership between schools and families. The overarching research question guiding this study is: How do current communication systems support or constrain equitable family engagement? A convergent mixed-methods design was utilized to collect and analyze both quantitative and qualitative data. Data sources included educator surveys, family surveys, and focus group interviews, allowing for a comprehensive understanding of communication practices from multiple stakeholder …

Advanced Artificial Intelligence Vs Simpler Models For 1-Year Death Prediction Among Patients Receiving Hemodialysis, Karthikeyan K, Jennifer E Flythe, Patrick H Pun, Wolfgang C Winkelmayer, David Carlson

Faculty, Staff and Students Publications

Objectives: We evaluated the data requirement for modern AI tools to outperform simpler models in predicting short-term mortality in over 500 000 patients with hemodialysis-dependent kidney failure.

Materials and methods: We compared logistic regression, boosting, and transformers using increasingly complex feature sets (from last-visit data to full trajectories). Performance was measured using the area under the ROC curve (AUC-ROC) and the Precision-Recall curve (AUC-PR) across training data sizes ranging from 500 to 490 197 samples.

Results: Using features with temporal information is beneficial across all models. On the full dataset, Transformers (AUC-ROC = 0.8568) and boosting (AUC-ROC = 0.8598) perform …

Novel Variants Identified In Families With Snx27 -Related Neurodevelopmental Disorder, Aiding In Characterizing Its Genotypic And Phenotypic Spectrum, Tayyaba Shan, Abrar Hussain, Anushree Acharya, Mulazim Hussain, Yumei Li, Hafiz Muhammad Jafar Hussain, Kiran Afshan, Suzanne M Leal, Rui Chen, Asif Mir, Isabelle Schrauwen, Sabika Firasat

Faculty, Staff and Students Publications

Background:

Sorting Nexin 27 (SNX27), a key regulator of synaptic receptor trafficking and endosomal recycling, has been implicated in maintaining synaptic homeostasis and cognitive function. To date, variants in SNX27 have been reported in a small number of patients across three publications with severe neurodevelopmental phenotypes. However, the genetic and functional landscape of SNX27-related disorders remains poorly understood, and further evidence is needed to confirm its association with disease and to better delineate the associated phenotype.

Methods and Results:

Two unrelated Pakistani families with a total of five affected individuals segregating a neurodevelopmental disorder were investigated via exome …

Natural Language Generation In Healthcare: A Review Of Methods And Applications, Mengxian Lyu, Xiaohan Li, Ziyi Chen, Jinqian Pan, Cheng Peng, Sankalp Talankar, Yonghui Wu

Faculty, Staff and Student Publications

Objective: This study presents a systematic review of natural language generation (NLG) methods and applications in the medical domain, providing quantitative and qualitative analyses to answer four key research questions regarding methods, evaluation, applications, and challenges of NLG in healthcare.

Methods: We searched PubMed, ACM Digital Library, Web of Science, Science Direct, Scopus, Embase, and ACL Anthology for NLG-related studies in healthcare from 2018 to 2024. Out of 3,988 research articles, 113 met the inclusion criteria and were analyzed across data modality, model architecture, evaluation metrics, and application domain.

Results and conclusion: NLG in healthcare has grown substantially, with annual …

The Varying Strength Of Parental Rights, Mark Strasser

Missouri Law Review

The United States Supreme Court has recognized that parental rights implicate fundamental interests and that statutes adversely affecting those rights require close examination. However, the Court has been inconsistent in both its analysis and results when deciding which statutes burdening parental rights nonetheless pass constitutional muster. The Court’s ambivalence and lack of clarity have made parental rights jurisprudence confused and confusing, as illustrated by the dissensus among the state supreme courts regarding which visitation statutes are constitutional. Yet, this jurisprudential quagmire cannot be blamed on one particular decision, as if a single clarification or modification could resolve the problem. Rather, …

Bridging Mission And Execution: Integrating Participatory Design In Early-Phase Mission Engineering For Stakeholder Alignment And Mission Clarity, Rafi Soule

Engineering Management & Systems Engineering Theses & Dissertations

This dissertation develops and evaluates an integration-centered approach to early-phase Mission Engineering that improves mission clarity under ambiguity. Stakeholder interpretations diverge, and interoperability constraints are not surfaced early. These conditions reduce mission clarity and weaken mission-to-system mapping readiness. The dissertation proposes an integration-centered approach that strengthens early mission framing through two complementary mechanisms: (1) a participatory design-inspired, artifact-first workflow that surfaces and repairs interpretation divergence, and (2) closed-corpus, RAG-enabled retrieval that grounds mission-to-system mapping in traceable evidence. The study was organized around a construct spine linking shared understanding, stakeholder alignment, and interoperability feasibility to mission clarity. A three phase mixed-methods …

Ai Interpretability In Healthcare Communication, Ananya Jeyappragash

Dartmouth College Master’s Theses

Artificial intelligence has increasingly been adopted in healthcare, largely for specialized tasks and under significant human oversight. The use of large black-box systems raises important concerns about transparency in high-stakes environments such as clinical decision-making. Clinical communication is fundamentally human-centered, and failures in judgment can have serious consequences for patient care. Overestimating the reasoning abilities of large language models may lead to undue trust in fabricated or “hallucinated” outputs, while rejecting AI-assisted tools altogether may preserve inefficient workflows and contribute to missed or delayed diagnoses. These concerns reflect a broader tradeoff between accuracy and interpretability: although more complex models may …

Price Endings Of Online And Offline Retailers: Round And Just-Below Pricing, Kwanho Suk, Gaeun Kim, Dongwon Lee, Xuanting Jin

Asia Marketing Journal

This study investigates and compares price-ending strategies employed by online and offline retailers. Analyzing 210,456 prices from retailers in US, South Korea, and China reveals significant differences in price-ending between online and offline retail formats. Online retailers exhibit a lower propensity to utilize round prices (e.g., ending in 0) and just-below prices (e.g., ending in 9) than offline retailers. This research discusses potential explanations for these observed discrepancies, focusing on the distinct price-setting environments and consumer purchasing behaviors of online and offline retail.

Internal Public Relations Influence On Organizational Citizenship Behaviors: Integrating Social Identity Perspectives In Organizational Contexts, Daewook Kim

Asia Marketing Journal

This study examined how internal public relations encourages employees to participate in organizational citizenship behaviors. Using a national survey of employees (N = 339), we tested a conceptual model that proposed linkages among dialogic internal communication, organizational social capital, communal relationships, and organizational citizenship behaviors. The results suggest dialogic internal communication can enhance organizational social capital and encourage internal publics to participate in organizational citizenship behaviors. Additionally, organizational social capital mediated the effects of dialogic internal communication on communal relationships and organizational citizenship behaviors. The findings highlight a critical connection between public relations and social identity perspectives within organizational …

Does Ai-Driven Empathy Work In Healthcare Marketing? The Impact Of Cognitive And Affective Empathy In Chatbots And The Moderating Role Of Illness Type, Jee Won Kim, Yeonsoo Kim, Jino Chung

Asia Marketing Journal

Recognizing the growing potential of AI-generated chatbots in healthcare and healthcare marketing, this study investigates how different types of chatbot-expressed empathy influence user responses in stigmatized versus non-stigmatized health contexts. Perceived authenticity is introduced as a key mediator. Drawing on Mind Perception Theory, a 3 (empathy: none, cognitive, affective) × 2 (illness type: stigmatized, non-stigmatized) online experiment was conducted. The findings show that affective empathy reduced perceived authenticity, which subsequently decreased user satisfaction, perceived understanding, reuse intention, and follow intention. These indirect effects varied by illness type: in stigmatized contexts, non-empathetic communication was viewed most favorably, whereas in non-stigmatized contexts, …

Reimagining Instructional Planning: Balancing Real-Life Experiences With Ai Instantaneity, Shaanii-Grace Robinson-Ritzdorf

Essays in Education

Instructional planning challenges teachers to balance creativity, time, and application of real-life experiences. Artificial intelligence (AI) offers rapid lesson ideas, personalized resources, and adaptive tools, yet uncritical use risks generic, disengaging instruction. This essay was based on the background study that examined elementary teachers’ integration of real-life experiences in science and math lessons in northwestern New Mexico through lesson plans, professional development materials, and interviews. Results revealed teacher-centered, procedural approaches with limited connection to students’ lived experiences, while personally designed lessons allowed greater flexibility for meaningful examples. Thoughtfully guided AI can bridge this gap, supporting scenario-based learning, differentiation, and student …

Temporalities Of Translation In Ursula K. Le Guin's The Dispossessed, Rumi Coller-Takahashi

Living in Languages

Ursula K. Le Guin’s 1974 novel, The Dispossessed: An Ambiguous Utopia features two fictional worlds, Urras and Anarres, with distinct political structures and languages. Anarres is created by the revolutionaries who departed capitalistic Urras to create a new anarchist community, and its language was invented so as to have no word for “property” or “class.” However, the artificial distinction in the languages do not hold up the binary of possession and non-possession in these worlds, as the word “possession” permeates interpersonal relationships even on Anarres. To replace the binary approach of the revolution, the novel proposes an alternative mode of …

Translation As Divination: Translating Naomi Sím’S Emerald Orchid Love Letter, Will Buckingham

Living in Languages

Naomi Sím’s Taiwanese (Tâi-gí) language short story, "Emerald Orchid Love Letter" (Chhùi-Lân ê Chêng-Phoe 翠蘭ê情批) engages deeply with the questions of politics, language and religion in contemporary Taiwan. The plot of the story pivots around the central question of what language the gods speak. In the story, the narrator—caught between Taiwanese, Mandarin and English languages—finds a strange growth on her inside lip. The cure turns out to involve the sea goddess Má-chó͘, and a renewed commitment on the part of the narrator to the Taiwanese language. In this paper, I read the process of translating Sím’s story from Taiwanese to …

Feather And Freedom: A Fabled Land In The Mind, Yuan Tao

Living in Languages

Set in the deceptively tranquil Honest Town, “The Feather of Sister Zandan” is narrated from the perspective of Zaan, a younger brother, revealing his complicated feelings toward his sister. Written in a fable-like style infused with magical realism, the story explores the tension between restraint and longing, culminating in an abrupt and poignant ending that evokes the emotional sting of an O. Henry-style twist. The short story won the Gemini Prize for Short Fiction of China in 2021. According to the award citation, Lan Du’s writing demonstrates emotional depth, dazzling imagination, and striking narrative tension. Her storytelling defies conventional …

Introduction, Rumi Coller-Takahashi

Living in Languages

No abstract provided.