Digital Commons Network^™

Firm Disclosures And Retail Investor Behavior: The Role Of Information Type, Disagreement, And Social Networks, Hansol Yoon

Graduate Theses and Dissertations

This paper examines whether disclosure characteristics–specifically hard versus soft information–influence disagreement among retail investors, whether due to differences in information sets or interpretation, and how such disagreement subsequently affects trading volume. Using a sample of 85,050 earnings conference calls and StockTwits disagreement data from 2010 to 2021, I find that hard information (i.e., earnings figures) is negatively associated with investor disagreement, while soft information (i.e., forward-looking statements) is positively associated with it. Further analysis reveals that the disclosure characteristics impact trading activity only indirectly, through their influence on investor disagreement. Additionally, I examine the moderating role of social network centrality, …

Difficulty In American Dramatic Literature, David Turkel

Dissertations

Speaking broadly, this dissertation explores the marginalization of American drama within the field of literary studies. In attempting to account for this marginalization, theater scholars have tended to invoke the genre’s supposed lack of “difficulty,” meaning its failure to pose meaningful interpretive challenges to its readers. However, this dissertation takes an alternative view of the matter, contending that if American drama has indeed been marginalized, it is not because literary studies departments have regarded it as intrinsically “simpler” than other literary genres; in fact, it is theater scholars who have been more likely to read the genre as simple, or …

Focus: Evaluating Pre-Trained Vision-Language Models On Underspecification Reasoning, Kankan Zhou, Yibin Lai, Kyriakos Mouratidis, Jing Jiang

Research Collection School Of Computing and Information Systems

Humans possess a remarkable ability to interpret underspecified ambiguous statements by inferring their meanings from contexts such as visual inputs. This ability, however, may not be as developed in recent pre-trained visionlanguage models (VLMs). In this paper, we introduce a novel probing dataset called FOCUS to evaluate whether state-of-the-art VLMs have this ability. FOCUS consists of underspecified sentences paired with image contexts and carefully designed probing questions. Our experiments reveal that VLMs still fall short in handling underspecification even when visual inputs that can help resolve the ambiguities are available. To further support research in underspecification, FOCUS will be released …

Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances Mcq Generation And Distractor Quality, Yimiao Qiu, Yang Deng, Quanming Yao, Zhimeng Zhang, Zhiang Dong, Chang Yao, Jingyuan Chen

Research Collection School Of Computing and Information Systems

Generating high-quality Multiple Choice Questions (MCQs) remains challenging for educational tools due to the need for contextual relevance and plausible distractors. Existing methods still struggle with these dual requirements, leading to questions that lack depth and distractors that are either too obvious or irrelevant. In this paper, we propose BiFlow, a novel framework that integrates bidirectional reasoning perspectives: teacher reasoning generates contextually relevant questions and plausible distractors, while student reasoning evaluates question clarity and the misleading nature of the distractors. To further enhance reasoning, we introduce PathFinder, a mechanism that employs breadth-first search and Chainof-Thought (CoT) strategies to explore diverse …

Taclr: A Scalable And Efficient Retrieval-Based Method For Industrial Product Attribute Value Identification, Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Chen Li Yu, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen

Research Collection School Of Computing and Information Systems

Product Attribute Value Identification (PAVI) involves identifying attribute values from product profiles, a key task for improving product search, recommendation, and business analytics on e-commerce platforms. However, existing PAVI methods face critical challenges, such as inferring implicit values, handling outof-distribution (OOD) values, and producing normalized outputs. To address these limitations, we introduce Taxonomy-Aware Contrastive Learning Retrieval (TACLR), the first retrieval-based method for PAVI. TACLR formulates PAVI as an information retrieval task by encoding product profiles and candidate values into embeddings and retrieving values based on their similarity. It leverages contrastive training with taxonomy-aware hard negative sampling and employs adaptive inference …

Consistent Client Simulation For Motivational Interviewing-Based Counseling, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Nicholas Gabriel Lim, Cameron Shi Ern Tan, Phey Ling Kit, Jenny Xiuhui Giam, John Pinto, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Simulating human clients in mental health counseling is crucial for training and evaluating counselors (both human or simulated) in a scalable manner. Nevertheless, past research on client simulation did not focus on complex conversation tasks such as mental health counseling. In these tasks, the challenge is to ensure that the client’s actions (i.e., interactions with the counselor) are consistent with with its stipulated profiles and negative behavior settings. In this paper, we propose a novel framework that supports consistent client simulation for mental health counseling. Our framework tracks the mental state of a simulated client, controls its state transitions, and …

Debate, Reflect, And Distill: Multi-Agent Feedback With Tree-Structured Preference Optimization For Efficient Language Model Enhancement, Xiaofeng Zhou, Heyan Huang, Lizi Liao

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) continue to set new standards in knowledge-intensive and complex reasoning tasks, yet their high computational demands limit widespread adoption. While distilling large models into smaller ones offers a sustainable solution, current techniques—such as static knowledge distillation, resource-intensive reinforcement learning from human feedback, or limited self-reflection—struggle to yield substantial and lasting performance gains. In this paper, we present a novel Debate and Reflect (D&R) framework that orchestrates multi-turn debates between smaller models and stronger teacher models, eliciting actionable feedback (e.g., error analysis, corrective strategies) to guide student models. Further, we introduce Tree-structured Direct Preference Optimization (T-DPO) to …

Memotune: A Measure And Moment-Driven Fine-Tuning Framework For Quantized Large Language Models, Yun Zhang, Xue Geng, Lizi Liao, Jintong Sun, Minghe Yu, Ge Yu

Research Collection School Of Computing and Information Systems

Quantizing large language models (LLMs) is essential for reducing memory and computational costs in natural language processing. Existing methods combine quantization with parameter-efficient fine-tuning but often fail to meet practical performance requirements. This paper introduces MeMoTune, a novel fine-tuning framework for quantized LLMs. By employing a measure and moment approach within a low-rank approximation framework in probability measure space, MeMoTune optimizes the objective function for superior fine-tuning results. The update process is further refined through scaled gradient, enhancing convergence efficiency and noise robustness. Experiments on tasks like text generation, summarization, and understanding show MeMoTune significantly outperforms state-of-the-art methods, e.g. fine-tuning …

Advancing Molecular Graph-Text Pre-Training Via Fine-Grained Alignment, Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi

Research Collection School Of Computing and Information Systems

Understanding molecular structure and related knowledge is crucialfor scientific research. Recent studies integrate molecular graphswith their textual descriptions to enhance molecular representationlearning. However, they focus on the whole molecular graph andneglect frequently occurring subgraphs, known as motifs, whichare essential for determining molecular properties. Without suchfine-grained knowledge, these models struggle to generalize to un-seen molecules and tasks that require motif-level insights. To bridgethis gap, we propose FineMolTex, a novel Fine-grained Moleculargraph-Text pre-training framework to jointly learn coarse-grainedmolecule-level knowledge and fine-grained motif-level knowledge.Specifically, FineMolTex consists of two pre-training tasks: a con-trastive alignment task for coarse-grained matching and a maskedmulti-modal modeling task for …

Cultivating Identity, Workforce Readiness, And Heutagogical Lifelong Learning: The Case For Student-Trained Ai Agents In Postsecondary Education, James Hutson

Faculty Scholarship

The accelerated integration of human-centered artificial intelligence and human-computer intelligent interaction (HCII) into postsecondary education has inaugurated a paradigm shift in how learners develop cognitive, socio emotional, and professional competencies. This article argues that requiring students to iteratively build and refine custom AI agents—digital “clones” or GPTs trained on their evolving beliefs, knowledge, values, and interests addresses three pressing challenges facing contemporary higher education. First, the process of self-modeling via agent training compels deep self-reflection, fostering socio-economic development and identity formation during the critical neurodevelopmental period that extends into the mid-twenties. Second, as industry trends increasingly prioritize the creation of …

A Study Of Urban High School Teachers' Perceptions Of Multicultural Education, Clifford D. Alexander

Electronic Theses and Dissertations

This dissertation investigated urban high school teachers’ perceptions of multicultural education and how those perceptions related to instructional practices. Guided by culturally responsive pedagogy, the study addressed the persistent achievement gap among minority students and the limited integration of multicultural education in U.S. public schools. The purpose of this study was to evaluate teachers’ perceptions of multicultural education and examine their connection to teaching practices and cultural background. A quantitative cross-sectional survey design was employed with a sample of 331 urban high school teachers. Findings indicated that the majority of participants held positive views toward multicultural education, recognizing its role …

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 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.

Using Equivalence-Based Instruction And Behavioral Skills Training To Teach Social Skills, Alexander Orzeck

Theses

Social skills are an integral part of human life, so it stands to reason that teaching methodologies should be developed to instruct people in this complex topic. One method to teach social skills has been behavioral skills training, in which the four-step sequence of vocal and written instruction, modeling, roleplay, and feedback exposes learners to the social concepts until a mastery criterion is reached. Skills relevant to socialization have also been taught with equivalence-based instruction, in which the concept of stimulus equivalence is employed to generate novel relations between stimuli for the purpose of teaching some skill. No instance was …

College Leaders’ Perspectives Of Diversity At A Community College System In Texas: A Phenomenological Study Of Validation, Xandelyn Wright Washington

All Dissertations

The United States has undergone dramatic changes in student demographics over the last 40 years. Nowhere is this reflected more than in the field of education (Center for Public Education, 2012; Fabina et al., 2023). Disaggregation of student demographics is a useful and common method for measuring student outcomes, and in the United States, non-majority students consistently have lower student outcomes (Gay, 2013; Howard, 2010; Ocay et al., 2023).

Ma and Baum (2016) and McNair et al. (2015) stated that the role of community colleges is pivotal in postsecondary education. As such, college leaders and administrators have focused attention on …

The Relationship Between Inclusive Classroom Practices, Stem Identity And Stem Interest In Latinx Secondary Students, Laura Corral Carrillo

Open Access Theses & Dissertations

Latinx students remain underrepresented in science, technology, engineering, and mathematics (STEM) fields despite representing a growing portion of the U.S. school population. Research suggests that inclusive classroom practices (ICPs) that affirm students' cultural and linguistic identities can play a critical role in shaping STEM identity and fostering interest in STEM pathways. This mixed-methods study investigated the relationship between ICPs, Latinx high school students' STEM identity development, and their interest in pursuing STEM careers in the Texas borderlands. The study employed a convergent design, integrating quantitative survey data from 52 students and qualitative interview data from four secondary science teachers. Quantitative …

Crossing Borders: Analyzing The Factors Contributing To Healthcare And Reproductive Preferences Among Residents Of The Texas-Mexico Border, Yamaris Michelle Cordero

Open Access Theses & Dissertations

Crossing Borders: Analyzing the Factors Contributing to Healthcare and Reproductive Preferences Among Residents of the Texas-Mexico Border explores the complexities of healthcare access and utilization among border residents, particularly in the context of reproductive health. Through qualitative analysis of focus group discussions with promotoras - community health workers - this study identifies key factors influencing cross-border healthcare decisions, including economic barriers, cultural influences, and perceptions of quality. The findings reveal that high costs and limited insurance coverage in the U.S. drive many individuals to seek affordable healthcare and medications in Mexico, where pharmacies provide immediate, low-cost services without the need …

Associations Between Mental Health Outcomes And Discrimination And Victimization Among Adult Lgbtq+ Community Members Or Guardians Of Lgbtq+ Children, 2023-2024, Perla Gisel Mercado

Open Access Theses & Dissertations

BACKGROUND: LGBTQ youth face unique challenges and experiences that can significantly impact their mental well-being. Discrimination, stigma, prejudice, and struggle for self-acceptance contribute to increased rates of mental health issues within this population. Almost one in 8 people, or 970 million individuals worldwide, were living with a mental disorder. PURPOSE: Assess the relationship between discrimination and victimization and mental health outcomes among sexual and gender minorities (SGMs) in the Paso del Norte Region. METHODS: Data was collected through a cross-sectional needs assessment survey among adult LGBTQ+ community members or parents/guardians of LGBTQ+ children/youth living in New Mexico or Texas in …

Mitigating Ai Bias With Prompt Augmentation, Verónica C. Gonzales

Faculty Scholarship

Large-language-model (“LLM”) outputs are inevitably shaped by assumptions, biases, and attitudes rooted in racism and other systemic inequities embedded in the civil-law tradition. This Equity-in-Justice CLE focuses on helping civil legal service providers recognize and work to eliminate biases in generative AI outputs through equity-centered prompt augmentation and engineering. These small, cost-free interventions re-orient LLMs assistance toward fairness, cultural competency, and client-centered outcomes. Participants leave with an action plan for embedding anti-bias safeguards in everyday research, drafting, and client communication tasks.

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 …

Small Number And The Old Game, Veselin Jungic

Journal of Humanistic Mathematics

Through a conversation between Small Number and his Auntie, this article describes the Throwing Game, a Haida tradition recorded by John Swanton in 1905. Several mathematical concepts that may be associated to the game are mentioned.

Examples Of Mathematics Personified, Amenda N. Chow

Journal of Humanistic Mathematics

Synesthesia is a cognitive condition in which multiply senses are stimulated at once. There are different types of synesthesia. For example, in a documented study [9], a person with synesthesia when considering the number three associates it as a male and a jerk. This association is persistent, always the same and automatic. Presented here are a variety of examples about mathematics in personified form. These examples focus on using personification as a way to better understand and appreciate mathematics.

Introducing The Linear Poem, Cristian Ramirez Rodriguez

Journal of Humanistic Mathematics

In this article I introduce the linear poem, a poetic form I developed in fall 2023 as a pedagogical tool for high-school students. The linear poem is a poem which represents an integer valued linear function, treating the line numbers as inputs and the linguistic units in a line as outputs. Two examples of linear poems are given as well as the steps taken to produce them. By interpreting poetic forms as integer-valued functions as is done in this article, interdisciplinary pedagogy can be achieved, allowing educators and students to express mathematical ideas such as slope-intercept form in a creative …

Exploring Commutativity In A Hindi Language Classroom, Kumar Gandharv Mishra

Journal of Humanistic Mathematics

Commutativity is an important concept in mathematics. However, not much emphasis is given to it in the elementary or secondary school curriculum, as there is a lack of interesting noncommutative examples at this level. Since most examples of binary operations provided deal with numbers, commutativity appears trivial. In this article we offer an interesting example of noncommutativity that is familiar to Indian school children from a different context. Students in India study a chapter based on the joining of vowels in Hindi grammar. This process is analogous to producing commutative as well as noncommutative operations. When we bring in mathematical …

The Gnostic Religion; The Message Of The Alien God And The Beginnings Of Christianity, Hans Jonas

Hannah Arendt Marginalia - All

Boston, Beacon Press [1958]

Call #: BT1390 .J62

Contains marginalia, underlining, marginal lining and is inscribed by author

PDF Information: 70 pages – 5 MB