Digital Commons Network^™

Exploring An Ai Chatbot To Close School Counselor Information Gaps: A Design Science Approach, Kalee Crandall

Masters Theses & Doctoral Dissertations

Chatbots are an emerging technology that stimulate conversations with humans often using generative artificial intelligence (AI). This technology is becoming increasingly relevant, particularly in the field in school counseling. For school counselors facing growing demands, utilizing data to demonstrate the effectiveness of their services on student outcomes is crucial to secure recent position increases. Historically, school counselors have struggled with the expectation to use data and utilize available technology. AI chatbots have the potential to help school counselors, a traditionally non-technical audience, efficiently evaluate data, create goals, and explore potential interventions to accomplish those goals.

To support school counselors in …

The Sacred Dimensions Of The Bri's Infrastructural Commons, Orlando Woods, David A. Palmer

Research Collection College of Integrative Studies

Whilst the idea of infrastructure has animated scholarship for the past twenty years at least, there remains a need for more expansive understandings of what infrastructure is, and what it can be. The speed, scale and material disruptiveness with which many of the infrastructural megaprojects that constitute China’s Belt and Road Initiative (BRI) have been developed both underpin and validate this need. Whilst the effects of the BRI are both manifold and diffuse, all of them expose situations of infrastructural complexity. Rather than considering the BRI simply as the imposition of new material infrastructures on a landscape, we posit the …

Just What Are You Trying To Prove? The Relevance Of History To Constitutional Theory And Practice, Randy E. Barnett

Georgetown Law Faculty Publications and Other Works

No abstract provided.

Full Issue 16(4) 2024

Journal of Comparative & International Higher Education

No abstract provided.

Probing Effects Of Contextual Bias On Number Magnitude Estimation, Xuehao Du, Ping Ji, Wei Qin, Lei Wang, Yunshi Lan

Research Collection School Of Computing and Information Systems

The semantic understanding of numbers requires association with context. However, powerful neural networks overfit spurious correlations between context and numbers in training corpus can lead to the occurrence of contextual bias, which may affect the network's accurate estimation of number magnitude when making inferences in real-world data. To investigate the resilience of current methodologies against contextual bias, we introduce a novel out-of- distribution (OOD) numerical question-answering (QA) dataset that features specific correlations between context and numbers in the training data, which are not present in the OOD test data. We evaluate the robustness of different numerical encoding and decoding methods …

Aligning Human And Computational Coherence Evaluations, Jia Peng Lim, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Automated coherence metrics constitute an efficient and popular way to evaluate topic models. Previous work presents a mixed picture of their presumed correlation with human judgment. This work proposes a novel sampling approach to mining topic representations at a large scale while seeking to mitigate bias from sampling, enabling the investigation of widely used automated coherence metrics via large corpora. Additionally, this article proposes a novel user study design, an amalgamation of different proxy tasks, to derive a finer insight into the human decision-making processes. This design subsumes the purpose of simple rating and outlier-detection user studies. Similar to the …

Genixer : Empowering Multimodal Large Language Models As A Powerful Data Generator, Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou

Research Collection School Of Computing and Information Systems

Multimodal Large Language Models (MLLMs) demonstrate exceptional problem-solving capabilities, but few research studies aim to gauge the ability to generate visual instruction tuning data. This paper proposes to explore the potential of empowering MLLMs to generate data independently without relying on GPT-4. We introduce Genixer, a comprehensive data generation pipeline consisting of four key steps: (i) instruction data collection, (ii) instruction template design, (iii) empowering MLLMs, and (iv) data generation and filtering. Additionally, we outline two modes of data generation: task-agnostic and task-specific, enabling controllable output. We demonstrate that a synthetic VQA-like dataset trained with LLaVA1.5 enhances performance on 10 …

Granular3d: Delving Into Multi-Granularity 3d Scene Graph Prediction, Kaixiang Huang, Jingru Yang, Jin Wang, Shengfeng He, Zhan Wang, Haiyan He, Qifeng Zhang, Guodong Lu

Research Collection School Of Computing and Information Systems

This paper addresses the significant challenges in 3D Semantic Scene Graph (3DSSG) prediction, essential for understanding complex 3D environments. Traditional approaches, primarily using PointNet and Graph Convolutional Networks, struggle with effectively extracting multi-grained features from intricate 3D scenes, largely due to a focus on global scene processing and single-scale feature extraction. To overcome these limitations, we introduce Granular3D, a novel approach that shifts the focus towards multi-granularity analysis by predicting relation triplets from specific sub-scenes. One key is the Adaptive Instance Enveloping Method (AIEM), which establishes an approximate envelope structure around irregular instances, providing shape-adaptive local point cloud sampling, thereby …

An Efficient Superhypersoft Framework For Evaluating Llms-Based Secure Blockchain Platforms, Mona Mohamed, Alaa Elmor, Florentin Smarandache, Ahmed A. Metwaly

Neutrosophic Sets and Systems

In the age of modern technology, the use of the internet has become imperative. However, this widespread access presents a double-edged sword and opens doors for hackers and scammers to exploit vulnerabilities and engage in illegal activities. Accordingly, scholars and stakeholders are attempting to solve this matter. Large Language Models (LLMs) have provided highly effective methodologies and solutions in various cybersecurity sectors. Hence, we exhibited the efficacy of LLMs in several information and communication technologies (ICT) such as the Internet of Things (IoT), cloud computing, blockchain technology (BCT)…etc which are attacked and threatened. Accordingly, the objective of our study is …

Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.

OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.

MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …

Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu

Faculty, Staff and Student Publications

OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.

MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …

Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang

Faculty, Staff and Student Publications

Objectives: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, and large pre-training datasets to perform a wide spectrum of natural language processing (NLP) tasks. Using a few examples (few-shot) or no examples (zero-shot) for prompt-tuning has enabled LLMs to achieve state-of-the-art performance in a broad range of NLP applications. This article by the American Medical Informatics Association (AMIA) NLP Working Group characterizes the opportunities, challenges, and best practices for our community to leverage and advance the integration of …

A Novel And An Efficient Codas Technique To Solve Real-Life Magdm Problems In Fermatean Neutrosophic Environment, S. Bhuvaneshwari, C. Antony Crispin Sweety, Akanksha Singh, Said Broumi, Mohamed Talea, Prasanta Kumar Raut

Neutrosophic Sets and Systems

As a generalization of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets, and their combinations have been developed to represent uncertain, imprecise, incomplete, and inconsistent information existing in the real world. A neutrosophic set has the potential to be a general framework for uncertainty analysis in various spectra. On the other hand, the idea of Fermatean neutrosophic sets (FNSs) is the hybrid model of Fermatean fuzzy sets and neutrosophic sets, developed to enable the analytical management of ambiguous data from relatively typical real world decision-making scenarios. In this work, we develop an algorithm to compare the Fermatean neutrosophic set and …

Evaluation Of Distributed Leadership In Education Using Neutrosophic Hypersoft Set, Nouran Ajabnoor

Neutrosophic Sets and Systems

Leadership in education needs to transcend, be responsive, and be adaptable to the boundaries of school leadership. Distributed leadership refers to various organizational stakeholders with a transformative framework and methodology. This paper proposed a decision-making methodology to evaluate distributed leadership in education based on multiple criteria and alternatives. The multi-criteria decision-making is used to deal with multiple criteria and alternatives. The Multi Attributive Border Approximation Area Comparison (MABAC) approach ranks the alternatives. The neutrosophic set was used to deal with uncertainty and vague information in decision-making problems. This study used the neutrosophic HyperSoft Set. Neutrosophic HyperSoft Set is a new …

Neutrosophic Sets And Systems, Vol. 72,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

the whole volume

Factors Influencing Engagement Across The Motivational Prep Cascade Among Latino Smm: A Mixed-Methods Analysis From The Perspectives Of Community Providers And Latino Smm, Juan Pablo Zapata, Manuel Hurtado, Andrés Alvarado Avila, Steven A. John, Carlos E. Rodriguez-Diaz, Ed De St. Aubin

Psychology Faculty Research and Publications

Latino sexual minority men (SMM) are a highly vulnerable population to HIV, and while pre-exposure prophylaxis (PrEP) has emerged as a promising biomedical tool for HIV prevention among them, its utilization remains disproportionately low in this community despite its potential. Understanding the barriers along the PrEP continuum of care, known as the “PrEP cascade,” is crucial for effectively implementing PrEP interventions. Therefore, the objective of our study was twofold: first, to explore the stage of Latino SMM in the PrEP cascade by examining disparities in demographics, social factors, and healthcare aspects; second, to gain insights from healthcare providers who have …

“Education Would Be Step Number One”: Community Mental Health Clinicians’ Training And Support Needs To Treat Anxiety In Autistic Youth, Shannon C Lapoint, Grace Lee Simmons, Julia Heinly, Daylin Delgado, Whitney S Shepherd, Lauren Brookman-Frazee, Eric A Storch, Brenna B Maddox

Faculty, Staff and Students Publications

Background: Autistic youth experience high rates of anxiety, which has been treated with modified cognitive-behavioral therapy (CBT), often integrating exposure therapy. Such anxiety treatments are effective for this population; however, there remains a gap between these evidence-based mental health interventions and their implementation in community mental health (CMH) services where autistic youth receive care.

Method: This qualitative study conducted semi-structured interviews with four types of community members in the United States: 15 autistic youth with anxiety, 15 caregivers of autistic youth with anxiety, 11 CMH clinicians, and 8 CMH clinic leaders. Participants identified the training needs of CMH clinicians to …

Annual Adherence Of Asian American Individuals In A Lung Cancer Screening Program Compared With Other Racial Groups, Benjamin Tasevac, Christine S. Shusted, Brooke Ruane, Emily Muse, Olugbenga Okusanya, Tyler Grenda, Nathaniel R. Evans, Gregory C. Kane, Kuang-Yi Wen, Hee-Soon Juon, Julie Barta

Department of Medicine Faculty Papers

Racial differences in lung cancer screening (LCS) eligibility and outcomes persist despite recent expansion of the US Preventive Services Task Force criteria and greater recognition of screening disparities. Research Question: What is the annual screening adherence rate for US Preventive Services Task Force-eligible Asian American individuals receiving LCS through a centralized screening program? Study Design and Methods: Individuals screened through a centralized LCS program were identified retrospectively using the Jefferson LCS Program Registry. Sociodemographic and clinical data were extracted from the prospectively maintained registry. Frequency statistics were compared by race including among Asian American subgroups, and multivariate logistic regression was …

Leveraging Large Language Models To Foster Equity In Healthcare, Jorge A Rodriguez, Emily Alsentzer, David W Bates

Faculty, Staff and Students Publications

Objectives: Large language models (LLMs) are poised to change care delivery, but their impact on health equity is unclear. While marginalized populations have been historically excluded from early technology developments, LLMs present an opportunity to change our approach to developing, evaluating, and implementing new technologies. In this perspective, we describe the role of LLMs in supporting health equity.

Materials and methods: We apply the National Institute on Minority Health and Health Disparities (NIMHD) research framework to explore the use of LLMs for health equity.

Results: We present opportunities for how LLMs can improve health equity across individual, family and organizational, …

Féminas Speaking Up: Three Papers On Feminine Transgender Identities, Gender Identity Activism, And Language Reform In Lima, Peru, Ernesto Cuba

Dissertations, Theses, and Capstone Projects

In this three-paper dissertation, I explore the linguistic and discursive practices of Féminas, a leading transgender rights activist organization based in Lima, Peru. Building on scholarship on language ideologies (Irvine & Gal, 2000), queer linguistics (Motschenbacher, 2011), and socio-onomastics (Ainiala & Östman, 2017), I analyze the role that language beliefs and language-in-use plays in performing local (trans)gender identities and shaping grassroots politics within this specific community of practice (Eckert & McConnell-Ginet, 1992). Based on an extensive corpus of semi-structured interviews and ethnographic material gathered during my long-term investigation with Féminas, I present three studies exploring distinct –though related– ideologically-driven sociolinguistic …

Claiming The Right To Belong: Diversity And The Politics Of Inclusion In Queens, New York, Susan J. Tanenbaum

Dissertations, Theses, and Capstone Projects

This dissertation examines social integration in a diverse civic and political mainstream. The social science research on intergroup contact in U.S. cities undergoing significant demographic change tends to focus on encounters between members of majority “in-groups” and minority “out-groups” in the context of workplaces, neighborhoods, and families. I contend that civic politics is another compelling strategic site for observing intergroup contact between emerging and established players. My study presents three cases of claims-making activity during the post-9/11 period in New York City’s borough of Queens, where close to 50% of the population is foreign-born and no single racial group predominates. …

Intuitionism, Justification Logic, And Doxastic Reasoning, Vincent A. Peluce

Dissertations, Theses, and Capstone Projects

In this Dissertation, we examine a handful of related themes in the philosophy of logic and mathematics. We take as a starting point the deeply philosophical, and—as we argue, deeply Kantian—views of L.E.J. Brouwer, the founder of intuitionism. We examine his famous first act of intuitionism. Therein, he put forth both a critical and a constructive idea. This critical idea involved digging a philosophical rift between what he thought of himself as doing and what he thought of his contemporaries, specifically Hilbert, as doing. He sought to completely separate mathematics from mathematical language, and thereby logic. In chapter 3, we …

Helpful Intentions? Impact Of Intentionality On Children's Memory For Forensically-Relevant Information, Ella P. Merriwether

Dissertations, Theses, and Capstone Projects

Rationale: When a child is a witness or victim of a crime, they are often asked a barrage of questions regarding when the crime took place, how many times it occurred, and how the abuse unfolded (Cross & Whitcomb, 2017; Sullivan et al., 2022). These questions can be problematic because they rely on concepts for which children may lack memory or linguistic ability to answer (Fenson et al., 2000; Friedman, 1993). One fundamental element missing from the copious research (e.g., Brubacher et al., 2012; Stolzenberg et al., 2017a; Wylie et al., 2021) on children’s ability to recount forensically-relevant information is …

Preschoolers’ Generation Of Quantity Implicatures, André Eliatamby

Dissertations, Theses, and Capstone Projects

This dissertation uses the developing child as a window into the mechanisms and representations that allow us to understand the meaning of utterances in their contexts. I present three studies investigating 4- and 5-year-olds’ ability to generate two types of “quantity implicatures,” classic scalar implicatures with some that imply not all, and free choice inferences that arise with sentences like “Larry is allowed to have cake or ice-cream.” Together, the studies suggest a close relationship between pragmatic development and word learning, something not appreciated in existing literature. In the first study investigating some, I show that preschoolers interpret …

Liberal Attitude Reports, Tomasz Zyglewicz

Dissertations, Theses, and Capstone Projects

Attitude reports are sentences such as “Tomasz thinks the Earth is flat” or “Susan wantsvice cream.” It is commonly assumed that the main reason people use them is to make sense of the reportee’s behavior: to explain their past actions, or predict future ones. To play this role effectively, attitude reports have to accurately describe what is going on in the reportee’s head. Let’s call attitue reports that do not meet this condition “Liberal attitude reports.” For example: Alice is a vegan doctor who thinks that every vegan should take a B12 supplements. It is felicitous to say to your …

Cognitive Flexibility And Stability In Bilingual Older Adults, Lia Pazuelo

Dissertations, Theses, and Capstone Projects

Lifelong bilingual individuals develop expertise in language-switching, requiring a delicate balance between cognitive stability—safeguarding goals from interference—and cognitive flexibility—adapting goals to changing demands. While some studies demonstrate the transferability of these skills to non-linguistic tasks, signifying bilingualism's impact on cognitive processes, others find no direct correlation between non-linguistic task-switching and bilingualism. Our study investigated the cognitive processes underlying bilingual speakers' performance on a switching task, exploring whether varying degrees of bilingual experience in older adults result in different tendencies towards stability (e.g., lower mixing cost and response congruency effect) or flexibility (e.g., smaller switching costs). By treating the bilingual experience …

“Hattak Vpi Homma” Mvt Miha Nanta Fehna? What Does “Native American” Really Mean?, Alex R. Steers-Mccrum

Dissertations, Theses, and Capstone Projects

Indigenous identities in North America are much more complex than generally assumed. No single definition of “Native (American),” “(American) Indian,” or related terms provides a set of necessary and sufficient conditions that accurately or usefully describe all and only the right individuals and communities. I argue that understanding Native identities in the contemporary context requires examining multiple interconnected dimensions of Nativeness, articulated here as Enrollment and Recognition, Tribal Ethnicities, Native Race, Indian Panethnicity, and Indigenous Nationhood.

In the U.S., Indigenous identities are usually oversimplified as either Enrollment in a Recognized Tribe or as Native Race. While both of these aspects …

Dante’S Volgare And The Pastoral Presence: An Analysis Of The Concept Of Language In The Divina Commedia, Paola M. Rodriguez

Dissertations, Theses, and Capstone Projects

Dante’s conception of the Italian vernacular, the “volgare illustre”, is a central concern of his work and one which catalyses and nurtures, both overtly and covertly, his creation of the Commedia. Although Dante positions himself in his writings as the continual defender and most prolific poet of the vernacular, isolating a specific linguistic use and structure, a coherent definition of what vernacular Dante privileges or what appropriate usage he adheres to, is a difficult and often confusing task. The existence of two eclogues, the only works by Dante to have been written after the majority of the Commedia had been …

Radical Co-Teaching: How Building Relationships Creates Radical Co-Teaching Partnerships, Meagan L. Serrano

Dissertations, Theses, and Capstone Projects

This study analyzes the development of co-teaching relationships in K-12 classrooms in New York City. More than half of all teachers in New York City will be placed in co-taught classrooms, but they are not directly instructed on how to co-teach–and the relational aspects of co-teaching are largely ignored. This study uses New York public school teacher insights and experiences to understand what really goes into building strong co-teaching partnerships. Using a grounded theory framework for analysis, the research project examines the aspects of successful co-teacher relationships from the co-teacher perspective. The goal of this project is to understand how …

Henry James And The Act Of Speech From Drama To Dictation, Mary Claire Brunelli

Dissertations, Theses, and Capstone Projects

This dissertation examines the idea of speech as an act in the writings of Henry James for the purpose of analyzing the author’s relationship to drama and how it influenced his practice of typewriter dictation. It traces the intersections of biography and bibliography within James’s notebooks, letters, and fiction produced during the years between his dismissal of playwriting after the public rejection of Guy Domville in January 1895 and his adoption of dictation due to writer’s cramp in the fall of 1896, as he worked on What Maisie Knew. In advancing an affective methodology to discover the embodied reality …