Digital Commons Network^™

Self-Perceived Cognitive Functioning In Motoric Cognitive Risk Syndrome: Enhancing Risk Detection In Health Disparity Older Adults, Caroline O. Nester

Dissertations, Theses, and Capstone Projects

Motoric Cognitive Risk Syndrome (MCR) is a predementia condition that combines two clinical presentations associated with dementia: slow gait speed and subjective cognitive concerns (SCC). MCR diagnosis is associated with increased risk for dementia over its individual components of SCC or slow gait alone, making it a valuable marker of early neurodegenerative changes. MCR does not require expensive, time-consuming assessments to be diagnosed, broadening accessibility in remote or under-resourced settings. At present, there is no consistent method to assess SCC in MCR – a key diagnostic feature of the syndrome. The lack of understanding about SCC in MCR may limit …

Getting To The Point: Contrasting Directness And Warmth In Motivational Embodied Conversational Agents, Michael O'Mahony, Cathy Ennis, Robert Ross

Conference papers

Enhancing long-term engagement with conversational agents remains a significant challenge. Controlling the perceived warmth or directness of an agent’s personality through the style of its generated text could be used to increase user likeability. This paper reports an investigation of a Wizard-of-Oz (WoZ) mediated study of two variants of a motivational embodied conversational agent to measure user perception of and attitudes towards warmth in interaction style. Results show a significant effect of users preferring an agent with a "more direct" personality for this scenario, though this effect is in many ways nuanced.

Exploring Javanese As A First Language In Children’S Social Groups In Blitar, Roosi Rusmawati, Ismatul Khasanah, Khilmi Mauliddian

Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya

This study aims to explore the use of Javanese language in the domain of children’s social groups in the Mataraman Area of the Blitar border. Qualitative method is utilized in this study to provide a comprehensive conception of the linguistic phenomenon accurately without any treatment given to the subject matter. As a sociolinguistic study, it aims to observe the language attitude observed in the domain of children’s social groups in the border areas. In an effort to prevent the COVID-19 pandemic, the data was collected by a field team consisting of local residents to expedite the process while still adhering …

Mapping Internationalization Of Curriculum Onto School Psychology And Related Fields: A Systematic Review Of Literature

Journal of Comparative & International Higher Education

No abstract provided.

Current Insights On Using Social Robots To Support Second Language (L2) International Students In Higher Education

Journal of Comparative & International Higher Education

No abstract provided.

Enhancing Stance Classification On Social Media Using Quantified Moral Foundations, Hong Zhang, Quoc-Nam Nguyen, Prasanta Bhattacharya, Wei Gao, Liang Ze Wong, Brandon Siyuan Loh, Joseph J. P. Simons, Jisun An

Research Collection School Of Computing and Information Systems

This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals’ moral foundations. These theoretically-derived dimensions aim to provide an interpretable profile of an individual’s moral concerns which, in recent work, has been linked to behaviour in a range of domains including society, politics, health, and the environment. In this paper, we investigate how moral foundation dimensions can contribute to detecting an individual’s stance on a given target. Specifically, we incorporate moral foundation features extracted from text, along with semantic features, to classify stances at both message-and user-levels using traditional machine learning and Large Language Models …

The Scales Project: Making Federal Court Records Free, David L. Schwartz, Kat M. Albrecht, Adam R. Pah, Christopher A. Cotropia, Amy Kristin Sanders, Sarath Sanga, Charlotte S. Alexander, Luís A.N. Amaral, Zachary D. Clopton, Anne M. Tucker, Thomas W. Gaylord, Scott G. Daniel, Nathan Dahlberg

Northwestern University Law Review

Federal court records have been available online for nearly a quarter century, yet they remain frustratingly inaccessible to the public. This is due to two primary barriers: (1) the federal government’s prohibitively high fees to access the records at scale and (2) the unwieldy state of the records themselves, which are mostly text documents scattered across numerous systems. Official datasets produced by the judiciary, as well as third-party data collection efforts, are incomplete, inaccurate, and similarly inaccessible to the public. The result is a de facto data blackout that leaves an entire branch of the federal government shielded from empirical …

Jurisdiction Devolution: An Interim Transitional Arrangement On The Road To Indigenous Self-Government, Nicole Spadotto

Dalhousie Law Journal

Indigenous self-government is a key component of reconciliation between Canada and Indigenous Nations. The negotiation of self-government agreements and exercise of self-government should occur on Indigenous Peoples’ own terms. Negotiations, however, can be lengthy. There are more immediate power-sharing alternatives. These include recognition legislation, where federal and provincial governments recognize Indigenous Peoples’ inherent right to self-government over certain affairs, thus creating space for Indigenous Nations to exercise their inherent self-government rights. They also include jurisdictional devolution, a fuller form of delegation, which might include law-making and enforcement powers. This latter option is “somewhat unpalatable” because the source of the governance …

Creation Story Motifs As Expressions Of Identity And Resiliency In The Visual Culture Of Kahnawà:Ke, Jana Ondrechen Hallford

Theses

Kahnawa:ke is a First Nations reserve near Montreal in Quebec, Canada, with a rich history of creative expression. This is a Kanienʼkehá꞉ka (Mohawk) community, a part of the Haudenosaunee (Iroquois) Confederacy, a prominent First Peoples group of the Northeast Woodlands. Like many other Indigenous communities, Kahnawa:ke is in the process of revitalizing and renormalizing their culture after centuries of assimilation efforts and pressures to separate them from their traditions. Their creation story, known as the Sky Woman Epoch, is foundational to this culture. While there are a number of creation symbols, this study will focus on the Sky Dome, a …

An Examination Of Artistic Expression Through Honoré Daumier's Le Fardeau, Sarah Isak-Goode

Theses

Honoré Daumier, renowned for his career as a political cartoonist in 19th-century France, created a substantial body of personal works that have received comparatively little scholarly attention. This thesis focuses on Daumier's paintings, particularly those created during his midlife (1848-1864), examining their distinctively serious qualities and emotional depth. Through an interdisciplinary approach combining art historical analysis and psychobiography, this research explores the previously unrecognized connection between Daumier's paintings and his private life experiences. Central to this study is an in-depth analysis of Le Fardeau, a painting that exemplifies Daumier's artistic evolution and emotional expression during a period marked by personal …

Collaborative Intrusion Detection System To Identify Joint Attacks In Routing Protocol For Low-Power And Lossy Networks Routing Protocol On The Internet Of Everything, Omar A. Abdulkareem, Raja Kumar Kontham, Farhad E. Mahmood

Mesopotamian Journal of CyberSecurity

The Routing Protocol for Low-Power and Lossy Networks (RPL) routing protocol is utilized in the Internet of Everything (IoE) is highly vulnerable to various collaborative routing attacks. This attack can highly degrade network performance through increased delay, energy consumption, and unreliable data exchange. This critical vulnerability necessitates a robust intrusion detection system. This study aims to enhance a Collaborative Intrusion Detection System (CIDS) for detecting and mitigating joint attacks in the RPL protocol, focusing on improving detection accuracy while minimizing network delay and energy usage. A series of algorithms and techniques are implemented, including Queue and Workload-Aware RPL (QWL-RPL) for …

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 …

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 …

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.

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 …

Musical Semiotics In Kate Soper’S Ipsa Dixit (2010–2016), Scott A. Miller

Dissertations, Theses, and Capstone Projects

This dissertation analyzes the six parts of Kate Soper’s Ipsa Dixit (2010–2016). While individual parts have received some music theoretical attention, this is the first analysis of the entire Pulitzer Prize-nominated work. Ambiguity and contingency are major themes of Ipsa Dixit, and by treating each part independently and in combination, I hope to honor Ipsa’s contingent status as a unified work comprised of six complete works. Soper’s libretto unifies an assemblage of texts with adaptations of Aristotle to investigate the intersections of language and music with authority, veracity, and (un)intelligibility.

I theorize that Soper’s “philosophy-opera” dramatizes the formation of …

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 …