Digital Commons Network^™

Exploring Language And Community Through Social Media: How Culturally Diverse English Language Learners Use Social Media Apps To Connect, Find Community And Communicate With Korean Entertainment Fandoms, Auteema Suber Ma

All Student Scholarship

This research aimed to investigate how fans of Korean entertainment from various cultural backgrounds utilize social media (SM) platforms to engage with each other. Additionally, the study examined if these social media connections offer genuine opportunities for English language practice and learning for English language learners (ELL’s). Through data collected via surveys and questionnaires and the analysis of online interactions, the study delved into the ways in which social media serves as a bridge for fans to exchange ideas and build a sense of community across diverse cultures. It also demonstrated these platforms can be a safe environment when implementing …

Implementation And Evaluation Of Ai-Based Citizen Question-Answer Recommender (Acqar) To Enhance Citizen Service Delivery In Singapore Public Sector: A Case Study, Hui Shan Lee

Dissertations and Theses Collection (Open Access)

Government agencies prioritize citizen service delivery to foster trust with the public. Technological advancements, particularly in Artificial Intelligence (AI), hold promise for improving service provision and aligning government operations with citizens' needs. Yet the inherent inflexibility of Service Level Agreements (SLAs) often overlooks the nuances of human emotions and the varied nature of citizen inquiries, exacerbated by a lack of tools to guide appropriate responses. This dissertation aims to address the gaps of overlook of human emotions and non-support for appropriate responses, by exploring the following questions: (1) Can a predictive model incorporating both numeric and textual data effectively forecast …

Sequential Recommendation: From Representation Learning To Reasoning, Lei Wang

Dissertations and Theses Collection (Open Access)

The recommender system is a crucial component of today's online services. It helps users navigate through an overwhelmingly large number of items and discovering those that interest them. Unlike general recommender systems, which recommend items based on the user's overall preferences, sequential recommender systems consider the order of user-item interactions. Sequential recommendations aim to predict the next item a user will interact with, given a sequence of previously interacted items, while considering the short-term and long-term dependencies among items.

In this thesis, we focus on sequential recommendation methods: from representation learning to large language model (LLM)-based reasoning. On the one …

One Hand Doesn't Clap: The Moderation Of Individual Factors On The Relationship Between Leader Narcissism And Followers' Outcomes, Wafa Mohammed Al Wahedi

Dissertations

Drawing on leadership and social exchange theories, the purpose of this study is to examine the adverse impact of the toxic triangle; namely, Leader Narcissism (LN), Perceived Unethical Climate (PUC) and Followers' Submissiveness (FS) on followers' outcomes, particularly Psychological Capital (PsyCap) and Constructive Deviance (CD) through the mediation of Leader-Member Exchange (LMX). The study introduces Moral Identity (MI) as a moderator. The conceptual framework was put to the test with data collected from both leaders and their followers in UAE-based organizations. Hierarchical linear model analysis was run on leaders and followers' dyadic data for testing whether moral identity moderated the …

Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

We propose and evaluate an automated pipeline for discovering significant topics from legal decision texts by passing features synthesized with topic models through penalized regressions and post-selection significance tests. The method identifies case topics significantly correlated with outcomes, topic-word distributions which can be manually interpreted to gain insights about significant topics, and case-topic weights which can be used to identify representative cases for each topic. We demonstrate the method on a new dataset of domain name disputes and a canonical dataset of European Court of Human Rights violation cases. Topic models based on latent semantic analysis as well as language …

Analyzing The Income-Education Nexus In Ecuador: A Neutrosophic Statistical Approach, Guido Macas-Acosta, Juan-Antonio Jimber-Del-Río, Fidel Márquez-Sánchez, Arnaldo Vergara-Romero

Neutrosophic Sets and Systems

This study examines the relationship between education and entrepreneur income in Ecuador, a prototypical small economy grappling with employment challenges. Utilizing quantile regression and neutrosophic statistical methods, the research uncovers varied impacts of education on earnings across different income levels. The findings reveal a decrease in indeterminacy as individuals ascend income quintiles, indicating that higher education levels yield more predictable and substantial economic returns at the upper end of the income spectrum. These insights are vital for policymakers to develop targeted educational interventions. The study’s methodological novelty lies in its adoption of neutrosophic statistics, which embraces the indeterminacy intrinsic to …

Landau Damping Of Dust Acoustic Solitary Waves In Nonextensive Dusty Plasma, Najah Kabalan, Mahmoud Ahmad, Ali Asad

Baghdad Science Journal

Dust acoustic (DA) solitary waves have been investigated under the influence of Landau damping in space dusty plasma with q-nonextensive velocity distributed of ions. The effect of the Landau damping, and nonextensive parameter q of the ions on DA solitary structures has been illustrated by a numerical solution of the Landau damping modified KdV equation. By applying the reductive perturbation technique (RPT) Korteweg-de Vries (KdV) an equation with an additional Landau damping term for our model has been derived. This study showed that the density of dusty particles plays an essential role in appearance or disappearance of DA solitary waves …

Effects Of Global Experiences For The Undergraduate Student, Patricia K. Adams

PhD in Education

The purpose of this non-experimental quantitative study was to determine the effect global experiences have on undergraduate students’ self-confidence, cultural awareness, and career choice. The research took place at a single research site, a private, faith-based university in the Southeastern United States. Students who had participated in a global experience, such as a mission trip or a study abroad experience, were invited to complete the researcher-created survey, the Global Experience Exit Survey. The data from 59 undergraduate students was analyzed using SPSS, specifically one sample t-tests. The results indicated statistically significant findings for all three subconstructs. The findings show that …

Maize Production In Ghana: A Case Study Of Asante Akim North Municipality, Vincent Osei

Masters Theses

In spite of the numerous benefits of maize production in Ghana, its production is faced with a lot of challenges leading to production losses. Asante Akim North Municipality is one of the largest maize-producing areas in Ghana. However, studies on maize and its production in this municipality are under-researched, hence the need for this study. The main objective of the study is to analyze a 10-year (2013-2022) production trend of maize in Asante Akim North Municipality to identify factors affecting maize production in the municipality, so as to seek pragmatic measures to help improve maize yields in the municipality and …

A Rural Return: The Triumphs And Trials Of A School District's Return To In-Person Learning, Jason Alex Wheeler

Educational Leadership & Workforce Development Theses & Dissertations

On March 13, 2020, Governor Ralph Northam ordered all public schools in Virginia to close for two weeks due to the on-going global health crisis; this closure was later extended to include the remainder of the academic year. This created a new political, academic, and social landscape for public schools across the commonwealth to navigate. In addition, to the external political landscape schools face, all public schools are saturated with micropolitical implications. Micropolitics, or the political interactions of values, power, organizational structures, and strategies among internal stakeholders, of which the COVID-19 Pandemic exacerbated, is concerned with the internal politics that …

The Impact Of Student Behavior And Motivation On Intercultural Competence, Marki Alexander

Dissertations

Intercultural competence has become an important trait for university graduates to possess, but an investigation into the influence of multiple factors on the achievement of intercultural competence has not been undertaken. This research examines the influence of academic and social behaviors, motivation, and student demographics on the attainment of intercultural competence through a mixed methods study. Undergraduate students taking a course focused on human diversity responded to intercultural situational judgement tests and the Expanded Cultural Intelligence Scale. The qualitative findings show a need to refine previous understandings of the development of intercultural competence. Some support for the influence of motivation …

Tuning Out: Intersections Of Music And Literature In The Contemporary French-Language Novel, Alexander Claussen

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The past thirty years have seen a shift in French-language novels as authors move from the self-reflexive formal experimentation of the nouveau roman and its successors toward a literature that is again concerned with plot, character, and above all, the problems of the contemporary world. This “retour au récit” is accompanied by a resurgence of interest in writing the self (through experiments in autofiction), the past (through explorations of collective memory and collective guilt), and the present (through novels that challenge existing social structures and seek to define and develop new collective or national identities). This dissertation examines the (re)turn …

Tuning Out: Intersections Of Music And Literature In The Contemporary French-Language Novel, Alexander James Claussen

Department of Modern Languages and Literatures: Dissertations, Theses, and Student Research

The past thirty years have seen a shift in French-language novels as authors move from the self-reflexive formal experimentation of the nouveau roman and its successors toward a literature that is again concerned with plot, character, and above all, the problems of the contemporary world. This “retour au récit” is accompanied by a resurgence of interest in writing the self (through experiments in autofiction), the past (through explorations of collective memory and collective guilt), and the present (through novels that challenge existing social structures and seek to define and develop new collective or national identities).

This dissertation examines the (re)turn …

Vikor Method With Z Number Approach For Portfolio Selection Decision, Zamali Tarmudi, Shamsatun Nahar Ahmad, Siti Afiqah Mohammad, Ahmad Faiz Ghazali, Mazlyda Abd Rahman, Yaya Sudarya Triana

Malaysian Journal of Computing (MJoC)

Investors and decision makers (DMs) have become increasingly interested in portfolio selection in a borderless world in recent years. In real-world market situations, the performance of a great number of portfolios is typically unpredictable due to the presence of uncertainty and unreliable factors in numerous criteria. Therefore, it is essential to increase investor returns and promote an investment strategy through thorough evaluation. This occurrence becomes critical if the DMs employ an unsuitable strategy that fails to handle both aspects in a prudent manner. Due to its importance, this paper implements a VIKOR method with a Z-number approach for selecting the …

Event Planner Contractor Selection Based On Consistent Fuzzy Linguistic Preference Relations Method, Noratika Nordin, Daud Mohamad

Malaysian Journal of Computing (MJoC)

Event planning, handled by the event planner, involves organizing and coordinating events. The growing number of event planning companies has created a competitive environment where all strive to be the top choice for event managers. Ranking event planners can be subjective, as it depends on specific event requirements. Therefore, it is a crucial stage in selecting the best event planner since many criteria need to be considered. This study aims to identify event planner contractors and rank the alternatives by applying Consistent Fuzzy Linguistic Preference Relations (CFLPR). CFLPR is chosen because it reduces the number of comparisons, streamlines the process, …

The Selection Of Preferred Textbook Based On The Dominance Method, Harliza Mohd Hanif, Daud Mohamad, Nor Hashimah Sulaiman, Siti Rahimah Batcha

Malaysian Journal of Computing (MJoC)

Calculus is a mathematics subject normally taught at the tertiary level. Many calculus textbooks with different approaches and styles have been published to cater to the needs of students. The selection of calculus textbooks is essential as it can help teachers and students to optimize their usage. Textbook selection problem is one type of multiple-criteria decisionmaking problem where the selection is based on several criteria. Thus, ranking fuzzy numbers based on the area dominance method ranks the calculus textbook.

Documents From The May 1, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the May 1, 2024 meeting of the Associated Students of the University of Montana (ASUM). The following resolutions were discussed during the meeting:

SB31-23/24: Resolution Establishing Support for the Work World Languages and Cultures (“WLC”) Majors and Minors Contribute to Club Activities and Campus Culture

Classical Greece In The European Imperial Imagination, 1500-1700, Alexander Batson

Yale Graduate School of Arts and Sciences Dissertations

This dissertation provides the first book-length study of how early modern European thinkers drew upon the history and literature of ancient Greece in constructing imperial ideology. By focusing on the importance of Greek reception for ideas of empire, this dissertation overturns two dominant scholarly narratives. First, it challenges the idea that the connection between classics and empire in the early modern world was primarily about Rome. Second, it expands our knowledge of the role of Greece in early modern political thought by showing that Greece was understood as an empire, adding to existing narratives that highlight Greece as a model …

The Effect Of Asynchronous Virtual Exchange On Intercultural Competence Among Undergraduate Students, Curtis Chu, Todd Hooper, Mariko Takahashi, Michael Herke

Journal of Comparative & International Higher Education

No abstract provided.

“Originally I Came From The Least Of Society”: Making Sense Of International Students’ Understandings Of Social Class Through Emotional Commentaries, Sam Shields, Alina Schartner

Journal of Comparative & International Higher Education

No abstract provided.

Sentiment Analysis Of Online Healthy Community Based On Semantic Enhancement, Pu Han, Ye Dongyu

Journal of Scientific Information Research

[Purpose/significance]In order to make full use of the value of text dependent syntactic information and prior emotion knowledge in emotion analysis， a semantic enhanced online healthy community emotion analysis model was proposed. [Method/process]Firstly， feature vectors for pre-processed online health community data are generated by Word2Vec and BERT; then local and global information of online review text are extracted using TextCNN and BiLSTM respectively based on dual-channel idea; then sentiment knowledge and dependency grammar information are merged in graph attention networks for semantic enhancement; finally， dual-channel features are fused and perform online health community sentiment classification in fully connected layer. [Result/conclusion]The …

Supporting Resource Equity For Oregon’S Home Visiting Workforce: Exploring Racial, Ethnic & Linguistic Differences, Beth L. Green, Nicole M. Lauzus, Yumi Lee, Erin Gaines, Ron Joseph

School of Social Work Faculty Publications and Presentations

Home visitors of color—those whose lived experience and background reflect the cultural, racial and linguistic diversity of so many Oregon families—cope with compounding stressors related to structural racism, bias and documented pay inequities.

This learning brief is the first in a series to share findings from a 2023 statewide survey of Oregon’s home visiting workforce. This study has provided a wealth of information about this workforce and how to improve and support its well-being and retention, with a focus on the needs and experiences of home visitors of color and those who speak languages other than English.

Church-Supported Esl Ministry In Canada: A Look At The Church’S Mission In Action, Gordon Moulden

Great Commission Research Journal

English is a dominant business, academic, and communicative language throughout the world. Immigrants and refugees coming to the West have a great need to learn the language but often do not have the funds or time to pursue studies full-time. Churches often offer English classes to minister to not only their language needs but also to their relational and spiritual needs. This mixed-methods survey and interview research investigates the state of church-supported English as a Second Language (ESL) programs across Canada following the COVID-19 pandemic. Approximately 50 teachers and program coordinators completed the survey, which revealed needs relating to training …

Hop‑Based Heterogeneous Graph Transformer, Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat‑Seng Chua

Research Collection School Of Computing and Information Systems

The Graph Transformer (GT) has shown significant ability in processing graph-structured data, addressing limitations in graph neural networks, such as over-smoothing and over-squashing. However, the implementation of GT in real-world heterogeneous graphs (HGs) with complex topology continues to present numerous challenges. Firstly, a challenge arises in designing a tokenizer that is compatible with heterogeneity. Secondly, the complexity of the transformer hampers the acquisition of high-order neighbor information in HGs. In this paper, we propose a novel Hop-basedHeterogeneous Graph Transformer (H2Gormer) framework, paving a promising path for HGs to benefit from the capabilities of Transformers. We propose a Heterogeneous Hop-based Token …

Exploring The Potential Of Chatgpt In Automated Code Refinement: An Empirical Study, Qi Guo, Shangqing Liu, Junming Cao, Xiaohong Li, Xin Peng, Xiaofei Xie, Bihuan Chen

Research Collection School Of Computing and Information Systems

Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can significantly impact the development process. Recently, ChatGPT, a cutting-edge language model, has demonstrated impressive performance in various natural language processing tasks, suggesting its potential to automate code review processes. However, it is still unclear how well ChatGPT performs in code review tasks. To fill this gap, in this paper, we conduct the first empirical study to understand the capabilities of ChatGPT in code review tasks, specifically focusing on automated code refinement based on given …

Improving Automated Code Reviews: Learning From Experience, Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, Wachiraphan Charoenwet

Research Collection School Of Computing and Information Systems

Modern code review is a critical quality assurance process that is widely adopted in both industry and open source software environments. This process can help newcomers learn from the feedback of experienced reviewers; however, it often brings a large workload and stress to reviewers. To alleviate this burden, the field of automated code reviews aims to automate the process, teaching large language models to provide reviews on submitted code, just as a human would. A recent approach pre-trained and fine-tuned the code intelligent language model on a large-scale code review corpus. However, such techniques did not fully utilise quality reviews …

Creative And Correct: Requesting Diverse Code Solutions From Ai, Scott Blyth, Markus Wagner, Christoph Treude

Research Collection School Of Computing and Information Systems

AI foundation models have the capability to produce a wide array of responses to a single prompt, a feature that is highly beneficial in software engineering to generate diverse code solutions. However, this advantage introduces a significant trade-off between diversity and correctness. In software engineering tasks, diversity is key to exploring design spaces and fostering creativity, but the practical value of these solutions is heavily dependent on their correctness. Our study systematically investigates this trade-off using experiments with HumanEval tasks, exploring various parameter settings and prompting strategies. We assess the diversity of code solutions using similarity metrics from the code …

Enhancing Source Code Representations For Deep Learning With Static Analysis, Xueting Guan, Christoph Treude

Research Collection School Of Computing and Information Systems

Deep learning techniques applied to program analysis tasks such as code classification, summarization, and bug detection have seen widespread interest. Traditional approaches, however, treat programming source code as natural language text, which may neglect significant structural or semantic details. Additionally, most current methods of representing source code focus solely on the code, without considering beneficial additional context. This paper explores the integration of static analysis and additional context such as bug reports and design patterns into source code representations for deep learning models. We use the Abstract Syntax Tree-based Neural Network (ASTNN) method and augment it with additional context information …

Preliminaries And Editor's Introduction, Dinah Tapia Roma

Akda: The Asian Journal of Literature, Culture, Performance

No abstract provided.

Expanding Frameworks: Conducting Discourse Analysis In Counseling Research, Chloe Lancaster, Melissa J. Fickling

The Qualitative Report

Discourse analysis encompasses a variety of disciplinary approaches that broadly aim to understand how individuals and groups use language to construct and maintain their psychological and social realities. A central concept in discourse analysis is we all use discourse to accomplish our communication goals despite being unaware of most discourses we evoke. While discourse studies could help counseling professionals to better understand how they deploy discourses to maintain identities, inequalities, and status quo, the method is not well-represented in counseling research in the United States. This methodological guide presents an introduction to discourse analysis and an overview of the analytic …