Digital Commons Network^™

Collaboration! Towards Robust Neural Methods For Routing Problems, Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

Research Collection School Of Computing and Information Systems

Despite enjoying desirable efficiency and reduced reliance on domain expertise, existing neural methods for vehicle routing problems (VRPs) suffer from severe robustness issues – their performance significantly deteriorates on clean instances with crafted perturbations. To enhance robustness, we propose an ensemble-based Collaborative Neural Framework (CNF) w.r.t. the defense of neural VRP methods, which is crucial yet underexplored in the literature. Given a neural VRP method, we adversarially train multiple models in a collaborative manner to synergistically promote robustness against attacks, while boosting standard generalization on clean instances. A neural router is designed to adeptly distribute training instances among models, enhancing …

Flexfl: Heterogeneous Federated Learning Via Apoz-Guided Flexible Pruning In Uncertain Scenarios, Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen

Research Collection School Of Computing and Information Systems

Along with the increasing popularity of Deep Learning (DL) techniques, more and more Artificial Intelligence of Things (AIoT) systems are adopting federated learning (FL) to enable privacy-aware collaborative learning among AIoT devices. However, due to the inherent data and device heterogeneity issues, existing FL-based AIoT systems suffer from the model selection problem. Although various heterogeneous FL methods have been investigated to enable collaborative training among heterogeneous models, there is still a lack of i) wise heterogeneous model generation methods for devices, ii) consideration of uncertain factors, and iii) performance guarantee for large models, thus strongly limiting the overall FL performance. …

Inverse Factorized Soft Q-Learning For Cooperative Multi-Agent Imitation Learning, The Viet Bui, Tien Mai, Thanh Nguyen

Research Collection School Of Computing and Information Systems

This paper concerns imitation learning (IL) in cooperative multi-agent systems.The learning problem under consideration poses several challenges, characterized by high-dimensional state and action spaces and intricate inter-agent dependencies. In a single-agent setting, IL was shown to be done efficiently via an inverse soft-Q learning process. However, extending this framework to a multi-agent context introduces the need to simultaneously learn both local value functions to capture local observations and individual actions, and a joint value function for exploiting centralized learning.In this work, we introduce a new multi-agent IL algorithm designed to address these challenges. Our approach enables thecentralized learning by leveraging …

A Community-Driven Framework To Evaluate Factors Influencing Nft Buyers, Yi Meng Lau, Ping Fan Ke

Research Collection School Of Computing and Information Systems

This study examines the pivotal role of community-driven social dynamics in shaping non-fungible tokens (NFT) buyers’ purchasing intentions and the increasing social significance of digital assets. Building on prior research in online word-of-mouth, we propose a comprehensive framework that integrates technological, personal, social, economic, and political factors influencing NFT purchases. The framework emphasizes the importance of service providers, personalization, perceived value, and associated risks, while also providing insights into how online word-of-mouth and community dynamics impact these aspects. As a preliminary exploration, this research lays the foundation for future empirical studies to validate the framework and assess its applicability across …

Towards General Conceptual Model Editing Via Adversarial Representation Engineering, Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun

Research Collection School Of Computing and Information Systems

Since the rapid development of Large Language Models (LLMs) has achieved remarkable success, understanding and rectifying their internal complex mechanisms has become an urgent issue. Recent research has attempted to interpret their behaviors through the lens of inner representation. However, developing practical and efficient methods for applying these representations for general and flexible model editing remains challenging. In this work, we explore how to leverage insights from representation engineering to guide the editing of LLMs by deploying a representation sensor as an editing oracle. We first identify the importance of a robust and reliable sensor during editing, then propose an …

Ali-Agent: Assessing Llms’ Alignment With Human Values Via Agent-Based Evaluation, Jingnan Zheng, Han Wang, Tai D. Nguyen, An Zhang, Jun Sun, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) can elicit unintended and even harmful content when misaligned with human values, posing severe risks to users and society. To mitigate these risks, current evaluation benchmarks predominantly employ expertdesigned contextual scenarios to assess how well LLMs align with human values. However, the labor-intensive nature of these benchmarks limits their test scope, hindering their ability to generalize to the extensive variety of open-world use cases and identify rare but crucial long-tail risks. Additionally, these static tests fail to adapt to the rapid evolution of LLMs, making it hard to evaluate timely alignment issues. To address these challenges, …

Question-Attentive Review-Level Explanation For Neural Rating Regression, Trung Hoang Le, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Recommendation explanations help to improve their acceptance by end users. Explanations come in many different forms. One that is of interest here is presenting an existing review of the recommended item as the explanation. The challenge is in selecting a suitable review, which is customarily addressed by assessing the relative importance or “attention” of each review to the recommendation objective. Our focus is improving review-level explanation by leveraging additional information in the form of questions and answers (QA). The proposed framework employs QA in an attention mechanism that aligns reviews to various QAs of an item and assesses their contribution …

Replay-And-Forget-Free Graph Class-Incremental Learning: A Task Profiling And Prompting Approach, Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu

Research Collection School Of Computing and Information Systems

Class-incremental learning (CIL) aims to continually learn a sequence of tasks, with each task consisting of a set of unique classes. Graph CIL (GCIL) follows the same setting but needs to deal with graph tasks (e.g., node classification in a graph). The key characteristic of CIL lies in the absence of task identifiers (IDs) during inference, which causes a significant challenge in separating classes from different tasks (i.e., inter-task class separation). Being able to accurately predict the task IDs can help address this issue, but it is a challenging problem. In this paper, we show theoretically that accurate task ID …

Generative Artificial Intelligence In Business Higher Education: A Focus Group Study, Xuenan Huo, Keng Siau

Research Collection School Of Computing and Information Systems

This research investigates the opportunities and challenges of integrating generative artificial intelligence (GenAI) into business higher education, drawing insights from an asynchronous focus group research study with doctoral students who serve dual roles as both learners and educators. Key opportunities identified through thematic analysis include knowledge acquisition, intelligent co-ideation, supportive augmentation, and personalized learning. Challenges identified include AI trustworthiness, cognitive dependency, human value, policy and instruction, assessment integrity, and identity management. This study clarifies GenAI’s specific role in business education and provides practical insights for effectively integrating GenAI to enhance learning outcomes and address emerging challenges. An analysis theory on …

Safety Through Feedback In Constrained Rl, Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri

Research Collection School Of Computing and Information Systems

In safety-critical RL settings, the inclusion of an additional cost function is often favoured over the arduous task of modifying the reward function to ensure the agent's safe behaviour. However, designing or evaluating such a cost function can be prohibitively expensive. For instance, in the domain of self-driving, designing a cost function that encompasses all unsafe behaviours (e.g., aggressive lane changes, risky overtakes) is inherently complex, it must also consider all the actors present in the scene making it expensive to evaluate. In such scenarios, the cost function can be learned from feedback collected offline in between training rounds. This …

Converting Vocal Performances Into Sheet Music Leveraging Large Language Models, Jinjing Jiang, Nicole Teo, Haibo Pen, Seng-Beng Ho, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Advanced natural language processing (NLP) models are increasingly applied in music composition and performance, particularly for generating vocal melodies and simulating singing voices. While NLP techniques have been effective in analyzing vocal performance data to assess quality and style, the automatic transcription of vocal performances into sheet music remains a significant challenge. Manual transcription tools often fall short due to the intricate dynamics of vocal expression. This study tackles the automation of vocal performance transcription into sheet music using innovative techniques, including large language models (LLMs). We propose a method to translate vocal audio input into display-ready sheet music effectively. …

Esg Ratings In The Mining Industry: Factors And Implications, Mahelet G. Fikru, Jennifer Brodmann, Lili Eng, J. Andrew Grant

Economics Faculty Research & Creative Works

While previous research explores the relationship between ESG ratings, firm size, and financial outcomes, there is a lack of comprehensive analysis comparing multiple ESG ratings within the mining industry. This gap is crucial given the increasing focus on ESG in mining operations and its potential impact on company performance. Based on proprietary financial and ESG ratings data from 200 mining companies, this study investigates the relationship between two different ESG ratings and firm characteristics. We compare ESG-rated firms with unrated firms in terms of firm size, and financial performance indicators, and explore country-level patterns in ESG ratings. Findings reveal that …

A Strategic Insight Into The Market For Carbon Management Capacity, Mahelet G. Fikru, Ting Shen, Jennifer Brodmann, Hongyan Ma

Economics Faculty Research & Creative Works

This study presents the market for carbon management capacity via carbon capture, utilization, and storage technologies, identifying demand and supply forces, as well as clarifying the potential impact of market and non-market-based shocks on technology developers versus adopters. The paper addresses a prevailing gap in market analysis, introducing a microeconomic framework and unique dataset to identify key players, market forces, and policy incentives shaping the carbon capture, utilization, and storage landscape. The analysis equips industry stakeholders, policymakers, and investors with valuable insights regarding (1) leaders in the design, development, and manufacture of carbon capture, utilization, and storage technologies (supply), (2) …

Development Of Uranium Fluoride Microstructures, Harry Jang

UNLV Theses, Dissertations, Professional Papers, and Capstones

Uranium microstructured materials with controlled size and shape have found applications in several branches of the nuclear industry including as targets for medical isotopes production, fuels for nuclear reactors, standards for analytical measurements, and energy sources for space exploration. Morphological studies of actinide materials are also highly relevant to nuclear forensics-related work. Other potential applications include information storage, catalysis, sensors, and luminescent devices. Most studies on uranium microstructured materials have focused on binary oxides, nitrides, carbides, and fluorides, with the spherical shape being the dominant morphology. Prior to the work reported in this dissertation, aside from UF4 microspheres (ms) and …

How Culture Impacts Mental Health Help-Seeking Behaviors In College-Aged Chinese Americans, Hui Ching Chan

UNLV Theses, Dissertations, Professional Papers, and Capstones

Adolescents are the most vulnerable to mental health issues in the United States, however, they are the least likely to receive relevant professional services. Particularly, young Chinese American adults who are influenced by traditional Chinese culture retain a higher reluctance to mental health-related help-seeking behaviors.

Chinese American culture is co-constructed with families through parents’ worldviews, parenting styles, socio-economic statuses, and English proficiency. Several studies also suggest that mothers and fathers in Chinese American families play distinct roles in shaping youngsters’ perceptions of mental health awareness. As a result, the culture perceived from families has a significant impact on young Chinese …

Investigation Ionic Polymer Metal Composite Capacitors Through Fabrication, Experimentation, And Modeling, Liya S. Napollion

UNLV Theses, Dissertations, Professional Papers, and Capstones

The increasing demand for greater energy storage capacity alongside the need to minimize the size of various devices, such as hybrid electric vehicles, medical devices, and pulsed power systems—has highlighted the necessity for advanced polymer film capacitors with high energy density. While traditional batteries and electronic devices have generally sufficed for many applications, their inherent size limitations hinder their ability to deliver the high levels of peak power required for certain demanding applications. This shortfall highlights the critical ongoing challenge within the energy storage sector to improve technology and more effectively meet these growing power requirements. Flexible Ionic Polymer Metal …

Fast Neutron & Gamma-Ray Scintillation And Broadband Photoluminescence From Gallium Nitride & Gallium Oxide: Developing Radiation-Hard Diagnostic Platforms, Daniel Jesus Valdes

UNLV Theses, Dissertations, Professional Papers, and Capstones

Integrated scintillation and electronics processing materials are of critical importance in environments exposed to high levels of radiation, such as nuclear fusion diagnostics and space missions. This dissertation focuses on the radiation detection capabilities of gallium oxide (Ga2O3) and gallium nitride (GaN), exploring their responses to fast neutrons and gamma rays. Using high-energy neutron beam facilities at Los Alamos Neutron Science Center (LANSCE) Flight Path 4FP60R, we exposed both Ga2O3 and GaN crystals to neutron irradiation spanning an energy spectrum ranging from 1 to 400 MeV. A Pi-Max 4 fast-gated Intensified CCD (ICCD) camera captured the transient scintillation responses for …

From Resistance To Host Response: An Integrative Study Of C. Difficile Infections, Amber Consul

UNLV Theses, Dissertations, Professional Papers, and Capstones

Clostridioides difficile infection (CDI) is a major healthcare challenge, causing severe gastrointestinal illness and significant mortality. Understanding the mechanisms of antibiotic resistance, epidemiology, and immune response in CDI is critical for developing effective treatments and prevention strategies.

This dissertation encompasses three complementary studies. The first study investigates the genetic mechanisms underlying cephalosporin resistance in C. difficile strain 630 through differential gene expression analysis. The second study provides a descriptive epidemiological analysis of C. difficile ribotypes in a Las Vegas patient population, highlighting differences between healthcare-associated (HA-CDI) and community-associated (CA-CDI) cases. The third study integrates serum analyte profiling and transcriptomic analysis …

The Effects Of A Healthcare Simulation Escape Room On Clinical Judgment: A Randomized Controlled Trial, Jennifer Peltier

UNLV Theses, Dissertations, Professional Papers, and Capstones

Background: The predominant pedagogy of traditional lecture-based learning should include meaningful active content to foster clinical judgment, engagement, and knowledge retention. Innovative active learning strategies must be tested to understand if they can better facilitate nursing learners’ readiness for practice.

Aims: This research study investigated the impact of a healthcare simulation escape room as an innovative platform on individual and team clinical judgment to determine whether this active learning strategy can benefit nursing learners’ preparedness and increase clinical judgment.

Method: A randomized, double-blinded, waitlist control design was used to examine the effect of a healthcare simulation escape room on clinical …

Predictors In Help-Seeking Intentions For Friends With Eating Disorders, Allie M. Robb

Honors Theses

Emotional intelligence is a significant factor in one’s well-being as high emotional intelligence predicts sound mental well-being and a better quality of life as one can accurately understand emotions (Kulkarni & Velhal, 2023). However, low emotional intelligence has also been found to be a predictor not only of the development of mental health disorders but also have the lowest intentions to seek help (Ciarrochi et. al., 2002; Kulkarni & Velhal, 2023). Because they are unlikely to seek help, it is important for others who see the potential cause to help intervene. The purpose of this study is to investigate the …

Examining Primary Teachers' Concerns, Self-Efficacy, Attitudes, Intentions, And Challenges Of Implementing Inclusive Pedagogy In English Literacy Classrooms For Bilingual Dyslexic Students In The Uae, Robin Ogdol, Jose Roan Adorna, Romee Capate, Aisha Alteneiji

All Works

The United Arab Emirates has embraced inclusive education across all academic levels since 2006. However, the degree of teacher acceptance of inclusive practice varies. This mixed-methods case study investigated 48 primary school teachers’ concerns, self-efficacy, attitudes, and intentions regarding inclusive pedagogy in English literacy for bilingual dyslexic students aged 5-11. It also identified challenges faced by teachers in mainstream classes. Using correlation analysis, results showed negative associations between teachers’ concerns and efficacy, attitudes, and intentions for inclusive practices. On the other hand, positive associations were found between teacher efficacy, attitude, and intentions for inclusive practices. Challenges included reconciling the bilingual …

Recovering Constitutional Identity In Colonial South India: Sedition, Sovereignty, And Small-C Constitutionalism In Pudukkottai, Bharath Gururagavendran

National Law School Journal

Constitutional identity is easiest to identify when it has already been credentialed: by a constitutional text, constituent authorisation, or judicial recognition. What remains visible when those markers are absent? Through a historically grounded study of the ‘Little Kingdom’ of Pudukkottai, a princely state in colonial South India, this article examines whether constitutional identity can be recovered from the small-c life of a polity whose opportunities for formal constitution-making were structurally foreclosed. Pudukkottai had no big-C moment. Its constitutional life, if it had one, must be reconstructed from less authoritative materials. The article argues that the absence of a constitutional text …

Factors Impeding Mental Health Help-Seeking: A Literature Review, Justin Benner

University Honors Theses

This article is an examination and review of a selection of research articles published in relation to factors that serve as barriers that inhibit the mental health help seeking process. Untreated mental illness is a significant problem within the United States, with a reported more than half of adults within the United States not receiving treatment. In order to discover possible causes, 28 articles all released within the last 20 years, had a primary focus on barriers to mental health treatment seeking and featured adult populations within the United States were chosen. Findings where that stigma both serves as a …

The Role Of Christianity In Shaping Agrarian Policies And Environmental Interactions: A Comparative Analysis Of The Uk And The Netherlands, Grace N. Brimble

University Honors Theses

This thesis explores the enduring influence of Protestant Christianity on agrarian practices and environmental policies in the UK and the Netherlands, focusing on how historical religious values shape modern ecological and political landscapes. Despite increasing secularism, Protestant ethics--emphasising stewardship, diligence, and moral responsibility--persist culturally, influencing debates on sustainability, rural identity, and land use. Using case studies such as nitrogen policy protests in the Netherlands and post-Brexit agricultural transitions in the UK, this analysis highlights the symbolic role of Christian values in framing resistance and adaptation to contemporary challenges. The research combines discourse analysis and ethnographic perspectives to uncover the interplay …

What Is The Evidence? Updates In The Use Of Antenatal Corticosteroids For Patients At Risk Of Preterm Birth, Moti Gulersen, Cynthia Gyamfi-Bannerman

Department of Obstetrics and Gynecology Faculty Papers

Antenatal corticosteroids have long been considered one of the most important antenatal therapies available for pregnant patients at risk of preterm birth based on the associated reduction of neonatal morbidity and mortality following their administration. However, despite decades of research since their incorporation into routine clinical practice, a number of key questions related to antenatal corticosteroid use remain. These include evaluating the impact of antenatal corticosteroids at gestational ages outside of the previously recommended window of 24 0/7–33 6/7 weeks of gestation, determining factors associated with optimal steroid timing in order to reduce unnecessary exposure, alterations in its dosing regimen, …

Knowledge, Attitudes, And Behaviors Regarding Water Quality, Nitrate Contamination, And Related Health Issues Among Nebraska Healthcare Professionals, Jessenia Hincapie

Capstone Experience: Master of Public Health

Background: Nitrate contamination in drinking water is a public health concern, particularly in agricultural regions. Healthcare professionals often address water quality issues but may lack sufficient knowledge regarding the health effects of nitrate contamination. This study evaluates whether Nebraska healthcare professionals' knowledge and attitudes about nitrate contamination predict their behaviors in addressing this issue.

Methods: A survey was administered to healthcare professionals across Nebraska to assess their knowledge, attitudes, and behaviors regarding nitrate contamination in drinking water. A total of 462 respondents participated. Generalized linear regression analysis was employed to assess the impact of knowledge and attitudes regarding nitrate contamination …

A Girls Guide To Study Abroad, Emily Childress

Human Development and Family Sciences Undergraduate Honors Theses

This thesis, titled "A Girl’s Guide to Study Abroad," explores the multifaceted experiences of female students in international study programs through an autoethnographic lens. The research draws on my personal experiences during a semester abroad with the American Institute for Foreign Study (AIFS) in Italy. To document and analyze the diverse challenges, adaptations, and growth I encountered, I utilized the Diarium app to capture daily notes encompassing personal reflections, logistical hurdles, and emotional insights. These reflections were subsequently analyzed through thematic analysis using the Braun and Clarke method in NVivo 12 software to identify emergent themes categorized as positive, challenging, …

Northeastern United States Urban High Schools’ Preparation Of Black Student-Athletes Seeking Initial Academic Eligibility In Ncaa Divisions I And Ii Institutions: A Phenomenological Analysis, Olinka Crusoe

Education Doctoral

This phenological study explored a total of 11 participants who were employed as either high school principals, guidance counselors, or athletic directors by Northeastern United States urban school districts. The participants were interviewed regarding their knowledge of the NCAA initial academic eligibility standards for Divisions I and II student-athletes and the support they provided to prepare their Black student-athletes to succeed academically in high school and throughout college. The findings revealed significant organizational knowledge gaps regarding NCAA requirements, with only one school aligning its course programming to with NCAA standards while the other schools focused primarily on local graduation requirements. …

Preventing Depression In Grandparents Raising Grandchildren: An Educational Video Series, Sabrina Casares

Student Capstone Papers

This paper presents a doctoral capstone project that created and implemented a self-help occupation-based educational video series to prevent and manage depression among grandparent caregivers. It consists of a literature review regarding the impact of depression on grandparent caregivers, the population’s barriers and statistics relating to the correlation of developing depression as a grandparent caregiver. It includes the process to create the video series including review of the literature and the development process. Texas Grandparents Raising Grandchildren (TXGRG) is a non-profit organization dedicated to providing resources and support to empower and advocate for grandparent caregivers. Problem: There is a lack …

Oceano Dunes Community Survey Results, Michele Romolini, Eric G. Strauss, Marni Goldenberg, Keri Schwab

Center for Urban Resilience Reports

This report presents the findings of a 42-question survey conducted by Loyola Marymount University and Cal Poly San Luis Obispo from June 2023-May 2024 among visitors and local residents regarding their perceptions and experiences at California’s Oceano Dunes State Vehicular Recreation Area (SVRA). The survey aimed to gather insights into visitor and community demographics, frequency and types of use, barriers to use, environmental awareness and perceptions of use, and familiarity with park opportunities. In particular, we sought to seek responses from communities local to the parks, especially from the community of Oceano itself, and Latino and Hispanic community members. In …