Digital Commons Network^™

Multi-Relation Extraction Via A Global-Local Graph Convolutional Network, Harry Cheng, Lizi Liao, Linmei Hu, Liqiang Nie

Research Collection School Of Computing and Information Systems

Relation extraction (RE) extracts the semantic relations among entities in a sentence, which converts the unstructured text into structured and easy-to-understand information. Although RE has been studied over decades, it still faces two kinds of research challenges that are not well addressed thus far: 1) joint consideration of the global sentence structure and the local entity interaction, and 2) effective solution to the overlapping triplets within the same sentence. To tackle these issues, in this paper, we present globallocal graph-based convolutional network towards multi-relation extraction, GAME for short. In particular, we devise two layers of graph convolutional network (GCN) with …

Prompting For Multimodal Hateful Meme Classification, Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang

Research Collection School Of Computing and Information Systems

Hateful meme classification is a challenging multimodal task that requires complex reasoning and contextual background knowledge. Ideally, we could leverage an explicit external knowledge base to supplement contextual and cultural information in hateful memes. However, there is no known explicit external knowledge base that could provide such hate speech contextual information. To address this gap, we propose PromptHate, a simple yet effective prompt-based model that prompts pre-trained language models (PLMs) for hateful meme classification. Specifically, we construct simple prompts and provide a few in-context examples to exploit the implicit knowledge in the pretrained RoBERTa language model for hateful meme classification. …

Opportunities And Challenges In Code Search Tools, Chao Liu, Xin Xia, David Lo, Cuiying Gao, Xiaohu Yang, John Grundy

Research Collection School Of Computing and Information Systems

Code search is a core software engineering task. Effective code search tools can help developers substantially improve their software development efficiency and effectiveness. In recent years, many code search studies have leveraged different techniques, such as deep learning and information retrieval approaches, to retrieve expected code from a large-scale codebase. However, there is a lack of a comprehensive comparative summary of existing code search approaches. To understand the research trends in existing code search studies, we systematically reviewed 81 relevant studies. We investigated the publication trends of code search studies, analyzed key components, such as codebase, query, and modeling technique …

An Efficient Annealing-Assisted Differential Evolution For Multi-Parameter Adaptive Latent Factor Analysis, Qing Li, Guansong Pang, Mingsheng Shang

Research Collection School Of Computing and Information Systems

A high-dimensional and incomplete (HDI) matrix is a typical representation of big data. However, advanced HDI data analysis models tend to have many extra parameters. Manual tuning of these parameters, generally adopting the empirical knowledge, unavoidably leads to additional overhead. Although variable adaptive mechanisms have been proposed, they cannot balance the exploration and exploitation with early convergence. Moreover, learning such multi-parameters brings high computational time, thereby suffering gross accuracy especially when solving a bilinear problem like conducting the commonly used latent factor analysis (LFA) on an HDI matrix. Herein, an efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis …

A Logistic Regression And Linear Programming Approach For Multi-Skill Staffing Optimization In Call Centers, Thuy Anh Ta, Tien Mai, Fabian Bastin, Pierre L'Ecuyer

Research Collection School Of Computing and Information Systems

We study a staffing optimization problem in multi-skill call centers. The objective is to minimize the total cost of agents under some quality of service (QoS) constraints. The key challenge lies in the fact that the QoS functions have no closed-form and need to be approximated by simulation. In this paper we propose a new way to approximate the QoS functions by logistic functions and design a new algorithm that combines logistic regression, cut generations and logistic-based local search to efficiently find good staffing solutions. We report computational results using examples up to 65 call types and 89 agent groups …

Beer: Fast O(1/T) Rate For Decentralized Nonconvex Optimization With Communication Compression, Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtarik, Yuejie Chi

Research Collection School Of Computing and Information Systems

Communication efficiency has been widely recognized as the bottleneck for large-scale decentralized machine learning applications in multi-agent or federated environments. To tackle the communication bottleneck, there have been many efforts to design communication-compressed algorithms for decentralized nonconvex optimization, where the clients are only allowed to communicate a small amount of quantized information (aka bits) with their neighbors over a predefined graph topology. Despite significant efforts, the state-of-the-art algorithm in the nonconvex setting still suffers from a slower rate of convergence $O((G/T)^{2/3})$ compared with their uncompressed counterpart, where $G$ measures the data heterogeneity across different clients, and $T$ is the number …

Post-Translational Modifications And Age-Related Hearing Loss, Parveen Bazard, Jennifer Pineros, Alejandro A. Acosta, Mark Thivierge, Lauren R. Paganella, Samuel Zucker, Freyda L. Mannering, Shrikar Modukuri, Xiaoxia Zhu, Robert D. Frisina, Bo Ding

Chemical and Biochemical Engineering Faculty Research & Creative Works

Post-translational modifications (PTMs) affect nearly all systems of the human body due to their role in protein synthesis and functionality. These reversible and irreversible modifications control the structure, localization, activity, and properties of proteins. For this reason, PTMs are essential in regulating cellular processes and maintaining homeostasis. Diseases such as Alzheimer's, cardiovascular disease, diabetes, cancer, and many others have been linked to dysfunctions of PTMs. Recent research has also shown that irregularities in PTMs can be linked to hearing loss, including age-related hearing loss (ARHL) – the number one communication disorder and one of the top neurodegenerative diseases in our …

Developing A Hands-On Class Exercise For Modular Construction, 3d Design, And 4d Schedule, Kyle A. Kithas

UNLV Theses, Dissertations, Professional Papers, and Capstones

Modular construction shows promise as a viable alternative to stick-built construction. A major challenge with the widespread adoption of modular construction is the construction industry’s focus on minimizing risk and defaulting to the comfort and familiarity of stick-built construction. This pattern can be broken through an educational paradigm shift in the way architecture, engineering, and construction are taught in school. Integrating modular construction education into higher education is presented to increase the future adoption of modular construction and expand the comfort zones of future industry leaders. This thesis proposes that current curriculum be augmented to teach the modular approach in …

The Metabolic Change Of Lipid Species In Stam Mice With Hepatocellular Carcinoma, Devin J. Peart

UNLV Theses, Dissertations, Professional Papers, and Capstones

Primary liver cancer hepatocellular carcinoma (HCC) is the second leading cause of cancer death worldwide. In the US, primary liver cancer is the most rapidly increasing type of cancer due to increases in hepatitis B and C and the continued trend of greater and greater percentages of the population suffering from obesity, diabetes mellitus and metabolic syndrome. The prognosis for this disease is poor, with a 5-year survival rate of 26% as compared to only 2% when the cancer is metastatic. Unfortunately, current strategies for early detection of HCC, including routine CT imaging or alpha-fetoprotein biomarker, are suboptimal and tend …

Covid-19 Vaccine Acceptance Behavior Among Hispanics/Latinxs In Nevada: A Theory-Based Analysis, Tara Marie Naoe Tacderan Wong Nerida

UNLV Theses, Dissertations, Professional Papers, and Capstones

The COVID-19 pandemic has impacted many lives around the world, leaving negative repercussions including health effects, economic downturns, and social and physical restrictions. The pandemic has also revealed many disproportionate health impacts on vulnerable populations, especially among the Hispanic and Latinx populations. The use of the three COVID-19 vaccines in the United States has presented a form of protection against additional negative impacts. However, hesitancy toward the COVID-19 vaccine has hindered its rapid uptake, preventing the country from reaching herd immunity and ultimately ending the pandemic. Current research is minimal in understanding the intentions of receiving the COVID-19 vaccine among …

Violin Performance Influences Of Fritz Kreisler, Walter Daniel White

UNLV Theses, Dissertations, Professional Papers, and Capstones

This study explores elements contained or implied in the question of what can the modern performer of violin literature learn and apply from the life, creative output, and career of Fritz Kreisler, a successful performer and composer of a past era. It is now the twenty-first century, and Fritz Kreisler, who lived from the final quarter of the nineteenth century beyond the first half of the twentieth century continues as a name widely recognized and associated with excellence in violin performance. His name is legendary among violinists, and he left a lasting legacy in the compositions that he created for …

What Can General Chemistry Students Learn From External Representations Of Acid- Base Titrations?, Nicole Baldwin

UNLV Theses, Dissertations, Professional Papers, and Capstones

Laboratory activities are a prevalent and essential part of chemistry learning because of their potential to help students develop problem solving abilities, visualize chemistry concepts learned in lecture, and gain practical skills. However, learning in the laboratory environment is not without its challenges. For example, cookbook-style chemistry laboratories can promote superficial learning, and cognitive overload can result from the study of new concepts and the use of new procedures in this environment. Multiple pedagogies and supports have been developed to address challenges such as these. The current research focuses upon external representations that are commonly used to support learning in …

Mga Impluwensiyang Kros-Lingguwistik Sa Panggitnang Wika Ng Mga Hapones, Koreano, At Tsinong Mag-Aaral Ng Wikang Filipino, Ronel O. Laranjo

Katipunan

Sa pagtuturo ng wikang Filipino sa mga unibersidad sa loob at labas ng bansa, mapapansin mula sa mga obserbasyon ng mga Pilipino at banyagang guro at mananaliksik na may mga feature ng gramar ng Filipino ang mahirap ituro sa mga mag-aaral, kaya naman hirap din ang mga estudyante sa pagreprodyus ng mga ito. Nagbibigay ng bagong perspektiba ang pananaliksik na ito sa pamamagitan ng pagtutok naman sa mismong proseso ng pagkatuto at pagtamo ng Filipino bilang ikalawang wika. Isa sa mga pamamalagay sa larangan ng Second Language Acquisition o Pagtamo ng Ikalawang Wika ang Teoryang Interlanguage o Panggitnang Wika, kung …

Literate Change Agents Working In Oral Communities: Navigating Paradigm Shifts, Regina Marie Manley

Boise State University Theses and Dissertations

This research documents the experience of 12 local leaders implementing an oral curriculum over 13 months in Karnataka, India. These leaders were Change Agents interested in influencing a community with new information. They created audio materials referred to as “content” in their group’s mother tongue: In a Kannada-Telegu mix for the Madiga group (a Scheduled Caste); in Vaagri Booli for the Hakkipikki group (a Scheduled Tribe); and in Kannada for the Kannadiga group. The first two languages are unwritten. The Kannada language is the official language of Karnataka state. The oral curriculum followed the Spoken Worldwide® model. Each team of …

Hate Speech Detection Using Textual And User Features, Rohan Raut

Boise State University Theses and Dissertations

Social media platforms provide users with a powerful platform to share their ideas. Using one’s right to expression to incite hatred toward a particular group of people is inappropriate. However, hate speech is pervasive in our society. Spreading hate through online social networks like Facebook, Twitter, Tiktok, and Instagram is commonplace in today’s milieu. One such case is the unprecedented COVID-19 pandemic, which engendered anti-Asian hate.

In current literature, there is limited study on using user features in conjunction with textual features to detect hate. This thesis aims to combine textual features with user features to improve the state-of-the-art hate …

Soc Reconfigurable Architecture For Software-Trained Neural Networks On Fpga, Michael Wasef

Boise State University Theses and Dissertations

Neural networks are extensively used in software and hardware applications. In hardware applications, it is necessary to implement a small, accelerated, and configurable hardware architecture to be easily embedded in hardware devices to implement and execute the required neural network with superior performance. Such configurable hardware architecture allows the user to implement neural networks with different structures and easily modify or change them as needed.

In this dissertation, three architectures, each containing three layers, have been designed using a system-on-chip approach and implemented on a Field Programmable Gate Array (FPGA), to realize and accelerate the performance of three types of …

Interacting With A Chatbot-Based Advising System: Understanding The Effect Of Chatbot Personality And User Gender On Behavior, Mohammad Amin Kuhail, Justin Thomas, Salwa Alramlawi, Syed Jawad Hussain Shah, Erik Thornquist

All Works

Chatbots with personality have been shown to affect engagement and user subjective satisfaction. Yet, the design of most chatbots focuses on functionality and accuracy rather than an interpersonal communication style. Existing studies on personality-imbued chatbots have mostly assessed the effect of chatbot personality on user preference and satisfaction. However, the influence of chatbot personality on behavioral qualities, such as users’ trust, engagement, and perceived authenticity of the chatbots, is largely unexplored. To bridge this gap, this study contributes: (1) A detailed design of a personality-imbued chatbot used in academic advising. (2) Empirical findings of an experiment with students who interacted …

Clinical And Economic Evaluation Of A Proteomic Biomarker Preterm Birth Risk Predictor: Cost-Effectiveness Modeling Of Prenatal Interventions Applied To Predicted Higher-Risk Pregnancies Within A Large And Diverse Cohort, Julja Burchard, Glenn R Markenson, George R Saade, Louise C Laurent, Kent D Heyborne, Dean V Coonrod, Corina N Schoen, Jason K. Baxter, David M Haas, Sherri A Longo, Scott A Sullivan, Sarahn M Wheeler, Leonardo M Pereira, Kim A Boggess, Angela F Hawk, Amy H Crockett, Ryan Treacy, Angela C Fox, Ashoka D Polpitiya, Tracey C Fleischer, Thomas J Garite, J Jay Boniface, John A F Zupancic, Gregory C Critchfield, Paul E Kearney

Department of Obstetrics and Gynecology Faculty Papers

Objectives: Preterm birth occurs in more than 10% of U.S. births and is the leading cause of U.S. neonatal deaths, with estimated annual costs exceeding $25 billion USD. Using real-world data, we modeled the potential clinical and economic utility of a prematurity-reduction program comprising screening in a racially and ethnically diverse population with a validated proteomic biomarker risk predictor, followed by case management with or without pharmacological treatment.

Methods: The ACCORDANT microsimulation model used individual patient data from a prespecified, randomly selected sub-cohort (N = 847) of a multicenter, observational study of U.S. subjects receiving standard obstetric care with …

Integrating Media Literacy Into General Education Core Courses For Undergraduates, Christen Embry

Dissertations

This study aimed to understand the essential nature of media literacy, evaluate pre-developed higher education classes for existing media literacy context, and recommend best practices for incorporating media literacy into an undergraduate curriculum. This mixed-methods study of media literacy in undergraduate college courses explored the presence and absence of media literacy lessons within core classes by auditing 15 online course shells accessed through the university’s Learning Management System (LMS). Specifically, all the courses surveyed included the first skill of media literacy, Access; 33% of the classes included Analyze; 27% included Creation; 20% included Reflection; and 20% included Action. Once the …

Survey For Usage Of And Interest In Personalized Nutrition As A Possible Health Approach, Kimberly Garrett

Biological Sciences Undergraduate Honors Theses

Dietary factors can lead to chronic diseases and impact certain health factors such as sleep and mood. Personalized nutrition is based on an individual’s phenotype and genotype to meet specific dietary needs. This approach could be an intervention to benefit an individual’s health. This study surveyed a population to analyze the population’s view on and usage of personalized nutrition. The use of personalized nutrition was minimal, but there was interest within the population. In addition, a relationship between health and mood was found. However, the sample size was a limiting factor for this study. Future directions could include studying why …

A Comparative Study Of Graph Search Algorithms For Planar Manipulator To Avoid Obstacle Collision, Mustafa Laith Muhammed, Amjad Jaleel, Enas Hassan Flaieh

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The search algorithms are characterized by their ability to find the optimal path in a short calculation time. In this study, a comparative analysis has been conducted to perform path planning of planar manipulator for static obstacle avoidance based on graph search algorithms. Four methods have been taken into account to establish a comparison platform; namely, conventional A*, modified A*, Chaos A*, and circulation heuristic search (CHS) algorithms. The performance of comparison is evaluated in terms of length of optimal path and consumption time of calculation. All algorithms have been coded and simulated within the MATLAB software environment. According to …

Process Evaluation Of A Community Asset Mapping Protocol For Diabetes Prevention And Management, Andrea Peterson

Capstone Experience: Master of Public Health

Prediabetes and type 2 diabetes mellitus (DM) are highly prevalent conditions with new diagnoses occurring each year (Centers for Disease Control and Prevention, 2022a). Type 2 DM negatively impacts many aspects of life, to include social, financial, cultural, and everyday living. Asset mapping is a useful tool to build upon existing resources to help community members identify and expand services based on understanding the interconnected systems that influence type 2 DM prevention, screening, education, and care management. An Asset Mapping Protocol was created and piloted through a rural community coalition in Nebraska. The protocol includes an activity for community stakeholders …

Identifying & Addressing Barriers To Child Care For Formerly Incarcerated Mothers, Joanne Bird

Capstone Experience: Master of Public Health

As women’s incarceration rates have risen significantly in recent decades, gender-specific programs are needed to meet the needs of formerly incarcerated mothers (FIM). Although child care can be difficult to access for many families, this marginalized population faces unique obstacles to accessing child care. In order for FIM to be employed and reintegrate, they must be able to access child care; however, FIM experience unique barriers to securing child care services. This policy brief aims to identify the special considerations FIM face, as well as to explore why existing programs are not meeting their specific needs. A literature review was …

Impact Of Coalition Building To Promote Maternal Infant Health Equity In The District Of Columbia, Maryland, And Virginia, Sydney J. Turner

Capstone Experience: Master of Public Health

The health of women and babies is critical to creating a healthy world. Stratified data shows the overwhelming rates at which Blacks are affected more than Whites. Literature has shown that leveraging partnerships and community engagement are critical components of decision-making and can positively impact the health of communities. Through a direct observational study, the Community Coalition Action Theory was used to analyze the current structure of the March of Dimes Maternal Infant Healthy Equity Coalition. The study aimed to identify strengths and gaps and subsequently provide recommendations to advance the coalition work and promote maternal and infant health equity …

The Importance Of Intentional Outdoor Play Spaces For Young Children, Reagan G. Bernskoetter

Human Development and Family Sciences Undergraduate Honors Theses

The purpose of this study was to observe outdoor play in infants and toddlers and examine their traffic patterns throughout the play space as well as their interests in the areas. It was hypothesized that the more intention and careful consideration that goes into planning the play space, the more the children would want to interact with that space rather than other areas. There were 58 participants recruited from a childcare center in a large mid-south community to play and interact with play spaces as well as the educators and peers to learn more about specific interests and patterns associated …

Il-1Β Enhances Cell Viability And Decreases 5-Fu Sensitivity In Novel Colon Cancer Cell Lines Derived From African American Patients, Marzia Spagnardi, Jenny Paredes, Jovanny Zabaleta, Jone Garai, Tiana Reyes, Laura A. Martello, Jennie L. Williams

School of Medicine Faculty Publications

Background: In the U.S., African Americans (AAs) present with the highest incidence and mortality rates for Colorectal Cancer (CRC). When compared to Caucasian American (CA) patients, AAs also have reduced response to the first line standard of care chemotherapeutic agent 5-Fluorouracil (5-FU). Previously, we observed differential gene expression between the two populations, suggesting that colon tumors from AA patients display a decreased antitumor immune response and an increased expression of genes encoding proteins involved in inflammatory processes, such as Interleukin-1β (IL-1β). Here, we investigate the role of IL-1β in modifying chemotherapeutic response and altering expression of proteins in novel AA …

Clinical Advantages Of Immediate Posterior Implants With Custom Healing Abutments: Up To 8-Year Follow-Up Of 115 Cases, Richard Akin, Andrew G. Chapple

School of Dentistry Faculty Publications

Purpose: Proper management of the soft tissues around dental implants is crucial to their long-term function and esthetics. The purpose of this article is to report the survival rate of immediate posterior implants when using an immediate chair-side technique for custom healing abutments. Materials and Methods: The investigator implemented a retrospective case series analysis of a sample of 115 consecutive patients with 1 posterior dental implant placed between February 1, 2012 and December 9, 2014, in the author's private practice who underwent the previously published technique for immediate custom chair-side healing abutment fabrication. In this descriptive analysis, the primary outcome …

Implementing Screening For Depression And Anxiety For Patients With Thyroid Disease, Sarah Maria Drake

Doctor of Nursing Practice

Background: Thyroid dysfunctions are the most common endocrine-specific disorders found in the clinic setting. Symptoms of hypothyroidism/hyperthyroidism overlap with anxiety/depression symptoms. Research shows a relationship between individuals with thyroid disorders and people with anxiety/depression. Mental health disorders are typically managed in the primary care setting. However, screening for depression and anxiety are low in primary care settings and often go unidentified. Purpose: To implement validated, evidence-based depression and anxiety screening tools in a Texas endocrine clinic to improve the management of patients with concomitant thyroid and mental health disorders. Objectives: The project objectives include initiating screening for anxiety/depression and referral …

The Lived Educational Experiences Of Student Clinicians With Non-Apparent Disabilities In Communication Sciences And Disorders: Perspectives Of Recent Graduates On The Current Culture Of Inclusion, Leslie A. Grubler

Education Doctoral

The purpose of this study was to examine retrospectively the lived educational experiences of 10 former student clinicians with non-apparent disabilities as they navigated their graduate clinical education programs in communication sciences and disorders. The goal of this study was to gain insight into the culture of inclusion using a qualitative research design. As a first study on this topic in the discipline of communication sciences and disorders, a descriptive phenomenological approach was utilized to ascertain and explore the participants’ individual experiences. Semi-structured interviews were employed as the primary method to collect, code, and analyze the data. A mosaic of …

Community College Success: Reexamining Metrics Of Success Through A Cohort Cluster Analysis Of Student Stakeholders, Abigail D. Baird

Education Doctoral

Community college success is measured by graduation rates. This metric of success does not account for the diverse types of students attending community colleges and all the outcomes that result. The purpose of this quantitative cohort cluster analysis is to analyze course taking behavior, and outcomes of various student stakeholders, to better understand the students and how successful community colleges are. Using archival student enrollment data, the study focused on a relatively recent cohort of students enrolled at community colleges in New York State for the first time in fall 2014. The five clusters were identified as: minimally committed, high …