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Eagle Accountant - 2024, Georgia Southern University

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Children And Young People’S Participation In Decision-Making Within Healthcare Organisations In New Zealand: An Integrative Review, Mandie Foster, Julie Blamires, Chris Moir, Virginia Jones, Jagamaya Shrestha-Ranjit, Brie Fenton, Annette Dickinson

Research outputs 2022 to 2026

There is a paucity of literature on children and young people’s participation in decision-making within healthcare organisations in New Zealand. This integrative review examined child self-reported peer-reviewed manuscripts and published guidelines, policy, reviews, expert opinion and legislation to explore how New Zealand children and young people participate in discussions and decision-making processes within healthcare settings and what are barriers and benefits to such participation. Four child self-reported peer-reviewed manuscripts and twelve expert opinion documents were retrieved from four electronic databases including academic, government and institutional websites. Inductive content thematic analysis generated one theme (a discourse in children and young people’s …

Fight-Pd: A Feasibility Study Of Periodized Boxing Training For Parkinson Disease, David J. Blacker, Raimondo Fazio, Claire Tucak, Phillip Beranek, Connor Pollard, Tegan Shelley, Sanathraj Rajandran, Georgina Holbeche, Mitchell Turner, Travis Cruickshank

Research outputs 2022 to 2026

Background: Boxing training has become a popular form of exercise for people with Parkinson disease (PD). There is a dearth of high-quality feasibility, safety, and efficacy data on boxing training for PD. Feasibility of Instituting Graduated High-intensity Training (FIGHT-PD) aimed to examine these features in a periodized boxing training program featuring high-intensity physical and cognitive demands. Objective: To conduct a feasibility study, aiming to address deficiencies in the current knowledge base and to provide data for future studies. Design: Single-arm, open-label feasibility. Setting: University department and medical research institute. Participants: Ten people with early stage PD without contraindications to intense …

Rna-Seq Data Derived Microsatellite Markers For Polymorphism Detection And Profiling Of Abaca (Musa Textilis Nee) And Selected Relatives, Cecilia Diana O. Calapit-Palao, Maria Genaleen Q. Diaz, Rita P. Laude, Merlyn S. Mendioro, Antonio G. Lalusin, Antonio C. Laurena

Journal Article

To facilitate abaca (Musa textilisNee) genotype screening, microsatellite markers developed from RNA-seq data of M. textilis cv. ‘Abuab’, M. balbisiana cv. ‘Pacol’, and ‘Abuab × Pacol’ backcross progenies were utilized. Through a modified bioinformatics pipeline for in silico SSR mining, an average of 4,611 non- redundant SSRs (94.95%) were retrieved. Trinucleotide SSRs (38.5%) were the most abundant, followed by dinucleotides (32.47%). A total of 15,305 primer pairs were designed from this study. Twenty-four polymorphic SSRs from a random set of 50 SSR markers selected for validation were successfully cross- amplified in different abaca genotypes. The average number of alleles per …

Faculty Handbook, Georgia Southern University

Faculty Handbooks

No abstract provided.

Dungeons And Dragons™ (D&D) As A Brief Intervention For College Students, Alexander W. Peralta

College of Graduate Studies: Theses & Dissertations

This quasi-experimental study investigated the effect of a table-top roleplaying game (ttrpg), specifically Dungeons and Dragons™ (D&D), on increasing feelings of social connection, decreasing perceived stress, increasing self-esteem and improving adjustment to college among first semester, first year students. participants signed up to either the D&D group or the comparison group. D&D participants (n = 18) attended five one-hour weekly D&D sessions, meanwhile the comparison group (n = 10) went through their first semester of college with no intervention, but completed the study measures at the same points in time as the D&D participants. All participants completed measures of social …

Accounting For Variability Due To Resampling Using Bootstrapping, Dipendra Phuyal

College of Graduate Studies: Theses & Dissertations

Bradley Efron (1979) introduced bootrapping. Typically a researcher is interested in studying a process which generates individuals. The collection of individuals the process has(actual) or could have (conceptual) generated is the population. The collection of conceptual members of the population is an uncountable collection. Hence, the population is anuncountable collection of individuals. The collection of individuals the process has generated (actual individuals) is representative of what the process can generate and will bereferred to as the representative sample. The size of this sample is a nonnegative integervalued random variable N which may be a constant random variable such as in …

Machine Learning Based Three-Limb Core-Type Transformer Core Aspect Ratios Identification, Ananta Bijoy Bhadra

College of Graduate Studies: Theses & Dissertations

Power transformers are considered one of the key elements of electric grids. Transient studies include transformer transient analysis which is required for the continuous power supply. However, to perform the transient analysis, the details of the internal structure of the transformer are required which are unobtainable and considered as confidential information. Therefore, the application of topological-based transformer models is limited although the models can accurately represent the transformers. To address this concern, a novel approach utilizing Machine Learning (ML) to identify the core aspect ratios of the three-limb core-type transformer is introduced. The proposed approach, using only the voltage and …

Enhancing College Students’ Eaccessibility In Higher Education: Transfer Students And Transfer Admissions Counselors' Perspectives, Sevinj Iskandarova, Margaret F. Sloan

Journal of Higher Education & Student Affairs

There is a paucity of research on institutional e-accessibility and transfer-credit-software adoption. This paucity poses a challenge in understanding how these technologies impact college students and professionals. Drawing on connectivism theory and Karp and Fletcher's (2014) and Kezar's (2013) three-way approaches (changing-in-advice, institutions, and students' willingness to use technology tools) investigate how technology product adoption affects students' and transfer admission counselors' experiences during the transfer process. This study, conducted at a public institution in the mid-east Atlantic region, utilized a convergent-parallel mixed-methods design to assess students' and professionals' perceptions of transfer credit evaluation products. Results indicate that an e-transfer system …

Predicting Retention, Progression, And Graduation Of First-Time Freshmen Students, Brynn L. Munro, Juliann Sergi Mcbrayer, Antonio P. Gutierrez De Blume, Pamela Wells

Journal of Higher Education & Student Affairs

Currently, roughly one third of college students fit the federal government’s definition of first-generation college student status, meaning that neither parent has earned a baccalaureate degree (RTI International, 2023). This study utilized archival data at an access institution in the southeastern United States in a causal comparative study using binary logistic regression analysis to determine if first-generation college student status, gender, socioeconomic status, and academic preparedness are predictors for six-year graduation rates. Findings from this quantitative study determined that gender, socioeconomic status, and academic preparedness were significant predictors for graduation within six years of matriculation at the institution. A future …

Asynchronous Movement Patterns Between Breeding And Stopover Locations In A Long-Distance Migratory Songbird, Theodore Zenzal, Andrea Contina, Hannah Vander Zanden, Leanne Kuwahara, Daniel Allen, Kristen Covino

Faculty Publications

The species-specific migratory patterns and strategies of many songbirds remain unknown or understudied, as research in animal ecology is biased toward the breeding period, with the fewest studies on the migratory period across taxa. Identifying large-scale spatiotemporal migratory patterns is challenging, as individuals within a species may vary in their migratory behavior and strategies. The Yellow Warbler (Setophaga petechia) is a Nearctic-Neotropical migrant that is relatively well studied during the breeding season, but its species-wide migratory patterns remain understudied. Our aim in studying Yellow Warbler movement ecology was to characterize temporal migration patterns during fall migration. We sought to determine …

Examining The Utility Of The Early Childhood Development Index (Ecdi) Among 3- To 4-Year-Olds In The Nigeria Context, Ngozi V. Enelamah, Smitha Rao, Margaret Lombe, Mansoo Yu, Chrisann Newransky, Melissa L. Villodas, Andrew Foell, Von Nebbitt

Faculty Publications

An estimated six million of over 31 million children under five years old are at risk of not reaching their full developmental potential in Nigeria. There is a need for culturally appropriate and context-specific measures to track child development and facilitate intervention planning. This study assessed the utility of the Early Childhood Development Index (ECDI), see Table 1, used in the 2016/2017 round of the Multiple Indicator Cluster Survey (MICS) to track development among 3- to 4-year-old children (n=11,073; 3-year-old, 51%; female, 49%).

Roundtable On Warhol V. Goldsmith: An Introduction To Warhol V. Goldsmith, Amy Adler, Lionel Bently, Susan Bielstein, Johanna Burton, Martha Buskirk, Noam M. Elcott, Jane Ginsburg, Branden W. Joseph, Joan Kee, Liz Linden, Rebecca Tushnet, Graeme Williams, Winnie Wong

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

A Comparative Multivariate Analysis Of Var And Deep Learning-Based Models For Forecasting Volatile Time Series Data, Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

Faculty Research, Scholarly, and Creative Activity

The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), Simple Exponential Smoothing (SES), deep learning models, and, most notably, univariate Long Short-Term Memory (LSTM) built based on univariate variable where the next lag of time series is leveraged for forecasting the next cycle of data. This paper takes this line of research to the next level by focusing on forecasting time series data based on “multivariate” modeling and analysis. To have a better insight of the performance of various deep learning-based models when multivariate …

Use Or Not: A Qualitative Study On The User Adoption And Abandonment Of Voice Shopping With Smart Speakers, Jiahe Lan, Yu Chen, Zheng Yan

Faculty Research, Scholarly, and Creative Activity

The recent advances in smart speakers impel the emergence and prevalence of voice shopping - placing orders on voice assistants. Previous work has studied user acceptance of voice shopping and the factors influencing users' experience of voice shopping. However, despite the growing interest in the use of voice shopping, little is known about the limited usage or abandonment of voice shopping. In this paper, we address this research gap through a qualitative study of 43 users of Tmall Genie, a smart speaker popular in China. We found that participants are willing to make low-involvement purchases via voice shopping. However, after …

Tracked Gulls Help Identify Potential Zones Of Interaction Between Whales And Shipping Traffic, Megan A. Cimino, Heather Welch, Jarrod A. Santora, David Kroodsma, Elliott L. Hazen, Steven J. Bograd, Pete Warzybok, Jaime Jahncke, Scott A. Shaffer

Faculty Research, Scholarly, and Creative Activity

Seabird-vessel interactions are often studied through the lens of fisheries bycatch, but seabirds encounter many watercraft types. Western Gulls Larus occidentalis breeding on the Farallon Islands (California, USA) have a foraging domain that encompasses both shipping lanes and productive fishing grounds, resulting in ample opportunities for vessel encounters. Previous research showed that these Western Gulls can serve as ecosystem indicators because their foraging behavior is linked to ocean prey conditions, and because their foraging grounds overlap with that of Humpback Whales Megaptera novaeangliae, which can make prey accessible. Because ship strikes and entanglement in fishing gear are concerns for whales …

Defect Detection And Closed-Loop Feedback Using Machine Learning For Fused Filament Fabrication, Amaris De La Rosa, Amir Armani, Marcia Golmohamadi

Faculty Research, Scholarly, and Creative Activity

The objective of this study was to develop a closed-loop system for a commercial fused filament fabrication printer based on visual machine learning inspection of common defects. Convolutional neural network was used to identify levels of common defects: stringing, over/under-extrusion, and weak infill. Transfer learning was used to adapt a pre-trained model to fit this problem, as it involves incrementally fine-tuning the model parameters to new data. The observation model achieved an accuracy of 92.86% on validation data set and 90.0% on the testing data set. By modifying the input G-code, the custom program could adjust the feed-rate, nozzle temperature, …

Eyes On Higher Education: Evaluating Web Usability In Kuwaiti Private Universities Using Eye-Tracking And Supr-Q Metrics, Reem Albaghli, Ayah Beidas, Nada Attar

Faculty Research, Scholarly, and Creative Activity

Website design and usability are critical factors that impact the effectiveness of a website, influencing both user attraction and retention. Understanding user preferences is essential for designers and researchers when optimizing user interfaces (UI) and user experiences (UX). This study addressed key research questions about usability by examining which design heuristics have the most impact on students’ interactions with private university websites in Kuwait. By assessing web design and usability across three private universities in Kuwait through specific tasks, we analyzed user experiences using eye-tracking data, task completion times, user inputs, and qualitative feedback from the Standardized User Experience Percentile …

Marine Protection And Environmental Forcing Influence Fish-Derived Nutrient Cycling In Kelp Forests, June Shrestha, Joseph R. Peters, Jennifer E. Caselle, Scott L. Hamilton

Faculty Research, Scholarly, and Creative Activity

Animal consumers excrete dissolved inorganic nitrogen, an essential nutrient for regulating primary production and macroalgal growth in the ocean. Often overlooked in attempts to explain kelp forest productivity, relatively little is known about the role of consumers in nutrient cycling in temperate systems, such as the magnitude of nutrients excreted and the factors that influence spatial and temporal variability in consumer-derived nutrients. To investigate the supply of ammonium (NH4+) excreted by the dominant members of the nearshore rocky reef fish community, we combined empirically-measured relationships between excretion rate and body mass with data on fish density and size structure from …

Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams

Faculty Research, Scholarly, and Creative Activity

Understanding timing and distribution of virus spread is critical to global commercial and wildlife biosecurity management. A highly pathogenic avian influenza virus (HPAIv) global panzootic, affecting 600 bird and mammal species globally and over 83 million birds across North America (December 2023), poses a serious global threat to animals and public health. We combined a large, long-term waterfowl GPS tracking dataset (16 species) with on-ground disease surveillance data (county-level HPAIv detections) to create a novel empirical model that evaluated spatiotemporal exposure and predicted future spread and potential arrival of HPAIv via GPS tracked migratory waterfowl through 2022. Our model was …

Next Steps For Assessing Ocean Iron Fertilization For Marine Carbon Dioxide Removal, Ken O. Buesseler, Daniele Bianchi, Fei Chai, Jay T. Cullen, Margaret Estapa, Nicholas Hawco, Seth John, Dennis J. Mcgillicuddy, Paul J. Morris, Sara Nawaz, Nishioka, Anh Pham, Kilaparti Ramakrishna, David A. Siegel, Sarah R. Smith, Deborah Steinberg, Kendra A. Turk-Kubo, Benjamin S. Twining, Romany M. Webb

Faculty Research, Scholarly, and Creative Activity

There are many potential approaches to marine carbon dioxide removal (mCDR), of which ocean iron fertilization (OIF) has the longest history of study. However, OIF studies to date were not primarily designed to quantify the durability of carbon (C) storage, nor how wise OIF might be as an mCDR approach. To quantify C sequestration, we introduce a metric called the “centennial tonne,” defined as 1,000 kg of C isolated from atmospheric contact for on average at least 100 years. We present the activities needed to assess OIF from a scientific and technological perspective, and additionally, how it might be responsibly …

Resume Content Generation Using Llama 2 With Adapters, Navaneeth Sai Nidadavolu, William B. Andreopoulos

Faculty Research, Scholarly, and Creative Activity

This paper presents a novel approach to enhancing the Llama language model for generating customized resumes tailored to domain-specific job descriptions. Unlike traditional methods that rely heavily on extensive fine-tuning, we implement scalable adapter modules to minimize parameter adjustments. This approach preserves the model's inherent ability to generate coherent and contextually appropriate language across diverse tasks, ensuring that its general linguistic capabilities remain intact. Additionally, we employ a prompting strategy to dynamically create a diverse and comprehensive dataset, ensuring high relevance to various job roles. Using a dataset of 10,000 job descriptions and resumes, our approach resulted in a 20% …

Selective Laser Melting And Mechanical Characterization Of Superalloys Made From Recycled Parts, Hugo Tupac-Yupanqui, Amir Armani

Faculty Research, Scholarly, and Creative Activity

Geometrically complex functional parts from recycled Inconel 718 were additively manufactured and characterized. Scrap parts were melted, recycled, and used in a new gas atomization process to produce the feedstock for a selective laser melting printer. Optimal print parameters were determined using finite element simulations. Standard test methods were employed to experimentally examine the properties of parts, including their density, anisotropic tensile behavior, chemical composition, and fracture surface. The results indicated that scrap Inconel 718 parts can be used to additively manufacture high-quality functional parts. As a case-study, an automotive turbocharger was resigned and additively manufactured based on the findings …

Student Understanding Of Divergence And Curl In Upper-Division Electromagnetism, J. Toby Stuckey, Gina M. Quan

Faculty Research, Scholarly, and Creative Activity

The purpose of this paper is to understand and characterize student thinking about the physics concepts of divergence and curl in the context of upper-division electromagnetism for physics majors. We interviewed five students at a west coast university who had taken at least one semester of upper-division electricity and magnetism. The interview prompted students to describe divergence and curl in multiple representations (visually, mathematically, qualitatively). Our analysis identified that students can notice but struggle to resolve discrepancies between the mathematical calculations and the graphical representations of vector fields. We illustrate examples of when students appear to have a disconnect between …

Study Of Using Variational Quantum Linear Solver For Solving Poisson Equation, Nithin Reddy Govindugari, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Quantum computing is promising in speeding up the system of linear equations (SLE) solving process. However, its performance is limited by noise. The variational quantum linear solver (VQLS) algorithm is expected to be more resilient to noise than gate-based quantum computing algorithms. This is because error correction is not available yet and VQLS is based on cost function minimization. In this paper, the gate insulator Poisson equation is solved using VQLS. The results are compared to technology computer-aided design (TCAD) results and gate-based quantum algorithm results. We show that, even without error-free qubits, the IBM-Q quantum computer hardware can solve …

Tcad Structure Input File Generation Using Large Language Model, Le Minh Long Nguyen, Albert Lu, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

In this paper, we study the possibility of using Large Language Models (LLMs) to create Technology Computer-Aided-Design (TCAD) structure generation input files. LLMs are machine learning models trained on vast amounts of text data from the Web and are designed to understand, generate, and interact with humans through natural languages such as English. However, unlike programming languages with abundant training examples on the Web, TCAD examples are scarce. In this work, by using TCAD Sentaurus Structure Editor (SSE) as an example, 7000 nanowire data are generated to fine-tune open-source models (Llama 2 and 3) to obtain chatbots that can generate …

Financial Literacy In The Era Of Artificial Intelligence. Towards Financial Inclusion. Opening Remarks, Łukasz Kurowski, Anna Szelągowska

Journal of Banking and Financial Economics

Financial Literacy in the Era of Artificial Intelligence. Towards Financial Inclusion. Opening Remarks

Euro-Denominated Credit Liquidity: Tracing Cyclical Phases In Global Finance, Mateusz Mariusz Mierzejewski

Journal of Banking and Financial Economics

In the past few years, set against the backdrop of pandemic mitigation efforts and the resultant inflationary spike, the macrofinancial landscape has undergone significant transformation. The tightening of monetary policy by global central banks in response to these phenomena has notably affected global financial liquidity, particularly within the realm of foreign currency lending. This article delves into the shifts in credit liquidity, centering on the Global Liquidity Index for euro-denominated loans across European Union nations over the last two decades. Through the application of the Fourier Transform, we analyse the cyclical patterns within the index and delineate the primary phases …

Betting On The Market: The Influence Of Match-Day Odds On Price Reactions Of European Football Clubs, Pascal Alterauge, Marc Mehlhorn

Journal of Banking and Financial Economics

This research investigates the relationship between football match outcomes, betting odds and the stock prices of publicly traded European football clubs, spanning from 11 February 2004 to 7 April 2022. Drawing data from 12 major European and publicly traded clubs, the study utilised betting odds as a key metric. These odds, aggregated from the Odds Portal, serve as a gauge for expected versus unexpected match outcomes. Preliminary findings showed a market value increase of 0.44% after a win and a decrease of 1.08% post-defeat. Moreover, deviations from betting odds predictions significantly influenced stock prices, with unexpected wins and losses resulting …

Optimal Empirical Strategy For Deriving The Spot Curve: The Case Of Poland, Piotr Bartkiewicz

Journal of Banking and Financial Economics

We use a proprietary dataset of daily quotations of individual bonds from the period 2005–2018 to assess the appropriateness of three common yield curve intrapolation methods: Nelson-Siegel (NS), Diebold-Li (DL) and cubic splines. Spot (zero-coupon) yield curves derived from the methods are used to price all securities in the sample in both in-sample and out-of-sample settings. The results highlight trade-offs inherent in any empirical strategy: between flexibility and in-sample fit, between overall fit and fit in particular segments of the curve. We look at both in-sample and out-of-sample. Cubic splines offer the best in-sample fit, but out-of-sample results indicate that …