Digital Commons Network^™

Aeroelastic Phenomena Of Fixed-Wing Aircraft In Transonic And Supersonic Flows Using A Tightly-Coupled Computational Approach, John C. Havenar

College of Graduate Studies: Theses & Dissertations

Aeroelastic phenomena encountered during flight have considerable effects on the aerodynamic characteristics of fixed-wing aircraft. Transonic aeroelastic phenomena are often characterized by unique flow features which have complex ramifications for aircraft in transonic flight. Computational study of high-speed aeroelastic phenomena requires a fully-coupled aeroelastic algorithm. A series of wing designs are studied with a computational finite volume method solver accompanied by a finite element method solver for the calculation of structural deformation. The computational model for the flow field is validated with experimental data. Modeled flight conditions include transonic flows with bordering subsonic and supersonic cases included for completeness. The …

So Much Courage: Hemingway, War, And Rape, Tracie Nicolai

College of Graduate Studies: Theses & Dissertations

Weaving together Ernest Hemingway’s biography and literature with her own life, Tracie Nicolai analyzes the impact of Hemingway’s life and literature in the classroom and outside of it. War trauma is analyzed in relation to rape and its lasting effects, paralleling the impacts and the traumas that shape our philosophies and our lives. Nicolai explores how Hemingway wrote of war and his own injuries, and she discusses the distance evident between his own life experiences and his subsequent fiction writings. In separate vignettes in each chapter, Nicolai writes of her experience as a rape survivor and the lasting impact on …

A Muse In A Minefield: Poets, Pedagogy, And The Practice Of Liberation, Fran Dundore

College of Graduate Studies: Theses & Dissertations

In this poetic inquiry I share my experiences as a public educator within the contexts of aesthetics, identity, and power. Reflecting and inquiring poetically on nearly thirty years of public practice and leadership, I consider my personal experiences and conversations with current teachers and call them into action to speak up about the ramifications of this current political climate on their curriculum and their pedagogy. I focus on the works of poets and theorists such as Oliver (1986, 1992, 1998 & 2011), Whitman (1855, 1892), Hughes (1951) Counts (1932), Rosenblatt (1978 &1995), Freire (1970, 1974 & 1978), and Greene (1973, …

Can We Talk About Sex? Exploring Teacher Preparedness Of Comprehensive Sex Education Delivery In Southeast Georgia, Tanya Jules

College of Graduate Studies: Theses & Dissertations

In 2022, the CDC estimated that youth and adolescents between the ages of 15 through 24 accounted for almost half of the 2.5 million cases of sexually transmitted infections in the United States. Teachers who deliver accurate sexual health information increase the accessibility of pertinent details to adolescents during crucial years of cognitive development, which could decrease adverse sexual health outcomes among youth. The utilization of a Comprehensive Sex Education (CSE) curriculum addresses all parts of sexual health by covering topics ranging from physical, biological, emotional, and social aspects of sexuality. However, educators who provide sexual health education must follow …

Detecting Bearing Race Defects With Inductive Magnetic Reluctance Sensors And Artificial Neural Networks, Collin Daly

College of Graduate Studies: Theses & Dissertations

This work proposes a method of detecting physical damage to bearing races in a rotational assembly by means of magnetic reluctance sensors generating a signal from a rotating gear-tooth wheel. A nominally sinusoidal signal is generated based on the rotation of a gearwheel with regularly spaced voids and lands. Detection is based on the time variance of the signal periodically in relation to the gearwheel and the bearing damage. The purpose of this work is to propose a process to detect and classify bearing race defects using existing sensors and neural networks for hazardous area equipment applications.

Empowering Urban Traffic Management: Elevated 3d Lidar For Data Collection And Advanced Object Detection Analysis, Nawfal Guefrachi, Hakim Ghazzai, Ahmad Alsharoa

Electrical and Computer Engineering Faculty Research & Creative Works

The 3D object detection capabilities in urban environments have been enormously improved by recent developments in Light Detection and Range (LiDAR) technology. This paper presents a novel framework that transforms the detection and analysis of 3D objects in traffic scenarios by utilizing the power of elevated LiDAR sensors. We are presenting our methodology's remarkable capacity to collect complex 3D point cloud data, which allows us to accurately and in detail capture the dynamics of urban traffic. Due to the limitation in obtaining real-world traffic datasets, we utilize the simulator to generate 3D point cloud for specific scenarios. To support our …

Impact Of Ai On The Hri Dynamic In Search And Rescue Operations Using Uav Swarms, Jordan Morrow, Maciej Jan Zawodniok, Anhar Sami Mohammed

Electrical and Computer Engineering Faculty Research & Creative Works

Artificial intelligence (AI) offers significant benefits in search and rescue applications by enhancing the efficiency and effectiveness of the search. However, an over-reliance on AI can hinder the operation due to biases embedded in the underlying algorithms. This partiality, if left un-monitored, can pose a risk to the safety of those in need of disaster relief. Typically manifests into inaccuracies in the decision-making processes and if not carefully monitored can cause larger issues. This paper extends the knowledge presented in a previous work, which presents the design and modeling of search and rescue operations using unmanned aerial vehicle (UAV) swarms. …

Membrane Potential Hyperpolarization: A Critical Factor In Acrosomal Exocytosis And Fertilization In Sperm Within The Female Reproductive Tract, Paula A Balestrini, Valeria Sulzyk, Martina Jabloñski, Liza J Schiavi-Ehrenhaus, Soledad N González, Juan J Ferreira, Matías D Gómez-Elías, Pablo Pomata, Guillermina M Luque, Dario Krapf, Patricia S Cuasnicu, Celia M Santi, Mariano G Buffone

2020-Current year OA Pubs

Hyperpolarization of the membrane potential (Em), a phenomenon regulated by SLO3 channels, stands as a central feature in sperm capacitation-a crucial process conferring upon sperm the ability to fertilize the oocyte.

A Wavegan Approach For Mmwave-Based Fanet Topology Optimization, Enas Odat, Hakim Ghazzai, Ahmad Alsharoa

Electrical and Computer Engineering Faculty Research & Creative Works

The integration of dynamic Flying Ad hoc Networks (FANETs) and millimeter Wave (mmWave) technology can offer a promising solution for numerous data-intensive applications, as it enables the establishment of a robust flying infrastructure with significant data transmission capabilities. However, to enable effective mmWave communication within this dynamic network, it is essential to precisely align the steerable antennas mounted on Unmanned Aerial Vehicles (UAVs) with their corresponding peer units. Therefore, it is important to design a novel approach that can quickly determine an optimized alignment and network topology. In this paper, we propose a Generative Adversarial Network (GAN)-based approach, called WaveGAN, …

Controller Area Network With Flexible Data Rate (Can Fd) Eye Diagram Prediction, Junyong Park, Manho Lee, Shinyoung Park, Jonghoon Kim, Joungho Kim, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

A method for predicting the eye diagram for a controller area network with a flexible data rate (CAN FD) is proposed in this article. A CAN FD changes a data rate according to the status to overcome the limitation of latency. In other words, when data to be transmitted are accumulated, the CAN FD increases the data rate up to 5 Mb/s. The CAN FD has a bus topology consisting of multiple electronic control units, which results in a significant amount of signal reflection. Thus, the above causes the signal integrity analysis uncertain. To avoid this, this article proposes a …

Meta-Icvi: Ensemble Validity Metrics For Concise Labeling Of Correct, Under- Or Over-Partitioning In Streaming Clustering, Niklas M. Melton, Sasha Petrenko, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

Understanding the performance and validity of clustering algorithms is both challenging and crucial, particularly when clustering must be done online. Until recently, most validation methods have relied on batch calculation and have required considerable human expertise in their interpretation. Improving real-time performance and interpretability of cluster validation, therefore, continues to be an important theme in unsupervised learning. Building upon previous work on incremental cluster validity indices (iCVIs), this paper introduces the Meta- iCVI as a tool for explainable and concise labeling of partition quality in online clustering. Leveraging a time-series classifier and data-fusion techniques, the Meta- iCVI combines the outputs …

A Compact And High-Efficiency Antenna Design For Tire Pressure Monitoring System Applications, Lei Deng, Lidong Chi, Francesco De Paulis, Yihong Qi

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes a novel design for a compact antenna that exhibits high efficiency and low interference and is suitable for tire pressure monitoring systems (TPMSs) based on Bluetooth communication interface at 2.4 GHz. Tires constitute a dissipative environment, where the efficiency of the TPMS is affected by both antenna losses and losses from the tire parts, both conductive and dielectric. This article conducts an analysis and simulation of the electromagnetic (EM) environment of the tire and identifies the optimal polarization and placement position for the TPMS antenna to minimize resonance losses of EM waves within the tire, enhance lateral …

Prompt, Accurate, And Noncontact Material Identification Using A Single Microwave Sensor With Machine Learning Analysis, Chen Zhu, Osamah Alsalman, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

In This Article, a Novel Approach to Microwave Sensors is Proposed and Demonstrated that Allows for Prompt, Accurate, and Noncontact Material Identification Even with Arbitrary Lift-Off Distances between the Sensor and the Material under Test (MUT). a Multilayer Perceptron (MLP) is Trained to Directly Learn the Relation of the Measured Reflection Spectra of a Homemade Open-Ended Coaxial Cable Resonator Probe with Respect to Different MUTs and Then Achieve One-To-One Mapping between a Measured Spectrum and the MUT. as a Proof-Of-Concept Demonstration, the Performance of the MLP Model is Tested using Easily Accessible Materials, Including Wood, Glass, Water, and Metal. Reflection …

Scat Dna As A Non-Invasive Method For Estimating The Abundance Of The Vulnerable Mala (Lagorchestes Hirsutus), Shannon Treloar, Cheryl Lohr, Anna J. Hopkins, Kym Ottewell, Shelley Mcarthur, Robert A. Davis

Research outputs 2022 to 2026

Context: Population-monitoring programs often use direct (e.g. live capture or spotlighting) or indirect (e.g. scats sightings) observations to estimate population abundance. Such methods, however, are often inadequate for rare, elusive, or cryptic species due to the difficulty in achieving sufficient encounters or detection rates. The mala (Lagorchestes hirsutus), a small native Australian macropod, listed as Vulnerable by the IUCN, is difficult to capture, susceptible to capture myopathy, and not easily sighted in their dense habitat; consequently, the population size cannot always be estimated. The use of molecular markers to identify individual genotypes from non-invasively collected samples is increasingly being used …

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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 …