Digital Commons Network^™

A Holistic Case Study On Leaders In The Division Of Enrollment Services’ Experiences Implementing Interdepartmental Partnerships In Higher Education, Christopher A. Almond

Doctoral Dissertations and Projects

The purpose of this holistic case study was to understand the experiences of higher education leaders in the division of enrollment services at a public research university who experienced departmental realignments or mergers because of performance-based funding initiatives. The study addresses the gap in the literature on the effect of change on interpersonal relationships in higher education. The theory guiding the study is Tierney’s theory on organizational behavior among college employees. The research methodology consisted of three phases. I conducted focus groups, individual interviews, and document analyses. The setting was a large research university in an urban city. There were …

Exploring Teachers' Experiences Developing Adaptive Learning Systems With High-Stakes Testing Requirements: A Transcendental Phenomenological Study, Brian J. Le Fevre

Doctoral Dissertations and Projects

The theory that guided this study was Bandura’s self-efficacy theory, which was utilized to relate to teachers’ beliefs about engaging in behaviors influenced by high-stakes testing. A transcendental methodology was used for the study design as the study aimed to explore teachers’ shared experiences while bracketing my previous experiences. The sample population consisted of second- to sixth-grade teachers who instructed subjects who were assessed by high-stakes testing in the Southeastern United States. Data was collected using interviews, focus groups, and journal prompt responses. Following data collection, the data was coded and analyzed to develop the essence of the shared experiences …

The Effects Of Micromanagement Behavior On Employee Turnover Intention In Hybrid And Remote Work Environments, Christopher S. Mendoza

Doctoral Dissertations and Projects

The existing literature extensively documents the prevalence of micromanagement in traditional organizational structures. However, there is a notable gap in research regarding its impact on daily operations within non-traditional work environments, such as hybrid and remote settings. The purpose of this study was to examine the relationship between micromanagement and turnover intention in these evolving workplace models. A sample of 25 participants who had experienced micromanagement in hybrid and remote work environments was selected for this study, with no additional selection criteria imposed. Findings indicated that 24 participants experienced declines in morale, directly contributing to increased turnover intention. Furthermore, financial …

The Role Of Mindset In The Academic Resilience Of Non-Residential Health Profession Students: A Phenomenological Study, Julie Lynn Branagan

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of academic resilience of non-residential healthcare students in rural regions of the Northeast United States. The theoretical framework guiding this study was Carol Dweck's theory on growth mindset, as it exposed the relationship of personal perspective on academic resiliency. This study attempted to answer the central research question: What are the lived experiences of academic resilience among non-residential health profession students? An extensive review of the literature revealed the compounding aspects of resilience research with specific attention to health profession students. Data collection methods included a letter-writing …

Political Threads In Legal Tapestry: A Computational Analysis Of Executive Branch Legal Interpretation, 1934–2022, Reilly S. Steel

Faculty Scholarship

How does the push and pull between law and politics shape the work of executive branch lawyers charged with providing “neutral” interpretations of the law? To shed light on this longstanding question, this Article undertakes the first large-scale computational analysis of legal interpretation in the executive branch of the United States federal government. Using a new dataset comprised of the texts of 12,879 pages of opinions issued by the Office of Legal Counsel (OLC) in the Department of Justice (DOJ), I use machine learning methods to explore markers of partisanship and ideology in these high-profile executive branch decisions.

Several important …

Melanaphis Sacchari/Sorghi Complex: Current Status, Challenges And Integrated Strategies For Managing The Invasive Sap-Feeding Insect Pest Of Sorghum, Alejandro Vasquez, Joseph Belsky, Neetu Khanal, Heena Puri, Devi Balakrishnan, Neelendra K. Joshi, Joe Louis, Glenn Studebaker, Rupesh Kariyat

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Biology)

Melanaphis sacchari (Zehntner;Hemiptera: Aphididae), sugarcane aphid (SCA), is an invasive phloem-feeder found worldwide with a wide host range of economically important plants including sorghum and sugarcane. Given its high reproductive capacity and ability to rapidly spread over long distances, SCA presents challenges for effective control, leading to substantial economic losses. Recent studies have identified two multiloci SCA genotypes specialized in feeding on sugarcane (MLL-D) and sorghum (MLL-F) in the USA, which raises concerns as the USA is the second largest sorghum-producing country. This has encouraged research towards identifying these two biotypes where some research has stated them as two species; …

Reuben Hersh's What Is Mathematics, Really? (Book Review), Calvin Jongsma

Faculty Work Comprehensive List

Reuben Hersh’s 1997 book What is Mathematics, Really? popularized a trend in the philosophy of mathematics that was gaining some traction at the time it was written. This essay examines Hersh’s work within the broader historical context of 19th- and 20th-century developments in mathematics and philosophy of mathematics. It also focuses on Hersh’s antagonism toward the influence of religion on (philosophy of) mathematics, concluding by briefly considering two positions taken by Christian mathematicians associated with ACMS in defense of such a connection.

Setting Up Students For Success: Analysis Of Effectiveness For Mathematics Placement, Jeff Carvell, Jason N.E. Ho, Dave Klanderman, Sarah Klanderman

Faculty Work Comprehensive List

How do we effectively and equitably place students into math classes in a way that provides them the best chance of success? As many higher education institutions veer away from placement based on standardized testing, many departments are seeking placement alternatives that will properly support students. Additionally, math placement determines not only a student’s mathematics courses but also influences their progress in related fields, including physics, chemistry, engineering, and more. This paper will describe three different existing placement systems at each of our liberal arts institutions as well as the affordances and constraints of each approach. Further, we analyze data …

Longitudinal Analysis Of Foodborne Disease Outbreaks In Saudi Arabia: Trends And Demographic Patterns (2017-2023), Hissah A. Alzahrani

Saudi Medical Journal

ABSTRACT Objectives: To explore the long-term patterns of foodborne disease outbreaks (FBDOs) in Saudi Arabia between 2017-2023 using longitudinal data analysis models. Methods: A 7-year longitudinal study was carried out on FBDO data from all 13 regions of Saudi Arabia. This study examined 5 outcomes: the number of FBDOs, FBDO cases, and FBDO cases classified by gender, nationality, and age groups. The analysis used generalized estimating equations and generalized linear mixed models based on a negative binomial distribution. Results: The findings revealed a significant decrease in FBDO counts and cases from 2017-2020, followed by an increase until 2023. Public sources …

Assessing Chatgpt's Capability As A New Age Standardized Patient: Qualitative Study, Joseph Cross, Tarron Kayalackakom, Raymond E. Robinson, Andrea Vaughans, Roopa Sebastian, Ricardo Hood, Courtney Lewis, Sumanth Devaraju, Prasanna Honnavar, Nikhilesh Anand

School of Medicine Publications

Background: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intelligence (AI), particularly with large language models such as ChatGPT, present new opportunities for virtual SPs, potentially addressing these limitations.

Objectives: This study aims to assess medical students' perceptions and experiences of using ChatGPT as an SP and to evaluate ChatGPT's effectiveness in performing as a virtual SP in a medical school setting.

Methods: This qualitative study, approved by the American University of Antigua Institutional Review Board, involved 9 …

Digital Twins, Synthetic Patient Data, And In-Silico Trials: Can They Empower Paediatric Clinical Trials?, Mohan Pammi, Prakesh S Shah, Liu K Yang, Joseph Hagan, Nima Aghaeepour, Josef Neu

Faculty, Staff and Students Publications

Randomised controlled trials are the gold standard to assess the effectiveness and safety of clinical interventions; however, many paediatric trials are discontinued early due to challenges in patient enrolment. Hence, most paediatric clinical trials suffer from lack of adequate power. Additionally, trials are expensive and might expose patients to unproven therapies. Alternatives to overcome these issues using virtual patient data—namely, digital twins, synthetic patient data, and in-silico trials—are now possible due to rapid advances in digital health-care tools and interventions. However, such digital innovations have been rarely used in paediatric trials. In this Viewpoint, we propose using virtual patient data …

Early Prediction Of Mortality And Morbidities In Vlbw Preterm Neonates Using Machine Learning, Chi-Hung Shu, Rema Zebda, Camilo Espinosa, Jonathan Reiss, Anne Debuyserie, Kristina Reber, Nima Aghaeepour, Mohan Pammi

Faculty, Staff and Students Publications

Background: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.

Hypothesis: Integrating key maternal and postnatal infant variables in the first 2 weeks of age into machine learning (ML) algorithms will reliably predict survival and specific morbidities in VLBW preterm infants.

Methods: ML algorithms were developed to integrate 47 features for predicting mortality, bronchopulmonary dysplasia (BPD), neonatal sepsis, necrotizing enterocolitis (NEC), intraventricular hemorrhage (IVH), cystic periventricular leukomalacia (PVL), and retinopathy of prematurity (ROP). A retrospective cohort (n = 3341) was used to train and validate the models with a repeated 10-fold cross-validation …

Greening Intelligence: Why Ai Infrastructure And Governance Must Evolve Together, Heng Wang, Poh Seng Lee

Research Collection Yong Pung How School Of Law

AI infrastructure is evolving faster than the regulation and governance needed to ensure it serves public and planetary interests.

Revolutionizing Higher Ed: Ai’S Impact On Faculty And Pedagogy, George Antoniou, David G. Wolf, Ellen Ramsey, Matteo Peroni, Saidi Porta, Philip L. Fazio, Kristen Migliano

Faculty and Staff Publications & Presentations

No abstract provided.

A Hierarchical Soft Computational Model For Optimizing Agricultural Uavs: Recruiting Neutrosophic Theory And Tree Soft Sets, Mona Mohamed, Nurhan Alaa, Bilal Arain, Karam M. Sallam

Neutrosophic Systems with Applications

Precision agriculture is being transformed by Unmanned Aerial Vehicles (UAVs), which make it possible for yield optimization, targeted spraying, and sophisticated crop monitoring. With an emphasis on their operational capabilities, economic feasibility, and environmental implications, this research explores the revolutionary potential of UAV technology in contemporary farming systems. Practically speaking, the procedure of opting UAVs for agricultural applications is complicated by several competing aspects, inherent uncertainties, and differing stakeholder agendas. This paper suggests a new hybrid decision framework that combines Tree Soft Sets (TrSS), Neutrosophic theory, and Multi-Criteria Decision-Making (MCDM) to methodically handle these issues. Hence, the robust hybrid model …

Triple-Valued Neutrosophic Set, Quadruple-Valued Neutrosophic Set, Quintuple-Valued Neutrosophic Set, And Double-Valued Indetermsoft Set, Takaaki Fujita

Neutrosophic Systems with Applications

Concepts such as Fuzzy Sets, Neutrosophic Sets, Rough Sets, and Plithogenic Sets have been extensively studied to address uncertainty, finding diverse applications across various fields. A Double-Valued Neutrosophic Set (DVNS) extends traditional neutrosophic sets by introducing two distinct indeterminacy components: one leaning towards truth and the other towards falsity. In this paper, we explore Triple-Valued Neutrosophic Sets, Quadruple-Valued Neutrosophic Sets, and Quintuple-Valued Neutrosophic Sets, as well as an extension of the Indetermsoft Set, termed the Double-Valued Indetermsoft Set. Note that related concepts such as the Multi-Valued Neutrosophic Set and the n-Valued Refined Neutrosophic Set have already been established.

Single Valued Neutrosophic Hypersoft Set Based On Merec-Moosra Mcdm Methods For Evolution Of Sustainable Strategies For The Circular Supply Chain Based On The Beverage Industry, Alaa Salem, Rayan Hussein, Ahmed Abdelmouty, Mohamed Abouhawwash

Neutrosophic Systems with Applications

Corporate enterprises around the world are facing increasing pressure to operate sustainably due to rising environmental concerns such as climate change, resource scarcity, and ecological degradation. In response, circular supply chain (CSC) practices have emerged as a promising solution, especially within the manufacturing and beverage sectors. CSC focuses on reusing materials, minimizing waste, and creating value from products that have reached the end of their lifecycle. This study investigates the challenges and opportunities of applying circular supply chain management (CSCM) in the beverage industry, which is known for generating significant waste due to high production volumes. The research identifies key …

Recommendations For Design, Execution, And Reporting Of Studies On Experimental Thoracic Aortopathy In Preclinical Models, Alan Daugherty, Dianna M Milewicz, David A Dichek, Ketan B Ghaghada, Jay D Humphrey, Scott A Lemaire, Yanming Li, Ziad Mallat, Yvan Saeys, Hisashi Sawada, Ying H Shen, Toru Suzuki, Zhen Zhou

Faculty, Staff and Students Publications

There is a recent dramatic increase in research on thoracic aortic diseases that includes aneurysms, dissections, and rupture. Experimental studies predominantly use mice in which aortopathy is induced by chemical interventions, genetic manipulations, or both. Many parameters should be deliberated in experimental design in concert with multiple considerations when providing dimensional data and characterization of aortic tissues. The purpose of this review is to provide recommendations on guidance in (1) the selection of a mouse model and experimental conditions for the study, (2) parameters for standardizing detection and measurements of aortic diseases, (3) meaningful interpretation of characteristics of diseased aortic …

Trust And Success: Franchisee Perspective On Relational Trust With The Franchisor And Impact On Unit Growth, Giovannie M. Hoff

Electronic Theses and Dissertations

Abstract

The problem addressed in this study was that it is unknown how franchisees perceive trust and its influence on unit growth and contractual control within the franchisor and franchisee relationship. The purpose of this case study was to explore the franchisee’s perspective of trust within the franchisor and franchisee relationship and its impact on growth and contractual control. A qualitative case study approach was used, with data collected from 13 participants from one franchise organization in the United States through semistructured interviews and questionnaire. Data were transcribed, coded, and analyzed thematically, with triangulation and member-checking ensuring credibility. Two key …

Non-Esl High School Teachers’ Instructional Training And Professional Development Needs And Their Emergent Bilingual Student Classrooms, Brynn Erin Caddell

Electronic Theses and Dissertations

The U.S. emergent bilingual student population continues to grow and is projected to increase nationwide. The growing population of students has specific academic and social needs that need to be addressed and provided for emergent bilingual students to be successful. This qualitative case study examined the instructional needs of high school non-English as a second language (ESL) teachers who serve emergent bilingual students and how the district can support the instructional practices of high school teachers in an urban school district in Texas. The problem addressed in this study was the lack of instructional training and professional development for secondary …

Supporting Novice Programmers With Scaffolded And Open-Ended Generative Ai Interfaces: Insights From A Design-Based Research Study, Justin Olmanson, Azadeh Hassani, Gretchen K. Larsen

Department of Teaching, Learning, and Teacher Education: Faculty Publications

In this study, we explore student experiences in coding and learning programming with scaffolded and unscaffolded generative AI interfaces. Specifically, we supported higher education students in using ChatGPT, an open ended interface for interacting with generative AI; and Giuseppe, a specialized interface with an OpenAI backend service that offers personalized supports specifically for helping students overcome early-stage challenges in learning to code, and working on education technology prototyping projects. This study contributes to the field by offering design insights for scaffolding initial learning interactions between generative AI interfaces and novice programmers. Our findings suggest that those new to coding welcome …

Learning Educational Technology Prototyping With Generative Ai, Justin Olmanson, Azadeh Hassani, Gretchen K. Larsen

Department of Teaching, Learning, and Teacher Education: Faculty Publications

In this study, we use ethnographic methods, grounded theory, and an iterative analytical approach to explore participant experiences and strategies for engaging generative AI in support of both learning how to prototype educational technologies and learning to code. We examine how ChatGPT and Giuseppe (a scaffolded co-coding interface of our own design) influence students’ approaches to prototyping and programming. This study contributes to the field by: identifying specific challenges and affordances of generative AI in prototyping and educational technology development contexts; and offering insights into how educators, students, and learning technology developers can integrate generative AI in formative educational technology …

Generating Training Events For Building Cyber-Physical Security Skills, Avanthika Vineetha Harish, Kimberly Tam, Kevin Jones

School of Engineering, Computing and Mathematics

As the threat of cyber attacks increases, the cyber security sector continues to train professionals as one form of mitigation. Gamification and infrastructure like cyber ranges have been proven useful in training cyber security specialists to detect and react to cyber-attacks in information technology. However, a subset of all digital threats target cyber-physical systems, not just information systems, and these threats have been growing rapidly in recent years. While those threats are increasing, training specific to cyber-physical threats is not growing as quickly as information technology training solutions. While cyber ranges are useful for training and supporting events like cyber …

The Impact Of Dwell Time On The Contextual Effect Of Visual And Passive Lead-In Movements, Laura Alvarez-Hidalgo, David W. Franklin, Ian S. Howard

School of Engineering, Computing and Mathematics

Contextual cues arising from distinct movements are crucial in shaping control strategies for human movement. Here, we examine the impact of visual and passive lead-in movement cues on unimanual motor learning, focusing on the influence of “dwell time,” where two-part movements are separated by the interval between the end of the first movement and the start of the second. We used a robotic manipulandum to implement a point-to-point interference task with switching opposing viscous curl fields in male and female human participants. Consistent with prior research, in both visual and passive lead-in conditions, participants showed significant adaptation to opposing dynamics …

A Herpetofaunal Inventory Study Of Two National Wildlife Refuges In The Mississippi Delta And Associated Evaluation Of Trapping Efficacy, Andrew Holzinger

Master's Theses

The objectives of this project were to record the diversity and distribution of amphibian and reptile species present at Panther Swamp and Hillside National Wildlife Refuges (NWR) and to quantify trapping efficacy as a result of various methodologies under different habitat variables. The primary methods employed were two varieties of drift fence trap arrays consisting of 100-foot sections of silt fencing with buried 2.5-gallon buckets as pitfall traps and box traps placed at the end of each fence to capture larger organisms. When conditions permitted, aquatic trapping was also employed across the Refuges. A total of 55 species were documented, …

Brain Morphometry In Infants Later Diagnosed With Autism Is Related To Later Language Skills, Luke E Moraglia, Kelly N Botteron, Natasha Marrus, Et Al.

2020-Current year OA Pubs

Autism spectrum disorder (ASD) presents early in life with distinct social and language differences. This study explores the association between infant brain morphometry and language abilities using an infant-sibling design. Participants included infants who had an older sibling with autism (high likelihood, HL) who were later diagnosed with autism (HL-ASD; n = 31) and two non-autistic control groups: HL-Neg (HL infants not diagnosed with autism; n = 126) and LL-Neg (typically developing infants who did not have an older sibling with autism; n = 77). Using a whole-brain approach, we measured cortical thickness and surface area at 6 and 12 …

Crises In Australian Education, The Push For Educational Technology And The Medium-Oriented Perspective Of Neil Postman, Andrew Hutcheon

Research outputs 2022 to 2026

From teacher shortages to declining literacy, the Australian education system faces multiple crises. This paper turns to the work of Neil Postman, who started as a high school teacher but later turned towards communication and media studies, to provide an alternative account of parts of this crisis, especially those around the role of technology in education. In his early works, his concern is attached to the concept of education as a ‘subversive concept’ and then a ‘conserving concept’ – first aiming to create young people engaged in civic society, then aiming to preserve written culture against television. After a middle …

Ecological Specialisation Of Reef Fishes Peaks In Global Biodiversity Hotspots, Zoé Delecambre, Renato A. Morais, Alexandre C. Siqueira, Emma Paul Costesec, Caroline E. Dubé, Sergio R. Floeter, Alan M. Friedlander, Fabien Leprieur, Yves Letourneur, Lucas T. Nunes, Jordan M. Casey, Valeriano Parravicini

Research outputs 2022 to 2026

Aim: The role of ecological specialisation in shaping biogeographic and evolutionary patterns remains unresolved. To date, few studies have quantitatively examined consumer niche breadth at a global scale. We describe global biogeographic and diversification patterns of specialisation, measured using trophic and thermal niches, for a highly diverse assemblage of consumers: reef fishes. First, we investigated the confluence of specialisation with global biogeographic patterns in species richness and reef area. Then, we tested whether these patterns could be explained by differences in diversification rates and geographic ranges. Location: Tropical reefs across the globe. Time Period: Present. Major Taxa Studied: Reef fishes. …

Empowering Optimal Operations With Renewable Energy Solutions For Grid Connected Merredin Wa Mining Sector, Md Ohirul Qays, Ravi Kumar, Minhaz Ahmed, Stefan Lachowicz, Uzma Amin

Research outputs 2022 to 2026

Mining sectors require a continuous and reliable power supply; however, reliance on traditional grid utilities results in high costs and disruptions and increases extreme carbon emission. The Merredin WA sector seeks to resolve critical energy challenges affecting mining operations in Western Australia. Thus, this research proposes an optimal solar PV system with battery storage and backup generation for the mining sector to ensure a stable and cost-effective power supply that reduces harmful environmental effect. A hybrid data-driven long short-term memory (LSTM)-classical optimization framework is designed here, thereby optimizing PV-battery storage operational cost savings and energy usage. The optimization results indicate …

Using Natural Language Processing And Machine Learning To Detect Online Radicalisation In The Maldivian Language, Dhivehi, Hussain Ibrahim, Ahmed Ibrahim, Michael N. Johnstone

Research outputs 2022 to 2026

Early detection of online radical content is important for intelligence services to combat radicalisation and terrorism. The motivation for this research was the lack of language tools in the detection of radicalisation in the Maldivian language, Dhivehi. This research applied Machine Learning and Natural Language Processing (NLP) to detect online radicalisation content in Dhivehi, with the incorporation of domain-specific knowledge. The research used Machine Learning to evaluate the most effective technique for detection of radicalisation text in Dhivehi and used interviews with Subject Matter Experts and self-deradicalised individuals to validate the results, add contextual information and improve recognition accuracy. The …