Digital Commons Network^™

Identification Of Quality Indicators Of Visual Based Learning Material In Technology Education Programs For Grades 6th - 9th In Greek Schools In Cyclades Aegean Islands, Spyridoula Tsouganatou

STEMPS Theses & Dissertations

The purpose of this dissertation is to identify quality indicators for visual based learning material for technology education classes for grades 6th to 9th. This is a three round Delphi study aimed in answering the following research question. RQ: What are the quality indicators that contribute to the successful selection of visual-based learning material that contribute effectively to transmitting pedagogical information in a technology education classroom for grades 6^th -9^th? The quality indicators were determined by the consensus reached by technology education expert panel/educators that have been identified for the contributions and expertise in the field of …

Pulsed Electric Fields Sensitize Methicillin-Resistant Staphylococcus Aureus To Antibacterial Therapies And Stimulate Host Immune Responses, Alexandra E. Chittams-Miles

Biomedical Sciences Theses & Dissertations

This research explores the impact of nanosecond pulsed electric fields (nsPEF) on two fronts: their immune stimulatory effects and their potential as a novel strategy to enhance the sensitivity of Methicillin-resistant Staphylococcus aureus (MRSA) to clinically relevant antibiotics. While pulsed electric fields have been reported to have an immune stimulatory effect, the mechanisms responsible for these effects have yet to be determined.

Our investigation addresses the rising concern of MRSA derived skin and soft tissue infections (SSTIs). Consistent with other publications, we found that nsPEF alone cause modest inactivation of planktonic MRSA. We then investigated the effects of nsPEF in …

Application Of The Fokker-Planck Equation For Quantifying Initial Condition Uncertainty Of Reversible Dynamic Systems, Troy S. Newhart

Mechanical & Aerospace Engineering Theses & Dissertations

Characterizing the behavior of dynamic systems requires the inclusion of initial conditions to propagate behavior forward in time. More realistic representations of system behavior quantify uncertainty about the initial conditions to assess sensitivity, reliability, and other stochastic response parameters. In many engineering applications, the uncertain initial conditions may be unknown given a desired response. This research applies the Fokker-Planck equation to reversible dynamic systems of select multi-dimensional nonlinear differential equations as a means for predicting the uncertainty about initial conditions. An alternating directions implicit numerical scheme is used to numerically solve the Fokker-Planck equation for both forward and reversed equations …

Preserving Location Authenticity: Multi-Sensor System To Thwart Gps Spoofing In Self-Driving Vehicles, Peng Jiang

Electrical & Computer Engineering Theses & Dissertations

The ubiquity of the Global Positioning System (GPS) has cemented its role as the cornerstone for an array of location-based services and navigation systems, spanning applications from autonomous vehicles and drones to maritime vessels and wearable technology. Nonetheless, ensuring the integrity of reported geographical coordinates poses a formidable challenge, owing to the proliferation of diverse GPS spoofing tools. This predicament is compounded by the pervasive availability of tools like Fake GPS, Lockito, and software-defined radios, enabling even unsophisticated users to commandeer and disseminate counterfeit GPS coordinates. This dissertation undertakes the task of devising an encompassing and resilient framework, integrating a …

Time Series Models For Predicting Application Gpu Utilization And Power Draw Based On Trace Data, Dorothy Xiaoshuang Parry

Electrical & Computer Engineering Theses & Dissertations

This work explores collecting performance metrics and leveraging various statistical and machine learning time series predictive models on a memory-intensive application, Inception v3. Trace data collected using nvidia-smi measured GPU utilization and power draw for two runs of Inception3. Experimental results from the statistical and machine learning-based time series predictive algorithms showed that the predictions from statistical-based models were unable to capture the complex changes in the trace data. The Probabilistic TNN model provided the best results for the power draw trace, according to the test evaluation metrics. For the GPU utilization trace, the RNN models produced the most accurate …

The Practices Of Instructional Design At Community Colleges: A Post-Qualitative Study Of The Mutual Invisibility Of Work, David Robert Niebuhr Tod

Educational Leadership & Workforce Development Theses & Dissertations

The work of instructional design in community college settings is woefully understudied. This study documents that work in three community colleges in the southeastern United States while placing it in the theoretical context of neoliberalism, and in line with that theoretical context, takes a post-structuralist stance in its methodological approach.

It is in the discourses of instructional quality, online teaching, and design that instructional designers and faculty engage with each other. In contrast to the more well understood working relationship in a four-year institution, the power relationships between these two groups have not been examined in a community college context. …

Visual Attention In Remote Vehicle Supervision: Examining The Effects Of Mental Models And Information Bandwidth, Michael Stanley Politowicz

Psychology Theses & Dissertations

Advances in automation and aviation technologies have been catalysts for the emerging market of Advanced Air Mobility (AAM), an ecosystem of novel aircraft concepts including package delivery drones and passenger carrying air-taxis. Future aircraft operators in this environment will be tasked with remotely supervising multiple highly automated aircraft on a visual interface while receiving less training than traditional pilots. More research should explore how an operator’s potentially limited understanding of an automated system affects visual performance and interactions between human operators and AAM technologies. This study examined the influence of mental models of an autopilot system on visual attention allocation …

Stability And Strength Of Glass Frp Beam-Columns With Biaxial Bending And Torsion Including Shear And Warping Deformations, Emad M. Amin

Civil & Environmental Engineering Theses & Dissertations

Presented herein is a study of the stability and strength of pultruded glass fiber reinforced polymer (Glass FRP) beam-columns with an I-shaped cross section subjected to biaxial bending and torsion including shear and warping deformations. Three coupled differential equations of equilibrium including second-order effects and geometric imperfections are formulated and solved using a finite-difference scheme. Laboratory experiments are also conducted on glass FRP members with applied torsion; axial load; combined axial load with biaxial bending; and combined axial load, biaxial bending and torsional moment, respectively, for comparison to the theoretical predictions. The theoretical results agreed well with the experiments for …

Structural Characterization Of A Tritruss Module, Lauren M. Simmons

Mechanical & Aerospace Engineering Theses & Dissertations

The TriTruss is a novel structural module developed by researchers at NASA Langley Research Center (LaRC) that can be used in space to assemble large support structures for a variety of applications. One such application is the metering truss or primary mirror backbone support structure of an In-Space Assembled Telescope (iSAT). For the iSAT application, the TriTruss will be supporting mirror segments, payloads, and instruments, all of which require the TriTruss to have a high stiffness. Structural characterization from testing and analysis is needed to ensure the integrity of the struts that make up a TriTruss module is maintained when …

Computational Modeling And Analysis Of Facial Expressions And Gaze For Discovery Of Candidate Behavioral Biomarkers For Children And Young Adults With Autism Spectrum Disorder, Megan Anita Witherow

Electrical & Computer Engineering Theses & Dissertations

Facial expression production and perception in autism spectrum disorder (ASD) suggest the potential presence of behavioral biomarkers that may stratify individuals on the spectrum into prognostic or treatment subgroups. High-speed internet and the ease of technology have enabled remote, scalable, affordable, and timely access to medical care, such as measurements of ASDrelated behaviors in familiar environments to complement clinical observation. Machine and deep learning (DL)-based analysis of video tracking (VT) of expression production and eye tracking (ET) of expression perception may aid stratification biomarker discovery for children and young adults with ASD. However, there are open challenges in 1) facial …

Inelastic Dynamic Response Of Two-Story Steel Frame Under Single And Dual Blast Loading, Jack Austin

Civil & Environmental Engineering Theses & Dissertations

This study presents a theoretical investigation of the influence of both single and dual blast loadings and their duration on the inelastic behavior of a two-story steel plane frame. The influence of the type and duration of blast loading on the frame dynamic elasto-plastic response is studied by numerically solving the governing differential equations of dynamic equilibrium. The effects of the degree of damping and steel yield stress on the frame performance are also identified. Terrorist bombings of buildings have become increasingly prevalent and need to be accounted for when designing structures to prevent excessive deformations and collapse that result …

Public Service Motivation And Volunteer Firefighters In Rural Environments, Terina Chapin Brooms

School of Public Service Theses & Dissertations

Volunteer firefighters serve their communities by offering life and property protection without compensation. With over 700 million volunteer firefighters in the United States, this population remains largely underrepresented in the public administration literature along with understanding public service motivation (PSM) in protective service industries. Using a sample of South Dakota volunteer firefighters, the study tested the applicability of PSM across a volunteer-based public service, the volunteer fire service. Through factor analysis, a viable PSM measure was confirmed across the sample consisting of the self-sacrifice and commitment to public interest dimensions. Compassion was notably unable to be confirmed as a dimension …

The Effects Of Carbon Choice & Nitrate Loading On Ifas Partial Denitrification/Anammox Processes, Lawrence Cornelius

Civil & Environmental Engineering Theses & Dissertations

The Hampton Roads Sanitation District's James River Treatment Plant traditionally operated with an A2O configuration and aerobic IFAS. To improve nitrogen removal, eight of the nine treatment trains were reconfigured to a 5-stage process by converting their second anoxic zones to moving media IFAS with WWW2 media (World Water Works). This enabled the incorporation of the partial denitrification/anammox (PdNA) process. For effective partial denitrification in the second anoxic zone, a carbon source is required to convert NO₃-N (nitrate-nitrogen) to NO₂-N (nitrite-nitrogen), which anammox bacteria use. Ethanol was explored as a potential cost-effective alternative carbon source, hypothesized …

Longitudinal Solid Polarized Target For Clas12 And Study Of Spin Structure Of Nucleons, Pushpa Pandey

Physics Theses & Dissertations

A suite of experiments measuring target-spin observables in electron-nucleon scattering (dubbed Run Group C) was conducted at Jefferson Lab’s Hall B in Newport News, VA with a new polarized nuclear target known as ‘APOLLO’ (Ammonia Polarized Longitudinally). This innovative target is engineered to seamlessly integrate with the advanced 12 GeV CEBAF (Continuous Electron Beam Accelerator Facility) accelerator and the Hall B CLAS12 (12 GeV CEBAF Large Acceptance Spectrometer) detector array. The ‘APOLLO’ target harnesses the power of Dynamic Nuclear Polarization (DNP) to achieve longitudinal polarization of solid ammonia, thereby creating a net polarization in both protons (NH₃) and …

The Role Of Osint In Criminal Investigations: Leveraging Open-Source Data To Combat Cybercrime And Organized Criminal Activities, Azariah Vaughan

Cybersecurity Undergraduate Research Showcase

In today's modern age driven by digital innovations, the widespread adoption of technology has transformed criminal activities, leading to the emergence of cybercrime as a significant challenge for law enforcement agencies globally. Cybercrime acts have left a considerable dent on criminal activities and nowadays that we are halfway into the subsequent technological era stands as one of the most crucial issues for law enforcement agencies all around the globe. The aim of this work is to discuss the relationship between cybercrime and organized crime and the importance of OSINT within criminal investigations in supporting law enforcement itself. Particularly, due to …

Instructional Message Design: Theory, Research, And Practice (Volume 3), Miguel Ramlatchan (Editor)

Instructional Message Design, Volume 3

Message design is all around us, from the presentations we see in meetings and classes to the instructions that come with our latest tech gadgets to multi-million-dollar training simulations. In short, instructional message design is the real-world application of instructional and learning theories to design the tools and technologies used to communicate and effectively convey information. This field of study pulls from many applied sciences, including cognitive psychology, industrial design, graphic design, instructional design, information technology, and human performance technology, to name just a few. In this book, we will visit several foundational theories that guide our research, look at …

College Of Health Sciences Newsletter, College Of Health Sciences, Old Dominion University

Ellmer College of Health Sciences Newsletters

March 2024 issue of Old Dominion University's College of Health Sciences Newsletter.

Efficacy Of Cloves As A Repellent For Pest Ants (Formicidae), Aadee Malavade

2024 REYES Proceedings

I examined the efficacy of cloves for repellent activity against foraging ants. Control baits consisting of a cracker/paper substrate topped with granulated sugar or chapati (Indian bread) were presented next to treatment baits (cracker/paper, granulated sugar and spice spread over the sugar) to ants in natural habitats. After an hour, the numbers of ants recruiting to the control and treatment baits were recorded. A timed study of ants with 30-minute duration was done to understand behavior of ants over time. Data were analyzed with the sign test. Cloves showed promise as ant repellents.

Odu Department Of English Newsletter (2024-2025 - Issue No. 2), Veronica Watson, Don Rodrigues, Cristina Rodriguez Velez, Aliya Head, Amy Wilson, Ashley Jones, Bridget Dolan, Devin Hickey, Katherine Barnett

Department of English Newsletter

ODU English Department's 2024-2025 Annual Newsletter. The newsletter covers new courses, events, awards, students & faculty news and much more.

Bert-Based Detection Of Ai-Generated Text For Content Verification, Soham Biren Katlariwala

2024 REYES Proceedings

With advancements in AI-driven natural language generation, distinguishing between AI-generated and human-written text has become imperative for ensuring content authenticity across industries. This study explores the effectiveness of Bidirectional Encoder Representations from Transformers (BERT) in addressing this classification challenge. Utilizing a diverse dataset and robust preprocessing techniques, BERT achieved a peak F1-score of 0.94364, outperforming traditional models such as Logistic Regression and Support Vector Machines. The results underscore the potential of transformer-based models in addressing real-world con- tent verification problems. Future enhancements include fine-tuning and expanding datasets for greater generalizability.

White Pepper Powder Repels Ants, Mobashar Ahmad

2024 REYES Proceedings

In this study, I investigated ant responses to white pepper to see whether the spice can repel foraging ants. I performed several bioassays by placing control and treatment baits. The results demonstrated that white pepper powder significantly reduces ant activity.

Predicting Compressive Strength Of Concrete Incorporating Fly Ash, Blast Furnace Slag, And Superplasticizer Using Machine Learning Techniques, Muhammad Faisal Yaqub

2024 REYES Proceedings

Concrete is the second most essential element in the construction industry, and its strength requirements vary based on the specific conditions of each project. However, determining the compressive strength of concrete involves laboratory tests, which wastes a lot of time and money. Researchers have developed machine learning models that predict the compressive strength of cement-based concrete having various mixes. In this research, the compressive strength of concrete incorporating fly ash, blast furnace slag, and superplasticizer is predicted using different machine learning models, namely, Linear Regression, Random Forest Regression, Decision Tree Regression, Extreme Gradient Boosting, Light Gradient Boosting, AdaBoost, and CatBoost …

Investigations Into The Ant Deterrent Properties Of Asafoetida Ferula Asafoetida And Star Anise Illicium Verum, Chinmayaram K

2024 REYES Proceedings

This study assesses asafoetida and star anise as eco-friendly alternatives to chemical ant deterrents. It involved placing replicates of two bait types, a control (granulated sugar) and a treatment (granulated sugar and spice), on yellow paper substrates at five different ant-infested sites. The efficacy of the spice was evaluated by comparing the ant count on each bait every 10, 40, 60, 120, and 180 minutes. Percentage repellency (PR) was calculated for both the spices, and the data was analysed with the sign test. Further tests used only the treatment bait to evaluate the efficacy of the two varieties of asafoetida …

Nuclear Physics And Neutron Stars: Structure Of Compact Stellar Objects, Michel Geralddi Coria Magaña

2024 REYES Proceedings

The Tolman-Oppenheimer-Volkoff (TOV) equations provide a theoretical framework for modeling the structure of neutron stars and white dwarfs in hydrostatic equilibrium. Using Python and MATLAB, we simulate the mass-radius relationship, pressure, and density profiles of these compact stars, focusing on how ionized plasma dynamics contribute to their stability. By incorporating particle simulations into the visualization process, we model the internal forces of neutron stars and white dwarfs, demonstrating how computational tools offer unique insights into these celestial objects. The results align well with theoretical predictions and provide a solid foundation for future studies incorporating additional physical effects such as magnetic …

Exploring Clustering Patterns In Msmes And Large Enterprises In Maharashtra: Analyzing Industrial Dynamics Using Cluster Coefficient And Other Economic Indicators, Priyanshu Bist

2024 REYES Proceedings

The paper discusses an attempt to explore and assess the economic clustering in Maharashtra by focusing on the MSMEs (Micro, Small and Medium Enterprises) and large enterprises in six major districts, namely Konkan, Nashik, Pune, Aurangabad, Amravati, and Nagpur. Cluster coefficients, total number of workers, and other economic indicators of units were considered to understand how industries are spread and perform regionally. Our research was a combination of exploratory and descriptive research, ensuring the data to be garnered had already been collected from the reports and records of the governments concerned and of industries. This entails that we have a …

The Electric Vehicle Supply Chain Ecosystem: Changing Roles Of Automotive Suppliers, Sandeep Jagani, Erika Marsillac, Paul Hong

Information Technology & Decision Sciences Faculty Publications

The automotive industry is evolving due to the increasing adoption of Electric Vehicles (EVs). This transition has impacted automotive vehicles and led to profound changes in the supply chain ecosystem. Through a comprehensive review of the available literature and industry reports, this research investigates the automotive industry’s transition towards EVs and subsequent supply chain transformation, focusing on the changing roles of automotive suppliers. In this paper, we assess these transformations from economic, environmental, and strategic viewpoints. We examine the impact of these changes on supplier relationships, supplier OEM collaboration, and new entrants’ potential for disruption, as well as propose strategies …

A Review Of Hybrid Cyber Threats Modelling And Detection Using Artificial Intelligence In Iiot, Yifan Liu, Shancang Li, Xinheng Wang, Li Xu

Information Technology & Decision Sciences Faculty Publications

The Industrial Internet of Things (IIoT) has brought numerous benefits, such as improved efficiency, smart analytics, and increased automation. However, it also exposes connected devices, users, applications, and data generated to cyber security threats that need to be addressed. This work investigates hybrid cyber threats (HCTs), which are now working on an entirely new level with the increasingly adopted IIoT. This work focuses on emerging methods to model, detect, and defend against hybrid cyber attacks using machine learning (ML) techniques. Specifically, a novel ML-based HCT modelling and analysis framework was proposed, in which regularisation and Random Forest …

Role Of Occupational Therapy Assessment And Office Ergonomics To Support Students With Accommodations In Higher Learning: A Narrative Review, Behdin Nowrouzi-Kia, Christi Tam, Raabia Khan, Bushra Alam, Sujatha Alla

Engineering Management & Systems Engineering Faculty Publications

Postsecondary students with disabilities (SWDs) face significant challenges to their academic and personal well-being. There is a demand for more supportive strategies to facilitate fulfilling and equitable academic experiences for SWDs. This review aimed to (1) determine the effectiveness of various interventions, programs, and accommodations for enhancing the overall well-being of postsecondary SWDs and (2) evaluate the implications of these support strategies for disability service providers at postsecondary institutions. A narrative review was conducted, examining 13 studies aimed at enhancing the well-being of postsecondary SWDs. Studies were classified using the International Classification of Functioning, Disability and Health (ICF) Model. Ergonomics, …

Reinforcement Learning For Optimal Kicking Actions In Humanoid Robotics: Advancing Robotic Autonomy And Versatility, Suresh Dodda, Sathish Kumar Chintala, Sukender Reddy Mallreddy, Sharath Chandra Macha, Yashwanth Vasa, Sapan Bharadwaj Bonala, Navin Kamuni, Sujatha Alla

Engineering Management & Systems Engineering Faculty Publications

Acquiring the necessary skills to perform a work effectively and efficiently requires a significant investment of time and computing power. Previous applications of Reinforcement Learning (RL) for action optimization in humanoid robotics have shown how promising this technology is for moving robotics towards true autonomy and versatility. Therefore, this study offers the first use of RL to create an entirely optimal kicking action for the Alderbaran Nao robot. Kicking motions that were steady, precise, quick, and able to kick farther than any existing RoboCup squad were generated by optimizing for a multi-objective reward function. We demonstrate that the ideal kicking …

Data Driven Trade-Off Analysis For Cybersecurity, Goskel Kucukkaya, Murat Ozer, Murat Balci, Emrah Ugurlu

Engineering Management & Systems Engineering Faculty Publications

Trade-off analysis, a specialization of systems engineering, addresses design criteria like security, cost, performance, and compliance. Monte Carlo simulations are commonly employed to generate impact scenarios for trade-off analysis combined with solution alternatives that accommodate industry-specific considerations and uncertainties. In the cyber domain, this paper proposes a methodology for data-driven trade-off analysis in cybersecurity, leveraging industry reports as primary data sources using confidentiality, integrity, and availability as trade-off analysis objectives. Distribution functions are derived to manage and model uncertainties for various industries. The approach given in this study aims to facilitate informed choices and to enhance cybersecurity decision making and …