Digital Commons Network^™

Assessing The Sustainable Blockchain-Metaverse-Iot Platform In The Healthcare Industry: An Intelligent Decision Support Model, Ibrahim M. Hezam, Ahmed M. Ali, Ibrahim A. Hameed, Karam Sallam, Mohamed Abdel-Basset

Neutrosophic Systems with Applications

Healthcare services must fulfill patients' desires for secure data sharing and high accessibility. Blockchain technology, through blockchain platforms (BPs), can overcome healthcare challenges. This study develops a decision-making methodology for selecting the best BP, by integrating blockchain with IoT and Metaverse, the proposed approach ensures data integrity, quality, privacy and security, secure data sharing, and interoperability. The decision-making methodology uses the multi-criteria decision-making (MCDM) methodology to handle conflicting criteria. Two MCDM methods are used in this study: CRiteria Importance Through Intercriteria Correlation (CRITIC) for weight computation, and Ranking of Alternatives with Weights of Criterion (RAWEC) for alternative ranking. To deal …

Appraisal Of Uncertainty-Driven Financial Performance: Bringing Multi-Criteria Decision Making Techniques With Neutrosophic Theory, Mona Mohamed, Nurhan Alaa, Eman Sayed

Neutrosophic Systems with Applications

Evaluating financial performance is essential yet challenging due to various factors, including ambiguity, insufficient information, and conflicting evaluation criteria. Conventional Multi-Criteria Decision-Making (MCDM) techniques often struggle to manage these complexities effectively. To address these limitations and enhance financial performance assessments, this research proposes an innovative approach integrating Single-Valued Neutrosophic Sets (SVNS) with established MCDM methodologies. SVNS uniquely manages uncertainty by concurrently quantifying degrees of truth, indeterminacy, and falsity within financial data. This research specifically employs entropy-based weighting methods integrated with Additive Ratio Assessment (ARAS) and Multi-Objective Optimization by Ratio Analysis (MOORA) methodologies in the SVNS environment to systematically rank enterprises …

Leveraging Hypersoft Set To Optimize Livestock In The Era Of Unmanned Aerial Vehicles, Alaa Salem, Mona Mohamed, Nebojsa Bacanin, Mohamed Abouhawwash

Neutrosophic Systems with Applications

Due to urbanization and industrialization, rapid global change and the potential loss of arable land, agricultural output must rise in production levels and harvest, distribute, and use resources more efficiently. It is believed that using technology on livestock would help meet the expanding population's demand for food. Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) integration in conventional farming has transformed operations, providing farmers with greater productivity, improved decision-making, and sustainability. We assume that there are enough UAVs to cover the entire pasture, and our goal is to identify the best UAVs. Accordingly, determining the best type of UAVs …

A Novel Neutrosophic Decision-Making Approach For Optimizing Metaverse Headphone Design: Balancing Technical Performance And User Emotional Needs, Mai Mohamed, Amira Salam, Karam Sallam, Bilal Arain

Neutrosophic Systems with Applications

The concept of the metaverse, which combines various technologies to create a wide range of virtual experiences, has gained significant popularity in recent years. To fully engage in these metaverse environments, users rely on access devices such as virtual reality (VR) headsets and smartphones for augmented reality (AR). These devices must be lightweight, compact, and user-friendly to ensure comfort and enhance customer satisfaction. There is a growing focus on innovating and designing products that not only meet technical requirements but also address the emotional needs of users, ultimately improving the overall experience. Selecting the ideal design for Metaverse headphones is …

Meta-Clustering For Specialized Language Models: Enhancing Contextual Adaptation And Mitigating Hallucinations In Diverse Healthcare Environments, Joshit Mohanty, Vaishali Vaishali, Sandeep Kumar Nayak, Sumit Lahiri

Graduate Student Government Association Research Conference

Large Language Models (LLMs) have significantly advanced conversational AI by enabling dialogic information-seeking and task execution across diverse domains. However, their extensive parameters and broad domain scope lead to “data hallucinations.” These shortcomings are particularly evident in dynamic and diverse environments like India’s healthcare sector, where myriad languages, regional practices, and cultural nuances demand specialized, localized expertise rather than one-size-fits-all generalist models. This paper introduces a meta-clustering framework that integrates Distilled Language Models (DLMs) and Small/Specialized Language Models (SLMs) with meta-learning principles to address these limitations. By drawing on evidence from works such as MedHalu and Med-HALT, the framework seeks …

04.21.2025 Ored Connect, Liz Williamson

ORED Newsletter

ORED Stakeholder Meetings

SEC Travel Grants

Decadal To Millennial-Scale Morphodynamic Evolution Of Microtidal Marshes, Samuel Mason Zapp

LSU Doctoral Dissertations

Tidal marshes are susceptible to rapidly converting to open water due to their low elevations within the tidal frame. A continuous supply of externally supplied mineral sediment and in situ organic material production is necessary to offset elevation losses from relative sea level rise and erosion. Complex feedbacks between hydrodynamics, the erosion, transport, and deposition of sediment, and physical modification of the landscape by the establishment of intertidal vegetation govern the spatial and temporal patterns of elevation response. This dissertation focuses on modeling how these dynamics drive marsh landscape evolution in the past, present, and into the future under changing …

Using Eeg Signal For Smart Health: An Overview, Addison Clark, Chelsea Bonyata, Ishfaq Ahmad, Hansheng Lei, Khalid Saifullah, Victor Ibarra

Informatics and Engineering Systems Faculty Publications

This survey paper aims to provide an overview of the current state of EEG (Electroencephalography) signal technology as it relates to people with disabilities. It will highlight the various methods and techniques employed, discussing their advantages and disadvantages. The paper will also examine the applications of EEG technology in assisting individuals with disabilities, specifically focusing on Brain-Computer Interfaces (BCIs) and assistive device control. By understanding the current state of EEG signal technology, we can identify the opportunities and challenges involved in utilizing this technology to improve the lives of people with disabilities.

Systematic Analysis On The Applications Of Infrastructure Asset Management In Utah, Kelvin Kozakevitch

Theses and Dissertations

Public infrastructure is essential to a region’s economic stability and quality of life, especially its rural infrastructure where most consumable and essential goods derive from. Given the high capital investment required for infrastructure development and maintenance, asset management plans (IAM) are critical. Even though academic research exists on the problems rural infrastructure management face, little is known about the actual state, barriers and causes for the challenges IAM faces in rural Utah. This study examines the current challenges and barriers in IAM among rural communities in Utah. Employing a grounded theory approach, data was collected through a two-phase methodology: phase …

Enabling Next-Generation Microfluidics Through Advances In High-Resolution 3d Printing, Matthew S. Viglione

Theses and Dissertations

This dissertation advances the field of microfluidic device fabrication through the development and application of high-resolution 3D printing technologies. The convergence of stereolithography (SLA) with digital light processing (DLP) has created unprecedented opportunities for microfluidic device fabrication, enabling truly three-dimensional structures with feature sizes approaching the single-micron scale. Building upon foundational work in custom 3D printer development, this research addresses critical limitations in 3D printing that have historically constrained microfluidic innovation, spanning multiple generations of custom 3D printers and technical innovations that have enabled the fabrication of increasingly complex microfluidic devices while enhancing resolution, repeatability, speed, and accessibility. A comprehensive …

Impact Of Repeated Washing Cycles On Surface Integrity And Mechanical Properties Of Glass Bottles, Siwat Patamakam Mr., Thitisilp Kijchavengkul, Siriyupa Netramai, Gong Yaijam

Journal of Applied Packaging Research

Glass bottles are a top choice in the global beverage industry, but their inherent brittleness poses challenges in maintaining durability. This study focused on investigating the impact of numbers of washing processes from reusing on the surface quality and mechanical properties of glass bottles after each washing cycle. Contact angle technique was used to determine surface quality of glass bottles. It was found that mechanical integrity, as reflected in internal pressure resistance values, and surface quality of glass bottles exhibited an exponential decline with each washing cycle. Furthermore, a predictive model (R² = 0.8882) was developed to estimate its …

Analyzing The Drivers Of Airline Profitability, Brady Noble

Honors Theses

The commercial aviation industry, despite its transformative impact on global connection and economy, has historically struggled with consistent profitability. This thesis investigates the drivers of financial success within the airline industry, with a particular focus on the relationship between passenger load factors and profitability. Passenger load factors, defined as the percentage of available seats occupied by paying customers, have emerged as a key performance indicator, offering important insights into operational efficiency and revenue generation.

The study utilizes comprehensive data from the Bureau of Transportation Statistics, encompassing quarterly metrics on revenue, load factors, operating costs, and fuel prices from 2002 to …

Improving Erosion Resistance And Revegetation Of Wildfire-Altered Soils Using Microbial Induced Calcite Precipitation, Ahsan Ali

Doctoral Dissertations and Master's Theses

Climate change is causing wildfires to occur more frequently and with higher intensity. Leading to wide range of impacts on agriculture, infrastructure, and the environment. Wildfires affect soils by burning their organic matter, resulting in an immediate deplete of nutrients and a significant reduction in nitrogen level. Wildfires also alter soils’ physical properties and make them less resistant to erosion which results in debris flows when wildfire are followed by a rainfall event. The reduced activity of microorganisms that aid in nutrient absorption makes the soil less effective in supporting plant life. Microbial Induced Calcite Precipitation (MICP) was found to …

Acoustic Filter For Biopharmacy, Nicholas Rivet

Three Minute Thesis (3MT)

The design and development of a novel flow induced acoustically tuned “filterless” filter is proposed. The proposed research is on developing two or more prototypes that function as a cell retention device for perfusion cell cultures used in continuous manufacturing of monoclonal antibodies and recombinant proteins. This research will provide a non-invasive, cost-effective, flexible, and robust cell retention device for sustainable manufacturing of biologics.

Durability And Steel Corrosion Resistance Of Fly Ash Concrete Exposed To Groundwater, Mohamed Ahmed Bayomy, Khaled M. Osman, Hala Emad Elden Fouad

Mansoura Engineering Journal

This article proposes replacing Ordinary Portland Cement (OPC) with a fly ash (FA)-based geopolymer (GP) material, activated by a chemical activator, as the binding material. A 90-day study was conducted to evaluate the performance of fly ash geopolymer concrete (GPC) in a corrosive environment (groundwater). Scanning electron microscopy (SEM), compression testing, and energy-dispersive X-ray spectroscopy (EDX) were used to assess the toughness of the samples. Additionally, the linear polarization resistance (LPR) method was employed to measure the corrosion of steel embedded in the concrete structures. The comparison shows that increasing the fly ash (FA) content in geopolymer concrete (GPC) enhances …

Optimization Of Vehicle Routing For Cross-Infection Risk In The Epidemic, Xiaodong Shi, Yongcheng Guo, Mingqi Ma, Jiarui Pan

Journal of System Simulation

Abstract: In view of the safety risks associated with logistics distribution route optimization during public health emergencies, this paper investigates the vehicle routing problem by incorporating the risk of cross-infection, integrates the cross-infection risk caused by logistics activities in the epidemic area into the logistics distribution model, and establishes a logistics vehicle distribution model with the goal of cross-infection risk and cost. An improved genetic algorithm is designed for model optimization and solution. Based on the integration of chaos initialization population and adaptive crossover and mutation operations, a neighbor exclusion operator is further proposed to enhance the global search ability …

Research Week 2025, Michael Schueth

Research Week

Welcome to Undergraduate Research Week at Collin College!

This week celebrates the innovative research and scholarly work of our undergraduate students across all disciplines. From our informative webinars to Cultivating Scholars, our student poster presentation, the week offers opportunities to explore new ideas, share discoveries, and connect with fellow researchers and faculty mentors.

We invite all students, faculty, and staff to participate in these events designed to highlight the importance of undergraduate research in academic and professional development. Whether you're presenting your work or simply curious about your peers' projects, your engagement helps foster our college's culture of inquiry and …

Learning Through Leadership, Mike Alison

ASEM Capstones

2025 ASEM 620 Capstone Project

Validation Of Task-Based Risk Assessment (Tabra) As An Effective Risk Evaluation Tool For Manufacturing Machinery Systems, Rick Lemons

ASEM Capstones

2025 ASEM 620 Capstone Project

The Human Element In Nuclear Safety, Daniel Vincent Gascon

ASEM Capstones

2025 ASEM 620 Capstone Project

2025 Scholarly Productivity Report, Missouri University Of Science And Technology

Civil, Architectural and Environmental Engineering Scholarly Productivity Reports

No abstract provided.

Evaluating The Potential For Reusing Process Waste Fiber, Elisha Ewing

Honors Theses

This study was born out of curiosity around the potential use of reject materials from the papermaking screening system for molded fiber product development. The team sought to explore the technical feasibility of this concept and develop a proposed design for mill implementation. The project supports the common papermaking objective of reducing fiber loss from the stock preparation process.

The project assessed first the technical feasibility through laboratory testing and trials. The team dedicated time to characterizing screen reject samples from local mills and running trials using the good fibers extracted from the samples. Molded fiber products were successfully created …

Continuous Purification Of A Parvovirus Using Two Aqueous Two-Phase Extraction Steps, Natalie Nold, Sheridan Waldack, Grace James, Trisha Colling, Lynn M. Manchester, Taravat Sarvari, Amanda P. Bekkala, Seth Kriz, Madison Baldwin, Emily Agustin-Mazariegos, Michael J. Betenbaugh, Caryn Heldt

Michigan Tech Publications

Aqueous two-phase systems (ATPS) are a liquid–liquid extraction method that offers low-cost, continuous-adaptable virus purification. A two-step ATPS using polyethylene glycol (PEG) and sodium citrate that recovered 66% of infectious porcine parvovirus with 2.0 logs of protein removal and 1.0 logs of DNA removal in batch has now been run continuously. The continuous system output of < 10 ng/mL DNA regardless of starting DNA titer agreed with batch studies. However, the continuous system had a five-fold higher contaminating protein titer than batch studies, likely because of incomplete mixing or settling. Turbidity was tested as a measure of mixing and settling efficiency. Monitoring in-line absorbance at 880 nm directly after mixing and before collection in the settling reservoir could track both mixing and settling during operation. Settling time was reduced by changing the settling line material from PVC to PTFE, which is more hydrophobic. A flow-through AEX filter tested to make impurity removal more robust recovered 90% of PPV and removed an additional 87% of host cell DNA. The filter did not add any additional protein removal. In the future, in-line absorbance sensors could be implemented along with conductivity sensors to measure salt concentration, refractive index sensors to track the PEG-citrate interface, and scales to track mixer and reservoir volumes to enable automated, continuous ATPS. Our vision is to integrate continuous ATPS into a fully continuous end-to-end production for viral vectors.

Rf Emission From Partial Breakdown Events And Their Classification, Torin Sammeth

Electrical and Computer Engineering ETDs

Electrical breakdown is a core component of Pulse Power both in its utilization and as a failure point in systems. This research is investigating the feasibility of D-dot antennas to detect and potentially identify different forms of partial electrical breakdown in a point-to-plane gap geometry. In this work, the RF emission detected by a D-dot probe during a partial breakdown event is shown to correlate with the presence of light and current using a fast-current transformer and photomultiplier tube. Additionally, the frequency components of the RF signal were measured with the use of a fast Fourier transform. Identifying these frequencies …

Ute Mri For Assessing Demyelination In An Mtbi Mouse Model: An Open-Field Low-Intensity Blast Study, Yajun Ma, Qingbo Tang, Xin Cheng, Jiyo S. Athertya, David Coughlin, Eric Y. Chang, Catherine E. Johnson, Jiankun Cui, Zezong Gu, Jiang Du

Mining Engineering Faculty Research & Creative Works

Mild traumatic brain injury (mTBI) is a leading cause of long-term disability. Following mTBI, secondary chemical cascades and neuroinflammation can result in myelin damage, significantly impairing cognitive function. This study aims to assess demyelination in mice with mTBI induced by open-field low-intensity blast (LIB) using a novel three-dimensional short repetition time adiabatic inversion recovery UTE (3D STAIR-UTE) magnetic resonance imaging (MRI) sequence. Thirty male C57BL/6 mice, with 15 experiencing mTBI and 15 serving as sham controls, were included in this study. Behavioral tests were performed starting at 5 days post-injury to assess motor activity and anxiety-like responses followed by STAIR-UTE …

The National Cybersecurity Teaching Coalition: Expanding Cybersecurity Education Opportunities, Paul Wagner, Melissa Dark, Robert Honomichl, Filipo Sharevski, Sandra Leiterman

Journal of Cybersecurity Education, Research and Practice

The increasing prevalence of cybersecurity threats and the shortage of qualified professionals necessitate innovative solutions for cybersecurity education at all levels. Despite the expansion of post-secondary cybersecurity programs, employer dissatisfaction with graduates and a lack of standardized introductory curricula highlights the need for structured secondary education pathways. The National Cybersecurity Teaching Coalition (NCTC) and its National Cybersecurity Teaching Academy (NCTA) address this gap by equipping high school educators with the necessary knowledge and credentials to teach cybersecurity effectively. NCTA offers an 18-credit cybersecurity graduate certificate program to ensure teachers are competent and confident to develop and teach cybersecurity curriculum with …

Unleaded Aviation Fuel: Assessing Stakeholder Perceptions And Preparing An Organization For Change, Ryan Guthridge, Nicholas D. Wilson, Brandon Wild

Journal of Aviation Technology and Engineering

Since the Clean Air Act of 1996 banned the use of leaded fuel for automotive applications, leaded aviation gasoline (AVGAS) has become one of the leading sources of lead pollution in the nation due to the volume of AVGAS consumed in general aviation applications (GAMA, 2019). The Federal Aviation Administration has recently recognized this concern with the establishment of the Eliminate Aviation Gasoline Lead Emissions (EAGLE) initiative, which was formally established in February 2022 to foster an important campaign to research and inform the general aviation community on the process for transitioning to unleaded AVGAS. This essay seeks to inform …

Enhancing Organizational Resilience Through Fatality Prevention At Vulcan Materials Company, Ross Boeker

ASEM Capstones

2025 ASEM 620 Capstone Project

04.14.2025 Ored Connect, Liz Williamson

ORED Newsletter

Updated CITI Training Courses

Science Celebration

IHL Prepayment Approval

From Errors To Excellence: A New Paradigm For Safety In Construction, Ryan Maraffi

ASEM Capstones

2025 ASEM 620 Capstone Project