Digital Commons Network^™

In Vivo Measurement Of Nadh Fluorescence Lifetime In Skeletal Muscle Via Fiber-Coupled Time-Correlated Single Photon Counting, Kathryn M. Priest, Jacob V. Schluns, Nathania Nischal, Colton L. Gattis, Jeffery C. Wolchok, Timothy J. Muldoon

Biomedical Engineering Faculty Publications and Presentations

Nicotinamide adenine dinucleotide (NADH) is a cofactor that serves to shuttle electrons during metabolic processes such as glycolysis, the tricarboxylic acid cycle, and oxidative phosphorylation (OXPHOS). NADH is autofluorescent, and its fluorescence lifetime can be used to infer metabolic dynamics in living cells. Fiber-coupled time-correlated single photon counting (TCSPC) equipped with an implantable needle probe can be used to measure NADH lifetime in vivo, enabling investigation of changing metabolic demand during muscle contraction or tissue regeneration. This study illustrates a proof of concept for point-based, minimally-invasive NADH fluorescence lifetime measurement in vivo. Volumetric muscle loss (VML) injuries were …

The Sexually Dimorphic Role Of Connexin 43 In Bone Remodeling And Disuse-Induced Bone Loss, Gabriel A. Hoppock

Theses and Dissertations

Bone loss is frequently experienced by individuals undergoing long-term disuse, such as prolonged bedrest, immobilization due to paralysis or injury, and conditions such as spaceflight. Under normal physiological conditions, bone remodeling is balanced by bone-forming osteoblasts and bone-resorbing osteoclasts, and the activity of osteoblasts and osteoclasts is orchestrated by osteocytes. Osteocytes are the most abundant cell type found in bone and ample evidence suggests they are bone’s main mechanosensory cell type. Therefore, understanding osteocyte biology and responses to mechanical signals, or lack thereof during unloading, may lead to new therapeutic targets to combat bone loss during disuse. Previous data has …

The Influence Of Surfactants' Ionicity On The Performance Of Coal Dust Suppression, Zidong Zhao, Ping Chang, Apurna Ghosh, Guang Xu, Yanwei Liu, Ramakrishna Morla

Mining Engineering Faculty Research & Creative Works

Coal dust is a significant health hazard for coal workers, as prolonged inhalation can lead to severe diseases such as Coal Workers' Pneumoconiosis. Water spray with surfactants is commonly used as a pre-control strategy to control coal dust in underground mines. The zeta potential test is a widely used static test to evaluate surfactants with different ionicities. However, there are still some arguments about the evaluation criteria of zeta potential on surfactant performance between different researchers. Moreover, whether zeta potential can be used as an index to evaluate the surfactant suppression performance is inconclusive. To address these problems, this study …

Defects Detection Of Concrete Bridge Decks Using Uav-Based Infrared Thermography, H. B. Zhang, Z. Zhou, G. Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Concrete bridges are vulnerable to both natural and man-made disasters, as well as aging and deterioration processes throughout their lifespan. Timely detection of defects in concrete structures is crucial for repair and decision-making purposes. However, traditional methods like visual inspection are time-consuming and expensive. Unmanned aerial vehicles (UAVs) equipped with infrared thermography (IRT) offer an efficient and cost-effective solution for detecting defects in concrete structures. This study presents passive and active IRT techniques for detecting common concrete defects, such as delamination and cracks. Principle and methods for quantifying these defects and evaluating the extent of damage are introduced. Experiments are …

Enhanced Bottom Anode Monitoring In Dc Electric Arc Furnaces Using Fiber Optic Sensors, Yeshwanth Reddy Mekala, Rony Kumer Saha, Ogbole Collins Inalegwu, Muhammad Roman, Farhan Mumtaz, Rex Gerald, Jeffrey D. Smith, Jie Huang, Ronald J. O'Malley

PSMRC Faculty Research

A pin style bottom anode employs conductive steel rods that serve as the pathway for the high electrical power through rammed refractory at the bottom of a DC Electric Arc Furnace (EAF). Anode wear during operation is important to monitor, as anode replacement is expensive and impacts EAF productivity. Liquid steel penetration into the un-sintered refractory layer can result from rapid electrical power ramp-up, dips in furnace temperature, or operating the anode for too long between EAF campaigns. In extreme cases, the liquid steel may penetrate the bottom of the furnace when anode wear progresses too close to the bottom …

A 3d Co-Culture Model Of Senescent Cell Burden And Salivary Gland Fibrosis, Stephen Rose

Electronic Theses & Dissertations (2024 - present)

Patients with head and neck cancer often suffer collateral radiation damage to the salivary glands, leading to fibrosis. Histological examinations indicate that radiation encourages fibrosis by promoting cellular changes leading to both senescent and myofibroblast phenotypes, coupled with a significant loss of regenerative and acinar cells. Chronic hypofunction remains a primary concern, even with modified radiation approaches to sparing salivary glands. Current treatments primarily offer symptomatic relief without rectifying irreversible glandular tissue damage. This limitation arises, in part, from a deficiency in predictive preclinical models to study this multifaceted problem.

We introduce a 3D in vitro microtissue model to address …

A Simple, Inexpensive Alkaline Method For Bacterial Dna Extraction From Environmental Samples For Pcr Surveillance And Microbiome Analyses, Abdulkarim Shwani, Bin Zuo, Adnan Alrubaye, Jiangchao Zhao, Douglas D. Rhoads

Poultry Science Faculty Publications and Presentations

DNA extraction for downstream molecular diagnostic applications can be an expensive, time-consuming process. We devised a method to quickly extract total bacterial DNA from environmental samples based on the sodium hydroxide lysis of cells with or without capture by magnetic beads for subsequent PCR or quantitative PCR. The final DNA extraction method using NaOH is extremely low-cost and can be completed in as little as 10 min at room temperature with dilution, or the DNA can be further purified using silica-coated paramagnetic beads. NaOH extraction was effective for Gram-negative and Gram-positive bacteria in samples from air, soil, sewage, food, laboratory …

Fluorotelomer Carboxylic Acid Degradation: Implications For Septic Systems, Alexis Marie Eaton

Honors Theses and Capstones

Per- and polyfluoroalkyl substances, or PFAS, are a group of manmade organic chemicals that have been widely used since the 1940’s due to their resistance to heat, water, and oil. These compounds are associated with negative health outcomes including poor thyroid function, reproductive toxicity, and carcinogenicity. Because products with PFAS are widely used in residential settings, and because many PFAS do not completely degrade during wastewater treatment/handling, septic systems may be an important non-point source of PFAS to groundwater. Many homes that have septic systems, which discharge wastewater effluent to the subsurface, also use groundwater as a drinking water source; …

Development Of Tio2/Nh2-Mil-125 Nanocomposite For The Removal Of Ciprofloxacin Under Induced Solar Irradiation, Bilkis Mojisola Ajiwokewu

Theses

This research focuses on the development and application of Metal-Organic Frameworks (MOFs)-based nanocomposites for the photocatalytic removal of pharmaceutical contaminants, with a specific emphasis on ciprofloxacin (CIP). The photocatalytic degradation of CIP was investigated using as-synthesized photocatalysts of TiO₂ nanowires (TiO₂NWs), bare MOF of NH₂-MIL-125, TiO₂NW/NH₂-MIL-125 composite, and Lanthanum (La)-doped composite. Intriguingly, the TiO₂NW/NH₂-MIL-125 composite exhibited the highest efficiency, achieving a photodegradation rate of 0.0111 min-1, surpassing the independent performances of bare MOF of NH₂-MIL-125 and TiO₂NW. The observed efficiency was attributed to …

Statistical Analysis For Water Quality Data Using Anova (Case Study- Lake Burullus Influent Drains), Mohamed Hussein Hegazy

Civil Engineering

Lake Burullus is considered one of the most valuable northern lakes in Egypt due to its unique ecological system and special location. Over the past four decades, the lake has suffered from high contamination levels due to expansion in fish farming and increasing of agricultural drainage water entering the southern side of the lake through eight influent drains. This research aims to assess the current situation of the lake’s influent drains. For this purpose, two types of statistical analysis, Mean average method, and Analysis of Variance (ANOVA) were used. The water quality conditions for six major drains (Therah (Tira), Nashart, …

Experimental Investigation On Properties Of Sugarcane Bagasse Fiberboard Manufactured With Different Techniques, Amany G. Micheal Prof., Marianne Nabil Girgis Ass. Prof., Omar Mohasen Khalaf Eng.

Architectural Engineering

Within an ongoing research project investigating the use of sugarcane bagasse (SCB) to develop different building materials, this article adopts an experimental approach to determine the effect of the manufacturing technique on proposed composite fiberboards. Two different prototypes of composite fiberboards are developed using (SCB) as a natural fiber, and different matrices are tested. The epoxy resin and polyester resin are used as the alternative matrices. Fiberboards are proposed to be used as cladding boards or as internal furnishing units material instead of using MDF or HDF that exploit the usage of natural soft or hard wood that is unrecyclable, …

The Phase Behaviour And Stability Of An Environmentally Friendly Oil-In-Water Emulsion Produced Using Balanites Aegyptiaca Oil And Green Emulsifiers, Sami A.M. Yagoub, Swee P. Yeap, Nurudeen P. Yekeen, Mohammed A. Ayoub

Research outputs 2022 to 2026

Due to environmental concerns about extensively using chemical emulsifiers and hydrocarbon oil in emulsion systems formation, recent research has shifted to using natural emulsifiers and oil. This study produced green emulsion using Balanites aegyptiaca oil and various bio-emulsifiers (such as sodium alginate, carboxymethylcellulose, guar gum, and Saponin). Phase behavior and stability of the emulsion were tested at different NaCl concentrations over one month of ageing. The emulsion was also produced using Balanites aegyptiaca oil and synthetic emulsifiers (Tween 80 and Triton X-100). The critical micelle concentrations of emulsifiers were determined and used as the fixed concentration for the green emulsion …

Alien Mystery Scavenger Hunt: Enhancing Intergenerational Interaction With Physical Web Technologies Through Location-Based Games, Folashade Fatima Badmos

Conference papers

The Physical Web is a powerful, easy-to-implement and inexpensive way to bridge the gap between the digital and physical realms compared to other technologies used for web location-aware interaction. In this study, we propose a Physical Web for an inter-generational game through the Alien Mystery scavenger hunt. Through the design and implementation of a Physical Web for outdoor intergenerational games, we show the potential of Physical Web technologies in presenting different interactions between the web and the user’s physical environment. The game utilises the ubiquity of QR codes and NFC in modern mobile devices, enabling users to seamlessly interact with …

Privacy-Preserving Pedestrian Movement Analysis In Complex Public Spaces, Kunchala Anil

Doctoral

Every journey starts and ends with a walking phase. As a fundamental mode of transportation, it plays a crucial role in the functioning of urban societies. Cities should strive to create public spaces that promote walking by designing pedestrian-friendly infrastructure that is accessible, safe, and convenient for all. An essential step in designing pedestrian-friendly infrastructure is understanding pedestrian usage patterns and behaviour in existing public spaces and infrastructure.

Emotional Intelligence Coaching For Higher Education Lecturers: Their Experience And Its Impact On Trait Emotional Intelligence, Stress, And Teaching Self-Efficacy, Eoghan Guiry

Doctoral

Previous research has established that emotional intelligence (EI) can be developed through targeted intervention; however, this was previously untested with lecturers. Guided by the job demands-resources model, this study explored the impact of an EI coaching intervention on lecturers’ trait EI, perceived stress, work-related stress, and teaching self-efficacy at Technological University Dublin. Additionally, the study explored the lecturers’ experiences of partaking in the intervention. Employing a pragmatic approach, mixed methods were used in a randomised controlled trial.

A Multi-Life Cycle Assessment Of External Wall Insulation Strategies In An Irish Domestic Retrofit, Sara Carrigan, Patrick Daly, Alberta Congeduti

Articles

European Union (EU) policy and initiatives are driving both building renovation and the uptake of low-embodied carbon and circular design in the construction sector. The European Performance of Buildings Directive (EPBD) recast (2021) introduces global warming potential (GWP) methodology, and the future state will likely be embodied carbon targets for which life cycle assessment (LCA) of buildings will be required. External wall insulation (EWI) will have an important role to play in meeting targets. In this context, this paper compares the carbon emission payoff of three alternative EWI strategies that address conventional, low-carbon and circular solutions to EWI respectively, in …

Ring Opening Functionalization Of Thiolactone Homopolymers For Ros Scavenging, Aaron Priester, Forrest Kievit, Anthony J. Convertine

Materials Science and Engineering Faculty Research & Creative Works

In This Research, We Explored the Synthesis and Application of Thiolactone Acrylamide (TLA) Polymers for Neutralizing Reactive Oxygen Species (ROS), Produced as a Result of Traumatic Brain Injury (TBI). We Synthesized Well-Defined TLA Polymers using RAFT (Reversible Addition-Fragmentation Chain Transfer) Polymerization Across a Range of Monomer-To-Chain Transfer Agent ([M]0/[CTA]0) Ratios to Achieve a Range of Molar Masses. Polymerizations Were Carried Out using a Trithiocarbonate CTA (Chain Transfer Agent) with AIBN (Azobisisobutyronitrile) as the Initiator in N'N-Dimethylacetamide (DMAc) at 60 °C. Kinetic Studies Indicated a Linear Increase in Molar Mass with Conversion, Pseudo-First-Order Kinetics, and Molar Mass Values that Are Consistent …

Spatiotemporal Variance Image Reconstruction For Thermographic Inspections, Logan M. Wilcox, Emily M. Johnson, Emma T. Bohannon, Catherine E. Johnson, Kristen M. Donnell

Mining Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is a nondestructive testing and evaluation (NDT&E) technique that utilizes a radiating antenna to induce a thermal increase on or within a specimen under test (SUT). The radiated power density is spatially nonuniform and therefore results in a spatially nonuniform thermal excitation, which may result in missed or false indications of defects. To this end, this work proposes a novel image reconstruction technique for nonuniform excitation/heating and is referred to as Spatiotemporal Variance Reconstruction (STVR). STVR utilizes the spatial and temporal variance of the surface thermal profile. STVR is advantageous in that it does not require …

Comparative Analysis Of Different Cfd Turbulence Models For A Diesel Pool Combustion Event In An Underground Mine: A Case Study, Ashish Ranjan Kumar, Oluwafemi Salami, Nana A. Amoah, Guang Xu

Mining Engineering Faculty Research & Creative Works

Underground Mine Fires Are Dangerous, Consume Resources, and Emit Pollutants. Therefore, Acquiring In-Mine Data for Fire Research is Hazardous and Expensive Due to Unsteady Temperature Changes and Toxic Gas Emissions. Computational Fluid Dynamics (CFD) Models Are Often Developed to Mimic Airflows and Combustion-Associated Heat Transfer. However, Research on the Performance Evaluation of the CFD Turbulence Models to Mimic Fire Events is Limited. This Paper Summarises the Modelling Results for a Diesel Pool Fire Event in an Experimental Underground Mine that Uses an Exhaust Ventilation System. a Fire Dynamics Simulator (FDS) Model Was Developed to Show the Spatio-Temporal Temperature Evolution. Reynolds-Averaged …

Optimized Gadolinium-Do3a Loading In Raft-Polymerized Copolymers For Superior Mr Imaging Of Aging Blood-Brain Barrier, Hunter A. Miller, Aaron Priester, Evan T. Curtis, Krista Hilmas, Ashleigh Abbott, Forrest M. Kievit, Anthony J. Convertine

Materials Science and Engineering Faculty Research & Creative Works

The development of gadolinium-based contrast agents (GBCAs) has been pivotal in advancing magnetic resonance imaging (MRI), offering enhanced soft tissue contrast without ionizing radiation exposure. Despite their widespread clinical use, the need for improved GBCAs has led to innovations in ligand chemistry and polymer science. We report a novel approach using methacrylate-functionalized DO3A ligands to synthesize a series of copolymers through direct reversible addition-fragmentation chain transfer (RAFT) polymerization. This technique enables precise control over the gadolinium content within the polymers, circumventing the need for subsequent conjugation and purification steps, and facilitates the addition of other components such as targeting ligands. …

Strength Comparison For Fully Dense Zirconium Diboride Ceramics Tested By Different Methods, Darko Kosanović, Suzana Filipović, Isaak Trajković, Nina Obradović, Paul M. Brune, Gregory E. Hilmas, William G. Fahrenholtz

Materials Science and Engineering Faculty Research & Creative Works

The strength of zirconium diboride ceramics was tested by three different methods, 3-point flexure, 4-point flexure, and compression. Nearly full-density ceramics were obtained by hot pressing commercial ZrB₂ powder with the addition of.5 wt.% carbon as a sintering aid. The thermal properties and hardness were studied for ZrB₂ milled with ZrB₂ and WC media. Based on phase purity and higher thermal conductivity, ZrB₂ ceramics prepared from powders milled with ZrB₂ media were selected for mechanical property studies. The strength in 3-point flexure was 546 ± 55 MPa. The flexure strength was 476 ± 41 MPa …

Experimental Investigation Of A Viscoelastic Liner To Reduce Under Helmet Overpressures And Shock Wave Reflections, Cody J.H. Thomas, Fatih Dogan, Catherine E. Johnson

Materials Science and Engineering Faculty Research & Creative Works

Introduction: Shock wave overpressure exposures can result in blast-induced traumatic brain injury (bTBI) in warfighters. Although combat helmets provide protection against blunt impacts, the protection against blast waves is limited due to the observed high overpressures occurring underneath the helmet. One route to enhance these helmets is by incorporating viscoelastic materials into the helmet designs, reducing pressures imposed on the head. This study aims to further investigate this mitigation technique against under-helmet overpressures by adding a viscoelastic liner to the inside of a combat helmet. Methods: The liner's effectiveness was evaluated by exposing it to free-field blasts of Composition C-4 …

Effect Of Ph And Hydroxyapatite-Like Layer Formation On The Antibacterial Properties Of Borophosphate Bioactive Glass Incorporated Poly(Methyl Methacrylate) Bone Cement, Kara A. Hageman, Rebekah L. Blatt, William A. Kuenne, Richard K. Brow, Terence E. Mciff

Materials Science and Engineering Faculty Research & Creative Works

Infection is a leading cause of total joint arthroplasty failure. Current preventative measures incorporate antibiotics into the poly (methyl methacrylate) (PMMA) bone cement that anchors the implant into the natural bone. With bacterial resistance to antibiotics on the rise, the development of alternative antibacterial materials is crucial to mitigate infection. Borate bioactive glass, 13–93-B3, has been studied previously for use in orthopedic applications due to its ability to be incorporated into bone cements and other scaffolds, convert into hydroxyapatite (HA)-like layer, and enhance the osseointegration and antibacterial properties of the material. The purpose of this study is to better understand …

Femtosecond Laser–Inscribed Fiber Bragg Grating Sensors: Enabling Distributed High- Temperature Measurements And Strain Monitoring In Steelmaking And Foundry Applications, Ogbole Collins Inalegwu, Yeshwanth Reddy Mekala, Rony Kumer Saha, Farhan Mumtaz, Dinesh Reddy Alla, Deva Prasaad Neelakandan, Jeffrey D. Smith, Ronald J. O'Malley, Rex Gerald, Jie Huang

PSMRC Faculty Research

This study demonstrates the use of fiber Bragg grating (FBG) sensors for distributed temperature and strain monitoring in steelmaking and foundry applications. Integrated into inexpensive optical fibers, FBGs offer accurate and real-time remote sensing, detecting shifts in wavelength due to temperature (up to 1,800 °C), strain, or structural wear and tear. Furthermore, the intrinsic features of FBG sensors: compact size, immunity to electromagnetic interference and corrosion, robustness to vibration, ease of integration into existing composite structures, and non-intrusive measurement capacity in harsh environments make them ideal for steelmaking. FBGs optimize production, ensure quality, and enhance safety within the steel industry.

Advancing Environmental Engineering: The Role Of Artificial Intelligence In Sustainable Solutions - A Short Review, Amirreza Talaie, Hesam Kamyab, Ashkan Razmfarsa

Management Faculty Publications

Artificial intelligence (AI) has emerged as a transformative force in environmental engineering, offering innovative solutions to complex environmental challenges. From air pollution monitoring and water resource management to waste management, climate change mitigation, and ecological preservation, AI is revolutionizing the way we address environmental issues. Machine learning, neural networks, and other AI technologies are enabling more accurate predictions, optimizing resource use, and improving conservation efforts. However, despite its many advantages, AI also faces challenges such as data availability, energy consumption, ethical concerns, and the need for transparency. This review explores the diverse applications of AI in environmental engineering, highlighting the …

Autonomous Strike Uavs For Counterterrorism Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

UAVs are becoming a crucial tool in modern warfare, primarily due to their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. The use of autonomous UAVs to conduct strike missions against highly valuable targets is the focus of this research. Due to developments in ledger technology, smart contracts, and machine learning, such activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of challenges and potential solutions for successful implementation of an autonomous UAV mission.

Flexible Fitting Of Alphafold2-Predicted Models To Cryo-Em Density Maps Using Elastic Network Models: A Methodological Affirmation, Maytha Alshammari, Jing He, Willy Wriggers

Computer Science Faculty Publications

Motivation: This study investigates the flexible refinement of AlphaFold2 models against corresponding cryo-electron microscopy (cryo-EM) maps using normal modes derived from elastic network models (ENMs) as basis functions for displacement. AlphaFold2 generally predicts highly accurate structures, but 18 of the 137 models of isolated chains exhibit a TM-score below 0.80. We achieved a significant improvement in four of these deviating structures and used them to systematically optimize the parameters of the ENM motion model.

Results: We successfully refined four AlphaFold2 models with notable discrepancies: lipid-preserved respiratory supercomplex (TM-score increased from 0.52 to 0.69), flagellar L-ring protein (TM-score increased from 0.53 …

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

Autonomous Strike Uavs In Support Of Homeland Security Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming crucial tools in modern homeland security applications, primarily because of their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. This study focuses on the use of autonomous UAVs to conduct, as part of homeland security applications, strike missions against high-value terrorist targets. Owing to developments in ledger technology, smart contracts, and machine learning, activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of the challenges and preliminary solutions for the successful implementation of an autonomous UAV mission. Specifically, we …

Enhanced Skin Cancer Diagnosis Through Grid Search Algorithm-Optimized Deep Learning Models For Skin Lesion Analysis, Rudresh Pillai, Neha Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Saurav Malik, Hong Qin, Mohammed S. Alqahtani, Amel Ksibi

Computer Science Faculty Publications

Skin cancer is a widespread and perilous disease that necessitates prompt and precise detection for successful treatment. This research introduces a thorough method for identifying skin lesions by utilizing sophisticated deep learning (DL) techniques. The study utilizes three convolutional neural networks (CNNs)-CNN1, CNN2, and CNN3-each assigned to a distinct categorization job. Task 1 involves binary classification to determine whether skin lesions are present or absent. Task 2 involves distinguishing between benign and malignant lesions. Task 3 involves multiclass classification of skin lesion images to identify the precise type of skin lesion from a set of seven categories. The most optimal …