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Development Of A Non-Faradaic Impedimetric Biosensor Based On Reduced Graphene Oxide For The Detection Of Brain-Derived Neurotrophic Factor (Bdnf), Mariana N. Martins

Electronic Theses and Dissertations

Neurological disorders affect millions of people worldwide. In the case of Alzheimer’s disease (AD), the rising number of cases significantly increases global healthcare costs. Therefore, early detection of biomarkers at the onset of the disease is essential for early diagnosis. This study presents an electrochemical biosensor designed for the detection of Brain-Derived Neurotrophic Factor (BDNF) in human plasma, incorporating reduced graphene oxide (rGO) to enhance signal sensitivity. Dielectrophoresis (DEP) was employed to deposit rGO flakes on the electrode surface, improving conductivity and sensor performance. Electrochemical impedance spectroscopy (EIS) was used to monitor changes in impedance associated with BDNF binding events, …

Reproducibility In Modeling Of Knee Joint Mechanics, Maryam Nazem

Electronic Theses and Dissertations

Computational modeling of knee joint biomechanics can provide valuable insights into joint function, injury mechanisms, and patient outcomes, and can support surgical planning and informed clinical decision-making. However, achieving consistent and repeatable results, or reproducibility, is a significant challenge that affects the credibility of these models. This thesis addresses reproducibility through two studies related to the KneeHub Project, which is a multi-institutional collaboration designed to investigate reproducibility in finite-element modeling of the knee.

The first study involved model benchmarking, where predicted results of the calibrated models were compared with the experimental data to evaluate model reproducibility. While all models replicated …

A Novel Drug-Loaded Injectable Hydrogel System Using Oxidized Inulin And Pluronic F-127 With Β-Cyclodextrin Nanocrystals For Ocular Defect Treatment, Salama Al Dhaheri

Thesis/ Dissertation Defenses

The human eyes have the most complex and advanced defence mechanisms. Due to this barrier, efficient treatment of ocular disorders is always a crucial issue, especially while treating the posterior segment of the eyes. Most of the diseases occurring in the posterior segment of the eyes include age-related macular degeneration, retinitis, diabetic retinopathy and uveitis. Topical and systemic administration of drugs, intravitreal injection, and insertion of non-biodegradable implants are several different approaches employed to treat ocular diseases. These methods have shown promising results in treating age-related macular degeneration but require higher dosage and multiple administration of the drug to the …

Bioactive Membrane System For Efficient Emerging Pollutants Treatment, Ayat El Telib El Tayeb

Thesis/ Dissertation Defenses

Emerging pollutants (EPs), such as pharmaceuticals and personal care products, are increasingly detected in municipal wastewater due to household discharge and improper industrial disposal. Their persistence and ecological risks pose major challenges to conventional treatment technologies. Among advanced options, membrane filtration, particularly microfiltration and ultrafiltration, has gained prominence for its efficiency and scalability. However, membrane fouling, especially biological and chemical fouling, remains a critical barrier, accounting for nearly half of total energy consumption and requiring frequent use of harsh chemical cleaning agents that further burden the environment.

This PhD research addresses these challenges by developing and evaluating hybrid bioactive enzyme-active …

Water Quality Assessment Of The Tigris River In Baghdad Using The Canadian Council Of Ministers Of The Environment Water Quality Index (Ccme-Wqi), Talib Kamil Abed, Muwafaq Hussein Al-Lami, Abass J. Kadhem, Moayed Nasser Muslim, Zainab Bahaa Mohammed

AUIQ Technical Engineering Science

The objective of this study was to assess the water quality of the Tigris River in Baghdad and its northern areas through the application of the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI). The study was conducted over two distinct periods representing dry (summer) and wet (winter) seasons over a 12-month period in 2021, encompassing nine strategic sampling sites along the river from Al-Karkh to Al-Wihda. Water samples were analyzed for sixteen physicochemical parameters including turbidity, alkalinity, total hardness, major ions, nutrients, and trace metals. The study revealed that water quality ranged from poor to marginal …

Cytotoxicity And Genotoxicity Of Glyphosate And Roundup Quickpro On Chinese Hamster Ovary Cells, Tasnimul Ferdous, Qingfang He, Wen Zhang

Civil Engineering Faculty Publications and Presentations

Glyphosate and Roundup products have become the most used herbicide worldwide. However, previous bans in Europe and recent reversal have caused confusion over their safety. This study aims to investigate the cytotoxic and genotoxic effects of Roundup QuickPro and its main ingredient glyphosate using Chinese hamster ovary (CHO) cells. Cytotoxicity was calculated by measuring CHO cell viability with 72 h of exposure to each toxicant. Roundup QuickPro exhibited higher cytotoxicity with LC50 of 511.2 mu g/mL than glyphosate's LC50 of 3389 mu g/mL. The recommended application concentration (11,233.7 mu g/mL) of Roundup QuickPro is much higher than the measured LC50, …

Bending Energy Schemes For Discrete-Spring-Network Structural Modelling Of Red Blood Cells, Osayomwanbor Ehi-Egharevba, Mingzhu Chen, Fergal Boyle

Articles

Red blood cells (RBCs) undergo large structural deformation, including bending, when passing through capillaries. They also exhibit a range of complex shapes such as stomatocytes, discocytes and echinocytes that form due to altered blood pH and salt levels, ingested drugs and adenosine triphosphate depletion. Discrete-spring-network structural models of RBCs employ different numerical treatments of the continuum bending energy. This affects bending accuracy and the prediction of accurate RBC shapes. This research compares three representations called bending energy scheme (BES) A, B and C to evaluate their accuracy in shape predictions. BES A, seen throughout the literature, is based on the …

Data-Centric Ai For Eeg-Based Emotion Recognition: Noise Filtering And Augmentation Strategies, Nadieh Moghadam, Rana Hegazy

School of Engineering: Faculty Scholarship

Research in the biomedical field often faces challenges due to the scarcity and high cost of data, which significantly limit the development and application of machine learning models. This paper introduces a data-centric AI framework for EEG-based emotion recognition that emphasizes improving data quality rather than model complexity. Instead of proposing a deep architecture, we demonstrate how participant-guided noise filtering combined with systematic data augmentation can substantially enhance system performance across multiple classification settings: binary (high vs. low arousal), four-quadrant emotions, and seven discrete emotions. Using the SEED-VII dataset, we show that these strategies consistently improve accuracy and F1 scores, …

Advanced Plant Growth Using Halloysite Nanotubes (Hnts) And Waste Extraction For Medical Applications, Zeinab Jabbari Velisdeh

Doctoral Dissertations

This dissertation presents an integrated research framework that bridges nanotechnology, green chemistry, and sustainable agriculture, aiming to address two critical global challenges: enhancing plant growth under resource-limited conditions and valorizing agricultural waste for bioactive compound extraction. The study is divided into three major projects that together highlight the innovative application of magnesium oxide-coated halloysite nanotubes (MgO-HNTs) and the development of environmentally conscious extraction methods for high-value phytochemicals. The first component of this work investigates the design, fabrication, and functional evaluation of MgO-HNTs as advanced nanocarriers for promoting seed germination and early root development in tomato plants. MgO-HNTs were synthesized via …

Exploring The Effectiveness Of Virtual Reality Learning Through Use Of Visual Eye-Tracking Analytics (Veta) And Biological Measurements, Mckinley Anne Sherman

Master's Theses

Virtual Reality (VR) offers an immersive and interactive platform for experiential learning. The purpose of this thesis was to evaluate the relationship between physiological responses and cognitive workload within a VR learning environment and to explore VR as an effective instructional tool. This research compared participant engagement, stress, and learning performance within a 6th-grade science module developed in VR by incorporating biometric data collected via Polar H10 heart rate monitor and Varjo Areo VR headset eye-tracking. Thirty-three participants completed a pre-lesson demographic survey, post-lesson survey, VR sickness questionnaire, and the NASA Task Load Index (NASA-TLX). While completing the lesson, the …

Inverse Design For Generating Initial Conditions In Scientific Simulations, Leslie Horace, Christin Whitton, Vanessa Job, William Jones, Nathan A. Debardeleben

Computing Sciences

We propose a conditional normalizing flow (CNF) surrogate model to solve generative, many-to-one inverse problems in scientific simulations governed by partial differential equations (PDEs) with time-evolving interactions between heterogeneous materials. We present two case studies: electrostatic potential and heat diffusion, which serve as proxy simulations for generating diverse sets of initial conditions that can reproduce an observed output state (transient or steady). Finally, we provide a comprehensive overview of the synthetic datasets, the model specification, each stage of the experimental workflow, evaluation of training performance, and uncertainty quantification for the generated samples.

Applied Research In Field Crop Pathology For Indiana, 2024, Darcy E. P. Telenko, Sujoung Shim

Purdue University Press Books

Applied Research in Field Crop Pathology for Indiana, 2024 serves as a summary of the applied field crop pathology research trials conducted in 2024 under the direction of the Purdue Field Crop Pathology program in the Department of Botany and Plant Pathology at Purdue University. In Indiana, there are more than 57,600 farms, 16,000 crop producers, and 900 certified crop advisers, Extension educators, and crop-protection industry representatives who manage more than 11.4 million crop-production acres with a total value of $6.3 billion annually. There are more than twenty diseases affecting corn, soybeans, and wheat that may decrease crop production and …

Treatment Intensification Of Digester Dewatering Sidestreams Via Pilot- And Demonstration-Scale Revolving Algal Biofilms At Municipal Water Resource Recovery Facilities, Audrey E. Kocher, Hunter W. Schroer, Christopher A. Marks, Craig L. Just

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

As water resource recovery facilities (WRRFs) pursue decarbonization, the treatment of concentrated side streams from anaerobic digestion offers a critical opportunity to reduce energy use and greenhouse gas emissions. This study evaluated the intensification potential of revolving algal biofilms (RAB) for side stream nutrient removal via partial nitrification at pilot- and demonstration-scales. RAB systems were deployed at municipal WRRFs in Boulder and Iowa City, treating real dewatering side streams across a range of ammonium (NH4⁺–N) surface area loading rates (SALR) reaching up to 196 g N m^–2d^–2. The results demonstrated that RAB systems can …

Evaluating Igf1 And Igf1-R Levels As Risk-Related Indicators And Early Detection Tools In Estrogen Receptor–Positive Breast Cancer, Randa M. Lua’I, Khawla A. Kasar, Marwa A. Hassan

AUIQ Technical Engineering Science

Breast cancer (BC) remains one of the most common malignancies in women, with its development strongly influenced by hormonal and growth factor signaling. The insulin-like growth factor 1 (IGF1) and its receptor (IGF1-R) are increasingly recognized as key contributors to breast carcinogenesis, particularly in relation to estrogen receptor (ER) status. This study aimed to evaluate circulating IGF1 and IGF1-R levels among Iraqi women with BC and to explore their diagnostic and biological relevance. A total of 90 participants were enrolled, including 65 patients with histologically confirmed BC (41 ER-positive and 24 ER-negative) and 25 healthy controls. Serum concentrations of IGF1 …

Cv: Young "Paul" Kim (Computer Engineering), Young "Paul" Kim

ECaMS Department Faculty Curricula Vitae

No abstract provided.

Locations Of Outfalls In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_Outfalls_IRL_LWL.shp was created under grants from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL).

The dataset presented here includes the location of outfalls identified throughout the study region and general characteristics of the shoreline where they were identified.

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_seagrasspersistence_IRL_LWL.shp was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

Design And Implementation Of Home Energy Management System (Hems) In Smart Grid Through Demand Side Management (Dsm), Nirmala Jegadeesan Ms

Theses and Dissertations

The rising global energy demand, combined with environmental concerns and the depletion of conventional energy sources, has driven the need for the development of smarter and more sustainable energy systems. This research focuses on Home Energy Management System (HEMS) using soft computing techniques to optimize load scheduling, enhance energy efficiency, and integrate Renewable Energy Sources (RES) such as solar and battery storage. The primary goal is to balance supply and demand, reduce peak loads, and minimize energy costs while ensuring consumer comfort and system reliability.

Smart grids provide enhanced capabilities compared to conventional grids by enabling bidirectional flows of energy …

A Robust And Energy-Efficient Federated Ids For Iiot Using Spiking Neural Networks And Differential Evolution With Adversarial Resilience, Mohammad Othman Nassar

Iraqi Journal for Computer Science and Mathematics

The Industrial Internet of Things (IIoT) is faced with increasing cybersecurity threats that require lightweight, fast, and resilient intrusion detection systems (IDS). This study presents a novel federated IDS framework that integrates federated learning (FL), Spiking Neural Networks (SNNs), and differential evolution (DE). The use of SNNs within a federated context is a rare and innovative contribution that enables effective temporal feature extraction from IIoT traffic. DE is employed as a global optimization mechanism, enhancing robustness and generalization beyond conventional federated aggregation. To further strengthen resilience, synthetic adversarial noise is injected during training, allowing evaluation in realistic poisoning scenarios. The …

A Study Of Nonlinear Duffing Equations Using The Haar Wavelet Method, Kumbinarasaiah S., Yeshwanth R., Nandeesh K C.

Mansoura Engineering Journal

The main goal of this study is to solve Duffing equations, which are nonlinear differential equations (DEs), using the Haar wavelet technique. The solutions to this equation for an externally pushed and damped oscillator show intriguing dynamic behavior. Mathematicians have recently become more interested in wavelet analysis because of its real-world applications. A few real-world problems have been considered to assess the current methodology. Here, the (OMI) Operational Matrix of Integration and collocation points transform the non-linear ODEs into a system of nonlinear algebraic equations. The resulting system of algebraic equations is then solved using the Newton-Raphson technique to retrieve …

Enhancing Nitrogen Removal In High Permeability Bioretention Media: The Combined Role Of Biochar, Wood Chips And Hydraulic Design, Joshelyn Guimaray

USF Tampa Graduate Theses and Dissertations

Urban stormwater runoff can transport high nutrient loads to receiving waters, leading toeutrophication, harmful algal blooms, and the formation of hypoxic zones. Bioretention systems are a form of green infrastructure designed to mitigate these impacts, but their application in dense, ultra-urban environments is often limited by large land area requirements. This has led to the adoption of high permeability media (HPM) to accommodate higher hydraulic loading rates (HLRs) and reduce the system footprint. However, conventional HPM systems often show inconsistent removal of dissolved nitrogen species due to short hydraulic retention times (HRTs), a lack of organic carbon, and insufficient anoxic …

Encapsulation Of Corrosion Inhibitors: Methods, Preparation, And Emerging Applications, Mahdi M. Hanoon, Baha. S. Mahdi

AUIQ Technical Engineering Science

Corrosion remains a critical global challenge, imposing substantial economic, safety, and environmental burdens across infrastructure, transportation, marine, and energy sectors. Traditional corrosion inhibitors, while effective, suffer from rapid depletion, uncontrolled release, environmental risks, and limited long-term stability. Encapsulation of corrosion inhibitors has emerged as a transformative strategy, enabling controlled and stimuli-responsive release, improved stability, and self-healing capabilities. This mini review provides a comprehensive overview of encapsulation technologies, including polymeric microcapsules, inorganic carriers, hybrid systems, and advanced nanoengineering approaches. Preparation methods, ranging from physical and chemical routes to emerging microfluidic and electrospinning techniques, are critically examined. Furthermore, the article highlights state-of-the-art …

Resonant Body Communication For Neurodivergent Contexts: A Multimodal, Temporally Elastic Blueprint For Inclusive Biometric Systems, Piper Hutson, James Hutson

Faculty Scholarship

Prevailing emotion-sensing systems privilege a facial-and-gaze paradigm that encodes neurotypical tempo, channel priority, and expression classes, thereby mischaracterizing or erasing neurodivergent communication. This article advances a design-oriented framework for biometric sensing that centers resonant body communication: temporally extended, multimodal, and environmentally situated patterns of posture, gesture, rhythm, and interoception that carry affective meaning. Through an integrative methodology that synthesizes cognitive neuroscience, embodied arts practices, and human–computer interaction, the study formalizes a theoretical model with four pillars: temporal elasticity, multimodal sensory hierarchies, resonant gestures and rhythmic entrainment, and environmental attunement. Building on this model, the article specifies technical requirements for next-generation …

Multiscale 3d Whole Joint Cellular And Molecular Mapping Reveals Disease-Specific Neurovascular Plasticity Underlying The Structure-Pain Relationship, Peng Chen, Jiaxin Chai, Abirami Soundararajan, R. Glenn Hepfer, Benjamin Kheyfets, Jiaxin Hu, Ishraq Alshanqiti, Swarnalakshmi Raman, Ikue Tosa, Jun Tae Huh, Matthew Yee, Brooke J. Damon, Shangping Wang, Yu Shin Kim, Man-Kyo Chung, Mildred C. Embree, Janice S. Lee, Tong Ye, Hai Yao

Publications

Understanding musculoskeletal joints from a 3D multiscale perspective, from molecular to anatomical levels, is essential for resolving the confounding relationships between structure and pain, elucidating mechanisms regulating joint health and diseases, and developing new treatment strategies. Here, a musculoskeletal joint immunostaining and clearing (MUSIC) method specifically developed to overcome key challenges of immunostaining and optical clearing of intact joints are introduced. Coupled with large-field light sheet microscopy, this approach achieves 3D high-resolution, microscale neurovascular mapping within the context of whole-joint anatomy without the need for image coregistration across various joints, including temporomandibular joints, knees, and spines, and multiple species, including …

Photochemical And Electrochemical Assessment Of Uio-66-Nh₂/G-C₃N₄ Thin-Film Heterostructures As Potential Candidates For Hydrogen Evolution: An Experimental Study Augmented By Dft Insights, Nour Abouseada, Maryam Galal, Sameh O. Abdellatif, Khaled Kirah

Electrical Engineering

The global shift towards carbon-neutral energy systems has catalyzed an intensified focus on sustainable hydrogen production, with photo and electrochemical water splitting emerging as a particularly promising pathway. This study elucidates the design, simulation, and synthesis of advanced photo and electrocatalytic materials tailored for the hydrogen evolution reaction (HER), concentrating on heterostructures formed by zirconium-based metal-organic frameworks (MOFs)— specifically, UiO-66 and its amine-functionalized derivative, UiO-66-NH₂—in conjunction with graphitic carbon nitride (g-C₃N₄). Employing density functional theory (DFT) simulations, we pre-screened the electronic properties of the MOFs, revealing that amine functionalization significantly narrows the bandgap and optimizes band alignment, thereby enhancing photocatalytic …

Enhanced Air Hockey Robot Performance Through Adaptive Control Algorithim Using Ai-Based Hierarechal Decicion Archeticture, Ayham Majed Salim

Theses

This thesis presents the development of an intelligent air hockey robot that combines precise mechanical design, computer vision, and adaptive control within an AI-based hierarchical decision architecture. The system integrates synchronized stepper motors, high-speed image processing, and a real-time decision framework to achieve competitive gameplay performance. The robot detects the puck using adaptive HSV color segmentation, supported by dynamic calibration that maintains accuracy under different lighting conditions. A two-stage trajectory prediction model, based on exponential decay velocity estimation, enables anticipation of puck motion and improves response time during fast gameplay.

At the decision level, a fuzzy-logic supervisor governs the robot’s …

A Comprehensive Overview Of Chronic Wound Infections And Current Treatment Methods, Sarah Fakher, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

Chronic wound infections pose significant healthcare challenges due to persistent biofilms, antibiotic resistance, and impaired healing pathways. These wounds are characterized by prolonged inflammation, microbial colonization, and disrupted tissue regeneration, leading to substantial morbidity and healthcare costs. This article reviews current knowledge on chronic wound types, their pathophysiology, and the mechanisms underlying biofilm formation to examine the latest advancements in antimicrobial-based strategies aimed at addressing these challenges. It highlights how diverse materials and technologies have been engineered to improve infection management, enhance tissue regeneration, and overcome the limitations of traditional treatments as well as advances that leverage innovations such as …

Intelligent Real-Time Flotation Froth Stability Monitoring Using Embedded Computer Vision: Lead (Pb) Processing Case Study, Ahmed Bendaouia, Taha Ismaili, Ismail Najib, Oussama Hasidi, Intissar Benzakour, Jianzhi Li, El Hassan Abdelwahed

Manufacturing & Industrial Engineering Faculty Publications

Froth stability in flotation refers to the ability of the froth layer to remain intact and avoid collapsing during the flotation process. A stable froth layer is crucial to maximizing mineral recovery and ensuring the efficient operation of flotation cells. Several factors influence the stability of the froth, including the depth of the froth, the crowding, the size of the bubbles, and the rate of movement of the froth. In this study, our main objective is to analyze and evaluate froth stability in real time, since it plays a critical role in process optimization for flotation-based mineral processing. We propose …

Intelligent Decision-Making Systems In Smart Greenhouses, Muso Berdiyor Ugli Allanov

Chemical Technology, Control and Management

Smart greenhouses offer a solution to sustainable food production under climate uncertainty, yet their management often depends on fixed rules or human intuition. This study proposes an intelligent decision-making framework that integrates optimization, simulation, and a neural set into a self-learning system. By generating “conditionally real data” through simulation and evolutionary algorithms, the system can predict microclimatic changes and optimize control of water, energy, and nutrients. Continuous digital feedback enables adaptive, data-efficient operation even with limited real data. Experimental results demonstrate reduced resource use and improved yield stability, advancing the development of autonomous and resilient greenhouse ecosystems.

Few-Layered Conductive Graphene Foams For Electrical Transdifferentiation Of Mesenchymal Stem Cells Into Schwann Cell-Like Phenotypes, Ekin G. Simsar, Peifu Cheng, Tugce Dogruel, Maxsam Donta, Juhyung Jung, Naomi A. Asante, Donald S. Sakaguchi, Surya K. Mallapragada, Piran R. Kidambi, Metin Uz

Chemical & Biomedical Engineering Faculty Publications

This study investigates the potential of few-layered conductive graphene foams as 3D platforms for the electrical transdifferentiation of mesenchymal stem cells (MSCs) into Schwann cell (SC)-like phenotypes for peripheral nerve injury (PNI) treatment. The 3D graphene foams (3D-GF) are cytocompatible with MSCs and created a favorable microenvironment for the cells to attach, grow, proliferate, and transdifferentiate. We demonstrated that MSCs cultured within 3D-GF can be transdifferentiated into SC-like phenotypes using the synergistic effects of electrical stimulation and 3D porous and conductive structure. Our immunocytochemistry and gene expression analyses showed the expression of Schwann cell markers and enhanced secretion of growth …