Digital Commons Network^™

Improving Heart Attack Prediction Accuracy Performance Using Machine Learning And Deep Learning Algorithms, Mosleh Hmoud Al-Adhaileh, Mohammed Ibrahim Ahmed Al-Mashhadani, Eidah M Alzahrani, Theyazn H.H. Aldhyani

Iraqi Journal for Computer Science and Mathematics

Accurate classification of cardiovascular diseases (CVDs) is of utmost importance for cardiologists to provide appropriate treatments. Diagnosing and predicting cardiovascular conditions are crucial medical responsibilities in this context. The healthcare sector is increasingly utilizing deep learning (DL) and machine learning (ML) algorithms due to their ability to identify patterns in data. Diagnosticians may reduce the number of misdiagnoses by using DL and ML techniques for the categorization of cardiovascular disease incidence. To reduce the mortality linked to CVDs, this research offers a unique model that properly predicts and classifies these problems. This research presents approaches such as deep learning, random …

A Lightweight U-Net Model For Accurate Skin Lesion Segmentation, Fallah H. Najjar, Karrar A. Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, Asniyani Nur Haidar Abdullah

Iraqi Journal for Computer Science and Mathematics

In this paper, a new lightweight U-Net deep learning-based neural network designed for the segmentation of skin lesions is proposed. Segmentation of skin lesions is the most critical step in computer-aided dermatology diagnosis for the early detection of melanoma and other diseases. However, we address the difficulty related to the precise definition of the lesion margins with an eye on the computation cost. We have demonstrated the state-of-the-art performance of DeepSkinSeg in most metrics on dermoscopic images using the PH2 and Human Against Machine (HAM10000) datasets. The metrics of the DeepSkinSeg model were robustness measured as the Intersection over Union …

The Role Of Counter Electrode In Perovskite Solar Cell On Silicon Substrate To Enhance Power Conversion Efficiency For Cmos-Compatible Applications, Sameh O. Abdellatif, Eman Sawires

Electrical Engineering

This study investigates the impact of various counter-electrode materials on the overall power conversion efficiency (PCE) of perovskite solar cells (PSCs) fabricated on silicon substrates. We examined four distinct configurations using fluorine-doped tin oxide (FTO) as bare cell, copper (Cu), aluminum (Al), and highly p-doped silicon wafers as counter electrodes. The results indicate that the PSCs with Cu achieved the highest short-circuit current density (JSC) of 17.11 mA/cm2, while the p-doped silicon and aluminum showed lower JSC values of 16.19 mA/cm2 and 16.51 mA/cm2, respectively. Open-circuit voltage (VOC) values remained competitive across all cells, with FTO achieving a VOC of …

Aerosol Technology For Carbon Capture And Utilization, Onochie Chinedum Okonkwo

McKelvey School of Engineering Graduate Student Theses & Dissertations

The CO2 concentration in the atmosphere has continued to increase over the past century and now poses an increasing potentially catastrophic effect to human life and the environment via global warming and the concomitant effect of climate change. Anthropogenic carbon dioxide emissions due to fossil fuel combustion for increasing energy demand is the main driver for the increased carbon dioxide in the atmosphere. A multifaceted approach including carbon dioxide capture and utilization is required to mitigate anthropogenic carbon dioxide emissions. Aerosol science and technology, an enabler for clean combustion technologies and nanomaterial synthesis, can contribute significantly to the advancement of …

Applications Of Clustered Regularly Interspaced Short Palindromic Repeats In Food Security And Nutraceuticals, Rukayat Abiodun Oyegoke, Jahswill Toluwanimi Osifade, Adenike Temidayo Oladiji

Al-Bahir

The CRISPR/Cas9 system is a revolutionary genome-editing tool that enables precise and inheritable modifications, transforming plant genetic engineering. Previous literature has indicated that, in agriculture, CRISPR has improved crop yield, biofortification, and resistance to environmental stressors, fostering resilient and high-yielding crops essential for sustaining a growing global population. In nutraceuticals, CRISPR has enhanced the biosynthesis of bioactive compounds such as anthocyanins, flavonoids, and omega-3 fatty acids, improving the nutritional and therapeutic value of crops.

Despite its immense potential, CRISPR technology faces technical, ethical, and regulatory challenges, including off-target effects, accessibility concerns, and public acceptance. Addressing these issues is crucial for …

How Can The Adoption Of Biodegradable Packaging In The Beverage Industry Specifically Contribute To Reducing Single-Use Plastic Waste, And What Regulatory Or Cost-Related Challenges Hinder Its Widespread Implementation In Developing Countries?, Rebecca Aba Gaisie

2025 Awards for Excellence in Student Research and Creative Activity - Documents

This research investigates the potential of biodegradable packaging to reduce single-use plastic waste in the beverage industry and explores the regulatory and cost-related barriers to its adoption in developing countries. The beverage sector is a major contributor to global plastic pollution, and biodegradable alternatives offer a promising path toward sustainability. Using a mixed-methods approach, this study combines qualitative interviews with industry experts and case studies of businesses implementing biodegradable solutions, alongside quantitative survey data from 100 manufacturers and 200 consumers across Africa, Asia, and Latin America. Findings reveal that while biodegradable packaging significantly reduces plastic waste and appeals to environmentally …

Securing Biometric Data, Alyssa F. Carroll

Cybersecurity Undergraduate Research Showcase

Biometric data has been widely adopted across various sectors, including digital identity, artificial intelligence (AI), border control, digital wallets, and national identification systems. While biometric identifiers—such as fingerprints, retina scans, and facial recognition—offer reliable and convenient authentication, they also raise significant concerns regarding privacy and security. This paper examines how biometric data is stored, the vulnerabilities it faces, and the most effective methods for safeguarding it. By highlighting the critical importance of biometric data protection, this study reviews current research on approaches, strategies, and policies that enhance security while preserving the functionality and efficiency of biometric systems.

Investigation Of Surface Quality And Productivity In Precision Hard Turning Of Aisi 4340 Steel Using Integrated Approach Of Ml-Moora-Pso, Adel T. Abbas, Neeraj Sharma, Khalid Alqusaibi, Mohamed Abbas, Rakesh Sharma, Ahmed Elkaseer

Mechanical Engineering

AISI 4340 steel has applications in gun barrels, where the surface quality of the barrel is the prime factor. This study explores the application of a machine learning (ML) approach to optimize the precision turning of an AISI 4340 steel alloy using both conventional and wiper tool nose inserts under varying cutting parameters, such as cutting speed, depth of cut, and feed rate. The analytical framework integrates experimental machining data with computational algorithms to predict key output parameters: surface roughness (Ra) and material removal rate (MRR). A Multi-Objective Optimization based on Ratio Analysis (MOORA) method is used for data normalization. …

Sustained Release Of Antifibrotic Nintedanib From Polymer Microparticles Reduces Dosing Frequency While Reducing Inflammation In Murine Idiopathic Pulmonary Fibrosis, Emmanuel Einyat Opolot, Filip Goshevski, Rahul Chaudhary, Horst A. Von Recum, Amar B. Desai

Faculty Scholarship

Purpose: Idiopathic pulmonary fibrosis (IPF) is a life-threatening, progressive lung disease with limited therapeutic options, often resulting in poor patient outcomes. Current treatments, such as Nintedanib (NTB) and Pirfenidone (PFD), require frequent administration, leading to adverse effects and low patient adherence. The purpose of this study was to investigate a sustained-release drug delivery system utilizing microparticles (MPs) composed of insoluble beta-cyclodextrin (β-CD) polymers to enhance the bioavailability and extend the release of NTB and PFD. Methods: A multidisciplinary approach, including in silico modeling, in vitro assays, and in vivo studies, was employed to assess the efficacy of β-CD-polymer MPs as …

Utilizing Machine Learning To Predict The Charge Storage Capability Of Lithium-Ion Battery Materials, Manoj Chhetri, Karen S. Martirosyan

Physics & Astronomy Faculty Publications

With the increasing demand for high-performance batteries in applications such as electric vehicles and portable electronics, accurately predicting the charge storage capacity of battery materials is crucial for developing more efficient and reliable energy storage systems. Machine Learning (ML) and data-driven approaches, plays a vital role in enhancing our understanding of Li-ion battery performance, guiding materials design, optimizing system efficiency, and accelerating innovation in energy storage technologies. In this study, an ML-based approach was applied to a dataset of 2345 rechargeable Li-ion battery materials, obtained from the Materials Project online portal, to predict gravimetric charge storage capacity ─ a key …

Evaluating The Effects Of Oxidative Stress On Primary Retinal Pigment Epithelial Cells, Sophia Hessami

Student Research Symposium

Introduction

Age-Related Macular Degeneration (AMD) is the leading cause of vision loss worldwide, affecting 200 million adults over the age of 40

• Affects subretinal layers: retinal pigment epithelium (RPE), Bruch’s membrane, and choroid (Fig. 1)

Problem: Early mechanisms of AMD are not well understood; oxidative stress is often cited as a key contributing factor to the development of AMD.3 Current studies neglect to use primary RPE cells when investigating oxidative stress.

Oxidative Stress occurs when there is an imbalance between reactive oxygen species (ROS) production and cellular antioxidant defenses

• Overabundance of ROS results in damage to tissue and …

Sustainable Poultry Farming: A Concept Of Iot-Based Poultry Management System For Small-Scale Farmers, Ayodeji Akinsoji Okubanjo, Ignatius Kema Okakwu, Olufemi Peter Alao, Nurudeen Samuel. Lawal, Ayoola Abiola Babalola, Abisola Olayiwola

Al-Bahir

Conventional poultry management techniques are failing to meet increased demand for poultry products as the population continues to grow. As a result, this issue has become a major concern for small-scale farmers, particularly those in low-income areas, in terms of food security. One of the main reasons for this is that the farmers rely on intensive farming methods which are inefficient for automating daily poultry operations. However, intensive farming methods pose major environmental concerns to ecosystems and poultry health. Also, the environmental conditions, welfare, and productivity of poultry operations may be harmed by the global climate crisis and poultry waste …

Electric Field Profiles Under High Voltage Overhead Transmission Lines With Under-Build Distribution Circuit, Aminu Haruna

Electrical Engineering Theses

The increasing use of underbuilt lines in recent transmission projects alters electric field profile under transmission lines. By assessing electric field intensity in these transmission and distribution network configurations, the study identifies regions with high electric fields that may exceed standard exposure limits, posing potential risks. This work employs the charge simulation method and the method of imaging to analyze electric fields beneath transmission lines with underbuilt distribution networks. Key objectives include calculating the electric fields at 1 meter above ground, and evaluating the field at conductor surfaces. The study considers transmission line voltages of 69kV, 161kV, 220kV, 345kV and …

Effects Of Wetting Events On Mass Timber Surface Microbial Communities And Voc Emissions: Implications For Building Operation And Occupant Well-Being, Gwynne Á. Mhuireach, Susan Collins, Leslie Dietz, Patrick Finn Horve, Aurélie Laguerre, Dale Northcutt, Jason Stenson, Kevin Van Den Wymelenberg, Elliott Gall, Mark Fretz

Mechanical and Materials Engineering Faculty Publications and Presentations

IntroductionHumans have used wood as a construction material throughout history. Currently, mass timber products, such as cross-laminated timber (CLT), are becoming more popular as a structural material, since they are renewable and have a lower carbon footprint than concrete or steel. Nonetheless, some building types, such as healthcare, veterinary, and food manufacturing, avoid using structural mass timber due to concerns about microbial growth in the event of wetting. One solution is to use protective coatings on mass timber products to increase moisture resistance, although the coatings themselves may generate concerns about volatile organic compound (VOC) emissions. Natural uncoated wood also …

Ai-Powered Health & Nutrition Dashboard: Enhancing Personalized Wellness With Ai*, Jennisha Patel

Campus Research Month

This research presents an AI-powered dashboard designed to enhance personalized wellness through customized meal and exercise planning. Leveraging Dash Plotly for interactive visualization and Google Gemini AI for dynamic recommendation generation, the dashboard integrates user inputs for fitness goals, dietary preferences, and health conditions, alongside body metrics (gender, age, weight, height, activity level). Initially developed with rule-based filtering, the system evolved to incorporate AI for improved accuracy and scalability in managing large-scale food and exercise datasets. This project demonstrates the potential of AI to democratize access to personalized wellness insights. For educational purposes only; not verified by medical professionals.

Comparative Analysis Of Vertical And Horizontal Subsurface Flow Constructed Wetlands For Eutrophication Mitigation", Ali M. Ahmed

Al-Bahir

Constructed wetlands (CWs) serve as a sustainable and eco-friendly solution for wastewater treatment, particularly in the removal of eutrophication-causing pollutants. This review focuses on the comparative performance of Vertical Flow (VF) and Horizontal Flow (HF) Subsurface Flow (SSF) systems, assessing their efficiency in removing Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Nitrogen (TN), and Total Phosphorus (TP). VF systems demonstrate superior pollutant removal, particularly for nitrogen, due to enhanced aeration and efficient oxygenation processes. In addition, their compact design reduces land area requirements, making them advantageous in space-limited applications. Conversely, HF systems are more effective at supporting nutrient …

Aqueous Extracts Of Zingiber Officinale Rhizomes And Hibiscus Sabdariffa Leaves Enhanced Plasmodium Berghei-Infected Mice's Hematological Parameters., Fatimah Aluko Abubakar, Raliat Abimbola Aladodo, Aremu Abubakar

Al-Bahir

Malaria remains a global health challenge, leading to severe hematological complications. Natural alternatives such as Zingiber officinale and Hibiscus sabdariffa, known for their antioxidant and bioactive properties, are being investigated for their therapeutic potential. This study examines the hematological benefits of Z. officinale and H. sabdariffa in mice infected with the common malaria research model, NK65 chloroquine-sensitive Plasmodium berghei. Forty-two albino mice, averaging 24.5 ± 1.23g, were randomly divided into six groups. Mice in group A were uninfected which served as the normal control group. Mice in groups B, C, D, E, and F were inoculated intraperitoneally with P. …

Examining Physiological Responses To Misophonic Triggers, Christian O'Reilly, Xuan Yang, Sewon Oh, Doug Wedell, Svetlana Shinkareva

Faculty Publications

We collected and analyzed an array of biosignals (face electromyogram, skin electrodermal activity, peripheral temperature, and electrocardiogram) in 60 participants with and without misophonia, a condition characterized by decreased tolerance to innocuous sounds. Our goal was to objectively characterize the physiological response to misophonia triggering sounds. We found that misophonic responses can be objectively identified in some cases through atypical physiological reactions to triggering stimuli, though not all participants exhibited this response. Our analyses suggest a large interindividual variability in response to misophonic triggers and highlights the need for methodological adjustments in future experiments to increase the detectability of misophonic …

A Reliable And Efficient Detection Pipeline For Rodent Ultrasonic Vocalizations, Sabah Shahnoor Anis, Devin Mark Kellis, Kris Ford Kaigler, Marlene A. Wilson, Christian O'Reilly

Faculty Publications

Analyzing ultrasonic vocalizations (USVs) is crucial for understanding rodents' affective states and social behaviors, but the manual analysis is time-consuming and prone to errors. Automated USV detection systems have been developed to address these challenges. Yet, these systems often rely on machine learning and fail to generalize effectively to new datasets. To tackle these shortcomings, we introduce ContourUSV, an efficient automated system for detecting USVs from audio recordings. Our pipeline includes spectrogram generation, cleaning, pre-processing, contour detection, post-processing, and evaluation against manual annotations. To ensure robustness and reliability, we compared ContourUSV with three state-of-the-art systems using an existing open-access USV …

Metabolite Analysis To Understand Factors Limiting Microbial Fermentation At High Substrate Concentrations, Bishal D. Sharma

Dartmouth College Ph.D Dissertations

Clostridium thermocellum, a thermophilic anaerobic bacterium, holds promise as a biocatalyst for conversion of lignocellulosic biomass into biofuels. This microbe has been subjected to various metabolic engineering strategies, including the deletion of genes encoding secondary fermentation products such as H₂, formate, acetate, and lactate, as well as the expression of heterologous genes to redirect carbon flux toward ethanol production. Despite these efforts, achieving economically viable ethanol titers remains a challenge. We hypothesized that studying how intracellular metabolite concentrations change as fermentation stops could reveal metabolic bottlenecks or regulatory mechanisms limiting ethanol production at high titers. However, metabolomics studies at …

82 - Characterization Of Manganese Ferrites For Combined Mph/Mpi Treatments, Alana Canty, Robert Ivkov, Hayden Carlton

Undergraduate Research Symposium

Magnetic particle hyperthermia (MPH) is a form of cancer treatment in which cancer cells are made more susceptible to treatments, primarily radiation, through heating. The heat is generated from exciting magnetic nanoparticles (MNPs) within an alternating magnetic field (AMF)—nanoparticles which have been injected into a tumor—and both the heating quality and imaging quality of these MNPs are determined by their magnetic properties, with the primary one being anisotropy. Magnetic nanoparticles have been introduced as both a treatment option as well as a diagnostic tool through magnetic particle imaging (MPI). When used as a diagnostic tool, MNPs act as tracers to …

04.07.2025 Ored Connect, Liz Williamson

ORED Newsletter

New ORED Website Goes Live

Oxford Pitch Competition

Hughes Miller, Strategic Partnerships

The Impact Of Visual Stimuli And The Properties Of Green Walls On Human Well-Being In Built And Immersive Virtual Environments, Alireza Sedghikhanshir

LSU Doctoral Dissertations

The built environment significantly influences human well-being, particularly in the context of stress recovery and cognitive restoration. This dissertation investigates the impact of visual stimuli, particularly green walls, on human responses related to stress, restoration, and thermal comfort. The research is guided by three primary objectives: (1) examining the role of visual stimuli and their properties in promoting stress recovery and restoration, (2) evaluating the potential of Immersive Virtual Environments (IVEs) as tools for delivering and studying restorative environments, and (3) investigating the influence of green walls on indoor environmental conditions.

A series of experimental studies were carried out to …

Improved Estimator For Population Mean Utilizing Known Medians Of Two Auxiliary Variables Under Neutrosophic Framework, Rajesh Singh, Shobh Nath Tiwari

Neutrosophic Systems with Applications

In the context of classical statistics, the estimation of the population mean is done with determinate, precise, and crisp data when auxiliary information is available. However, there are instances where dealing with uncertain, indeterminate, and imprecise data in interval form is required. To overcome this issue, Florentin Smarandache introduced neutrosophic statistics as a novel approach. This paper introduces a neutrosophic modified ratio-cum-product log-type estimator for the estimation of the population mean using known medians of two auxiliary variables in the neutrosophic context. The bias and mean squared error (MSE) for the proposed estimators are computed to the first-order approximation. The …

Enhancing Smart City Management With Ai: Analyzing Key Criteria And Their Interrelationships Using Dematel Under Neutrosophic Numbers And Mabac For Optimal Development, Asmaa Elsayed, Mai Mohamed

Neutrosophic Systems with Applications

Purpose: This paper explores the transformative role of AI across various domains of smart cities, including urban mobility, energy management, public safety, healthcare, environmental monitoring, economic development, and data management. It aims to develop a novel decision-making framework that integrates AI technologies with a hybrid approach to analyze the interrelationships among smart city components.

Methodology: This paper employs a hybrid decision-making framework that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with single-valued trapezoidal neutrosophic numbers (STrNN). This approach is used to analyze the complex relationships among criteria and sub-criteria in smart city contexts, addressing uncertainty and incomplete information …

Electrospun Rgo-Pan Filters For High-Performance Removal Of Respirable Silica And Coal Dust, Mahsa Moradi, Ashish Kakoria, Guang Xu

Miners Solving for Tomorrow Research Conference

No abstract provided.

Sources Of Tensions In Ai Adoption For Organ Procurement Organizations, Amaneh Babaee, Grace Hall, Daniel Burton Shank, Casey I. Canfield

Miners Solving for Tomorrow Research Conference

No abstract provided.

Determining The Wound Closure Capabilities Of A Biological Engineered Blood Vessel For Hd Access, Brianna Regan, Alex Dumitru, Mai Lam

Medical Student Research Symposium

End stage renal disease (ESRD) is a prominent chronic condition with dialysis as a primary treatment option. Dialysis necessitates implementation of an access point, with the gold standard being an AV fistula which possesses multiple shortcomings. Alternative access points, namely synthetic grafts, do not allow wound healing characteristics. This work aims to explore how a tissue engineered vascular graft (TEVG) may be able to address these issues by allowing a long-term access point for HD that can close puncture wounds.

The effects of growth factors on our cells were tested preliminarily by means of a scratch assay on plates of …

A Risk Assessment Method For Lithium Ion Batteries Fire Hazards In Underground Mines, Syed Talha Riaz, Aamir Iqbal, Ashish Kakoria, Guang Xu

Miners Solving for Tomorrow Research Conference

No abstract provided.

Maldi-Mass Spectrometry Imaging To Investigate Distribution Of Per- And Polyfluoroalkyl Substances In Exposed Poplar Tissues, Tonglin Zhou, Varuni Abhayarayne, Joseph Akor, Honglan Shi, Paul Ki-Souk Nam, Joel Gerard Burken, John Yang

Miners Solving for Tomorrow Research Conference

No abstract provided.