Digital Commons Network^™

Visual Interpretability Of Multimodal Tissue Perfusion Classification Using Grad-Cam And Saliency Maps, Metehan Zorluoglu

UNLV Theses, Dissertations, Professional Papers, and Capstones

Accurate identification of the tissue perfusion phase from hand images can aid doctors in decision-making with non-invasive techniques. The present study proposes a multimodal deep learning model for classifying the tissue perfusion phase using infrared, thermal, and visible spectrum images of the human hand. The proposed model consists of various preprocessing techniques such as manipulation, homography alignments, and masking. The significant contribution of this thesis is the interpretability analysis of deep learning models, achieved through the analysis of saliency maps and the Gradient-weighted Class Activation Mapping (Grad-CAM) methods. The purpose of this method is to find out how the convolutional …

A Descriptive Analysis Of Plant Leaf Disease Detection Using Machine Learning And Deep Learning Models: A Systematic Review, Arzoo Chamoli, Anuj Kumar

Turkish Journal of Electrical Engineering and Computer Sciences

Plant leaf disease detection (PLDD) is a growing active research area with burgeoning practical applications across various sectors such as agricultural monitoring, food security, and environmental conservation. Accurate segmentation and classification of plant leaf diseases remains a key challenge in the field of plant leaf disease prediction. The challenge demands automated methods for the plant disease identification because it needs to develop better crop management systems, which will boost agricultural production. In this article, we provide a systematic review of various machine learning (ML) and deep learning (DL) methods extensively used for PLDD. The review strategy follows a formal protocol, …

Cortical Bone Density And Thickness Assessment Of Intraradicular Sites In Adolescent Patients Using Cbct Imaging, Sara Endo

UNLV Theses, Dissertations, Professional Papers, and Capstones

Background: The indications for the use of cone beam computed tomography (CBCT) in orthodontics has grown since it was first introduced and dentists are discovering new ways that 3D images enhance diagnosis and treatment planning. Evaluating bone quality and quantity can be measured as bone density and thickness in CBCT imaging and is helpful for temporary anchorage device (TAD) placement in orthodontic treatment. TADs rely on primary stability and are commonly used in orthodontic treatment to increase anchorage and expand the limit that nonsurgical orthodontics can provide.

Objectives: This study aims to assess the bone thickness and density at different …

Model Based Control And Hil Verification Of An Integrated Battery Management System, Catalin Sabou

UNLV Theses, Dissertations, Professional Papers, and Capstones

The rapid advancement of electric vehicle technologies necessitates highly reliable Battery Management Systems (BMS); however, validating embedded supervisory logic presents a notable challenge. While physical pack testing is accurate, it is costly and hazardous for early stage software evaluation. This thesis presents the design, implementation, and rigorous validation of an integrated BMS developed for the Battery Workforce Challenge, bridging the gap between model based design and safe hardware execution. The core of this work is a model based supervisory controller, developed in MATLAB/Simulink and executed on an STM32G4 embedded target. To facilitate embedded validation while preserving a representative battery environment, …

Modeling Psychological And Demographic Predictors Of Analog Astronaut Mission Participation, Christian Yeara Herrero, Frányerson R. López Ochoa, Mackenzie Thomas, Phoebe Fleshman

Student Research Symposium (SRS)

As plans accelerate to send humans into orbit and to other celestial bodies, whether to lunar outposts, Mars bases, or commercial space stations, it becomes increasingly important to understand how to maintain healthy, cohesive, and productive crews in confined, isolated environments. A practical way to study human adaptation to these conditions is through analog astronaut missions on Earth. Although imperfect, these facilities provide the closest Earth-based simulation of space mission conditions. Currently, over ten analog research centers are operating worldwide, including NASA’s Human Exploration Research Analog (HERA) and the Crew Health and Performance Exploration Analog (CHAPEA) habitats. Selecting and recruiting …

Trussworthy - A Lunar Module Truss System, Anthony Wehrli, Sebnem Kalayci, Tyler Williams, Sofia Lopez-Linares Perez, Connor Mcdonagh, Presley Robb

Undergraduate Research and Scholarship Symposium

TrussWorthy is a modular truss-based construction platform designed to support the gradual development of sustainable infrastructure on the lunar surface. Aligned with NASA’s Moon to Mars objectives, the system emphasizes in-situ resource utilization (ISRU) by transforming lunar regolith into structural components through sintering and additive manufacturing. By reducing dependence on Earth-supplied materials, TrussWorthy aims to lower launch costs while enabling scalable, long-term construction capabilities. The design integrates autonomous excavation, 3D printing, and robotic assembly, building on technologies expected from upcoming Artemis and Commercial Lunar Payload Services missions. Engineered to withstand extreme thermal cycling, vacuum conditions, and reduced lunar gravity, the …

Agentic Scientific Machine Learning For Autonomous Model Discovery In Systems Pharmacology, Nazanin Ahmadi, George Karniadakis

Biology and Medicine Through Mathematics Conference

No abstract provided.

Sorption And Thermal Conductivity Of Concrete Containing Aggregates Of E-Waste, Rakesh Kumar Saini, Praveen Kumar

Journal of Sustainable Construction Materials and Technologies

In many parts of the world, substantial energy is used to maintain comfortable temperatures in inner parts of the buildings for living and working. Construction materials with low thermal conductivity, if used in the exterior walls and façade etc. in such structures can be useful in lowering the energy demand. On the other hand, moisture ingress through sorption is a common factor contributing in degradation of concrete structures with time. Constituents of concrete may be engineered to some extent to get both the desired attributes, lower thermal conductivity and sorption than normal concrete. The rapid increase in electronic waste, or …

A Study & Comparison Of Lift Boosters For An Unmanned Aerial Vehicle, Trevor Sean Dady

Theses and Dissertations

Unmanned aerial vehicles are becoming increasingly prevalent in modern society for tasks, such as package delivery, defense, and cinematography. Due to this surge in applications, many researchers have begun to search for improvements to unmanned aerial vehicles for their lift and thrust properties. Potential solutions to magnify an unmanned aerial vehicle’s thrust capability are the implementation of Coanda surfaces, nozzles, or bowl-shaped structures on each propeller. Coanda surfaces provide additional lift force by creating a vacuum in response to the adhesion of fluid to the smooth surface. Nozzles can constrict the flow of air, while also increasing its velocity. The …

A Review Of Magnesium-Based Stents: Manufacturing Strategies And Future Trends, Amir Motaharinia, Amir Sanati Nezhad, Jeremy Goldman, H. R. Bakhsheshi-Rad, J. Drelich

Michigan Tech Publications

Coronary artery disease is often treated with vascular stents to restore the blood flow. Recently, there has been growing interest in biodegradable metal stents, especially those made from magnesium (Mg). This review starts by explaining the complex pathophysiology of atherosclerosis and the current treatment options. It then discusses stents, including their potential benefits, capabilities, and limitations, as they represent the gold standard for percutaneous coronary intervention in treating atherosclerosis. Given the vital role of stents, we provide a thorough review of the manufacturing techniques involved, such as wire forming, subtractive manufacturing, and additive manufacturing, with a specific focus on stents …

High-Surface-Area Ficus Leaf-Extracted Cuo-Zno-Nio Ternary Nanocomposites For Rapid Adsorption-Assisted Uv-A Degradation Of Direct Blue 15, Kafa’A H. Ali, Mohammed A. Atiya, Ahmed K. Hassan

Karbala International Journal of Modern Science

Direct Blue 15 (DB15) is a long-lasting synthetic dye that pollutes water and is difficult to remove during wastewater treatment. Conventional treatments fail to remove DB15 adequately due to rapid electron-hole recombination, which necessitates photocatalysts with reduced recombination rates for effective dye removal. The study aims to synthesize and evaluate a CuO-ZnO-NiO ternary system as an integrated adsorption and UV-A photocatalysis platform for DB15 removal. Ficus leaf-extracted CuO-ZnO-NiO nanocomposites with four Cu:Zn:Ni ratios (1:1:1, 1:1:2, 1:2:1, 2:1:1) were prepared by co-precipitation, followed by extensive chemical and physical characterization and dye-removal performance measurements. The CuO-ZnO-NiO nanocomposite exhibited hexagonal zinc oxide, cubic …

Comprehensive Analysis Of Spray Development And Low Temperature Combustion Characteristics In A Cvcc With Nvh Of Renewable Aerospace Fuels: Hefa & Ft Synthetic Kerosene (S8) Compared To Jet-A & Ulsd, Coleman Norton

Honors College Theses

A comprehensive analysis was conducted to research the viability of Hydroprocessed Esters and Fatty Acids (HEFA) and S8 Synthetic Kerosene fuels as a drop-in replacement for conventional petroleum-based fuels, Jet-A and ULSD (Ultra Low Sulfur Diesel). Global transportation remains heavily dependent on liquid fossil fuels, while renewable aerospace fuels offer a promising pathway to reducing life cycle greenhouse gas emissions and pollution. However, the combustion performance and long-term feasibility of these fuels remain insufficiently characterized. This study performed a thorough assessment of each fuel's thermophysical and combustion properties. Thermophysical characterization encompassed viscosity, freezing point, energy density, spray atomization, and volatility. …

Valorization Of Ductile Cast Iron Solid Waste As A High-Performance Adsorbent For Crystal Violet Removal: Characterization, Optimization, And Mechanistic Insights, Ibrahim Ibrahim Mr., Abdel Mohsen Turky Dr., Nasser Mostafa Prof., Mai H. Roushdy

Chemical Engineering

Industrial textile wastewater containing synthetic dyes cause serious environmental and health risk, whereas ductile cast iron (DCI) foundries generate over 500 000 tons of waste annually. This study utilizes DCI solid waste as an adsorbent to remove the crystal violet (CV) dye from wastewater. Techniques (XRF, XRD, BET, SEM-EDX, FTIR, TGA-DTG, zeta potential) proved that the waste contains 88.0 wt% periclase (MgO) with nanoscale, high surface area, and abundant surface hydroxyl groups. Response surface methodology showed that the most significant parameters were the adsorbent dose and time contact. The optimal conditions give 93.7% removal efficiency at initial concentration: 38.7 mg …

Improving Human Visual Search: Enhancing Lung Cancer Nodule Detection In Medical Images, Christopher Khajira

Masters Theses

Human visual search involves the identification of relevant signals within information-rich environments, which is a fundamental problem in visual perception. While detection accuracy and response time are commonly used to evaluate performance in visual search, these measures do not reveal the underlying cognitive and computational structure that produces observable behavior. A key challenge lies in distinguishing between competing processing architectures, particularly in complex visual domains where different models can produce similar behavioral outcomes. This study addresses this challenge by developing a computational experimental framework for analyzing visual search behavior using System Factorial Technology (SFT). The experimental framework integrates naturalistic medical …

Scalable Advanced Control Of Building Hvac Systems Using Physics-Informed Machine Learning, Xuezheng Wang

Dissertations - ALL

Buildings account for approximately 40% of total energy consumption in the United States, with HVAC systems representing the single largest energy end-use. Advanced control strategies such as model predictive control (MPC), reinforcement learning (RL), and differentiable predictive control (DPC) have demonstrated significant energy savings in individual studies, yet their widespread adoption remains limited by the lack of scalable, control-oriented dynamic models, the absence of consensus on control strategy selection, and the gap between single-zone research and multi-zone real-building deployment. This dissertation addresses these barriers through an integrated research program spanning physics-informed machine learning (PIML) model development, advanced control evaluation, and …

Incorporating Sustainable Strategies And Practices Into The City Improvements Plan Of Madisonville, Kentucky To Better Suit It For The Changing World, Cade R. Howell

Honors College Theses

This project aims to make the case for city improvements in Madisonville, Kentucky by using successful strategies implemented by other cities across the region. These strategies include sidewalk improvements, the installation of roundabouts and parking garages, increased walkability and beautification, and a restructuring of the types of cars predominantly used in the area. The strategies would be implemented from least expensive to most expensive, and in a way that gets the communities involved as much as possible. By using these strategies, Madisonville can better prepare itself for a more sustainable future.

Beyond Accuracy: Machine Learning Models For Predicting Presence Of Permanent Molar Caries In U.S. Children And Adolescents With Fairness Consideration, Pritam Deb, Lin Li, Christina R. Scherrer

Faculty Articles

Background

Although predictors of dental caries have been previously explored, a comprehensive understanding of factors influencing permanent‐molar decay in U.S. children and adolescents, especially with respect to racial and ethnic biases remains limited. This study aims to develop and evaluate machine‐learning (ML) models incorporating algorithmic fairness to predict caries in permanent molars.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) were analyzed, using the 2011–2014 cycles for training and validation and the 2015–2016 cycle for testing. The primary outcome was decayed, missing, and filled teeth (DMFT) in at least one permanent molar, dichotomized to represent the presence …

Designing A Wearable Gait Feedback System For Parkinson’S Disease Patients, Heath M. Stevens, Capri H. Lobotzke, Spencer J. George

Honors Theses

Parkinson’s disease is a progressive neurological disorder that commonly causes a shortened stride length, reducing mobility and increasing fall risk. While current treatments, such as oral medication, can reduce symptoms, they do not provide real-time feedback to correct gait and often result in “off” periods when symptoms return. Physical therapists report that simple reminders to lengthen stride can help patients recover from “off” periods and maintain normal walking patterns, but there is no current at-home way to simulate this effective therapy. Recognizing this gap in at-home support, our biomedical engineering senior design team at the University of Mississippi sought to …

Geochemistry And Occurrence Of Rare Earth Elements In Mine-Impacted And Natural Waters Of Montana, Matthew Vitale

Honors Theses

The occurrence and geochemical behavior of rare earth elements (REEs) in mine-impacted and natural waters of Montana are evaluated across a range of environments, including hard rock mining-impacted systems, coal-associated waters, and naturally occurring acid rock drainage (NARD). Understanding the abundance of REEs in secondary sources such as mine-impacted waters is critical for both environmental assessment and resource recovery. A comprehensive dataset of dissolved and total recoverable REE concentrations was analyzed to assess the influence of pH, total dissolved solids, and geologic setting on REE mobility and distribution. Results demonstrate a strong inverse relationship between pH and REE concentrations, with …

Teacher Shortages In Arkansas Rural School Districts: Employed Teacher’S Perceptions Of The Impact On Their Effectiveness, Carloss Guess

ATU Theses and Dissertations 2021 - Present

ABSTRACT

TEACHER SHORTAGES IN ARKANSAS RURAL SCHOOL DISTRICTS: EMPLOYED TEACHERS’ PERCEPTIONS OF THE IMPACT

ON THEIR EFFECTIVENESS

Carloss Guess

Teacher shortages in rural school districts remain a persistent challenge that affects instructional quality, teacher workload, and professional sustainability. The purpose of this qualitative phenomenological study was to explore how teachers in rural Arkansas perceive the impact of staffing shortages on their instructional roles, workload, and professional well-being. Data were collected through semi-structured interviews with 10 K–12 teachers representing elementary, middle, and high schools and across varying career stages. Interview transcripts were analyzed using an inductive qualitative approach and the constant …

Modeling Individual Self-Protective Behavior During Epidemics, Geonsik Yu, Michael J. Garee, Mario Ventresca, Yuehwern Yih

Faculty Publications

Protecting public health from infectious diseases requires collective action, as individual behaviors—such as vaccination and mask-wearing—directly influence disease dynamics. During the COVID-19 pandemic, unexpected public responses often undermined the effectiveness of interventions, highlighting the need to understand collective behavioral patterns and motivations to design more effective mitigation strategies. This study presents an agent-based simulation model that captures how individuals adjust self-protective behaviors based on evolving opinions about disease risk and examines how these decisions interact with external factors, such as public health interventions, to shape collective outcomes. To improve the representativeness of the simulated population, multiple datasets were integrated to …

Development Of A Putting Green Manufacturing Process, Avalon R. Madden

Honors Theses

Our Capstone project investigates the end to end design, development, and production of a 6‑foot long portable putting green marketed for individuals seeking a high quality, competitively priced golf product for home or office use. The capstone project examines the full lifecycle of product creation applying manufacturing principles learned through the center of manufacturing’s coursework. From the initial concept through engineering design, market research, prototyping, manufacturing optimization, and final production the project emphasizes cross‑functional collaboration across engineering, business, and accountancy majors. Methods used to gather data included marketing surveys, CAD drawings, time studies during production runs, value stream mapping, and …

Hyposense: Multimodal Physiologic And Voc Wearable For Early Hypoglycemia Detection, Nidhi R. Patel

Honors Theses

Hypoglycemia remains a significant safety concern for insulin-dependent individuals, especially when blood glucose declines rapidly during exercise, sleep, or periods of impaired hypoglycemia awareness. Current continuous glucose monitors and automated insulin delivery systems have helped to improve diabetes management, but these technologies primarily respond to glucose trends after they have already started and may not actually provide sufficient warning before symptoms occur. This thesis describes the development of HypoSense, a noninvasive wrist worn wearable concept that is designed to support earlier hypoglycemia risk detection through multimodal physiologic and volatile organic compound emission sensing. HypoSense combines volatile organic compounds/gas sensing with …

Energy Materials Health Monitoring With Interpretable Machine Learning, Osumanu Musah Mohammed

Honors Theses

Reliability and the lifecycle of energy materials have become key concerns for sustainable, decarbonized power systems [1]. More recent reports on photovoltaic (PV) device technologies, fuel cells, hydrogen storage, and novel composite materials have indicated that material deterioration is a constraint on large-scale exploitation and cost-effectiveness, rather than on energy conversion efficiency [2], [3]. The energy infrastructure of tomorrow needs to be smart and efficient; however, more to the point, it needs to be self-aware, self-diagnostic, and able to overcome any form of degradation before breaking down [4]. The US dilemma is also directly related to federal concerns. That is …

Hydrogeochemistry Of Natural Acid Rock Drainage In The Tobacco Root Mountains Of Southwest Montana And Implications For Restoration, Josie Grigsby

Honors Theses

This study investigates the hydrogeochemistry of the East Fork of the South Boulder River (EFSBR) in the northern Tobacco Root Mountains, Madison County, Montana. The upper 5 km of the main stem of the EFSBR is acidic (pH < 5.5), and dissolved concentrations of several trace metals including Al, Cd, Cu, and Zn exceed chronic aquatic life standards by 2-3 orders of magnitude. Unsurprisingly, the EFSBR appears to be devoid of trout. Since no mining has taken place at the source areas of the acidic headwater streams, this phenomenon is referred to as Natural Acid Rock Drainage (NARD). High mountains (up to 10,500’) bounding the EFSBR valley harbor a number of potential small rock glaciers and other periglacial features that appear to influence the hydrogeology and chemistry of the watershed. The steady flow of cold water in the hot summer months, during the same time period that neighboring drainages are drying up, is hypothesized to be sourced from melting ground ice high in the headwater catchment. Additionally, rock glaciers can act as efficient chemical reactors where they exist in conjunction with acid-generating mineralized bedrock, affecting the severity of acidic drainage and associated metal concentrations. Neutralization of the acidic water by alkaline tributaries results in the precipitation of aluminum hydroxysulfate (basaluminite), which covers the streambed with a vivid white mineral coating and can act as a natural sink through adsorption of other toxic metals to its surface. Pristine catchments exhibiting NARD can provide water quality data and serve as reference sites for restoration projects at sites experiencing Acid Mine Drainage where historical data does not exist. As climate change continues to alter the natural environment, especially in polar and high elevation regions, severity and instances of NARD are predicted to continue to increase on a global scale. A deeper understanding of the processes driving NARD from studies focused on areas such as the EFSBR will provide guidance for protecting vulnerable aquatic ecosystems and managing water resources in mountain communities into the future, as well as insights into necessary changes to established remediation methods in watersheds experiencing acid mine drainage.

Optimization And Safety Protocols For An Acetone Production Plant, Holley J. Garrison

Honors Theses

The proposed acetone production plant, scheduled for start-up in 2028, is capable of producing 3,750 kg/h of 99.9 wt% acetone. Using an endothermic catalytic dehydrogenation reaction, a feed of isopropyl alcohol (IPA) is reacted to produce 30,000 metric tons per year (MT/y) of acetone. Initial design and economic analysis of this process found that this plant will not be economically viable due to its Net Present Value (NPV) of -$132M. Optimization efforts prioritized reductions in raw materials and improved product recovery. Several optimizations were performed to reduce the feed rate, including switching to the low temperature catalyst, shortening the reactor …

Integrating Advanced Geochemical Workflows With Modern Statistical Tools To Improve The Decision-Making Process At Ccr Sites, A Case Study, Glenna Thomas

World of Coal Ash Proceedings

While statistical assessment provides the foundation for CCR compliance reporting, incorporating a holistic geochemical framework transforms statistics from a compliance requirement into a powerful predictive tool. Strategic geochemical insight established the basis of understanding needed to support successful statistical approaches and to ensure that statistical outcomes reflect actual groundwater behavior. Whether it is trend analysis, delineating source mechanism, or updating geochemical conceptual site models (GCMs), geochemical context provides the technical foundations for statistical outputs and methods. A continuously refined GCSM enhances the ability to anticipate how groundwater chemistry should evolve, improving interpretation and predictive capability. This allows practitioners to understand …

Before The Limit Hits: Lessons From A Proactive Construction Air Monitoring Program, Brian Egan, Nicholas Golden, Wendy Depp

World of Coal Ash Proceedings

This presentation describes a comprehensive air monitoring program designed to protect workers and nearby neighborhoods during ash pond closure work. The program uses three main components: project (or boundary) monitoring at the site perimeter to track dust near the project boundaries, work area monitoring placed near active construction zones, and personal sampling on individual workers at regular intervals. Together, these approaches provide data on both community impacts and worker exposures, helping the team respond quickly when levels approach action limits. The Teams actions prior to exceedance of regulatory limits has helped prevent exposures. The talk will explain how monitors are …

Lessons Learned: Commissioning An Fgd Wastewater Treatment System, Bella Triolet, Mckale Grant, Louis Manigault

World of Coal Ash Proceedings

Stantec recently supported commissioning a flue gas desulfurization (FGD) Wastewater Treatment System in accordance with the 2020 Environmental Protection Agency (EPA) Effluent Limitations Guidelines (ELG) Rule, which requires that coal fired power plants meet their more stringent requirements by December 31, 2025. With the addition of the 2024 EPA ELG Rule, coal fired power plants will now be expected to move to zero liquid discharge (ZLD) systems or permanently cease coal combustion by 2034. Due to this change, it is likely that coal fired power plants will be looking to design and install ZLD systems within the next decade. While …

A Solution For Safe Pivot Transfers In A Population With Limited Mobility, Elizabeth A. Mitchell, Sean R. Giamportone

Honors Theses

Sit-to-stand pivot transfers are one of the most frequently performed movements for

individuals with limited mobility. This movement is very often performed in long-term care

facilities and clinics. Despite the commonality, this transfer poses a significant risk of injury to

both the patient and caregiver; falls, musculoskeletal injuries, and the reduction of independence

can result from issues associated with these transfers. Existing assistive devices, Hoyer lifts and

sliding boards, present limitations with cost, size, storage, and usability; thus, caregivers rely on

the hands-on manual transfer that increases the risk of injury. The goal of our team was to

address these …