Digital Commons Network^™

A Comparative Study Of Electronic And Paper Ballot Systems In Modern U.S. Elections, Gianna M. Wadowski, Nicholas D. Bernardo, Bridgett A. King, Gretchen A. Macht

Political Science Faculty Publications

In-person voting processes that rely on paper ballots have long dominated voting processes in the United States. However, following the implementation of the Help America Vote Act in 2002, states rapidly adopted new voting technologies that dramatically changed the in-person voting experience. Since then, states have continued to adopt new voting technologies as new challenges and opportunities have emerged. Although scholarship has demonstrated that new voting technologies can offer benefits, reported improvements to the in-person voting experience are inconsistent. Despite changes in voting equipment and voting methods, voters continue to wait in long lines, affecting turnout and voter confidence. Using …

Predicting The Pathway Involvement Of Compounds Annotated In The Reactome Knowledgebase, Erik D. Huckvale, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

Background/Objectives: Pathway annotations of non-macromolecular (relatively small) biomolecules facilitate biological and biomedical interpretation of metabolomics datasets. However, low pathway annotation levels of detected biomolecules hinder this type of interpretation. Thus, predicting the pathway involvement of detected but unannotated biomolecules has a high potential to improve metabolomics data analysis and omics integration. Past publications have only made use of the Kyoto Encyclopedia of Genes and Genomes-derived datasets to develop machine learning models to predict pathway involvement. However, to our knowledge, the Reactome knowledgebase has not been utilized to develop these types of predictive models.

Methods: We created a dataset ready for …

Characterization, Performance, And Toxicological Assessment Of Polysulfone-Sulfonated Polyether Ether Ketone Membranes For Water Separation Applications, Muhammad Usman Yousaf, Lucca Madeo Cortarelli, Nerissa I. Jebet, Jason M. Unrine, Nirupam Aich, Olga V. Tsyusko, Isabel C. Escobar

Markey Cancer Center Faculty Publications

The removal of small molecular weight charged compounds from aqueous solutions using membrane remains a challenge. In this study, polysulfone (PSf)- and sulfonated polyether ether ketone (SPEEK)-based membranes were fabricated via non- solvent induced phase separation process (NIPS) using N-Methyl-2-Pyrrolidone (NMP) as solvent and water as non-solvent. Membranes were characterized structurally and morphologically, followed by toxicity assessment conducted before and after filtration, both with and without annealing at various pH values to evaluate potential leaching of trapped solvent from the membrane pores. Additionally, membrane performance was characterized using binary mixtures of cationic and anionic dyes. The results demonstrated selective filtration …

Panchromatic Absorption Of Unsymmetrical Donor-Acceptor Dyes Based On A Meta-Conjugated 1,3,5-Heteroaryltriazine Core, Jacob G. Rothera, Hi Taing, Menandro Cruz, Anton Dmitrienko, V. Nicholas Vukotic, Sean M. Ryno, Chad Risko, A. Mohan Raj, William G. Skene, S. Holger Eichhorn

Chemistry Faculty Publications

Attachment of three different heterocycles with electron donor or acceptor character to a central 1,3,5-triazine core generates readily soluble side-chain free dyes with two displaying soft crystalline mesomorphism and one displaying a nematic liquid crystal phase as confirmed by polarized optical microscopy, calorimetry, gravimetric analysis, and powder X-ray diffraction. Equally intriguing is the dyes’ relatively strong electronic communication between donor and acceptor subchromophores that are meta-conjugated to one another, which is experimentally observed as a broad intramolecular charge-transfer absorption that can extend over 100 nm past the most intense absorption event and is computationally confirmed through density functional theory (DFT) …

Sowing The Seeds Of Confusion To Reap Content Mastery, Rebecca Mcgrail

Greater Faculties: A Review of Teaching and Learning

No abstract provided.

Deformation And Collectivity In Doubly Magic Pb 208, J. Henderson, J. Heery, M. Rocchini, M. Siciliano, N. Sensharma, A. D. Ayangeakaa, R. V.F. Janssens, T. M. Kowalewski, Abhishek, P. D. Stevenson, E. Yüksel, B. A. Brown, T. R. Rodriguez, L. M. Robledo, C. Y. Wu, S. Kisyov, C. Müller-Gatermann, V. Bildstein, L. Canete, C. M. Campbell, S. Carmichael, M. P. Carpenter, W. N. Catford, P. Copp, C. Cousins, M. Devlin, D. T. Doherty, P. E. Garrett

Chemistry Faculty Publications

Lead-208 is the heaviest known doubly magic nucleus and its structure is therefore of special interest. Despite this magicity, which acts to provide a strong restorative force toward sphericity, it is known to exhibit both strong octupole correlations and some of the strongest quadrupole collectivity observed in doubly magic systems. In this Letter, we employ state-of-the-art experimental equipment to conclusively demonstrate, through four Coulomb-excitation measurements, the presence of a large, negative, spectroscopic quadrupole moment for both the vibrational octupole 31- and quadrupole 21+ state, indicative of a preference for prolate deformation of the states. The observed quadrupole moment is discussed …

Ear Pinna Growth And Differentiation Is Conserved In Murids And Requires Bmp Signaling For Chondrocyte Proliferation, Robyn S. Allen, Shishir K. Biswas, Ashley W. Seifert

Biology Faculty Publications

Despite being a major target of reconstructive surgery, development of the ear pinna remains poorly studied. Here, we provide a cellular characterization of late gestational and postnatal ear pinna development in two rodents and investigate the role of BMP5 in expansion and differentiation of auricular elastic cartilage. We find that ear pinna development is largely conserved between Mus musculus and the highly regenerative Acomys dimidiatus. The pattern of pre-cartilaginous cells is established early in development. These cells are specified into chondroblasts before ear unfolding and then undergo extensive proliferation before maturation. The elastic cartilage, connective tissue fibroblasts, dermal papilla and …

Current Practices In Rock Scaling, Daryl J. Greer, Kean H. Ashurst Jr

Kentucky Transportation Center Research Report

Rockfalls, which result from the chemical and physical weathering of aging exposed rock cuts, occur frequently along many Kentucky roadways and can endanger travelers. Mitigating rockfalls often requires substantial excavation, procuring additional right of way, and/or hiring specialty contractors. An alternative to these expensive processes is rock scaling, which can be a cost-effective tool for mitigating rockfalls. Rock scaling entails removing loose and unstable rocks from rock cut slopes within the right of way to reduce rockfall risk and is being used with increased frequency by state transportation agencies around the country. The Kentucky Transportation Cabinet (KYTC) has completed several …

Bridge Load Posting Based On Load Testing, Cody Hutchinson, Abheetha Peiris, Issam Harik

Kentucky Transportation Center Research Report

AASHTO’s Manual for Bridge Evaluation (MBE) provides guidance for analytically evaluating bridge capacity based on available design information and the results of field inspections. This analysis results in a rating factor (RF), which quantifies a bridge’s safe load carrying capacity. RF accuracy, however, depends on the availability of information about structural details and material properties. As such, load rating bridges without design plans is difficult as field inspections alone often cannot provide enough information to perform detailed analysis. In many instances this means that a bridge would possess a substandard rating factor (RF < 1.0) simply due to the conservative assumptions required to perform traditional analysis. The most effective method for safely modifying such conservative theoretical rating factors is through load testing. Load testing measures actual bridge behavior and, for most bridges in good health, finds an increase in load rating is justified. This project utilized load testing to load rate 14 bridges in Kentucky that lack structural plans. Researchers first determined theoretical ratings using MBE-prescribed methods. For information typically taken from design plans, but which could not be measured directly, data-backed methods for making conservative assumptions were developed. For most bridges included in the study, theoretical rating factors alone suggested load postings were necessary. Load testing was then carried out utilizing tandem rear-axle dump trucks with measured axle weights. Multiple single-lane load cases were selected to maximize the effects being rated. Strain data were collected in real time using a wireless reusable strain gage system. Using these data, researchers computed a field test adjustment factor using MBE methods which directly modified the calculated theoretical RFs. Ultimately, load testing provided sufficient evidence to safely recommend that load postings were not necessary for any bridges in this study.

The Mitochondria As An Emerging Target Of Self- Renewal In T-Cell Acute Lymphoblastic Leukemia, Majd Al-Hamaly, Evelyn Winter, Jessica S. Blackburn

Markey Cancer Center Faculty Publications

Acute lymphocytic leukemia (ALL) is the most common leukemia in children, with the T-cell subtype (T- ALL) accounting for 15% of those cases. Despite advancements in the treatment of T-ALL, patients still face a dismal prognosis following their first relapse. Relapse can be attributed to the inability of chemotherapy agents to eradicate leukemia stem cells (LSC), which possess self-renewal capabilities and are responsible for the long-term maintenance of the disease. Mitochondria have been recognized as a therapeutic vulnerability for cancer stem cells, including LSCs. Mitocans have shown promise in T-ALL both in vitro and in vivo, with some currently in …

Advances In Research And Development With Sylosanthes And Other Tropical Pasture Legumes, D F. Cameron, C P. Miller, L A. Edye, J W. Miles

IGC Proceedings (1977-2023)

The last 20 years have seen major advances in research and development wilh tropical legumes. Research advances have been closely associated with substantial increases in the number and diversity of genetic resource collections, Release of a wide range of new cultivars has been based on selection for plant adaptation, persistence and productivity, screening for resistance to pest's and diseases, and the development of efficient seed production. Determination of fertiliser requirements and grazing management practices has resulted in sustainable animal production from legume-based pasture systems. Extensive pasture development has now occurred in both high and low input systems. Options vary from …

Spatiotemporal Variability And Functional Redundancy Obscure Effects Of Urbanization On Strawberry Pollinators, Kyla D. Schulte, Caleb J. Wilson, Anna Tawril, Mary A. Jamieson

Entomology Faculty Publications

Pollination services across rural–urban gradients may vary as land cover and other environmental attributes differentially influence pollinators. Most studies examining crop pollination, however, have been conducted in rural environments, while research in urban areas has lagged behind despite growing interest in urban agriculture. In this study, we hypothesized that increased urbanization would alter pollinator community composition due to a reduction in natural areas within the surrounding landscape, potentially decreasing pollinator abundance. To evaluate this hypothesis, we conducted a three-year study using strawberries as a focal study crop. We characterized the abundance, diversity, and community composition of bees across 10 farms …

A Maturity Model For Clinical Trials Management Ecosystem, Shruti Sehgal, E. Chris Pua, Svetlana Rojevsky, Michael J. Becich, Joshua Fehrmann, Boyd M. Knosp, Adam Wilcox, Jeffery C. Talbert, Catherine K. Craven, Justin Starren

Biostatistics Faculty Publications

Introduction: Managing clinical trials is a complex process requiring careful integration of human, technology, compliance, and operations for success. We collaborated with experts to develop a multi-axial Clinical Trials Management Ecosystem (CTME) maturity model (MM) to help institutions identify best practices for CTME capabilities. Methods: A working group of research informaticists was established. An online session on maturity models was hosted, followed by a review of the candidate domain axes and finalization of the axes. Next, maturity level attributes were defined for min/max levels (level 1 and level 5) for each axis of the CTME MM, followed by the intermediate …

Complex Tissue Regeneration In Lophuromys Reveals A Phylogenetic Signal For Enhanced Regenerative Ability In Deomyine Rodents, Brennan Riddell, Molly Mcdonough, Adam Ferguson, John M. Kimani, Thomas R. Gawriluk, Chi Peng, Stephen G. Kiama, Vanessa O. Ezenwa, Ashley W. Seifert

Biology Faculty Publications

Identifying why complex tissue regeneration is present or absent in specific vertebrate lineages has remained elusive. One also wonders whether the isolated examples where regeneration is observed represent cases of convergent evolution or are instead the product of phylogenetic inertia from a common ancestral program. Testing alternative hypotheses to identify genetic regulation, cell states, and tissue physiology that explain how regenerative healing emerges in some species requires sampling multiple species among which there is variation in regenerative ability across a phylogenetic framework. Here, we interrogate tissue healing across eleven rodents and show that brush-furred mice (Lophuromys zena) are capable of …

Land Use Change Consistently Reduces Α- But Not Β- And Γ-Diversity Of Bees., Toby P N Tsang, A A Amado De Santis, Gabriela Armas-Quiñonez, John S Ascher, Eva Samanta Ávila-Gómez, András Báldi, Kimberly M Ballare, Mario V Balzan, Weronika Banaszak-Cibicka, Svenja Bänsch, Yves Basset, Adam J Bates, Jessica M Baumann, Mariana Beal-Neves, Ashley Bennett, Antonio Diego M Bezerra, Betina Blochtein, Riccardo Bommarco, Berry Brosi, Laura A Burkle, Luísa G Carvalheiro, Ignacio Castellanos, Marcela Cely-Santos, Hamutahl Cohen, Drissa Coulibaly, Saul A Cunningham, Sarah Cusser, Isabelle Dajoz, Deborah A Delaney, Ek Del-Val, Monika Egerer, Markus P Eichhorn, Eunice Enríquez, Martin H Entling, Natalia Escobedo-Kenefic, Pedro Maria Abreu Ferreira, Gordon Fitch, Jessica R K Forrest, Valérie Fournier, Robert Fowler, Breno M Freitas, Hannah R Gaines-Day, Benoît Geslin, Jaboury Ghazoul, Paul Glaum, Jose L Gonzalez-Andujar, Adrian González-Chaves, Heather Grab, Claudio Gratton, Solène Guenat, Catalina Gutiérrez-Chacón, Mark A Hall, Mick E Hanley, Annika Hass, Ernest Ireneusz Hennig, Martin Hermy, Juliana Hipólito, Andrea Holzschuh, Sebastian Hopfenmüller, Keng-Lou James Hung, Kristoffer Hylander, Jordi Izquierdo, Mary A Jamieson, Birgit Jauker, Steve Javorek, Shalene Jha, Björn K Klatt, David Kleijn, Alexandra-Maria Klein, Anikó Kovács-Hostyánszki, Jochen Krauss, Michael Kuhlmann, Patricia Landaverde-González, Tanya Latty, Misha Leong, Susannah B Lerman, Yunhui Liu, Ana Carolina Pereira Machado, Anson Main, Rachel Mallinger, Yael Mandelik, Bruno Ferreira Marques, Kevin Matteson, Frédéric Mccune, Ling-Zeng Meng, Jean Paul Metzger, Paula María Montoya-Pfeiffer, Carolina Morales, Lora Morandin, Jane Morrison, Sonja Mudri-Stojnić, Pakorn Nalinrachatakan, Olivia Norfolk, Mark Otieno, Mia G Park, Stacy M Philpott, Gideon Pisanty, Montserrat Plascencia, Simon G Potts, Eileen F Power, Kit Prendergast, Robyn D Quistberg, Davi De Lacerda Ramos, André Rodrigo Rech, Victoria Reynolds, Miriam H Richards, Stuart P M Roberts, Malena Sabatino, Ulrika Samnegård, Hillary Sardiñas, Karina Sánchez-Echeverría, Fernanda Teixeira Saturni, Jeroen Scheper, Amber R Sciligo, C Sheena Sidhu, Brian J Spiesman, Tuanjit Sritongchuay, Ingolf Steffan-Dewenter, Katharina Stein, Alyssa B Stewart, Jane C Stout, Hisatomo Taki, Pornpimon Tangtorwongsakul, Caragh G Threlfall, Carla Faleiro Tinoco, Teja Tscharntke, Katherine J Turo, Chatura Vaidya, Rémy Vandame, Carlos H Vergara, Blandina F Viana, Eric Vides-Borrell, Natapot Warrit, Elisabeth Webb, Catrin Westphal, Jennifer B Wickens, Neal M Williams, Nicholas S G Williams, Caleb J Wilson, Panlong Wu, Elsa Youngsteadt, Yi Zou, Lauren C Ponisio, Timothy C Bonebrake

Entomology Faculty Publications

Land use change threatens global biodiversity and compromises ecosystem functions, including pollination and food production. Reduced taxonomic α-diversity is often reported under land use change, yet the impacts could be different at larger spatial scales (i.e., γ-diversity), either due to reduced β-diversity amplifying diversity loss or increased β-diversity dampening diversity loss. Additionally, studies often focus on taxonomic diversity, while other important biodiversity components, including phylogenetic diversity, can exhibit differential responses. Here, we evaluated how agricultural and urban land use alters the taxonomic and phylogenetic α-, β-, and γ-diversity of an important pollinator taxon-bees. Using a multicontinental dataset of 3117 bee …

Lagrange Multipliers As A Metric For Early-Stage Shipboard Power System Design, Magdalen A. Barnes

Theses and Dissertations--Electrical and Computer Engineering

Integrated power systems are essential in the operation of electric ships and must function under a diverse range of conditions. In addition to routine operation, ships should be prepared to respond to challenging events that require significant amounts of power. Demanding scenarios, coupled with complex and interconnected power systems, present challenging issues. The power and energy ratings of equipment are crucial factors in the operational success of the ship; however, to meet economic constraints, balance between performance and cost must be upheld. Details regarding equipment models and specifications are typically unavailable during early-stage design. Power system modeling and simulation can …

Professional Quality Of Life Of Air Force First Sergeants: An Exploratory Study, Ryan K. Barney

Theses and Dissertations--Social Work

This exploratory study was designed to measure the prevalence and correlates of professional quality of life constructs in a novel population: active-duty Air Force First Sergeants. Given the similarities in duties and stressors that First Sergeants encounter with those of other helping professionals, this study aimed to expand the scope of existing professional quality of life research by applying Stamm’s (2010) professional quality of life framework to cross-sectional survey research with a sample of First Sergeants. Four primary research questions guided this study: first, what is the prevalence of secondary traumatic stress (STS), burnout, and compassion satisfaction in a sample …

A Systems-Based Framework For Product Circularity Assessment, Gisele Bortolaz Guedes, Junwon Ko, Fazleena Badurdeen, I. S. Jawahir, K. C. Morris, Vincenzo Ferrero

Mechanical Engineering Faculty Publications

One of the key aspects of Circular Economy (CE), particularly when focusing on the product level, lies in its emphasis on designing products to facilitate the circulation of resources and maximize value throughout their entire lifecycle. To effectively develop such products an understanding of the characteristics of circular products (CP) is needed. Adopting a systems perspective that considers the total lifecycle and stakeholders involved and recognizing interdependencies among them is essential for identifying factors that characterize CPs. Existing methods for assessing product circularity do not identify all factors that charac- terize CPs and have limitations in the measurement methods proposed, …

The Rhythm Of Renewables: Minute-By-Minute Insights From Kentucky, David S. Beyerle, Noah M. Stewart, Shaun E. Lavin, Chad C. Alkire, Heather Nikolic, Samuel Kelty, Ezekiel A. Boggs, Declan Boyle, Lawrence E. Holloway, Aron Patrick

Electrical and Computer Engineering Faculty Publications

Kentucky’s renewable energy landscape beats with a distinct rhythm shaped by ever-changing variations in sunlight, wind, rainfall, and the ever-modernizing grid that connects them. This paper analyzes minute-by-minute performance data from seven renewable and storage assets owned and operated by the PPL Corporation in Kentucky, including hydroelectric, solar, wind, and lithium-ion battery systems. Using a full year of synchronized, high-resolution data from multiple sites in the Commonwealth, the study examines daily and seasonal capacity factor trends, explores correlations among generation types, and evaluates their alignment with utility load profiles. Our analysis found 279 hours—about 3.2% of the year—with zero renewable …

Smart Homes, Grids, And Electric Vehicles Large-Scale Integration Studies Employing Machine Learning And Optimization Techniques, Rosemary E. Alden

Theses and Dissertations--Electrical and Computer Engineering

Residential digital twins are fundamental to the smart grid transition, and thus, must be both accurate and representative of existing homes and scalable for large distribution systems. Within this dissertation, new machine learning (ML) and physics-based methodologies are applied to the major individual residential loads, energy storage devices, and resources in the US to develop computationally efficient digital twins and new optimal control strategies for the virtual power plant (VPP) concept. Big data from experimental field demonstrations with dedicated metering, thousands of residential smart meter profiles, and large national human behavior surveys are employed to develop ultra-fast scalable residential load …

An Improved Machining Temperature Prediction Model For Aerospace Alloys: Effect Of Cutting Edge Radius And Tool Wear, Jonathan Theraroz, Oguzhan Tuysuz, Julius Schoop

Mechanical Engineering Faculty Publications

Temperature rise during machining impacts the workpiece material properties, residual stresses, surface and sub-surface quality. Experimental, numerical, and analytical methods have been used to predict the temperature fields in the tool, workpiece and chip. Each approach has its limitations: experimental techniques are cumbersome with expensive equipment, and numerical modeling is computationally inefficient. Existing analytical models only consider the effect of wear while ignoring the edge radius, though the latter changes with the flank wear in practice. To address this limitation, this article proposes an improved analytical temperature prediction model for orthogonal machining by introducing discrete linear heat sources on the …

Elucidating The Adverse Effects Of Chronic Pfos Exposure On Gastrointestinal Pathology And Colorectal Cancer, Jerika Durham

Theses and Dissertations--Toxicology and Cancer Biology

Commonly referred to as "forever chemicals," per- and polyfluoroalkyl substances (PFAS) have been linked to a number of detrimental health effects, including an elevated risk of cancer. One "long-chain" subtype of PFAS, perfluorooctanesulfonic acid (PFOS), has a long elimination half-life and a significant propensity for bioaccumulation. Because PFOS is commonly found in drinking water, the gastrointestinal system absorbs it at a high rate. Recent studies demonstrate that PFAS exposures promote intestinal inflammation and gut barrier dysfunction. However, how a long-term PFOS exposure affects colorectal cancer (CRC) progression is not known. Therefore, the purpose of this research is to understand how …

Predicting Biologic Nonadherence In Inflammatory Bowel Disease Using Machine Learning Models, Christian Rhudy

Theses and Dissertations--Clinical and Translational Science

Inflammatory bowel disease is a chronic relapsing-remitting disease of the intestinal tract affecting approximately 0.5% of the population in the US. Moderate to severe inflammatory bowel disease is managed with biologic therapies to induce and maintain remission, however nonadherence to biologics occurs in and estimated 16.9% and 45% of patients. Nonadherence to biologics can increase the risk of disease flares, emergent healthcare utilization, and surgical intervention. While numerous factors have been associated with biologic nonadherence, there are limited resources for prospectively assessing patient-specific risk of biologic nonadherence. Accordingly, objective of this work is to develop machine learning methods of predicting …

Voltage And Var Control And Real-Time Digital Simulator-Based Protection System Testing For Power Distribution Systems, Gaurav Yadav

Theses and Dissertations--Electrical and Computer Engineering

Rising power demand calls for electric distribution systems to manage peak load. One option is reducing feeder voltage, which lowers voltage-dependent load demand and may also reduce energy usage. The technique, known as Conservation Voltage Reduction (CVR), may operate independently or within a volt/var control system. This dissertation examines CVR factor calculation using measurements collected at the substation, and proposes a curve-fitting and artificial neural network method to estimate active power losses using input active power, reactive power, and substation voltage. As utilities integrate more inverter-based resources (IBRs) to support increasing demand, rapid voltage fluctuations arise due to the intermittent …

Portable Multi-Parametric Microscopy For Noninvasive Metabolic And Vascular Imaging Of Orthotopic Tongue Cancer Models In Vivo, Pranto Soumik Saha, Jing Yan, Caigang Zhu

Markey Cancer Center Faculty Publications

Significance: Precise imaging of tumor metabolism with its vascular microenvironment becomes emerging critical for cancer research because increasing evidence shows that the key attribute that allows a tumor to survive therapies is metabolic and vascular reprogramming. However, there are surprisingly few imaging techniques available to provide a systems-level view of tumor metabolism and vasculature in vivo on small animals for cancer discoveries.

Aim: We aim to develop a new multi-parametric microscope that can faithfully recapitulate in vivo metabolic and vascular changes with a wide field of view and microscope-level resolution to advance cancer-related investigations. To maximize the ease and accessibility …

Clonal Variation In Effector Gene Expression As A Mechanism For Pathogenic Adaptation In Magnaporthe Oryzae, Rebekah J. Ellsworth

Theses and Dissertations--Plant Pathology

Magnaporthe oryzae is a filamentous fungal pathogen that causes destructive diseases in cereals, including rice blast, wheat blast, and gray leaf spot. It is responsible for 10–30% annual yield losses in rice (Nalley et al., 2016) and up to 100% loss in wheat under favorable conditions (Kohli et al., 2011). Disease management typically relies on the use of resistant cultivars, but M. oryzae rapidly overcomes host resistance by mutating or deleting avirulence (AVR) genes recognized by host immune receptors. This rapid adaptation, often occurring within one to two growing seasons, presents a major challenge to breeding for durable resistance.

The …

A Framework For Ai Implementation In Construction: Use Cases, Challenges, And Benefits For Contractors, Jaqueline De Aquino Leite Gomes

Theses and Dissertations--Civil Engineering

The construction industry is one of the most important sectors that contribute to the economy worldwide, but it has been very slow in adopting digital transformation. Artificial Intelligence is the backbone of digital innovation, and it can help solve inefficiencies, improve safety, and enhance decision-making in construction. This thesis reviews 85 academic papers, identifies 354 AI use-cases, 180 benefits, and 173 challenges. Key findings have looked at the role of AI in safety monitoring, design optimization, and operational efficiency, while barriers involve data scarcity, high costs, and readiness of the workforce.

All of these challenges have one very handy framework …

Multi-Scale Computational Mechanical Modeling Of Complex Multi-Phase Materials Systems, Naji Al-Mashrafi

Theses and Dissertations--Chemical and Materials Engineering

This thesis employs finite-element–based computational methods to investigate how microstructural features and material heterogeneity govern mechanical behavior across three distinct complex systems. First, the elastic response of open-cell metallic foams is analyzed using large ensembles of model RVEs generated with the Kentucky Random Structures Toolkit (KRaSTk); finite-element homogenization reveals that effective stiffness is not dictated by relative density alone, as the skewness of ligament-length distributions—captured by the second Pearson’s coefficient—exerts a strong and previously unrecognized influence, with structures enriched in short load-bearing ligaments exhibiting consistently higher stiffness even at fixed density and connectivity. The second study examines heterogeneous polycrystalline solids …

An Investigation Into The Feasibility And Efficacy Of Stereotactic Radiosurgery For 1–3 Cm Single Brain Lesions On The Ring-Mounted Halcyon Linac, Kristin J. Hazelwood, Shane Mccarthy, Josh Misa, David Castelvetere, William St. Clair, Damodar Pokhrel

Radiation Medicine Faculty Publications

Purpose: An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions.

Methods: After completing the extensive in-house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson IROC SRS head phantom irradiation on Halcyon, fifteen brain SRS patients previously treated with a single dose of 20 Gy on TrueBeam (6MV-FFF) with HyperArc geometry were retrospectively replanned on Halcyon (6MV-FFF). Plan quality metrics including conformity index (CI), gradient index (GI), gradient distance (GD), PTV coverage, gross tumor volume (GTV) dose, heterogeneity …

A Predictive Quality Assurance Model For Patient-Specific Gamma Passing Rate Of Hyperarc-Based Stereotactic Radiotherapy And Radiosurgery Of Brain Metastases, Shane Mccarthy, Brent Harrison, Damodar Pokhrel

Radiation Medicine Faculty Publications

Objective: Measurement-based patient specific quality assurance (PSQA) is an increasingly debated topic among medical physicists. Developments like online adaptive radiotherapy and same-day stereotactic treatments limit the time to do measurement-based PSQA. Herein, we develop a predictive machine learning model to supplement PSQA by predicting the gamma passing rate (GPR) per stereotactic arc. This streamlines PSQA, providing planners the insight to replan potentially sub-optimal plans, to mitigate machine time inefficiencies.

Methods: 122 patients that had previously received HyperArc stereotactic radiosurgery/radiotherapy on a TrueBeam LINAC (Millenium 120 MLCs, 6MV-FFF) were used to generate a long short-term memory (LSTM) recurrent neural network to …