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Articles 7981 - 8010 of 1820589
Full-Text Articles in Entire DC Network
Technique-Level Normalization For Cybersecurity Intelligence: An Empirical Evaluation Of Att&Ck Attribution From Hids Alerts Using Fine-Tuned Transformers And Metadata Re-Ranking, Emad Sherif
International Journal of Cybersecurity Intelligence & Cybercrime
Cybercrime investigations increasingly depend on the ability to interpret large volumes of automated security events. For organizations without dedicated security operations centres, a situation common among small and medium enterprises, the manual translation of raw alerts into structured threat intelligence represents a critical bottleneck that slows investigative triage and limits cross-case comparability. This paper evaluates an automated enrichment pipeline designed to address this bottleneck by mapping security events to standardised adversary behaviour labels drawn from the MITRE ATT&CK framework, supporting both operational response and cybercrime investigation workflows. We compare three pipeline configurations, a general-purpose encoder model, a cybersecurity domain-adapted variant, …
Evaluation Of Dredged Sediments As A Partial Replacement For Fine Aggregate In Mortar And Concrete, Ashish Gautam
Evaluation Of Dredged Sediments As A Partial Replacement For Fine Aggregate In Mortar And Concrete, Ashish Gautam
Graduate Theses and Dissertations (2019 - present)
The feasibility of using dredged sediment from the Mobile River as a partial replacement for fine aggregate in mortar and concrete was investigated through a series of laboratory characterization and performance evaluation. Three dredged sediment samples (A, B and C) were initially examined, and Sample A was selected for further evaluation due to its closer resemblance to natural fine aggregate. This sample exhibited lower moisture content, higher sand equivalent values, higher specific gravity, and lower absorption. Mortar mixtures with 0, 10, 20, 30, 50, 75 and 100% dredged sediment replacement showed decreasing workability as the replacement level increased. The 20% …
Alfred Russel Wallace Notes 42: How Accurate Are The Transcriptions Presented At The Alfred Russel Wallace Page Website?, Charles H. Smith
Alfred Russel Wallace Notes 42: How Accurate Are The Transcriptions Presented At The Alfred Russel Wallace Page Website?, Charles H. Smith
Faculty/Staff Personal Papers
A look is taken at the level of accuracy displayed by the transcriptions of Wallace writings offered at the Alfred Russel Wallace Page website, as determined by a ChatGPT analysis.
Oak Savanna Expansion: Indigenizing Psu's Urban Landscape, Ash Herb
Oak Savanna Expansion: Indigenizing Psu's Urban Landscape, Ash Herb
University Honors Theses
Since time immemorial Indigenous Peoples have resided in what is now named Portland of the Pacific Northwest in the Willamette Valley. For hundreds of years, this forested Land has been colonized, razed to stumps and covered in cement in order to build the urban landscape. Due to such destruction on a broad scale, we are experiencing the results of climate catastrophe. By finding ways to reclaim our relationship with Land and returning to Indigenous epistemologies, our urban landscape has the opportunity to shift towards restoration and prosperity. Indigenous plants have existed here, supporting humans in a reciprocal relationship, for thousands …
University Of Central Florida Undergraduate Catalog, 2025-2026, University Of Central Florida
University Of Central Florida Undergraduate Catalog, 2025-2026, University Of Central Florida
UCF Catalogs
No abstract provided.
Computable Phenotypes For Research Using Real-World Data: Experiences From The Nih Pragmatic Trials Collaboratory, Marisa L Conte, Judith M Schlaeger, Guilherme Del Fiol, James R Campbell, Andrea L Cheville, Keith Marsolo, Kari A Stephens, Miriam O Ezenwa, Andrew D Boyd, Juanita E Darby, Nadine S Matthie, P Michael Ho, Alice Pressman, Morgan Justice, Carol Reynolds Geary, Keturah R Faurot, Alex Fist, Karen Staman, Hulin Wu, Rachel L Richesson
Computable Phenotypes For Research Using Real-World Data: Experiences From The Nih Pragmatic Trials Collaboratory, Marisa L Conte, Judith M Schlaeger, Guilherme Del Fiol, James R Campbell, Andrea L Cheville, Keith Marsolo, Kari A Stephens, Miriam O Ezenwa, Andrew D Boyd, Juanita E Darby, Nadine S Matthie, P Michael Ho, Alice Pressman, Morgan Justice, Carol Reynolds Geary, Keturah R Faurot, Alex Fist, Karen Staman, Hulin Wu, Rachel L Richesson
Faculty, Staff and Student Publications
Objectives: Embedded pragmatic clinical trials (ePCTs) are conducted as part of routine clinical care and therefore use data collected from real-world data sources, such as electronic health record systems and administrative claims. A common approach for using these types of data across all phases of trial conduct is to create a computable phenotype (an explicitly defined data query data, including specified data types, data codes, and logical parameters) to capture patients with a clinical condition, exposure, symptom, characteristic, treatment, or outcome of interest.
Materials and methods: The Electronic Health Record (EHR) Core Working Group of the NIH Pragmatic Trials Collaboratory …
Indigenous Community Research Opportunities, Sharon Hausam, Aaron M. Canter
Indigenous Community Research Opportunities, Sharon Hausam, Aaron M. Canter
Faculty Publications
This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …
Opportunities For Leadership In Indigenous And Tribally Engaged Research At The University Of New Mexico, Sharon Hausam
Opportunities For Leadership In Indigenous And Tribally Engaged Research At The University Of New Mexico, Sharon Hausam
Faculty Publications
This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …
Fuimos Olvidados Y Descuidados [Forgotten And Neglected]: Lessons Learned And Findings From On-Farm Covid-19 Education And Vaccine Clinics For Agricultural Workers And Their Multigenerational Families In Texas, Anabel Rodriguez, David I Douphrate, Ana L Pineda Reyes, Susana Zavala, Lus Chavez, Sofia Nicole Lopez, Andrea V Cabrera Cruz, Annie J Keeney, Nora Hernandez, Brenda Berumen-Flucker, Eva M Shipp, Matthew W Nonnenmann, Shannon P Guillot-Wright, Bethany Boggess Alcauter, G Lopez Ixta, Paula M Cuccaro, Higinio Fernandez-Sanchez, David Gimeno Ruiz De Porras
Fuimos Olvidados Y Descuidados [Forgotten And Neglected]: Lessons Learned And Findings From On-Farm Covid-19 Education And Vaccine Clinics For Agricultural Workers And Their Multigenerational Families In Texas, Anabel Rodriguez, David I Douphrate, Ana L Pineda Reyes, Susana Zavala, Lus Chavez, Sofia Nicole Lopez, Andrea V Cabrera Cruz, Annie J Keeney, Nora Hernandez, Brenda Berumen-Flucker, Eva M Shipp, Matthew W Nonnenmann, Shannon P Guillot-Wright, Bethany Boggess Alcauter, G Lopez Ixta, Paula M Cuccaro, Higinio Fernandez-Sanchez, David Gimeno Ruiz De Porras
Faculty, Staff and Student Publications
Background: Despite being deemed essential non-healthcare workers, agricultural workers were excluded from COVID-19 vaccine prioritization in Texas. This professional practice report describes the multifaceted worker health and safety approaches to protecting agricultural workers and their families during the COVID-19 pandemic.
Methods: Between March 2020 and January 2025, several outreach, education, and training grants from various funding agencies were leveraged to deliver training, personal protective equipment, vaccines, and economic relief to agricultural workers in partnership with community-based organizations, industry, local public health departments, and academic institutions.
Findings: Timely funding efforts led to the distribution of 1,000 PPE kits, with more than …
The Association Between Apoe Genotype, Race, And Dementia: An Analysis Of 7 Population-Based Cohort Studies, Natalia Lakomski, Katherine Giorgio, John Stephen, Maxwell Mansolf, Aïcha Soumaré, Alden L Gross, Allison E Aiello, Archana Singh-Manoux, M Arfan Ikram, Catherine Helmer, Claudia L Satizabal, Deborah A Levine, Donald M Lloyd-Jones, Emily M Briceño, Farzaneh A Sorond, Frank J Wolters, Jayandra J Himali, Lenore J Launer, Djass Mbangdadji, David Li, Lihui Zhao, Oscar L Lopez, Stéphanie Debette, Sudha Seshadri, Suzanne E Judd, Timothy M Hughes, Vilmundur Guðnason, Michael Griswold, Paul S De Vries, Alison Fohner, Pamela L Lutsey, Rachel Zmora, Elizabeth A Peterson, Denise Scholtens, Norrina B Allen, Sanaz Sedaghat
The Association Between Apoe Genotype, Race, And Dementia: An Analysis Of 7 Population-Based Cohort Studies, Natalia Lakomski, Katherine Giorgio, John Stephen, Maxwell Mansolf, Aïcha Soumaré, Alden L Gross, Allison E Aiello, Archana Singh-Manoux, M Arfan Ikram, Catherine Helmer, Claudia L Satizabal, Deborah A Levine, Donald M Lloyd-Jones, Emily M Briceño, Farzaneh A Sorond, Frank J Wolters, Jayandra J Himali, Lenore J Launer, Djass Mbangdadji, David Li, Lihui Zhao, Oscar L Lopez, Stéphanie Debette, Sudha Seshadri, Suzanne E Judd, Timothy M Hughes, Vilmundur Guðnason, Michael Griswold, Paul S De Vries, Alison Fohner, Pamela L Lutsey, Rachel Zmora, Elizabeth A Peterson, Denise Scholtens, Norrina B Allen, Sanaz Sedaghat
Faculty, Staff and Student Publications
Background and objectives: The apolipoprotein E (APOE) haplotypes are known to be associated with dementia, with the ε4 haplotype associated with higher risk. It has been suggested that the APOE ε2 allele serves as a protective factor for dementia. However, data on the effects of the homozygous APOE ε2/ε2 genotype are limited, likely due to the rarity of the APOE ε2/ε2 genotype. Furthermore, the association between APOE genotypes and dementia may differ across self-reported race. We aim to investigate the association between APOE genotypes and dementia overall and across self-reported race, with a focus on the potential protective …
Emergency Medical Services Mental Health: Causes Of Providers Leaving The Industry, Brian C. Selke
Emergency Medical Services Mental Health: Causes Of Providers Leaving The Industry, Brian C. Selke
Graduate Theses and Dissertations (2019 - present)
Employee resilience and mental health have become critical concerns in Emergency Medical Services (EMS) as workforce shortages increasingly threaten staffing stability and patient care. National Registry of Emergency Medical Technicians (NREMT) data indicates that more than 30% of eligible EMS providers did not recertify between 2020 and 2023, raising concerns about workforce sustainability. This study examines EMS providers’ intentions to leave the profession and identifies workplace factors associated with turnover. A statewide survey of more than 1,200 licensed EMS providers in Alabama was analyzed using regression techniques to evaluate the relationship between workplace conditions and turnover intentions. Results demonstrate that …
"I Can See Where This Is Taking Me": Medical Students' Perceptions Of Humanities Courses At Aga Khan University, Kenya, Catherine Gathu, Marthaclaire Zammit, Urvi Saboo, Robert Opoka
"I Can See Where This Is Taking Me": Medical Students' Perceptions Of Humanities Courses At Aga Khan University, Kenya, Catherine Gathu, Marthaclaire Zammit, Urvi Saboo, Robert Opoka
Family Medicine, East Africa
Background Humanities courses in medical training are increasingly recognized as essential for developing empathetic, reflective and socially responsive physicians. Although well-established globally, their integration into medical education in African contexts remains limited. In Kenya, humanities are often peripheral within curricula dominated by biomedical sciences and clinical medicine. Aga Khan University (AKU), Nairobi, has introduced a novel medical curriculum that embeds seven core humanities courses as central components of the initial phase of its MBChB program. This study explored students’ perceptions and lived experiences of these humanities courses.
Methods A retrospective descriptive study using an embedded mixed-methods design was conducted among …
Menopausal Symptoms, Psychosocial Factors, And Physical Activity Among Physically Active Midlife Females, Ella Onsoriasl
Menopausal Symptoms, Psychosocial Factors, And Physical Activity Among Physically Active Midlife Females, Ella Onsoriasl
Exercise Science Theses & Dissertations
Menopausal symptoms are common during midlife and may be associated with females' physical activity (PA) participation, yet how these symptoms relate to PA levels, perceived confidence and enjoyment, and psychosocial resources such as social support (SS), exercise identity, and quality of life (QOL) remains unclear. The purpose of this study was to examine how menopausal symptom severity relates to PA levels, perceived confidence and enjoyment during PA, and psychosocial factors, including SS, exercise identity, and QOL. This cross-sectional study surveyed 151 midlife females aged 40 to 60 who reported engaging in intentional PA at least once per week. Participants completed …
Effective Strategies For Accessing Capital For Startup Agricultural Entrepreneurs In St. Vincent And The Grenadines, Tonya Pompey
Effective Strategies For Accessing Capital For Startup Agricultural Entrepreneurs In St. Vincent And The Grenadines, Tonya Pompey
Walden Dissertations and Doctoral Studies
Limited access to capital is a significant barrier to market entry and long term sustainability in the agricultural industry. Agricultural business owners consistently identify capital constraints as the leading predictor of startup failure. Grounded in institutional theory, the purpose of this qualitative pragmatic inquiry was to identify and explore effective strategies that agricultural startup business owners used to access capital for market entry and business sustainability. The participants were six agricultural startup entrepreneurs in St. Vincent and the Grenadines (SVG) who used effective strategies to access capital for market entry and sustained business operations for at least 2 years. Data …
Criticality In A Heterogeneous Neutron Transport Rod Model, Samuel Kaleb Crowford
Criticality In A Heterogeneous Neutron Transport Rod Model, Samuel Kaleb Crowford
All Graduate Reports and Creative Projects, Fall 2023 to Present
This work studies the stochastic behavior of neutron populations in a one-dimensional rod model using Monte Carlo simulation. The first part of this project reproduces the computational results of Dumonteil, Horton, Kyprianou, and Zoia (2025) by independently implementing the Monte Carlo algorithm described in their article, with the asymptotic behavior of the first moment analyzed in relation to the dominant eigenvalue and adjoint eigenfunction of the neutron transport operator. The model is then extended to a heterogeneous setting by introducing a central region where fission is suppressed. A global expectation over initial positions and directions is used to estimate the …
Advancements In Modern Seismic Monitoring: Integrating Novel And Traditional Methods For Earthquake Detection, Characterization, And Structural Imaging, Marc Adrian Garcia
Advancements In Modern Seismic Monitoring: Integrating Novel And Traditional Methods For Earthquake Detection, Characterization, And Structural Imaging, Marc Adrian Garcia
Open Access Theses & Dissertations
Modern seismic monitoring has been transformed by machine-learning methods that detect and locate earthquakes at scales manual analysis cannot reach. This dissertation develops, validates, and applies such workflows across three settings that span the range of modern monitoring problems: a major subduction-zone aftershock sequence, the tectonic questions that sequence can answer, and an urban region without any local monitoring at all. First, I construct a high-resolution catalog for the aftershock sequence of the September 8, 2017, Mw 8.2 Tehuantepec, Mexico earthquake, by integrating deep-learning phase detection with established location and relocation methods. The resulting catalog of 11,374 relocated earthquakes is …
A Patch-Level Framework For Urban Vegetation Water Demand Estimation Using Remote Sensing And Deep Learning, Jesus Daniel Pereyra Manriquez
A Patch-Level Framework For Urban Vegetation Water Demand Estimation Using Remote Sensing And Deep Learning, Jesus Daniel Pereyra Manriquez
Open Access Theses & Dissertations
Urban water management in semi-arid regions requires an improved understanding of how vegetation and climatic conditions influence landscape water demand. Existing approaches often lack an integrated, spatially consistent framework to quantify this relationship at fine scales. This study proposes a patch-level framework to estimate relative landscape water demand by integrating vegetation coverage, vegetation condition, and atmospheric demand. Vegetation coverage is derived from high-resolution imagery obtained from the National Agriculture Imagery Program (NAIP) using a U-Net segmentation model with a MobileNetV2 backbone. A patch-based representation is used to ensure spatial consistency across the study area. Seasonal vegetation dynamics are captured using …
Domain Adaptation Of Facial Age Estimation For Law Enforcement Mugshot Repositories, Jorge Alejandro Pacheco Roque
Domain Adaptation Of Facial Age Estimation For Law Enforcement Mugshot Repositories, Jorge Alejandro Pacheco Roque
Open Access Theses & Dissertations
Facial age estimation supports law enforcement via image-based, age-filtered queries, age-progressive re-identification, and bulk record labeling, where prediction accuracy determines if the resulting decisions can be trusted. State-of-the-art models excel on web imagery but incur higher error on mugshots due to domain shift between the professionally lit, filtered, and posed web photographs used during pre-training and the uniform backgrounds, uncooperative expressions, and decades of evolving capture technology found in mugshot collections. We address this gap by adapting SwinFace - a state-of-the-art multi-task Swin Transformer with public code and pretrained weights, trained on color face imagery for face recognition, facial expression …
Dlc Thin Films For Semiconductor Applications, Balam Arturo Sotelo
Dlc Thin Films For Semiconductor Applications, Balam Arturo Sotelo
Open Access Theses & Dissertations
The growing need for resilient semiconductor supply chains has increased the interest in developing local and accessible materials fabrication strategies. Since large-scale semiconductor manufacturing is complex to establish quickly, simpler deposition techniques may provide a practical route to start developing semiconductors materials. Diamond-like carbon (DLC) is a promising candidate in this context because its properties can be tailored through substrate selection and processing parameters.
This thesis establishes an initial framework for the study and fabrication of diamond-like carbon (DLC) materials in the Department of Physics at The University of Texas at El Paso. DLC thin films were deposited by magnetron …
Stabilized Continuous Galerkin Methods For Heat Transport In Fully Coupled Nonlinear Thermo-Poroelasticity In Heterogeneous Porous Media, Payel Dey
Open Access Theses & Dissertations
This thesis focuses on the numerical approximation of a coupled Thermo-Hydro-Mechanical (THM) model with advective heat transport in heterogeneous media. The governing equations consist of three coupled equations: the momentum balance, the fluid mass balance, and the energy balance. The primary unknowns are displacement, pressure, and temperature. In this system, the fluid pressure determines the Darcy flux, and this flux transports heat through the advective term in the energy equation. Since the Darcy flux is computed numerically from the flow equation, the conservation properties of the flow approximation can affect the temperature solution. This effect is especially important when thermal …
Optimization Of A Cryogenic Electrical Characterization System And Its Application To Thermal Admittance Spectroscopy, Angel Efren Garcia
Optimization Of A Cryogenic Electrical Characterization System And Its Application To Thermal Admittance Spectroscopy, Angel Efren Garcia
Open Access Theses & Dissertations
Defect characterization in semiconductors relies on locating trap levels through the temperature dependence of carrier emission, which makes the accuracy of the device temperature a limiting factor in every extracted parameter. This work addresses the limitations in the cryogenic electrical characterization system at The University of Texas at El Paso, where Deep-Level Transient Spectroscopy (DLTS) had been established but produced activation energies that disagreed with literature values by as much as 0.33 eV. The discrepancy was traced not to the technique but to the transfer of heat to packaged devices in a probe station designed for on-die measurement. The cryogenic …
A Hybrid Machine Learning-Based Feasibility Prediction Of 3d Mechanical Designs Using Scalar And Geometric Features, Md Mohsin Uddin Fahim
A Hybrid Machine Learning-Based Feasibility Prediction Of 3d Mechanical Designs Using Scalar And Geometric Features, Md Mohsin Uddin Fahim
Open Access Theses & Dissertations
The computational bottleneck of structural feasibility screening frequently hinders the transition from a digital 3D model to a physically manufactured component. Traditionally, engineers have relied on either overly rigid heuristic constraint checks or computationally exhaustive finite element simulations. To address this inefficiency, this thesis proposes and validates a hybrid machine-learning framework to predict the structural manufacturability of 3D mechanical designs. Moving beyond the conventional reliance on isolated scalar parameters, the proposed methodology extracts and integrates both scalar manufacturing constraints (e.g., tolerance, minimum feature thickness) and spatial geometric descriptors (e.g., bounding volume, aspect ratio) directly from STL mesh data. Utilizing a …
Prevalence Of Type 2 Diabetes Risk Factors Among Landscaping Workers In El Paso, Texas, Valeria Fontes
Prevalence Of Type 2 Diabetes Risk Factors Among Landscaping Workers In El Paso, Texas, Valeria Fontes
Open Access Theses & Dissertations
Type 2 diabetes mellitus (T2DM) is a significant public health challenge worldwide, yet little is known about the prevalence of diabetes risk factors among landscaping workers, an understudied occupational group. The purpose of this pilot study was to estimate the prevalence of type 2 diabetes risk factors among landscaping workers in El Paso, Texas. A descriptive cross-sectional study was conducted using a convenience sample of 20 landscaping workers. Participants completed a structured questionnaire and underwent anthropometric measurements, blood pressure assessment, point-of-care lipid and glucose testing, and vitamin D screening. Sixteen type 2 diabetes risk factors were assessed across seven domains: …
Ai-Assisted Import Of Static Requirements Documents Into Sysml Models Using A Vibe-Coded Plugin Approach, Joshua Larson
Ai-Assisted Import Of Static Requirements Documents Into Sysml Models Using A Vibe-Coded Plugin Approach, Joshua Larson
Open Access Theses & Dissertations
Model-based systems engineering (MBSE) promises a single authoritative model in place of static documents, but the translation of requirements documents into that model remains manual, slow, and dependent on scarce modeling expertise. This thesis asks whether an AI-assisted workflow can automate that translation, and whether the tooling itself can be built by vibe coding, in which a practitioner directs an AI in natural language rather than writing code directly. The result is a plugin for Magic Systems of Systems Architect (MSoSA) 2022x that reads a PDF requirements document, extracts requirements through the Anthropic Claude API, and generates a SysML model …
Where Electrons Localize And Bonds Vibrate: Computational Insights Into Lanthanides And Octanoic Acid., Sonam Choki Lhamo
Where Electrons Localize And Bonds Vibrate: Computational Insights Into Lanthanides And Octanoic Acid., Sonam Choki Lhamo
Open Access Theses & Dissertations
Density Functional Theory (DFT) is a widely used approach for studying the electronic and vibrational properties of atomic and molecular systems. It provides a practical balance between accuracy and computational cost, making it suitable for a broad range of applications in quantum chemistry and materials science. The primary focus of this thesis is the electronic structure of lanthanide atoms, where strongly localized 4f electrons give rise to significant self-interaction errors in conventional density functional approximations. The performance of the Perdew-Zunger self-interaction correction (PZSIC) and the locally scaled self-interaction correction (LSIC) approach developed by Zope et al. is investigated using both …
Optimizing Urban Forestry Through Green Infrastructure: Tree Health And Water Retention In Ciudad Juarez Rain Gardens, Tomas Rogelio Lizarraga Ruiz
Optimizing Urban Forestry Through Green Infrastructure: Tree Health And Water Retention In Ciudad Juarez Rain Gardens, Tomas Rogelio Lizarraga Ruiz
Open Access Theses & Dissertations
Urban green spaces (UGS) in arid regions face significant challenges due to water scarcity and extreme thermal demand. This study evaluates the efficacy of Nature Based Solutions (NBS), rain gardens and median strips, in enhancing the physiological resilience of urban trees in Ciudad Juárez, Mexico. Using a comparative framework, the research monitored a native evergreen (Dermatophyllum secundiflorum) and an introduced deciduous species (Morus sp.) across six planting treatments. Statistical analysis reveals that green infrastructure (GI) acts as a critical physiological accelerant. Trees situated within rain gardens and medians significantly outperformed those in restricted pot and sidewalk settings, maintaining higher stomatal …
A Computational Approach To Electronic Coupling In Molecular Dyads, Irving Alejandro Lopez Ruiz
A Computational Approach To Electronic Coupling In Molecular Dyads, Irving Alejandro Lopez Ruiz
Open Access Theses & Dissertations
Excitation energy transfer (EET) is a fundamental process in photosynthetic systems and molecular photonic devices, where the efficient transport of electronic excitation between donor and acceptor chromophores determines the overall performance of the system. The electronic coupling V_DA between the transition densities of the two fragments is the central quantity governing this process in the weak-coupling (Förster) regime, and its accurate numerical evaluation is the main objective of this work. Two independent computational implementations of the Coulomb interaction between transition densities were developed and applied to a set of five anthracene-BODIPY donor-acceptor dyads, studied under two geometric configurations: one preserving …
Hfir Antineutrino Flux Mapping With Scale Mesh Tallies, Jacob Adam Mireles
Hfir Antineutrino Flux Mapping With Scale Mesh Tallies, Jacob Adam Mireles
Open Access Theses & Dissertations
This thesis develops and demonstrates a workflow for mapping the spatial distribution of reactor electron antineutrino flux around the High Flux Isotope Reactor (HFIR) using three-dimensional mesh tallies from the SCALE 6.3.1 Monte Carlo transport suite. A detailed HFIR model is executed with KENO, and the mesh-tally output is post-processed to construct a voxelized antineutrino source term. The source field is normalized to reactor power and propagated to sampled spatial points surrounding the reactor to generate three-dimensional source-side flux maps. The main analysis focuses on how the mesh-based HFIR antineutrino flux differs from an ideal point-source approximation. In the point-source …
Physics Model Calibration Via Functional Kernel Regression, Kwesi Appau Ohene-Obeng
Physics Model Calibration Via Functional Kernel Regression, Kwesi Appau Ohene-Obeng
Open Access Theses & Dissertations
Physics based computational simulators encode the governing equations of complex physical phenomena through parameters that must be inferred from empirical observations, and the observational record in modern experimental campaigns is increasingly a high dimensional functional response rather than a scalar summary. The canonical treatment of this calibration problem through the additive discrepancy decomposition of Kennedy and O'Hagan incurs O(N^3obs) Gaussian process inversion costs at functional resolution, sensitivity to discrepancy prior specification, and the confounding identifiability between the calibration parameter and the discrepancy function; scalar reduction strategies bypass the cost but discard the morphological information that the functional response carries about …
A Hybrid Vsm-Des Approach For Bottleneck Identification And Reduction In A Continous One-Piece Flow Assembly System, Ana Sofia Rey Nevarez
A Hybrid Vsm-Des Approach For Bottleneck Identification And Reduction In A Continous One-Piece Flow Assembly System, Ana Sofia Rey Nevarez
Open Access Theses & Dissertations
Identifying bottlenecks in a production line is rarely as easy as pointing to the slowest station and assuming that's where the problem is. The real question is which stations moves the system when you change them. Lean manufacturing has been one of the initiatives that major companies in the U.S. have been trying to adopt to remain competitive. This thesis aims to understand the results of applying a combination of a Discrete-Event Simulation (DES) with a Value Stream Mapping (VSM), to find the bottleneck of a continuous one-piece flow assembly line of a tier-1 power management manufacturer from the El …