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Articles 4621 - 4650 of 52423
Full-Text Articles in Entire DC Network
Salt, Robert Yokel
Salt, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Condiments And Spreads, Robert Yokel
Condiments And Spreads, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Baking Powder And Baking Soda, Robert Yokel
Baking Powder And Baking Soda, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Other Spices, Alphabetically, Robert Yokel
Other Spices, Alphabetically, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
A Critical Analysis Of Circular Product Attributes And Limitations Of Product Circularity Assessment Methods, Junwon Ko, Gisele Bortolaz Guedes, Fazleena Badurdeen, I. S. Jawahir, K. C. Morris, Vincenzo Ferrero, Buddhika M. Hapuwatte, Ryan Bradley, Ardeshir Raihanian
A Critical Analysis Of Circular Product Attributes And Limitations Of Product Circularity Assessment Methods, Junwon Ko, Gisele Bortolaz Guedes, Fazleena Badurdeen, I. S. Jawahir, K. C. Morris, Vincenzo Ferrero, Buddhika M. Hapuwatte, Ryan Bradley, Ardeshir Raihanian
Institute for Sustainable Manufacturing Faculty Publications
The Circular Economy (CE) has been proposed as a strategy to promote the efficient use of resources, maximizing the benefits derived from materials and products through value recovery strategies, and minimizing waste generation. However, ambiguity remains in defining what makes a product circular and its characteristics when adapting the CE concept for application at the product level. More clarity about the constitutive characteristics of Circular Products (CPs) is also vital to facilitate their design. To address this challenge, and with the intention to increase the adoption of CE concept within the industry, the descriptions and attributes of a Circular Product …
Causes And Prevention Of Thermal Runaway In Lithium-Ion Batteries — A U.S. Utility Perspective, Shaun Lavin, Kwabena Kyeremeh, Elias Nemeh, David Beyerle, Chad Alkire, Samuel Kelty, Lakshmi Srinivasan, Stephanie Shaw, Erin Minear, Haresh Kamath, Dan Ionel, Aron Patrick
Causes And Prevention Of Thermal Runaway In Lithium-Ion Batteries — A U.S. Utility Perspective, Shaun Lavin, Kwabena Kyeremeh, Elias Nemeh, David Beyerle, Chad Alkire, Samuel Kelty, Lakshmi Srinivasan, Stephanie Shaw, Erin Minear, Haresh Kamath, Dan Ionel, Aron Patrick
Power and Energy Institute of Kentucky Faculty Publications
Lithium-ion batteries are a critically important technology for maintaining grid reliability with the integration of variable intermittent renewable energy resources. However, lithium-ion batteries also pose significant human safety and infrastructure hazards due to the inherent risk of thermal runaway, fire, and explosion, which should be understood, mitigated, and managed. While battery manufacturers have primary responsibility for the design, manufacturing, and software which are necessary to keep battery storage systems safe, electric utilities also have an important role in understanding these risks and adopting best practices to mitigate them. This paper provides background on utility-scale battery deployment, an overview of a …
The Effect Of Organic Semiconductor Electron Affinity On Preventing Parasitic Oxidation Reactions Limiting Performance Of N-Type Organic Electrochemical Transistors, Maryam Alsufyani, Benjamin Moss, Claudia E. Tait, William K. Myers, Maryam Shahi, Katherine Stewart, Xiaolei Zhao, Reem B. Rashid, Dilara Meli, Ruiheng Wu, Bryan D. Paulsen, Karl J. Thorley, Yuanbao Lin, Craig Combe, Charlie Kniebe-Evans, Sahika Inal, Sang Young Jeong, Han Young Woo, Grant Ritchie, Ji-Seon Kim, Jonathan Rivnay, Alexandra F. Paterson, James R. Durrant, Iain Mcculloch
The Effect Of Organic Semiconductor Electron Affinity On Preventing Parasitic Oxidation Reactions Limiting Performance Of N-Type Organic Electrochemical Transistors, Maryam Alsufyani, Benjamin Moss, Claudia E. Tait, William K. Myers, Maryam Shahi, Katherine Stewart, Xiaolei Zhao, Reem B. Rashid, Dilara Meli, Ruiheng Wu, Bryan D. Paulsen, Karl J. Thorley, Yuanbao Lin, Craig Combe, Charlie Kniebe-Evans, Sahika Inal, Sang Young Jeong, Han Young Woo, Grant Ritchie, Ji-Seon Kim, Jonathan Rivnay, Alexandra F. Paterson, James R. Durrant, Iain Mcculloch
Chemical and Materials Engineering Faculty Publications
A key challenge in the development of organic mixed ionic-electronic conducting materials (OMIEC) for high performance electrochemical transistors is their stable performance in ambient. When operating in aqueous electrolyte, potential reactions of the electrochemically injected electrons with air and water could hinder their persistence, leading to a reduction in charge transport. Here, the impact of deepening the LUMO energy level of a series of electron-transporting semiconducting polymers is evaluated, and subsequently rendering the most common oxidation processes of electron polarons thermodynamically unfavorable, on organic electrochemical transistors (OECTs) performance. Employing time resolved spectroelectrochemistry with three analogous polymers having varying electron affinities …
Economic Contribution Of Kentucky Airports, P. Gayle Marks, Bethany Paris, Bryan Gibson
Economic Contribution Of Kentucky Airports, P. Gayle Marks, Bethany Paris, Bryan Gibson
Kentucky Transportation Center Research Report
Airports generate economic impacts that are felt well beyond their physical boundaries by supporting commerce, tourism, and the provision of essential services. To understand the economic contributions of airports throughout Kentucky, researchers collected data from general aviation (GA) airports and commercial service (CS) airports across the state on operational statistics, levels of employment, and usage patterns in calendar year 2022. IMPLAN® econometric models were developed to estimate the economic contributions of the state’s airports. These models show that in 2022 Kentucky’s airports contributed $23.7 billion in total economic output, which equals 9.1 percent of its gross domestic product ($261.5 …
Combined Machine Learning And Differential Evolution For Optimal Design Of Electric Aircraft Propulsion Motors, David R. Stewart, Matin Vatani, Rosemary E. Alden, Donovin D. Lewis, Pedram Asef, Dan M. Ionel
Combined Machine Learning And Differential Evolution For Optimal Design Of Electric Aircraft Propulsion Motors, David R. Stewart, Matin Vatani, Rosemary E. Alden, Donovin D. Lewis, Pedram Asef, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
Electric aircraft propulsion requires highly efficient and power-dense fault-tolerant electric motors optimized for specific flight profile operation. State-of-the-art design of electric motors involves substantial computational resources and combines electromagnetic finite element analysis (FEA) and optimization techniques. This paper proposes a new approach using a physics-based machine learning (ML) multi-input univariate meta-model trained on FEA and differential evolution (DE) optimization results to predict electromagnetic torque output. Hundreds of individual designs, generated through multiple generations of a DE algorithm, are analyzed by 3D FEA to create a database, which is then employed for the training and satisfactory validation of the ML model. …
Table F: Daily Dietary Aluminum Consumption, Robert Yokel
Table F: Daily Dietary Aluminum Consumption, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Table A: Temperature Influence On Aluminum Mobilization Into Beverages And Foods, Robert Yokel
Table A: Temperature Influence On Aluminum Mobilization Into Beverages And Foods, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Improving Transportation Resiliency, Ben Blandford, Erin Lammers-Staats, Emma Gregory
Improving Transportation Resiliency, Ben Blandford, Erin Lammers-Staats, Emma Gregory
Kentucky Transportation Center Research Report
Transportation agencies are increasingly more challenged by the effects of extreme weather and national hazards on transportation assets. Severe weather events in Kentucky have become more frequent and more costly. These extreme events damage transportation assets, increase maintenance costs and strain transportation budgets. Climate models predict changing conditions to occur over the next century that differ from historical data. In Kentucky, models predict a warmer and wetter environment. The goal of this research is to help KYTC plan for extreme weather and natural hazards events, as well as absorb, recover from, and adapt to the resulting damage. Researchers determined where …
Tap Vs. Bottled Water, Robert Yokel
Tap Vs. Bottled Water, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Chamomile Infusion, Robert Yokel
Chamomile Infusion, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Oolong Tea Infusion, Robert Yokel
Oolong Tea Infusion, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Puer Tea, Dry, Robert Yokel
Puer Tea, Dry, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Yogurt, Robert Yokel
Yogurt, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Cephalopods (Cuttlefish, Octopus, And Squid), Robert Yokel
Cephalopods (Cuttlefish, Octopus, And Squid), Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Vinegar, Robert Yokel
Vinegar, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Grapefruit And Grapefruit Juice, Robert Yokel
Grapefruit And Grapefruit Juice, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Grape Juice, Robert Yokel
Grape Juice, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Table F: Fluoride Influence On Aluminum Mobilization Into Beverages And Foods, Robert Yokel
Table F: Fluoride Influence On Aluminum Mobilization Into Beverages And Foods, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Coffee Beverage, Robert Yokel
Coffee Beverage, Robert Yokel
Aluminum in Beverages and Foods: A Compilation
No abstract provided.
Spatiotemporal Wind Energy Assessment For Transmission Network Integration Considering The Location Of Electrical Substations And Loads, Kwabena Kyeremeh, Rosemary E. Alden, Aron Patrick, Dan M. Ionel
Spatiotemporal Wind Energy Assessment For Transmission Network Integration Considering The Location Of Electrical Substations And Loads, Kwabena Kyeremeh, Rosemary E. Alden, Aron Patrick, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
Wind energy is an abundant renewable resource that can support decarbonization of energy supply. It is, therefore, essential to conduct a comprehensive assessment of wind energy potential for effective transmission network planning and integration. This work introduces a spatial-temporal assessment methodology for wind energy name plate-rated power capacity that considers the locations of electrical substations and transmission lines. This methodology applies Geographic Information System (GIS) land cover data to define siting exclusions for wind turbine installations. The correlation between generated wind power and estimates of power system load, as well as capacity factor, on a sub-regional basis for specific latest …
Combined 3d Fea And Machine Learning Design Of Inductive Polyphase Coils For Wireless Ev Charging, Lucas A. Gastineau, Donovin D. Lewis, Dan M. Ionel
Combined 3d Fea And Machine Learning Design Of Inductive Polyphase Coils For Wireless Ev Charging, Lucas A. Gastineau, Donovin D. Lewis, Dan M. Ionel
Electrical and Computer Engineering Graduate Research
Wireless power transfer (WPT) technologies are currently researched and developed for charging the batteries of electric unmanned air and ground vehicles. This paper presents systems with special polyphase inductive coils, which generate rotating fields and achieve high power density and efficiency. The complex geometry is modeled and studied with 3D electromagnetic finite element analysis (FEA). In order to reduce the substantial computational effort, machine learning techniques are proposed for surrogate modeling. A deep learning algorithm is introduced to capture the physics-based relationships between geometry and electromagnetic properties in inductive coils for wireless charging. Parametric models are systematically generated and analyzed …
Beyond 2d: Novel Biomaterial Approaches For Modeling The Placenta, Samantha G. Zambuto, Adrienne K. Scott, Michelle L. Oyen
Beyond 2d: Novel Biomaterial Approaches For Modeling The Placenta, Samantha G. Zambuto, Adrienne K. Scott, Michelle L. Oyen
Biomedical Engineering Faculty Publications
This review considers fully three-dimensional biomaterial environments of varying complexity as these pertain to research on the placenta. The developments in placental cell sources are first considered, along with the corresponding maternal cells with which the trophoblast interact. We consider biomaterial sources, including hybrid and composite biomaterials. Properties and characterization of biomaterials are discussed in the context of material design for specific placental applications. The development of increasingly complicated three-dimensional structures includes examples of advanced fabrication methods such as microfluidic device fabri- cation and 3D bioprinting, as utilized in a placenta context. The review finishes with a discussion of the …
Size And Shape Dependence Of Hydrogen-Induced Phase Transformation And Sorption Hysteresis In Palladium Nanoparticles, Xingsheng Sun, Rong Jin
Size And Shape Dependence Of Hydrogen-Induced Phase Transformation And Sorption Hysteresis In Palladium Nanoparticles, Xingsheng Sun, Rong Jin
Chemical and Materials Engineering Faculty Publications
Phase transitions of metals in hydrogen (H) environments are critically import- ant for applications in energy storage, catalysis, and sensing. Nanostructured metallic particles can lead to faster charging and discharging kinetics, increased lifespan, and enhanced catalytic activities. However, establishing a direct causal link between nanoparticle structure and function remains challenging. In this work, we establish a computational framework to explore the atomic config- uration of a metal-hydrogen system when in equilibrium with a H environ- ment. This approach combines Diffusive Molecular Dynamics with an itera- tion strategy, aiming to minimize the system’s free energy and ensure uniform chemical potential across …
Frequency Of Low Impact Scores Among Adolescent And Young Adult Student-Athletes With Attention-Deficit/Hyperactivity Disorder And/Or Learning Disorder, Philip Schatz, John Cuzzupe, Justin E. Karr, Nathan E. Cook, Grant L. Iverson
Frequency Of Low Impact Scores Among Adolescent And Young Adult Student-Athletes With Attention-Deficit/Hyperactivity Disorder And/Or Learning Disorder, Philip Schatz, John Cuzzupe, Justin E. Karr, Nathan E. Cook, Grant L. Iverson
Neurology Faculty Publications
Introduction: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by attention problems, excessive activity, and impulsivity - occurring in approximately 13% of children 12– 17 years of age, and as many as 16% of older adolescents 18–22 years of age, with a greater prevalence in boys than girls. ADHD frequently co-occurs with specific learning disorder (LD), a neurodevelopmental disorder characterized by difficulties learning and using academic skills, such as reading, writing, and mathematics. Taken together, ADHD and/or LD are common among high school students and college students and can influence performance on computerized tests used in concussion management. However, normative …
The Role Of A Dental Healthcare Provider, Jeffrey P. Okeson
The Role Of A Dental Healthcare Provider, Jeffrey P. Okeson
Neurology Faculty Publications
No abstract provided.
Novel Multi-Omics Deconfounding Variational Autoencoders Can Obtain Meaningful Disease Subtyping, Zuqi Li, Sonja Katz, Edoardo Saccenti, David W. Fardo, Peter Claes, Vitor A.P. Martins Dos Santos, Kristel Van Steen, Gennady V. Roshchupkin
Novel Multi-Omics Deconfounding Variational Autoencoders Can Obtain Meaningful Disease Subtyping, Zuqi Li, Sonja Katz, Edoardo Saccenti, David W. Fardo, Peter Claes, Vitor A.P. Martins Dos Santos, Kristel Van Steen, Gennady V. Roshchupkin
Biostatistics Faculty Publications
Unsupervised learning, particularly clustering, plays a pivotal role in disease subtyping and patient stratification, especially with the abundance of large-scale multi-omics data. Deep learning models, such as variational autoencoders (VAEs), can enhance clustering algorithms by leveraging inter-individual heterogeneity. However, the impact of confounders—external factors unrelated to the condition, e.g. batch effect or age—on clustering is often overlooked, introducing bias and spurious biological conclusions. In this work, we introduce four novel VAE-based deconfounding frameworks tailored for clustering multi-omics data. These frameworks effectively mitigate confounding effects while preserving genuine biological patterns. The deconfounding strategies employed include (i) removal of latent features correlated …