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Articles 38881 - 38910 of 39053
Full-Text Articles in Entire DC Network
Green Synthesis Of Zinc Oxide Nanoparticles From Althaea Officinalis Flower Extract Coated With Chitosan For Potential Healing Effects On Diabetic Wounds By Inhibiting Tnf-Α And Il-6/Il-1Β Signaling Pathways, Sammar Fathy Elhabal, Nashwa Abdelaal, Saeed Abdul Kareem Saeed Al-Zuhairy, Mohamed Fathi Mohamed Elrefai, Ahmed Mohsen Elsaid Hamdan, Mohamed Mansour Khalifa, Sandra Hababeh, Mohammad Ahmad Khasawneh, Gehad M Khamis, Jakline Nelson, Passant M Mohie, Rania A Gad, Amira Rizk, Soad L Kabil, Mohamed Kandeel El-Ashery, Bhaskara R Jasti, Nahla A Elzohairy, Tayseer Elnawawy, Fatma E Hassan, Mohamed A El-Nabarawi
Green Synthesis Of Zinc Oxide Nanoparticles From Althaea Officinalis Flower Extract Coated With Chitosan For Potential Healing Effects On Diabetic Wounds By Inhibiting Tnf-Α And Il-6/Il-1Β Signaling Pathways, Sammar Fathy Elhabal, Nashwa Abdelaal, Saeed Abdul Kareem Saeed Al-Zuhairy, Mohamed Fathi Mohamed Elrefai, Ahmed Mohsen Elsaid Hamdan, Mohamed Mansour Khalifa, Sandra Hababeh, Mohammad Ahmad Khasawneh, Gehad M Khamis, Jakline Nelson, Passant M Mohie, Rania A Gad, Amira Rizk, Soad L Kabil, Mohamed Kandeel El-Ashery, Bhaskara R Jasti, Nahla A Elzohairy, Tayseer Elnawawy, Fatma E Hassan, Mohamed A El-Nabarawi
Faculty, Staff and Students Publications
BACKGROUND: Diabetes Mellitus is a multisystem chronic pandemic, wound inflammation, and healing are still major issues for diabetic patients who may suffer from ulcers, gangrene, and other wounds from uncontrolled chronic hyperglycemia.
METHOD AND RESULTS: First, develop eco-friendly green Zinc Oxide Nanoparticles (ZnO-NPs) and incorporate them into a 2% chitosan (CS) gel. In-vitro study performed by UV-visible spectrum analysis showed a sharp peak at 390 nm, and Energy-dispersive X-ray (EDX) spectrometry showed a peak of zinc and oxygen. Besides, Fourier transforms infrared (FTIR) was used to qualitatively validate biosynthesized ZnO-NPs, and transmission electron microscope (TEM) showed spherical nanoparticles with mean …
Targeting Sars-Cov-2 Nonstructural Protein 3: Function, Structure, Inhibition, And Perspective In Drug Discovery, Xin Li, Yongcheng Song
Targeting Sars-Cov-2 Nonstructural Protein 3: Function, Structure, Inhibition, And Perspective In Drug Discovery, Xin Li, Yongcheng Song
Faculty, Staff and Students Publications
As a highly contagious human pathogen, severe acute respiratory syndrome-associated coronavirus-2 (SARS-CoV-2) has infected billions of people worldwide with more than 6 million deaths. With several effective vaccines and antiviral drugs now available, the SARS-CoV-2 pandemic been brought under control. However, a new pathogenic coronavirus could emerge in the future, given the zoonotic nature of this virus. Natural evolution and drug-induced mutations of SARS-CoV-2 also require continued efforts for new anti-coronavirus drugs. Nonstructural protein (nsp) 3 of CoVs is a large, multifunctional protein, containing a papain-like protease (PLpro) and a macrodomain (Mac1), which are essential for viral replication. Here, we …
A Comprehensive Study Of The Literature On The Implications Of Covid-19 Epidemic On Pupils' Academic Performance In The Educational System, Md Sarfaraz Alam, Milap Sharma, Waseem Ahmad, Zulquernain Mallick
A Comprehensive Study Of The Literature On The Implications Of Covid-19 Epidemic On Pupils' Academic Performance In The Educational System, Md Sarfaraz Alam, Milap Sharma, Waseem Ahmad, Zulquernain Mallick
Health Professions Education
BACKGROUND: The COVID-19 epidemic negatively affected every aspect of society on a global scale, including the economy, healthcare, and education. This affected "1.6 billion" students and "63 million" teachers globally, as "191 countries" closed schools nationwide.
PURPOSE: The purpose of this study is to review the state-of-the-art and emerging trends in the field of COVID-19 and student academic performance (SAP).
METHODS: A comprehensive analysis considering various factors has been utilized to evaluate the current level of research on COVID-19 and the SAP. In this study, “content analysis” approach was used for a “systematic literature review (SLR)” on …
Improving Medical Education Of Risks Of Ai Use In Healthcare, Stephanie Quon, Catherine Ha
Improving Medical Education Of Risks Of Ai Use In Healthcare, Stephanie Quon, Catherine Ha
Health Professions Education
Artificial intelligence (AI) offers transformative potential in healthcare, enhancing drug discovery, data processing, early detection, and clinical decision-making. However, its adoption poses significant risks, including client harm, misuse, automation bias, perpetuation of inequities, and security issues. Effective integration requires ongoing collaboration among healthcare professionals, developers, policymakers, and ethicists to ensure accountability and transparency. As AI becomes more prevalent, medical education must evolve to equip students with a deep understanding of AI technology, risk assessment, and mitigation strategies. Currently, medical curricula fall short in this area, necessitating educational reforms. We propose diverse and comprehensive teaching methods, including case studies, interdisciplinary projects, …
Researching Covid To Enhance Recovery (Recover) Pediatric Study Protocol: Rationale, Objectives And Design, Rachel S Gross, Tanayott Thaweethai, Erika B Rosenzweig, James Chan, Lori B Chibnik, Mine S Cicek, Amy J Elliott, Valerie J Flaherman, Andrea S Foulkes, Margot Gage Witvliet, Richard Gallagher, Maria Laura Gennaro, Terry L Jernigan, Elizabeth W Karlson, Stuart D Katz, Patricia A Kinser, Lawrence C Kleinman, Michelle F Lamendola-Essel, Joshua D Milner, Sindhu Mohandas, Praveen C Mudumbi, Jane W Newburger, Kyung E Rhee, Amy L Salisbury, Jessica N Snowden, Cheryl R Stein, Melissa S Stockwell, Kelan G Tantisira, Moriah E Thomason, Dongngan T Truong, David Warburton, John C Wood, Shifa Ahmed, Almary Akerlundh, Akram N Alshawabkeh, Brett R Anderson, Judy L Aschner, Andrew M Atz, Robin L Aupperle, Fiona C Baker, Venkataraman Balaraman, Dithi Banerjee, Deanna M Barch, Arielle Baskin-Sommers, Sultana Bhuiyan, Marie-Abele C Bind, Amanda L Bogie, Tamara Bradford, Natalie C Buchbinder, Elliott Bueler, Hülya Bükülmez, B J Casey, Linda Chang, Maryanne Chrisant, Duncan B Clark, Rebecca G Clifton, Katharine N Clouser, Lesley Cottrell, Kelly Cowan, Viren D'Sa, Mirella Dapretto, Soham Dasgupta, Walter Dehority, Audrey Dionne, Kirsten B Dummer, Matthew D Elias, Shari Esquenazi-Karonika, Danielle N Evans, E Vincent S Faustino, Alexander G Fiks, Daniel Forsha, John J Foxe, Naomi P Friedman, Greta Fry, Sunanda Gaur, Dylan G Gee, Kevin M Gray, Stephanie Handler, Ashraf S Harahsheh, Keren Hasbani, Andrew C Heath, Camden Hebson, Mary M Heitzeg, Christina M Hester, Sophia Hill, Laura Hobart-Porter, Travis K F Hong, Carol R Horowitz, Daniel S Hsia, Matthew Huentelman, Kathy D Hummel, Katherine Irby, Joanna Jacobus, Vanessa L Jacoby, Pei-Ni Jone, David C Kaelber, Tyler J Kasmarcak, Matthew J Kluko, Jessica S Kosut, Angela R Laird, Jeremy Landeo-Gutierrez, Sean M Lang, Christine L Larson, Peter Paul C Lim, Krista M Lisdahl, Brian W Mccrindle, Russell J Mcculloh, Kimberly Mchugh, Alan L Mendelsohn, Torri D Metz, Julie Miller, Elizabeth C Mitchell, Lerraughn M Morgan, Eva M Müller-Oehring, Erica R Nahin, Michael C Neale, Manette Ness-Cochinwala, Sheila M Nolan, Carlos R Oliveira, Onyekachukwu Osakwe, Matthew E Oster, R Mark Payne, Michael A Portman, Hengameh Raissy, Isabelle G Randall, Suchitra Rao, Harrison T Reeder, Johana M Rosas, Mark W Russell, Arash A Sabati, Yamuna Sanil, Alice I Sato, Michael S Schechter, Rangaraj Selvarangan, S Kristen Sexson Tejtel, Divya Shakti, Kavita Sharma, Lindsay M Squeglia, Shubika Srivastava, Michelle D Stevenson, Jacqueline Szmuszkovicz, Maria M Talavera-Barber, Ronald J Teufel, Deepika Thacker, Felicia Trachtenberg, Mmekom M Udosen, Megan R Warner, Sara E Watson, Alan Werzberger, Jordan C Weyer, Marion J Wood, H Shonna Yin, William T Zempsky, Emily Zimmerman, Benard P Dreyer, Recover-Pediatric Consortium
Researching Covid To Enhance Recovery (Recover) Pediatric Study Protocol: Rationale, Objectives And Design, Rachel S Gross, Tanayott Thaweethai, Erika B Rosenzweig, James Chan, Lori B Chibnik, Mine S Cicek, Amy J Elliott, Valerie J Flaherman, Andrea S Foulkes, Margot Gage Witvliet, Richard Gallagher, Maria Laura Gennaro, Terry L Jernigan, Elizabeth W Karlson, Stuart D Katz, Patricia A Kinser, Lawrence C Kleinman, Michelle F Lamendola-Essel, Joshua D Milner, Sindhu Mohandas, Praveen C Mudumbi, Jane W Newburger, Kyung E Rhee, Amy L Salisbury, Jessica N Snowden, Cheryl R Stein, Melissa S Stockwell, Kelan G Tantisira, Moriah E Thomason, Dongngan T Truong, David Warburton, John C Wood, Shifa Ahmed, Almary Akerlundh, Akram N Alshawabkeh, Brett R Anderson, Judy L Aschner, Andrew M Atz, Robin L Aupperle, Fiona C Baker, Venkataraman Balaraman, Dithi Banerjee, Deanna M Barch, Arielle Baskin-Sommers, Sultana Bhuiyan, Marie-Abele C Bind, Amanda L Bogie, Tamara Bradford, Natalie C Buchbinder, Elliott Bueler, Hülya Bükülmez, B J Casey, Linda Chang, Maryanne Chrisant, Duncan B Clark, Rebecca G Clifton, Katharine N Clouser, Lesley Cottrell, Kelly Cowan, Viren D'Sa, Mirella Dapretto, Soham Dasgupta, Walter Dehority, Audrey Dionne, Kirsten B Dummer, Matthew D Elias, Shari Esquenazi-Karonika, Danielle N Evans, E Vincent S Faustino, Alexander G Fiks, Daniel Forsha, John J Foxe, Naomi P Friedman, Greta Fry, Sunanda Gaur, Dylan G Gee, Kevin M Gray, Stephanie Handler, Ashraf S Harahsheh, Keren Hasbani, Andrew C Heath, Camden Hebson, Mary M Heitzeg, Christina M Hester, Sophia Hill, Laura Hobart-Porter, Travis K F Hong, Carol R Horowitz, Daniel S Hsia, Matthew Huentelman, Kathy D Hummel, Katherine Irby, Joanna Jacobus, Vanessa L Jacoby, Pei-Ni Jone, David C Kaelber, Tyler J Kasmarcak, Matthew J Kluko, Jessica S Kosut, Angela R Laird, Jeremy Landeo-Gutierrez, Sean M Lang, Christine L Larson, Peter Paul C Lim, Krista M Lisdahl, Brian W Mccrindle, Russell J Mcculloh, Kimberly Mchugh, Alan L Mendelsohn, Torri D Metz, Julie Miller, Elizabeth C Mitchell, Lerraughn M Morgan, Eva M Müller-Oehring, Erica R Nahin, Michael C Neale, Manette Ness-Cochinwala, Sheila M Nolan, Carlos R Oliveira, Onyekachukwu Osakwe, Matthew E Oster, R Mark Payne, Michael A Portman, Hengameh Raissy, Isabelle G Randall, Suchitra Rao, Harrison T Reeder, Johana M Rosas, Mark W Russell, Arash A Sabati, Yamuna Sanil, Alice I Sato, Michael S Schechter, Rangaraj Selvarangan, S Kristen Sexson Tejtel, Divya Shakti, Kavita Sharma, Lindsay M Squeglia, Shubika Srivastava, Michelle D Stevenson, Jacqueline Szmuszkovicz, Maria M Talavera-Barber, Ronald J Teufel, Deepika Thacker, Felicia Trachtenberg, Mmekom M Udosen, Megan R Warner, Sara E Watson, Alan Werzberger, Jordan C Weyer, Marion J Wood, H Shonna Yin, William T Zempsky, Emily Zimmerman, Benard P Dreyer, Recover-Pediatric Consortium
Faculty, Staff and Students Publications
IMPORTANCE: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or "Long COVID") in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults.
OBSERVATIONS: We describe the protocol for the Pediatric Observational Cohort Study of the NIH's REsearching COVID to Enhance Recovery (RECOVER) Initiative. RECOVER-Pediatrics is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US. This report focuses on two of …
Multi-Magnetic Material Transcranial Magnetic Stimulation Coils Development And Electric Field Measurement & Modeling Using Machine Learning, Mohannad Tashli
Multi-Magnetic Material Transcranial Magnetic Stimulation Coils Development And Electric Field Measurement & Modeling Using Machine Learning, Mohannad Tashli
Theses and Dissertations
Transcranial Magnetic Stimulation (TMS) is a safe, effective, and non-invasive therapy for treating several psychiatric and neurological disorders. TMS is Food and Drug Administration (FDA) approved treatment and is commonly applied to patients who do not respond to medications for the treatment of clinical depression, smoking cessation, obsessive-compulsive disorder and migraine. Recently, there has been an increase in the development of electromagnetic neuromodulation techniques targeted at enhancing the effectiveness of TMS devices for the treatment of mental diseases. In TMS stimulation, focality is an important factor which determines the specificity of the pulses induced in different brain tissues. The electromagnetic …
Facilitative And Competitive Interactions Among Dune Grass Species In Monoculture And Polyculture Communities, Anne M. Sciolino
Facilitative And Competitive Interactions Among Dune Grass Species In Monoculture And Polyculture Communities, Anne M. Sciolino
Theses and Dissertations
Coastal dunes are natural barriers between land and sea and are imperative to the protection and preservation of inland ecosystems and human infrastructure. However, due to global warming, seal level rise, and coastal development, coastal dunes are under constant threat of destruction. Restoration efforts have been implemented to rebuild the protective function of dunes through the planting of dune building grasses. Dune grasses build and maintain these vital sand dunes. However, little is known about facilitative and competitive relationships among the grasses. In order to maximize restoration efforts, research is needed to better understand the biotic interactions among restorative grass …
External Runtime Execution Monitoring Of A Cyber Physical System Via Trace Interfaces, Peter Vaughan Truslow
External Runtime Execution Monitoring Of A Cyber Physical System Via Trace Interfaces, Peter Vaughan Truslow
Theses and Dissertations
In the past two decades, Unmanned Aerial Systems have progressed from expensive military hardware or one-off custom builds, to include off-the-shelf drones that can be purchased for a rather affordable price and flown by nearly anyone. As the technology and performance have improved, the door is opened to applications that require operation in environments where the consequences for failure are high, such as operating in the navigable airspace or in urban environments, or with human passengers. This requires a great deal of trust in the reliability and integrity of the control systems of the aircraft. A method of monitoring the …
Cellular Metabolism Is A Viable Therapeutic Target For Radiation-Induced Pulmonary Fibrosis, Josly Pierre-Louis Odoom
Cellular Metabolism Is A Viable Therapeutic Target For Radiation-Induced Pulmonary Fibrosis, Josly Pierre-Louis Odoom
Theses and Dissertations
Herein, we provide evidence for cellular metabolic reprogramming as a driver of radiation-induced pulmonary fibrosis (RIPF). We are the first to identify a distinct metabolic signature for RIPF in a cohort of patients with radiographic sequela. We also used a RIPF mouse model to detect the metabolic pathways that enrich during pathogenesis. Our previous work highlighted the importance of lactate, a derivative of the glycolysis end-product pyruvate. Consequently, we took a special interest in the effects of radiation on the glycolysis pathway. We learned that radiation accelerates and reprograms glycolysis to an anabolic state in a pyruvate kinase M2 (PKM2)-dependent …
Evaluation Of Alternative Methods For Dna Recovery Of Compromised Skeletal Remains, Ciara N. Rhodes
Evaluation Of Alternative Methods For Dna Recovery Of Compromised Skeletal Remains, Ciara N. Rhodes
Theses and Dissertations
Skeletal remains frequently serve as the sole source of genetic material available for developing a profile in cases concerning unidentified human remains or mass casualties. Nevertheless, as unidentified skeletal remains age and are exposed to uncontrolled environmental conditions, the success rates of conventional methods of bone analysis diminish significantly. The physical and mechanical processing of skeletal remains into fine powder for DNA isolation and downstream analysis can substantially impact the quality and quantity of recoverable genetic information. This concern may be exacerbated when dealing with degraded forensic skeletal remains. Few studies have explored whether pulverization of bone samples contributes to …
Characterization Of The Kansas River Alluvial Aquifer Using Towed Transient Electromagnetic Geophysical Method, Jonathon Daniel Voss
Characterization Of The Kansas River Alluvial Aquifer Using Towed Transient Electromagnetic Geophysical Method, Jonathon Daniel Voss
Masters Theses
"Forecasted urban development areas west of Kansas City, Kansas in the coming decades has caused an increase of research into water resources (Butler et al. 2022). A location of investigation has been the Kansas River Alluvial Aquifer (KRAA) for shallow ground water resources. To investigate the KRAA structure and grain texture, the towed transient electromagnetic system (tTEM) in conjunction with direct push electrical conductivity logs and lithology wells were used to investigate four locations between Lawrence and Manhattan, Kansas. In total, 110 line-kilometers of tTEM data was collected. The tTEM data collected were high quality and through inversions of the …
Simulation Of Lc Circuits In Cylindrical Photoemission Driven Cavities Using Coupled Monte Carlo And Particle-In-Cell Codes, Ravi Sanjay Shastri
Simulation Of Lc Circuits In Cylindrical Photoemission Driven Cavities Using Coupled Monte Carlo And Particle-In-Cell Codes, Ravi Sanjay Shastri
Masters Theses
"This work presents a computational experiment simulating irradiation of gold in a cylindrical cavity. The full 3-D simulation with a B-Dot diagnostic is modeled, and a subset of the results are compared to modeling the system as a coupled anode/cathode (AK) gap and transmission line. The cavity is filled with N2 and Ne gasses at pressures ranging from vacuum to 1000 mTorr. Space-charge limited emission physics, electric discharge physics, LC circuit physics, and Monte-Carlo methods are explored.
The computation process happens in two steps. First, the electron emission material is irradiated with an input x-ray photon spectrum to produce a …
A Binary Integer Linear Programming Model For Optimizing Underground Stope Layout, Theophilus Mensah
A Binary Integer Linear Programming Model For Optimizing Underground Stope Layout, Theophilus Mensah
Masters Theses
"Underground mine planning engineers face significant challenges when determining what geometry provides the most profitable and safe stope for extraction. Several techniques and optimization algorithms have been developed in recent years, but most fail to find optimal solutions because they are heuristic or LP-based without efficient geometric constraints. This thesis work proposes a two-dimensional binary linear programming (BILP) model for determining the optimal combination of blocks in a stope that maximizes the economic value of the layout of stopes for a sublevel deposit. The work draws from Queyranne and Wolsey’s (2017 & 2018) formulations of tight constraints for bounded up/down …
Validation Of Athlet With Purdue University Multi-Dimensional Integral Test Assembly (Puma) Test, Emin Fatih Ozdem
Validation Of Athlet With Purdue University Multi-Dimensional Integral Test Assembly (Puma) Test, Emin Fatih Ozdem
Masters Theses
"Following the Three Mile Island Unit 2 (TMI-2) disaster, the development of a diagnostic system for emergency situations in a nuclear power plant was identified as an essential research area to strengthen the safety of nuclear power plants. A real-time estimation system of vital safety parameters on the main side of a PWR (Pressurized Water Reactor) facility was investigated since precise post-event scenario estimations are thought to be a crucial component of the diagnostic system. The alarm system of the plant can detect an SB-LOCA (Small Break Loss-Of-Coolant-Accident), but there were a couple of potential long-term transient occurrences. The accident …
The Deep Bsde Method, Daniel Kovach
The Deep Bsde Method, Daniel Kovach
Masters Theses
"The curse of dimensionality is the non-linear growth in computing time as the dimension of a problem increases. Using the Deep Backwards Stochastic Differential Equation (Deep BSDE) method developed in [HJE18], I approximate the solution at an initial time to a one-dimensional diffusion equation. Although we only approximate a one-dimensional equation, this method extends well to higher dimensions because it overcomes the curse of dimensionality by evaluating the given partial differential equation along "random characteristics''. In addition to the implementation, I also present most of the mathematical theory needed to understand this method"-- Abstract, p. iii
Hysplit In Simulating The Atmospheric Dispersion Of Hazardous Aerosols: A Case Study In St. Louis, Missouri, Ahmet Tolga Odabasi
Hysplit In Simulating The Atmospheric Dispersion Of Hazardous Aerosols: A Case Study In St. Louis, Missouri, Ahmet Tolga Odabasi
Masters Theses
"Atmospheric dispersion and transmission play an important role in the behavior and effects of air pollution. Human health can be adversely affected by air pollution in a variety of ways, both immediately and over time. The Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) modeling program, a computer model and software package, tracks the transport trajectories and distributions of air pollution and various pollutants, including radioactive pollutants, in the atmosphere. It also facilitates research on pollution sources. This study simulated the transport of hazardous aerosols in St. Louis region for the years 2020, 2021, and 2022 using the HYSPLIT modeling …
High Strain Rate Analysis Of 3d Printed Concrete As Compared To Conventionally Cast Concrete, Weston Mcleod Thomsen
High Strain Rate Analysis Of 3d Printed Concrete As Compared To Conventionally Cast Concrete, Weston Mcleod Thomsen
Masters Theses
"3D Printed Concrete (3DPC) is a developing method of construction that has advantages over conventional methods, including formwork reduction, complex geometry, and expedited construction. This technology has potential benefits for the military when considering the austere environments that forward operating bases are built in. This study aims to assess 3DPC applications in protective structures that protect critical assets from explosive blasts. These protective structures experience a high-strain rate response during blast loading of the structure, and the effects of this have yet to be analyzed in the literature concerning 3DPC. With the lack of prior research, the focus here will …
Open-Ended Hollow Coaxial Cable Resonance Sensing Via Permittivity Fluctuations For Applications To Exhaled Breath Health Monitoring, Peter Henry Holtmann
Open-Ended Hollow Coaxial Cable Resonance Sensing Via Permittivity Fluctuations For Applications To Exhaled Breath Health Monitoring, Peter Henry Holtmann
Masters Theses
"We report a pre-diagnostics breath analyzer based on the open-ended hollow coaxial cable resonator (OE-HCCR) to achieve real-time differentiation of healthy and compromised lung function through electromagnetic analysis of exhaled breath matter. A two-phase amplification scheme of electromagnetic signatures metered via the S11 phase curve offers high sensitivity to permittivity fluctuations in exposed airflow. The mathematical model of the breath analyzer is explained, followed by experimental validation of numerical findings from previous work. The collection of breath transient signals is performed through monitoring the reflected power magnitude and phase of the scattering parameter (S11) at the resonance frequency. Material fluctuations …
Investigation Of The Relationships Between Hydraulic, Physical, And Biological Soil Parameters At A Vineyard In Saint James, Missouri, Lyndsey Bennett
Investigation Of The Relationships Between Hydraulic, Physical, And Biological Soil Parameters At A Vineyard In Saint James, Missouri, Lyndsey Bennett
Masters Theses
"Soil is a living, dynamic system that performs vital functions such as crop production, organic matter decomposition, and the flow and transport of water. Given the pressures of food and in some locales water security, climate change, and sustainability, farmers, scientists, and other related specialists and stakeholders must have access to understandable soil health indicators as well as the soil hydraulic function parameters to maximize crop growth while maintaining soil health. Although biological and physical soil parameters are different, we aim to evaluate their relationship at the field scale. Hydraulic conductivity in the vadose zone may be especially important, as …
Production Of Glass-To-Metal Seals Using Additive Manufacturing Techniques, Aaron Read
Production Of Glass-To-Metal Seals Using Additive Manufacturing Techniques, Aaron Read
Masters Theses
"Glass-to-metal (GtM) seals are hermetic barriers between glass and metal components, often used in the electronic and vacuum industries. Creating the seals traditionally requires heating all the components to the glass melting temperature, where the glass will flow and bond to the metal. Due to the manufacturing constraints of the individual components and sealing conditions there are geometric and material restrictions. Additive manufacturing techniques were used to make GtM seals to reduce these restrictions.
Hermetic, single pin seals were produced using printed metal shells, by selective laser melting (SLM), and digital light processing (DLP) printed glass preforms. Glass preforms were …
Low Finesse Extrinsic Fabry-Perot Interferometer (Efpi) Demodulation For High Temperature Gap Measurements, Abhishek Prakash Hungund
Low Finesse Extrinsic Fabry-Perot Interferometer (Efpi) Demodulation For High Temperature Gap Measurements, Abhishek Prakash Hungund
Masters Theses
"In continuous casting steel industries, mold flux is added to provide thermal and chemical insulation for molten steel. The mold flux absorbs detrimental inclusions from the steel and promotes uniform heat distribution to prevent sticking. To promote flux infiltration, mold oscillation is used, but this creates oscillation marks that reduce local shell growth and increase temperatures. Wide (2-3 mm) and deep (0.5-0.9 mm) oscillation marks with areas of 1.1-2.5 mm² are observed, affecting the steel quality, which results in a loss of 6% per billet to the industry. To address this challenge, we propose an extrinsic Fabry-Perot interferometer (EFPI) sensor …
High-Pressure Infiltration Process For Additively Manufactured Ceramic Matrix Composites, Samuel Weiler
High-Pressure Infiltration Process For Additively Manufactured Ceramic Matrix Composites, Samuel Weiler
Masters Theses
"Ceramic matrix composites were developed in order to increase the fracture toughness, thermal shock resistance, and elongation of ceramic materials, while maintaining the very high temperature capabilities of these materials. A renewed focus has been placed on ceramic matrix composites due to the need for materials that maintain good mechanical strength at very high temperatures, for use in the extreme environments encountered by hypersonic vehicles, jet turbine blades, and the like. However, conventional methods to manufacture CMCs are costly and time consuming. The aim of this work is to develop a method for creating additively manufactured ceramic matrix composites using …
The Geodetic Strain Rates From Gnss In The North American-Carribean-Cocos Triple Junction In Guatemala And Implications For Seismic Hazard, Tanaya Kashyap
The Geodetic Strain Rates From Gnss In The North American-Carribean-Cocos Triple Junction In Guatemala And Implications For Seismic Hazard, Tanaya Kashyap
Masters Theses
"Geodetic velocity data are pivotal for deciphering seismic risks, providing initial constraints for crustal surface strain rates. Gaining an understanding of the 2D surface strain tensor across an entire area necessitates knowledge of the surface velocity field, yet geodetic data such as measurements from the Global Navigation Satellite System (GNSS) are dispersed across the Earth’s surface. In the current scope of study, we have employed various methodologies to estimate strain rates in Guatemala, utilizing GNSS velocity data and leveraging the open-source Python tool Strain_2D. Strain_2D facilitates the computation of strain rates through diverse methods applied to the same dataset and …
Processing & Properties Of Zirconium Carbide Manufactured By Ceramic On-Demand Extrusion, Clare Sabata
Processing & Properties Of Zirconium Carbide Manufactured By Ceramic On-Demand Extrusion, Clare Sabata
Masters Theses
"This research focuses on the development of a zirconium carbide (ZrC) paste for use in material extrusion direct ink write additive manufacturing (AM) followed by the pressure less densification of ZrC and the mechanical and thermal characterization of the resulting ceramics. A highly loaded, aqueous paste was developed using commercial ZrC powder ball milled to ~1 μm. Optimal dispersant, binder, and solids loading were found by rheological characterization. The paste composition consisted of 46-47 vol% ZrC, 43.5 vol% distilled water, 8.1 vol% dispersant, and 1.6 vol% binder. A yield stress of ~8 Pa allowed for shape retention upon removal of …
Investigating Accident-Tolerant Cladding In A Molten Salt-Cooled Micro-Reactor Using Multi-Physics Analysis And Uncertainty Quantification, Alexander Niles Foutch
Investigating Accident-Tolerant Cladding In A Molten Salt-Cooled Micro-Reactor Using Multi-Physics Analysis And Uncertainty Quantification, Alexander Niles Foutch
Masters Theses
"Renewed interest in nuclear safety has resulted in development of accident-tolerant materials, such as cladding. Although developed for light water reactors, their use in more advanced reactors would save time and development costs for other new materials. This paper performed a Multiphysics investigation into the power profile, thermodynamics, heat transfer, and tensor mechanics of four candidate materials (Haynes 230, Zircaloy-4, FeCrAl, and SiC-SiC), using the highly benchmarked Kilo power design as an example of a high-temperature, highly enriched, sodium-cooled microreactor environment.
From neutronic code MCNP, no significant difference in power profile was found among the four. Using finite element software …
Development Of A Particulate Matter Sensor Network For Air Quality Monitoring In Indoor Settings And In Mines, Abdulrahman Bani
Development Of A Particulate Matter Sensor Network For Air Quality Monitoring In Indoor Settings And In Mines, Abdulrahman Bani
Masters Theses
"The importance of indoor air quality (IAQ), especially concerning particulate matter (PM), has become increasingly recognized due to its substantial impact on public health. Individuals spend a significant portion of their time indoors, where PM concentrations can exceed that of outdoors, leading to potential adverse health effects ranging from immediate irritation to long-term respiratory and cardiovascular diseases. The dynamic nature of indoor environments, combined with the diversity of PM sources, presents considerable challenges for effective IAQ monitoring and management. Traditional approaches to IAQ assessment often fall short, lacking the granularity and immediacy required to address these challenges adequately.
This abstract …
Ontogenetically Driven Changes In The Endocranial Anatomy Of Maiasaura Peeblesorum And Its Implications For Sensory Functions, Emma Puetz
Masters Theses
"Hadrosaurids exhibited extreme morphological diversity and behavioral characteristics that can be compared with other, closely related members of Dinosauria – particularly through the study of neuroanatomy. X-ray CT generated endocrania of the Late Cretaceous saurolophine hadrosaur Maiasaura peeblesorum, known as the “good mother” dinosaur, offers a unique opportunity to compare complex ecological behaviors between non-avian dinosaurs and their modern archosaur relatives. The 3D reconstruction software ORS Dragonfly provided linear and volumetric measurements taken from the digital cranial endocast and endosseous labyrinths of three ontogenetically varied M. peeblesorum specimens from the Two Medicine Formation in Montana that were used to …
Learn From The Past: Using Peer Data To Improve Course Recommendations In Personalized Education, Colton Walker
Learn From The Past: Using Peer Data To Improve Course Recommendations In Personalized Education, Colton Walker
Masters Theses
"This work describes a recommendation approach designed to enhance student success by identifying semester schedules and graduation paths. The primary objective is to provide personalized graduation path recommendations rooted in individual student performance and draw insights from the academic journeys of similar students who successfully graduated. The original research contribution of this work lies in the development of a graduation path recommender system that leverages a combination of Markov Decision Process, Q-Learning, and collaborative filtering techniques to pinpoint graduation paths with a higher likelihood of leading students to success based on their academic progress thus far. The effectiveness of the …
Computational Fluid Dynamics Analysis Of Thermal-Hydraulic Phenomena In Nuclear Reactor Systems, Mehedi Hasan Tusar
Computational Fluid Dynamics Analysis Of Thermal-Hydraulic Phenomena In Nuclear Reactor Systems, Mehedi Hasan Tusar
Masters Theses
"A computational analysis of thermal-hydraulic processes in nuclear reactor systems is performed, leveraging Computational Fluid Dynamics (CFD) to advance the design and ensure the safety of nuclear reactors. Divided into two primary sections, the initial part examines thermal-hydraulic behavior in the Replacement Research Reactor (RRR) operating at 20 megawatts and evaluates potential enhancements for the Missouri University of Science and Technology Reactor (MSTR) to operate at an increased capacity of 2 megawatts from the existing 0.2 megawatts. Detailed simulations reveal insights into flow characteristics, temperature distributions, and pressure drops, highlighting the effective use of realistic and porous media modeling techniques …
Sub-Critical Crack Growth And Fatigue Behaviour Of Alkali Silicate Glass, Noah Weyrauch
Sub-Critical Crack Growth And Fatigue Behaviour Of Alkali Silicate Glass, Noah Weyrauch
Masters Theses
"Delayed failure in silicate glasses can be linked to subcritical crack growth (SCCG) where surface defects grow over time until catastrophic failure. This phenomenon originates from stress-enhanced chemical interactions between the environment (e.g. water) and the strained silicate bonds at the crack tip. SCCG must be accounted for to predict the long-term survivability of silicate-glass components. This study compares two methods to measure SCCG parameters for a commercial alkali silicate sealing glass and for a series of binary xNa2O-(1-x)SiO2 glasses, where 0.15 ≤ x ≤ 0.35. A constant moment double cantilever beam (DCB) technique was used to …