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An Examination Of Γ-Valerolactone Ring Opening And Decarboxylation In Multiphase System And Over Various Solid Acid Catalysts, Xinlei Huang May 2021

An Examination Of Γ-Valerolactone Ring Opening And Decarboxylation In Multiphase System And Over Various Solid Acid Catalysts, Xinlei Huang

Dissertations - ALL

Lignocellulosic biomass is an alternative carbon source for industrial applications. γ-valerolactone (GVL) is an example of biomass-derived platform chemicals that provides multiple commercial potentials. Of interest here is the acid-catalyzed ring opening of GVL to form pentenoic acid (PEA) isomers and following decarboxylation to produce butenes. In this study, GVL ring opening, and decarboxylation are examined in both liquid and gas phases over various catalytic systems aiming at improving the efficiency in selective preparation of target product. An initial attempt was made in a biphasic reactor to improve the yield to PEA catalyzed by mineral acids (H2SO4). A wide range …

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Computational Algorithms For Predicting Membrane Protein Assembly From Angstrom To Micron Scale, Nandhini Rajagopal May 2021

Computational Algorithms For Predicting Membrane Protein Assembly From Angstrom To Micron Scale, Nandhini Rajagopal

Dissertations - ALL

Biological barriers in the human body are one of the most crucial interfaces perfected through evolution for diverse and unique functions. Of the wide range of barriers, the paracellular protein interfaces of epithelial and endothelial cells called tight junctions with high molecular specificities are vital for homeostasis and to maintain proper health. While the breakdown of these barriers is associated with serious pathological consequences, their intact presence also poses a challenge to effective delivery of therapeutic drugs. Complimenting a rigorous combination of in vitro and in vivo approaches to establishing the fundamental biological construct, in addition to elucidating pathological implications …

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Multi-Label/Multi-Class Deep Learning Classification Of Spatiotemporal Data, Natalie Sommer May 2021

Multi-Label/Multi-Class Deep Learning Classification Of Spatiotemporal Data, Natalie Sommer

Dissertations - ALL

Human senses allow for the detection of simultaneous changes in our environments. An unobstructed field of view allows us to notice concurrent variations in different parts of what we are looking at. For example, when playing a video game, a player, oftentimes, needs to be aware of what is happening in the entire scene. Likewise, our hearing makes us aware of various simultaneous sounds occurring around us. Human perception can be affected by the cognitive ability of the brain and acuity of the senses. This is not a factor with machines. As long as a system is given a signal …

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On Stability And Similarity Of Network Embeddings, Apurva Shriniwas Mulay May 2021

On Stability And Similarity Of Network Embeddings, Apurva Shriniwas Mulay

Theses - ALL

Machine Learning on graphs has become an active research area due to the prevailing graph-structured data in the real world. Many real-world applications can be modeled with graphs. Modern application domains include web-scale social networks [26], recommender systems, knowledge graphs, and biological or protein networks. However, there are various challenges. First, the graphs generated from such applications are often large. Moreover, in some scenarios, the complete graph is not available, e.g., for privacy reasons. Thus, it becomes impractical to perform network analysis or compute various graph measures. Hence, graph sampling becomes an important task.Sampling is often the first step to …

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Inference And Learning In Spiking Neural Networks For Neuromorphic Systems, Amar Shrestha May 2021

Inference And Learning In Spiking Neural Networks For Neuromorphic Systems, Amar Shrestha

Dissertations - ALL

Neuromorphic computing is a computing field that takes inspiration from the biological and physical characteristics of the neocortex system to motivate a new paradigm of highly parallel and distributed computing to take on the demands of the ever-increasing scale and computational complexity of machine intelligence esp. in energy-limited systems such as Edge devices, Internet-of-Things (IOT), and cyber physical systems (CPS). Spiking neural network (SNN) is often studied together with neuromorphic computing as the underlying computational model . Similar to the biological neural system, SNN is an inherently dynamic and stateful network. The state and output of SNN do not only …

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Seasonal Dynamics In Fish Distribution And Abundance Revealed By An Acoustic Survey In Coastal Waters Of The Suzu Area, Kochi Prefecture, Japan, Yanhui Zhu, Kenji Minami, Yuka Iwahara, Kentaro Oda, Koichi Hidaka, Osamu Hoson, Koji Morishita, Sentaro Tsuru, Masahito Hirota, Hokuto Shirakawa, Kazushi Miyashita May 2021

Seasonal Dynamics In Fish Distribution And Abundance Revealed By An Acoustic Survey In Coastal Waters Of The Suzu Area, Kochi Prefecture, Japan, Yanhui Zhu, Kenji Minami, Yuka Iwahara, Kentaro Oda, Koichi Hidaka, Osamu Hoson, Koji Morishita, Sentaro Tsuru, Masahito Hirota, Hokuto Shirakawa, Kazushi Miyashita

Journal of Marine Science and Technology–Taiwan

For Japan's fishery, it is essential to conduct sustainable and efficient fishery owing to the decline in fish catch as well as the fisher population. To obtain information that contributes to sustainable and efficient fishery, we researched appropriate set-net locations with regard to fish distribution, abundance, and environmental characteristics. We conducted surveys from 2017/5 to 2018/2 in the Suzu coastal area, Kochi Prefecture, where the only main industry is set-net fishery. We investigated the seasonal relationships between fish school characteristics, including distribution and size, and marine environmental conditions in the Suzu coastal area, using a quantitative echo sounder (KSE300 SONIC, …

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Development Of A Biomass Assessment Method Using Fisheries Echo Sounder For Monitoring Whitebait Fishery In Shizuoka Prefecture, Japan, Kenichi Kobayashi, Yanhui Zhu, Daichi Oshiyama, Kenji Minami, Hokuto Shirakawa, Kazushi Miyashita May 2021

Development Of A Biomass Assessment Method Using Fisheries Echo Sounder For Monitoring Whitebait Fishery In Shizuoka Prefecture, Japan, Kenichi Kobayashi, Yanhui Zhu, Daichi Oshiyama, Kenji Minami, Hokuto Shirakawa, Kazushi Miyashita

Journal of Marine Science and Technology–Taiwan

Coastal fisheries constitute the second most important sector in fishery production in Japan, following offshore fisheries. Thus, spatial evaluation of coastal fishing grounds and understanding of the changes in biomass are important for the sustainable use of fishing resources. For the assessment of spatial fish biomass, a quantitative echo sounder is used, but such a device is not mass produced and involves a high cost. In the present study, we examined the feasibility of biomass assessment using typical commercial fisheries echo sounders that are widely used and cheaper than quantitative echo sounders. Therefore, we aimed to verify the validity of …

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Predicting Tight Junction Formation Via Claudin Chimeras, Patrick Matthew Marsch May 2021

Predicting Tight Junction Formation Via Claudin Chimeras, Patrick Matthew Marsch

Theses - ALL

Tight junctions are vital to epithelial and endothelial barrier functions aiding in ion transport and preventing toxins from crossing into paracellular space. Claudins, made of four transmembrane helices and two extracellular loops, are a major part of the assembly of tight junctions along with other transmembrane proteins. The dimer interactions of two members of the 27-known members of the claudin family—claudin-2 and claudin-4—were analyzed. We created claudin chimera by switching claudin 2’s extracellular loops with claudin 4’s. The chimeras were analyzed using molecular dynamic simulations by comparing them to the natural claudins. This analysis provided new insight into the assembly …

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On Stability And Similarity Of Network Embeddings, Apurva Shriniwas Mulay May 2021

On Stability And Similarity Of Network Embeddings, Apurva Shriniwas Mulay

Theses - ALL

Machine Learning on graphs has become an active research area due to the prevailing graph-structured data in the real world. Many real-world applications can be modeled with graphs. Modern application domains include web-scale social networks [26], recommender systems, knowledge graphs, and biological or protein networks. However, there are various challenges. First, the graphs generated from such applications are often large. Moreover, in some scenarios, the complete graph is not available, e.g., for privacy reasons. Thus, it becomes impractical to perform network analysis or compute various graph measures. Hence, graph sampling becomes an important task.Sampling is often the first step to …

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Using An Integrative Machine Learning Approach To Study Microrna Regulation Networks In Pancreatic Cancer Progression, Roland Madadjim May 2021

Using An Integrative Machine Learning Approach To Study Microrna Regulation Networks In Pancreatic Cancer Progression, Roland Madadjim

School of Computing: Dissertations, Theses, and Student Research

With advances in genomic discovery tools, recent biomedical research has produced a massive amount of genomic data on post-transcriptional regulations related to various transcript factors, microRNAs, lncRNAs, epigenetic modifications, and genetic variations. In this direction, the field of gene regulation network inference is created and aims to understand the interactome regulations between these molecules (e.g., gene-gene, miRNA-gene) that take place to build models able to capture behavioral changes in biological systems. A question of interest arises in integrating such molecules to build a network while treating each specie in its uniqueness. Given the dynamic changes of interactome in chaotic systems …

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Blood-Material Interactions With Degradable Shape Memory Polymer Foams, Ellen Barlow Shepherd May 2021

Blood-Material Interactions With Degradable Shape Memory Polymer Foams, Ellen Barlow Shepherd

Theses - ALL

Shape memory polymer (SMP) foams are a class of smart materials that show promise for managing uncontrolled hemorrhage on the battlefield. The current standard treatments of gauze and tourniquets are not able to effectively control hemorrhage in up to 80% of combat injuries. Most hemostatic devices also require removal within 12 hours of application. Patient transportation to a facility for removal may not be possible within this time frame and the removal process itself can cause further damage to the wound. As an alternative hemostatic device, polyurethane SMP foams have shown to be effective and biocompatible hemostats; however, removal still …

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An Examination Of Γ-Valerolactone Ring Opening And Decarboxylation In Multiphase System And Over Various Solid Acid Catalysts, Xinlei Huang May 2021

An Examination Of Γ-Valerolactone Ring Opening And Decarboxylation In Multiphase System And Over Various Solid Acid Catalysts, Xinlei Huang

Dissertations - ALL

Lignocellulosic biomass is an alternative carbon source for industrial applications. γ-valerolactone (GVL) is an example of biomass-derived platform chemicals that provides multiple commercial potentials. Of interest here is the acid-catalyzed ring opening of GVL to form pentenoic acid (PEA) isomers and following decarboxylation to produce butenes. In this study, GVL ring opening, and decarboxylation are examined in both liquid and gas phases over various catalytic systems aiming at improving the efficiency in selective preparation of target product. An initial attempt was made in a biphasic reactor to improve the yield to PEA catalyzed by mineral acids (H2SO4). A wide range …

Go to article

Inference And Learning In Spiking Neural Networks For Neuromorphic Systems, Amar Shrestha May 2021

Inference And Learning In Spiking Neural Networks For Neuromorphic Systems, Amar Shrestha

Dissertations - ALL

Neuromorphic computing is a computing field that takes inspiration from the biological and physical characteristics of the neocortex system to motivate a new paradigm of highly parallel and distributed computing to take on the demands of the ever-increasing scale and computational complexity of machine intelligence esp. in energy-limited systems such as Edge devices, Internet-of-Things (IOT), and cyber physical systems (CPS). Spiking neural network (SNN) is often studied together with neuromorphic computing as the underlying computational model . Similar to the biological neural system, SNN is an inherently dynamic and stateful network. The state and output of SNN do not only …

Go to article

Multi-Label/Multi-Class Deep Learning Classification Of Spatiotemporal Data, Natalie Sommer May 2021

Multi-Label/Multi-Class Deep Learning Classification Of Spatiotemporal Data, Natalie Sommer

Dissertations - ALL

Human senses allow for the detection of simultaneous changes in our environments. An unobstructed field of view allows us to notice concurrent variations in different parts of what we are looking at. For example, when playing a video game, a player, oftentimes, needs to be aware of what is happening in the entire scene. Likewise, our hearing makes us aware of various simultaneous sounds occurring around us. Human perception can be affected by the cognitive ability of the brain and acuity of the senses. This is not a factor with machines. As long as a system is given a signal …

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Mindfulness Workshop For Airline Pilots, Eric Miller May 2021

Mindfulness Workshop For Airline Pilots, Eric Miller

Mindfulness Studies Theses

The science on mindfulness as it relates specifically to aviation is sparse. It has only been in recent years that mindfulness has been examined as it relates to aviation. That being the case, this paper draws connections from areas that are already well studied with mindfulness; stress, anxiety, attention, and communication. Evidence exists that even short duration mindfulness interventions can have positive effects on mindfulness. The one-day workshop created with this thesis gives pilots a cursory overview of mindfulness as it relates to various areas of commercial aviation. Furthermore, the workshop will teach pilots how these different mindfulness techniques can …

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Computational Algorithms For Predicting Membrane Protein Assembly From Angstrom To Micron Scale, Nandhini Rajagopal May 2021

Computational Algorithms For Predicting Membrane Protein Assembly From Angstrom To Micron Scale, Nandhini Rajagopal

Dissertations - ALL

Biological barriers in the human body are one of the most crucial interfaces perfected through evolution for diverse and unique functions. Of the wide range of barriers, the paracellular protein interfaces of epithelial and endothelial cells called tight junctions with high molecular specificities are vital for homeostasis and to maintain proper health. While the breakdown of these barriers is associated with serious pathological consequences, their intact presence also poses a challenge to effective delivery of therapeutic drugs. Complimenting a rigorous combination of in vitro and in vivo approaches to establishing the fundamental biological construct, in addition to elucidating pathological implications …

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Layered Bismuth Tungstate: Heterogeneous Photocatalysis For Environmental Remediation, Mirabbos Hojamberdiev, Zuhra Kadirova, Shahlo Daminova, Khasan Sharipov, Nobuhiro Matsushita May 2021

Layered Bismuth Tungstate: Heterogeneous Photocatalysis For Environmental Remediation, Mirabbos Hojamberdiev, Zuhra Kadirova, Shahlo Daminova, Khasan Sharipov, Nobuhiro Matsushita

CHEMISTRY AND CHEMICAL ENGINEERING

Air and water pollution has been one of the challenging environmental issues in modern society. Since the Honda-Fujishima effect was first reported in 1972, a semiconductor-based photocatalysis has been regarded as one of the most green and economical processes for potential application in environmental remediation. Bismuth-based semiconductors are regarded as a promising group of advanced photocatalytic materials due to their suitable band gap for visible light response, an increased mobility of photo-generated charge carriers because of well-dispersed Bi 6s orbital, non-toxicity, and easy tailoring of their morphologies. To utilize its full potential in environmental remediation, various studies have been carried …

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Acoustic Survey For Estimating Density Of Anchovy Schools In The South Sea Of Korea, Eunbi Min, Eun-A Yoon, Sung-Tae Kim, Seong Yong Moon, Hyun Woo Kim, Shelly Salim, Taejong Kang, Doo-Jin Hwang May 2021

Acoustic Survey For Estimating Density Of Anchovy Schools In The South Sea Of Korea, Eunbi Min, Eun-A Yoon, Sung-Tae Kim, Seong Yong Moon, Hyun Woo Kim, Shelly Salim, Taejong Kang, Doo-Jin Hwang

Journal of Marine Science and Technology–Taiwan

No abstract provided.

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Estimating The Sampling Efficiencies Of A Framed Midwater Trawl And Ring Net For Zooplankton Using An Acoustic Method, Zhen Lu, Tohru Mukai, Yasuzumi Fujimori, Kohji Iida May 2021

Estimating The Sampling Efficiencies Of A Framed Midwater Trawl And Ring Net For Zooplankton Using An Acoustic Method, Zhen Lu, Tohru Mukai, Yasuzumi Fujimori, Kohji Iida

Journal of Marine Science and Technology–Taiwan

It is well known that there is bias using different sampling gear, such as a framed midwater trawl (FMT) and a ring net, when measuring the density and length distribution of target species. This limit is characterized by the sampling efficiency of the gear. Acoustic monitoring can be used to determine the sampling efficiencies of this gear, as its noninvasive, wide-range sweeps provide more reliable estimates of absolute abundance of the target species. The density measured by the gear can then be standardized by multiplying the initial density measurement by the derived sampling efficiency. In this study, we compared the …

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In Situ Broadband Acoustic Measurements Of Age-0 Walleye Pollock And Pointhead Flounder In Funka Bay, Hokkaido, Japan, Kohei Hasegawa, Naizheng Yan, Tohru Mukai May 2021

In Situ Broadband Acoustic Measurements Of Age-0 Walleye Pollock And Pointhead Flounder In Funka Bay, Hokkaido, Japan, Kohei Hasegawa, Naizheng Yan, Tohru Mukai

Journal of Marine Science and Technology–Taiwan

Measurements of the broadband acoustic backscattering from fish should improve acoustic discrimination between species. The pulse compression processing of broadband systems can be used to measure acoustic backscattering with high range resolution and improve signal-to-noise ratio. This may increase opportunities for in situ target strength (TS) measurements, the preferred method of collecting TS data. To evaluate the availability of TS spectra for acoustic discrimination, three Simrad EK80 wideband transceivers and split-beam transducers of 70, 120, and 200 kHz were used to collect in situ frequency responses of TS from age-0 juvenile walleye pollock and pointhead flounder, a swimbladderless flat-fish, distributed …

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Volume Scattering And Echo Integration In Fisheries Acoustics Revisited, Masahiko Furusawa May 2021

Volume Scattering And Echo Integration In Fisheries Acoustics Revisited, Masahiko Furusawa

Journal of Marine Science and Technology–Taiwan

Echo integration is the most important method in fisheries acoustics. The basis of the method is volume scattering theory, and the theory assumes that many fish are randomly and homogeneously distributed broader than a beam spread. In actual acoustic surveys, however, we encounter various distributions for which these assumptions do not hold. It is the echo integration method that hypothetically fulfills these assumptions. In this paper, we review the volume scattering theory and the echo integration method historically and theoretically and confirm their bases. We then point out some misunderstandings affected by historical constraints such as the persistence of time …

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Synthetic Wastewater Treatment Using Agro-Based Adsorbents, Saisantosh Vamshi Harsha Madiraju, Yung-Tse Hung, Howard Paul May 2021

Synthetic Wastewater Treatment Using Agro-Based Adsorbents, Saisantosh Vamshi Harsha Madiraju, Yung-Tse Hung, Howard Paul

Civil and Environmental Engineering Faculty Publications

This study was undertaken to determine the treatment a binary mixture of dye wastewater (containing Naphthol Green B) and the sugar industry wastewater for removal of color. The specific treatment in the current research consists of adsorption using low-cost adsorbents and microfiltration using Whatman-41 microfilters. Considerations of this treatment process are to take the samples using batch adsorption and avoid coagulation with further dilution. Numerous runs are made, with the ideal waste samples prepared in the laboratory. As a 1st step in the study, different dye concentrations are considered using different concentrations of sugar wastewater. Samples are treated with 3 …

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Chitosan/Gelatin/Silver Nanoparticles Composites Films For Biodegradable Food Packaging Applications., Sreelekha Ediyilyam, Bini George, Sarojini Sharath Shankar, Thomas Thuruthiyil Dennis, Stanisław Wacławek, Miroslav Černík, Vinod V T Padil May 2021

Chitosan/Gelatin/Silver Nanoparticles Composites Films For Biodegradable Food Packaging Applications., Sreelekha Ediyilyam, Bini George, Sarojini Sharath Shankar, Thomas Thuruthiyil Dennis, Stanisław Wacławek, Miroslav Černík, Vinod V T Padil

Department of Medicine Faculty Papers

The food packaging industry explores economically viable, environmentally benign, and non-toxic packaging materials. Biopolymers, including chitosan (CH) and gelatin (GE), are considered a leading replacement for plastic packaging materials, with preferred packaging functionality and biodegradability. CH, GE, and different proportions of silver nanoparticles (AgNPs) are used to prepare novel packaging materials using a simple solution casting method. The functional and morphological characterization of the prepared films was carried out by using Fourier transform infrared spectroscopy (FTIR), UV-Visible spectroscopy, and scanning electron microscopy (SEM). The mechanical strength, solubility, water vapor transmission rate, swelling behavior, moisture retention capability, and biodegradability of composite …

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Optimizing Biomaterials For Ipsc-Derived Engineered Heart Tissue Models, Huanzhu Jiang May 2021

Optimizing Biomaterials For Ipsc-Derived Engineered Heart Tissue Models, Huanzhu Jiang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Hypertrophic Cardiomyopathy (HCM) is the most common inherited cardiovascular disease, where environmental forces and genetic mutations have been heavily linked to heart failure or sudden cardiac death in young people. However, how genetic mutations and environmental forces contribute to HCM phenotype are not well defined. To study the mechanisms and investigate the potential treatments of this disease, it is important to build a model to simulate mechanical loading and recreate micro-environment of cardiomyocytes. In vivo, surgical maneuvers like transaortic constriction allow the study of overload, but these approaches are low throughput and it is difficult to precisely control overload. …

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Injectable Ct/Mri Contrast Agent For Gastrointestinal Tumor Tracking, Luna Zhang May 2021

Injectable Ct/Mri Contrast Agent For Gastrointestinal Tumor Tracking, Luna Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Gastrointestinal cancers remain to be of the most common and deadly cancers worldwide. Early detection and treatments are crucial for reducing mortality and improving patient outcome. Radiation therapy is a non-invasive localized tumor treatment method, and utilizes radiation to kill the cancerous cells and shrink tumors at specific sites. Precise localization at the target tumor site is therefore important before radiation therapy, especially for gastrointestinal tumor sites located in the moving bowel. Currently, invasive endoscopies along with ink tattoos are used for identifying tumor location, which often require sedation and bring much discomfort. Imaging tests, including CT and MRI, play …

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Real-Time Monitoring Of Fdm 3d Printer For Fault Detection Using Machine Learning: A Bibliometric Study, Vaibhav Kisan Kadam, Satish Kumar, Arunkumar Bongale May 2021

Real-Time Monitoring Of Fdm 3d Printer For Fault Detection Using Machine Learning: A Bibliometric Study, Vaibhav Kisan Kadam, Satish Kumar, Arunkumar Bongale

Library Philosophy and Practice (e-journal)

Additive Manufacturing has wide application range including healthcare, Fashion, Manufacturing, Prototypes, Tooling etc. AM techniques are subjected to various defects that may be printing defects or anomalies in machine. There is gap between current AM techniques and smart manufacturing since current AM lacks in build sensors necessary for process monitoring and fault detection. Both of these issues can be solved by incorporating real-time monitoring into AM. So the study is carried out to identify recent work done in AM to improve current system. For this bibliometric study Scopus database is used, study is kept limited to year 2010-2021 and English …

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Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr. May 2021

Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr.

PRC-Affiliated Research

A mixture of polyvinyl alcohol (PVA) and hydroxylammoniun nitrate (HAN) forms a gummy solid known as a plastisol, which is ionically conducting. When an electrostatic potential of 200 V DC is applied across the plastisol, it ignites. Combustion ceases upon removal of the applied voltage. The products of PVA + HAN combustion are known to include the molecular gases carbon monoxide, carbon dioxide, water, nitrogen, and hydrogen. When the electric field within the plastisol is spatially uniform, combustion occurs preferentially at the anode. The fact that HAN is an ionic conductor suggests that the mechanism of combustion is electrolytic in …

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Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr. May 2021

Thermochemistry Of Combustion In Polyvinyl Alcohol + Hydroxylammonium Nitrate, James K. Baird, Robert A. Frederick Jr.

PRC-Affiliated Research

A mixture of polyvinyl alcohol (PVA) and hydroxylammoniun nitrate (HAN) forms a gummy solid known as a plastisol, which is ionically conducting. When an electrostatic potential of 200 V DC is applied across the plastisol, it ignites. Combustion ceases upon removal of the applied voltage. The products of PVA + HAN combustion are known to include the molecular gases carbon monoxide, carbon dioxide, water, nitrogen, and hydrogen. When the electric field within the plastisol is spatially uniform, combustion occurs preferentially at the anode. The fact that HAN is an ionic conductor suggests that the mechanism of combustion is electrolytic in …

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Experimental Investigation Of Surface Resistivity Of Yttrium Stabilized Zirconium As A Thin Film, Matthew J. Melfi May 2021

Experimental Investigation Of Surface Resistivity Of Yttrium Stabilized Zirconium As A Thin Film, Matthew J. Melfi

Seton Hall University Dissertations and Theses (ETDs)

Solid Oxide Fuel Cells are devices that use electrochemical reactions to convert chemical energy from fuel to electricity. In comparison with coal power plants, a Solid Oxide Fuel Cell, produces a higher electrical conversion efficiency. However, at higher temperatures (1000°C) it creates a lower ionic conductivity, which limit the Solid Oxide Fuel Cells. When lowering the temperature, the ohmic resistance increases. In our research, an Yttrium Stabilized Zirconium layer will be produced from a fine dimple grain structure allowing high flow of oxygen mobility. This mobility increases ionic conductivity and decrease ohmic loss. The goal of our research is first …

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Open Source Vacuum Oven Design For Low-Temperature Drying: Performance Evaluation For Recycled Pet And Biomass, Benjamin R. Hubbard, Lindsay I. Putman, Stephen Techtmann, Joshua M. Pearce May 2021

Open Source Vacuum Oven Design For Low-Temperature Drying: Performance Evaluation For Recycled Pet And Biomass, Benjamin R. Hubbard, Lindsay I. Putman, Stephen Techtmann, Joshua M. Pearce

Michigan Tech Publications, Part 1

Vacuum drying can dehydrate materials further than dry heat methods, while protecting sensitive materials from thermal degradation. Many industries have shifted to vacuum drying as cost-or time-saving measures. Small-scale vacuum drying, however, has been limited by the high costs of specialty scientific tools. To make vacuum drying more accessible, this study provides design and performance information for a small-scale open source vacuum oven, which can be fabricated from off-the-shelf and 3-D printed components. The oven is tested for drying speed and effectiveness on both waste plastic polyethylene terephthalate (PET) and a consortium of bacteria developed for bioprocessing of terephthalate wastes …

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