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Systematics, Taxonomy, And Ecology Of Neotropical Tachinidae (Diptera) With Focus On The Tribe Polideini, Juan Manuel Perilla López Jan 2023

Systematics, Taxonomy, And Ecology Of Neotropical Tachinidae (Diptera) With Focus On The Tribe Polideini, Juan Manuel Perilla López

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The diverse family of flies Tachinidae are a significant component of insect communities in nearly all terrestrial systems from deserts to tropical forests to the high arctic. Due to their parasitoid habit, tachinids are important enemies of a variety of other insect groups. Despite the apparent importance of this group, current studies—including ecological and biogeographic studies—are limited by taxonomic and systematic impediments, including unknown phylogenetic frameworks for most tribes, poorly known generic limits, and a large number of undescribed tropical species. Here I present studies in taxonomy, systematics, phylogenetics and ecology of the Polideini of the Neotropical region organized in …

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Effect Of Reduced Cardiomyocyte O-Glcnacylation On The Expression And Activity Of The Cardiac Voltage-Gated Sodium Channel, Chiagozie Dawn Bede Paul-Onyia Jan 2023

Effect Of Reduced Cardiomyocyte O-Glcnacylation On The Expression And Activity Of The Cardiac Voltage-Gated Sodium Channel, Chiagozie Dawn Bede Paul-Onyia

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Abnormal glycosylation can impact cardiac proteins, affecting signaling, contraction, and metabolism, which leads to compromised cardiac function. O-GlcNAcylation, the only form of intracellular glycosylation, involves adding a single GlcNAc molecule to proteins via enzymes: O-GlcNAc Transferase (OGT) for addition and O-GlcNAcase (OGA) for removal. The Ednie/Bennett lab has previously demonstrated that in both chronic (OGT KO) and acute (OGT inhibition) models of reduced cardiomyocyte O-GlcNAcylation, a disruption of Ca2+ homeostasis occurs. This study delved into the cardiac voltage-gated sodium channel (NaV 1.5) in these models. NaV 1.5 expression was analyzed through western blotting and immunocytochemistry, while its functional activity was …

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Icing Mitigation Via High-Pressure Membrane Dehumidification In An Aircraft Thermal Management, Danielle D. Hollon Jan 2023

Icing Mitigation Via High-Pressure Membrane Dehumidification In An Aircraft Thermal Management, Danielle D. Hollon

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Icing, or the formation of ice from water via freezing or water vapor via desublimation, is a phenomenon that commonly occurs within air cycle-based refrigeration systems and requires thermal control that limits system performance. In aircraft applications icing frequently occurs in the heat exchangers and turbine(s) that are part of the air cycle machine, the refrigeration unit of the environmental control system. Traditionally, water vapor is removed from an air cycle machine via condensing in a heat exchanger and subsequent high-pressure water separation. This approach is not capable of removing all of the vapor present at low altitude conditions, corresponding …

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Unsupervised-Based Distributed Machine Learning For Efficient Data Clustering And Prediction, Vishnu Vardhan Baligodugula Jan 2023

Unsupervised-Based Distributed Machine Learning For Efficient Data Clustering And Prediction, Vishnu Vardhan Baligodugula

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Machine learning techniques utilize training data samples to help understand, predict, classify, and make valuable decisions for different applications such as medicine, email filtering, speech recognition, agriculture, and computer vision, where it is challenging or unfeasible to produce traditional algorithms to accomplish the needed tasks. Unsupervised ML-based approaches have emerged for building groups of data samples known as data clusters for driving necessary decisions about these data samples and helping solve challenges in critical applications. Data clustering is used in multiple fields, including health, finance, social networks, education, and science. Sequential processing of clustering algorithms, like the K-Means, Minibatch K-Means, …

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Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan Jan 2023

Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan

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Item Response Trees are a type of item response model that incorporates information about conditional responding to items using a rooted tree graph structure. Researchers have used item response trees for common measurement tasks and for testing novel hypotheses. Previous simulation studies investigating item response trees either lack generalizability to the broad domain of their use or lack thorough investigation and reporting of the results. I conducted a simulation study to explore how sample size, test length, item characteristics, and tree structure affect both item and person parameter recovery for 1PL and 2PL models. The results suggested that, as with …

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Rankine Cycle Investigation On Meeting Power And Thermal Requirements Of High-Speed Aircraft, Jacob J. Spark Jan 2023

Rankine Cycle Investigation On Meeting Power And Thermal Requirements Of High-Speed Aircraft, Jacob J. Spark

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This work is investigating a dual mode Rankine cycle for aircraft applications, specifically meeting vehicle thermal and power requirements. This multiconfigurational approach allows the Thermal Management System (TMS) to be controlled based on aircraft needs. In this design, waste heat is removed from critical areas of the aircraft (e.g., propulsion, structure, subsystems) using the fuel as a heat sink. Hot fuel is then forced through a heat exchanger actively boiling water. The vapor byproduct is fed to a turbine coupled to a generator, providing power. The low-pressure steam is then condensed using cold fuel drawn from its tank; however, when …

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Anomaly Detection In Multi-Seasonal Time Series Data, Ashton Taylor Williams Jan 2023

Anomaly Detection In Multi-Seasonal Time Series Data, Ashton Taylor Williams

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Most of today’s time series data contain anomalies and multiple seasonalities, and accurate anomaly detection in these data is critical to almost any type of business. However, most mainstream forecasting models used for anomaly detection can only incorporate one or no seasonal component into their forecasts and cannot capture every known seasonal pattern in time series data. In this thesis, we propose a new multi-seasonal forecasting model for anomaly detection in time series data that extends the popular Seasonal Autoregressive Integrated Moving Average (SARIMA) model. Our model, named multi-SARIMA, utilizes a time series dataset’s multiple pre-determined seasonal trends to increase …

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Comparative Study Of Mof's In Phosphate Adsorption, Eniya Karunamurthy Jan 2023

Comparative Study Of Mof's In Phosphate Adsorption, Eniya Karunamurthy

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High concentrations of phosphate are known to adversely affect the environment. Excess phosphate can lead to eutrophication that eventually fosters uncontrollable growth of aquatic plants and algae. This can result in depletion of oxygen content which adversely impacts underwater organism’s survival rates. Metal organic frameworks (MOFs) consist of organic linkers in conjunction with metal ions or clusters arranged within a crystalline structure. They are highly porous and have larger surface area due to their ability to possess extensive void spaces while remaining bulky in nature. MOFs can absorb phosphate from aqueous solutions. We have investigated the use of commercially available …

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Path-Safe: Enabling Dynamic Mandatory Access Controls Using Security Tokens, James P. Maclennan Jan 2023

Path-Safe: Enabling Dynamic Mandatory Access Controls Using Security Tokens, James P. Maclennan

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Deploying Mandatory Access Controls (MAC) is a popular way to provide host protection against malware. Unfortunately, current implementations lack the flexibility to adapt to emergent malware threats and are known for being difficult to configure. A core tenet of MAC security systems is that the policies they are deployed with are immutable from the host while they are active. This work looks at deploying a MAC system that leverages using encrypted security tokens to allow for redeploying policy configurations in real-time without the need to stop a running process. This is instrumental in developing an adaptive framework for security systems …

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Quantifying The Effects Of Dredged Sediment Application On Soil Properties And Plant Responses In Combination With Common Agricultural Field Management Practices, Ashley N. Julian Jan 2023

Quantifying The Effects Of Dredged Sediment Application On Soil Properties And Plant Responses In Combination With Common Agricultural Field Management Practices, Ashley N. Julian

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Successful crop production relies on soils with balanced physical, chemical and biological properties. Demand for greater crop yields has led to the breakdown of soil properties through detrimental agricultural practices. To combat soil degradation, farmers employ field management practices including cover crop application, crop rotation strategies and organic soil amendment addition. These practices, used independently or in combination, can improve soil stability, increase soil nutrient content and functions of beneficial soil microbiota while increasing crop yield. Despite showing promise as an organic soil amendment, dredged sediments are still not well understood, due in part to the fresh or weathered conditions …

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Digital Beamforming Array Phase Calibration Techniques For Multi-Pass Interferometric Sar, Kelly Cheung Jan 2023

Digital Beamforming Array Phase Calibration Techniques For Multi-Pass Interferometric Sar, Kelly Cheung

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Calibration plays a critical role in the optimal performance of algorithms in digital beamforming arrays. Phase incoherency between elements results in poor beamforming with decreased gain and higher sidelobes, leading to a decrease in accuracy and sensitivity of measurements. A similar problem exists in performing multi-pass interferometric SAR (IFSAR) processing of SAR data stacks to generate topological maps of the scene, where phase errors translate to height errors. By treating each SAR image in the data stack like an element of a uniform linear array, this thesis explores several phase calibration techniques that can be used to calibrate digital beamforming …

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Data-Driven Strategies For Disease Management In Patients Admitted For Heart Failure, Ankita Agarwal Jan 2023

Data-Driven Strategies For Disease Management In Patients Admitted For Heart Failure, Ankita Agarwal

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Heart failure is a syndrome which effects a patient’s quality of life adversely. It can be caused by different underlying conditions or abnormalities and involves both cardiovascular and non-cardiovascular comorbidities. Heart failure cannot be cured but a patient’s quality of life can be improved by effective treatment through medicines and surgery, and lifestyle management. As effective treatment of heart failure incurs cost for the patients and resource allocation for the hospitals, predicting length of stay of these patients during each hospitalization becomes important. Heart failure can be classified into two types: left sided heart failure and right sided heart failure. …

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Deciphering The Pathway Of Human Astrovirus Release From Infected Cells, Joshua Eduful Jan 2023

Deciphering The Pathway Of Human Astrovirus Release From Infected Cells, Joshua Eduful

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During infection, viruses are released from infected cells and spread to neighboring cells either through a lytic pathway (by rupturing cells), a non-lytic pathway (such as the use of extracellular vesicles), or both pathways. Human astroviruses (HAstV) are highly prevalent non-enveloped positive sense RNA viruses. They are separated into three clades, classic-type, MLB-type and VA-type, in humans. They are identified as the third leading cause of viral gastroenteritis in children, the elderly, and immunocompromised patients. Yet, little is known about the replication, transmission, immunity, and epidemiology of these viruses. Thus, I sought to investigate the possible pathways HAstV utilize to …

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Characterization Of The Roles Of Mitochondria In The Toxicity Of Α-Synuclein In A Respiratory Cell Model, Breonna Elizabeth Gillespie Jan 2023

Characterization Of The Roles Of Mitochondria In The Toxicity Of Α-Synuclein In A Respiratory Cell Model, Breonna Elizabeth Gillespie

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Although α-synuclein (α-syn) has been linked genetically and pathologically to Parkinson’s disease, the mechanism by which it drives disease pathogenesis is not fully understood. When α-syn is overexpressed in yeast, it forms abnormal cytoplasmic accumulations and leads to cell death, resembling the phenotypes observed in neurons. Such yeast models have been widely used to uncover molecular mechanisms of α-syn toxicity, but the induction of α-syn relies on growing yeast in galactose, a fermentable carbon source. Yeast does not require cellular respiration when grown in galactose, thus limiting the understanding of α-syn toxicity when cellular respiration is essential for neurons. We …

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A Novel Role Of Lipin1 In The Regulation Of Expression And Function Of Nnos, Ayat Azzam Jan 2023

A Novel Role Of Lipin1 In The Regulation Of Expression And Function Of Nnos, Ayat Azzam

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Duchenne muscular dystrophy (DMD) is a severe and progressive muscular dystrophy that develops in the skeletal muscles because of mutations in the dystrophin gene. Dystrophin stabilizes sarcolemma and assembles neuronal nitric oxide synthase (nNOS) into the dystrophin-associated protein complex on the sarcolemma. The absence of dystrophin triggers the delocalization of nNOS and contributes to the misregulation of muscle development, blood flow, muscle fatigue, and inflammation. Lipin1 was reduced in the skeletal muscles of patients with DMD and the mdx mouse model of DMD. In this study, we explored the role of lipin1 in the regulation of nNOS expression and function. …

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Understanding And Enhancing The Efficiency And Efficacy Of Machine Learning-Assisted Software Vulnerability Detection, Daniel J. Grahn Jan 2023

Understanding And Enhancing The Efficiency And Efficacy Of Machine Learning-Assisted Software Vulnerability Detection, Daniel J. Grahn

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As our world has become dependent upon software for nearly every aspect of modern society, software security has followed as an essential feature. The first line of defense against vulnerabilities is secure coding. While today’s programmers are carefully taught secure coding best practices, they can make mistakes or intentionally introduce vulnerable code. The traditional backstop to human errors and insider threats is the adoption of automated security analysis tools. These analysis tools have limitations. Static analysis suffers from high false positive rates that may cause annoyance and complacency among developers. Dynamic analysis can be difficult to set up and very …

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Ecological Diagnosis And Diversity Structure Of The Forest Birds Community In Machroha Forest (Souk Ahras – Northeastern Algeria), Abdelhak Boucif, Mouslim Bara, Moussa Houhamdi Dec 2022

Ecological Diagnosis And Diversity Structure Of The Forest Birds Community In Machroha Forest (Souk Ahras – Northeastern Algeria), Abdelhak Boucif, Mouslim Bara, Moussa Houhamdi

Journal of Bioresource Management

Machroha forest is a large hot spot of biodiversity of northeastern region of Algeria. It is dominated by several species of oak tree that can contribute to the conservation of many animals such as birds. Our study was carried out from February 2019 to July 2021, in order to diagnosis the ecological status of forest birds and their dynamics. Our results reported that this forest was including 19.21% of the Algerian avifauna diversity. We recorded 78 species of birds classified in 32 families. The main species were sedentary with an insectivorous trophic categories and terrestrial guild. Three species observed in …

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Hamilton Cycles In Bidirected Complete Graphs, Arthur Busch, Mohammed A. Mutar, Daniel Slilaty Dec 2022

Hamilton Cycles In Bidirected Complete Graphs, Arthur Busch, Mohammed A. Mutar, Daniel Slilaty

Mathematics and Statistics Faculty Publications

Zaslavsky observed that the topics of directed cycles in directed graphs and alternating cycles in edge 2-colored graphs have a common generalization in the study of coherent cycles in bidirected graphs. There are classical theorems by Camion, Harary and Moser, Häggkvist and Manoussakis, and Saad which relate strong connectivity and Hamiltonicity in directed "complete" graphs and edge 2-colored "complete" graphs. We prove two analogues to these theorems for bidirected "complete" signed graphs.

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Evaluation Of Antibacterial Potential Of Artemisinin Extracts Of Artemisia Annua In Vivo And In Vitro, Arsalan Khan, Akhtar Ali, Imtiaz Ali Shah, Umm-E- Aimen, Waseem Ullah, Imtiaz Khan Dec 2022

Evaluation Of Antibacterial Potential Of Artemisinin Extracts Of Artemisia Annua In Vivo And In Vitro, Arsalan Khan, Akhtar Ali, Imtiaz Ali Shah, Umm-E- Aimen, Waseem Ullah, Imtiaz Khan

Journal of Bioresource Management

To ensure universal health care, the World Health Organization recognized the significance of complementary and alternative medicines (CAM) and recommended the use of natural herbs and plants bearing therapeutic potential and fewer adverse effects. Therefore, Artemisia annua herb was evaluated for its antibacterial potential and therapeutic efficacy against Staphylococcus aureus, Streptococcus and Escherichia coli both in vitro and in vivo. Artemisinin was extracted from Artemisia annua by chemical treatment. Subsequently, the culture sensitivity tests were performed on MHA by disk diffusion method to determine the antibacterial potential of the Artemisinin extracts against the test bacteria (in vitro phase). …

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Length-Weight Relationships Of The Bream Abramis Brama (Linnaeus, 1758) In Beni- Haroun Dam Of Mila City (North-East Of Algeria), Tolba Mounia, Hadjab Ramzi, Chikara Bouziani Mohamed, Berrouk Houda, Kaouachi Nouha Dec 2022

Length-Weight Relationships Of The Bream Abramis Brama (Linnaeus, 1758) In Beni- Haroun Dam Of Mila City (North-East Of Algeria), Tolba Mounia, Hadjab Ramzi, Chikara Bouziani Mohamed, Berrouk Houda, Kaouachi Nouha

Journal of Bioresource Management

The study of fish growth is a valuable tool in providing good understanding on the general biology and growth of fish populations, in addition to the comparison of the same fish species populations living in remote geographic areas. Thus, the present work was designed to study the age and growth of Abramis brama species newly introduced in Beni-Haroun dam (Mila department, Northeast Algeria). Here, the study was conducted on sampling of 141 individuals from July 2015 to October 2016. The age of fishes was determined according to scalimetric method, since the fish sex was determined by macroscopic method, showing that …

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Drug Abuse Ontology To Harness Web-Based Data For Substance Use Epidemiology Research, Usha Lokala, Francois Lamy, Raminta Daniulaityte, Manas Gaur, Amelie Gyrard, Krishnaprasad Thirunarayan, Ugur Kursuncu, Amit Sheth Dec 2022

Drug Abuse Ontology To Harness Web-Based Data For Substance Use Epidemiology Research, Usha Lokala, Francois Lamy, Raminta Daniulaityte, Manas Gaur, Amelie Gyrard, Krishnaprasad Thirunarayan, Ugur Kursuncu, Amit Sheth

Computer Science and Engineering Faculty Publications

Background: Web-based resources and social media platforms play an increasingly important role in health-related knowledge and experience sharing. There is a growing interest in the use of these novel data sources for epidemiological surveillance of substance use behaviors and trends. Objective: The key aims were to describe the development and application of the drug abuse ontology (DAO) as a framework for analyzing web-based and social media data to inform public health and substance use research in the following areas: determining user knowledge, attitudes, and behaviors related to nonmedical use of buprenorphine and illicitly manufactured opioids through the analysis of web …

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College Of Graduate Programs And Honors Studies Newsletter - December 2022, College Of Graduate Programs And Honor Studies, Wright State University Dec 2022

College Of Graduate Programs And Honors Studies Newsletter - December 2022, College Of Graduate Programs And Honor Studies, Wright State University

College of Graduate Programs and Honors Studies Newsletter

A six page newsletter created by the College of Graduate Programs and Honors Studies at Wright State University. This newsletter includes a upcoming events, message from the dean, and more.

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Woods Symposium 2022 Program, Wright State University Nov 2022

Woods Symposium 2022 Program, Wright State University

Runkle Woods Symposia

The program for the 5th annual Wright State University Runkle Woods Symposium that took place on November 18, 2022

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Submillimeter-Wave Cornea Phantom Sensing Over An Extended Depth Of Field With An Axicon-Generated Bessel Beam, Mariangela Baggio, Aleksi Tamminen, Joel Lamberg, Roman Grigorev, Samu-Ville Pälli, Juha Ala-Laurinaho, Irina Nefedova, Jean-Louis Bourges, Sophie X. Deng, Elliott R. Brown, Vincent P. Wallace, Zachary D. Taylor Nov 2022

Submillimeter-Wave Cornea Phantom Sensing Over An Extended Depth Of Field With An Axicon-Generated Bessel Beam, Mariangela Baggio, Aleksi Tamminen, Joel Lamberg, Roman Grigorev, Samu-Ville Pälli, Juha Ala-Laurinaho, Irina Nefedova, Jean-Louis Bourges, Sophie X. Deng, Elliott R. Brown, Vincent P. Wallace, Zachary D. Taylor

Physics Faculty Publications

The feasibility of a 220 - 330 GHz zero order axicon generated Bessel beam for corneal water content was explored. Simulation and experimental data from the 25-degree cone angle hyperbolic-axicon lens illuminating metallic spherical targets demonstrate a monotonically decreasing, band integrated, backscatter intensity for increasing radius of curvature from 7 - 11 mm, when lens reflector and optical axis are aligned. Further, for radii >= 9.5 mm, maximum signal was obtained with a 1 mm transverse displacement between lens and reflector optical axes arising from spatial correlation between main lobe and out of phase side lobes. Thickness and permittivity parameter …

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Submillimeter-Wave Cornea Phantom Sensing Over An Extended Depth Of Field With An Axicon-Generated Bessel Beam, Mariangela Baggio, Aleksi Tamminen, Joel Lamberg, Roman Grigorev, Samu-Ville Pälli, Juha Ala-Laurinaho, Irina Nefedova, Jean-Louis Bourges, Sophie X. Deng, Elliott R. Brown, Vincent P. Wallace, Zachary D. Taylor Nov 2022

Submillimeter-Wave Cornea Phantom Sensing Over An Extended Depth Of Field With An Axicon-Generated Bessel Beam, Mariangela Baggio, Aleksi Tamminen, Joel Lamberg, Roman Grigorev, Samu-Ville Pälli, Juha Ala-Laurinaho, Irina Nefedova, Jean-Louis Bourges, Sophie X. Deng, Elliott R. Brown, Vincent P. Wallace, Zachary D. Taylor

Electrical Engineering Faculty Publications

The feasibility of a 220 - 330 GHz zero order axicon generated Bessel beam for corneal water content was explored. Simulation and experimental data from the 25-degree cone angle hyperbolic-axicon lens illuminating metallic spherical targets demonstrate a monotonically decreasing, band integrated, backscatter intensity for increasing radius of curvature from 7 - 11 mm, when lens reflector and optical axis are aligned. Further, for radii >= 9.5 mm, maximum signal was obtained with a 1 mm transverse displacement between lens and reflector optical axes arising from spatial correlation between main lobe and out of phase side lobes. Thickness and permittivity parameter …

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Hierarchical Structure And Properties Of The Bone At Nano Level, Farah Hamandi, Tarun Goswami Nov 2022

Hierarchical Structure And Properties Of The Bone At Nano Level, Farah Hamandi, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Bone is a highly hierarchical complex structure that consists of organic and mineral components represented by collagen molecules (CM) and hydroxyapatite crystals (HAC), respectively. The nanostructure of bone can significantly affect its mechanical properties. There is a lack of understanding how collagen fibrils (CF) in different orientations may affect the mechanical properties of the bone. The objective of this study is to investigate the effect of interaction, orientation, and hydration on atomic models of the bone composed of collagen helix (CH) and HAC, using molecular dynamics simulations and therefrom bone-related disease origins. The results demonstrate that the mechanical properties of …

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Residual Properties Of Silicone (Med-4719) Lead With Leads From Retrieved Devices, Anmar Salih, Tarun Goswami Nov 2022

Residual Properties Of Silicone (Med-4719) Lead With Leads From Retrieved Devices, Anmar Salih, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Leads are designed for in vivo applications, however, for a definite period of time. In-vivo environment affects the mechanical behavior of implantable devices, therefore, there is a need to evaluate the residual properties of implantable leads used with pacemakers, defibrillator and neuro-stimulators. Silicone (MED-4719) lead is widely used in cardiac implantable electronic devices made by different manufacturers. . We collected 150 devices (with or without leads) from Anatomical Gift Program of the Wright State University. The objective of this study was to investigate the residual properties of Silicone (MED-4719) lead with different in vivo exposure time and compare the properties …

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Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang Nov 2022

Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang

Computer Science and Engineering Faculty Publications

Computational fluid dynamics (CFD) is widely employed to predict hemodynamic characteristics in arterial models, while not friendly to clinical applications due to the complexity of numerical simulations. Alternatively, this work proposed a framework to estimate hemodynamics in vessels based on angiography images using machine learning (ML) algorithms. First, the iodine contrast perfusion in blood was mimicked by a flow of dye diffusing into water in the experimentally validated CFD modeling. The generated projective images from simulations imitated the counterpart of light passing through the flow field as an analogy of X-ray imaging. Thus, the CFD simulation provides both the ground …

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Machine Learning For Aiding Blood Flow Velocity Estimation Based On Angiography, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang Oct 2022

Machine Learning For Aiding Blood Flow Velocity Estimation Based On Angiography, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang

Computer Science and Engineering Faculty Publications

Computational fluid dynamics (CFD) is widely employed to predict hemodynamic characteristics in arterial models, while not friendly to clinical applications due to the complexity of numerical simulations. Alternatively, this work proposed a framework to estimate hemodynamics in vessels based on angiography images using machine learning (ML) algorithms. First, the iodine contrast perfusion in blood was mimicked by a flow of dye diffusing into water in the experimentally validated CFD modeling. The generated projective images from simulations imitated the counterpart of light passing through the flow field as an analogy of X-ray imaging. Thus, the CFD simulation provides both the ground …

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Motoneuron Excitability Dysfunction In Als: Pseudo-Mystery Or Authentic Conundrum?, Sherif M. Elbasiouny Oct 2022

Motoneuron Excitability Dysfunction In Als: Pseudo-Mystery Or Authentic Conundrum?, Sherif M. Elbasiouny

Neuroscience, Cell Biology & Physiology Faculty Publications

In amyotrophic lateral sclerosis (ALS), abnormalities in motoneuronal excitability are seen in early pathogenesis and throughout disease progression. Fully understanding motoneuron excitability dysfunction may lead to more effective treatments. Yet decades of research have not produced consensus on the nature, role or underlying mechanisms of motoneuron excitability dysfunction in ALS. For example, contrary to Ca excitotoxicity theory, predictions of motoneuronal hyper-excitability, normal and hypo-excitability have also been seen at various disease stages and in multiple ALS lines. Accordingly, motoneuron excitability dysfunction in ALS is a disputed topic in the field. Specifically, the form (hyper, hypo or unchanged) and what role …

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