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Full-Text Articles in Entire DC Network
Digital Beamforming Array Phase Calibration Techniques For Multi-Pass Interferometric Sar, Kelly Cheung
Digital Beamforming Array Phase Calibration Techniques For Multi-Pass Interferometric Sar, Kelly Cheung
Browse all Theses and Dissertations
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 …
A Machine Learning Framework For Hypersonic Vehicle Design Exploration, Atticus Beachy
A Machine Learning Framework For Hypersonic Vehicle Design Exploration, Atticus Beachy
Browse all Theses and Dissertations
The design of Hypersonic Vehicles (HVs) requires meeting multiple unconventional and often conflicting design requirements in a hostile, high-energy environment. The most fundamental difference between ordinary aerospace design and hypersonic flight is that the extreme conditions of hypersonic flight require parts to perform multiple functions and be tightly integrated, resulting in significant coupled effects. Critical couplings among the disciplines of aerodynamics, structures, propulsion, and thermodynamics must be investigated in the early stages of design exploration to reduce the risk of requiring major design changes and cost overruns later. In addition, due to a lack of validated test data within the …
Data-Driven Strategies For Disease Management In Patients Admitted For Heart Failure, Ankita Agarwal
Data-Driven Strategies For Disease Management In Patients Admitted For Heart Failure, Ankita Agarwal
Browse all Theses and Dissertations
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. …
Short-Term Learning For Long-Term Retention : Dynamic Associative Memory, Joseph James Glavan Iv
Short-Term Learning For Long-Term Retention : Dynamic Associative Memory, Joseph James Glavan Iv
Browse all Theses and Dissertations
Instead of characterizing transfer from short-term memory to long-term memory as the relocation of information from one structural system to another, I propose a theory that conceives of transfer as the learning processes that act on and transform the representations of the information itself. Dynamic Associative Memory posits that recently encoded memories are supported by active maintenance and the relevance of the current context. Over time, the current context becomes less relevant; therefore, the brain must learn contextually invariant associations between memories so that they may support themselves. I instantiated my theory in the ACT-R cognitive architecture and created a …
Bandgap Engineering Of 2d Materials And Its Electric And Optical Properties, Kumar Vishal
Bandgap Engineering Of 2d Materials And Its Electric And Optical Properties, Kumar Vishal
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Since their invention in 1958, Integrated Circuits (ICs) have become increasingly more complex, sophisticated, and useful. As a result, they have worked their way into every aspect of our lives, for example: personal electronic devices, wearable electronics, biomedical sensors, autonomous driving cars, military and defense applications, and artificial intelligence, to name some areas of applications. These examples represent both collectively, and sometimes individually, multi-trillion-dollar markets. However, further development of ICs has been predicted to encounter a performance bottleneck as the mainstream silicon industry, approaches its physical limits. The state-of-the-art of today’s ICs technology will be soon below 3nm. At such …
Investigation Of Surface Roughness Effects On Additively Manufactured Metals Under Dynamic Loading, Rachel Elizabeth Tullis
Investigation Of Surface Roughness Effects On Additively Manufactured Metals Under Dynamic Loading, Rachel Elizabeth Tullis
Browse all Theses and Dissertations
The as-printed surfaces of parts produced through laser powder bed fusion are significantly rougher than surfaces produced through traditional manufacturing processes. This increased roughness can have a significant impact on mechanical properties, with perhaps the most notable detriment in the fatigue life of the part. Therefore, the as-printed surface roughness in additively manufactured materials must be studied more extensively to determine its impact on fatigue performance. This work investigates the surface roughness of additively manufactured specimens through the investigation of processing parameters and their effects on surface roughness in metal additive manufacturing. Furthermore, the relationships between as-printed surface roughness and …
Kv2.1 Dysfunction Underlies The Onset Of Symptoms In Sod1-G93a Mouse Model Of Als, Andrew J. Deutsch
Kv2.1 Dysfunction Underlies The Onset Of Symptoms In Sod1-G93a Mouse Model Of Als, Andrew J. Deutsch
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Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which targets motoneurons (MNs), yet underlying disease mechanisms are not well understood. Evaluating the intrinsic excitability of MNs in ALS could lead to a better understanding of mechanisms causing neurodegeneration. The SOD1-G93A (SOD) model is the most commonly studied animal model of ALS. However, past studies have shown highly conflicting results on SOD MN excitability. Interestingly, I show that depending on the level of membrane depolarization, SOD MNs show opposite results of both hyper- and hypo-excitability. This reveals that differences in the methodology of measuring excitability can heavily impact the study results. …
Lipin1 Improves Membrane Integrity In Dystrophic Muscles Of Mdx Mice, Abdulrahman Jama
Lipin1 Improves Membrane Integrity In Dystrophic Muscles Of Mdx Mice, Abdulrahman Jama
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Duchenne muscular dystrophy (DMD) is an X-linked genetic disorder that affects 1 in 3500 male births worldwide. It is characterized by mutations in the dystrophin gene that results in the loss of functional dystrophin. Dystrophin deficiency leads to instability of the sarcolemma alongside increased inflammation, necrosis and fibrosis resulting in membrane rupture and eventual muscle fiber death. There are currently no effective treatments for DMD. Here we show that Lipin1 expression is significantly downregulated at the mRNA and protein levels in gastrocnemius muscle of mdx mice, the DMD mouse model. Lipin1 has a dual function as a phosphatidic acid phosphatase …
Dna Instability At (Attct) Microsatellites In Human Cells, Venicia Alhawach
Dna Instability At (Attct) Microsatellites In Human Cells, Venicia Alhawach
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Microsatellites are short tandem repeats of DNA (1-9 nucleotides) that are unstable in the genome. They can expand and contract which leads to mutations and rearrangements that jeopardize genomic integrity. When encountered by a replication fork, repeats of these microsatellites can form non-B DNA structures which cause replication forks to stall and collapse eventually leading to double stranded breaks (DSBs) and replication stress. One form of repair of replication dependent DSBs happens via break induced replication (BIR), a highly mutagenic repair pathway. The main objective of this study is to understand how ATTCT pentanucleotide repeats affect replication and chromosomal instability …
Understanding And Enhancing The Efficiency And Efficacy Of Machine Learning-Assisted Software Vulnerability Detection, Daniel J. Grahn
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 …
Microsatellite Induced Genomic Instability And Mutagenesis Through Break Induced Replication, Rujuta Yashodhan Gadgil
Microsatellite Induced Genomic Instability And Mutagenesis Through Break Induced Replication, Rujuta Yashodhan Gadgil
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Faithful DNA replication is essential to maintain genomic integrity. Compromises in this process are among the prime causes of cancer and other genetic disorders. Among several factors that can interfere with error-free DNA replication, the formation of non-B DNA structures by microsatellite sequences is critical. Microsatellites are 1-9 bp long tandem repetitive regions that can form secondary structures like hairpins, triplex, Gquadruplex etc. and undergo expansions due to replication fork stalling to cause several diseases. Hairpin forming microsatellites have been shown to induce DNA DSBs and lead to genetic instability and mutagenesis. The goal of this study is to understand …
A Review On Strong Impacts Of Thermal Stress On Plants Physiology, Agricultural Yield; And Timely Adaptation In Plants To Heat Stress, Alam Sher, Yasmeen Asghar, Abdul Qayum, Muhammad Shabaz, Fatima Kiran, Laraib Arshad, Nadia Mehdi, Uzma Bibi, Shema Iqbal, Zainab Bibi, Rashna Anjum, Humaira Rasool, Javeria Mazher
A Review On Strong Impacts Of Thermal Stress On Plants Physiology, Agricultural Yield; And Timely Adaptation In Plants To Heat Stress, Alam Sher, Yasmeen Asghar, Abdul Qayum, Muhammad Shabaz, Fatima Kiran, Laraib Arshad, Nadia Mehdi, Uzma Bibi, Shema Iqbal, Zainab Bibi, Rashna Anjum, Humaira Rasool, Javeria Mazher
Journal of Bioresource Management
In this review, we checked the harsh influence of high temperature or heat stress on plant metabolism and crop yield. Plants can bear a minimum range of temperature; temperature more than this optimum range comes in the term of heat stress. Climate changes increase the number and severity of heat waves that reduced the development of plants and resulted in the death of the entire plant. Heat stress is a major stressful environment that destroys plant growth, biochemical reactions, and the yield of crops across the world. High-temperature influences many physiological and chemical reactions in plants. HS is now a …
Developing An In Vitro Validated 3d In Silico Internal Carotid Artery Sidewall Aneurysm Model, Hang Yi, Zifeng Yang, Mark Johnson, Luke Bramlage, Bryan Ludwig
Developing An In Vitro Validated 3d In Silico Internal Carotid Artery Sidewall Aneurysm Model, Hang Yi, Zifeng Yang, Mark Johnson, Luke Bramlage, Bryan Ludwig
Mechanical and Materials Engineering Faculty Publications
Introduction: Direct quantification of hemodynamic factors applied to a cerebral aneurysm (CA) remains inaccessible due to the lack of technologies to measure the flow field within an aneurysm precisely. This study aimed to develop an in vitro validated 3D in silico patient-specific internal carotid artery sidewall aneurysm (ICASA) model which can be used to investigate hemodynamic factors on the CA pathophysiology. Methods: The validated ICASA model was developed by quantifying and comparing the flow field using particle image velocimetry (PIV) measurements and computational fluid dynamics (CFD) simulations. Specifically, the flow field characteristics, i.e., blood flowrates, normalized velocity profiles, flow streamlines, …
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
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 …
Board Of Trustees Meeting Minutes, December 9, 2022
Board Of Trustees Meeting Minutes, December 9, 2022
Board of Trustees Minutes
Minutes from the Wright State University Board of Trustees Meeting held on December 9, 2022.
Faculty Senate Agenda And Minutes, December 5, 2022
Faculty Senate Agenda And Minutes, December 5, 2022
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on December 5, 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
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 …
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 - 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.
The Guardian The Month Of November 2022, Wright State Student Body
The Guardian The Month Of November 2022, Wright State Student Body
The Guardian Student Newspaper
News articles from The Guardian for the month of December 2022. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.
Discussion About Conserving The Woods, Volker Bahn
Discussion About Conserving The Woods, Volker Bahn
Runkle Woods Symposia
Dr. Volker Bahn discusses the work being done at Wright State to help conserve the Wright State Woods. His discussion introduces subjects later student presentations will cover including Bat Conservation in the Wright State Woods, The Threat of Plant Invaders and the Plan to Reduce Their Impact in the Wright State Woods, Stormwater Bioretention through the Establishment of Native Wetland Flora, and Pollution and Littering: Land and Water Pollution Control in the Wright State Woods.
Faculty Senate Agenda And Minutes, November 14, 2022
Faculty Senate Agenda And Minutes, November 14, 2022
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on November 14, 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
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 …
Hierarchical Structure And Properties Of The Bone At Nano Level, Farah Hamandi, Tarun Goswami
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 …
Residual Properties Of Silicone (Med-4719) Lead With Leads From Retrieved Devices, Anmar Salih, Tarun Goswami
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 …
Machine Learning For Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang
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 …
Low Intensity Vibration Protects The Weight Bearing Skeleton And Suppresses Fracture Incidence In Boys With Duchenne Muscular Dystrophy, Maria Luisa Bianchi, Silvia Vai, Giovanni Baranello, Francesca Broggi, Stefan Judex, Thomas N. Hangartner, Clinton Rubin
Low Intensity Vibration Protects The Weight Bearing Skeleton And Suppresses Fracture Incidence In Boys With Duchenne Muscular Dystrophy, Maria Luisa Bianchi, Silvia Vai, Giovanni Baranello, Francesca Broggi, Stefan Judex, Thomas N. Hangartner, Clinton Rubin
Biomedical, Industrial & Human Factors Engineering Faculty Publications
The ability of low intensity vibration (LIV) to combat skeletal decline in Duchenne Muscular Dystrophy (DMD) was evaluated in a randomized controlled trial. Twenty DMD boys were enrolled, all ambulant and treated with glucocorticoids (mean age 7.6, height adjusted Z scores [HAZ] of hip bone mineral density [BMD] −2.3). Ten DMD boys were assigned to stand for 10 min/d on an active LIV platform (0.4 g at 30 Hz), while 10 stood on a placebo device. Baseline and 14 month bone mineral content (BMC) and BMD of spine, hip, and total body were measured with DXA, and trabecular bone density …
Machine Learning For Aiding Blood Flow Velocity Estimation Based On Angiography, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, Zifeng Yang
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 …
Traumatic Brain Injury Biomarkers, Simulations And Kinetics, Celeste Hicks, Akshima Dhiman, Chauntel Barrymore, Tarun Goswami
Traumatic Brain Injury Biomarkers, Simulations And Kinetics, Celeste Hicks, Akshima Dhiman, Chauntel Barrymore, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
This paper reviews the predictive capabilities of blood-based biomarkers to quantify traumatic brain injury (TBI). Biomarkers for concussive conditions also known as mild, to moderate and severe TBI identified along with post-traumatic stress disorder (PTSD) and chronic traumatic encephalopathy (CTE) that occur due to repeated blows to the head during one’s lifetime. Since the pathways of these biomarkers into the blood are not fully understood whether there is disruption in the blood–brain barrier (BBB) and the time it takes after injury for the expression of the biomarkers to be able to predict the injury effectively, there is a need to …
The Guardian The Week Of October 24, 2022, Wright State Student Body
The Guardian The Week Of October 24, 2022, Wright State Student Body
The Guardian Student Newspaper
News articles from The Guardian for the week of October 24, 2022. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.
Understand, Educate And Heal: Renate Frydman, Ph.D., And The Dayton Holocaust Resource Center, Renate Frydman
Understand, Educate And Heal: Renate Frydman, Ph.D., And The Dayton Holocaust Resource Center, Renate Frydman
Dayton Holocaust Resource Center Events
Renate Frydman, Ph.D, founder and director of the Dayton Holocaust Resource Center, tells her own story of fleeing Germany just days before Kistallnacht and how it has shaped her lifelong focus on educating students about the Holocaust, genocide, racism, and bullying.
Read more about this event and Dr. Frydman's work in the Wright State University Newsroom Article