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The Effects Of Microgravity On The Development Of Osteoporosis, Jackson Asiatico Aug 2023

The Effects Of Microgravity On The Development Of Osteoporosis, Jackson Asiatico

Electronic Theses and Dissertations, 2020-2023

Previous research has identified a potential link between microgravity conditions and the onset of osteoporosis, a connection that stems from altered fluidic pathways crucial in nutrient dispersion and cell stimulation. Specifically, the absence of mechanical loading in space environments reduces fluid shear stress, thereby disrupting the normal flow of interstitial fluid in trabecular bone. This disruption greatly impacts the functionality of osteoblasts and osteoclasts, the vital cells responsible for maintaining healthy bones. The focus of this study aims to explore the impact of microgravity on bone loss in astronauts, establishing the connection between the lack of mechanical loading and the …

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Defect Generation Mechanisms In Silica Under Intense Electronic Excitation By Ion Beams Below 100 K: Interplay Between Radiative Emissions, M. L. Crespillo, Joseph T. Graham, W. J. Weber, F. Agulló-López Aug 2023

Defect Generation Mechanisms In Silica Under Intense Electronic Excitation By Ion Beams Below 100 K: Interplay Between Radiative Emissions, M. L. Crespillo, Joseph T. Graham, W. J. Weber, F. Agulló-López

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Ion-beam effects on bulk silica at low temperature have been studied with the aim of understanding the routes and mechanisms leading from the initial generation of free carriers and self-trapped excitons (STEs) to the production of two stable defect structures in irradiated silica, non-bridging oxygen hole centers (NBOHCs) and oxygen deficient centers (ODCs). Ion beam induced luminescence (ionoluminescence, IL) spectra were obtained using 3 MeV H, 3.5 MeV He, 19 MeV Si, and 19 MeV Cl ions and a range of cryogenic irradiation temperatures from 30 to 100 K. The kinetic behavior of three emission bands centered at 1.9 eV …

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Late Starts Leading To Native-Like Pronunciation In Second Language Acquisition, Antonio Losavio Aug 2023

Late Starts Leading To Native-Like Pronunciation In Second Language Acquisition, Antonio Losavio

Electronic Theses and Dissertations, 2020-2023

This study sought to investigate the self-perceived factors that led adult language learners, who acquired L2 after the critical period, to acquire native like pronunciation in their second language. Given the impact of accent and pronunciation on perceptions of a speaker's status, intelligence and/or competence, there exists a need for thoughtful and comprehensive research into why adult second language learners reach different outcomes in pronunciation attainment. A qualitative phenomenological design was employed to recruit adults who began learning English as an L2 after 12 years old but attained a native-like English accent. Participants recorded vocal samples that were presented with …

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Investigation Of Ground Deformations And Vibrations Due To Impact Pile Driving: Measurements And Prediction Model, Berk Turkel Aug 2023

Investigation Of Ground Deformations And Vibrations Due To Impact Pile Driving: Measurements And Prediction Model, Berk Turkel

Electronic Theses and Dissertations, 2020-2023

Pile driving, a commonly used method for installing deep foundations, has gained prominence as a foundation solution to transfer structural loads to deep competent strata. However, this method of installation can generate noise, ground vibrations, and deformations. These effects pose risks to adjacent structures and buried utilities, jeopardizing the safety and serviceability of urban infrastructure. Researchers and public and private agencies have proposed many vibration limit criteria to avoid damage to infrastructure. However, these criteria for construction vibrations are not linked to the ground densification associated with repetitive and cumulative loadings in sandy soils. This dissertation focuses on developing a …

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Amazonian Wetland Domestication: A Spatial Analysis Of Pre-Columbian Fish Weirs In Lowland Bolivia, Charlotte Robinson Aug 2023

Amazonian Wetland Domestication: A Spatial Analysis Of Pre-Columbian Fish Weirs In Lowland Bolivia, Charlotte Robinson

Electronic Theses and Dissertations, 2020-2023

Recent archaeological studies show that pre-Columbian communities began modifying Southwestern Amazonia approximately 3,500 years ago. In lowland Bolivia, a recently mapped network of fish weirs in West Central Llanos de Mojos (WCM) demonstrates how ancient Mojeño groups built artificial earthworks to harness seasonal flooding and catch fish. In the eastern region of Baures, a similar complex of fish weirs has been studied since the 1990s, generating questions about how this system may function in a different hydrological and anthropogenic setting. Similarly, previous research within WCM has focused on the fields and forest islands that pre-Columbian populations built to elevate themselves …

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An Exploration Of The Digital Technology Skills Important In The Workforce And The Digital Technology Preparation Of Individuals With Intellectual Disabilities In Inclusive Postsecondary Education Programs, Erika Moore Aug 2023

An Exploration Of The Digital Technology Skills Important In The Workforce And The Digital Technology Preparation Of Individuals With Intellectual Disabilities In Inclusive Postsecondary Education Programs, Erika Moore

Electronic Theses and Dissertations, 2020-2023

This research study identifies the digital technology skills important for entry-level employees in the 21st-century workforce and assesses the digital technology preparation currently provided in Inclusive Postsecondary Education programs for students with intellectual disabilities. Digital technology skills were evaluated using the Digital Competence Conceptual Reference Model (2016). A survey was distributed to 100 U.S. employers to assess the digital technology skills in demand in the workforce. Inclusive Postsecondary Education programs were then evaluated to assess the digital technology skill preparation offered at 83 programs across the U.S. The results were analyzed to determine whether Inclusive Postsecondary Education programs are preparing …

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The Effect Of Extended Reality On The Science Achievement Gap Between Students With And Without Disabilities, Shalece Kohnke Aug 2023

The Effect Of Extended Reality On The Science Achievement Gap Between Students With And Without Disabilities, Shalece Kohnke

Electronic Theses and Dissertations, 2020-2023

A science achievement gap between students with disabilities (SWD) and students without disabilities continues to persist, impacting academic and occupational outcomes. Traditional science instruction and the abstract nature of science concepts are a barrier to science achievement for students with disabilities. The current research study examined the effect of extended reality (XR; Browser-based 360° virtual reality) on closing the science achievement gap between students with and without disabilities in inclusive biology classrooms using a one group pretest-posttest design. The researcher expands on existing research by utilizing a larger sample size, with free and easily accessible XR technology implemented in 9th …

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A Phenomenological Exploration Of Transfer Students' Experiences With Coaching And Advising At A Large Metropolitan Research University, Mirvate El Jerdi Aug 2023

A Phenomenological Exploration Of Transfer Students' Experiences With Coaching And Advising At A Large Metropolitan Research University, Mirvate El Jerdi

Electronic Theses and Dissertations, 2020-2023

The number of students transferring from state colleges to state universities in Florida is significant due to the articulation agreements that are supported by the Board of Governors. These agreements allow students who have completed an associate degree to transfer their credits toward a bachelor's degree at a state university. However, transfer students face numerous barriers including academic, financial, and personal that hinder their success as they transition and start their first year at the state university. A large metropolitan public university in Florida has implemented success coaching, a new model of holistic student support, and advising services to provide …

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A Phenomenological Inquiry On How Social Markers Inform Preservice Elementary Teachers Science Teacher Identity Through The Lens Of Positionality, Katherine Cruz-Deiter Aug 2023

A Phenomenological Inquiry On How Social Markers Inform Preservice Elementary Teachers Science Teacher Identity Through The Lens Of Positionality, Katherine Cruz-Deiter

Electronic Theses and Dissertations, 2020-2023

This qualitative study explores the lived experiences of preservice elementary teachers (PSETs) in a teacher preparation course and the factors that informed their science teacher identity. The theoretical framework used was phenomenology, and the study addresses under researched undergraduate preservice elementary teachers within teacher preparation courses with no teaching experience. Methods included participant survey, semi structured interviews, and a card sort activity. Analysis was conducted with basic statistical methods for the quantitative data, and coding followed by creating themes for the qualitative data. Findings reveal that the responses (n=28) to an open question survey report 21 PSETs did not identify …

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Efficient Convolutional Neural Networks For Image Classification And Regression, Muhammad Tayyab Aug 2023

Efficient Convolutional Neural Networks For Image Classification And Regression, Muhammad Tayyab

Electronic Theses and Dissertations, 2020-2023

Neural networks have been a topic of research since 1970s and the Convolutional Neural Networks (CNNs) were first shown to work well for hand written digits recognition in 1998. These early networks were however still shallow and contained only a few layers. Moreover these networks were mostly trained on a small amount of data in contrast to the modern CNNs which contain hundreds of convolution layers and are trained on millions of images. However, this recent shift in machine learning comes at a cost. Modern neural networks have extremely large number of parameters and require huge amount of computations for …

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Trajectory Design Optimization Using Coupled Radial Basis Functions (Crbfs), Kyler Roy Aug 2023

Trajectory Design Optimization Using Coupled Radial Basis Functions (Crbfs), Kyler Roy

Electronic Theses and Dissertations, 2020-2023

Optimal trajectory design has been extensively studied across multiple disciplines adopting different techniques for implementation and execution. It has been utilized in past space trajectory missions to either optimize the amount of fuel spent or minimize the time of flight to meet mission requirements. Coupled Radial Basis Functions (CRBFs) are a new way to solve these optimal control problems, and this thesis applies CRBFs to spacecraft trajectory optimization design problems. CRBFs are real-valued radial basis functions (RBFs) that utilize a conical spline while also not being affected by the value of the shape parameter. The CRBF approach is applied to …

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Understanding The Mechanisms By Which Cable Sway Produces Motion Artifact In Mobile Electroencephalography, David Rojas Aug 2023

Understanding The Mechanisms By Which Cable Sway Produces Motion Artifact In Mobile Electroencephalography, David Rojas

Electronic Theses and Dissertations, 2020-2023

Mobile brain/body imaging utilizes electroencephalography (EEG) to record brain activity during human walking in dynamic environments. Motion artifact from cable sway affects the quality of EEG signals collected from the scalp, masking contributions of synchronously firing neurons. Previous studies have explored cable sway-induced motion artifact, but only during vigorous exercise or controlled sinusoidal motion. Therefore, a need remains to further understand the underlying mechanisms of this artifact, as it may help with developing real-time mitigation methods, reducing reliance on offline signal processing. In this thesis, I aimed to show that controlled cable sway could produce specific motion artifact waveforms in …

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Ocr Post-Processing Using Large Language Models, Mahdi Hajiali Aug 2023

Ocr Post-Processing Using Large Language Models, Mahdi Hajiali

UNLV Theses, Dissertations, Professional Papers, and Capstones

Optical Character Recognition (OCR) technology transforms textual visuals into an electronically readable, non-graphical format of the text. This allows the editing and other text manipulation of the content by language technology software such as machine translation, text comprehension, query-answering systems, and search engines. While Optical Character Recognition (OCR) systems continually progress towards greater precision, several complications persist when dealing with low-resolution source images or those with multicolored backgrounds. Consequently, the text derived from OCR necessitates additional refinement to optimize accuracy, beneficial for various subsequent applications. It is recognized that the character accuracy of OCR-generated text may influence certain natural language …

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A Study Of The Performance Of Wind Turbines Fitted With Sprayed Liquid Flaps, Alexander Spitzer Aug 2023

A Study Of The Performance Of Wind Turbines Fitted With Sprayed Liquid Flaps, Alexander Spitzer

Electronic Theses and Dissertations, 2020-2023

Lift generating technologies are often considered a potential solution to increased power generation and reliability within wind turbine design. The Sprayed Liquid Flap (SLF) is a novel active control method that has shown success in providing lift generation on aircraft wings, but its application in the context of rotating flows is unexplored. This research aims to understand the effects of the SLF on a wind turbine and provide a pathway for future exploration of its aerodynamic impacts on rotating flows. Computational Fluid Dynamics with an Euler-Euler multiphase approach is employed to assess the influence of the SLF on a wind …

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Annotation Efficient Visual Recognition: From Semi-Supervised To Few-Shot Learning, Mamshad Nayeem Rizve Aug 2023

Annotation Efficient Visual Recognition: From Semi-Supervised To Few-Shot Learning, Mamshad Nayeem Rizve

Electronic Theses and Dissertations, 2020-2023

In recent years, supervised deep learning has achieved remarkable success in solving a wide range of visual recognition problems. Large-scale labeled datasets have been crucial for this success and the progress has primarily been limited to controlled environments. In this dissertation, we present methods to improve the annotation efficiency of deep visual recognition models and also propose methods to improve the performance of annotation-efficient models in unconstrained open-world settings. To address the annotation bottleneck in supervised learning, we introduce a pseudo-labeling framework for semi-supervised learning. While consistency regularization methods dominate the field, they heavily rely on domain-specific data augmentations, limiting …

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Improving Basic Cadet Training For Changing Environment: Case Study At The Korea Air Force Academy, Yoojin Kwon Aug 2023

Improving Basic Cadet Training For Changing Environment: Case Study At The Korea Air Force Academy, Yoojin Kwon

Electronic Theses and Dissertations, 2020-2023

Increasing uncertainty, such as Covid-19 and weather changes, threatens BCT (Basic Cadet Training) at ROKAFA (Republic of Korea Air Force Academy). In preparation for the changing and adverse environment, this study carried out the following steps to propose a system improvement utilizing LVC (Live, Virtual, Constructive) in BCT system at ROKAFA; 1) Researching the examples of BCT and LVC by advanced countries, 2) Analyzing BCT (ROKAFA) through systems approach (document analysis, survey of 140 cadets and officers, written interviews with military experts), 3) Applying LVC to BCT. BCT is a vital step in the transition from civilian to military status …

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Planeswalking: Magic: The Gathering Across Analog And Digital Platforms, Jack Murray Aug 2023

Planeswalking: Magic: The Gathering Across Analog And Digital Platforms, Jack Murray

Electronic Theses and Dissertations, 2020-2023

This dissertation analyzes the relationship between Wizards of the Coast's trading card game Magic: The Gathering and its digital adaptations. I used critical technocultural, ludic discourse analysis, and ludic textual analysis to examine the analog trading card game and digital adaptations. I examined an archive of paratextual media including trade magazines, developer blogs, game reviews, and player guides. I chose Magic for its long history, impact on the analog game industry, and the sheer number of adaptations that have been produced. This analysis begins by introducing a method for describing analog to digital adaptations called Adaptation Mapping. Adaptation mapping describes …

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A Study On Robustness And Semantic Understanding Of Visual Models, Madeline Chantry Aug 2023

A Study On Robustness And Semantic Understanding Of Visual Models, Madeline Chantry

Electronic Theses and Dissertations, 2020-2023

Vision models have improved in popularity and performance on many tasks since the emergence of large-scale datasets, improved access to computational resources, and new model architectures like the transformer. However, it is still not well understood if these models can be deployed in the real world. Because these models are "blackbox" architectures, we do not fully understand what these models are truly learning. An understanding of what models learn "underneath the hood" would result in better improvements for real-world scenarios. Motivated by this, we benchmark these impressive visual models using newly proposed datasets and tasks on their robustness and their …

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Stochastic Modeling Of Physical Drag Coefficient – Its Impact On Orbit Prediction And Space Traffic Management, Smriti Nandan Paul, Phillip Logan Sheridan, Richard J. Licata, Piyush M. Mehta Aug 2023

Stochastic Modeling Of Physical Drag Coefficient – Its Impact On Orbit Prediction And Space Traffic Management, Smriti Nandan Paul, Phillip Logan Sheridan, Richard J. Licata, Piyush M. Mehta

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Ambitious satellite constellation projects by commercial entities and the ease of access to space in recent times have led to a dramatic proliferation of low-Earth space traffic. It jeopardizes space safety and long-term sustainability, necessitating better space domain awareness (SDA). Correct modeling of uncertainties in force models and orbital states, among other things, is an essential part of SDA. For objects in the low-Earth orbit (LEO) region, the uncertainty in the orbital dynamics mainly emanate from limited knowledge of the atmospheric drag-related parameters and variables. In this paper, which extends the work by Paul et al. (2021), we develop a …

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Optimization Of Alternative Mask Absorber Materials For Euv Lithography, Rajiv Naresh Sejpal Aug 2023

Optimization Of Alternative Mask Absorber Materials For Euv Lithography, Rajiv Naresh Sejpal

Theses

In efforts to continuously scale feature dimensions in semiconductor manufacturing, the industry has moved from refractive optical lithography to reflective extreme ultra-violet lithography (EUVL). The latter provides a significant improvement in the resolution by illuminating mask patterns using 13.5nm source wavelength at oblique chief ray angles (CRA). A typical EUVL mask consists of a multilayer Bragg mirror topped with a 55-70nm Tantalum-based (Ta-based) absorber stack to obtain layout patterns. This current three-dimensional (3D) mask architecture in combination with a small source wavelength and oblique illumination angles results in mask 3D (M3D) effects such light shadowing, pitch dependent best focus variations, …

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Electron Beam Lithography And Dimensional Metrology For Fin And Nanowire Devices On Ge, Sige And Geoi Substrates, Nikolay Petkov, Margarita Georgieva, Sinan Bugu, Ray Duffy, Brendan Mccarthy, Maksym Myronov, Ann-Marie Kelleher, Graeme Maxwell, Giorgos Fagas Aug 2023

Electron Beam Lithography And Dimensional Metrology For Fin And Nanowire Devices On Ge, Sige And Geoi Substrates, Nikolay Petkov, Margarita Georgieva, Sinan Bugu, Ray Duffy, Brendan Mccarthy, Maksym Myronov, Ann-Marie Kelleher, Graeme Maxwell, Giorgos Fagas

Physical Sciences Publications

Until now there is no systematic study on the effect of the substrate type on the hydrogen silsesquioxane (HSQ) electron beam lithography (EBL) patterning process. We investigate arrays of line structures with varying width and spacing, starting at 10 nm, exposed at varying dose, and developed by salty NaOH and TMAH developers on group IV semiconductor substrates. We demonstrate that the HSQ EBL process on Ge is much more limited in achieving the smallest obtainable features, having optimal uniformity and fidelity, in comparison to Si. Monte-Carlo simulations of the e-beam/substrate interactions for “pure” Si and Ge substrates, and varying content …

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Industries Based On The Petrochemical Industry In Iraq-Plastics Industry As A Model, Farah Mohammed Abdel Rahman, Faris Kareem Buraihi Aug 2023

Industries Based On The Petrochemical Industry In Iraq-Plastics Industry As A Model, Farah Mohammed Abdel Rahman, Faris Kareem Buraihi

Journal of Economics and Administrative Sciences

This study came to discuss the subject of industries dependent on petrochemical industries in Iraq (plastic as a model) during the period 2005–2020, and the study concluded that the plastic industries contribute to areas of advancement and progress and opportunities to deal efficiently with the challenges posed by the new variables, the most important of which is the information revolution. communications and trade liberalization, and this is what contributes to the competitiveness of these industries. And because the petrochemical industry in Iraq has an active role in establishing plastic industrial clusters and clusters of micro, small, and medium industries by …

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Power Packet Networks For Wave Energy Converter Arrays, David G. Wilson, Raymond H. Byrne, Steven F. Glover, Tu Anh Nguyen, Rush Robinett, Wayne Weaver, Et. Al Aug 2023

Power Packet Networks For Wave Energy Converter Arrays, David G. Wilson, Raymond H. Byrne, Steven F. Glover, Tu Anh Nguyen, Rush Robinett, Wayne Weaver, Et. Al

Michigan Tech Patents

One of the biggest challenges for all renewable energy sources (RES) is that they are variable power generators which will require reactive power or energy storage systems (ESS) to provide reliable power quality (ideally power factor of one) at the power grid generation side. The present invention is directed to a power packet network (PPN) for integrating wave energy converter (WEC) arrays into microgrids. Specifically, an array of WECs can be physically positioned such that the incoming regular waves will produce an output emulating an N-phase AC system such that the PPN output power is constant. ESS requirements are thereby …

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Hydrogen, Carbon Dioxide, And Methane Adsorption Potential On Jordanian Organic-Rich Source Rocks: Implications For Underground H2 Storage And Retrieval, Amer Alanazi, Hussein Rasool Abid, Muhammad Usman, Muhammad Ali, Alireza Keshavarz, Volker Vahrenkamp, Stefan Iglauer, Hussein Hoteit Aug 2023

Hydrogen, Carbon Dioxide, And Methane Adsorption Potential On Jordanian Organic-Rich Source Rocks: Implications For Underground H2 Storage And Retrieval, Amer Alanazi, Hussein Rasool Abid, Muhammad Usman, Muhammad Ali, Alireza Keshavarz, Volker Vahrenkamp, Stefan Iglauer, Hussein Hoteit

Research outputs 2022 to 2026

Hydrogen (H2) storage in geological formations offers a potential large-scale solution suitable for an industrial-scale hydrogen economy. However, the presence of organic residuals can significantly influence the H2 storage efficiency, as well as cushion gas performance, such as CO2 and CH4, injected to maintain healthy reservoir pressure. Thus, the H2 storage efficiency and cushion gas selectivity were thoroughly investigated in this work based on H2, CO2, and CH4 adsorption measurements using, for the first time, actual organic-rich carbonate-rich Jordanian source rock samples (TOC = 13 % to 18 …

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Performance Comparison Of Low-Cost Sensors Across Six Cities Of Continental United States, Md Hasibul Hasan Aug 2023

Performance Comparison Of Low-Cost Sensors Across Six Cities Of Continental United States, Md Hasibul Hasan

Electronic Theses and Dissertations, 2020-2023

In the field of air quality measurement, low-cost sensors have been extensively used for capturing high-resolution spatial and temporal pollutant concentrations. However, data accuracy and the impact of environmental conditions particularly temperature and relative humidity, remain a significant issue. Careful sensor calibrations against reference instruments are necessary for ensuring data accuracy and validity. This study investigated the effectiveness of multiple calibration methodologies (linear calibration, 3rd order polynomial calibration, and Random Forest, RF) for low-cost air quality sensor calibration across six cities (Atlanta, Portland, Riverside, Sacramento, New York City, and Phoenix) in the United States. The data for this study is …

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Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti Aug 2023

Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti

Electronic Theses and Dissertations, 2020-2023

This dissertation seeks to design an optimization algorithm, based on naturalistic flight data, with emphasis on safety to perform a benefits' analysis when sequencing and scheduling aircraft at the runway. The viability of creating a decision-support tool to aid air traffic controllers in sequencing and optimizing airport operations is evaluated through the benefits' analysis. Air traffic control is a complex and critical system that ensures the safe and efficient movement of aircraft within the airspace. This is particularly true in the immediate vicinity of an airport. Unlike in en-route or terminal area airspace where aircraft usually traverse well established routes …

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Impact Of Geroscience On Therapeutic Strategies For Older Adults With Cardiovascular Disease: Jacc Scientific Statement, James L Kirkland, Elena Volpi, George E Taffet, Nir Barzilai, Ambarish Pandey, Dalane W Kitzman, Peter Libby, Luigi Ferrucci Aug 2023

Impact Of Geroscience On Therapeutic Strategies For Older Adults With Cardiovascular Disease: Jacc Scientific Statement, James L Kirkland, Elena Volpi, George E Taffet, Nir Barzilai, Ambarish Pandey, Dalane W Kitzman, Peter Libby, Luigi Ferrucci

Faculty, Staff and Students Publications

Geroscience posits that cardiovascular disease (CVD) and other chronic diseases result from progressive erosion of the effectiveness of homeostatic mechanisms that oppose age-related accumulation of molecular damage. This hypothetical common root to chronic diseases explains why patients with CVD are often affected by multimorbidity and frailty and why older age negatively affects CVD prognosis and treatment response. Gerotherapeutics enhance resilience mechanisms that counter age-related molecular damage to prevent chronic diseases, frailty, and disability, thereby extending healthspan. Here, we describe the main resilience mechanisms of mammalian aging, with a focus on how they can affect CVD pathophysiology. We next present novel …

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The Impact Of Organizational Innovation Climate On Sustainable Competitive Advantage- Empirical Study, Ibrahim Saleh Hassan, Feras Mohammed Ismaeel Aug 2023

The Impact Of Organizational Innovation Climate On Sustainable Competitive Advantage- Empirical Study, Ibrahim Saleh Hassan, Feras Mohammed Ismaeel

Journal of Economics and Administrative Sciences

The problem of the research is that some companies lack the mechanisms and policies that to enhance the loyalty of these valuable resources, which led to difficulties in generating knowledge, producing, storing, investing and investing information to achieve a sustainable competitive advantage. In addition, companies are still working with the traditional wage system (monthly salaries), which makes people not think about adding value to work. The research aims to determine the level of variables for researchers to clarify the impact of the organizational innovation climate on sustainable competitive advantage. The Qualitative approach is used based on research. The research was …

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Estimating Demand For Imported Food Categories In Iraq, Yaser Yaseen Abdullah, Rezgar Mostafa Mohammed Aug 2023

Estimating Demand For Imported Food Categories In Iraq, Yaser Yaseen Abdullah, Rezgar Mostafa Mohammed

Journal of Economics and Administrative Sciences

Iraq is highly dependent on international markets to provide food for its residents. As imported food prices are highly dependent on crude oil prices in global markets, any shock in oil prices will have an impact on food consumption in the country. As a result, it is essential to study the demand for imported food at every time period. To the best of our knowledge as researchers, as not even a single study is available in the literature, this paper is considered the first to study the demand for imported food groups in Iraq. Therefore, the main objective of this …

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A Neural-Network-Based Landscape Search Engine: Lse Wisconsin, Matthew Haffner, Matthew Dewitte, Papia F. Rozario, Gustavo A. Ovando-Montejo Aug 2023

A Neural-Network-Based Landscape Search Engine: Lse Wisconsin, Matthew Haffner, Matthew Dewitte, Papia F. Rozario, Gustavo A. Ovando-Montejo

Environment and Society Faculty Publications

The task of image retrieval is common in the world of data science and deep learning, but it has received less attention in the field of remote sensing. The authors seek to fill this gap in research through the presentation of a web-based landscape search engine for the US state of Wisconsin. The application allows users to select a location on the map and to find similar locations based on terrain and vegetation characteristics. It utilizes three neural network models—VGG16, ResNet-50, and NasNet—on digital elevation model data, and uses the NDVI mean and standard deviation for comparing vegetation data. The …

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