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Articles 197701 - 197730 of 1108835

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Effect Of Temperature On Abrasion Erosion In Particle Based Concentrating Solar Powerplants, Nipun Goel, Tessa Mei-Lin Fong, John P. Shingledecker, Andrew Russell, Michael W. Keller, Siamack A. Shirazi, Todd Otanicar Aug 2021

Effect Of Temperature On Abrasion Erosion In Particle Based Concentrating Solar Powerplants, Nipun Goel, Tessa Mei-Lin Fong, John P. Shingledecker, Andrew Russell, Michael W. Keller, Siamack A. Shirazi, Todd Otanicar

Mechanical and Biomedical Engineering Faculty Publications and Presentations

The use of solid particles as a heat transfer medium is being explored for concentrated solar power plants (CSP) to increase their efficiency by achieving operating temperature >700 °C. During operation, these hot particles are expected to move along the various components within the collector system, resulting in material degradation from a combination of high-temperature oxidation and erosion. In the present study, the performance of candidate materials was evaluated through a series of abrasion erosion experiments at room temperature as well as at 800 °C. Wear in metallic and refractory type materials was investigated using CarboBead® HSP 40/70 particles inside …

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Design, Synthesis, And Evaluation Of A Novel Cytotoxic Peptide-Doxorubicin Conjugate Targeting Triple-Negative Breast Cancer, Elmira Ziaei Aug 2021

Design, Synthesis, And Evaluation Of A Novel Cytotoxic Peptide-Doxorubicin Conjugate Targeting Triple-Negative Breast Cancer, Elmira Ziaei

Pharmaceutical Sciences (PhD) Dissertations

The aim of this thesis was to design, synthesize, and characterize a novel peptide-doxorubicin conjugate, evaluate in vitro stability and cytotoxicity properties of the conjugate and study its mechanism for uptake into the triple-negative breast cancer (TNBC) cells. For the synthesis of the conjugate, first, doxorubicin (Dox) was conjugated to a highly efficient established cross-linker, MCC, to give an intermediate product, MCC-Dox. MCC-Dox was characterized using NMR spectroscopy, mass spectrometry, and RP-HPLC and purified for subsequent reaction. Second, the 11-mer peptide 18-4 (NH2-CWxEAAYQrFL-CONH2) with high proteolytic stability and specificity for breast cancer cells was reacted with …

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A Pan-Canadian Validation Study For The Detection Of Egfr T790m Mutation Using Circulating Tumor Dna From Peripheral Blood, Shamini Selvarajah, Sophie Plante, Marsha Speevak, Andrea Vaags, Darren Hamelinck, Martin Butcher, Elizabeth Mccready, Daria Grafodatskaya, Normand Blais, Danh Tran-Thanh, Xiaoduan Weng, Rami Nassabein, Wenda Greer, Ryan N. Walton, Bryan Lo, Doug Demetrick, Stephanie Santos, Bekim Sadikovic, Xiao Zhang, Tong Zhang, Tara Spence, Tracy Stockley, Harriet Feilotter, Philippe Joubert Aug 2021

A Pan-Canadian Validation Study For The Detection Of Egfr T790m Mutation Using Circulating Tumor Dna From Peripheral Blood, Shamini Selvarajah, Sophie Plante, Marsha Speevak, Andrea Vaags, Darren Hamelinck, Martin Butcher, Elizabeth Mccready, Daria Grafodatskaya, Normand Blais, Danh Tran-Thanh, Xiaoduan Weng, Rami Nassabein, Wenda Greer, Ryan N. Walton, Bryan Lo, Doug Demetrick, Stephanie Santos, Bekim Sadikovic, Xiao Zhang, Tong Zhang, Tara Spence, Tracy Stockley, Harriet Feilotter, Philippe Joubert

Paediatrics Publications

Introduction: Genotyping circulating tumor DNA (ctDNA) is a promising noninvasive clinical tool to identify the EGFR T790M resistance mutation in patients with advanced NSCLC with resistance to EGFR inhibitors. To facilitate standardization and clinical adoption of ctDNA testing across Canada, we developed a 2-phase multicenter study to standardize T790M mutation detection using plasma ctDNA testing. Methods: In phase 1, commercial reference standards were distributed to participating clinical laboratories, to use their existing platforms for mutation detection. Baseline performance characteristics were established using known and blinded engineered plasma samples spiked with predetermined concentrations of T790M, L858R, and exon 19 deletion variants. …

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The Effect Of Price-Based Demand Response On Carbon Emissions In European Electricity Markets: The Importance Of Adequate Carbon Prices, Markus Fleschutz, Markus Bohlayer, Marco Braun, Gregor Henze, Michael D. Murphy Aug 2021

The Effect Of Price-Based Demand Response On Carbon Emissions In European Electricity Markets: The Importance Of Adequate Carbon Prices, Markus Fleschutz, Markus Bohlayer, Marco Braun, Gregor Henze, Michael D. Murphy

Publications

Price-based demand response (PBDR) has recently been attributed great economic but also environmental potential. However, the determination of its short-term effects on carbon emissions requires the knowledge of marginal emission factors (MEFs), which compared to grid mix emission factors (XEFs), are cumbersome to calculate due to the complex characteristics of national electricity markets. This study, therefore, proposes two merit order-based methods to approximate hourly MEFs and applies them to readily available datasets from 20 European countries for the years 2017–2019. Based on the calculated electricity prices, standardized daily load shifts were simulated which indicated that carbon emissions increased for 8 …

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Estimating School-Level Effects Of Mandatory Student Grade Retention Policies Using Latent Growth Curve Modeling, Matthew Koziol Aug 2021

Estimating School-Level Effects Of Mandatory Student Grade Retention Policies Using Latent Growth Curve Modeling, Matthew Koziol

Dissertations

Mandatory grade retention for poor-performing readers has been a disputed practice for decades. Since the early-2000s, state-level mandatory grade retention policies have proliferated. In 18 states and Washington, D.C. mandatory grade retention exists for students in the third grade who fail an end-of-year standardized reading exam. These policies are based on research that suggests students who do not read by the third-grade are at much greater risk of dropping out of school prior to receiving a high-school degree. Mandatory grade retention policies use a gatekeeper mechanism at the end of the third grade to ensure that students who are not …

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The Role Of International Law In The Food–Energy–Water Nexus, Waseem Ahmad Qureshi Aug 2021

The Role Of International Law In The Food–Energy–Water Nexus, Waseem Ahmad Qureshi

Buffalo Environmental Law Journal

The current relationship of water, food, and energy is deeply entangled as it functions within different sectors, such as industry and agriculture, the latter of which water is essential for irrigating crops. Similarly, adequate water storage facilities are also required for hydroelectricity generation. Moreover, in many regions, electrical energy is used to operate tube wells for extracting groundwater to irrigate crops for food. Within the intricate nature of the mutual relationship of water, energy, and food, each plays its role in ensuring the security of the others. For instance, both energy security and food security are dependent upon water security, …

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Muddying The Waters: The Need For More Clarity Under The Clean Water Act, Georgia D. Reid Aug 2021

Muddying The Waters: The Need For More Clarity Under The Clean Water Act, Georgia D. Reid

Buffalo Environmental Law Journal

No abstract provided.

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Predict Trend Of Unemployment Rate By Observing The Nasdaq Composite Index Using Hidden Markov Model, Li Liu Aug 2021

Predict Trend Of Unemployment Rate By Observing The Nasdaq Composite Index Using Hidden Markov Model, Li Liu

Master's Theses

In this paper, we present how to use Hidden Markov Models (HMM) to predict the change in Unemployment Rate. By observing the NASDAQ price difference, we will predict the Unemployment Rate will rise or fall in the next month using the Hidden Markov Model. We will use the NASDAQ price and the unemployment rate from 2016 to 2020 monthly data for this paper. When we check the relation between the NASDAQ price and the unemployment rate, we find out that whenever the NASDAQ price goes up, the unemployment rate will drop for a time. So we are interested in how …

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Epileptogenesis In Rodents Leads To Neural System Dysfunction And Loss Of Associative Memory Measured By Auditory Event Related Potentials., Sai Mohan Rudrashetty Aug 2021

Epileptogenesis In Rodents Leads To Neural System Dysfunction And Loss Of Associative Memory Measured By Auditory Event Related Potentials., Sai Mohan Rudrashetty

Doctoral Dissertations

Epilepsy is a common and disabling neurological condition affecting 1-2% of the world’s population. Individuals suffering from epilepsy are prone to cognitive dysfunctions with detrimental effects in neural processing and memory resulting in decreases in quality of life. An evaluation of inherent neural processes is valuable information to diagnose and clinically assess cognitive function, which could significantly improve the treatment possibilities and thereby the quality of life for epilepsy patients.

An evaluation of cognitive functions during epileptogenesis was performed by experiments using auditory event related potentials (ERP) in rats before and after induction of status epilepticus (SE) using the Lithium-Pilocarpine …

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Firm Performance In The Era Of Big Data Analytics: The Effects Of Analytical Human Capital On Firm Capabilities And Performance, Rajiv Dahiya Aug 2021

Firm Performance In The Era Of Big Data Analytics: The Effects Of Analytical Human Capital On Firm Capabilities And Performance, Rajiv Dahiya

Doctoral Dissertations

The Big Data phenomenon has revolutionized the way firms do business by providing immense opportunities for valuable business insights from large amounts of data. Big data analytics (BDA) has emerged as one of the top technology investment areas as firms consider it a significant impetus for superior firm performance. However, many firms adopting BDA find it challenging to gain an advantage from their BDA investments. Scholars note the need to further understand the factors and mechanisms of BDA success. Some anecdotal evidence has indicated that a critical barrier to BDA success may be the lack of a necessary workforce with …

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Raj Soin College Of Business Newsletter - August 2021, Raj Soin College Of Business, Wright State University Aug 2021

Raj Soin College Of Business Newsletter - August 2021, Raj Soin College Of Business, Wright State University

Raj Soin College of Business Newsletter

A five page newsletter created by the Raj Soin College of Business at Wright State University. This newsletter includes a upcoming events, message from the dean, and more.

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Clemson Commencement Program, August 2021, Clemson University Aug 2021

Clemson Commencement Program, August 2021, Clemson University

Clemson Commencement Programs

No abstract provided.

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Seeing The Tress For The Forest: An Analysis Of Novice And Experienced Teachers' Self-Efficacy And Stress, Allison Serceki Aug 2021

Seeing The Tress For The Forest: An Analysis Of Novice And Experienced Teachers' Self-Efficacy And Stress, Allison Serceki

Education (PhD) Dissertations

The purpose of this study was to better understand the relationship between novice teachers’ context-specific self-efficacies and stresses and whether these constructs differed from the self-efficacies and stresses of experienced teachers in middle school and early high school. Novice teachers, or teachers in their first 5 years of teaching, are most susceptible to attrition and turnover, which research indicated is sometimes brought on by stress. Research also showed self-efficacy consistently had a negative correlation to stress. This study used the second-hand dataset obtained from the Teaching and Learning International Survey, focusing on 2560 responses obtained from teachers in the United …

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An Examination Of Chinese Undergraduates’ Contemplativity And Academic Stress, Ran Tao Aug 2021

An Examination Of Chinese Undergraduates’ Contemplativity And Academic Stress, Ran Tao

Education (PhD) Dissertations

China has advanced considerably in many fields, which has led to fierce competition among its people. College students are no exception as this competition has brought tremendous academic stress that affects academic performance. Western scholars and researchers found contemplative practice (CP) was helpful to reduce students’ educational stress and improve their study performance. However, no literature was found regarding the potential impact of CP on undergraduates in China, nor was any literature discovered concerning potential differences between genders or academic emphases on students’ conceptions of CP and collegiate stress. The purpose of this study was to fill the gap by …

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Incorporation Of Glycyl-L-Histidyl-L-Lysine (Ghk) With Metalized Halloysites For Tissue Regeneration, Christopher Cameron Miller Aug 2021

Incorporation Of Glycyl-L-Histidyl-L-Lysine (Ghk) With Metalized Halloysites For Tissue Regeneration, Christopher Cameron Miller

Doctoral Dissertations

Human adipose stem cells (hASCs) provide a research tool for regenerative medicine in various capacities. There are major research needs for new therapies for bone-related diseases such as osteoporosis, osteomyelitis, and severe trauma. Human ASCs can self-renew for extended durations outside of the body and provide an ideal platform to study therapeutics for the formation of bone-specific modalities or wound healing applications.

Combining hASCs with nanomaterials is a growing area of research that requires additional studies. Halloysites (HNTs) are hollow aluminosilicate nanotubes with an exterior negative charge and a positively charged lumen. HNTs have demonstrated biocompatibility in cell and animal-based …

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In Vivo And In Vitro Expression And Interaction Of The Mediator Kinase Module Subunits During Adipogenesis, Sree Lakshmi Venigalla Aug 2021

In Vivo And In Vitro Expression And Interaction Of The Mediator Kinase Module Subunits During Adipogenesis, Sree Lakshmi Venigalla

Doctoral Dissertations

Selective gene expression is crucial in maintaining the self-renewing and differential potential of stem cells. Especially differentiation process requires a constellation of proteins that regulate expression of genes necessary for differentiation towards a specific lineage. Adipogenesis is a process of formation of mature fat cells from precursor cells that is tightly regulated by a number of transcription factors and their cofactors. Dysregulation in the process often leads to metabolic disorders, which is common due to prevalence of obesity. Mediator is a large, evolutionarily conserved, multi-subunit protein complex that functions as a transcriptional coactivator that modulates gene expression by relaying signals …

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The Best Children's Books Of The Year [2021 Edition], Bank Street College Of Education. Children's Book Committee Aug 2021

The Best Children's Books Of The Year [2021 Edition], Bank Street College Of Education. Children's Book Committee

The Center for Children's Literature

Includes more than 600 titles chosen by the Children’s Book Committee as the best of the best published in 2020. In choosing books for the annual list, committee members consider literary quality and excellence of presentation as well as the potential emotional impact of the books on young readers. Other criteria include credibility of characterization and plot, authenticity of time and place, age suitability, positive treatment of ethnic and religious differences, and the absence of stereotypes.

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Cytokines: From Clinical Significance To Quantification, Chao Liu, Dewei Chu, Kourosh Kalantar-Zadeh, Jacob George, Howard A. Young, Guozhen Liu Aug 2021

Cytokines: From Clinical Significance To Quantification, Chao Liu, Dewei Chu, Kourosh Kalantar-Zadeh, Jacob George, Howard A. Young, Guozhen Liu

United States Public Health Resources

Cytokines are critical mediators that oversee and regulate immune and inflammatory responses via complex networks and serve as biomarkers for many diseases. Quantification of cytokines has significant value in both clinical medicine and biology as the levels provide insights into physiological and pathological processes and can be used to aid diagnosis and treatment. Cytokines and their clinical significance are introduced from the perspective of their pro- and anti-inflammatory effects. Factors affecting cytokines quantification in biological fluids, native levels in different body fluids, sample processing and storage conditions, sensitivity to freeze-thaw, and soluble cytokine receptors are discussed. In addition, recent advances …

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What Is The Effect Of Physical Activity On The Reduction Of Macrovascular Complications In Patients Diagnosed With Type 2 Diabetes Mellitus?, Rachael M. Gordon Aug 2021

What Is The Effect Of Physical Activity On The Reduction Of Macrovascular Complications In Patients Diagnosed With Type 2 Diabetes Mellitus?, Rachael M. Gordon

Theses and Graduate Projects

The increasing prevalence and healthcare burden of type 2 diabetes is a worldwide concern. It is the seventh leading cause of mortality and a significant cause of morbidity. While both the macrovascular and microvascular complications of diabetes can have a profound impact on overall health and quality of life, cardiovascular events are the leading cause of mortality in patients with type 2 diabetes. Adults with diabetes have a two to four-fold increased risk of cerebrovascular events and myocardial infarctions. Oral medications combat insulin resistance and aid in the control of hemoglobin A1c, blood pressure, and cholesterol, therefore, contributing to a …

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Our Experience Of Mega-Prosthesis In Bone Tumours: A Retrospective Cross-Sectional Study In A Tertiary Care Hospital, Masood Umer, Eraj Khurshid Khan, Javeria Saeed Aug 2021

Our Experience Of Mega-Prosthesis In Bone Tumours: A Retrospective Cross-Sectional Study In A Tertiary Care Hospital, Masood Umer, Eraj Khurshid Khan, Javeria Saeed

Section of Orthopaedic Surgery

Objective: To evaluate the oncological and functional outcomes of bone tumour patients who underwent reconstruction with mega prosthesis.
Methodology: A retrospective study was conducted in the department of Orthopaedics Aga Khan University Hospital, Karachi. All the paediatric and adult age group patients diagnosed with malignant, benign and metastatic bone tumours and meeting the inclusion criteria were selected and analysed. Retrospective data was collected from January 2008-January 2018.
Results: Sixty-two patients, 30 (48.4%) females and 32 (51.6%) males. were included in the study. Of these 57 (92%) cases had involvement of the lower limb. The mean age was 36.95±19.1 years with …

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Representation And Strategy Learning For Variable-Size Tree Transformation Using Reinforcement Learning, Shirin Hosseini Shirvani Aug 2021

Representation And Strategy Learning For Variable-Size Tree Transformation Using Reinforcement Learning, Shirin Hosseini Shirvani

Computer Science and Engineering Dissertations - Archive

Trees as acyclic graphs are ubiquitous in representing different context where they encode connectivity patterns at all scales of organization, from biological systems to social networks. Trees are powerful resources which have been used many times for the exploration and discovery of interactions and properties in different context. Tree data structure representation approaches have led to remarkable discoveries in different real-world applications. In the last decades, extensive research and algorithms have been developed on tree or acyclic graph data structures with deep theoretical properties. The cost of solving these various problems ranges from simple linear time algorithms, to more complex …

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On The Efficacy Of Knowledge Graph Completion Methods, Accuracy Measures And Evaluation Protocols, Farahnaz Akrami Aug 2021

On The Efficacy Of Knowledge Graph Completion Methods, Accuracy Measures And Evaluation Protocols, Farahnaz Akrami

Computer Science and Engineering Dissertations - Archive

In the active research area of employing embedding models for knowledge graph completion, particularly for the task of link prediction, most prior studies used some specific benchmark datasets to evaluate such models. Most triples in those datasets belong to reverse and duplicate relations, which exhibit high data redundancy due to semantic duplication, correlation, or data incompleteness. This is a case of excessive data leakage—a model is trained using features that otherwise would not be available when the model needs to be applied for real prediction. There are also Cartesian product relations for which every triple formed by the Cartesian product …

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Macromodeling And Accelerated Simulations Of Electric Machines, Ajay Pratap Yadav Aug 2021

Macromodeling And Accelerated Simulations Of Electric Machines, Ajay Pratap Yadav

Electrical Engineering Dissertations - Archive

Electric machines are the most important element in the power grid. Given its centennial legacy and the rise of electric vehicles and distributed energy resources, it is imperative to bring new technologies into this area. This work tries to bridge the gap between electric machines and innovative research domains such as convex optimization and FPGA-based hardware acceleration. Problems of electric machine parameter identification and real-time simulation are considered. A convex optimization-based framework is designed to identify machine parameters. This tool is used to perform the macromodeling of a synchronous machine from its magnetic-equivalent circuit model. Furthermore, it is used to …

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Decoupling-Based Approach To Centrality Detection In Heterogeneous Multilayer Networks, Kiran Mukunda Aug 2021

Decoupling-Based Approach To Centrality Detection In Heterogeneous Multilayer Networks, Kiran Mukunda

Computer Science and Engineering Theses - Archive

Graph analysis is one of the techniques widely used for data analysis. It is used extensively on single graphs. Its ability to capture entities and relationships makes it an attractive data model. Search on graphs, such as finding triangles, cliques, shortest paths, etc., and aggregate analysis, such as communities, substructure, or centrality measures have well-defined algorithms for single graphs. The centrality measure, which is the focus of this thesis, identifies the most important nodes in a graph or network. While there are many centrality measures, the most commonly used ones are degree and betweenness centrality. Algorithms for analyzing these measures …

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Amorphous Silica Based Biomaterials For Musculoskeletal Tissue Regeneration Applications, Kamal Awad Aug 2021

Amorphous Silica Based Biomaterials For Musculoskeletal Tissue Regeneration Applications, Kamal Awad

Material Science and Engineering Dissertations - Archive

Musculoskeletal (MSK) injury includes any injuries that affect the bones, muscles, ligaments, tendons, or nerves. Open bone fracture is one of the common types of MSK traumatic injuries which results in not only bone fracture but also damage/loss of associated muscles, nerve, vasculature, endothelium, periosteum, fascia, and connective tissue. Surgical procedures and biological interventions are required to fix the broken bone, and muscle transfer is performed to compensate the skeletal muscle defects. Current treatments include fixative metal implants and regenerative biopolymer scaffolds, then muscle flap procedures to cover the bone. Yet, these treatments are inadequate because the used materials do …

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Stress Analysis Of Functionally Graded Materials, Nilabh Krishna Aug 2021

Stress Analysis Of Functionally Graded Materials, Nilabh Krishna

Mechanical and Aerospace Engineering Dissertations - Archive

A functionally graded material (FGM) is an inhomogeneous material whose material properties vary continuously. Since FGM’s material properties are continuous at the interface of the two materials, unlike conventional composites whose material properties are discontinuous at the interface, it is best suited to prevent catastrophically failure, stress concentration, and residual stresses. Literature reviews revealed that most of the research on FGMs was a 2-D analysis, especially on FGM plates and beams. This research focuses on 3-D stress analysis for an elastic medium that contains a spherical inclusion made of an FGM embedded in a matrix phase. To the best of …

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Effect Of Thermal Conductivity, Reynolds Number, Aspect Ratio And Packing Arrangement On Radial Heat Transfer In Packed Beds, Nishith Gorla Aug 2021

Effect Of Thermal Conductivity, Reynolds Number, Aspect Ratio And Packing Arrangement On Radial Heat Transfer In Packed Beds, Nishith Gorla

Mechanical and Aerospace Engineering Dissertations - Archive

The key motivation for this research is to study heat transfer developments in packed beds. The radial heat transfer enhancement of a packed bed in the laminar flow region is one of the major areas of ongoing research in mechanical, aerospace and chemical industries, especially the response of a packed bed during conjugate heat transfer with the fluid-solid interaction. This computational study focuses on the impact of packing size, thermal conductivity, and arrangement on the radial heat transfer performance as a function of Reynolds number. A simple annular tube packed with circles (2D) and spheres (3D) is utilized for this …

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Modeling The Effect Of In Situ Nozzle-Integrated Compression Rolling On The Mechanical And Fracture Behavior Of Fused Filament Fabrication (Fff) 3d Printed Parts, Momen Mohammad Qasaimeh Aug 2021

Modeling The Effect Of In Situ Nozzle-Integrated Compression Rolling On The Mechanical And Fracture Behavior Of Fused Filament Fabrication (Fff) 3d Printed Parts, Momen Mohammad Qasaimeh

Mechanical and Aerospace Engineering Dissertations - Archive

Fused filament fabrication (FFF) is one of the most common additive manufacturing/3D printing techniques where continuously extruded semi-molten filaments are deposited in a layer-by-layer manner. The quality of the manufactured part depends on some major factors such as filament-filament contact and adhesion as well as the void fraction. Filament to filament adhesion affects the part strength under transverse load. In our earlier work, we studied the effect of in situ ball rolling on the thermal and mechanical properties of the printed parts. It was found that when printing/rolling parameters are correctly tuned and in situ compression rolling is appropriately applied …

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Set-Theoretic Frameworks For Online Optimization, Estimation, And Control, Dignata Bhattacharjee Aug 2021

Set-Theoretic Frameworks For Online Optimization, Estimation, And Control, Dignata Bhattacharjee

Mechanical and Aerospace Engineering Dissertations - Archive

This research is primarily focused on developing online frameworks, which are suited to real-time implementation, for performance optimization, estimation, and control of dynamical systems using set-theoretic concepts and/or having set-theoretic interpretations. First, two perturbation-based extremum seeking control schemes, based on the classical setup and equipped with novel adaptation laws for the perturbation signal amplitudes, are proposed for general single input single output nonlinear systems. The proposed schemes are able to extremize steady-state system output in a practical asymptotic sense, i.e., the system is driven to an arbitrarily small set centered at the true steady-state optimal operating point. The next development …

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Uncertainty Propagation, Control, And Estimation Of Stochastic Dynamic Systems Using Generalized Polynomial Chaos Expansion, Rajnish Bhusal Aug 2021

Uncertainty Propagation, Control, And Estimation Of Stochastic Dynamic Systems Using Generalized Polynomial Chaos Expansion, Rajnish Bhusal

Mechanical and Aerospace Engineering Dissertations - Archive

In recent years, uncertainty propagation has emerged as an important research area in the field of dynamical systems. The growing interest in this area arises out of the need to develop computationally efficient approaches to predict the evolution of a system subject to uncertainties. To this end, this dissertation is focused on developing computational frameworks for uncertainty propagation, control, and state estimation of stochastic dynamical systems using the generalized polynomial chaos (gPC) expansion technique. In the first part of this dissertation, the construction of gPC expansion is presented in general. The novelty of this dissertation lies in developing a mixed …

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