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Recovering Untold Stories: Everyday Lives Of Women In Republican Istanbul, 1930-1960, Zehra Betul Atasoy
Recovering Untold Stories: Everyday Lives Of Women In Republican Istanbul, 1930-1960, Zehra Betul Atasoy
Dissertations
This research explores the everyday lives of urban women from various social strata in Istanbul between 1930 and 1960. It designates the implications of the Republican reforms in urban spaces and concentrates on untold stories of women who belonged to varying social settings and professions. The everyday life of the city became more complex with the increase in participation of women during these decades. This research examines the myriad ways in which women asserted themselves in the urban fabric, following three threads. First, women's leisure and economic activities in the newly built public squares are investigated. Then, industrial workers and …
Molecular Mechanism Of Cyanobacteria Circadian Clock Oscillator And Effect Of Co Factors On Its Oscillation, Manpreet Kaur
Molecular Mechanism Of Cyanobacteria Circadian Clock Oscillator And Effect Of Co Factors On Its Oscillation, Manpreet Kaur
Dissertations
The circadian rhythms arise as an adaptation to the environmental 24-hour day and night cycle due to Earth's rotation. These rhythms prepare organisms to align their internal biological activities and day to day behavior or events with the environmental change of the 24-hour day and night cycle. Circadian rhythms are found widely in all living kingdoms of life on Earth. Cyanobacteria are photosynthetic prokaryotes which first used to study these circadian rhythms. Among cyanobacterial species, Synechococcus elongatus PCC 7942 (henceforth, S. Elongatus) is the simplest organism with a durable and sturdy circadian clock and is study as a model organism. …
Coordination, Adaptation, And Complexity In Decision Fusion, Weiqiang Dong
Coordination, Adaptation, And Complexity In Decision Fusion, Weiqiang Dong
Dissertations
A parallel decentralized binary decision fusion architecture employs a bank of local detectors (LDs) that access a commonly-observed phenomenon. The system makes a binary decision about the phenomenon, accepting one of two hypotheses (H0 (“absent”) or H1 (“present”)). The k 1 LD uses a local decision rule to compress its local observations yk into a binary local decision uk; uk = 0 if the k 1 LD accepts H0 and uk = 1 if it accepts H1. The k 1 LD sends its decision uk over a noiseless dedicated channel to a Data Fusion Center (DFC). The DFC combines the …
Development Of Novel Inks And Approaches For Printing Tissues And Organs, Shen Ji
Development Of Novel Inks And Approaches For Printing Tissues And Organs, Shen Ji
Dissertations
Tissue engineering is a multidisciplinary field that investigates and develops new methods to repair, regenerate and replace damaged tissues and organs, or to develop biomaterial platforms as in vitro models. Tissue engineering approaches require the fabrication of scaffolds using biomaterials or fabrication of living tissues using cells. As the demands of customized, implantable tissue/organs are increasing and becoming more urgent, conventional scaffold fabrication approaches are difficult to meet the requirements, especially for complex large-scale tissue fabrication. In this regard, three-dimensional (3D) printing attracted more interest over the past decades due to its unrivaled ability to fabricate highly customized tissues or …
Drone-Assisted Emergency Communications, Di Wu
Drone-Assisted Emergency Communications, Di Wu
Dissertations
Drone-mounted base stations (DBSs) have been proposed to extend coverage and improve communications between mobile users (MUs) and their corresponding macro base stations (MBSs). Different from the base stations on the ground, DBSs can flexibly fly over and close to MUs to establish a better vantage for communications. Thus, the pathloss between a DBS and an MU can be much smaller than that between the MU and MBS. In addition, by hovering in the air, the DBS can likely establish a Line-of-Sight link to the MBS. DBSs can be leveraged to recover communications in a large natural disaster struck area …
A Deep Machine Learning Approach For Predicting Freeway Work Zone Delay Using Big Data, Abdullah Shabarek
A Deep Machine Learning Approach For Predicting Freeway Work Zone Delay Using Big Data, Abdullah Shabarek
Dissertations
The introduction of deep learning and big data analytics may significantly elevate the performance of traffic speed prediction. Work zones become one of the most critical factors causing congestion impact, which reduces the mobility as well as traffic safety. A comprehensive literature review on existing work zone delay prediction models (i.e., parametric, simulation and non-parametric models) is conducted in this research. The research shows the limitations of each model. Moreover, most previous modeling approaches did not consider user delay for connected freeways when predicting traffic speed under work zone conditions. This research proposes Deep Artificial Neural Network (Deep ANN) and …
Human-Robot Interaction For Assistive Robotics, Jiawei Li
Human-Robot Interaction For Assistive Robotics, Jiawei Li
Dissertations
This dissertation presents an in-depth study of human-robot interaction (HRI) withapplication to assistive robotics. In various studies, dexterous in-hand manipulation is included, assistive robots for Sit-To-stand (STS) assistance along with the human intention estimation. In Chapter 1, the background and issues of HRI are explicitly discussed. In Chapter 2, the literature review introduces the recent state-of-the-art research on HRI, such as physical Human-Robot Interaction (HRI), robot STS assistance, dexterous in hand manipulation and human intention estimation. In Chapter 3, various models and control algorithms are described in detail. Chapter 4 introduces the research equipment. Chapter 5 presents innovative theories and …
Experiments And Modeling Of The Chemo-Mechanically Coupled Behavior Of Polymeric Gels, Nikola Bosnjak
Experiments And Modeling Of The Chemo-Mechanically Coupled Behavior Of Polymeric Gels, Nikola Bosnjak
Dissertations
Polymeric materials consist of mutually entangled or chemically crosslinked long njitmolecular chains which form a polymer network. Due to their molecular structure, the njitpolymeric materials are known to undergo large deformation in response to various njitenvironmental stimuli, such as temperature, chemical potential and light.
When a polymer network is exposed to a suitable chemical solvent, the solvent molecules are able to diffuse inside the network, causing it to undergo a large volumetric deformation, known as swelling. In addition to volumetric deformation, this process involves the chemical mixing of the polymer network and solvent molecules, and is typically environmentally responsive. A …
High-Speed Rail Safety Analysis Based On Dual-Weighted Complex Network, Liu Lv
High-Speed Rail Safety Analysis Based On Dual-Weighted Complex Network, Liu Lv
Dissertations
This study uses a complex network model to analyze the causes of accidents in high-speed railway operations. By identifying the key factors that led to high-speed railway accidents, hidden safety hazards were discovered. This will help improve the operational safety of the U.S. high-speed rail line under construction.
The analysis uses the regional high-speed railway network in Guangzhou, China as a case study, including the railway (including high-speed railway) accidents that occurred in the company's jurisdiction from 2013 to 2017. With comparative analysis between general railways and high-speed railways, the changes of high-speed railway safety factors are explored. Data analysis …
Supporting User Interaction And Social Relationship Formation In A Collaborative Online Shopping Context, Yu Xu
Dissertations
The combination of online shopping and social media allow people with similar shopping interests and experiences to share, comment, and discuss about shopping from anywhere and at any time, which also leads to the emergence of online shopping communities. Today, more people turn to online platforms to share their opinions about products, solicit various opinions from their friends, family members, and other customers, and have fun through interactions with others with similar interests. This dissertation explores how collaborative online shopping presents itself as a context and platform for users' interpersonal interactions and social relationship formation through a series of studies. …
Dances And Escape Of The Vortex Quartet, Brandon Behring
Dances And Escape Of The Vortex Quartet, Brandon Behring
Dissertations
This dissertation considers the linear stability of a one-parameter family of periodic solutions of the four-vortex problem known as 'leapfrogging' orbits. These solutions, which consist of two pairs of identical yet oppositely-signed vortices, were known to W. Gröbli (1877) and A. E. H. Love (1883) and can be parameterized by a dimensionless parameter related to the geometry of the initial configuration. Simulations by Acheson and numerical Floquet analysis by Tophøj and Aref both indicate, to many digits, that the bifurcation occurs at a value related to the inverse square of the golen ratio. Acheson observed that, after an initial period …
Online Fulfillment: F-Warehouse Order Consolidation And Bops Store Picking Problems, Wen Zhu
Online Fulfillment: F-Warehouse Order Consolidation And Bops Store Picking Problems, Wen Zhu
Dissertations
Fulfillment of online retail orders is a critical challenge for retailers since the legacy infrastructure and control methods are ill suited for online retail. The primary performance goal of online fulfillment is speed or fast fulfillment, requiring received orders to be shipped or ready for pickup within a few hours. Several novel numerical problems characterize fast fulfillment operations and this research solves two such problems. Order fulfillment warehouses (F-Warehouses) are a critical component of the physical internet behind online retail supply chains. Two key distinguishing features of an F-Warehouse are (i) Explosive Storage Policy – A unique item can be …
Characterizing Reactive Iron Mineral Coatings And Their Roles In Natural Attenuation At A Site With Historical Contamination, Han Hua
Dissertations
Reactive iron mineral coatings in redox transition zones play an important role in contaminant attenuation. These mineral coatings include poorly crystalline to crystalline iron sulfides, carbonates, and oxyhydroxides, and are a signature of the biogeochemical processes occurring. To better understand these processes, reactive iron mineral coatings are characterized in an 18-m Anaerobic Core collected from a contaminated industrial site. This study targets redox transition zones uncovered in the core. A suite of complementary analyses is applied to distinguish the surface coating mineralogy using X-ray Diffraction, X-ray fluorescence, and field-emission scanning electron microscopy (FESEM) with energy dispersive X-ray analyzer (EDX). In …
The Aging And Impacts Of Atmospheric Soot: Closing The Gap Between Experiments And Models, Ogochukwu Yvonne Enekwizu
The Aging And Impacts Of Atmospheric Soot: Closing The Gap Between Experiments And Models, Ogochukwu Yvonne Enekwizu
Dissertations
The main goal of this dissertation is to generate data and parameterizations to accurately represent soot aerosols in atmospheric models. Soot from incomplete combustion of fossil fuels and biomass burning is a major air pollutant and a significant contributor to climate warming. The environmental impacts of soot are strongly dependent on the particle morphology and mixing state, which evolve continuously during atmospheric transport via a process known as aging. To make predictions of soot impacts on the environment, most atmospheric models adopt simplifications of particle structure and mixing state, which lead to substantial uncertainties. Using an experimentally constrained modeling approach, …
Performance Optimization Of Big Data Computing Workflows For Batch And Stream Data Processing In Multi-Clouds, Huiyan Cao
Dissertations
Workflow techniques have been widely used as a major computing solution in many science domains. With the rapid deployment of cloud infrastructures around the globe and the economic benefits of cloud-based computing and storage services, an increasing number of scientific workflows have migrated or are in active transition to clouds. As the scale of scientific applications continues to grow, it is now common to deploy various data- and network-intensive computing workflows such as serial computing workflows, MapReduce/Spark-based workflows, and Storm-based stream data processing workflows in multi-cloud environments, where inter-cloud data transfer oftentimes plays a significant role in both workflow performance …
The Stability Of Nanobubbles And Its Application In Contaminated Sediment Treatment, Shaini Dilsha Aluthgun Hewage
The Stability Of Nanobubbles And Its Application In Contaminated Sediment Treatment, Shaini Dilsha Aluthgun Hewage
Dissertations
This dissertation consists of two sections. First, nanobubbles' stability and behavior are studied using experimental and theoretical approaches. Second, nanobubbles application combined with ultrasound to remediate contaminated sediments is discussed.
The stability study consists of four sections. (i). Laboratory investigation to determine bubble size distributions and zeta potentials for different gases, pH levels, temperatures, and salt conditions. (ii). A theoretical study based on the diffused double layer theory to explain nanobubbles' behavior in different NaCl concentrations. (iii). Nanobubbles' stability in electrolyte solutions under different ion valencies using deionized water, NaCl, Na2SO4, Na3PO4, …
Modeling Mass Transfer And Chemical Reaction In Industrial Nitrocellulose Manufacturing Processes, Francis Patrick Sullivan
Modeling Mass Transfer And Chemical Reaction In Industrial Nitrocellulose Manufacturing Processes, Francis Patrick Sullivan
Dissertations
A series of models are proposed to describe the production of military grade nitrocellulose from dense cellulose materials in mixtures of nitric acid, sulfuric acid, and water. This effort is conducted to provide a predictive capability for analyzing the rate and extent of reaction achieved under a range of reaction conditions used in the industrial nitrocellulose manufacturing process for sheeted cellulose materials. Because this capability does not presently exist, nitrocellulose producers have historically relied on a very narrow range of cellulose raw materials and resorted to trial and error methods to develop processing conditions for new materials. This tool enables …
Small-Scale Dynamics Of Photospheric Magnetic Activities And Their Chromospheric Responses, Jiasheng Wang
Small-Scale Dynamics Of Photospheric Magnetic Activities And Their Chromospheric Responses, Jiasheng Wang
Dissertations
The evolution of photospheric magnetic fields is considered as the fundamental source of forming atmospheric structures and triggering most solar activities, including flares and mass ejections on various scales (CMEs, jets, etc.). With the implementation of high-resolution observational instruments, small-scale details of magnetic features are recognized that can provide important information regarding the evolution in active regions and the connection between photospheric magnetic reconnection and jet-like ejections in the quiet Sun. This research takes advantage of the exceptionally high-resolution measurements of vector magnetic field and imaging observations by the Goode Solar Telescope, and UV/EUV imaging observations from space-based instruments. The …
Countering Internet Packet Classifiers To Improve User Online Privacy, Sina Fathi-Kazerooni
Countering Internet Packet Classifiers To Improve User Online Privacy, Sina Fathi-Kazerooni
Dissertations
Internet traffic classification or packet classification is the act of classifying packets using the extracted statistical data from the transmitted packets on a computer network. Internet traffic classification is an essential tool for Internet service providers to manage network traffic, provide users with the intended quality of service (QoS), and perform surveillance. QoS measures prioritize a network's traffic type over other traffic based on preset criteria; for instance, it gives higher priority or bandwidth to video traffic over website browsing traffic. Internet packet classification methods are also used for automated intrusion detection. They analyze incoming traffic patterns and identify malicious …
Novel Applications Of Mass Spectrometry For Quantitation And Reaction Mechanism Elucidation, Pengyi Zhao
Novel Applications Of Mass Spectrometry For Quantitation And Reaction Mechanism Elucidation, Pengyi Zhao
Dissertations
Mass spectrometry (MS) has been growing as one of the most widely used tools in the field of analytical chemistry. Various applications have been developed to harness the high sensitivity and specificity of mass spectrometric analysis. In this dissertation, two major challenges are addressed. By developing mass spectrometric-based methods, absolute quantitation of proteins/peptides have been achieved. Elucidation of various reaction mechanisms are also enabled. These are the focuses of this dissertation.
In Chapters 2 to 4, a novel quantitation method is developed, titled as coulometric mass spectrometry (CMS). The strength of this method is that no reference standard or isotope-labeled …
Blast Shock-Wave Characterization In Experimental Shock Tubes, Sudeepto Kahali
Blast Shock-Wave Characterization In Experimental Shock Tubes, Sudeepto Kahali
Dissertations
Blast-induced traumatic brain injuries have affected U.S. soldiers deployed for extended periods in the gulf and Afghanistan wars. To identify the biomechanical and biochemical mechanisms of injury, critical in the identification of diagnostic and therapeutic tools, compressed gas-driven shock tubes are used by investigators to study shockwave-animal specimen interactions and its biological consequences. However, shock tubes are designed and operated in a variety of geometry with a range of process parameters, and the quality of shock wave characteristics relevant to field conditions and therefore the study of blast-induced traumatic brain injuries suffered by soldiers is affected by those conditions. Lab-to-lab …
Semantic, Integrated Keyword Search Over Structured And Loosely Structured Databases, Xinge Lu
Semantic, Integrated Keyword Search Over Structured And Loosely Structured Databases, Xinge Lu
Dissertations
Keyword search has been seen in recent years as an attractive way for querying data with some form of structure. Indeed, it allows simple users to extract information from databases without mastering a complex structured query language and without having knowledge of the schema of the data. It also allows for integrated search of heterogeneous data sources. However, as keyword queries are ambiguous and not expressive enough, keyword search cannot scale satisfactorily on big datasets and the answers are, in general, of low accuracy. Therefore, flat keyword search alone cannot efficiently return high quality results on large data with structure. …
Development Of Novel Membranes For Nanocarbon Enhanced Separation With Application In Biofuels And Solvent Recover, Oindrila Gupta
Development Of Novel Membranes For Nanocarbon Enhanced Separation With Application In Biofuels And Solvent Recover, Oindrila Gupta
Dissertations
Pharmaceutical industries historically have had one of the highest amounts of solvent waste generated per unit of drug manufactured. Energy requirements and carbon footprint of current solvent recycling processes tend to be quite high, and the incineration of the solvents for waste disposal produces toxic air emissions. Also, rapidly increasing demand for energy and strict regulation on engine pollutant emissions have necessitated the use of alcohol as carbon-neutral fuels. Thermal distillation is one of the most common methods for the separation of alcohol-water mixtures. However, its application is limited due to energy requirements and high operating costs, and heating to …
Convergence Of The Boundary Integral Method For Interfacial Stokes Flow, Keyang Zhang
Convergence Of The Boundary Integral Method For Interfacial Stokes Flow, Keyang Zhang
Dissertations
Boundary integral numerical methods are among the most accurate methods for interfacial Stokes flow, and are widely applied. They have the advantage that only the boundary of the domain must be discretized, which reduces the number of discretization points and allows the treatment of complicated interfaces. Despite their popularity, there is no analysis of the convergence of these methods for interfacial Stokes flow. In practice, the stability of discretizations of the boundary integral formulation can depend sensitively on details of the discretization and on the application of numerical filters. A convergence analysis of the boundary integral method for Stokes flow …
Identifying Successful Strategies Within An Extrinsic Reward System To Improve Behavior In The Alternative School Setting, Christian Burner
Identifying Successful Strategies Within An Extrinsic Reward System To Improve Behavior In The Alternative School Setting, Christian Burner
Dissertations
Purpose: The purpose of this Delphi study was to identify strategies that are successful within a school-wide extrinsic rewards system to improve alternative school student behavior in the alternative school setting. A second purpose was to rate the effectiveness of the identified strategies for improving alternative school student behavior in the alternative school setting.
Methodology: This study used a Delphi method, consisting of 3 rounds, to collect data from alternative schoolteachers who are experts in implementing strategies within a school-wide extrinsic rewards system. In Round 1, participants were asked to identify strategies to improve student behavior in the alternative school …
Mental Health And The High-Performing Student: A Study Of Stressors And Effective Supports For High-Achieving High School Students, Jodi Boyle
Dissertations
Purpose: The purpose of this qualitative phenomenological study was to explore the lived experiences of high-achieving 11th- and 12th-grade high school students participating in International Baccalaureate (IB), Advanced Placement (AP), or Honors courses. An additional purpose of this study was to identify the academic and social stressors experienced by students and the coping strategies used to overcome them.
Methodology: This study used a phenomenological research design to describe the lived experiences, academic and social stressors, and coping strategies of high-achieving students. For this study, in-depth interviews were conducted to understand the academic and social experiences of students participating in …
A Phenomenological Study On The Impact Of Servant Leadership For Establishing A Culture Of High Performance As Perceived By High School Principals, Darrick Rice
Dissertations
Purpose: The purpose of this phenomenological study was to explore and describe the perceived impact of Patterson’s (2003) 7 servant leadership constructs on high school principals in establishing a culture of high performance.
Methodology: The qualitative phenomenological study described the lived experiences of high school principals who lead schools that have implemented Patterson's (2003) 7 servant leadership constructs for establishing a culture of high performance in Los Angeles County, California. The researcher was a part of 8 peer researchers and 2 faculty advisors. The data collection included virtual face-to-face semi structured interviews using a protocol developed by the thematic team. …
District-Based And School-Based Variables Predicting Performance Of High Schools In Arkansas, Justin Luttrell
District-Based And School-Based Variables Predicting Performance Of High Schools In Arkansas, Justin Luttrell
Dissertations
The purpose of this dissertation was to determine the predictive effects of school size, teacher absenteeism, pupil-teacher ratio, district health literacy percentage, and highly mobile student population rates. These predictive factors were examined on persistence as measured by the 4-year graduation rates, on accountability ratings as measured by the ESSA building score, and on the overall academic achievement as measured by the average ACT composite score of juniors for high schools in Arkansas, respectively. A quantitative, multiple regression analysis was used to analyze the data. The sample data for this study comprised 75 Arkansas public high schools, selected and stratified …
Predictive Effects On Transfer Student Success By Prior Academic Integration And By Social Integration, Jacob Brownfield
Predictive Effects On Transfer Student Success By Prior Academic Integration And By Social Integration, Jacob Brownfield
Dissertations
The purpose of this dissertation was to determine predictive effects among the transfer GPA, the number of hours transferred, a remedial course taken pretransfer, the transferred completion percentage, the use of on-campus housing, participation in collegiate athletics, and participation in social clubs on transfer student success as measured by the post-transfer first semester GPA and graduating GPA of undergraduate transfer students at a private liberal arts university in Central Arkansas. The post-transfer number of semesters until graduation was included as a predictor variable for the fourth Hypothesis. Tinto’s longitudinal model of student departure served as the theoretical framework, and the …
Determinants Of Financial Success Of Large Law Firms, James Xu
Determinants Of Financial Success Of Large Law Firms, James Xu
Dissertations
Prior research has established that leadership characteristics, job equity perception, and client satisfaction are all associated with a firm’s financial performance. This study tested hypotheses about these variables based upon Upper Echelons Theory, Adams Equity Theory, and Stakeholder Theory, in the context of 110 large U.S. law firms. The analysis revealed that (1) the racial diversity of the firm’s management committee is positively associated with the firm’s financial performance; (2) the average employee salary has a positive and U-shaped relationship with the firm’s financial performance; (3) the average employee salary has a positive relationship with the firm’s client satisfaction; (4) …