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Title: Witnesses with Disabilities in Court: Differences in Mock Jurors' Perceptions of Credibility Between Disability Groups and Juror Factors Associated with Credibility Perceptions
Creator: Stevenson, Rebekah
Date: 2019
Description: Individuals with disabilities face multiple barriers and vulnerabilities in society, including violent crime victimization at a rate nearly 2...
Show moreIndividuals with disabilities face multiple barriers and vulnerabilities in society, including violent crime victimization at a rate nearly 2-3 higher than that of the general population. Despite these disproportionately higher rates of victimization, crimes committed against individuals with disabilities rarely result in criminal prosecution and conviction. One possible explanation for such a discrepancy is that jurors perceive individuals with disabilities as less credible witnesses than witnesses from the general population.The present study used a modified Credibility Comparisons Questionnaire to identify differences in potential juror perceptions of credibility between specific disability groups, including witnesses with intellectual disability and witnesses with deafness. Additionally, the study aimed to identify juror characteristics that may be associated with credibility perceptions. The survey was administered to 114 potential jurors recruited through SurveyMonkey Audience. The data were analyzed using a one-way within-subjects ANOVA and multiple regression analyses.The results of the study suggest that potential jurors may perceive witnesses with intellectual disability as less credible overall than witnesses with deafness and typical adult witnesses. Additionally, potential jurors may perceive witnesses with deafness as more accurate and less suggestible than witnesses with intellectual disability and typical adult witnesses. These findings highlight the important role rehabilitation psychologists may play in providing education to legal professionals and jurors regarding a witness’ abilities and limitations, as well as providing techniques to help witnesses compensate for specific deficits so that they are not precluded from testifying in court.
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Title: SEARCH FOR STERILE NEUTRINO OSCILLATIONS WITH THE PROSPECT EXPERIMENT
Creator: Surukuchi, Pranava Teja
Date: 2019
Description: Neutrinos have been one of the most interesting particles to study for the best part of the last century. Ever since the first discovery of...
Show moreNeutrinos have been one of the most interesting particles to study for the best part of the last century. Ever since the first discovery of neutrinos, various experiments using both natural and artificial neutrino sources have helped in determining the nature of neutrinos. In particular, experiments in the last two decades helped determine the neutrino oscillation parameters. Although three neutrino picture is well established, discrepancies have been observed in some recent reactor, accelerator, and source neutrino experiments hinting at the existence of a fourth weakly non-interacting neutrino called a sterile neutrino. Additional experimental investigation is needed to test the sterile neutrino hypothesis and identify the source of discrepancies. PROSPECT is a short-baseline reactor antineutrino experiment designed to search for sterile neutrinos and make a precise measurement of 235U reactor antineutrino spectrum from the High Flux Isotope Reactor at Oak Ridge National Laboratory located in Tennessee. The PROSPECT detector is segmented with 6Li-loaded liquid scintillator as the target. The design and development of the PROSPECT detector started in 2014 and the assembly and installation have finished by early 2018. PROSPECT detector has been collecting data since March 2018. The design, development, and installation of the detector is discussed with a particular emphasis on the components designed and developed at Illinois Institute of Technology. The detector calibration, event reconstruction, and data quality are also discussed. Finally, the sterile neutrino search using 33 days of reactor on data and 29 days of reactor off data is presented.
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Title: Towards the Robust Situation Awareness in Distribution Management System
Creator: Yao, Yiyun
Date: 2019
Description: In distribution systems, intermittent distributed energy resources (DERs) and vol-atile loads will result in a wide variation of system...
Show moreIn distribution systems, intermittent distributed energy resources (DERs) and vol-atile loads will result in a wide variation of system operating conditions. This motivates the establishment of modern distribution management system (DMS) for real-time net-work monitoring, resource optimization, and demand management. Three subproblems are mainly discussed when establishing the robust situation awareness in DMS. A measurement placement problem is proposed to decide the optimal locations and types of measurements to be placed in the distribution systems that minimize the worst-case estimation errors for DSSE over different system operating conditions. Four indices of the estimation error covariance matrix are chosen as the criteria of accuracy. The proposed measurement placement problem is formulated as a mixed-integer sem-idefinite programming (MISDP) problem. To avoid the combinatorial complexity, a con-vex relaxation, followed by a local optimization method, is employed to solve the MISDP problem. The proposed problem and the effectiveness of the proposed solution method are numerically demonstrated on the 33-bus distribution system.Distribution system state estimation (DSSE) is one of the vital components in the next-generation distribution management system (DMS), which allows the operators to monitor the entire system’s operating conditions. Due to the lack of real-time measurements, DSSE has to process measurements whose quality varies significantly across different sources, which causes convergence issue to the Gauss-Newton solver. In this chapter, a semidefinite programming (SDP) framework is developed to reformulate the DSSE problem into a rank- constrained SDP problem. One challenge of this technique is the nonconvex rank-one constraint, which is generally relaxed. However, the relaxed SDP-DSSE problem cannot guarantee a rank-one solution and hence lose optimality. Therefore, we propose two solution approaches, namely the rank reduction approach and the convex iteration approach, to obtain rank-one solutions for the SDP-DSSE problem. The proposed model and the effectiveness of the proposed solution approaches are numerically demonstrated on the IEEE 13-, 34-bus, and 123-bus distribution systems.A SE algorithm based on random measurements selection, which is inspired by the concept of moving target defense (MTD), is developed to prevent and mitigate stealthy cyber-attacks. With the proposed SE, a library of selected measurements scenarios is first generated offline given the available measurements and network topology. During online operation, multiple weighted least square (WLS) based SEs are processed in parallel with randomly picked scenarios from the library. The final solution is selected based on the largest normalized residuals with regard to individual scenarios. The effectiveness of the proposed SE is examined by attack-defense experiments on IEEE 14-bus, 39-bus, 57-bus, and 118-bus systems.
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Title: SPIN TRANSPORT AND SPIN-ORBIT TORQUES IN ANTIFERROMAGNETS
Creator: Saglam, Hilal
Date: 2019
Description: The electron has two fundamental degrees of freedom, i.e., charge and spin. Existing semiconductor electronics utilizes the charge degree of...
Show moreThe electron has two fundamental degrees of freedom, i.e., charge and spin. Existing semiconductor electronics utilizes the charge degree of freedom in its functionalities. Spintronics seeks, in addition, to exploit the spin degree of freedom, which can suggest promising pathways for low-power and faster operations. In conventional spintronics devices, ferromagnetic materials (FMs) have been employed as active components. However, it has recently been recognized that antiferromagnetic materials (AFMs) can also play an active role in spintronic devices. Antiferromagnets have several advantages over ferromagnets; for instance, they have net zero magnetization so that they are invisible to external magnetic fields. Also, they show resonances in the terahertz frequency range. Towards this end, this thesis focuses on spin transport and spin-orbit torques in various antiferromagnetic materials. With respect to the former, I demonstrated that spin currents can be transmitted efficiently through a metallic antiferromagnet FeMn. I detect two distinctly different spin transport regimes, which can be associated with electronic and magnonic spin currents. With respect to the latter, I investigated a possible correlation between two important spintronics concepts, i.e., spin-orbit torques and exchange bias since the ferromagnetic/antiferromagnetic interface is crucial for both phenomena. The measured spin Hall angles suggest that these two effects are independent of each other, although it is worthy to mention that there are still strong spin-orbit torques even when the antiferromagnet is directly exchange coupled to the ferromagnet. Furthermore, I discuss anomalous Hall effect (AHE) and anomalous Nernst effect (ANE) in another metallic antiferromagnet, FeRh, which undergoes a temperature driven antiferromagnetic-to-ferromagnetic phase transition. The temperature dependent results show a drastic suppression of both AHE and ANE signals in the antiferromagnetic phase. Interestingly, these non-vanishing signals are opposite in sign compared to their ferromagnetic counterparts, which can suggest changes of inherent symmetries in the electronic structure of FeRh across its magnetic phase transition.
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Title: A Dynamic Model of Central Counterparty Risk and Liquidity Risk Measures
Creator: Feng, Shibi
Date: 2019
Description: The thesis consists of two major parts, and it contributes to two topics in risk models - a dynamic model of central counterparty risk and...
Show moreThe thesis consists of two major parts, and it contributes to two topics in risk models - a dynamic model of central counterparty risk and liquidity risk measures.Chapter 2 is devoted to the first part of the thesis, where we propose a dynamic model of central counterparty risk by introducing a dynamic model of the default waterfall of derivatives Central Counterparties (CCPs) and by designing a risk sensitive method for sizing the initial margin (IM), and the default fund (DF) and its allocation among clearing members. Using a Markovian structure model of joint credit migrations, our evaluation of DF takes into account the joint credit quality of clearing members as they evolve over time. Another important aspect of the proposed methodology is the use of the time consistent dynamic risk measures for computation of IM and DF. We carry out a comprehensive numerical study, where, in particular, we analyze the advantages of the proposed methodology and its comparison with the currently prevailing methods used in industry. The second part of the thesis is divided into four chapters, and the primary goal of this part is to develop a general framework for liquidity risk management in an order driven market. Chapter 3 describes the essential elements of an order driven market and introduces the notions that are of critical financial meaning, for instance, trading strategy and its corresponding value process. Moreover, we propose a model for the dynamics of the limit order book by using marked point process. Chapter 4 is devoted to the identification and measurement of liquidity risk. We describe the importance of demand for liquidity in measuring liquidity risk and we introduce the concept of liquidity provision. By considering a trader who is subject to liquidity provision only, we demonstrate that liquidity provision impacts the valuation of the portfolio through the trading costs of the foreseen transactions. Then, we propose two portfolio liquidity risk measures to account for the liquidity risk introduced by the liquidity provision. Besides measuring the liquidity risk of a portfolio, we also design a method to measure the liquidity provision adjusted risk for any contingent claim in the financial market established in Chapter 3. Chapter 5 attends to the hedging problem under liquidity provision. We prove the existence of an optimal hedging strategy in terms of minimizing the hedging error under liquidity provision. We demonstrate that the optimal hedging strategy can be solved in terms of associated Bellman equations.
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Title: Identity and Self-Efficacy Among Mathematically Successful African American Single Mothers in Urban Community College Contexts
Creator: Devi, Shavila
Date: 2019
Description: This dissertation is a phenomenological, multi-case study of 13 mathematically successful African American single mothers from two urban...
Show moreThis dissertation is a phenomenological, multi-case study of 13 mathematically successful African American single mothers from two urban community colleges in Chicago. While a number of recent studies have focused on Black girls and women in K-12 and university contexts, the community college context remains understudied despite the presence of large numbers of Black women. Moreover, there has been a tendency in mainstream research contexts to normalize failure, and focus on problematic aspects of being a Black single mother or being a Black mathematics learner. Bringing together considerations of identity (racial, mathematics, single mother) and mathematics self-efficacy, this study will be the first to focus on mathematically successful African American single mothers in the community college context. The following research questions guided the research for this dissertation:1. How do African American single mothers, who return to study mathematics at the community college and are successful in their courses, narrate their identities and life experiences around race, gender, mathematics learning, and being a mother?2. How do these women score on the Mathematics Self-Efficacy Scale (MSES) and what sources of and influences on their self-efficacy are reported by these women via interviews? 3. What other factors (intrapersonal and beyond) do these women report as being particularly salient in their mathematics success?Multiple forms of data–semi-structured interviews, pre-and-post responses to a widely-used mathematics self-efficacy survey, and mathematics artifacts–were collected to address the research questions. A cross-case analysis of the data revealed four themes that emerged across the 13 participants. Within-case analyses of three participants reveals how the themes play out in-depth for these women. The four themes are (1) strong counter-narratives of being a single mother that resisted dominant and deficit-oriented discourses; (2) education as a key tool and resource to manage and mitigate risks associated with single motherhood; (3) multifaceted stories of resilience to achieve success in mathematics and life; and (4) positive, success-oriented mathematics identities and positive math self-efficacy. This study contributes to an emerging success-oriented literature on Black women and mathematics, and a growing research literature on identity in mathematics education. In surfacing how the participants narrate and negotiate race, gender, and class, this dissertation also contributes to an emerging literature on intersectionality in mathematics education. Results from this study can inform community college administrators and faculty in crafting practice and policy to support African American single mothers in mathematics.
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Title: DOES SYSTEMATIC PROFESSIONAL DEVELOPMENT FOR SCIENCE TEACHERS OF ENGLISH LANGUAGE LEARNERS (ELLS) MEET THEIR PROFESSIONAL NEEDS AND WHAT IS THE RELATIONSHIP BETWEEN PERCEPTIONS OF PROFESSIONAL DEVELOPMENT AND SELF-EFFICACY TO TEACH SCIENCE TO ELLS?
Creator: Degand, Lillian H
Date: 2019
Description: ABSTRACTProfessional learning is essential for science teacher preparation to teach science and part of a national movement to prepare...
Show moreABSTRACTProfessional learning is essential for science teacher preparation to teach science and part of a national movement to prepare students, including English Language Learners, (ELLs) for the demands of a 21st century workforce. The purpose of this research was to explore a) what science teachers feel they need in professional development to meet the needs of teaching science to ELL students; b) if science teachers demonstrate best practices learned in PD when teaching ELLs; and c) if there is a relationship between perceptions of professional development and self-efficacy in teaching science to ELLs.. Little is known about what science teachers need in their professional learning to effectively teach science to ELLs. Four data collection phases were used to ascertain teacher needs, preparedness, self-efficacy, and their ability to teach science to ELLs. The data were collected through two surveys, interviews, classroom observations, and case studies. The data were analyzed using a correlation analysis of the two surveys or coding interviews and observations into themes in relation to each research question. Findings in this study revealed no correlation between perceptions of PD and self-efficacy when teaching science to ELLs. Professional learning needs for science teachers with 50%> ELLs included sustained PD in science and ESOL, language development strategies, technology and material resources, and support for teaching from additional personnel and administrators. Most teachers were utilizing best practices when teaching science to ELLs but to varying degrees and had high scores in self-efficacy though they believed they were not prepared to meet the needs of ELL’s. Consequently, discovering science teachers’ needs by engaging them, as stakeholders in a process to include their needs, will create a structure that can design PD which can promote science among ELLs and today’s cultural and diverse classrooms.Keywords: professional development, self-efficacy, ELLs.
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Title: Masculinities in Games for Gay Male Audiences
Creator: DeAnda, Michael Anthony
Date: 2019
Description: Games offer a unique site to understand how culture operates and works upon us. With the recent push for more representation of LGBTQ bodies...
Show moreGames offer a unique site to understand how culture operates and works upon us. With the recent push for more representation of LGBTQ bodies and experiences in AAA games, queerness provides a necessary framework to critique the politics of these representations. In this project, I question the extent to which games marketed to gay men challenge or reify problematic values of heteronormativity and hegemonic masculinity. I argue that discussing representation in games necessitates interrogation beyond visual and narrative elements to include mechanics, constraints, rules, and systems. Here, I emphasize understanding how these components of games allow players to play with bodies or limit interactions in games and what these affordances/constraints relay about gender identity and sexuality. In my second chapter, I investigate how a game played on RuPaul’s Drag Race with male underwear models codes male/female binaries into gay sexuality. In Chapter 3, I analyze Drag Bingo through participant observation and oral histories with drag queen hosts and discuss how these hosts develop a liminal space in which players can joyfully play with gender and sexuality. I “close play” Robert Yang’s Cobra Club in Chapter 4, locating the game within the history of surveilling homosexuality. A design discussion of Bulge Lab, an Alternate Reality Game I developed that focuses on body image, masculinity, and viruses, comprises my fifth chapter.
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Title: Superior Reversible Hydrogen Storage of the LiBH4 + MgH2 System Enabled by High-Energy Ball Milling with In-Situ Aerosol Spraying
Creator: Ding, Zhao
Date: 2019
Description: The prospect of LiBH4 + MgH2 mixture has been limited by its sluggish kinetics, despite its excellent hydrogen storage capacity theoretically....
Show moreThe prospect of LiBH4 + MgH2 mixture has been limited by its sluggish kinetics, despite its excellent hydrogen storage capacity theoretically. We have designed a novel process termed as high-energy ball milling of MgH2 at ambient temperature along with aerosol spraying of LiBH4 dissolved in tetrahydrofuran (THF) solution (BMAS) to improve the thermodynamic and kinetic performance of LiBH4 + MgH2 hydrogen storage materials. Through this BMAS process, we have demonstrated that, for the first time, the reaction between LiBH4 + MgH2 can take place near ambient temperature, and the in-situ formation of LiH and MgB2 during BMAS is achieved through a new reaction pathway in which nano-LiBH4 decomposes to Li2B12H12 first and the newly formed Li2B12H12 reacts with MgH2 to form LiH and MgB2.Using the newly designed automated BMAS apparatus, we have successfully produced a BMAS mixture containing 1 mole of MgH2 + 0.5 mole of LiBH4, i.e., with 25% LiBH4 in the mixture for the stoichiometric reaction. The BMAS powder with 25% LiBH4 can release and absorb ~5.7 wt.% H2 at 265 oC, which is the highest one ever reported for the LiBH4 + MgH2 system at temperature ≤ 265 oC. It is found that the unusually high reversible hydrogen storage is accomplished through two parallel reaction pathways. One is nano-LiBH4 decomposes to form Li2B12H12 and H2 first and then Li2B12H12 reacts with MgH2 to form MgB2, LiH and H2. The other is nano-MgH2 decomposes to form Mg and H2 first and then Mg reacts with LiBH4 to form MgB2, LiH and H2. These reaction pathways become possible because of the presence of nano-LiBH4 and nano-MgH2 and their intimate mixing, enabled by the BMAS process. We have also revealed that the solid-state dehydrogenation kinetics of the BMAS powder with 25% LiBH4 at 265 oC is nucleation-and-growth controlled. The rate-limiting step for dehydrogenation via the two parallel reaction pathways has been identified through examination of the elementary reactions as the nucleation and growth of reaction products LiH and MgB2. Given the significantly improved hydrogen storage capacity for the LiBH4 + MgH2 system obtained via BMAS, investigation on increasing the LiBH4 content in the BMAS powder from 25% to 50% is performed. It is shown that Mg(BH4)2 can be produced during the BMAS process and it contributes to H2 release at temperature ≤ 265 oC. Three parallel H2 release mechanisms have been identified from the BMAS powder. These include (i) nano-LiBH4 decomposes to form Li2B12H12 and H2 first and then Li2B12H12 reacts with MgH2 to form MgB2, LiH and H2, (ii) nano-Mg(BH4)2 decomposes to form MgH2, B and H2, and (iii) nano-MgH2 decomposes to Mg and H2. Together these three mechanisms result in 4.11 wt.% H2 release in the solid state at temperature ≤ 265 oC. Furthermore, the predicted property of Fe3B in absorbing more H2 than releasing it is confirmed experimentally for the first time in this study. Varied models have been identified to describe the kinetic of solid-state dehydrogenation of the BMAS powder with 50% LiBH4 at 265 oC with increasing cycles. Additionally, the geometries of the solid particles involving with the dehydrogenation have also been estimated.
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Title: DEVELOPING NON-LINEAR AND ADAPTIVE NEURONAL SYNCHRONY AND CONNECTIVITY ANALYSIS TO PERSONALIZE CLOSED-LOOP DBS THERAPY FOR TREATING EPILEPSY
Creator: Farahmand, Sina
Date: 2019
Description: Epilepsy disease afflicts more than seventy million people worldwide. In approximately one third of the cases, antiepileptic medications fail...
Show moreEpilepsy disease afflicts more than seventy million people worldwide. In approximately one third of the cases, antiepileptic medications fail to control seizures. Over the last few decades, electrical stimulation of the brain has been evaluated as a potential alternative to treat surgically and medically refractory epilepsy patients. Despite some successes, most of the devices using this protocol operate based on pre-determined stimulation parameters (e.g. frequency and location of stimulation) that have little or no relationship to the individuals’ underlying brain dynamics, which we hypothesize may explain their low clinical efficacy in preventing or terminating seizures.In this study, a non-linear adaptive neuronal synchrony and connectivity analysis was developed in order to extract stimulation parameters from endogenous, multi-site brain dynamics of epilepsy patients. A non-linear analytical methodology was proposed to assess phase-synchrony dynamics in epilepsy patients as seizures evolve. This study revealed a desynchronization around seizure onset. However, the synchrony level started to increase gradually towards seizure end and reached its maximum at seizure termination. This results reveal that hyper-synchronization of the epileptic network may be a critical self-regulatory mechanism by which the brain terminates seizures. In the other phase of this study, a non-linear adaptive phase-connectivity analysis was developed in order to extract frequency and locations of stimulation that match the synchronized network dynamics at seizure termination. Matching these parameters to the endogenous brain dynamics of epilepsy patients as seizure naturally terminates may not only terminate seizures prior to their development, but it may also lead to a personalized deep brain stimulation (DBS) therapy with higher clinical efficacy.
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Title: MODELING THE ORIGIN AND INCEPTION OF FATIGUE FAILURE IN METALS THROUGH A NON-LINEAR MECHANICAL SPRING SYSTEM
Creator: Divani, Abbas
Date: 2019
Description: Fatigue failure of metals is one of the aspects of material behavior that have not been explained through direct calculations or mathematical...
Show moreFatigue failure of metals is one of the aspects of material behavior that have not been explained through direct calculations or mathematical modeling. This research is to undertake the development of an innovative model that can be used in predicting the fatigue behavior of metals. This model is based on the behavior of a system of large number of parallel elements, each composed of two springs, a string, and a mass block, that undergo cyclically varying or random load cycles. Failures among the elements occur at random and can be used as a means to simulate fatigue damage and fatigue behavior. Initial studies on this model have produced promising results. This research is intended for full development and implementation of the model including procedures for Development of a method for calibration of the model parameters using the common mechanical properties of steel, extension of the model to incorporate the hysteresis behavior of steel under cycling loading, and development of Constant Fatigue Life diagrams Such as Goodman diagram.
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Title: Franczyk, Brian, Oral History Interview, 2011
Creator: Franczyk, Brian, Walker, Dale, Kuruna, Daniel
Date: 2011-05-01
Description: Video interview with Brian Franczyk, who received an BS in Design from the Institute of Design in 1979. Franczyk recounts his experience as an...
Show moreVideo interview with Brian Franczyk, who received an BS in Design from the Institute of Design in 1979. Franczyk recounts his experience as an undergraduate student under Arthur Siegel. Running time is 9:40 minutes.
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Collection: Institute of Design Photography Oral History Project, 2011

Title: A Longitudinal Study of the Progression of Preservice and In-service Science Teachers' Abilities to Teach Inquiry-based Science
Creator: Bartley, Jeanette
Date: 2019
Description: All teachers are expected to teach inquiry-based science by the National Science Education Standards, the National Association of Science...
Show moreAll teachers are expected to teach inquiry-based science by the National Science Education Standards, the National Association of Science Teachers, and the Next Generation Science Standards (NRC, 1996; NSTA, 2012; NGSS Lead States, 2013). If this is the mandate for teachers of science, what does this look like over time for teachers? The current study was a longitudinal study focused on tracking the development of four science teachers’ inquiry-based instructional practices over time. The key research question was How do beginning science teachers from a preservice teacher education program that focuses specifically on inquiry-based science instruction conceptualize teaching science as inquiry as they move through preservice education, induction, and in-service?Four science teachers (one middle school and three high school) from the same preservice teacher education program were followed during their student teaching practicum and first four years as beginning science teachers. Findings from this study suggest that beginning science teachers’ abilities to teach inquiry-based science over time are situational. It is heavily rooted in their values, beliefs, and the contexts in which they teach. The findings also suggest that regardless of a science teacher’s attitudes, values and beliefs about science teaching, the context in which they teach is important and can positively or negatively impact their abilities and willingness to teach inquiry-based science.
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Title: Optimal Execution Strategy with Time-varying Intraday Patterns of Liquidity Parameters
Creator: Ge, Xinyi
Date: 2019
Description: ABSTRACTThis paper suggests an optimal execution strategy to minimize expectedcost of a large size order within a fixed time period. Based on ...
Show moreABSTRACTThis paper suggests an optimal execution strategy to minimize expectedcost of a large size order within a fixed time period. Based on [42]’s price impactmodel, I include time varying bid-ask spread, a measure of market width as aparameter into the problem, and let not only width, but also depth (order booksize) and resiliency time dependent in a trading day. In addition, I utilize meanreversion regression models to estimate mean resiliency ratio as a parameter inthe execution strategy, with S&P 500 stock data in year 2012. U-shaped intradaypatterns of resiliency are presented when measured by bid-ask spreads, whileCotangent-shaped patterns are shown measured by market depths. Resiliencymovement is then predicted using machine learning techniques. In the end, Iconduct empirical experiments with all three time dependent liquidity parametersand obtain same conclusions with numeric examples. I find out higher expectednet cost savings comparing to costs from model with constant liquidity parameters.Market depth is the primary parameter to the strategy while width and resiliencyare not ignorable. When resiliency is low, cost saving is substantial.
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Title: MICROGRID COMMUNICATION: HARDWARE AND SOFTWARE TECHNOLOGIES
Creator: GONG, WENLONG
Date: 2019
Description: The Keating Nanogrid at Illinois Institute of Technology (IIT) was designed to be an islandable ac/dc hybrid nanogrid. The on-site rooftop...
Show moreThe Keating Nanogrid at Illinois Institute of Technology (IIT) was designed to be an islandable ac/dc hybrid nanogrid. The on-site rooftop solar and battery system are supporting the interconnected dc and ac subsystems. The nanogrid system at the ac bus is eventually interconnected with the IIT Microgrid. The battery storage system at Keating Nanogrid was designed to support its critical loads for about 8 hours daily. A battery management system (BMS) was employed so that it can monitor and report storage system status to the Keating Nanogrid controller for optimal decision making.The dc load including 94 fixtures controllable LED lighting system was designed to replace the original 189 fixtures ac florescent lighting system. The LEDs’ dc-dc driver was designed and built to enable the dc input provided by the rooftop solar photovoltaic system. The dc system control and communication module was designed and built to make the LED lights controllable individually by the Keating Nanogrid controller or sensor network.To enhance safety at night, 4 islandable LED streetlights were deployed on the east side of the Keating Nanogrid where grid connection was not available for lighting. The east-side streetlight is self-sustained with its own wind turbine, solar panel and battery. The real-time monitoring system was designed and built for the streetlights.The Keating Nanogrid was designed for multiple purposes including the monitoring and control of all elements via pertinent communication pathways. It exchanges the real-time information with the IIT Microgrid and together they make optimal operation decisions to enhance efficiency and reliability of the entire IIT Microgrid system.
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Title: Development of multirate data-driven models for chemical and biological processes
Creator: Gan, Jingwei
Date: 2019
Description: Monoclonal antibodies (MAbs) have extensive biomedical application and are produced in mammalian cell bioreactor at a variety of scales, with...
Show moreMonoclonal antibodies (MAbs) have extensive biomedical application and are produced in mammalian cell bioreactor at a variety of scales, with glucose and glutamine being the principle carbon and nitrogen sources required for cellular metabolism. Fed-batch operation has certain inherent advantage over batch culture for MAbs production. Design, optimization, scale-up, and control of bioreactor used for MAbs production requires reliable predictive empirical or mechanistic models for key cellular activity. The models used in prior studies have largely been the first principle based models (FPMs), although data-driven models are receiving increasing attention due to their certain inherent benefits and increasing information available about biological processes. The simpler and much less rigid structure of data-driven models facilitates frequent updating of parameters and prediction of process trajectories, increasing their utility in representation, monitoring and control of these processes.Multi-sampling rate recursive time series models are developed for representation of a mammalian cell culture, with process variables that are determinants of the performance of the culture being measured at different sampling frequencies. For this reason, a composite of an adaptive autoregressive moving average with exogenous input (ARMAX) model, a dual-rate adaptive autoregressive exogenous input (DR-ARX) model and a irregular-rate adaptive autoregressive exogenous input (IR-ARX) model is used. Appropriate parameter constraints have been imposed in parameter estimation algorithms and stability of these has been examined and is ensured. The data required of estimation of parameters are generated from simulation experiments using a well tested first principle-based kinetic model (FPM) considering random variations in manipulated inputs, kinetic parameters in the FPM, and measurement error for outputs. Glucose and glutamine being determinants of mammalian cell metabolism, their supply rates are considered to be inputs. The predictive ability of the data-driven model is examined and demonstrated over a broad range of prediction horizon.
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Title: A BOUNDARY INTEGRAL METHOD FOR COMPUTING THE FORCES OF MOVING BEADS IN A THREE-DIMENSIONAL LINEAR VISCOELASTIC FLOW
Creator: Hernandez, Francisco
Date: 2019
Description: Computing the forces acting on particles in fluids is fundamental to understanding particle dynamics and interactions. In this thesis, we...
Show moreComputing the forces acting on particles in fluids is fundamental to understanding particle dynamics and interactions. In this thesis, we study the dynamics of a two-particle system in a three-dimensional linear viscoelastic flow. Using a correspondence principle between unsteady Stokes flow and viscoelastic flow, we reformulate the problem and derive a boundary integral formulation that solves the Brinkman’s equation in the Fourier domain. We show that computational costs can be reduced by carefully eliminating the double-layer potential, and that a unique solution can be obtained by desingularizing the equation. We develop a highly accurate numerical integration scheme to evaluate the resulting boundary integrals. We solve the backward problem by making use of our numerical integration scheme, variable transformations, generalized minimum residual (GMRES) method, and spherical harmonic interpolations. In particular, spherical harmonic interpolations ensure that this numerical scheme is of high accuracy. Our method also has the advantage of working for both unsteady Stokes and linear viscoelastic flow by appropriately adjusting the oscillation frequency. Our numerical results are in agreement with the exact solution for a single-particle system, as well as the asymptotic solution for large particle separation in the two-particle system. Last, we analyze the numerical results for high oscillation frequencies and small particle separation. Our numerical method is shown to only depend on the frequency parameter and the distance between the particles. We find that for high frequencies, the forces on the particles behave differently for unsteady Stokes and linear viscoelastic flows.
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