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Title: Gradient Hydrogels for Neovascularization of Engineered Tissues
Creator: He, Yusheng Jason
Date: 2020
Description: The inability to induce extensive and perfusable microvasculature within complex engineered tissues that possess spatial variations in...
Show moreThe inability to induce extensive and perfusable microvasculature within complex engineered tissues that possess spatial variations in mechanical properties, physical architecture and biochemical composition remains as a major hurdle to their clinical translation. Biomaterial strategies focused on designing scaffolds with physiologically relevant gradients provide a promising means for elucidating 3D vascular cell responses to spatial and temporal variations in matrix properties. This work developed a cell-laden hydrogel platform with tunable decoupled and combined gradients of multiple matrix properties critical for maintenance of long term-vascular cell viability, adhesion, migration and invasion outgrowth to elucidate the impact of gradient matrix cues on 3D neovascularization in culture. This was achieved through the completion of three specific aims. First, a novel ascending frontal polymerization (AFP) technique was developed to generate gradient-based PEG hydrogel scaffolds with tunable individual and combined matrix gradients. Using programmable syringe pumps to control the delivery of precursors with distinct composition during crosslinking, we were able to generate gradient scaffolds with decoupled spatial variations in the immobilized concentration of the RGD cell adhesion peptide ligand and elastic modulus. Using this approach, the slope and magnitude of the imposed RGD gradients were readily manipulated without inducing variations in elastic modulus. Vascular spheroids inserted into gradient hydrogel scaffolds supported 3D vascular sprout formation, while the immobilized RGD gradient promoted an increase in sprout length towards the imposed gradient. Next, to create cell-laden scaffolds photopolymerization conditions were optimized to enable viable cell encapsulation during scaffold fabrication. To achieve this, an experimental sensitivity analysis combined with the design of experiments (DOE) was implemented to design isotropic hydrogel scaffolds with a broad range of matrix properties (elastic modulus, immobilized RGD and proteolytic degradation) that supported vascular sprouting in 3D culture. We examined the individual and interaction effects of each matrix property and demonstrated that an optimal combination associated with increases in immobilized RGD and proteolytic degradation of mediate synergistic enhancements in 3D vascular sprouting. Based on the findings from this in vitro study with isotropic hydrogel scaffolds, we designed scaffolds with 5 types of gradient combinations in immobilized RGD, stiffness and protease-sensitivity and explored the impact of spatial variations these matrix cues on vascular sprouting within the constructs in 3D culture. Specifically, we created hydrogel scaffolds with gradients in immobilized RGD with (1) steep and (2) shallow slopes, (3) gradients in elastic modulus, (4) gradients in protease-sensitivityand and (5) opposing gradients of RGD and modulus and concurrent gradients of protease sensitivity and RGD. By encapsulating vascular spheroids in different regions of each gradient scaffold, we observed spatial variations in total sprout length within all gradient scaffolds. We also found that RGD gradient and combined gradient scaffolds induced biased vascular sprouting toward increased RGD concentration and that biased sprouting was enhanced by gradient magnitude and slopes of immobilized RGD concentration. Conversely, directional sprouting responses diminished in scaffolds possessing opposing gradients in RGD (with concurrent gradients of degradation) and modulus. The presented work is the first to demonstrate the use of a cell-laden biomaterial platform to explore the impact of gradients in RGD, proteolytic degradation, and stiffness on vascular sprouting responses in 3D culture. The presented platform and findings of this thesis work hold great potential in the fields of tissue engineering specifically for prevascularization of complex tissues that possess spatial variations in mechanical properties, degradation rate and adhesion ligand composition to facilitate their regeneration.
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Title: THREE ESSAYS IN ENTREPRENEURIAL FINANCE AND COMMODITY MARKETS
Creator: Jia, Jian
Date: 2020
Description: This dissertation includes three essays with a series of empirical investigations in areas of entrepreneurial finance and commodity markets.In...
Show moreThis dissertation includes three essays with a series of empirical investigations in areas of entrepreneurial finance and commodity markets.In the first essay, I study the impact of General Data Protection Regulation (GDPR) on investment in new and emerging technology firms. My findings indicate negative post-GDPR effect after its 2018 rollout on EU ventures, relative to their US counterparts, but no such effects following its 2016 enactment.In the second essay, I examine how investors’ tendency to prefer investing in local ventures interacts with the effects of the GDPR on venture investment in EU. I demonstrate that GDPR’s enactment and rollout differentially affect investors as a function of their proximity to ventures. Specifically, I show that GDPR’s rollout in 2018 has a negative effect on EU venture investment and the effects are higher when ventures and lead investors are not in the same country or union. The relationship manifests in the number of deals per month and in the amount invested per deal, and is particularly pronounced for newer and data-related ventures.In the third essay, I formulate two claims about spot and futures return prediction in industrial metal futures market. These claims lead to testable hypotheses, and provide theory-based restrictions for the coefficients of spot and futures return regression. I investigate six industrial metals and find empirical support for my hypotheses. The in-sample and out-of-sample evidence shows that financial variables, proxies for global economic activities, and the basis predict futures and spot price returns consistently with my hypotheses. Furthermore, my out-of-sample trading experiments document economic significance of the restrictions.
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Title: Gas Turbine Vane Heat Transfer and Cooling Under Freestream Turbulence
Creator: Kanani, Yousef
Date: 2020
Description: The effects of the inflow turbulence on the fluid flow and heat transfer of a gas turbine passage flow have been investigated using wall...
Show moreThe effects of the inflow turbulence on the fluid flow and heat transfer of a gas turbine passage flow have been investigated using wall-resolved large eddy simulations. Numerical simulations are conducted in a linear vane cascade at different levels of inflow turbulence up to 12.4% at nominal exit chord Reynolds number of 500,000. At this Reynolds number and without any inflow turbulence, the boundary layer remains laminar on both sides of the vane. The presence of the velocity disturbances at the inlet augments the heat transfer on the leading edge and pressure side, triggers transition to turbulence over the suction side and alters the structure of the secondary flow in the turbine passage.The detailed analysis of the flow field indicates formation of large scale leading edge structures that wrap around the large leading edge and extend into both suction and pressure sides of the vane. These structures disturb the boundary layer and form streaky structures which augment the heat transfer on the pressure side. The perturbed boundary layer on the suction side eventually breaks up to turbulence due to the inner mode secondary instability which was reported earlier in a handful of studies.The vane and endwall heat transfer in regions affected by the secondary flows in the turbine passage are also studied in detail. A new representation on the origin and evolution of the passage vortex is presented. The passage vortex in the current geometry is originated from the pressure side passage circulation and not the pressure leg of the horseshoe vortex at the leading edge. Furthermore, it is observed that the distribution of the heat transfer coefficient on the endwall is significantly altered by the change in the level of the freestream turbulence and the approach boundary layer thickness. Finally, the effect of the freestream turbulence on the effectiveness of a slot cooling system in a symmetrical airfoil is studied. The large eddy simulations are conducted for a Reynolds number of 250,000 (based on the approach velocity and the leading edge diameter) and freestream turbulence levels of up to 13.7%. Current predictions capture the decay of the film cooling effectiveness at higher turbulence levels due to the higher mixing of the incoming hot gases and the coolant. It is been shown that the presence of arrays of pin fins in the preconditioning section of the slot cooling system plays a major role in the near field film cooling effectiveness and surface temperature distribution.
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Title: Foregrounding Temporality to Design with Emerging Futures
Creator: Heidaripour, Maryam
Date: 2020
Description: The rhetoric of today’s economy has framed entrepreneurship as a key contributor to inventing the future, which raises questions about who is...
Show moreThe rhetoric of today’s economy has framed entrepreneurship as a key contributor to inventing the future, which raises questions about who is counted as an insider, how the future is being designed, and for whom. The concentration of future-making has too long been in the hands of a few, given future’s tremendous impact on the many. This dissertation joins the growing body of scholarly explorations on channeling the design capacity to transition toward a future with a plural world system, where the economy offers a multiplicity of possibilities. Central to this exploration is to rethink how shaping futures might be done differently, with different people, and in different forms.By incorporating feminist temporality, I challenge the established mode of design investigation. My empirical chapters demonstrate the ways in which sharpening our temporal sensitivity could impact what we study, how we study it, and what we can find. In particular, I rearrange the power dynamics in design activities by opening up the position of knower to the emerging collectives. I then introduce the concept of designing a time-space yet to come that makes you wonder—an open invitation to rethink who we are and what we want to become.While it remains to be seen whether this contribution will have a meaningful impact on design knowledge, I argue that it makes a solid case for incorporating feminism in design. Feminist theory offers the theoretical underpinning for ontological reframing of design and helps us understand what other forms of design practice are emerging in this era of increasing complexity. I conclude with my take on an emerging design practice where the fundamental element of design is to enable other ways of knowing to inquire about what they truly want to become.
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Title: Socially Responsible Investing and Style Investing
Creator: He, Di
Date: 2020
Description: This study focuses on two popular investment strategies. The first one is a combination of socially responsible investing and factor investing...
Show moreThis study focuses on two popular investment strategies. The first one is a combination of socially responsible investing and factor investing (SRIF), it is therefore a comparison between factor investing portfolios and their corresponding ESG screened factor investing portfolios, aiming at indicating whether there is an opportunity costs or benefits of being responsible in factor investing. Opportunity cost is regarded if the ESG screened factor investing portfolios have lower raw return, Sharpe ratio, and risk-adjusted return than their respective factor investing portfolios. In addition to simply comparison, I also build an empirical SRI strategy, achieving real outperformance of SRI. For the second strategy, investing in R&D intensity (high technology) stocks results in significant positive alpha over 40 years. However, the alphas decrease significantly after the “Tech Bubble”, because investors nowadays prefer those technology firms who can produce true profits. I provide empirical evidence to investor sentiment, proving both risk bearing and investor sentiment play important roles in the positive association between R&D-intensive and excess return.In the first SRIF strategy, five widely-accepted factors in academic: value, size, profit, investment, and momentum are used to construct original single factor investing portfolio as benchmarks, which can naturally solve the benchmark bias, factor bias in previous literature at some extent. In addition to fulfill empirical industry’s generalities and constraints, this study also covers multi-factor framework and constructs different long-short positions for investment processing. Following considerations of ESG measurement (ESG_net and ESG_Industry, the latter one for calibration of industry bias), sample period (whole period and sub period), portfolio weighting methods (equally weighted and capitalization weighted), and after excluding undiversified portfolio, there are total 192 comparisons between factor investing portfolios and ESG screened factor investing portfolios for each measures of performance. Results suggest that most investors (80% - 90%) have to bear non-statistically significant opportunity costs if they want to be socially responsible in factor investing. In addition, the opportunity costs in sub period (2004-2017) is remarkably less in scale than those in whole period (1992-2017), indicating an obvious “time effect” that investors will have less opportunity costs recently with more and more ESG information is disclosed. For empirical consideration of industry, I build a double sorting factor portfolio on profit and value, and its ESG screened portfolio outperform the single factor portfolio.For the second research, R&D expense is a key component of investment. There is long history literature claim that there is a positive relationship between R&D and stock returns. There are two main explanations of the positive association, which are mispricing and risk bearing. This study separates whole sample into two periods: before “Tech Bubble” and after “Tech Bubble”, indicating that the mispricing is weaker after “Tech Bubble” than that in before “Tech Bubble”, while risk bearing is persistent. In addition, this study finds that the excess returns are relatively high for those highly subjective and difficult to arbitrage technology securities, which are small stocks, high volatility stocks, unprofitable stocks, non-dividend-paying stocks before the “Tech Bubble”, but almost vanish after the “Tech Bubble”. Therefore, investor sentiment does exist. While for those true earning technology securities, their excess returns are persistent, indicating compensation of risk bearing.
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Title: MEN, WOMEN, AND LEADERS: THE EFFECT OF GENDER-LEADER CATEGORY CONGRUENCE ON SUPERVISOR EVALUATIONS
Creator: Lauritsen, Matthew William
Date: 2020
Description: Researchers employing Schein’s (1973, 1975) paradigm, ubiquitously conclude that the greater conceptual distance between leaders and women...
Show moreResearchers employing Schein’s (1973, 1975) paradigm, ubiquitously conclude that the greater conceptual distance between leaders and women compared to leaders and men is problematic for women in leadership roles. Six hundred eighty participants were recruited from MTurk to rate men, women, and leaders on agency and communion. Using polynomial regression analysis, the category congruence hypothesis was tested using two theories as interpretive frameworks: implicit leadership theory (ILT) and role congruity theory (RCT). A strict congruence effect was not found for any of the models. The results generally supported ILT, supervisor evaluations were highest when perceived supervisor characteristics exceeded the respondents’ leader category expectations. The results did not support RCT’s hypothesis about the negative effects of incongruence of women and leader category. Supervisor evaluations were highest when respondents held traditional gender stereotypes, not when they were congruent with the leader prototype. However, a general incongruence effect was found between male communion stereotypes and leader communion stereotypes leading to lower evaluations for male supervisors. That is, for men supervisors, the highest ratings were associated with high communion ratings of both men and leader categories. The results of this study are further discussed in relation to gender-leader category congruence and leadership.
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Title: HOW DO SECONDARY STUDENTS MAKE DECISIONS ON SOCIOSCIENTIFIC ISSUES: WHAT DO THEY CONSIDER IMPORTANT?
Creator: LePretre, Dawnne M
Date: 2019
Description: Linking science and action is the epitome of scientific literacy (Hurd, 1972; Kuhn, 1972; Watson, 1969). Before becoming acting citizens,...
Show moreLinking science and action is the epitome of scientific literacy (Hurd, 1972; Kuhn, 1972; Watson, 1969). Before becoming acting citizens, students need to balance subject matter knowledge, personal values, and societal norms in decision-making (DM) on Socioscientific Issues (SSI) (Aikenhead, 1985; Grace & Ratcliffe, 2002; Kolstø, 2001; Zeidler, 1984). Existing literature suggests a variety of models and strategies to guide how students should think about SSI topics versus beginning with what students are thinking concerning SSI! This study aimed to identify the DM factors students considered across a variety of SSI and to determine if DM factors were common across topics or specific to a SSI. Students in grades 10-12 participated from seven schools and ten regular science classrooms, primarily located in a large Midwest city (n=498). The sample was 50% female, 50% male, and roughly 33% of students from each grade level.Across 60 enacted lessons on six different SSI topics, multiple sources of data were collected, including student artifacts, audiotapes of class discussions/interviews, field notes, and teacher surveys. Students engaged in a minimum of three different SSI topical lessons, implemented over a period between one to nine weeks for an average instructional time of 115 minutes per topic. Decision-making differed across students in various groupings, indicating that secondary students used both general and specific factors when making decisions on SSI. Further, trends emerged, indicating various student groups' valued DM factors differently. On several topics, students of different gender, grade levels, ethnicities, and school type considered different DM factors to different levels of support. For example, on the topic of plastics and pollution, 10th grade, female, and Hispanic students tended to identify concern for animals and sea life as their most prominent DM factor. Another trend included larger class sizes tending to cite more DM factors on a topic than students in smaller sized classrooms engaged on the same topic. Overall, 15 common or shared DM factors emerged that students considered when making decisions across multiple SSI contexts. In addition, each specific SSI context had between one and 15 specific or exclusive DM factors cited directly by students in this study.
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Title: Sustainable Solutions in Complex Spaces of Innovation
Creator: Nogueira, André Martins
Date: 2019
Description: Even though the interconnectivity between human activities and the integrity of ecological systems has long been recognized, the development...
Show moreEven though the interconnectivity between human activities and the integrity of ecological systems has long been recognized, the development of design practices that account for such interconnectivity can be considered relatively new. As such, contemporary institutions and their arrangements were not designed accordingly to their potential to promote sustainable and equitable flows of different types of resources; they lack the capability and structure to operate in the speed and scale in which humans are dynamically interacting with themselves, and with the natural environment. As the world has passed the 7.5 billion mark, such a condition is generating unintended socio-ecological-technical consequences being empowered by the fast-changing technology industry. New lenses and models for understanding the connectivity of social, ecological and technical systems underlying contemporary institutional arrangements are required to advance expertise in redirecting the flow of different types of resources for the sustainability of these systems. However, how humans perceive systems is largely framed by who is included in the discussion and the experiences and interests that they bring to bear. Even though there will always be a discrepancy between what is perceived, and the actual system at play, there are greater opportunities to expand such perception by drawing more deeply on systems thinking and the notion of resources. This dissertation advances design knowledge in the pursuit of bridging the gap between theoretical discourses and the pragmatism necessary to intervene socio-ecological-technical dynamics by exploring how designers might embed principles of sustainability into choice-making processes for innovation, and it proposes a new approach through which designers can advance their practices in enabling more sustainable flows of resources.
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Title: Nanopore Detection of Heavy Metal Ions
Creator: MohammadiRoozbahani, Golbarg
Date: 2019
Description: Nanopore sensing is an emerging analytical technique for measuring single molecules. Under an applied potential bias, analyte molecules are...
Show moreNanopore sensing is an emerging analytical technique for measuring single molecules. Under an applied potential bias, analyte molecules are transported through the nanopore and cause ionic current modulations. Accordingly, the fingerprint of the analyte is reflected in the signature of the current blockage events. Due to its advantages such as lable-free and multi-analyte detection, nanopore sensing technology has been utilized as an attractive versatile tool to study a variety of topics, including biosensing of different species, such as DNA, RNA, proteins, peptides, anions, and metal ions.Metal ions play a crucial role in human health and environmental safety. Although metal ions are essential for numerous biological processes, the presence of the wrong metal, or even the essential metals in the wrong concentration or location, can lead to undesirable results and serious health concerns, including antibiotic resistance, metabolic disorders, mental retardation, and even cancer. Therefore, it is still of prime importance to develop highly sensitive and selective sensors for metal ions.In this dissertation, various nanopore sensing strategies to detect metal ions will first be discussed. These include: a) construction of metal ion binding sites in the nanopore inner surface; b) utilization of a biomolecule as a ligand probe; and c) employing enzymatic reactions. Then, three projects will be summarized. Among them, two projects are involved with detection of non-essential metal ions: uranyl and thorium ions, while the other is targeted at essential element, zinc ion. To be more specific, uranyl and thorium ions are detected by taking advantage of peptide molecules as ligand probes. In this case, the event signatures of peptide molecules in the nanopore are significantly different in the absence and presence of metal ions, which might be attributed to the conformational change of the biomolecules induced by the metal ion-biomolecule interaction. On the other hand, zinc ion is detected based on enzymatic reaction: without Zn2+, ADAM17 (a zinc dependent protease) is inactive and cannot cleave peptide substrate molecules; in contrast, with Zn2+ ion in the solution, the enzyme was activated, and its cleavage of the peptide substrate produced new types of blockage events with smaller residence time and amplitude values than those the peptide substrate.
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Title: STAKEHOLDER FEEDBACK ON A NOVEL EMOTION REGULATION INTERVENTION FOR PRESCHOOL-AGE CHILDREN WITH DISRUPTIVE BEHAVIOR PROBLEMS: A THEMATIC ANALYSIS
Creator: Lossia, Amanda
Date: 2019
Description: Disruptive behavior disorders are among the most prevalent psychological disorders in preschoolers. There are evidence-based treatments for...
Show moreDisruptive behavior disorders are among the most prevalent psychological disorders in preschoolers. There are evidence-based treatments for these disorders, but clinically significant behavior problems persist in approximately one-fourth to one-third of children after treatment. These treatments consist of behavioral parenting interventions and are not designed to directly address children’s affective dysregulation, which is a core component of behavior problems. To address this limitation, a manualized intervention was developed to treat disruptive behavior in preschool-age children by specifically targeting their emotion regulation abilities as the mechanism of change by coaching the caregiver to scaffold the child’s emotion regulation strategy use. The purpose of the present study was to further the development of this intervention by obtaining feedback from key stakeholders (i.e., caregivers and therapists) on the intervention’s focus, content, and procedures. Obtaining this feedback is an essential component of developing a novel psychosocial intervention. A qualitative thematic analysis of in-depth focus group discussions was conducted. Data were organized into the following broad themes: Intervention approach (support for targeting emotion regulation but ensuring the approach is an appropriate fit and considering the important role of behavioral strategies; additional focus on facilitating a positive caregiver-child relationship; developing some independent regulation skills in the child), Intervention structure and session content (making the intervention structure more flexible or modular; retaining the main intervention components with modifications to enhance acceptability, relevance, and developmental appropriateness), The caregiver’s role (the caregiver’s role is of primary importance and should be active throughout all sessions; ensuring adequate caregiver preparation and skill development; additional primary focus on facilitating the caregiver’s own emotion regulation; attention to the caregiver’s own therapeutic needs), Individualized approach (individualizing the content and timing of all sessions to account for individual needs), Generalizability (ensuring generalization of skills to home and other settings through effective at-home practice and including other primary caregivers and family members in sessions), and Learning and skill development (considering individual differences in how children and caregivers learn and modifying activities accordingly). These themes and stakeholders’ specific feedback will guide revisions to the intervention manual prior to pilot testing and further examination of efficacy and effectiveness.
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Title: The Role of Ethnic Similarity, Perceived Communication Style Deviation, and Cultural Intelligence in Leader-Member Exchange and Trust
Creator: Polyashuk, Yelena
Date: 2019
Description: This study examined those factors that contribute to a better working relationship between a leader and a subordinate or make that working...
Show moreThis study examined those factors that contribute to a better working relationship between a leader and a subordinate or make that working relationship challenging. Specifically, we investigated the effect of ethnic configuration within the leader-subordinate dyad and perceived dissimilarity on Leader-Member Exchange (LMX) and trust. Communication style deviation was tested as a mediator between actual, as well as perceived dissimilarity and relational outcomes. Cultural Intelligence (CQ) was included as a moderator, the presence of which could ameliorate the negative impact of dissimilarity on LMX and trust. In order to test these predictions, a survey was administered to 614 participants. Participants were working students at an urban, Midwestern, public university. Results showed that in presence of low CQ among respondents, there was a negative impact of ethnic dissimilarity on LMX. However, no impact of ethnic similarity/dissimilarity on trust was found. Specific dyad composition of the leader-subordinate dyad had no significant impact on LMX or trust. Finally, communication style deviation partially mediated the relationship between perceived dissimilarity and the two outcome variables of LMX and trust. These findings revealed that in order to build a high-quality relationship within an ethnically diverse leader-subordinate dyad, both CQ and alignment in communication style are of consequence.
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Title: A SYSTEMATIC APPROACH TO UNDERSTANDING ALIGNMENT BETWEEN THE EXISTING AND SELF-ADOPTED ENVIRONMENTAL EDUCATION STANDARDS: UNITED STATES SIXTH TO TWELFTH GRADE ENVIRONMENTAL SCIENCE STANDARDS
Creator: Connell, Margaretann Grace
Date: 2019
Description: The purpose of this thesis was to conduct a systematic approach to determine the alignment between the existing and self-adopted science 6th...
Show moreThe purpose of this thesis was to conduct a systematic approach to determine the alignment between the existing and self-adopted science 6th-12th grade EE science standards for 10 U.S. National States (6th-8th [AZ; ID; MA; WY]) and (9th-12th [NE; NYS; OH; PA; SC; TX]). The criteria for States’ selection were based on States with SASS (non-NGSS adoption) and 2) demographics - random selection from the 10 U.S. EPA Regions. The Existing Environmental Education Standards (EEES) (GCDEE, Hungerford et al., 1980; NAAEE Guidelines, Simmons, 2010a; Tbilisi, UNESCO, 1978) were aligned with the 10 States. The investigation was conducted by a DCA (Mayring, 2002). Data were analyzed using MAXQDA 2018.1(VERBI, 2017), judged by a Content Match (La Marca et al., 2000), and measured by the adapted criteria for Categorical Concurrence and Range of Knowledge Correspondence (Webb, 1999). Instruments to score the output were: 1). CEEI – Tbilisi/GCDEE (K-12), and EEI – NAAEE Guidelines (6-8; 9-12). Results for the Content Match of the EEES revealed that 50% of the States were Partly Aligned and other 50% were Not Aligned with the NAAEE Guidelines Code Coverage. Additionally, the Content Match with Tbilisi/GCDEE revealed that 20% of the States (OH, PA) were Fully Aligned and the other 80% Partly Aligned . The States’ science standards ability to reach appropriate levels of alignment was due to the scientific specificity of those States with implicit EE standards. Moreover, it was difficult to come to a common ground to expect complete alignment based on the socioecological approaches and interdisciplinary nature (Kyburz-Graber, 2013; Simmons, 2010a) of the EEES. Therefore, it is now left up to the policymakers at the State levels to work with stakeholders and come to a consensus in support of EE standards that are relevant, fair, and balanced with multidisciplinary, socioecological approaches to promote of an environmentally literate citizenry.
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Title: KINETIC MODEL FRAMEWORKS OF ANIMAL CELL CULTURES FOR CONTROL AND OPTIMIZATION
Creator: Yilmaz, Denizhan
Date: 2019
Description: This dissertation proposes four different kinetic model frameworks that havebeen developed for optimization and control of monoclonal antibody...
Show moreThis dissertation proposes four different kinetic model frameworks that havebeen developed for optimization and control of monoclonal antibody producing mammalian cell cultures to improve biopharmaceutical production by decreasing the costof trial and error experimentation. The developed models mainly describe the transient metabolic behavior of mammalian cell culture under different culture conditionsand predicts cell growth and death, cell metabolism, and monoclonal antibody synthesis, and production. These models are developed via ordinary differential equationsbased on the assumption of well-mixing reactor. All developed models were calibrated, and their predictive capabilities were tested with experimental reports published in the literature. Good agreement was obtained between model predictions and experimental data. The presented results illustrate that the developed models successfully describe and predict the transient behavior of mammalian cell cultures and can be a useful tool for biopharmaceutical production.
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Title: TRANSIENT STABILITY SIMULATION OF COMBINED THREE-PHASE UNBALANCED TRANSMISSION AND DISTRIBUTION NETWORKS
Creator: Alsharief, Yagoob
Date: 2019
Description: Historically, transmission (T) system and distribution (D) system analysis has been done separately. The main reasons are 1) different...
Show moreHistorically, transmission (T) system and distribution (D) system analysis has been done separately. The main reasons are 1) different modeling frameworks, i.e., positive-sequence versus three-phase unbalanced, 2) system size, and 3) lack of dynamic two-way interaction between T&D. The typical power system usually consists of tens of thousands of transmission buses and thousands of distribution feeders with hundreds of customers per feeder. In the past, distribution networks have been largely passive with relatively little dynamic interaction with the transmission network. However, due to the new trends that the electric grid has been witnessing in the last decade with the installation of distributed energy resources (DERs) on the distribution level, such as behind-the-meter generation and energy storage units, electric vehicles, etc., dynamic simulation tools for combined T&D will become necessary in the near future. These tools will aid system operators and planning engineers in understanding the impact of these new trends on large-scale power systems. Taking advantage of the advancements in the field of high performance computing and parallel computing could enable accurate, wide-area T&D dynamics simulation. These comprehensive simulation capabilities would dramatically improve our ability to predict the complex interactions among DERs, customer loads and traditional utility control devices, thereby allowing higher penetrations of renewable energy, electric vehicles and energy storage.
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Title: DUST MITIGATION OF MICRO-STRUCTURED (GECKO-LIKE) ADHESIVES
Creator: Alizadehyazdi, Vahid
Date: 2019
Description: Controllable adhesives (i.e. those capable of being turned on and off) are used in a wide range of applications including robotic grippers and...
Show moreControllable adhesives (i.e. those capable of being turned on and off) are used in a wide range of applications including robotic grippers and climbing robots. Electromagnets, suction, and microspines have been used to meet this demand, but are typically limited to a specific substrate roughness or material. Microstructured (gecko-like) adhesives on the other hand, offer the potential to be the most universal among controllable adhesives since they can work on a wide variety of surfaces. The development of microstructured (gecko-like) adhesives has focused almost solely on their adhesive strength. However, for practical applications, especially in real-world environments, the adhesive's long-term performance is arguably equally important. One impediment to long-term viability is the adhesive's susceptibility to contamination, which decreases adhesion significantly. To have practical microstructure adhesives in real-world environments, the detrimental effect of dust and other contaminants should be dealt with. The first general approach involves removing adhered dust particles. The second approach is to create adhesives that minimize dust adsorption such that extensive cleaning is not necessary or they can be removed easily. Regarding the first approach, this research describes the use of electrostatic forces and ultrasonic vibration to repel dust particles. Results are non-destructive, non-contact cleaning methods that can be used in conjunction with other cleaning techniques, many of which rely on physical contact between the fibrillar adhesive and substrate. Electrostatic cleaning results show that a two-phase square wave with the lowest practically feasible frequency has the best cleaning results. Combining electrostatic and ultrasonic cleaning results in far higher efficiency than when using electrostatic repulsion or ultrasonic alone. Moreover, I showed that the piezoelectric element in the ultrasonic cleaning method can also be used as a releasing mechanism to turn the adhesive off and as a force/contact sensor. Regarding the second approach, I experimentally explored the effect of the modulus of elasticity, work of separation, and work of adhesion (adhesion energy) on the shear stress and particle detachment capabilities of microstructured adhesives. Particle removal is evaluated using both non-contact cleaning methods (centripetal force and electrostatic particle repulsion) and a dry contact cleaning method (load-drag-unload test). Results show that for a material with a high work of separation, high elastic modulus, and low work of adhesion, it is possible to create a microstructured adhesive with both high shear stress strength and low adhesion to dust particles. Results also show that, for dry contact cleaning, shear stress recovery mostly stems from particle rolling and not particle sliding. Moreover, shear test results show that augmenting the microstructured adhesive with electrostatic adhesion can reduce the negative effects on adhesion of a high elastic modulus materials' conformability to a substrate by providing a preload to the microstructured elements. Finally, I applied mentioned dust mitigation methods on two different gecko-like adhesives grippers. The first design was used to pick up flat objects, while the second one is designed to grip curved objects of different shapes and sizes. Since the second gripper is flexible and piezoelectric is stiff (it can only be applied to rigid backings), only electrostatic dust mitigation is applicable.
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Title: STRATEGIES TO MAXIMIZE DOSE REDUCTION IN SPECT MYOCARDIAL PERFUSION IMAGING
Creator: Juan Ramon, Albert
Date: 2019
Description: Radiation exposure in medical imaging has become a topic of major concern, gaining intense attention within the clinical and research...
Show moreRadiation exposure in medical imaging has become a topic of major concern, gaining intense attention within the clinical and research communities. In 2009, the National Council on Radiation Protection and Measurements (NCRP) announced radiation exposure of patients via medical imaging increased more than sixfold between the 1980s and 2006, with cardiac nuclear medicine, specifically myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT) being the second biggest culprit. The goal of this work is to evaluate several strategies to enable radiation dose to be minimized while maintaining current levels of diagnostic accuracy in the clinic. We achieve dose reduction through optimization of advanced image reconstruction strategies, to obtain higher-quality images at a given dose (noise) level, through a machine learning approach to predict the optimal dose for each patient, and through advanced deep learning (DL) algorithms to improve the quality of reconstructed images. Our ultimate objective is to provide the nuclear cardiology field with a new set of algorithms and guidelines for selecting administered activity levels and image reconstruction procedures in the clinic. The project is based on a clinical study in which imaging and various other data are being collected for a set of patients. The project has the following components. First, we investigate a global dose-reduction approach (i.e., reducing dose by a uniform proportion across all patients) via optimization of image reconstruction strategies. Specifically, we maximize perfusion-defect detection (diagnostic accuracy) over a range of simulated dose levels using clinical data into which we have introduced simulated defects. We measure diagnostic performance using clinically validated model observers from the Quantitative Perfusion SPECT (QPS) software package. We investigate the diagnostic accuracy over a range of dose levels ranging from those currently used in the clinic down to one-eighth of this level. We consider the following image-reconstruction: filtered-backprojection (FBP) with no correction for physics effects, and ordered-subsets expectation-maximization (OS-EM) with several combinations of attenuation correction (AC), scatter correction (SC), and resolution correction (RC).Second, we propose a patient-specific ("personalized") dose reduction approach based on machine learning that aims to predict the minimum radiation dose needed to obtain consistent perfusion-defect detection accuracy for each individual patient. This prediction is based on patient attributes, especially body measurements, and various clinical variables. We compare the diagnostic accuracy produced by predicted personalized doses to that produced by standard clinical dose levels to validate the predictive models.Third, we verify that the dose minimization results obtained in the context of perfusion-defect detection also maintain diagnostic accuracy in evaluating cardiac function, as characterized by myocardial motion.Finally, we propose a deep learning (DL) method to denoise SPECT-MPI reconstructed images. The method is a 3D convolutional neural network trained to predict standard-dose images from low-dose images. We quantify the extent to which dose reduction can be achieved using the proposed DL structure when dose is reduced uniformly across patients or by means of our patient-specific approach.
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Title: SI NANOSTRUCTURED COMPOSITE AS HIGH PERFORMANCE ANODE MATERIAL FOR NEXT GENERATION LITHIUM-ION BATTERIES
Creator: He, Qianran
Date: 2019
Description: Silicon has attracted huge attention in the last decade as the anode material for Li-ion batteries because it has a theoretical capacity ∼10...
Show moreSilicon has attracted huge attention in the last decade as the anode material for Li-ion batteries because it has a theoretical capacity ∼10 times that of graphite. However, the practical application of Si is hindered by three major challenges: large volume expansion during cycling (∼300%), low electrical conductivity, and instability of the SEI layer caused by repeated volume changes of the Si material. Our study focused on novel design and synthesis of Si anodes that can solve all the key problems of Si anodes simultaneously. The Si micro-reactors we designed and synthesized contain well-designed internal structures, including (i) nanoscale Si building blocks, (ii) the engineered void space, and (iii) a conductive carbon shell. Because of these internal structures and nitrogen doped carbon shell, these sub micrometer-sized Si particles are termed as Si micro-reactors and denoted as Si@void@C(N). According to our electrochemical results, the as-synthesized Si micro-reactors could live up to 1000 charge/discharge cycles at high current densities (up to 8 A/g) while still providing a higher specific capacity than the state-of-the-art carbonaceous anodes. Our investigation shows that the unique design of Si@void@C(N) has a relatively low specific surface area (SSA) which significantly reduces the undesired surface side reactions and increases ICE to 91%, while the engineered voids with nano-channel shape inside the structure can accommodate Si volume expansion and keep the structure and SEI layer stable. Furthermore, the porous N-doped carbon shell along with nano-channeled voids allows rapid lithiation of the Si micro-reactor without Li plating during ultrafast charging. As a result, Si@void@C(N) exhibits ultrafast charging capability with high ICE, superior specific capacity and long cycle life.
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Title: INDUSTRIALIZED BUILDING CONSTRUCTION MODELS FOR TORNADO AFTERMATH RECOVERY
Creator: Alves de Carvalho, Augusto
Date: 2019
Description: Some researchers have reported that the number of disasters is expanding in scale and occurrences. Today, humanity occupies more land than...
Show moreSome researchers have reported that the number of disasters is expanding in scale and occurrences. Today, humanity occupies more land than forty years ago. Due to this, existing communities are prone to higher chances of being affected by disasters. Consequently, the number of natural disasters and losses have increased through time. Recent research work indicates that construction of new houses takes the majority of the recovery time; for example, In Joplin tornado aftermath, the development of new houses took the longest part of the recovery time (D. J. Smith & Sutter, 2013). The disaster industry sees housing and shelter as a product. The procurement is done on a necessity basis. The product --tents, inter-shelters, trailers, permanent dwellings, or any property to rent-- has to be ready whenever required. Therefore, after calculating the construction capacity in tornado regions, a methodology is proposed to compare four different robust industrialized building construction alternatives, keeping components, modules, and pieces in stock. Comparing them will provide information about which format is more appropriate for a profitable company or even a public entity, to respond and recover from a disaster faster.
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Title: Comparison of an Ideal Point and Dominance IRT Model on the Detection of Differential Item Functioning with DFIT
Creator: Spizzuco Jr, Daniel
Date: 2019
Description: Item response theory (IRT) models can assume a variety of forms including,notably, dominance and ideal point-based probability distributions....
Show moreItem response theory (IRT) models can assume a variety of forms including,notably, dominance and ideal point-based probability distributions. But researchers haveonly recently begun to explore issues related to the above distinction. The current studytherefore examines whether model-data fit and rates of differential item functioning (DIF)detection remain comparable when data are analyzed via the ideal point-based generalizedgraded unfolding model (GGUM) vs. the dominance-based graded response model (GRM).To address these issues, item response data were simulated to contain dominance,ideal point and mixed response processes, and DIF and impact scenarios. Results indicatedthat model-data fit and DIF detection accuracy were not as closely aligned as anticipated.Overall, the GGUM fit data better than the GRM to the extent that any ideal point processeswere present, while the GRM was slightly better at fitting dominance-only data. With noimpact, however, the GGUM fit all embedded response data types better than the GRM.Results were mixed among impact scenarios. This pattern was found in both no DIF and DIFscenarios.Several points were made with respect to the DIF portion of the study. First, Type 1error rates were in most cases quite conservative for both models. Second, study-wide,more power emerged with dominance as compared to ideal point data for both models.Moreover, in no impact conditions, slightly more power accrued via the GGUM fordominance and ideal point data. With impact, however, the GRM produced somewhat morepower across data types. Third, in terms of DIF patterns/sources, power was high for bothmodels when DIF was embedded on the full set of location/threshold parameters, andlower with fewer differentially functioning (DF) location/threshold parameters. Notably,the GGUM was slightly more powerful in the fewest DF location/threshold scenarios, andthe GRM was more powerful in the most DF location/threshold scenarios. Fourth, neithermodel performed well in the complex within-item cancelling DIF scenarios. These patternsgenerally occurred in both uniform and non-uniform scenarios. The paper concludes with apresentation of recommendations, study limitations and issues for future research.
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Title: HETEROGENEOUS CATALYST FOR ALKANE DEHYDYGENATION AND IMPLEMENTING TO SOLID OXIDE FUEL CELL
Creator: Xu, Yunjie
Date: 2019
Description: In the past decade, shale gas has become the most import source of natural gas in the United States. Large amounts of light alkanes in shale...
Show moreIn the past decade, shale gas has become the most import source of natural gas in the United States. Large amounts of light alkanes in shale gas, such as methane, ethane, and propane are available as an industrial source of chemicals through the catalyzed, on-purpose light alkane dehydrogenation to olefins. Therefore, it is obvious there is a benefit to developing catalysts to directly convert shale gas to olefins. However, alkane dehydrogenation and non-oxidative methane coupling are thermodynamically unfavorable reactions at low temperatures. The energy requirements make these reactions less attractive for shale gas utilization. In principle, consuming the hydrogen product with a fuel cell can drive the thermodynamically unfavorable reaction by reducing the hydrogen partial pressure in the anode and by heat generating by the fuel cell, while also generating electricity in the process. Moreover, catalyst integration with fuel cell can facilitate the transfer of charge in anode which is rate determine step in the fuel cell. This thesis will focus on catalyst development for alkane dehydrogenation and exploring a way to integrate these catalysts with fuel cells.Chapters 2, 3 and 4 focus on designing, characterizing, and studying catalysts for non-oxidative coupling of methane (NOCM) and propane dehydrogenation (PDH). PtM (M is a transition metal) alloys were found to efficiently decrease the desorption energy of olefin products and avoid deeper C-H bond activation compared to metallic Pt. Based on the previous study of single cobalt on silica, a novel synthesis of PtCo3 was developed to further increase the activity of the PDH reaction. The Pt bimetallic catalyst made by novel synthesis route was proven to be one of several types of alloy. It was observed that extremely high conversion of PDH and high selectivity of target olefin were catalyzed by PtCo3/SiO2. Ga, as another promotor to replace Co, was also investigated. As expected, PtGa3 alloy was formed by a similar synthesis, and it showed extraordinary stability and activity for propane dehydrogenation. A Mo-Pt dual-metal catalyst was found to catalyze methane coupling even though Pt-Mo bimetallic alloys do not form. We hypothesize that Pt catalyzed C-H bond cleavage of CH4 to form methyl radical, and a MoOC species, formed by MoO3 reacting with CH4, could effectively facilitate methyl radical coupling to form larger alkanes and alkenes. Pt-Mo dual-metal catalyst had higher catalytic activity for methane coupling than a physical mixture of Pt and Mo and genuine PtMo alloy. Chapter 5 details our efforts to transplant PtM catalysts from silica support to target fuel cell material--(La,Sr)(Cr,Fe)O3 as a support. Different catalyst structures were observed, and, in this case, second transition metals become a barrier to prevent Pt aggregation. When using propane as fuel for fuel cell, we observed electrochemical redox reactions occurred via electrochemical analysis. However, the resistance of cell is comparatively high and limited overall system performance. Chapter 6 details a study of the impact of the electrode oxide phase on overall cell performance. In this case, we conducted a fundamental study of degradation of cathode material, (La,Sr)(Co,Fe)O3. We found that raw material and cells can degrade even under room temperature. Thus, the storage of raw powder and fabricated cells is critical for performance studies. This also indicates that our high cell resistance in previous electrochemical measurements could come from the insulating compound formation during storage. Some directions for future research on catalyst integration and electrochemical testing are outlined.
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