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- Title
- The Aging Mind and Body in Eighteenth-Century British Literature and Culture, 1680-1830
- Creator
- Oh, June Young
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Aging Mind and Body offers a literary history of the concept of aging between 1680 and 1830. I trace the interplay between the century’s literature and developing medical theories of the human body, revealing the long eighteenth century to be a crucial cultural moment that transformed what aging meant both for writers and for the broader public. While in the early modern period authors predominantly associated aging with wisdom and spiritual growth, Enlightenment science reconceived aging as...
Show moreAging Mind and Body offers a literary history of the concept of aging between 1680 and 1830. I trace the interplay between the century’s literature and developing medical theories of the human body, revealing the long eighteenth century to be a crucial cultural moment that transformed what aging meant both for writers and for the broader public. While in the early modern period authors predominantly associated aging with wisdom and spiritual growth, Enlightenment science reconceived aging as radically debilitating for both the body and the mind. I argue that this shift spurred significant literary innovations as writers exploited, negotiated, and subverted scientific assumptions about growing old. Excavating the history behind the emergence of derogatory terms for aging such as “senility” and “senescence,” I show that the literary portrayal of aging was effectively turned into a contested site for reimagining normative human life and progress. Each of my chapters examines a different supposed problem of aging—rising immobility, mental disability, changing physical appearance, and declining sexuality—as it emerges in the major works of Daniel Defoe, Jonathan Swift, Lady Mary Wortley Montagu, Mary Leapor, John Cleland, and Jane Austen. In particular, I undertake a critical re-reading of aging as it intersects with racism, sexism, ableism, and classism. Reading these works in terms of aging, I argue, complicates our traditional story of the long eighteenth century’s attention to progress, revealing not simply an ongoing struggle to marginalize the aging mind and body but also an important literary attempt that refigured “decline” as a constitutive and meaningful part of the whole life experience.
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- Title
- Trade, Finance & the Macroeconomy
- Creator
- Rowe, Nicholas
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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This paper investigates the effects of financial development on firm export when lenders specialize in lending against different borrower activities. Using Italian microdata on manufacturing firms, we document that financial development driven by locally-focused banks can boost export participation but can depress the export sales of incumbent exporters. We explain these patterns through an industry equilibrium model of international trade with heterogeneous firms and banks. Locally-focused...
Show moreThis paper investigates the effects of financial development on firm export when lenders specialize in lending against different borrower activities. Using Italian microdata on manufacturing firms, we document that financial development driven by locally-focused banks can boost export participation but can depress the export sales of incumbent exporters. We explain these patterns through an industry equilibrium model of international trade with heterogeneous firms and banks. Locally-focused financial development eases the entry of credit-rationed firms into export by increasing the pledgeability of their domestic inventory assets; however, it also induces credit-satiated exporters to partly redirect their production capacity to domestic markets. Model calibration reveals that when financial development is too local, increased domestic output and export participation can come at the cost of reduced aggregate exports.
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- Title
- EXPERIMENTAL ANALYSIS AND MODEL DEVELOPMENT OF DUAL MODE, TURBULENT JET IGNITION (DM-TJI) ENGINE OPERATING WITH GASOLINE AND ALTERNATIVE FUELS
- Creator
- Ayele, Yidnekachew Messele
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Gasoline fuel is the most convenient energy source for light-duty vehicles in energy density and refueling time. However, the emission regulations for internal combustion engines force the industry to exploit innovative combustion technologies. The spark-ignition engine was forced to be cleaner and more efficient, changing from regular combustion engines to a more advanced internal combustion engine and electrification. The current scenario shows that automotive companies and researchers are...
Show moreGasoline fuel is the most convenient energy source for light-duty vehicles in energy density and refueling time. However, the emission regulations for internal combustion engines force the industry to exploit innovative combustion technologies. The spark-ignition engine was forced to be cleaner and more efficient, changing from regular combustion engines to a more advanced internal combustion engine and electrification. The current scenario shows that automotive companies and researchers are exploring hybrid powertrains with advanced internal combustion engine technologies with electrification or pure electric vehicles. The Dual Mode, Turbulent Jet Ignition (DM-TJI) system is one of the promising advanced combustion systems, powered by active air/fuel scavenging pre-chamber ignition systems. The distributed ignition sites created by the pre-chamber flames improve the combustion engine's efficiency, simultaneously mitigating combustion knock at a high engine compression ratio and enabling lean-burn or high level of external EGR dilution operation. This study analyzes the performance of a single-cylinder DM-TJI metal engine with gasoline and alternative fuels. The first part of the study presents the experimental investigations on three pre-chamber nozzle orifice diameters at various engine speeds and 10 bar engine load. The combustion parameters for each tested orifice diameter are presented for the incremental engine speeds. A numerical analysis was conducted using the GT-Power model simulation tool to support the experimental result. The DM-TJI engine's maximum gross indicated efficiency was examined and found to be 44.56%, with a higher EGR dilution rate of 45%. This orifice diameter study reported on the first published results of the desertion. Additional experimental data were collected for the selected orifice diameter at a wide range of engine operating test matrices. A predictive engine model was introduced with experimental data validation. The experimental data and predictive model generated the engine performance and fuel map for a real-world fuel economy study. Conventional and hybrid powertrain vehicles were developed with GT-Suite commercial software. Each powertrain model was calibrated in terms of components (battery, electric motors) capacity, internal combustion engine operative points, energy management strategy, and gear ratios with chassis dynamometer measured data of the vehicle drive cycle. A selected U.S. Environmental Protection Agency (EPA) driving schedule was implemented on the GT-Suite powertrain. The DM-TJI engine drive cycle fuel economy is compared to an industry-based conventional vehicle with the same powertrain except for the engine map. The results show the DM-TJI engine fuel economy improvement between 10.5%-17.29% and CO2 emissions reductions between 9.51%-14.75% for the selected driving schedule. Mild and parallel hybrid powertrain further improve the fuel economy by 9.23% and 29.88%, respectively, compared to the conventional powertrain of the DM-TJI engine. The CO2 emission was reduced by 23%. Finally, the single-cylinder DM-TJI metal engine performance under different alternative fuels was studied. An experimental test was carried out at stoichiometric conditions with different fuels, engine speed, engine load, and EGR dilution rates. Compared to gasoline fuel, E80 ethanol blend fuel produces 4.47% less CO2 and 25.75% less CO emission, and methane fuel produces 27.91% less CO2 and 57.85% less CO emission. E80 ethanol blend has the highest indicated efficiency of 45.61% with 45% EGR dilution. Methane fuel has a maximum indicated efficiency of 45.03% with 38.5% EGR dilution.
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- Title
- TEACHERS’ BELIEFS, PERCEPTIONS, EXPERIENCES, AND STRATEGIES IN TEACHING AND ENGAGING MULTILINGUAL LEARNERS IN MATHEMATICS CLASSROOMS
- Creator
- Kursav, Merve Nur
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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The number of Multilingual Learners (MLs) enrolled in U.S. schools increased from 8.1% of the total student population to more than 10% between the 2000-2001 school year and the 2016-2017 school year (NCELA, 2016; U.S. Dept. of Education, NCES, 2020). Like all learners, MLs need support to ensure their engagement in mathematics classrooms (Kena et al., 2015; Silva & Kucer, 2016). While the number of MLs has been increasing, there has been limited research about how teachers support these...
Show moreThe number of Multilingual Learners (MLs) enrolled in U.S. schools increased from 8.1% of the total student population to more than 10% between the 2000-2001 school year and the 2016-2017 school year (NCELA, 2016; U.S. Dept. of Education, NCES, 2020). Like all learners, MLs need support to ensure their engagement in mathematics classrooms (Kena et al., 2015; Silva & Kucer, 2016). While the number of MLs has been increasing, there has been limited research about how teachers support these students’ engagement in content area classrooms (Hos, 2016). A notable paucity of studies focuses specifically on mathematics teachers’ experiences supporting MLs’ learning and engagement in mathematics classrooms (Warren et al., 2014). This study investigated mathematics teachers' beliefs, perceptions, experiences, and strategies in teaching and engaging MLs in 6th -12th grade mathematics classrooms. The dissertation study contributes to the field of mathematics education by providing practical and theoretical implications.This dissertation is built on an extensive review of the relevant literature about 6th-12th-grade mathematics teachers’ beliefs, perceptions, and experiences in teaching and engaging MLs in the mathematics classroom. I used a combination of Teacher Cognition (TC) and Culturally Responsive Teaching (CRT) as the theoretical framework. Mixed methods were used, and data were collected in two phases: (1) quantitative data (i.e., adapted survey using Karabenick and Noda’s (2004) survey and Rhodes’s (2017) CRT survey) and (2) qualitative data (i.e., teacher interviews). Results revealed that teachers frequently used appropriate materials, instructional resources, standards, objectives, scaffolding strategies (e.g., grouping, pacing, wait time, transparency in teaching, comprehensible input), and assessment tools to support MLs’ learning and engagement in the mathematics classroom. Data sources clearly illustrated that teachers strongly agreed they were comfortable with having MLs in their classroom and were willing to support MLs in learning mathematics by boosting their engagement. The results also showed that teachers needed to (1) learn and design strategies for academic support of MLs, (2) learn about the systematic school and district resources available to support for MLs’ identification and placement; (3) learn about district and school-level supports available at the administrator level; (4) make data-driven decisions about curriculum and instruction for MLs; (5) have more willingness to work with MLs; (6) have professional development and support for culturally responsive teaching and MLs' learning and engagement; (7) notice their beliefs about language acquisition (bilingualism and translanguaging); (8) establish inclusion; (9) encourage autonomy and cultural awareness of students and collaborative decision making with all; (10) establish trust and relationships; and (11) provide transparent feedback and assessment. It is believed that the results of the study will help teachers of MLs to comprehend the prominence of culturally responsive teaching. Additionally, implications include advising policymakers to acknowledge that covering the curriculum in a timely manner for MLs is not enough for sustained success.
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- Title
- Neutron-unbound states in the nucleus 31Ne
- Creator
- Chrisman, Dayah Nichole
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Studies of nuclei far from stability reveal trends among groups of neighboring nuclei where new and unexpected properties appear. One such region, the Island of Inversion near the N=20 shell gap, is home to nuclei with reordered single-particle energy levels compared to the spherical shell model. Studies of the 31Ne nucleus have revealed that its ground state has a halo component, characterized by a valence neutron orbiting a deformed 30Ne core. This lightly-bound nucleus with a separation...
Show moreStudies of nuclei far from stability reveal trends among groups of neighboring nuclei where new and unexpected properties appear. One such region, the Island of Inversion near the N=20 shell gap, is home to nuclei with reordered single-particle energy levels compared to the spherical shell model. Studies of the 31Ne nucleus have revealed that its ground state has a halo component, characterized by a valence neutron orbiting a deformed 30Ne core. This lightly-bound nucleus with a separation energy of Sn=0.15(+0.16, -0.10)$~MeV is expected to have excited states that are neutron-unbound. This work presents a first study of the neutron-unbound excited states of 31Ne. Neutron-unbound states in 31Ne were populated in a two-proton knockout reaction from an 89 MeV/u 33Mg beam incident on a segmented Be reaction target. The 30Ne fragment and associated neutron from the decay of 31Ne* were detected by the MoNA-LISA-Sweeper experimental setup at the National Superconducting Cyclotron Laboratory. Invariant mass spectroscopy was used to reconstruct the two-body decay energy (30Ne+n).The two-body decay energy spectrum exhibits two features: a low-lying peak at 0.30 (+/- 0.17) MeV and a broad enhancement at 1.50 (+/- 0.33) MeV, each fit with an energy-dependent asymmetric Breit-Wigner line shape representing a resonance in the continuum. Accompanying shell model calculations combined with cross-section calculations using the eikonal reaction theory indicate that these features in the decay energy spectrum originate from multiple resonant states in 31Ne.
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- Title
- Environmental Microbial Surveillance : From Source Tracking in Watersheds to Pathogen Monitoring in Sewersheds
- Creator
- Flood, Matthew Thomas
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Understanding of the connections between water and health, through the use of water quality monitoring, surveys and surveillance, can help to address the impacts of anthropomorphic changes on the environment. This study sought to understand these connections through the water quality monitoring within watershed basins as well as pathogen surveillance within sewersheds. Specifically, this dissertation sought to 1) understand the sources of pollution and their connections with land use in the...
Show moreUnderstanding of the connections between water and health, through the use of water quality monitoring, surveys and surveillance, can help to address the impacts of anthropomorphic changes on the environment. This study sought to understand these connections through the water quality monitoring within watershed basins as well as pathogen surveillance within sewersheds. Specifically, this dissertation sought to 1) understand the sources of pollution and their connections with land use in the various subsections of watersheds; 2) to find a cost-effective way to surveil the spread of SARS-CoV-2 using wastewater surveillance; and 3) to understand the differences in wastewater surveillance between communities. Water quality monitoring using microbial source tracking (MST) was performed with a survey of five mixed-use watersheds in Michigan. Through the use of spatial clustering, it was found that temporal contamination was primarily driven by precipitation and its associated variables (e.g., streamflow, turbidity, overland flow), while spatial contamination is driven by land uses (e.g., septic tank density, tile drain proportions, and tillage). Additionally, porcine fecal contamination was more often correlated with nutrients in streams than either bovine or human contamination. The development of a cost-effective workflow for the detection and quantification of SARS-COV-2 in wastewater was undertaken. Wastewater from communities around Michigan were collected and analyzed along with viral surrogates for SARS-CoV-2 to investigate different workflow options. The Pseudomonas phage Phi6 was seeded in different wastewater matrices to test concentration and recovery by ultrafiltration-based method and polyethylene glycol (PEG) precipitation. The PEG method provided better virus recovery than the ultrafiltration-based methods as measured using RT-ddPCR. The comparison of two communities (A and B) wastewater results for SARS-CoV-2 analyzed against case data was undertaken. These results were significantly correlated with cases in both communites, but the level of correlation differed based on spatial (e.g., zipcode vs county level cases) and temporal (e.g., date of symptom(s) onset vs. the referral date for cases) resolution. Wastewater surveillance was more representative of higher spatial resolution (zipcode data) of cases in both communities. When examining the temporal resolution of the communities, community B’s wastewater results were more closely tied to the onset of symptoms and not the case referral date. The ability to monitor indicators of pollution in watersheds and surveil etiological agents of disease in sewersheds provide non-intrusive methods for evaluating the potential risks and current burdens to community health. The first part of the work could be considered “downstream” monitoring identifying sources and potential exposures with the goal of reducing waterborne disease. While “upstream” monitoring was used for identifying the disease trends in the community and was focused on public health measures to prevent transmission. This project contributed novel methods, results and analysis providing valuable knowledge ultimately addressing the role of monitoring strategies to protect public health.
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- Title
- Application of density functional theory in nuclear structure
- Creator
- Li, Tong
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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The nuclear density functional theory (DFT) is a microscopic self-consistent framework suitable for describing heavy nuclei and performing large-scale studies. In this dissertation I discuss my research works on the development and application of the Skyrme nuclear-DFT framework, covering a broad range of topics, including the nucleon localization in rotating systems, the origin of reflection-asymmetric deformations, the parameter calibration for beta decays, and the development of a new...
Show moreThe nuclear density functional theory (DFT) is a microscopic self-consistent framework suitable for describing heavy nuclei and performing large-scale studies. In this dissertation I discuss my research works on the development and application of the Skyrme nuclear-DFT framework, covering a broad range of topics, including the nucleon localization in rotating systems, the origin of reflection-asymmetric deformations, the parameter calibration for beta decays, and the development of a new coordinate-space DFT solver.The nucleon localization function (NLF), discussed in the first part, is a useful tool for the visualization of structure information. It has been utilized to characterize clustering and shell structure. How the NLF pattern evolves in rotating systems, how it visualizes internal nuclear structure, and how it is connected with single-particle (s.p.) orbits are discussed in this dissertation. The second part deals with nuclei having reflection-asymmetric shapes, which are important candidates for the search of permanent electric dipole moments. In this dissertation, the origin of pear-like deformation is investigated through both the multipole expansion of the energy density functional and the spectrum of canonical s.p. states. Theoretical predictions of beta-decay rates are discussed next; they are important for r-process simulations that involves nuclei whose experimental beta-decay data are unknown. To provide reliable predictions with quantified uncertainties, the χ^2 optimization is performed to constrain parameters that significantly affect beta-decay transitions in proton-neutron finite-amplitude-method calculations. Besides a well calibrated functional, a reliable and efficient DFT solver is also crucial. The Hartree-Fock-Bogoliubov (HFB) method in the coordinate space is preferred for deformed and weakly bound nuclei, as solvers based on basis expansions often have difficulty correctly describing continuum effects. A new HFB solver based on the canonical-basis HFB formalism in the three-dimensional coordinate space is developed in this dissertation. It is a well parallelized solver and has been carefully benchmarked against other established HFB solvers.
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- Title
- STUDENTS’ CONCEPTIONS OF THEIR CAMPUS LGBTQ+ CENTER
- Creator
- Noble, Chelsea E.
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Lesbian, gay, bisexual, transgender, queer, and similar identities (LGBTQ+) resource centers on college campuses provide services, resources, programming, and advocacy focused on gender and sexuality, especially minoritized genders and sexualities. As center staff enact this work at the individual and organizational levels, LGBTQ+ centers seek to promote students’ thriving, especially among students with minoritized genders and sexualities. Although students are the animating reason for LGBTQ...
Show moreLesbian, gay, bisexual, transgender, queer, and similar identities (LGBTQ+) resource centers on college campuses provide services, resources, programming, and advocacy focused on gender and sexuality, especially minoritized genders and sexualities. As center staff enact this work at the individual and organizational levels, LGBTQ+ centers seek to promote students’ thriving, especially among students with minoritized genders and sexualities. Although students are the animating reason for LGBTQ+ centers’ existence, relatively little is known about how students experience and conceptualize campus LGBTQ+ resource centers. The purpose of this study was to understand LGBTQ+ resource centers from students’ perspectives. Guided by a critical adaptation of an ecological model of development (Bronfenbrenner, 1993; Renn & Arnold, 2003), I undertook a qualitative study drawing on interviews with 15 students who felt in some way connected to their campus LGBTQ+ center. I also included data from observations and publicly available center documents. The participants were all current students at a Midwestern university where the LGBTQ+ center had at least one full-time staff member and a clear commitment to social justice. The campus LGBTQ+ center often served as an important force in students’ ecosystems. Students’ ecosystems reflected common elements of university education (e.g., classes, student organizations, and friends), LGBTQ+ campus spaces, families and communities of origin, as well as broader forces including U.S. politics, the COVID-19 pandemic, and a number of oppressive systems. In the midst of highly variable, often unsupportive, and sometimes hostile contexts, students found support and guidance through their LGBTQ+ center. Students experienced their center in five major ways: physical space, source of relationships, organizational navigation and tools, virtual presence, and symbol of institutional commitment. Students emphasized and interacted with each of these aspects in accordance with their needs as they navigated their academic pursuits and daily lives in the face of racism, cissexism, heterosexism, and a host of other oppressive forces. Ultimately, students’ experiences with their campus LGBTQ+ center were frequently a means of survival and a boost towards students thriving on campus and in their lives.
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- Title
- Patient-specific prediction of abdominal aortic aneurysm expansion using efficient physics-based machine learning approaches
- Creator
- Jiang, Zhenxiang
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Computational vascular Growth and Remodeling (G&R) models have been developed to capture key physiological and morphological features during the arterial disease progression and have shown promise for aiding clinical diagnosis, prognosis prediction, and staging classification. However, the translation of computational G&R models into their applications has yet to wait for clinical practice. Partly, due to the high complexity of the arterial adaptation mechanism, high-fidelity arterial G&R...
Show moreComputational vascular Growth and Remodeling (G&R) models have been developed to capture key physiological and morphological features during the arterial disease progression and have shown promise for aiding clinical diagnosis, prognosis prediction, and staging classification. However, the translation of computational G&R models into their applications has yet to wait for clinical practice. Partly, due to the high complexity of the arterial adaptation mechanism, high-fidelity arterial G&R simulations typically require hours or even days, which hinders its time-consuming applications such as patient-specific parameter estimation, disease prediction, verification, validation, and sensitivity analysis. Furthermore, the typical Finite Element Method (FEM) based computational G&R model should be extended to provide the uncertainty quantification associated with simulation and prediction results. Therefore, to enhance practicality of the G&R modeling, we develop a novel and computationally efficient simulation framework that comprehensively combines physics-based G&R simulations and data-driven machine learning methods using a Multi-Fidelity Surrogate (MFS) approach. This greatly enhances the computational efficiency of arterial G&R simulations, enabling more time-consuming applications such as personalized parameter estimation. The proposed framework is then tested for a specific disease, Abdominal Aortic Aneurysms (AAAs), by estimating G&R model parameters from follow-up CT images in 21 patients.
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- Title
- IT’S LIKE LOOKING IN A MIRROR, ONLY NOT : THE INFLUENCE OF ACQUIRER-TARGET SIMILARITY ON CORPORATE ACQUISITIONS
- Creator
- Wuorinen, Stefan
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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With the recent explosion of behavioral acquisition research, the collective knowledge in respect to acquisition behavior and outcomes has advanced tremendously. Despite these advancements, due to the rapid growth in this literature, various shortcomings have also developed. One such shortcoming is that the vast majority of this literature has examined acquisition influences emanating from the acquirer or the target but has rarely investigated the joint effects of these two entities. As such,...
Show moreWith the recent explosion of behavioral acquisition research, the collective knowledge in respect to acquisition behavior and outcomes has advanced tremendously. Despite these advancements, due to the rapid growth in this literature, various shortcomings have also developed. One such shortcoming is that the vast majority of this literature has examined acquisition influences emanating from the acquirer or the target but has rarely investigated the joint effects of these two entities. As such, in an attempt to contribute to the growing wealth of acquisition knowledge, the aim of this dissertation is to extend this research by examining how the degree of similarity between the acquirer and target can contribute to the outcomes of acquisition decisions. Specifically, this dissertation first investigates the implications for post-acquisition innovation due to pre-acquisition authority structure similarity, while also introducing and testing the arguments of Structural Adaptation Theory to the macro-organizational level and acquisition literature. Second, the influence of CEO regulatory fit between acquirer and target executives and the degree to which their respective orientations align with each manager’s negotiation roles within an acquisition are argued to influence acquisition premium and market reactions. Collectively, these studies begin to illuminate the joint affects that acquirers and targets have on distinct acquisition outcomes.
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- Title
- EXPERIMENTAL INVESTIGATIONS OF Al-BASED INITIATIOR FOR (CO)POLYMERIZATION OF EPOXIDES AND EPISULFIDE AND APPLICATION TOWARD MEMBRANE SYNTHESIS
- Creator
- Safaie Ashtiani, Niloofar
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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We developed a novel aluminum-based initiator for epoxide polymerization which facilitated polymerization of various epoxides (epichlorohydrin, propylene oxide, etc.) and episulfide up to molecular weights of 100 kg/mol while maintaining relatively narrow polydispersity (Ð < 1.3). The initiator was simply synthesized through the reaction of a thiol ligand and trialkyl aluminum, with the thiol ligand choice enabling polymer end group control. Copolymerization of epichlorohydrin and propylene...
Show moreWe developed a novel aluminum-based initiator for epoxide polymerization which facilitated polymerization of various epoxides (epichlorohydrin, propylene oxide, etc.) and episulfide up to molecular weights of 100 kg/mol while maintaining relatively narrow polydispersity (Ð < 1.3). The initiator was simply synthesized through the reaction of a thiol ligand and trialkyl aluminum, with the thiol ligand choice enabling polymer end group control. Copolymerization of epichlorohydrin and propylene oxide and copolymerization of different epoxides with episulfide demonstrated the ability of this method to control polymer architecture. We further investigated the effect of catalyst concentration and initiator structure on the kinetics of epoxide polymerizations through 1H NMR spectroscopy. Finally, we combined our method of polymerization with another facile method, reversible addition fragmentation with chain transfer (RAFT) polymerization, to synthesize block-co-polymers made from vinyl and epoxide monomers. To do this, we made a macroinitiator from polystyrene (PS) and poly(methyl methacrylate) (PMMA), synthesized by RAFT polymerization, and further polymerized epoxide from it. Therefore, this new synthetic tool allows for the facile and controlled polymerization of epoxides into well-defined, functional, polyether materials. Furthermore, the introduced innovative and reliable methodology for the synthesis of SAl initiators enabled us to tune the polymer architecture to readily access more complex structure of polyepisulifides. We synthesized di-functional (d-H) and tetra-functional (t-H) SAl initiators to produce ABA and star-(co)polymers consisting of propylene sulfide and PO or ECH. Finally, polyethylene glycol (PEG) was used as a macroinitiator to create PEG-b-PPS block copolymers and characterized by 1H, 13C NMR spectroscopy, DOSY, DSC, and SEC. Motivated by the result, we prepared the star shape cross linked membrane from t-H initiator. The composition was controlled through the monomer feed ratio of propylene oxide (PO) and epichlorohydrin (ECH) for synthesis of PPO-PECH membrane in the presence of poly(ethylene oxide)-diglycidyl ether as a cross linker and the most optimized PPO-PECH with the ratio of 90:10 resulted optically clear and flexible film. We further modified the membrane with a range of amines like trimethylamine (TEA), dimethylamine (DMA), triethylamine (TEA), and diethylamine (DEA) by membrane dipping method. The chemical, physical, and mechanical properties of resultant secondary amine grafted and quartenized membranes were characterized as a candidate for CO2 transport. Moreover, we designed the facilitated transport membranes of crosslinked ether-based PPO-PECH membranes with the range of hindered and unhindered primary amines using previously reported mono(μ-alkoxo)- bis(alkylaluminum) (MOB). The physical and chemical properties of the membranes investigated by FT-IR spectroscopy, DSC, TGA, and rheology. This method demonstrated a simple and robust strategy to prepare copolymers cross linked membranes containing amines for CO2 transport. This enables us to compare the effect of different amines in the structure of facilitated transport membranes. In this thesis research we seek to develop a SAl initiator as a platform that is both simple to use and can synthesize new polymeric materials. This methodology is simple and tunable to produce robust crosslinked membranes for molecu
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- Title
- UNDERSTANDING THE IMPACT OF SEXUAL ASSAULT RELATED SOCIAL MEDIA CONTENT ON SURVIVORS : AN EXPLORATORY SEQUENTIAL MIXED METHODS STUDY
- Creator
- PettyJohn, Morgan E.
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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In recent years, hashtag activism movements (i.e., using a common message or phrase to unite user voices to address injustice; Yang & Kaun, 2016) have unfolded across social media (SM) platforms to bring attention to the prevalence and impacts of sexual assault. Specifically, the online #MeToo Movement went viral around the world in 2017, resulting in increased news coverage and public discourse surrounding this topic (Anderson & Toor, 2018). Indeed, nearly half (44%) of women in the United...
Show moreIn recent years, hashtag activism movements (i.e., using a common message or phrase to unite user voices to address injustice; Yang & Kaun, 2016) have unfolded across social media (SM) platforms to bring attention to the prevalence and impacts of sexual assault. Specifically, the online #MeToo Movement went viral around the world in 2017, resulting in increased news coverage and public discourse surrounding this topic (Anderson & Toor, 2018). Indeed, nearly half (44%) of women in the United States experience unwanted sexual contact in their lifetime (Smith et al., 2018) and these violations are associated with increased risk for negative mental health outcomes, including depression, anxiety, and posttraumatic stress disorder (PTSD; Mason & Lodrick, 2013). After experiencing interpersonal violence, reminders of the trauma (e.g., words, images) can trigger psychophysiological reactions for survivors, such as emotional dysregulation, physical symptoms (e.g., heart racing), and increases in adverse mental health symptomatology (Mchugo et al., 2001; Moser et al., 2015). Given the popularity of SM among women in the U.S. (78% report usage; Pew Research Center, 2019), survivors of sexual assault are presumably being exposed to trauma related content connected to popular hashtag activism movements while spending time online. However, little is known about how exposure to sexual assault narratives and related discourse in this context could impact the mental health and relationships of survivors.The present study aims to address this gap in the literature by using an exploratory sequential mixed methods design to better understand survivors’ online experiences during this unique cultural moment. The qualitative strand of the study utilized thematic analysis of semi-structured interviews (n = 12) to explore the lived experiences of young women survivors (18-34 years old) using SM since initiation of the #MeToo Movement. Survivors described adverse changes in their mental health during periods of intense media coverage relating to sexual assault stories (e.g., Dr. Christine Blasey Ford’s Senate testimony). Some survivors also reported negative changes in their personal relationships with people in their life based on how they discussed sexual assault on these platforms. Findings from the qualitative strand were used to inform development of an online, cross-sectional quantitative survey, facilitated through CloudResearch’s MTurk toolkit. Multiple regression analyses found general SM use, exposure to sexual assault content, and exposure to unsupportive attitudes (i.e., victim blaming or perpetrator supporting) to be significantly predictive of depression, anxiety, and PTSD symptomatology among young women, both survivors (n = 312) and non-victims (n = 171). Survivors reported noticing people from their support systems (e.g., family, friends, co-workers) posting unsupportive attitudes about other victims’ stories at significantly higher rates than non-victims. Findings from the present study implore clinicians to assess SM use and level of exposure to sexual assault related content among clients, particularly those who have experienced sexual assault. Further, clinicians should stay informed about viral news stories and hashtag activism movements addressing sexual assault and provide space for clients to process this content during times of high saturation on SM platforms.
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- Title
- THE ROLE OF ARID1A IN ENDOMETRIOSIS-RELATED INFERTILITY
- Creator
- Marquardt, Ryan Michael
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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The inner lining of the uterus, the endometrium, is composed of a luminal epithelial cell layer supported by an underlying stroma which contains epithelial gland structures. These distinct cell types coordinate with complex and dynamic molecular crosstalk tightly controlled by ovarian steroid hormones to regulate a healthy menstrual cycle and support the initiation and maintenance of a healthy pregnancy. Endometriosis occurs when endometrium-like tissue forms lesions outside the uterine...
Show moreThe inner lining of the uterus, the endometrium, is composed of a luminal epithelial cell layer supported by an underlying stroma which contains epithelial gland structures. These distinct cell types coordinate with complex and dynamic molecular crosstalk tightly controlled by ovarian steroid hormones to regulate a healthy menstrual cycle and support the initiation and maintenance of a healthy pregnancy. Endometriosis occurs when endometrium-like tissue forms lesions outside the uterine cavity, and this painful disease afflicts about 10% of reproductive-age women, an estimated 176 million worldwide. Up to 50% of these individuals also experience infertility, and many cases cannot be explained by morphological or ovarian defects, which implicates a uterine environment that is non-receptive to embryo implantation. The molecular basis for the correlation between endometriotic lesion presence and a non-receptive endometrium is unclear, but available evidence suggests that dysregulation of epigenetic regulators may play a role. Expression of AT-rich interaction domain 1A (ARID1A), a chromatin remodeling factor, is lost in some endometriotic lesions and markedly reduced in endometrial biopsies from infertile women with endometriosis, but it is essential in the uterus for fertility. This dissertation evaluates the overarching hypothesis that ARID1A loss connects endometriosis and infertility by causing increased lesion development and a non-receptive endometrium. Chapter 1 provides a review of the current literature on the topics of normal ovarian steroid hormone regulation of endometrial function, the dysregulation that occurs in endometriosis with its clinical implications and therapeutic options, and the specific involvement of ARID1A in endometrial pathophysiology. Chapter 2 delineates a critical role for endometrial epithelial ARID1A in uterine gland function for fertility. Chapter 3 reports the need for endometrial epithelial ARID1A to maintain uterine immune homeostasis during early pregnancy. Chapter 4 explores the involvement of endometrial ARID1A loss in a mouse model of endometriosis-related infertility. Chapter 5 describes a method for in vivo photoacoustic imaging of this endometriosis mouse model through the application of nanoparticle labeling. Finally, Chapter 6 summarizes the findings, discusses conclusions from the synthesized data in the context of the current literature, and provides ideas for future studies of related topics. Together, the studies herein make the case that endometrial ARID1A loss contributes to endometriosis-related infertility by exacerbating endometriotic lesion formation and compromising the ability of the endometrium to maintain the gland function and immune homeostasis necessary for the establishment and maintenance of pregnancy. Continued investigation through studies like these is key to understanding endometrial pathophysiology at the molecular level in order to enable development of targeted treatment options for women suffering the devastating effects of endometriosis and related infertility.
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- Title
- DIVERSIFYING AGRICULTURAL LANDSCAPES FOR BIODIVERSITY AND ECOSYSTEM SERVICES
- Creator
- Kemmerling, Lindsey Renee
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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This dissertation focuses on strategies to restore biodiversity and ecosystem services in agricultural landscapes through diversifying the plant community at the landscape level. Biodiversity and ecosystem services are declining globally, and a leading cause of this decline is large-scale row crop agriculture which results in habitat loss and pollution. Simultaneously, the human population is growing, as are human demands for resources produced by agriculture. Diversifying agricultural...
Show moreThis dissertation focuses on strategies to restore biodiversity and ecosystem services in agricultural landscapes through diversifying the plant community at the landscape level. Biodiversity and ecosystem services are declining globally, and a leading cause of this decline is large-scale row crop agriculture which results in habitat loss and pollution. Simultaneously, the human population is growing, as are human demands for resources produced by agriculture. Diversifying agricultural landscapes is one method to both mitigate the loss biodiversity while providing essential human resources. I conducted three studies that test if diversifying cropping systems can increase biodiversity and ecosystem services and maintain or even increase agricultural yield. In Chapter 1, I tested the ability of multiple native, perennial bioenergy crops (alternatives to annual bioenergy crops) to provide both crop yield and conserve pollinators. I measured pollinator abundance and species richness, flower abundance and species richness, and crop yield across four native perennial biofuel crop varieties: successional land (unmanaged), restored prairie, a mix of native grasses, and seeded switchgrass. Successional land had the most diverse community of pollinators but the lowest crop yield, native grasses had the highest yield but the least diverse pollinator community, and switchgrass and restored prairie were intermediate. If both pollinator conservation and crop yield are valued similarly, restored prairie was the optimal biofuel crop. Chapter 2 tested the effects of crop management practices in row crop agriculture, including the establishment of a conservation practice called “prairie strips” on biodiversity and ecosystem services. Prairie strips are strips of farmland retired from production and actively restored with native prairie plant species. I synthesized the tradeoffs and synergies of a suite of biodiversity and ecosystem service measures across a land use intensity gradient, as well as their spillover from prairie strips into cropland. The lowest land use intensity consistently had the highest levels of biodiversity and ecosystem services other than crop yield. Treatments with prairie strips had higher pollination services and a higher abundance of butterflies and spiders than other row crop treatments. Crop yield in a treatment with low land use intensity and prairie strips remained as highest land use intensity treatment, even when including the area taken out of production for prairie strips. Biodiversity and ecosystem services decreased with increasing distance from prairie strips and this effect was more pronounced in the second year of the prairie strips than the first for several measures. These results show that, even in early establishment, prairie strips can contribute to the conservation of biodiversity and ecosystem services without a disproportionate loss of crop yield. Chapter 3 further investigated one of the measures addressed in Chapter 2: butterfly biodiversity. I measured butterfly and plant species richness and abundance across three years in the same land use intensity gradient. Butterfly abundance and richness increased as land use intensity decreased. Prairie strips harbored unique butterfly communities and had a higher abundance of butterflies than other row crop treatments, including conservation land. Across the 1 ha plot of which 5% was prairie strip, butterfly abundance was higher in row crops with prairie strips than in row crops without prairie strips, likely as a result of prairie strips and other crop management practices in treatments with prairie strips, such as reduced pesticides. Altogether, this work presents evidence that restoring habitat within farms can support biodiversity and ecosystem services without disproportionately impacting crop yields. Furthermore, when strategically placed, these conservation strategies can prevent unnecessary greenhouse gas emissions, and potentially increase crop yield.
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- Title
- DO INFORMATION ACQUISITION COSTS MATTER? THE EFFECT OF SEC EDGAR ON STOCK ANOMALIES
- Creator
- Kim, Yong-Hyuck
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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I estimate the costs of information acquisition and the extent to which they explain stock anomaly returns. The SEC’s staggered implementation of EDGAR from 1993 to 1996 greatly lowered the costs of acquiring accounting information. I study how this quasi-exogenous and staggered shock affects the profitability of 126 accounting and 108 non-accounting anomalies. The EDGAR introduction lowers the average alphas for the accounting anomalies by 4.0% per year, explaining more than half of the pre...
Show moreI estimate the costs of information acquisition and the extent to which they explain stock anomaly returns. The SEC’s staggered implementation of EDGAR from 1993 to 1996 greatly lowered the costs of acquiring accounting information. I study how this quasi-exogenous and staggered shock affects the profitability of 126 accounting and 108 non-accounting anomalies. The EDGAR introduction lowers the average alphas for the accounting anomalies by 4.0% per year, explaining more than half of the pre-EDGAR alphas. The attenuation is stronger for the accounting anomaly portfolios that require more up-to-date accounting information and those consisting of EDGAR filer stocks with less information available in the pre-EDGAR period. By contrast, alphas for the non-accounting anomalies remain unaffected. These results imply that the information acquisition costs, which are usually neglected, can be as important as the transaction or short sale costs.
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- Title
- NUMERICAL SIMULATIONS OF PERMEABLE-WALL TURBULENCE WITH APPLICATIONS IN HYPORHEIC EXCHANGE
- Creator
- SHEN, GUANGCHEN
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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In aquatic environments such as rivers, the exchange of solutes across the interface between the sediment and the overlying water plays a signifcant role in controlling biogeochemical processes, which are important for an array of topics from nutrient transport and cycling to release of greenhouse gases such as nitrous oxide. Most previous studies on characterizing this exchange are focused on flows with sediment bedforms much larger than individual sediment grains. The physics at the pore or...
Show moreIn aquatic environments such as rivers, the exchange of solutes across the interface between the sediment and the overlying water plays a signifcant role in controlling biogeochemical processes, which are important for an array of topics from nutrient transport and cycling to release of greenhouse gases such as nitrous oxide. Most previous studies on characterizing this exchange are focused on flows with sediment bedforms much larger than individual sediment grains. The physics at the pore or grain scale were typically not resolved. The effects of grain roughness on the sedimentbed surface on the transport across the sediment-water interface (SWI), isolated from those of bed permeability and bedforms, are not well understood. In this work, direct numerical simulations (DNS) of the connected system of turbulent open-channel flow and pore-resolved sediment flow are carried out, with different arrangements of grains at the sediment surface.First, the statistics and structure of the mean flow and turbulence are characterized in flows with a friction Reynolds number of 395 and a permeability Reynolds number of 2.6 over sediments with either regular or random grain packing on a macroscopically flat bed. It is shown that, even in the absence of any bedform, the subtle details of grain roughness alone can signifcantly affect the dynamics of turbulence and the time-mean flow. Such effects translate to large differences in penetration depths, apparent permeabilities, vertical mass fluxes and subsurface flow paths. The less organized distribution of mean recirculation regions near the interface with a random packing leads to a more isotropic form-induced stress tensor, which plays a signifcant role in increasing mixing and wall-normal exchange of mass and momentum.Next, the mass exchange is characterized in detail for macroscopically flat river beds, focusing on the transit time—the time spent by a fluid particle in the sediment—which determines the role of hyporheic zones in transforming the chemical signature of stream water. Results show that bedroughness leads to interfacial pressure variations, which induces deep subsurface flow paths that yield a transit time distribution with a heavy tail. Furthermore, the addition of molecular diffusionis accounted for and is shown to increase transit times regardless of roughness texture. The results demonstrate that particle roughness on a macroscopically flat sediment bed can induce signifcant hyporheic exchange that is fundamentally similar to that induced by bedforms.Lastly, to identify possible interaction between the effect of grain roughness and that of a bedform, DNSs of open channels with a friction Reynolds number of 1580 on a porous dune with two different roughnesses are conducted. Results show that the roughness modifes the wall friction, shear penetration depth and pressure distribution along the interface. Unlike the case on a macroscopically flat bed where the random roughness induces more intense roughness-scale pressure variation than the regular roughness, over a bedform the random roughness reduces the macroscopic pressure distribution at the interface instead due to its higher hydrodynamic drag. The weaker pressure variation in turn weakens the pumping and shortens transit times. The results highlight the nonlinear interaction between the effects of bed morphological features of different scales. Pore-resolved simulations such as the ones herein can be used in the future in direct characterization of pore-scale dynamics to provide insights for pore-unresolved modeling of biogeochemical processes.
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- Title
- WHAT HAPPENS DURING AND AFTER MULTITASKING? CONCURRENT AND CARRY-OVER EFFECTS OF MEDIA MULTITASKING AND SELF-REGULATION ON TASK PERFORMANCE
- Creator
- Baek, Jong-Hwan
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Much research has suggested that multitasking impairs cognitive outcomes and task performance. Given its negative role in information processing, the vast majority of work has focused on concurrent effects during multitasking (e.g., recall, recognition). However, prior research in the multitasking literature has rarely examined short-term or lingering effects on subsequent tasks. One of the theories concerning this after-effect is ego depletion, a state of reduced self-regulatory resources.To...
Show moreMuch research has suggested that multitasking impairs cognitive outcomes and task performance. Given its negative role in information processing, the vast majority of work has focused on concurrent effects during multitasking (e.g., recall, recognition). However, prior research in the multitasking literature has rarely examined short-term or lingering effects on subsequent tasks. One of the theories concerning this after-effect is ego depletion, a state of reduced self-regulatory resources.To this end, the present study examined concurrent and carry-over effects of multitasking and self-regulation on task performance. Specifically, the current study examined whether the effects of media multitasking with different attentional demands vary by self-regulation (i.e., single-task, multitask with divided attention, multitask with selective attention, multitask with flexible attention) and how such effects occur during and after multitasking. Consistent with predictions, media multitasking decreased performance on subsequent self-control and cognitive tasks. Also, participants in the multitasking condition with flexible attention watched a subsequent movie longer, and they perceived it as more enjoyable than those in the single-task condition. Additionally, findings showed how exerting self-regulation could lead to better performance on both primary and secondary tasks. Findings and implications for research on media multitasking are further discussed.
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- Title
- Tunable Fluorescent Organic Salts for Imaging and Therapy
- Creator
- Broadwater, Deanna May
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Cancer remains a leading cause of death worldwide and many treatments still rely on non-targeted chemotherapy, which has inadequate efficacy and is plagued by toxic side effects. A promising solution is photodynamic therapy (PDT), a noninvasive clinical cancer treatment that combines a light activated photosensitizer (PS) with excitatory light to generate toxic reactive oxygen species (ROS). These photoactive agents can also produce detectable wavelengths of light upon photoactivation, which...
Show moreCancer remains a leading cause of death worldwide and many treatments still rely on non-targeted chemotherapy, which has inadequate efficacy and is plagued by toxic side effects. A promising solution is photodynamic therapy (PDT), a noninvasive clinical cancer treatment that combines a light activated photosensitizer (PS) with excitatory light to generate toxic reactive oxygen species (ROS). These photoactive agents can also produce detectable wavelengths of light upon photoactivation, which has been used clinically to image tumors in cancer diagnostics and image-guided surgery. Having uses as both diagnostic and therapeutic agents, these molecules are known as theranostics. However, current light-activated theranostics are limited by low brightness, poor tissue penetration, and nonspecific cytotoxicity independent of light excitation. Due to these obstacles, PDT is currently limited to precancerous lesions, superficial neoplastic tissue, or palliative care. Therefore, improved theranostic agents are needed. Prevailing efforts to improve existing photoactive agents focus on chemical modifications that cannot independently control electronic properties (which dictate toxicity) from optical properties. To overcome these limitations, work in this dissertation develops a novel counterion pairing platform to modulate the toxicity of organic salts composed of a photoactive cationic heptamethine cyanine (Cy+) and a non-photoactive anion. These counterion-tuned fluorescent organic salts can be designed to be either nontoxic for imaging, or phototoxic for PDT. Organic salts self-organize into nanoparticles with shifted frontier molecular orbital levels dependent on the counterion while the bandgap remains the same. This allows for tuning of electronic properties without affecting optical properties. Improvements in these areas could expand light-activated theranostics into a wider range of cancers and improve patient outcomes. This dissertation will begin with a review of current photoactive agents used in cancer therapy and ongoing challenges to the adoption of PDT as a frontline therapy. Modern PDT regimens and potential combinatorial therapies will be appraised, and recent advances in rational PS design will be highlighted. Initial in vitro studies investigated the optoelectronic tuning capabilities of counterion pairing in human lung carcinoma (A549) and melanoma (WM1158) cell lines. Viability assays establish that pairings with weakly coordinating bulky anions could generate organic salts that are non-cytotoxic and selectively phototoxic, while pairing with standard hard anions yield cytotoxic organic salts. These studies demonstrate that anion pairing can be exploited to shift energy levels and influence ROS generation to either enhance photokilling of cancer cells or improve cell imaging. Organic salts were further investigated in a metastatic breast cancer mouse model to characterize biodistribution, antitumor efficacy within a complex tumor microenvironment, and off-site toxicity. In vivo experiments confirm that counterion tuning can generate a selectively phototoxic antitumor PS which abolishes tumor growth and reduces metastasis without systemic toxicity in a breast cancer mouse model. Overall, this work demonstrates the utility of using counterion tuning to control phototoxicity, and further demonstrates the untapped potential of photoactive theranostic agents for clinical cancer therapy.
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- Title
- ENHANCING CORPORATE CRIME ENFORCEMENT WITH MACHINE LEARNING—A MULTIDISCIPLINARY RISK FACTOR APPROACH
- Creator
- Chan, Fiona
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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Despite its severe and lasting social and financial ramifications, corporate financial crime remains one of the most understudied crime types, as it is often hindered by two challenges. First, its multidisciplinary nature requires both financial and criminological expertise among others to conduct proper investigations. Second, corporate crime data is fraught with constraints such as high dimensionality, complex interactions, and nonlinear functional forms that are ill-suited for classical...
Show moreDespite its severe and lasting social and financial ramifications, corporate financial crime remains one of the most understudied crime types, as it is often hindered by two challenges. First, its multidisciplinary nature requires both financial and criminological expertise among others to conduct proper investigations. Second, corporate crime data is fraught with constraints such as high dimensionality, complex interactions, and nonlinear functional forms that are ill-suited for classical statistical modeling. The lack of research coupled with the limited resources in corporate crime enforcement represent a great impediment to the advancement of fraud interventions. This dissertation seeks to overcome these specific challenges by unifying cross-disciplinary financial fraud research under a risk factor framework, and by leveraging recent advancements in artificial intelligence. The goal is to examine whether two machine learning algorithms—random forest and neural network—can be used to enhance corporate fraud risk detection/prediction beyond more commonly employed analytical techniques. Findings from the analysis showed that the random forest algorithm outperformed logistic regression and a naïve classifier in a 1:1 matched sample. The neural network performed better than a naïve classifier but slightly worse than logistic regression. Feature selection improved the algorithms’ predictive accuracy and ability to distinguish between classes even further. Despite promising results from the 1:1 matched sample, both machine learning algorithms struggled with a heavily imbalanced 1: many dataset, which represents a more realistic setting. With the implementation of an oversampling strategy and feature selection, the algorithms improved substantially in identifying the rare fraud cases, and showed promise of improvement with further research on imbalanced classification. Feature importance from the random forest classifier identified risk factors that are consistent with findings from prior studies. Measures of financial distress ranked lower in importance than measures of financial health, suggesting future research can build on prior findings on corporate strain to examine specific mechanisms. The analysis also identified auditor independence as a key concept of guardianship and opportunity structure that warrants further study. Findings from this research also have important methodological implications for corporate crime studies—namely, the need to improve measurements of organizational-level fraud risk factors.
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- Title
- SUBJECTIVE AND OBJECTIVE STRESS RESPONSES AMONG YOUNG AUTISTIC ADULTS
- Creator
- Peña, Jarhed Macarubbo
- Date
- 2022
- Collection
- Electronic Theses & Dissertations
- Description
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This study was conducted to examine the subjective (psychological) and objective (physiological) stress responses of autistic individuals guided by the Transactional Theory of Stress and Coping by Lazarus and Folkman (1984). Subjective stress responses were measured through a Visual Analog Scale (VAS) rating by the participants on their stress perception and objective stress responses were measured through heart rate variability (HRV) using a heart rate monitor as participants underwent a...
Show moreThis study was conducted to examine the subjective (psychological) and objective (physiological) stress responses of autistic individuals guided by the Transactional Theory of Stress and Coping by Lazarus and Folkman (1984). Subjective stress responses were measured through a Visual Analog Scale (VAS) rating by the participants on their stress perception and objective stress responses were measured through heart rate variability (HRV) using a heart rate monitor as participants underwent a standardized online Trier Online Stress Test (TSST; Kirschbaum et al., 1993) protocol to stimulate a social evaluative stress protocol. A systematic and qualitative interview was followed to investigate the appraisal of participants’ perception on the TSST. Literature suggests lack of insight and poor reporting of stressful experiences among autistic individuals. Participants consisted of 12 young adults with autism spectrum disorder (ASD) and 24 typically developing young adults currently attending college. Both subjective and objective stress quantitative analyses resulted in non-significant findings. However, findings suggested some between-group differences in subjective stress responses and objective stress responses for each phase of the stress stimulation (i.e., Baseline, Stress Task, Recovery). Particularly, higher observed stress perception and HRV were noted during Baseline and Recovery and lower observed stress perception and HRV were noted during the Stress Task in the ASD group. Further exploration of qualitative data findings revealed that both groups were able to have insight and self-report physical stress response such as increased heart rate and sweating, further supporting the importance of the appraisal of the stressful experience. Clinical, education, and research implications are also addressed. In terms of clinical implications, the current study highlighted young adults are susceptible to stress and can benefit from stress management intervention regardless of ASD diagnosis. Early intervention to teach autistic individuals stress management skills may also be beneficial. Furthermore, the use of objective measures can raise the awareness of one’s stress response, and that the appraisal of one’s subjective perception of stress is equally important in understanding individual differences in the stress experience. In terms of education implications, educators should train health professionals such as rehabilitation counselors in understanding diverse ways of stress manifestation and coping. They should also be trained to teach stress coping skills when working with clients, including autistic individuals. In terms of research implications, the unique methodology to combine psychological data with physiological data, as well as appraisal process to obtain cognitive information to gain a more holistic perspective on the stress experiences of participants. Future research recommends increasing sample size and diverse demographic participants, matching participants with ASD with those without, re-examining different methods to characterize potential similarities and differences among ASD, typically developing and other clinical groups, further examining not only the stress phase but also the baseline and recovery phases of the stress stimulation, improving the ASD screening to verify autism diagnosis, recruiting participants who have not received stress management intervention or training, examining the impact of in person and online TSST, and investigating the impact of comorbid conditions on stress responses in the ASD population.
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