Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2007. / Includes bibliographical references (leaves 95-104). Also available in electronic version.

Thesis (Ph. D.)--Texas State University-San Marcos, 2006. / Vita. Appendices: leaves 343-357. Includes bibliographical references (leaves 358-370).

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This dissertation investigates the role of reference-dependent preferences in different areas of application, both from an empirical/experimental and a theoretical perspective. Despite their common focus, all chapters are self-contained and can be read independently. In the first chapter, entitled "Does Loss Aversion Beat Procrastination? A Behavioral Health Intervention at the Gym", I analyze the implications of reference-dependent preferences in the domains of self-control and optimal incentive design. Financial incentives are a common tool to encourage overcoming self-control problems and developing beneficial habits. There are different means by which such incentives can be provided, yet, up to date there is little empirical evidence on the relative effectiveness of different incentive designs. I present the results of a field experiment that explores whether and how incentives that are economically equivalent but framed differently affect the likelihood of exercising at a gym. I find that framing incentives in terms of losses, meaning individuals lose cash incentives by not exercising, encourages more frequent visits to the gym than framing incentives in terms of financial gains. After removing these incentives, I observe habit formation in gym exercise only if incentives were framed as losses rather than gains. The findings are consistent with the concept of reference-dependent preferences and loss aversion and suggest that cost reductions and performance improvements can be achieved if opting to frame incentives in terms of losses. The second chapter, entitled "Salience-adjusted Expectation-based Reference Points: Theory and Experiment", studies the consequences of reference-dependent preferences in the domain of decision making under uncertainty. Recent theories of expectation-based reference-dependent preferences offer a structured approach of the formation of reference points, yet do not incorporate important context-specific characteristics. One implicit assumption is that individuals rationally form their reference point as expectations, by correctly predicting the probabilistic environment they are facing. A second assumption is that in subsequent unanticipated decisionmaking problems, individuals consider previously formed lagged expectations as their reference point. In an experimental setup, I demonstrate that specific contextual factors affect the composition of expectation-based reference points. First, while expectations are formed, outcomes that attract the moment of first focus receive a higher weight. Second, in subsequent unanticipated decision making under uncertainty, the outcomes of the choice set affect to which extent lagged expectations are considered as a reference point, depending on the associated intensity of gains and losses. Finally, apart from providing empirical evidence on the limitations of current theories of expectation-based reference-dependence, I present a theoretical extension that can overcome some of these limitations by allowing reference points to be contingent on salient contextual effects. In the third chapter, entitled "Competitive Persuasive Advertising under Consumer Loss Aversion", I examine the role of reference-dependent preferences in the domain of consumer choice. In particular, I analyze the effects of expectation-based loss aversion in imperfect competition when consumers’ gain-loss utility is susceptible to salience effects. I present a theoretical model in which consumers’ gain-loss utility associated with the expectation to buy the most salient products within their contextual environment is inflated upwards, whereas the gain-loss utility associated with the expectation to buy the least salient products is deflated downwards. Firms can strategically manage consumers’ gain-loss utility by investing in salience-enhancing activities, such as persuasive advertising. If consumers are initially aware of prices but uncertain about their individual match value from the purchase, persuasive advertising has strictly anticompetitive consequences. This is because it allows firms to mitigate consumers’ experienced losses from higher prices, which reduces competitivepressure. / Doctorat en Sciences économiques et de gestion / info:eu-repo/semantics/nonPublished

Thesis submitted in fulfillment of the requirements for the degree of Masters in Technology: Biomedical Sciences in the Faculty of Health and Wellness Sciences at the Cape Peninsula University of Technology 2015 / Background: The Mixed Ancestry population of South Africa has recently been reported to have a higher prevalence of type 2 diabetes (T2DM). However, the genetic risk factors that may contribute to the development of T2DM are currently unknown. We investigated the association of fat mass and obesity-associated gene (FTO), ectonucleotide pyrophosphatase/phosphodiesterase gene (ENPP1) and transcription factor 7-like 2 gene (TCF7L2) with T2DM risk in a community residing in Bellville South, Cape Town. Methods: Five hundred and sixty six participants (11.7% males) who consented to genetic analyses were genotyped for six single nucleotide polymorphisms (SNPs): ENPP1-rs997509 and -rs1044498, FTO-9941349 and -rs3751812, TCF7L2-rs12255372 and -rs7903146. The SNPs were genotyped using their corresponding Taqman genotyping assays, and validated by automated sequencing. Allele and genotype frequencies were determined and regression analyses was conducted to assess the association of the polymorphisms with T2DM and its related,traits. Results: Overall and in subgroups defined by diabetes and obesity statuses, there were present no significant differences in the distribution of alleles and genotypes, except for the polymorphisms observed in the FTO and ENPP1 genes. In logistic regression models adjusted for age, sex, body mass index (BMI) and insulin resistance, minor alleles of ENPP1-rs997509 and ENPP1-rs1044498 were associated with risk for T2DM respectively, 4.55 (1.06-19.49) (p=0.041) and 1.81 (1.09-2.98) (p=0.021) assuming a recessive genetic model. Furthermore, the FTO rs9941349 minor allele was associated with the prevalent T2DM under the log-additive model: 1.40 (1.00 to 1.96) (0.049). The TCF7L2 polymorphisms showed no evidence of association with T2DM and/or insulin sensitivity/resistance indicators. Conclusion: Our results demonstrate that ENPP1 and FTO polymorphisms may contribute to T2DM susceptibility in this population, confirming previous findings that insulin resistance may mediate the development of the disease in the Mixed Ancestry population group of South Africa.

In this thesis, I investigate the relationship between two variables for which persistent directional sexual selection is an evolutionary driver: condition dependence and sexual dimorphism. This joint dependence on sexual selection predicts that among traits within a given species, greater dimorphism should be associated with stronger condition dependence. Very few studies have tested this prediction, and those that have focus on species with highly exaggerated and strongly dimorphic traits between the sexes. Here, I quantified variation in a suite of morphological traits in a dipteran species – the antler fly, Protopiophila litigata – in which sexual dimorphism is less extensive. I manipulated condition via different larval diets and then quantified the effects on adult body size and shape in both sexes. Across traits, I found that the extent of sexual dimorphism was positively associated with the strength of condition dependence in males but not in females. These results suggest a shared developmental basis to condition dependence and sexual dimorphism in body shape, and suggest that this has arisen via sexual selection in males despite the absence of extremely dimorphic shared traits.

The kinetic mechanism of the cAMP-dependent protein kinase has been determined to be random in the direction of MgADP phosphorylation by using initial velocity studies in the absence and presence of the product, phospho-Serpeptide (Leu-Arg-Arg-Ala-Ser[P]-Leu-Gly) , and dead-end inhibitors. In contrast to the kinetic parameters obtained in the direction of Serpeptide phosphorylation, the only kinetic parameters affected by Mg^2+ are the dissociation constants for E:phospho-Serpeptide and E:MgADP, which are decreased by about 4-fold. The dead-end analog MgAMPCP binds with an affinity equal to that of MgADP in contrast to MgAMPPCP, which binds weaker than MgATP. The ratio of the maximum velocities in the forward and reverse reactions is about 200, and the Haldane relationship gives a K-eq of (7.2 ± 2) x 10^2. The latter can be compared to the K-eq obtained by direct measurement of reactant concentrations (2.2 ± 0.4) x 10^3 and 31-P NMR (1 ± 0.5) x 10^3. Data for the pH dependence of kinetic parameters and inhibitor dissociation constants for the cAMP dependent protein kinase are consistent with a mechanism in which reactants selectively bind to an enzyme with the catalytic base unprotonated and an enzyme group required protonated for Ser-peptide binding. Preferentially MgATP binds fully ionized and requires an enzyme residue (probably lysine) to be protonated. The maximum velocity and V/K-MgATP are pH independent. The V/K for Serpeptide is bell-shaped with estimated pK values of 6.2 and 8.5. The dependence of 1/K-i for Leu-Arg-Arg-Ala-Ala-Leu-Gly is also bell-shaped, giving pK values identical with those obtained for V/K-Serpeptide, while the K-i for MgAMPPCP increases from a constant value of 650 μM above pH 8 to a constant value of 4 mM below pH 5.5. The K-i for uncomplexed Mg^2+ obtained from the Mg^2+ dependence of V and V/K-MgATP is apparently pH independent.

Thesis advisor: Pamela J. Grace / Background: Advances in clinical care over the past 40 years have saved the lives of many infants who previously would not have survived. However, a substantial proportion of these children need on-going technological support and are cared for at home by family caregivers with or without the assistance of home care services. Existing studies describe the experience of family caregivers of technology-dependent children post-discharge, but there is a gap in knowledge related to caregivers’ perceptions of nurse-led discharge teaching. Purpose: To describe caregivers’ perceptions of nurse-led discharge education designed to prepare them to care for their technology-dependent infant in the home setting and to uncover factors that facilitate or hinder its effectiveness. Method: A qualitative descriptive study design was employed to explore caregivers’ perceptions of nurse-led discharge education efforts. Demographic data was collected prior to conducting a semi-structured interview. Interview data were analyzed in an iterative fashion using qualitative content analysis. Sample Recruitment was via purposive sampling aimed to find caregivers of technology-dependent infants under the age of three. Nine participants completed the study. Results: An overarching theme, caregiver learning and self-advocacy is enhanced by positive nurse/caregiver relationships and team cohesion, especially during anxiety-producing transitions in care, emerged from the data. The overarching theme encompasses five major themes and several major themes. The five main themes are: the nurse/caregiver relationship enhances learning; the complexity of care presents challenges to the learning process; team performance affects caregivers’ level of anxiety/uncertainty; caregivers’ level of expertise improves self-advocacy; and transitions in care settings contribute to caregiver anxiety. Conclusion: Insights that contribute to nursing knowledge of the caregivers’ experience of nurse-led discharge education and their perceptions of factors that help or hinder their learning were gained. Implications for nursing include the importance of caregivers’ involvement in care team discussions, the necessity of basing teaching approaches and materials in knowledge of best practices, and improved care coordination and discharge planning. Further nursing research, that can generalize findings and generate interventions is also needed to improve the care of this population. / Thesis (PhD) — Boston College, 2018. / Submitted to: Boston College. Connell School of Nursing. / Discipline: Nursing.

The present study was designed to explore the mind-body connection within a psychosocial-cultural context. More specifically, the current investigator hoped to examine how various dimensions of the mind and body interact with psychosocial-environmental factors, which are significantly influenced by cultural processes and reference group membership A cross-sectional study was designed to examine the relationship between health beliefs and health behaviors in sample of 419 adults with Type II diabetes with a focus on the moderating effects of social support, emotional reactions, and experiences of unfair treatment. A self-report questionnaire comprised of 90-items obtained from previously established measures of health beliefs, psychosocial-cultural factors, and health behaviors was administered online via Qualtrics.com. Results of testing a series of measurement and structural models using confirmatory factor analysis (CFA) showed poor fit across all models specified. While these results indicated that the expanded Health Belief Model (eHBM) specified for this study did not adequately describe the diabetes-related thoughts, attitudes, and behaviors for the current sample of participants, findings may have provided preliminary evidence of a three-factor structure reflecting participants’ worries and concerns about their health & perceptions involving challenges or obstacles to successful behavior change, which could interfere with daily life. Although it is unclear whether these results were related to limitations in the measurement instruments and study design, or to differences in the nature of the constructs and the ways in which participants interpreted and responded to the scales, the overall findings of this study suggest a need for research that examines the equivalence of health belief and health behavior measures and greater empirical evidence to ensure that the theories and models used in health research are generalizable across groups of people with varying world-views, identities and lived experiences. Implications for the Health Belief Model (HBM) and ideas for future research are discussed.

This thesis presents analytic and computational advances in the prediction of perturbative nonlinear optical spectroscopies. The contributions of this thesis are packaged together in an open source, freely available piece of software called ultrafast spectroscopy suite (UFSS). It is designed to automatically simulate nonlinear optical spectroscopies for any phase-matching or phase-cycling condition, including finite pulse effects. UFSS includes an algorithm called the diagram generator (DG) that automates the process of writing out all of the Feynman diagrams that contribute to a desired phase-matching or phase-cycling condition, and includes all pulse overlap diagrams when relevant, paving the way toward automation of perturbative calculations. Further, many diagrams can be automatically combined into composite diagrams, giving an exponential decrease in computation time of high-order calculations. Composite diagrams even allow for the efficient study of Rabi oscillations as a function of pulse amplitude, by summing many orders of perturbation theory. The perturbative calculations are done using a novel algorithm presented in this thesis called Ultrafast Ultrafast spectroscopy (UF2). UF2 is an efficient method for determining diagrammatic contributions to spectra including arbitrary (whether analytical or experimentally measured) pulse shapes. It uses the speed of the fast Fourier transform to be as much as 500 times faster than direct propagation techniques for small model Hamiltonians (for Hamiltonian dimension of 100 or less). UF2 outperforms direct propagation techniques for a wide range of model systems, with the speed boost diminishing as the dimension of the model Hamiltonian increases. UF2 can predict spectra for any model system whose relevant Hilbert space that can be described using a finite basis and that can be diagonalized numerically, and users are free to specify their own model. UFSS includes a model generator that generates Hamiltonians and Liouvillians of vibronic systems, allowing users to easily simulate NLOSs for a wide range of model system parameters. UFSS is a fully functional piece of software for simulating any NLOS, to any desired order in perturbation theory.