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Evaluation of mares as a source of Rhodococcus equi for their foals using quantitative culture and a colony immunoblot assayGrimm, Michael Bradley 02 June 2009 (has links)
Fecal specimens from 130 different mares were collected from an endemic farm for 2 consecutive years at 4 different times pre- and post-foaling (41 mares contributed data in both years). A modified NANAT agar medium was used to quantitatively culture 1-g aliquots of the mare feces without inhibition of growth of Rhodococcus equi. Once the R. equi in the mare feces were quantified and the total concentrations of R. equi determined, a colony immunoblot procedure was performed to detect the presence of the virulence-associated protein antigen on the isolates. This allowed for the proportion and concentration of virulent R. equi to be determined. Foals that were found to have ultrasonographic evidence of peripheral pulmonary abscessation or consolidation underwent aseptic trans-cutaneous tracheobronchial aspiration. Positive results of TBA were used to categorize foals as affected with R. equi pneumonia. R. equi pneumonia developed in 31% of the foals. Shedding of virulent R. equi was observed in at least 1 sampling period for every mare examined, and >33% were culture-positive during all sampling periods. However, significant differences were not observed in either the fecal concentrations of total or virulent R. equi from dams of affected foals compared to dams of unaffected foals. No significant temporal changes in the fecal concentrations of R. equi were observed. It was concluded that dams of affected foals do not shed more R. equi in feces than do dams of unaffected foals, indicating that heavier shedding by particular mares does not explain infection in their foals. However, the finding that virulent R. equi were excreted in the feces of all sampled mares indicates that mares are likely an important source of R. equi for their surrounding environment.
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Development and Validation of the Control in Relationships ScaleNaydenova, Ivelina N. 01 August 2007 (has links)
Psychological research suggests that, other things being equal, the desire for or exercise of control over consequences is advantageous to the individual. However, in the context of relationships where the needs and welfare of another person are salient, the preference and enactment of control may be more problematic. Furthermore, although considerable research attention has been devoted to issues of control in general, the more contextualized, relationship-specific conceptualization of control has remained relatively unexplored in the literature, and the relevant research that does exist is limited by measurement problems. The primary purpose of this project was to advance the study of control in relationships through the development and validation of a self-report instrument specifically designed to measure it. An initial pool of 82 items was written and subsequently refined using both Likert analysis and factor analysis in a study involving college student dating relationship participants (n = 240). The subsequent version of the Control in Relationships (CIR) measure consisted of 26 items, which showed good internal consistency and reliability over time. Furthermore, the factor structure of the 26 items was interpretable and suggested a coherent underlying structure of the CIR construct. Subsequently, the validity of the measure was assessed, indicating that CIR was significantly related to pertinent measures of control, and three separate measures of relationship satisfaction, as well as measures of partner trust and risk of intimacy. The validation portion of this study suggested the negative characteristics of the CIR construct that might be detrimental not only to the individual, but also to the relationship. Results supported the utility of CIR as a measure of control in relationships and also suggested several directions for future research.
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A study of the hydrolysis of the hexachloroantimonate (V) and hexafluoantimonate (V) ions in solutionsMazeika, William Anthony 12 1900 (has links)
No description available.
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Solubilities in the system gallium-mercuryBartholomay, Henry William 08 1900 (has links)
No description available.
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Pricing derivatives using Gram-Charlier ExpansionsCheng, Yin-Hei 09 April 2013 (has links)
In this thesis, we provide several applications of Gram-Charlier expansions in derivative
pricing. We first give an exposition on how to calculate swaption prices under the
the CIR2 model. Then we extend this method to CIR2++ model. We also develop a
procedure to calculate European call options under Heston’s model of stochastic volatility
by Gram-Charlier Expansions.
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Sovereign Credit Risk Analysis for Selected Asian and European CountriesZhang, Min January 2013 (has links)
We analyze the nature of sovereign credit risk for selected Asian and European countries through a set of sovereign CDS data for an eighty-year period that includes the episode of the 2008-2009 financial crisis. Our principal component analysis results suggest that there is strong commonality in sovereign credit risk across countries after the crisis. The regression tests show that the commonality is linked to both local and global financial and economic variables. Besides, we also notice intriguing differences in the sovereign credit risk behavior of Asian and European countries. Specifically, we find that some variables, including foreign reserve, global stock market, and volatility risk premium, affect the of Asian and European sovereign credit risks in the opposite direction. Further, we assume that the arrival rates of credit events follow a square-root diffusion from which we build our pricing model. The resulting model is used to decompose credit spreads into risk premium and credit-event components.
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Quantitative genetic models for genomic imprintingSanture, Anna Wensley, n/a January 2006 (has links)
A gene is imprinted when its expression is dependent on the sex of the parent from which it was inherited. An increasing number of studies are suggesting that imprinted genes have a major influence on medically, agriculturally and evolutionarily important traits, such as disease severity and livestock production traits. While some genes have a large effect on the traits of an individual, quantitative characters such as height are influenced by many genes and by the environment, including maternal effects. The interaction between these genes and the environment produces variation in the characteristics of individuals. Many quantitative characters are likely to be influenced by a small number of imprinted genes, but at present there is no general theoretical model of the quantitative genetics of imprinting incorporating multiple loci, environmental effects and maternal effects. This research develops models for the quantitative genetics of imprinting incorporating these effects, including deriving expressions for genetic variation and resemblances between relatives. Imprinting introduces both parent-of-origin and generation dependent differences in the derivation of standard quantitative genetic models that are generally equivalent under Mendelian expression. Further, factors such as epistasis, maternal effects and interactions between genotype and environment may mask the effect of imprinting in a quantitative trait. Maternal effects may also mimic a number of signatures in variance and covariance components that are expected in a population with genomic imprinting. This research allows a more comprehensive understanding of the processes influencing an individual�s characteristics.
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A quantitative analysis of B cell responses to specific antigenTurner, M. L. January 2008 (has links)
Humoral immune responses arise when B lymphocytes respond to activation signals, enter mitosis and proliferate rapidly. Concurrent differentiation to antibody secreting and isotype switched effector cells is tightly linked to cell division, such that the degree of proliferation strongly influences the nature of the response that is mounted. Previous versions of a quantitative model of lymphocyte proliferation based on inherent variation in the time cells take to divide or die were able to accurately describe the entry of naïve, resting cells into division and subsequent population expansion. In the work described here, the model was tested and extended by investigating the proliferation cessation and population contraction phases of in vitro B cell responses. Experiments designed to assess the distribution of times to die of cells that had ceased proliferating revealed that the number of divisions achieved by individual cells is stochastically distributed in the population and varied in response to different stimuli. Both the concentration and duration of stimulation regulate the number of divisions undergone. A cell that stops dividing is described as having reached its division destiny. Further investigation revealed that cells reach a maximum division destiny even during repeated high-dose stimulation. This limit is dictated by cellular progression through divisions, and is not dependent on the survival capacity of the cells or time. Incorporation of division destiny in the quantitative model allows proliferation cessation to be described and the distribution of times to die after this point to be assessed. This extended model can describe the full course of in vitro lymphocyte proliferative responses to various different stimuli. (For complete abstract open document)
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Evolutionary theory: a 'good' explanatory framework for research into technological innovationMyers, Stephen Keir Unknown Date (has links)
This study attempts to answer the question; does evolutionary theory provide a ‘good’ explanatory framework for examining the phenomenon of technological innovation? In doing so, the study critically examines mainstream marketing’s in-place explanatory frameworks, offers an explanation of ‘evolution’ based on new insights from a broad range of (sub)disciplines, and makes the practical proposition that this explanation is a ‘good’ analogous representation of the technological innovation process. As an alternative to the ‘scientific empiricist’ approach that dominates much of marketing’s research into technological innovation, the study develops a research methodology that is based within a postmodern philosophy, adopts an epistemology of transcendental realism, bases the research design on abduction and textual explanation, and brings together a research method based on the criteria of interesting, plausibility and acceptability. Familiarisation with mainstream marketing’s explanatory frameworks for research into technological innovation identified Diffusion theory, New Product Development theory and Network theory as dominant. It is concluded that these frameworks are based on problematic theoretical foundations, a situation considered as largely due to a pre-occupation with assumptions that are atomistic, reductionistic, deterministic, gradualistic and mechanistic in nature. It is argued, that in concert with the ‘socialised’ dominance of mathematical form over conceptual substance, mainstream marketing’s research into technological innovation is locked into a narrow range of ‘preordained axiomatics’. The explanation of ‘evolution’ offered within the study is based on a why, what, how, when and where format. The resultant explanation represents a significant departure from the (neo)Darwinian biological perspective that tends to dominate evolutionary explanations of socio-economic behaviour, in that the focus is on the principles (and associated conceptualizations) of ‘variation’, ‘selection’ and ‘preservation’ within the broader context of open and dissipative systems. The offered explanation presents a number of theoretical ideas, and in particular, that evolution can only occur in a ‘multidimensional space of possibilities’, denotes a process of ‘adaptive emergence’, and is essentially concerned with ‘on-going resilience through adaptability’. The practical proposition is made that the offered explanation of ‘evolution’ can be used in an ‘as if’ manner, that is, the principles of ‘variation’, ‘selection’, and ‘preservation’ (and the meanings ascribed to them through conceptualization) are analogically transferable to the technological innovation research area. The proposition is supported through reference to theoretical and empirical research, highlighting the similarity with respect to the generative mechanisms, structures and contingent conditions underpinning both ‘evolution’ and ‘technological innovation’.
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Evolutionary theory: a 'good' explanatory framework for research into technological innovationMyers, Stephen Keir Unknown Date (has links)
This study attempts to answer the question; does evolutionary theory provide a ‘good’ explanatory framework for examining the phenomenon of technological innovation? In doing so, the study critically examines mainstream marketing’s in-place explanatory frameworks, offers an explanation of ‘evolution’ based on new insights from a broad range of (sub)disciplines, and makes the practical proposition that this explanation is a ‘good’ analogous representation of the technological innovation process. As an alternative to the ‘scientific empiricist’ approach that dominates much of marketing’s research into technological innovation, the study develops a research methodology that is based within a postmodern philosophy, adopts an epistemology of transcendental realism, bases the research design on abduction and textual explanation, and brings together a research method based on the criteria of interesting, plausibility and acceptability. Familiarisation with mainstream marketing’s explanatory frameworks for research into technological innovation identified Diffusion theory, New Product Development theory and Network theory as dominant. It is concluded that these frameworks are based on problematic theoretical foundations, a situation considered as largely due to a pre-occupation with assumptions that are atomistic, reductionistic, deterministic, gradualistic and mechanistic in nature. It is argued, that in concert with the ‘socialised’ dominance of mathematical form over conceptual substance, mainstream marketing’s research into technological innovation is locked into a narrow range of ‘preordained axiomatics’. The explanation of ‘evolution’ offered within the study is based on a why, what, how, when and where format. The resultant explanation represents a significant departure from the (neo)Darwinian biological perspective that tends to dominate evolutionary explanations of socio-economic behaviour, in that the focus is on the principles (and associated conceptualizations) of ‘variation’, ‘selection’ and ‘preservation’ within the broader context of open and dissipative systems. The offered explanation presents a number of theoretical ideas, and in particular, that evolution can only occur in a ‘multidimensional space of possibilities’, denotes a process of ‘adaptive emergence’, and is essentially concerned with ‘on-going resilience through adaptability’. The practical proposition is made that the offered explanation of ‘evolution’ can be used in an ‘as if’ manner, that is, the principles of ‘variation’, ‘selection’, and ‘preservation’ (and the meanings ascribed to them through conceptualization) are analogically transferable to the technological innovation research area. The proposition is supported through reference to theoretical and empirical research, highlighting the similarity with respect to the generative mechanisms, structures and contingent conditions underpinning both ‘evolution’ and ‘technological innovation’.
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