Ongoing work in the laboratory of Professor Chris Backhouse is aimed at developing a portable and inexpensive lab on a chip instrument. A system capable of molecular biology protocols including sample preparation (SP), polymerase chain reaction (PCR), and melting curve analysis (MCA) would meet the requirements for point of care genetic analysis. The SP, PCR, and MCA modules were designed and tested on a standalone basis and then integrated for analysis of raw clinical samples. An automated XY stage was developed for magnetic bead-based DNA purification. In addition, a LED/CCD-based optical detection module was employed for real time PCR and MCA. Data analysis algorithms and protocols were implemented to remove noise and interpret data. This work culminated in proof of principle on-chip SP-PCR-MCA to detect ß2m DNA from human buccal cells in a modular and inexpensive system. / Biomedical Engineering

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In development projects, designers should take into consideration the possibility of a vapor cloud explosion in the siting and design of a process plant from day one. The most important decisions pertinent to the location of different process areas, separation between different areas, location of occupied buildings and overall layout may be made at the conceptual stage of the project. During the detailed design engineering stage the final calculation of gas explosion loads is an important activity. However, decisions related to the layout and location of occupied buildings at this stage could be very costly. Therefore, at the conceptual phase of the development project for a hydrocarbon facility, it would be helpful to get a picture of possible vapor cloud explosion loads to be used in studying various options. This thesis presents the analytical parameters that are used in vapor cloud explosion risk analysis. It proposes a model structure for the analysis of vapor cloud explosion risks to buildings based on exceedance methodology. This methodology was developed in a computer program which is used to support this thesis. The proposed model considers all possible gas release scenarios through the use of the Monte Carlo simulation. The risk of vapor cloud explosions can be displayed using exceedance curves. The resulting model provides a predictive tool for vapor cloud explosion problems at the early stages of development projects, particularly in siting occupied buildings in onshore hydrocarbon facilities. It can also be used as a quick analytical tool for investigating various aspects of vapor cloud explosions. This model has been applied to a case study, a debutanizer process unit. The model was used to explore the different alternatives of locating a building near the facility. The results from the model were compared to the results of other existing software to determine the model validity. The results show that the model can effectively examine the risk of vapor cloud explosions.

The purpose of the paper is to explore the relationship between inflation and unemployment in Germany during the period from 1970 to 2012. Through the methods of cointegration, dynamic OLS and an error correction model, this paper highlights that there is no short run negative relationship between inflation and unemployment, and consequently the short run Phillips curve is an unsuitable instrument for making political decisions. Furthermore, there is a long run relationship between inflation and unemployment, which can be explained with asymmetric nominal wage rigidities and resulting frictional growth. Resulting policy implications reflect the advantage of a permanent higher inflation target for Germany. Since the beginning of the European Monetary Union, Germany has been on average 0.5% under the permanent inflation target of the central bank. Therefore, by using fiscal policy, Germany can reduce permanent unemployment without missing the inflation target of the central bank. Finally, despite of variety of intensive changes in the macroeconomic situation and particularly through the establishment of the European Monetary Union, the CUSUM and CUSUMsq test reveal that the estimate holds validity over the entire observation period and has not changed since the beginning of the European Monetary Union.

The thesis presents results from five related studies concerned with the development and application of analytical techniques for the measurement of inequality. Four of the research pieces are analytical works focusing on the methodology of inequality measurement, while the fifth is an empirical study of income mobility and inequality in Australia. The most significant work of the dissertation is concerned with the derivation of a new information-theoretic index for the measurement of inequality. The proposed index is based upon the same relationship between information theory and inequality measurement used for the construction of Generalized Entropy (GE) inequality measures and is equivalent to a technique established in the field of signal processing. The measure shares the axiomatic superiority of GE measures over other measurement techniques and exhibits an additional attractive decomposition property such that the contribution of any set of individuals towards inequality is directly observable. No existing axiomatically complete measure possesses this property and thus the new measure has a degree of dominance over other techniques such as the Gini coefficient and Theil’s entropy measures. An empirical illustration of the new index using U.S. unit record income data is provided to demonstrate the alternative decomposition technique. It is shown that persons self-described as ‘White’ or ‘Japanese’ in the U.S. census drive a greater proportion of total inequality than persons from other racial groups relative to their respective population sizes. Other theoretical work in the thesis focuses on the construction and interpretation of Lorenz curves. A new parametric functional form for estimating the Lorenz curve is presented and closed form expressions for the implicit probability density function, cumulative distribution function and Gini coefficient are derived. Furthermore the proposed Lorenz curve is shown to provide a better fit to a range of real world data than other single parameter specifications such as the Pareto formulation. In a separate chapter the issue of Lorenz curve determination is addressed by determining a convex spline to interpolate Lorenz curves from grouped data. The spline is shown to provide better estimates of the Gini coefficient than other interpolation techniques and always satisfies the regularity conditions required for a Lorenz curve. Additional work on Lorenz curves examines the link between these functions and GE inequality metrics. In the thesis it is shown that these indices may be derived as direct functions of the Lorenz curve and analytical expressions for various GE measures are given in terms of Lorenz curve parameters. These results provide a basis for studying the effect of Lorenz curve construction upon the calculation of entropy based inequality measurements. The thesis concludes with an empirical study into income inequality and mobility in Australia using the HILDA unit record and household data panel. The research shows that Australian income mobility is slightly lower than in other developed countries and that much of the observed mobility occurs at the lower end of the income distribution.

The thesis presents results from five related studies concerned with the development and application of analytical techniques for the measurement of inequality. Four of the research pieces are analytical works focusing on the methodology of inequality measurement, while the fifth is an empirical study of income mobility and inequality in Australia. The most significant work of the dissertation is concerned with the derivation of a new information-theoretic index for the measurement of inequality. The proposed index is based upon the same relationship between information theory and inequality measurement used for the construction of Generalized Entropy (GE) inequality measures and is equivalent to a technique established in the field of signal processing. The measure shares the axiomatic superiority of GE measures over other measurement techniques and exhibits an additional attractive decomposition property such that the contribution of any set of individuals towards inequality is directly observable. No existing axiomatically complete measure possesses this property and thus the new measure has a degree of dominance over other techniques such as the Gini coefficient and Theil’s entropy measures. An empirical illustration of the new index using U.S. unit record income data is provided to demonstrate the alternative decomposition technique. It is shown that persons self-described as ‘White’ or ‘Japanese’ in the U.S. census drive a greater proportion of total inequality than persons from other racial groups relative to their respective population sizes. Other theoretical work in the thesis focuses on the construction and interpretation of Lorenz curves. A new parametric functional form for estimating the Lorenz curve is presented and closed form expressions for the implicit probability density function, cumulative distribution function and Gini coefficient are derived. Furthermore the proposed Lorenz curve is shown to provide a better fit to a range of real world data than other single parameter specifications such as the Pareto formulation. In a separate chapter the issue of Lorenz curve determination is addressed by determining a convex spline to interpolate Lorenz curves from grouped data. The spline is shown to provide better estimates of the Gini coefficient than other interpolation techniques and always satisfies the regularity conditions required for a Lorenz curve. Additional work on Lorenz curves examines the link between these functions and GE inequality metrics. In the thesis it is shown that these indices may be derived as direct functions of the Lorenz curve and analytical expressions for various GE measures are given in terms of Lorenz curve parameters. These results provide a basis for studying the effect of Lorenz curve construction upon the calculation of entropy based inequality measurements. The thesis concludes with an empirical study into income inequality and mobility in Australia using the HILDA unit record and household data panel. The research shows that Australian income mobility is slightly lower than in other developed countries and that much of the observed mobility occurs at the lower end of the income distribution.

Thesis (M.S.)--Ohio University, August, 2000. / Title from PDF t.p.

Thesis (M.S.)--University of Delaware, 2007. / Principal faculty advisor: James L. Butkiewicz, Dept. of Economics. Includes bibliographical references.

Thesis (M.S. Ed.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 56-59). Also available via the Internet.

Thesis (Ph. D.)--University of Washington, 1998. / Vita. Includes bibliographical references (p. [59]-61).