Authors: James Bonnar
Comments: 79 Pages.
In this book we discuss the technical and non-technical reasons science has been unable to find cures for heritable diseases, despite the exponential increase in knowledge of disease mechanisms we currently witness. New directions in scientific research and protocols are suggested that may help bring about actual cures for genetic diseases through pharmacological gene therapy. A computational paradigm, called the omega algorithm, is developed, implemented and applied to find compounds that could potentially correct the delta F508 mutation responsible for cystic fibrosis. Links to downloadable files, including an extensive chemical reaction database, are given in an appendix to assist the reader with further studies.
This research work focuses on the production of biodiesel from palm kernel oil and coconut oil. The biodiesel was prepared by trans-esterification of the oils (unsaturated fatty acid) with an alcohol in the presence of a catalyst to give mono alkyl ester. The biodiesel produced was characterized and analyzed, the properties and the results obtained for biodiesel made from palm kernel oil and coco nut oil include API gravity (21.92 0 C, 25.580C) , Specific gravity (0.9223, 0.9030), Flash point (640 C, 620 C) Carbon residue (0.04%, 0.03%), Sediment and Water content (<0.1), sulphur content (0.17%, 0.16%), and iodine value (13.5mg, 12.6mg). Biodiesel made from palm kernel oil was compared with biodiesel made from coconut oil using these properties. The result shows that biodiesel is a good alternative fuel to the conventional fossil diesel since it is more environmentally friendly.
Authors: Taha Sochi
Comments: 205 Pages.
In this thesis we investigate high throughput computational methods for processing large quantities of data collected from synchrotrons and their application to spectral analysis of powder diffraction data. We also present the main product of this PhD programme, specifically a software called 'EasyDD' developed by the author. This software was created to meet the increasing demand on data processing and analysis capabilities as required by modern detectors which produce huge quantities of data. Modern detectors coupled with the high intensity X-ray sources available at synchrotrons have led to the situation where datasets can be collected in ever shorter time scales and in ever larger numbers. Such large volumes of datasets pose a data processing bottleneck which augments with current and future instrument development. EasyDD has achieved its objectives and made significant contributions to scientific research. It can also be used as a model for more mature attempts in the future. EasyDD is currently in use by a number of researchers in a number of academic and research institutions to process high-energy diffraction data. These include data collected by different techniques such as Energy Dispersive Diffraction, Angle Dispersive Diffraction and Computer Aided Tomography. EasyDD has already been used in a number of published studies, and is currently in use by the High Energy X-Ray Imaging Technology project. The software was also used by the author to process and analyse datasets collected from synchrotron radiation facilities. In this regard, the thesis presents novel scientific research involving the use of EasyDD to handle large diffraction datasets in the study of alumina-supported metal oxide catalyst bodies. These data were collected using Tomographic Energy Dispersive Diffraction Imaging and Computer Aided Tomography techniques.