A user-friendly instruction book based on Geoffrey Howe's original text written in the 1970's. It retains the unchanged principles underpinning the extraction of teeth and established techniques of surgical management, whilst incorporating the changes which have taken place in key areas of practice. New sections have been added on subjects such as the use of general anaesthetic and the medico-legal climate. A virtual 'Apprentice's Manual', this practical guide takes the student through basic procedures in simple steps, thus underpinning more theoretical teaching provided elsewhere. The author begins with the principles of tooth extraction then goes on to advise on the use of radiographs and the administration of anaesthesia. Surgical removal of teeth is also covered, and a complete section deals with possible complications and their management. This new book not only provides students with the fundamental knowledge needed to perform their first tooth extraction but also prepares them for more complicated techniques they may need to use later on. It should be an essential purchase for every dental undergraduate.Practical guidelines to efficient tooth removal Covers both simple and more complicated extraction techniques No other book concentrates solely on the mechanics of tooth extraction

This research uses an advanced statistical technique to expand upon the current understanding of war termination. Specifically, this thesis addressed questions concerning the most relevant factors toward predicting both the outcomes of interstate wars and the winners of intrastate and extra-systemic wars, within the limitations of the available data. Open-source war data from the Correlates of War Project was analyzed using both binary and multinomial logistic regression techniques. While the Correlates of War Project did not necessarily focus its data collection efforts on those variables historically associated with war termination, it did provide a sufficient number of variables with which to demonstrate the applicability of logistic regression techniques to war termination analyses. As a consequence, every significant logistic regression model contains a single relevant variable. For both intrastate and extra-systemic wars, the duration of the conflict was found to be most relevant to predicting the winner. In contrast, the proportion of total casualties borne by a nation in an interstate war was most relevant to predicting the manner in which an interstate war ends. Conclusions drawn from this research and suggestions for future statistical applications to war termination studies were also discussed.