Sweet potato in Oceania: a reappraisal

allard's introductory chapter reviews the lively debate concerning the introduction of sweet potato into Oceania and its role in debates concerning population growth, population density, and their relationship to agricultural intensification and socio- economic and political change, particularly in New Guinea. Other forms of proxy data include archaeological evidence for cropping and agricultural technology (Coil and Kirch); temporal data indicative of shifts in landscape use and changing agricultural practices (Bayliss-Smith et al.; Haberle and Atkin; Wallin et al.); and data from legends, ethnohistoric documents, and ethnographic studies providing evidence for the timing of the introduction, and the importance of the crop in various Oceanic societies (Allen; Dunis; Wallin et al.).

Teaching software engineering fundamentals to practicing engineers

This paper describes an ongoing collaboration between Boeing Australia Limited and the University of Queensland to develop and deliver an introductory course on software engineering for Boeing Australia. The aim of the course is to provide a common understanding for all Boeing Australia's engineering staff of the nature of software engineering and the practices used throughout Boeing Australia. It is meant as an introductory course that can be presented to people with varying backgrounds, such as recent software engineering graduates, systems engineers, quality assurance personnel, etc. The paper describes the structure and content of the course, and the evaluation techniques used to collect feedback from the participants and the corresponding results. The course has been well-received by the participants, but the feedback from the course has indicated a need for more advanced courses in specific areas.

Achieving completeness: from constructive set theory to large cardinals

This thesis is an exploration of several completeness phenomena, both in the constructive and the classical settings. After some introductory chapters in the first part of the thesis where we outline the background used later on, the constructive part contains a categorical formulation of several constructive completeness theorems available in the literature, but presented here in an unified framework. We develop them within a constructive reverse mathematical viewpoint, highlighting the metatheory used in each case and the strength of the corresponding completeness theorems. The classical part of the thesis focuses on infinitary intuitionistic propositional and predicate logic. We consider a propositional axiomatic system with a special distributivity rule that is enough to prove a completeness theorem, and we introduce weakly compact cardinals as the adequate metatheoretical assumption for this development. Finally, we return to the categorical formulation focusing this time on infinitary first-order intuitionistic logic. We propose a first-order system with a special rule, transfinite transitivity, that embodies both distributivity as well as a form of dependent choice, and study the extent to which completeness theorems can be established. We prove completeness using a weakly compact cardinal, and, like in the constructive part, we study disjunction-free fragments as well. The assumption of weak compactness is shown to be essential for the completeness theorems to hold.

Neural networks: A principled perspective

Introductory accounts of artificial neural networks often rely for motivation on analogies with models of information processing in biological networks. One limitation of such an approach is that it offers little guidance on how to find optimal algorithms, or how to verify the correct performance of neural network systems. A central goal of this paper is to draw attention to a quite different viewpoint in which neural networks are seen as algorithms for statistical pattern recognition based on a principled, i.e. theoretically well-founded, framework. We illustrate the concept of a principled viewpoint by considering a specific issue concerned with the interpretation of the outputs of a trained network. Finally, we discuss the relevance of such an approach to the issue of the validation and verification of neural network systems.

Bayesian methods for neural networks

Bayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a potential solution to the problem of over-fitting. This chapter aims to provide an introductory overview of the application of Bayesian methods to neural networks. It assumes the reader is familiar with standard feed-forward network models and how to train them using conventional techniques.

Bayesian methods for neural networks

Bayesian techniques have been developed over many years in a range of different fields, but have only recently been applied to the problem of learning in neural networks. As well as providing a consistent framework for statistical pattern recognition, the Bayesian approach offers a number of practical advantages including a potential solution to the problem of over-fitting. This chapter aims to provide an introductory overview of the application of Bayesian methods to neural networks. It assumes the reader is familiar with standard feed-forward network models and how to train them using conventional techniques.

Introduction to organisational behaviour

Introduction to Organisational Behaviour is the first truly integrated multimedia package for introductory OB modules. It provides a rigorous critique of the essential organisational behaviour topics in a creative, interactive and visual way. Key features include: - Practitioner case studies presenting real organisational dilemmas accompanied by video interviews online where the practitioners talk about approaches and solutions - Tailored tutor resources online, recognising that you have different needs - one area is designed for new OB lecturers; the other contains materials for more experienced OB lecturers - An underpinning focus on employability skills, with tips in the book on how each topic could be linked to different skills and professionally produced video demonstrations online - A global perspective reflecting today's market-place, integrated through global examples and theories including those from developing countries - Innovative learning features including ethical dilemmas, best and worst practice examples, taking your learning further, review and discussion questions, applying theory to practice and a glossary - Written by a team of experts at prestigious UK-based and international institutions - A foreword by Richard Atfield of the Higher Education Academy. Online resources For tutors: - Interviews with practitioners - Demonstrations of employability skills - Additional short and long case study per chapter with questions - Additional discussion and assignment questions - Tutorial activities - PowerPoint slides - Guidance notes - Figures and tables from the book For students: - Web links including YouTube links and links to seminal articles

Principles of marketing

Principles of Marketing takes a practical, managerial approach to marketing. Continuing with tradition, it is rich in topical examples and applications that show the major decisions that marketing managers face in their efforts to balance an organisation’s objectives and resources against needs and opportunities in the global marketplace. The Fourth Edition has changed to reflect marketing’s ever changing challenges. All preview cases, marketing insights and end of chapter cases are revised or completely changed to embrace the growth in e-commerce. In addition, recognising Europe’s internationalism and the growth of globalisation, examples and cases are drawn, not from Europe alone, but from the US, Japan, South-East Asia and Africa. This is suitable for any undergraduate or postgraduate undertaking an introductory course in marketing.

Neural networks: A principled perspective

Introductory accounts of artificial neural networks often rely for motivation on analogies with models of information processing in biological networks. One limitation of such an approach is that it offers little guidance on how to find optimal algorithms, or how to verify the correct performance of neural network systems. A central goal of this paper is to draw attention to a quite different viewpoint in which neural networks are seen as algorithms for statistical pattern recognition based on a principled, i.e. theoretically well-founded, framework. We illustrate the concept of a principled viewpoint by considering a specific issue concerned with the interpretation of the outputs of a trained network. Finally, we discuss the relevance of such an approach to the issue of the validation and verification of neural network systems.

Epiphanien unter eiskaltem Himmel. Zum Prosawerk von Klaus Böldl:for prose work of Klaus Böldl

This essay undertakes the first critical assessment of Klaus Böldl's prose works and discusses the position his three published books hold within the context of contemporary German literature. After an introductory examination of Böldl's contribution to the literary portrayal of the peripheral, in this instance the North European/Scandinavian hemisphere, a contrastive analysis of the plots identifies recurring patterns and motifs. In the main part of the essay, the two focal characteristics of Böldl's writings are explored in depth: the narrative destruction of the threshold between natural history and civilisation, as well as the function of transcendental experiences reminiscent of epiphanies. With reference to theoretical writings by Walter Benjamin and George Steiner these literary epiphanies are interpreted as moments of transcendancy's 'profane presence'. © Springer 2005.

Casebook on Landlord and Tenant Law

This book provides a comprehensive coverage of the law of landlord and tenant, including the leading cases in the main subject areas. In addition to extracts from leading judgments, each chapter has a section of introductory text, as well as detailed discussive commentary linking the extracts.

Financial accounting:a practical introduction

Discussing the theory and the application of accounting methods in isolation does not enable the learner to fully understand the material and the key techniques, and get the practice required. This text is an effort to “put a face” on this problem. Learning financial accounting is like learning a different language and as such, lots of practice is required. Financial accounting is not particularly a popular subject among first year students. Students usually find the first year introductory financial accounting module quite challenging and demanding. Many lecturers are consistently asked to provide more questions and exercises. Attempting a large number of accounting questions provides students with the necessary self-assurance and familiarity required to deal with more difficult aspects of financial accounting.

Elements of molecular neurobiology:instruction manual to 2r.e

Extensively updated, revised and illustrated this unique introductory text presents a molecular account of the structure, function and development of the brain and nervous systems. This book describes the latest research in neurobiology made possible by modern molecular biology techniques. The author synthesizes this new knowledge and demonstrates how an understanding at the molecular level can contribute towards a theory of the brain in health and disease.

Modelling of induction motors for system faults and transient stability studies

The research carried out in this thesis was mainly concerned with the effects of large induction motors and their transient performance in power systems. Computer packages using the three phase co-ordinate frame of reference were developed to simulate the induction motor transient performance. A technique using matrix algebra was developed to allow extension of the three phase co-ordinate method to analyse asymmetrical and symmetrical faults on both sides of the three phase delta-star transformer which is usually required when connecting large induction motors to the supply system. System simulation, applying these two techniques, was used to study the transient stability of a power system. The response of a typical system, loaded with a group of large induction motors, two three-phase delta-star transformers, a synchronous generator and an infinite system was analysed. The computer software developed to study this system has the advantage that different types of fault at different locations can be studied by simple changes in input data. The research also involved investigating the possibility of using different integrating routines such as Runge-Kutta-Gill, RungeKutta-Fehlberg and the Predictor-Corrector methods. The investigation enables the reduction of computation time, which is necessary when solving the induction motor equations expressed in terms of the three phase variables. The outcome of this investigation was utilised in analysing an introductory model (containing only minimal control action) of an isolated system having a significant induction motor load compared to the size of the generator energising the system.

Elements of molecular neurobiology

Extensively updated, revised and illustrated this unique introductory text presents a molecular account of the structure, function and development of the brain and nervous systems. This book describes the latest research in neurobiology made possible by modern molecular biology techniques. The author synthesizes this new knowledge and demonstrates how an understanding at the molecular level can contribute towards a theory of the brain in health and disease.