Worldwide, integral type bridges are being used in greater numbers in lieu of jointed bridges because of their structural simplicity, first-cost economy, and outstanding durability. In the UK and the US states of Tennessee and Missouri, for example, the construction of most moderate length bridges is based on the integral bridge concept.

This book explores the connections between the theory of hyperspherical harmonics, momentum-space quantum theory, and generalized Sturmian basis functions; and it introduces methods which may be used to solve many-particle problems directly, without the use of the self-consistent-field approximation. The method of many-electron Sturmians offers an interesting and fresh alternative to the usual SCF-CI methods for calculating atomic and molecular structure. When many-electron Sturmians are used, and when the basis potential is chosen to be the attractive potential of the nuclei in the system, the following advantages are offered: the matrix representation of the nuclear attraction potential is diagonal; the kinetic energy term vanishes from the secular equation; the Slater exponents of the atomic orbitals are automatically optimized; convergence is rapid; a correlated solution to the many-electron problem can be obtained directly, without the use of the SCF approximation; and excited states can be obtained with good accuracy.

This Country Framework Report (CFR) is one of a series of country reviews aimed at improving the environment for the private sector involvement in infrastructure. This book describes and evaluates the current status and performance of key infrastructure sectors and the policy, regulatory, and institutional environment for involving the private sector in infrastructure sectors. It also helps policymakers to establish future reform and development strategies.

This volume comprises the Proceedings of the Tenth National Conference on Manufacturing Research held at the University of Technology, Loughborough, UK, in September 1994, the latest in a series of meetings first convened in 1985, and the first to be published by Taylor & Francis Ltd.; Keith Case and Steven Newman, the Conference Chairs, the book contains R. H. Weston's keynote address, "Requirements and Trends in Manufacturing Systems", and over 140 contributions, which together represent the leading edge, state-of-the-art knowledge in the area of manufacturing and production engineering and management.

Predicting Outdoor Sound provides a scholarly yet practical examination of the phenomena that affect outdoor sound close to the ground and its prediction. It is devoted to bringing together theories and data to give both researchers and practitioners the basis for deciding which model to use in a given situation.

With its distinguished editor and array if international contributors, the Handbook of Nonwovens offers a comprehensive review of the latest advances in this area and how they can be applied to particular products. The book reviews the development of the industry and the different classes of nonwoven material. It then discusses methods of manufacture such as dry-laid, wet-laid, and polymer-laid web foundation. Other techniques analyzed include mechanical, thermal, and chemical bonding as well as chemical and mechanical finishing systems. The book concludes with an assessment of the characterization, testing, and modelling of nonwoven materials.

A large number of scientists and engineers employ Monte Carlo simulation and related global optimization techniques (such as simulated annealing) as an essential tool in their work. For such scientists, there is a need to keep up to date with several recent advances in Monte Carlo methodologies such as cluster methods, data- augmentation, simulated tempering and other auxiliary variable methods.

Once the stuff of science fiction, neural prosthetics are now a reality. Research and technology are creating implants that enable the deaf to hear, the blind to see, and the paralyzed to move.

"Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of developing and maintaining larger and complex software systems in a dynamic and changing environment, machine learning methods have been playing an increasingly important role in many software development and maintenance tasks. Advances in Machine Learning Applications in Software Engineering provides analysis, characterization, and refinement of software engineering data in terms of machine learning methods. This book depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering also offers readers direction for future work in this emerging research field."

Technology is rapidly changing the field of human resources management (HRM), and propelling the field in some entirely new directions labeled eHR–electronic human resources. Thus, this volume focuses on technology, eHR, and virtual organizations. Well-known experts in eHR review the trends in the field including employee self-service, e-learning, strategies for implementing eHR, virtual work arrangements and their impact on human resources management. In addition, the volume focuses on the implications of using technology for HRM, and the functional and dysfunctional consequences of using technology to achieve HRM goals (e.g., privacy and employee customer satisfaction issues). The volume should be especially useful for researchers and practitioners in the fields of HRM and information technology.

Hardbound. We live in an ever complex, dynamic and technological-based world. A world where industries, businesses and agencies rely ever increasingly on automated systems to maintain efficiency, increase productivity, minimize human error or gain a competitive edge. Moreover, automation is now seen by many organizations as the solution to human performance problems.

This volume launches a new series that will focus on providing state-of-the-art chapters that advance our understanding of human performance in organizational systems as cognitive engineering principles are applied.