This book is designed to guide social workers in their work as field instructors. It is unique in that it presents a conceptual system that unites social work theory taught in the classroom to actual practice in a variety of community settings. This system gives the field instructor a model to guide the student through a process that focuses attention on common elements of all social work practice situations. Many examples are presented to illustrate the application of this process. The Practice of Field Instruction in Social Work is an invaluable text for anyone preparing to become a field instructor, for current field instructors, and for faculty members responsible for field coordination. The information presented here is based on current research and teaching experience. The model presented in the book has been used with success in undergraduate and graduate programs throughout Canada and other countries.

In addition to field test results and theoretical knowledge, interpretation and engineering judgement on the available factual data is essential for proper planning and execution of ground investigation. Maximum subsurface information can be extracted with lesser budget if proper interpretation is made. In other words, no amount of site investigation is adequate without proper interpretation and application of engineering judgement. With this in consideration in mind, this book provides special focus to the importance of interpretation and engineering judgement in geotechnical projects. Places an emphasis on the role of site interpretation and the application of engineering judgement Discusses project personnel and how they have to understood ground conditions to respond accordingly Includes real-life examples that will be of great help for all those involved in the planning and execution of geotechnical projects

Plant Nutrition - From Genetic Engineering to Field Practice, the 12th International Colloquium on Plant Nutrition, is the latest in a series which began in 1954. Early meetings were mainly concerned with the practical problems of soil fertility, with soil assessment, fertilizer requirements and methods of analysis. As the colloquia have progressed, the emphasis has slowly changed. The practical problems are still important, but there is increasing emphasis on plant physiology, plant biochemistry, membrane biochemistry, and even on the chemistry of genes which control the proteins which transfer nutrient ions to the inside of cells. The meetings therefore provide a valuable opportunity for each half of the science of plant nutrition to interact with, and learn from the other half. This volume begins with five papers which review current knowledge in important fields: the rhizosphere, molecular biology, electron microscopy, location and function of elements in vivo, and modelling nutrient responses in the field. These themes are continued in groups of shorter papers which follow. In addition, there are sections on nutrient dynamics and partitioning, diagnostic techniques, plant survival strategies, mycorrhizas, and on nutrients such as P, N, S, K, Ca, Mg, and micronutrients. A large section is devoted specifically to boron - reflecting the considerable current interest in this element. In total there are 177 refereed papers providing both a broad overview and a detailed picture of the latest developments in pure and applied plant nutrition.

This book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and demonstrates their application to various areas of probabilistic modeling. A major problem in modern probabilistic modeling is the huge computational complexity involved in typical calculations with multivariate probability distributions when the number of random variables is large. Because exact computations are infeasible in such cases and Monte Carlo sampling techniques may reach their limits, there is a need for methods that allow for efficient approximate computations. One of the simplest approximations is based on the mean field method, which has a long history in statistical physics. The method is widely used, particularly in the growing field of graphical models. Researchers from disciplines such as statistical physics, computer science, and mathematical statistics are studying ways to improve this and related methods and are exploring novel application areas. Leading approaches include the variational approach, which goes beyond factorizable distributions to achieve systematic improvements; the TAP (Thouless-Anderson-Palmer) approach, which incorporates correlations by including effective reaction terms in the mean field theory; and the more general methods of graphical models. Bringing together ideas and techniques from these diverse disciplines, this book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and demonstrates their application to various areas of probabilistic modeling.