In this book, Dr Mak views the financial market from a scientific perspective. The book attempts to provide a realistic description of what the market is, and how future research should be developed. The market is a complex phenomenon, and can be forecasted only with errors — if that particular market can be forecasted at all.The book reviews the scientific literatures on the financial market and describes mathematical procedures which demonstrate that some markets are non-random. How the markets are modeled — phenomenologically and from first principle — is explained.It discusses indicators, which are quite objective, rather than price patterns, which are rather subjective. Similarities between indicators in market trading and operators in mathematics are noted, and particularly, between oscillator indicators and derivatives in Calculus. It illustrates why some indicators, e.g., Stochastics, have limited usage. Several new indicators are designed and tested on theoretical waveforms to check their validity and applicability. The indicators have a minimal time lag, which is significant for trading purposes. Common market behaviors like divergences between price and momentum are explained. A skipped convolution technique is introduced to allow traders to pick up market movements at an earlier time. The market is treated as a nonlinear phenomenon. Forecasting of when the market is going to turn is emphasized.

This conference brought together the people working on 4π detectors to discuss what had been achieved, whether the results agreed, and to think about possible collaborations to measure the excitation function of several observables. It discussed the similarities and differences in the results obtained at low (100 MeV-1 GeV) and high (10 GeV-200 GeV) energies and outlined what the different fields could learn from each other, especially concerning correlations and particle production. It surveyed the success and also the insufficiency of the present theoretical approaches and discussed the direction in which they have to improve. Finally it gave an account of new developments in data analysis (wavelets, neural networks etc.).

The proceedings contain invited papers and contributions which capture the recent advances in technology (beams, detectors, electronics, computing) and emphasize the new frontiers opened up in Nuclear Physics. Results with most of the existing multidetectors, as well as the progress of new developments, were presented. The presentations of EUROGAM, GAMMASPHERE, GASP, DIAMANT, ORION, EDEN, DEMON, the Texas Neutron Ball, the DWARF Ball, INDRA, FOBOS, AMPHORA, MEDEA and the SIS/ESR Particle Ball will also be included. The progress in data collection with the new integrated electronics, as well as transputer farm and network distributed processing, is also presented. Experimental results cover superdeformation, multifragmentation, neutron-rich isotopes, dissipative collisions, cluster states and radioactive beam measurements.

Research in Computer and Robot Vision is directed toward researchers and graduate students in the field of computer vision. A broad spectrum of recent research is presented including sensing and navigation for mobile robots, the extraction of lines, curves, surfaces, and skeletons from intensity images and range images, human motion, and feature extraction. Three applied research projects are presented on the topics of handwriting recognition, automatic understanding of technical drawings, and the collection and interpretation of 3-D images for use in dentistry. These papers dramatically illustrate the breadth of implications of the use of computer vision in industrial, social, and even medical arenas.