Author details Population and Patient Health, King’s College London Dental Institute, Denmark Hill Campus, Bessemer Road, London SE5 9RS, UK. Oral Medicine Department, Faculty of Dentistry, Damascus University, Damascus, Syria. Eastman Dental Institute, University College London, London WC1X 8LD, UK. Centre for International Child Oral Health, King’s College London, 26-29 Drury Lane, Rooms 329-...

Stress Wars: the Direct Role of Host and Bacterial Molecular Chaperones in Bacterial Infection Brian Henderson,* Elaine Allan, and Anthony R. M. Coates Division of Microbial Diseases, UCL Eastman Dental Institute, University College London, London, and Medical Microbiology, Centre for Infection, Department of Cellular and Molecular Medicine, St. George’s, University of London, London, United Ki...

S. FEDELE, G. FRICCHIONE, S.R. PORTER and M.D. MIGNOGNA From the Division of Oral Medicine, Department of Odontostomatological and Maxillofacial Sciences, University of Naples ‘Federico II’, Naples, Italy, Oral Medicine Unit, Division of Maxillofacial Diagnostic, Medical and Surgical Sciences, Eastman Dental Institute, University College of London, London, UK, and Massachusetts General Hospital...

FURTHER READING Eastman Kodak Company (1977). Kodak Professional Photoguide, by Professional and Finishing Markets Division. Kodak Techbits (Summer, 1988). New Photographic Possibilities through the Use of Scanning Photomacrography, pp. 7–11. Stroebel, L. (1967, second edition, 1972). View Camera Technique. New York: Hastings Houise. Th e Professional Photo Source Book, by B&H, self-published i...

Levels of 5-fluorocytosine in blood were rapidly calculated by determining the amount of competition in the creatinine iminohydrolase (creatinine deiminase; EC 3.5.4.21) assay for creatinine with the Kodak Ektachem system (Eastman Kodak Co., Rochester, N.Y.). The correlation with bioassay values was extremely high (r = 0.982). Standards and samples were highly stable over time.

This paper proposes non-parametric measures for the fuzzy ARTMAP computational neural network to handle spatial uncertainty in remotely sensed imagery classification, i.e., ART Commitment (ART-C) and ART Typicality (ART-T), expressing in the first case the degree of commitment a classifier has for each class for a specific pixel, and in the second case, how typical that pixel’s reflectances are...

Based on integrated system optimisation and parameter estimation a method is described for on-line steady state optimisation which compensates for model-plant mismatch and solves a non-linear optimisation problem by iterating on a linear quadratic representation. The method requires real process derivatives which are estimated using a dynamic identification technique. The utility of the method ...