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Pearson

Lee K-J, MoCormiok W D, Pearson J E and Swinney H L 1994 Experimental observation of self-replioating spots in a reaotion-diffusion system Nature 369 215-8... [Pg.1118]

Mastuura S, Blake G A, Wyss R, Pearson J, Kadow C, Jackson A and Gossard A C 1999 A travelling-wave photomixer based on angle-tuned phase matching Appl. Rhys. Lett. 74 2872-4... [Pg.1261]

Matsuura S, Chen P, Blake G A, Pearson J and Pickett H M 1999 A tunable, cavity-locked diode laser system for terahertz photomixing IEEE Micro. Theory Technol. 48 380-7... [Pg.1261]

Wiiiiams G, Pearson C, Bryoe M R and Petty M C 1992 Langmuir-Biodgett fiims of Cgg Thin Solid Films 209 150-... [Pg.2429]

A.R. Leach, Molecular Modelling - Principles and Applications, 2nd edition, Pearson Education, Harlow, UK, 2001. [Pg.399]

The magnitude of dependencies in the variables is determined by the correlation coefficient. The correlation coefficient according to Pearson is given by Eq. (1). [Pg.444]

Alexandra Seabrook, Pauline Gillet and Julie JCnight at Pearson Education provided the foundation of the publishing team, coping with a steady stream of questions and keeping everyone to schedule. Especial thanks are due to Julie, who did a splendid job as editor. [Pg.17]

Lipman, D ] and W R Pearson 1985. Rapid and Sensitive Protein Similarity Searches. Science 227 1435-1441. [Pg.576]

Pearson W R 1990, Rapid and Sensitive Sequence Comparison with FASTP and FASTA. Methoc Enzymology 183 63-98. [Pg.577]

Pearson W R and D J Lipman 1988. Improved Tools for Biological Sequence Comparison. Proceeding the National Academy of Sciences USA 85 2444-2448. [Pg.577]

It is also important to check for correlations between the descriptors. Highly correlated descriptors could lead to the information that they encode being over-represented. A straightforward way to determine the degree of correlation between two properties is to calculate a correlation coefficient. Pearson s correlation coefficient is given by ... [Pg.697]

Pearson,. I.R.A., 1994. Report on University of Wales Institute of Non-Newtonian Fluid Mechanics Mini Symposium on Continuum and Microstructural Modelling in Computational Rheology. /. Non-Newtonian Fluid Mech. 55, 203 -205. [Pg.16]

Pearson, J. R. A., 1979. Polymer flows dominated by high heat generation and low heat transfer. Polym. Eng. Sci. 18, 1148-1154. [Pg.139]

Pearson, J.R. A., 1985. Mechanics of Polymer Processing, Applied Science Publishers, Barkings, Essex, UK. [Pg.190]

Pearson, J. R. A. and Petrie, C. J. S., 1970a. The flow of a tabular film, part 1 formal mathematical representation. J. Fluid Mech. 40, 1-19. [Pg.190]

The Hard-Soft-Add-Base (HSAB) theory was developed by Pearson in 1963. According to this theory, Lewis acids and Lewis bases are divided into two groups on one hand hard acids and bases, which are usually small, weakly polarizable species with highly localised charges, and on the other hand soft acids and bases which are large, polarizable species with delocalised charges. A selection of Lewis acids, ordered according to their hardness in aqueous solution is presented in Table 1.3. [Pg.28]

R. G. Pearson, Theoretical Models of Chemical Bondinq Part 2 Z. B. Maksic, Ed. Springer-Verlag, Berlin (1990). [Pg.122]

There were two schools of thought concerning attempts to extend Hammett s treatment of substituent effects to electrophilic substitutions. It was felt by some that the effects of substituents in electrophilic aromatic substitutions were particularly susceptible to the specific demands of the reagent, and that the variability of the polarizibility effects, or direct resonance interactions, would render impossible any attempted correlation using a two-parameter equation. - o This view was not universally accepted, for Pearson, Baxter and Martin suggested that, by choosing a different model reaction, in which the direct resonance effects of substituents participated, an equation, formally similar to Hammett s equation, might be devised to correlate the rates of electrophilic aromatic and electrophilic side chain reactions. We shall now consider attempts which have been made to do this. [Pg.137]

Alkenes in (alkene)dicarbonyl(T -cyclopentadienyl)iron(l+) cations react with carbon nucleophiles to form new C —C bonds (M. Rosenblum, 1974 A.J. Pearson, 1987). Tricarbon-yi(ri -cycIohexadienyI)iron(l-h) cations, prepared from the T] -l,3-cyclohexadiene complexes by hydride abstraction with tritylium cations, react similarly to give 5-substituted 1,3-cyclo-hexadienes, and neutral tricarbonyl(n -l,3-cyciohexadiene)iron complexes can be coupled with olefins by hydrogen transfer at > 140°C. These reactions proceed regio- and stereospecifically in the successive cyanide addition and spirocyclization at an optically pure N-allyl-N-phenyl-1,3-cyclohexadiene-l-carboxamide iron complex (A.J. Pearson, 1989). [Pg.44]

A. J. Pearson, Melallo-organic Chemistry, Wiley, Chichester, 1985. [Pg.11]


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Acid base concept Pearson

Acid-base Pearson hard-soft definition

Ansell Pearson, Keith

Bader-Pearson-Salem approach

Basolo, Fred and Pearson, Ralph G., The Trans Effect in Metal Complexes

Chemical Hardness. R. G. Pearson

Chemical hardness Pearson

Correlation Pearson

Distribution Pearson system

Electronegativity Pearson

Mechanisms of Substitution Reactions Fred Basolo and Ralph G. Pearson

Mooser, E. and Pearson

Mooser-Pearson approach,

Mooser-Pearson concept

Mooser-Pearson diagram

Mooser-Pearson extended rule

Mooser-Pearson phase

Mooser-Pearson rule

Neyman-Pearson Lemma

Neyman-Pearson hypothesis testing

Neyman-Pearson test

Parr and Pearson

Parr-Pearson hardness

Pearson 1 (well

Pearson Correlation Coefficient Sample Problem

Pearson Distribution

Pearson Electronics

Pearson JRA

Pearson VII

Pearson VII profile

Pearson and Mawby softness parameter

Pearson chi-square

Pearson chi-square tests

Pearson chi-squared tests

Pearson coefficient

Pearson concept

Pearson concept group

Pearson concept hard-soft

Pearson confidence intervals

Pearson correlation analysis

Pearson correlation coefficient

Pearson correlation matrix

Pearson diagram

Pearson distance

Pearson elements

Pearson hard-soft acid-base

Pearson index

Pearson method

Pearson model

Pearson molecular similarity

Pearson notation

Pearson number

Pearson parametric

Pearson product correlation coefficient

Pearson product-moment correlation

Pearson product-moment correlation coefficient

Pearson residuals

Pearson s concept

Pearson s correlation

Pearson s symbols

Pearson surveys

Pearson symbol

Pearson symbol code

Pearson syndrome

Pearson theory

Pearson, Drew

Pearson, George

Pearson, Graham

Pearson, James

Pearson, John

Pearson, Karl

Pearson, Ralph

Pearson, Richard

Pearson, William

Pearson-Helfand

Pearsons Product Moment Correlation coefficient (r)

Pearsons classification

Pearson’s HSAB

Pearson’s HSAB principle

Pearson’s Handbook

Pearson’s classifications

Pearson’s coefficient

Pearson’s coefficient of regression

Pearson’s correlation coefficient

Pearson’s dual

Pearson’s hard-soft acid-base theory

Pearson’s hard/soft acid-base

Pearson’s notation

Pearson’s rule

Pearson’s theory

Perchloric Acid G. S. Pearson

Photooxidation Reactions, Gaseous (Hoare and Pearson)

Split-Pearson VII

Structure types and unit cell Pearson symbol

Strukturbericht and Pearson Notation

Swainsonine (Pearson

The Pearson Classification

The Pearson Model Electronegativity Equalization

The Pearson retrosynthetic analysis of (-)-augustamine

Tye-Pearson Accident Ratio

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