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Graphical user interfaces (Computer systems) --- Python (Computer program language) --- Interfaces graphiques (Informatique) --- Python (Langage de programmation) --- Qt (Electronic resource) --- 681.3*D2 --- 681.3*D3 --- Software engineering: protection mechanisms; standards--See also {681.3*K63}; {681.3*K51} --- Programming languages --- 681.3*D3 Programming languages --- 681.3*D2 Software engineering: protection mechanisms; standards--See also {681.3*K63}; {681.3*K51} --- Scripting languages (Computer science) --- GUIs (Computer systems) --- User interfaces (Computer systems) --- Qt 4 (Electronic resource --- Qt Toolkit (Electronic resource) --- Monograph --- Python (langage de programmation) --- Programming languages (Electronic computers) --- Langages de programmation --- Interfaces graphiques (informatique)

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Spectrometric and optical chemical analysis --- fysicochemie --- GG Clay Mineralogy --- X-ray spectroscopy --- -Emission spectroscopy, X-ray --- Energy dispersive x-ray spectroscopy --- Excitation analysis, Fluorescent --- Fluorescence analysis, X-ray --- Fluorescent excitation analysis --- Fluorescent x-ray spectroscopy --- X-ray emission spectroscopy --- X-ray fluorescence analysis --- Spectrum analysis --- Tables --- -Tables --- Fire prevention --- Standards --- Congresses. --- XES (X-ray emission spectroscopy) --- X RADIATION --- Monograph

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Water is present when paper is made and when it ages. Water also serves many essential functions when deteriorated paper is treated by conservators. Drawing on paper industry and scientific research, Paper and Water examines closely the relationship between this common cellulosic material and H2O.The interaction between paper and water is a topic of primary importance for every conservator working with paper objects and other cellulose-based materials. Throughout the book, the theories that underlie the effects of water on paper, and their practical application, are presented in relation to the processes of conservation. Paper and Water is a reference and teaching compendium for conservation professionals involved in the preservation of paper objects in archives, libraries and fine museums around the world. Written by experts in paper conservation, this book and DVD aim to serve a rapidly expanding profession.The book includes :- integrated knowledge from disciplines of paper engineering, conservation science and conservation practice- hundreds of full colour illustrations to aid understanding- DVD featuring videos and animations, most of which exclusively produced for this book, and a selection of key illustrations from the book to support teaching

Book conservation --- Paper --- Water chemistry --- Cellulose --- Papier --- Eau --- Preservation. --- Chemistry. --- Conservation --- Chimie --- 676.014 --- 025.85 --- Paper. --- Water. --- Water --- Hydrology --- Chemistry, Technical --- Papers --- Fibers --- Writing materials and instruments --- Chemical constitution, composition (of pulps, paper etc.) --- Onderhoud van boeken. Restauratie. Vriesdrogen. Boekbeschadiging --- standards. --- chemistry. --- Conservation and restoration --- Deterioration --- 025.85 Onderhoud van boeken. Restauratie. Vriesdrogen. Boekbeschadiging --- 676.014 Chemical constitution, composition (of pulps, paper etc.) --- water damage --- moisture --- preserving --- Preservation --- Conservation et restauration

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Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. Includes numerous worked examples and exercises within each chapter. Accompanied by a website featuring worked examples, data sets, exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology & but wi

Computer industry: markets; standards; statistics; suppliers --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 681.3*K1 Computer industry: markets; standards; statistics; suppliers --- Mathematical statistics --- R (Computer program language) --- 681.3*D3 --- 681.3*G3 --- 681.3*I25 --- 681.3*J2 --- 681.3*K1 --- GNU-S (Computer program language) --- Domain-specific programming languages --- 681.3*D3 Programming languages --- Programming languages --- 681.3*J2 Physical sciences and engineering (Computer applications) --- Physical sciences and engineering (Computer applications) --- 681.3*I25 Programming languages and software: expert system tools and techniques (Artificial intelligence)--See also {681.3*D32} --- Programming languages and software: expert system tools and techniques (Artificial intelligence)--See also {681.3*D32} --- Programming --- R (Computer program language). --- Statistique mathématique --- R (Langage de programmation) --- Textbooks --- Manuels d'enseignement supérieur --- Mathematical statistics - Textbooks --- Acqui 2006