Data Handling For Science And Technology
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Data Handling For Science And Technology
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Author : Stephen Rossmassler
language : en
Publisher:
Release Date :
Data Handling For Science And Technology written by Stephen Rossmassler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Information storage and retrieval systems categories.
Secure Data Handling In Science And Technology
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Author : Rafeal Mechlore
language : en
Publisher:
Release Date : 2023-11-04
Secure Data Handling In Science And Technology written by Rafeal Mechlore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-04 with categories.
In today's digital age, the proper administration and safeguarding of data have assumed a position of utmost importance, particularly in the sectors of research and technology, where new ideas and information are the driving forces behind advancement. The book "Secure Data Handling in Science and Technology" is a thorough guide that digs into the essential importance of data security and gives a roadmap for securing sensitive information in these disciplines. Its title comes from the combination of the two words "secure data handling," which refers to the handling of data in scientific and technological fields. The growth of modern science and technology is impossible without the use of data in some capacity. Research is fueled by it, innovation is driven by it, and decision-making processes are supported by it. On the other hand, the data that drives innovation is also vulnerable to a variety of dangers, such as cyberattacks, breaches caused by insiders, and violations of privacy rights. This book provides a comprehensive investigation into the complex landscape of data security as it relates to the fields of science and technology. The first part of the book lays a solid groundwork by introducing the concept of data security and describing the shifting nature of the threat landscape. It emphasizes the significance of discriminating between sensitive, confidential, and personal data and elaborates on the cybersecurity threats that every scientist, technologist, and everyone who handles data must be aware of. In addition to this, it offers a summary of data security principles as well as best practices, which work as cornerstones throughout the rest of the book. The ever-shifting legal and regulatory landscape pertaining to data privacy is one of the most important topics that are covered in this book. It analyzes worldwide data privacy frameworks such as GDPR, CCPA, and HIPAA, and demonstrates the impact that these frameworks have on the way data is handled in businesses. The reader gains a better knowledge of the ramifications of non-compliance by reading case studies of data privacy infractions. After that, the book delves into the meat and potatoes of secure data handling, which covers the entirety of the data lifecycle. It provides insights into establishing solutions that are both practical and robust, covering everything from the security of data collection and storage to the security of data transmission and communication. Important issues including user identification, role-based access control, and secure data processing and analysis are addressed by it.
Data Handling For Science And Technology
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Author : CODATA.
language : en
Publisher: Amsterdam ; New York : Published by North-Holland Publishing Company for Committee on Data for Science and Technology and United Nations Educational, Scientific and Cultural Organization ; New York : sole distributors for the U.S.A. and Canada, Elsevier-North Holland
Release Date : 1980
Data Handling For Science And Technology written by CODATA. and has been published by Amsterdam ; New York : Published by North-Holland Publishing Company for Committee on Data for Science and Technology and United Nations Educational, Scientific and Cultural Organization ; New York : sole distributors for the U.S.A. and Canada, Elsevier-North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Computers categories.
Data generation; Treatment of data in the biosciences; Treatment of observational data in the geosciences: estimation and approximation of data; Analysis and interpretation of data; Presentation of data in the primary literature; Access to data in the primary literature; Compilation and evaluation of data; Standards and guidelines for data; Use of computers in handling of laboratory data; Accessibility and dissemination of data.
Data Fusion Methodology And Applications
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Author : Marina Cocchi
language : en
Publisher: Elsevier
Release Date : 2019-05-11
Data Fusion Methodology And Applications written by Marina Cocchi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-11 with Science categories.
Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected application to the topics included
Experimental Design
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Author : S.N. Deming
language : en
Publisher: Elsevier
Release Date : 1987-01-01
Experimental Design written by S.N. Deming and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987-01-01 with Science categories.
Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented. The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.
Hyperspectral Imaging
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Author :
language : en
Publisher: Elsevier
Release Date : 2019-09-29
Hyperspectral Imaging written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-29 with Science categories.
Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed Covers state-of-the-art applications in different scientific fields Discusses the implementation of hyperspectral devices in different environments
Multivariate Resolution In Chemistry Data Handling In Science And Technology
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Author : Elsevier
language : en
Publisher:
Release Date : 2005-04
Multivariate Resolution In Chemistry Data Handling In Science And Technology written by Elsevier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04 with categories.
Practical Data Analysis In Chemistry
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Author : Marcel Maeder
language : en
Publisher: Elsevier
Release Date : 2007-08-10
Practical Data Analysis In Chemistry written by Marcel Maeder and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-10 with Science categories.
The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses. * Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes. * Provides examples of routines that are easily adapted to the processes investigated by the reader * 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
Statistical Design Chemometrics
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Author : Roy E Bruns
language : en
Publisher: Elsevier
Release Date : 2006-01-27
Statistical Design Chemometrics written by Roy E Bruns and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-27 with Science categories.
Statistical Design-Chemometrics is applicable to researchers and professionals who wish to perform experiments in chemometrics and carry out analysis of the data in the most efficient way possible. The language is clear, direct and oriented towards real applications. The book provides 106 exercises with answers to accompany the study of theoretical principles. Forty two cases studies with real data are presented showing designs and the complete statistical analyses for problems in the areas chromatography, electroanalytical and electrochemistry, calibration, polymers, gas adsorption, semiconductors, food technology, biotechnology, photochemistry, catalysis, detergents and ceramics. These studies serve as a guide that the reader can use to perform correct data analyses. -Provides 42 case studies containing step-by-step descriptions of calculational procedures that can be applied to most real optimization problems -Contains 106 theoretical exercises to test individual learning and to provide classroom exercises and material for written tests and exams -Written in a language that facilitates learning for physical and biological scientists and engineers -Takes a practical approach for those involved in industrial optimization problems
Data Analysis And Signal Processing In Chromatography
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Author : A. Felinger
language : en
Publisher: Elsevier
Release Date : 1998-05-19
Data Analysis And Signal Processing In Chromatography written by A. Felinger and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-05-19 with Science categories.
This book gives an overview of the numerical data analysis and signal treatment techniques that are used in chromatography and related separation techniques. Emphasis is given to the description of the symmetrical and asymmetrical chromatographic peak shape models. Both theoretical and empirical models are discussed. The fundamentals of data acquisition, types and effect of baseline noise, and methods of improving the signal-to-noise ratio (either in time or in frequency and wavelet domain) are thoroughly discussed. Resolution enhancement techniques, such as curve fitting, deconvolution by Fourier and wavelet transforms, iterative deconvolution, Kalman filtering and multivariate methods of curve resolution are all discussed with several chromatographic examples. Quantitative analysis by peak area of peak height measurement, the precision and accuracy of the quantitation of stand-alone or overlapping and symmetrical or asymmetrical peaks are treated. In a separate chapter, guidelines are given for the use of transform techniques for the analysis of chromatograms. A statistical description of peak overlap is given in the final chapters. Since the concept of resolution has to be reconsidered when one separates complex mixtures, the problem of resolution and overlap is quantitatively discussed by means of statistical methods, and by using Fourier analysis of the complex chromatogram. Features of this book • The ultimate source of numerical techniques to enhance chromatographic data • Gives a detailed description of signal and resolution enhancement techniques in a manner applicable for enhancing not only chromatography, but also spectroscopic and other analytical signals • The first book with a thorough overview of the statistics of peak overlap. This is the first volume to encompass both the simple and more sophisticated methods for the numerical treatment of chromatograms. It is, therefore, the fundamental resource of numerical analysis methods for every analyst.