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Nonwoven Fabrics
319,29 € *
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Erscheinungsdatum: 12/2002, Medium: Buch, Einband: Gebunden, Titel: Nonwoven Fabrics, Titelzusatz: Raw Materials, Manufacture, Applications, Characteristics, Redaktion: Albrecht, Wilhelm // Fuchs, Hilmar // Kittelbaum, Walter, Verlag: Wiley VCH Verlag GmbH // Wiley-VCH, Sprache: Englisch, Schlagworte: Chemie // Technik // Werkstoffe // Berufe // Industrie // Chemische Industrie // Arbeitsstoff // Material // Werkstoff // SCIENCE // Chemistry // Industrial & Technical // TECHNOLOGY & ENGINEERING // Textiles & Polymers // Industrielle Chemie und Chemietechnologie, Rubrik: Chemische Technik, Seiten: 750, Abbildungen: 550 Abb., Gewicht: 1373 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 15.07.2020
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Porous Materials for Carbon Dioxide Capture
110,39 € *
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Erscheinungsdatum: 30.04.2014, Medium: Buch, Einband: Gebunden, Titel: Porous Materials for Carbon Dioxide Capture, Auflage: 2014, Redaktion: Lu, An-Hui // Dai, Sheng, Verlag: Springer-Verlag GmbH // Springer Berlin, Sprache: Englisch, Schlagworte: Katalyse // Katalysator // Biokatalyse // Biokatalysator // Nanotechnologie // Technologie // Polymere // Polymerisation // Chemie // organisch // Organische Chemie // physikalisch // Physik // Physikalische Chemie // Klima // Meteorologie // Witterung // Energie // Erneuerbare Energie // Energiewirtschaft // Regenerative Energie // Erde // Planet // Geowissenschaft // SCIENCE // Chemistry // Industrial & Technical // Energy // Earth Sciences // Meteorology & Climatology // TECHNOLOGY & ENGINEERING // Nanotechnology & MEMS // Textiles & Polymers // Meteorologie und Klimatologie // Klimaforschung // Alternative und erneuerbare Energiequellen und // technik, Rubrik: Wärme- // Energie-, Kraftwerktechnik, Seiten: 245, Abbildungen: 88 schwarz-weiße und 68 farbige Abbildungen, Bibliographie, Herkunft: NIEDERLANDE (NL), Reihe: Green Chemistry and Sustainable Technology, Gewicht: 525 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 15.07.2020
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The Real Work of Data Science
48,90 CHF *
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The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
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Analytical Techniques in Materials Conservation
240,00 CHF *
ggf. zzgl. Versand

The use of scientific techniques in materials conservation has expanded considerably in recent decades and there is a great deal of interest in identifying the materials used in culturally important objects. Of importance is a clear understanding of the state and mechanisms of degradation of objects. Of importance is a clear understanding of the state and mechanisms of degradation of objects susceptible to deterioration with time and exposure to environmental factors. In addition, awareness of the state of materials at a molecular level can provide valuable information for conservators, enabling them to decide on a conservation procedure. This book presents the extensive range of analytical techniques used by scientists that may be applied to heritage materials such as paintings, metals, sculptures, written material, natural materials, synthetic polymers, textiles, tone, ceramics and glass. An introductory chapter describes the types and chemistry of materials encountered in conservation. Chapters 2 to 10 provide a straightforward background to each of the common analytical techniques: * Basic identification techniques * Light examination and microscopy * Molecular spectroscopy * Atomic spectroscopy * X-ray techniques * Mass spectrometry * Chromatography and electrophoresis * Thermal and mechanical analysis * Nuclear methods An explanation of how an instrument works is provided without the excessive technical detail that can be overwhelming for the first-time user. The nature and size of a sample required for each technique is given as this is an important consideration in conservation. Additionally, for each technique, examples of the application of the method to specific types of heritage materials are provided, with the relevant literature references. This book will be a useful source of information for those with an interest in materials conservation. While it should prove an aid to those already working in this field, the book is also aimed at those entering the field who would like to know more about the analysis of heritage materials. An in-depth knowledge of chemistry, materials science or analytical chemistry is no assumed, so those without a strong background in these fields will be able to understand the scientific concepts presented.

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
Zum Angebot
The Real Work of Data Science
30,00 CHF *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
Zum Angebot
The Real Work of Data Science
31,00 CHF *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
Zum Angebot
Fabric Reference: Pearson New International Edi...
43,90 CHF *
ggf. zzgl. Versand

For introductory courses in Textiles, courses in Fashion Design/Production, Fashion Merchandising, Visual Merchandising, Interior Design, and Costume Studies. Fabric Reference is a guide for anyone who needs accessible information on today's fabrics-how they behave and why. Designed as a companion book to the this book presents a complete and up-to-date source of the highly technical basics of textile science, from fibers to finished fabrics. Specially prepared graphics, illustrations, comparison tables, and flow charts make the process of creating modern fabrics clear to both students and instructors. This edition features more on nanotechnology, industrial textiles and other smart textiles and covers practical applications such as care, assessment and ecology. Buy both together and save!

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
Zum Angebot
Analytical Techniques in Materials Conservation
221,99 € *
ggf. zzgl. Versand

The use of scientific techniques in materials conservation has expanded considerably in recent decades and there is a great deal of interest in identifying the materials used in culturally important objects. Of importance is a clear understanding of the state and mechanisms of degradation of objects. Of importance is a clear understanding of the state and mechanisms of degradation of objects susceptible to deterioration with time and exposure to environmental factors. In addition, awareness of the state of materials at a molecular level can provide valuable information for conservators, enabling them to decide on a conservation procedure. This book presents the extensive range of analytical techniques used by scientists that may be applied to heritage materials such as paintings, metals, sculptures, written material, natural materials, synthetic polymers, textiles, tone, ceramics and glass. An introductory chapter describes the types and chemistry of materials encountered in conservation. Chapters 2 to 10 provide a straightforward background to each of the common analytical techniques: * Basic identification techniques * Light examination and microscopy * Molecular spectroscopy * Atomic spectroscopy * X-ray techniques * Mass spectrometry * Chromatography and electrophoresis * Thermal and mechanical analysis * Nuclear methods An explanation of how an instrument works is provided without the excessive technical detail that can be overwhelming for the first-time user. The nature and size of a sample required for each technique is given as this is an important consideration in conservation. Additionally, for each technique, examples of the application of the method to specific types of heritage materials are provided, with the relevant literature references. This book will be a useful source of information for those with an interest in materials conservation. While it should prove an aid to those already working in this field, the book is also aimed at those entering the field who would like to know more about the analysis of heritage materials. An in-depth knowledge of chemistry, materials science or analytical chemistry is no assumed, so those without a strong background in these fields will be able to understand the scientific concepts presented.

Anbieter: Thalia AT
Stand: 15.07.2020
Zum Angebot
The Real Work of Data Science
39,99 € *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Thalia AT
Stand: 15.07.2020
Zum Angebot