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Practical Guide to ICP-MS and Other Atomic Spectroscopy Techniques A Tutorial for Beginners

Practical Guide to ICP-MS and Other Atomic Spectroscopy Techniques A Tutorial for Beginners

Written by one of the very first practitioners of ICP-MS Practical Guide to ICP-MS and Other Atomic Spectroscopy Techniques: A Tutorial for Beginners presents ICP-MS in a completely novel and refreshing way. By comparing it with other complementary atomic spectroscopy (AS) techniques it gives the trace element analysis user community a glimpse into why the technique was first developed and how the application landscape has defined its use today 40 years after it was first commercialized in 1983. What’s new in the 4th edition: Updated chapters on the fundamental principles and applications of ICP-MS New chapters on complementary AS techniques including AA AF ICP-OES MIP-AES XRF XRD LIBS LALI-TOFMS Strategies for reducing errors and contamination with plasma spectrochemical techniques Comparison of collision and reaction cells including triple/multi quad systems Novel approaches to sample digestion Alternative sample introduction accessories Comprehensive glossary of terms used in AS New vendor contact information The book is not only suited to novices and beginners but also to more experienced analytical scientists who want to know more about recent ICP-MS developments and where the technique might be heading in the future. Furthermore it offers much needed guidance on how best to evaluate commercial AS instrumentation and what might be the best technique based on your lab’s specific application demands. I feel honored to have been asked to deliver the Foreword for this book which is suited not only for beginners but also for more experienced analytical scientists who want to know the advances in plasma spectrochemistry instrumentation and related future opportunities. Dr. Heidi Goenaga Infante LGC Science Fellow; Chief Scientist National Measurement Laboratory Visiting Professor University of Strathclyde UK. | Practical Guide to ICP-MS and Other Atomic Spectroscopy Techniques A Tutorial for Beginners

GBP 120.00
1

Ergonomics for Beginners A Quick Reference Guide Third Edition

Ergonomics for Beginners A Quick Reference Guide Third Edition

Loaded with information on the design of work systems workplaces and workstations as well as human anthropometics Ergonomics for Beginners: A Quick Reference Guide Third Edition provides a useful quick reference and valuable tool for novices and experienced professionals alike. Retaining the features that made each previous edition a bestseller the authors have meticulously revised the information to address rapid developments in information and communications technology offering ergonomics advice on topics such as wireless remote and hands-free controls website design mobile interaction and virtual offices. Understand the Utility and Limitations of Modern Technology In their trademark eloquent style the authors explain the application of a human-centered approach to the design testing and evaluation of work systems by considering the interrelated set of physical cognitive social organizational and other relevant human factors. Their elemental but comprehensive treatment of the subject matter provides an authoritative and archival reference of basic theoretical and practical knowledge that will help enhance human performance and reduce the undesirable effects and unintended consequences of many human interactions with technology and the organizational environment. Small enough to carry along to work sites with simple and clear illustrations the book examines how to improve performance and reduce the undesirable effects and unintended consequences of many human interactions with technology and the work environment. | Ergonomics for Beginners A Quick Reference Guide Third Edition

GBP 175.00
1

Electronic Circuit Analysis using LTSpice XVII Simulator A Practical Guide for Beginners

The Little Adsorption Book A Practical Guide for Engineers and Scientists

The Big Book of Drones

Structural Engineer's Pocket Book: Eurocodes

Concise Textbook of Equine Clinical Practice Book 1 Lameness

Dark World A Book on the Deep Dark Web

The Pocket Mentor for Video Game Writers

Continua With the Houston Problem Book

Computational Statistical Methodologies and Modeling for Artificial Intelligence

Computational Statistical Methodologies and Modeling for Artificial Intelligence

This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers academicians postgraduate students and specialists in the areas of data science mathematical modelling and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical computer and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence | Computational Statistical Methodologies and Modeling for Artificial Intelligence

GBP 140.00
1

Structural Engineer's Pocket Book British Standards Edition

The EIS Book Managing and Preparing Environmental Impact Statements

The EIS Book Managing and Preparing Environmental Impact Statements

Poor Environmental Impact Statement (EIS) practice leads to poorly planned projects and ultimately poor environmental protection. Written by recognized NEPA authority Charles H. Eccleston The EIS Book: Managing and Preparing Environmental Impact Statements supplies focused direction on preparing an EIS highlighting best professional practices (BBP) and lessons learned from case law that provide valuable direction for preparing legally defensible documents. The book is not about preparing bigger or more complicated EISs—but better ones. Beginning with fundamental topics and advancing into successively more advanced subjects Eccleston describes EIS preparation as a comprehensive framework for planning future actions rather than merely a document preparation procedure. He supplies direction for preparing defensible analyses that facilitate well-planned projects and improved decision-making. Discusses EIS document requirements including the Council of Environmental Quality’s NEPA regulations and related guidelines EPA guidance and requirements presidential executive orders and case law Covers how to perform a legally sufficient cumulative impact assessment and how to evaluate greenhouse emissions and climate change Details a step-by-step approach for navigating the entire EIS process that includes all pertinent process requirements from issuing the notice of intent through public scoping to issuing the final record of decision (ROD) Includes analytical requirements for preparing the EIS analysis and guidance for performing various types of analyses Provides tools techniques and best professional practices for preparing the EIS and performing the analysis Presents a case study that reinforces key EIS regulatory requirements and integrates lessons learned from this case study with appropriate regulatory requirements The book gives readers a firm grasp of the process for preparing an EIS including all key regulatory requirements that a legally sufficient EIS document must satisfy. No other book synthesizes all such requirements and guidance into a single source for easy and rapid access. | The EIS Book Managing and Preparing Environmental Impact Statements

GBP 77.99
1

Hands on Data Science for Biologists Using Python

Hands on Data Science for Biologists Using Python

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive problem-based instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling preprocessing and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples. Features of this book: The book contains standard templates for data analysis using Python suitable for beginners as well as advanced learners. This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases. Considering the importance of visualization for data interpretation especially in biological systems there is a dedicated chapter for the ease of data visualization and plotting. Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems. Other avant-garde component of the book is the inclusion of a machine learning project wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis as well as a platter of standard code templates for building models. | Hands on Data Science for Biologists Using Python

GBP 69.99
1

Concise Textbook of Equine Clinical Practice Book 2 Reproduction and the Foal

Deep Learning for Remote Sensing Images with Open Source Software

Deep Learning for Remote Sensing Images with Open Source Software

In today’s world deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing including landcover mapping forestry urban studies disaster mapping image restoration etc. Written with practitioners and students in mind this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public free available data (Spot-7 and Sentinel-2 images OpenStreetMap vector data) using open source software (QGIS Orfeo ToolBox TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world mainly for landcover mapping but also for generic approaches (e. g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

GBP 31.99
1

Microstrip Antenna Design for Wireless Applications

Microstrip Antenna Design for Wireless Applications

This book focuses on recent advances in the field of microstrip antenna design and its applications in various fields including space communication mobile communication wireless communication medical implants and wearable applications. Scholars as well as researchers and those in the electronics/ electrical/ instrumentation engineering fields will benefit from this book. The book shall provides the necessary literature and techniques using which to assist students and researchers would design antennas for the above- mentioned applications and will ultimately enable users to take measurements in different environments. It is intended to help scholars and researchers in their studies by enhancing their the knowledge and skills in on the latest applications of microstrip antennas in the world of communications such as world like IoT D2D satellites and wearable devices to name a few. FEATURES Addresses the complete functional framework workflow in printed antenna design systems Explores the basic and high-level concepts including advanced aspects in planer design issues thus serving as a manual for those in the the industry while also assisting beginners Provides the latest techniques used for antennas in terms of structure defected ground MIMO and fractal designs Discusses case studies related to data-intensive technologies in microchip antennas in terms of the most recent applications and similar uses for the Internet of Things and device-to-device communication | Microstrip Antenna Design for Wireless Applications

GBP 115.00
1

Fundamentals of Combustion Engineering

Artificial Intelligence (AI) Recent Trends and Applications

Optimization for Energy Systems and Supply Chains Fundamentals and Applications

Optimization for Energy Systems and Supply Chains Fundamentals and Applications

To curb the impacts of rising CO2 emissions the Intergovernmental Panel on Climate Change report states that a net zero target needs to be achieved by the year 2055. Experts argue that this is a critical time to make important and accurate decisions. Thus it is essential to have the right tools to efficiently plan and deploy future energy systems and supply chains. Mathematical models can provide decision-makers with the tools required to make well-informed decisions relating to development of energy systems and supply chains. This book provides an understanding of the various available energy systems the basics behind mathematical models the steps required to develop mathematical models and examples/case studies where such models are applied. Divided into two parts one covering basics for beginners and the other featuring contributed chapters offering illustrative examples this book: Shows how mathematical models are applied to solve problems in energy systems and supply chains Provides fundamentals of the working principles of various energy systems and their technologies Offers basics of how to formulate and best practices for developing mathematical models topics not covered in other titles Features a wide range of case studies Teaches readers to develop their own mathematical models to make decisions on energy systems This book is aimed at chemical process mechanical and energy engineers. | Optimization for Energy Systems and Supply Chains Fundamentals and Applications

GBP 180.00
1

Arduino-Based Embedded Systems Interfacing Simulation and LabVIEW GUI