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Sustainable Construction
It has taken a very long time for sustainable development to be recognised as a justified restraint on inappropriate development and a primary driver of improving quality of life for all. For designers, clients and project managers this means we have to create healthy buildings and places which support communities, enhance biodiversity and contribute to reversing unsustainable trends in pollution and resource consumption. It is a very positive agenda. This groundbreaking book will help all building design, management and cost professionals to understand sustainable design and provide the technical skills needed to implement the most up-to-date concepts. Based on a hugely successful series of...
Constructing Professional Discourse
This book explores the fascinating role that language plays in the construction of non-verbal objects by mapping out the ontological meaning of the specialised concepts and the domain-specific knowledge embedded in them. In doing so, it provides a comprehensive linguistic insight into the discourse of professional domain-specific communities and hence, into the communication practices and procedures of those communities. In this respect, the book offers a response to the claims made by many of the most influential applied linguists today, such as Vijay Bhatia (1993, 2004), John Swales (1990, 2004) or Ken Hyland (2002), among others, who have consistently defended the need for applied linguis...
Energy: Management, Supply and Conservation
With more and more concern being expressed over the Earth's dwindling energy resources as well as rising pollution levels, the subject of energy management and conservation is becoming increasingly important. Over half of all energy consumed is used in buildings so effective management of buildings whether commercial or domestic is vital. This book is a comprehensive text dealing with the theory and practice of the supply of energy to consumers, energy management and auditing and energy saving technology. It will be a core text on courses on energy management and building services, as well as updating professionals in the building sector.
Introduction to Data Science
Unlike the first edition, the new edition has been split into two books. Thoroughly revised and updated, this is the first book of the second edition of Introduction to Data Science: Data Wrangling and Visualization with R. It introduces skills that can help you tackle real-world data analysis challenges. These include R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation with Quarto and knitr. The new edition includes additional material/chapters on data.table, locales, and accessing data through APIs. The book is divided into four parts: R, Data Visualiza...
Solving the Brain Puzzle
Receiving a diagnosis of multiple sclerosis (MS), Alzheimer’s disease, Parkinson’s disease, or some other brain-related illness is devastating. It feels like life, as you know it, is over, and you are powerless to do anything about it. Your future may seem like nothing but a long black tunnel of decreasing cognitive function, declining mobility, depression, and premature death. Even your physician may share this gloomy view. The good news is, you have more control over your brain health than you think! With the exception of cancer, many brain illnesses can be reversed through a combination of diet, exercise, supplements, proper sleep, avoiding and removing toxins from the body, and takin...
Inflammatory Disorders of the Nervous System
This thoroughly updated edition covers all clinical aspects of neuroinflammation. The latest developments in pathogenesis and advances in treatment are provided, along with an understanding of the immune system's role and interactions between the activated immune cells, cerebral endothelial cells, and other main components of the immune cascade. Cutting-edge and authoritative, this volume offers practitioners a valuable resource for research and clinical practice.
Data Science
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for l...
Spatial Statistics for Data Science
Describes R packages for retrieval, manipulation, and visualization of spatial data Offers a comprehensive overview of spatial statistical methods including spatial autocorrelation, clustering, spatial interpolation, model-based geostatistics, and spatial point processes Provides detailed explanations on how to fit and interpret Bayesian spatial models using the integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches
Introduction to Classifier Performance Analysis with R
Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA). Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including ...
