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This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Principles of Bone Biology is the essential resource for anyone involved in the study of bones. It is the most comprehensive, complete, up-to-date source of information on all aspects of bones and bone biology in one convenient source. Written and published in less than one year, it will become an indispensable resource for any scientific or medical library. This, second edition, details countless advances over the past five years, both by updating old chapters and providing additional material. It takes the reader from the basic elements of fundamental research to the most sophisticated concepts in therapeutics. The most current and timely source of information about the biology and pathology of boneProvides succinct coverage of the subjectContributors include over 200 of the most respected researchers in the fieldExtensive table of contents and index for easy referenceEasy-to-read and highly informative to both the newcomer and the initiated to the field Spans the spectrum from molecular biology to in vivo pharmacologyComplete bibliography with each entry fully referenced for additional background reading First edition was selected by Doody Publishing as one of the 250 Best Health Science books published in 1996

To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.

With increasing rates of pollution to both land and aquatic environments, regulations for the quality of our waters are necessarily becoming more stringent. In the light of recent epidemiological studies new criteria are being established for the safety of our recreational waters. In order for such criteria to be developed an established statistical framework needs to be in place. Statistical Framework for Recreational Water Quality Criteria and Monitoring offers a practical guide to the statistical methods used for assessing health effects and monitoring and modelling water quality Both traditional and novel sampling designs are discussed. Written by a team of international experts in the field, this book sets out to provide an essential structure for the monitoring of water quality. · Proposes a much-needed framework for the monitoring of water quality, and provides practical guidance on the statistical methods involved. · Covers risk characterization, empirical modelling, sensitivity analysis and measures of robustness. · Details sampling methods and quality control approaches. · Presents crucial, real-life results from recent large-scale studies of water quality, central to the development of the area. · Accompanied by a supplementary website hosting data sets and tools for data analysis. The book is primarily aimed at public health officials, staff of regulatory bodies and students and faculty members of environmental and statistical science courses. There is also much to benefit readers from environmental research and risk analysis.

Exploring Nanosyntax provides the first in-depth introduction to the framework of nanosyntax, which originated in the early 2000s as a formal theory of language within Principles and Parameters framework. Deploying a radical implementation of the cartographic "one feature - one head" maxim, the framework provides a fine-grained decomposition of morphosyntactic structure, laying bare the building blocks of the universal functional sequence. This volume makes three contributions: First, it presents the framework's constitutive tools and principles, and explains how nanosyntax relates to cartography and to Distributed Morphology. Second, it illustrates how nanosyntactic tools and principles can be applied to a range of empirical domains of natural language. In doing so, the volume provides a range of detailed crosslinguistic investigations which uncover novel empirical data and which contribute to a better understanding of the functional sequence. Third, specific problems are raised and discussed and new theoretical strands internal to the nanosyntactic framework are explored. Bringing together original contributions by senior and junior researchers in the field, Exploring Nanosyntax offers the first all-encompassing view of this promising framework, making its methodology and exciting results accessible to a wide audience.