Data Structures Using C

Introduces the many and powerful data structures for representing information physically (in contrast to a database management system that represents information with logical structures). Covers speci

This book examines in detail the process of change in 240 city, county and state public bureaucracies responsible for local finance administration. Using the longitudinal method of analysis, the data show organizational structures to be much less stable than conventional stereotypes have suggested. Variables such as organizational leadership, claims to domain, and survival (as opposed to replacement or reorganization) were found to mediate environmental effects on bureaucracies. The book also discusses traditional theories of bureaucracy, theories emphasizing the importance of environment for organizational theory is possible. The concluding chapter draws extensive theoretical implications from the empirical findings of the study.

為【劍橋英語教學大師口袋書系列】書籍，內容以「如何有效運用AI提升語言教學」為主軸，提供教學實務上的運用指南與建議，可做為英語教師師培課程用書或課程設計參考書。In this user-friendly book, Nicky Hockly draws on research and her own experience to examine the benefits and challenges of using AI in language teaching. The book provides a range of guidance on good practices in using the technology, with simple tips for applying the learning. It explores some of the key ethical, moral, philosophical and legal questions around using AI and covers topics including accessibility, data ownership and concerns around students cheating. The book also includes support for using AI to help teachers and learners develop. Nicky Hockly's 30 Essentials for Using Artificial Intelligence is an essential guide for teachers of all levels of experience.

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

Properties of Composite Structures: Theory, Applications and Software covers the theoretical knowledge associated with damage development in composites and helps the reader to understand the basic pri

A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual a

Designed as a textbook for a one or two-term introduction to mathematical statistics for students training to become data scientists, Foundations of Statistics for Data Scientists: With R and Python is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modelling. The book assumes knowledge of basic calculus, so the presentation can focus on 'why it works' as well as 'how to do it.' Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.The book also introduces modern topics that do not normally appear in mathematical statistics texts but ar

There has been a longstanding bias in the study of spoken language towards using writing to analyse speech. This approach is problematic in that it assumes language to be derived from an autonomous mental capacity to assemble words into sentences, while failing to acknowledge culture-specific ideas linked to writing. Words and sentences are writing constructs that hardly capture the sound-making actions involved in spoken language. This book brings to light research that has long revealed structures present in all languages but which do not match the writing-induced concepts of traditional linguistic analysis. It demonstrates that language processes are not physiologically autonomous, and that speech structures are structures of spoken language. It then illustrates how speech acts can be studied using instrumental records, and how multisensory experiences in semantic memory couple to these acts, offering a biologically-grounded understanding of how spoken language conveys meaning and w

How might evidence of language use – writing and speech – be used as a way of studying language? Corpus linguistics is the study of linguistic data from a particular language or set of languages. It is a fast-moving approach to studying language, and there is still a degree of divergence in how research questions are approached using corpus data. This book uses a framework, based on the work of Karl Popper, to explore a number of fundamental issues in corpus linguistics. It critically evaluates how these issues are tackled, and proposes a set of best practices for future research. It spells out why using corpus data is valuable, what we can learn from using it, and how we may most effectively progress our understanding of language by using such data. It is essential reading for researchers and students of language in general, and of applied linguistics and English language in particular.

Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data-moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered.Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewards

Recent observational results from space- and ground-based telescopes have demonstrated that a unified approach to the relationships between solar and stellar magnetism is necessary to advance our understanding of magnetic fields. The Proceedings of IAU Symposium 354 present recent results and discussions of emerging topics, including: magnetic field diagnostics using high-resolution observation; initial data from ALMA, Chinese Radio Spectroheliograph and other instruments; the detection of stellar magnetospheres; and the detailed mapping of magnetic fields on the surface of stars using new unique instrumentation. These observations stimulate comparisons of solar and stellar results, and improve our understanding of how surface magnetic structures and their evolution are related to the generation of magnetic fields by dynamos in solar and stellar interiors. This volume benefits graduate students and researchers interested in the recent advances and key problems of solar and stellar magn

This book, first published in 1988, reassesses the data on Church – accountant, manager and industrial engineer – and stresses the theoretical impact of his ideas upon contemporary business structures

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.

In this book, Gabriel Zuchtriegel explores and reconstructs the unwritten history of Classical Greece - the experience of nonelite colonial populations. Using postcolonial critical methods to analyze Greek settlements and their hinterlands of the fifth and fourth centuries BC, he reconstructs the social and economic structures in which exploitation, violence, and subjugation were implicit. He mines literary sources and inscriptions, as well as archaeological and data from excavations and field surveys, much of it published here for the first time, that offer new insights into the lives and status of nonelite populations in Greek colonies. Zuchtriegel demonstrates that Greece's colonial experience has far-reaching implications beyond the study of archaeology and ancient history. As reflected in foundational texts such as Plato's 'Laws' and Aristotle's 'Politics', the ideology that sustained Greek colonialism is still felt in many Western societies.

Le Corbusier is a Modernist icon whose buildings and theories have influenced structures the world over. Now you can create ten of his most important works using the art of kirigami (cutting and foldi

Carlos Bunga's sculptural and painterly structures propose architecture as body and mindscape. Using only cardboard and paint, Bunga creates fantastical buildings, furniture-like sculptures and painti

'Abd al-Rahman b. 'Amr al-Awza'i (c.707-774) was Umayyad Syria's most influential jurist, part of a generation of scholars who began establishing the first formal structures for the preservation and d

Uneven Urbanscape takes a new theoretically grounded view of how society produces and reproduces ethnoracial economic inequality. Drawing on empirically rich documentation and quantitative analysis utilizing multiple data sources, including the US Bureau of the Census, Ong and Gonzalez assess the patterns, causes, and consequences of urban spatial disparities, specifically in home ownership, employment, and education. They focus on the global city of Los Angeles in order to examine outcomes across small geographic units that approximate neighborhoods and places, and to analyze the location-specific effects of geographic access and isolation within the region. Using a mix of micro-level data and aggregated statistics, Uneven Urbanscape provides one of the most comprehensive understandings of urban ethnoracial disparities and inequalities from 1960 to the present day.

Uneven Urbanscape takes a new theoretically grounded view of how society produces and reproduces ethnoracial economic inequality. Drawing on empirically rich documentation and quantitative analysis utilizing multiple data sources, including the US Bureau of the Census, Ong and Gonzalez assess the patterns, causes, and consequences of urban spatial disparities, specifically in home ownership, employment, and education. They focus on the global city of Los Angeles in order to examine outcomes across small geographic units that approximate neighborhoods and places, and to analyze the location-specific effects of geographic access and isolation within the region. Using a mix of micro-level data and aggregated statistics, Uneven Urbanscape provides one of the most comprehensive understandings of urban ethnoracial disparities and inequalities from 1960 to the present day.

A thought-provoking examination of beauty using three works of art by Manet, Gauguin, and Cézanne. As the discipline of art history has moved away from connoisseurship, the notion of beauty has

The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective methods for their analysis. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straightforward task because of the size of the data sets and the computer power required for the analysis. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this text provides an ideal introduction to and insight into the interdisciplinary field of network da

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation su

AN ESSENTIAL GUIDE TO USING BLOCKCHAIN TO PROVIDE FLEXIBILITY, COST-SAVINGS, AND SECURITY TO DATA MANAGEMENT, DATA ANALYSIS, AND INFORMATION SHARINGBlockchain for Distributed Systems Security con

Leverage Xamarin.Forms to build iOS and Android apps using a single, cross-platform approach. This book is the XAML companion to the C# guide Xamarin Mobile Application Development. You'll begin

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud comput

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Py

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use i

Help students learn text structures with these charmingly illustrated anchor charts. Set includes the five major text structures: Description, Cause & Effect, Compare & Contrast, Problem &

Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.Log-linear models play a key role in modern big data and

This highly practical resource brings new dimensions to the utility of qualitative data in health research by focusing on naturally occurring data. It examines how naturally occurring data complement

Cathodic protection of reinforced concrete structures is a technique for rescuing corrosion damaged structures or preventing corrosion. Specialist contractors, large consultants and owners of corrosio

This book presents lecture materials from the Third LOFAR Data School, transformed into a coherent and complete reference book describing the LOFAR design, along with descriptions of primary science c

Create and decorate your very own gingerbread structures using these plans, patterns, and ideas for cookie-construction year-round. Quick projects like The Monsters’ Picnic and charming period pieces

Presents the latest strategies in the development and use of composite materials for large structures and the effects of defectsPractical Design and Validation of Composites Structures: Effects of Def

This book enables the student to master the methods of analysis of isostatic and hyperstatic structures. To show the performance of the methods of analysis of the hyperstatic structures, some beams, g

Advanced Design Examples of Seismic Retrofit of Structures provides insights on the problems associated with the seismic retrofitting of existing structures. The authors present various international

Our increasing reliance on technology and the Internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about w

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-le