Introduction to Python Programming And Data Structure By Liang

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exerc

This book covers the origin and chemical structure of sedimentary organic matter, how that structure relates to appropriate chemical reaction models, how to obtain reaction data uncontaminated by heat

The inner core is a planet within a planet: a hot sphere with a mass of one hundred quintillion tons of iron and nickel that lies more than 5000 kilometres beneath our feet. It plays a crucial role in driving outer core fluid motion and the geodynamo, which generates the Earth's magnetic field. This book is the first to provide a comprehensive review of past and contemporary research on the Earth's inner core from a seismological perspective. Chapters cover the collection, processing and interpretation of seismological data, as well as our current knowledge of the structure, anisotropy, attenuation, rotational dynamics, and boundary of the inner core. Reviewing the latest research and suggesting new seismological techniques and future avenues, it is an essential resource for both seismologists and non-seismologists interested in this fascinating field of research. It will also form a useful resource for courses in seismology and deep Earth processes.

Presents an introduction to ancient India, covering such topics as religion, the military, cuisine, social structure, and everyday life, with instructions for fifteen handicraft projects for recreatin

Scientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology, evolution, anthropology, palaeontology and related fields give valuable insights into the application of the described techniques, while complete example macros and useful procedures demonstrate the methods in action and provide starting points for readers to use or modify in their ow

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.

Introduction to AccuMark, Pattern Design, and Product Data Management provides step-by-step instructions to Gerber Technology's in-demand software programs. AccuMark, used to copy patterns into the co

Based on a wide array of data collected by the author, this book uses clear theoretically motivated economic analysis to explain the structure, performance, and influence of universal banks and securities markets on firms during industrialisation. The German universal banks played a significant but not overwhelming role in the ownership and control of corporate firms. Banks gained access to boards via a confluence of their underwriting and brokerage activities, the legal phenomena of bearer shares and deposited voting rights, and the flourishing securities markets of the turn of the twentieth century. In general, bank relationships had little impact on firm performance; stock market listings, or ownership structure, were more important. The findings show that securities markets can thrive within a civil-law, universal-bank system and suggest that financial system complexity can favour rapid industrial expansion.

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to sele

The articles in this volume cover some developments in complex analysis and algebraic geometry. The book is divided into three parts. Part I includes topics in the theory of algebraic surfaces and analytic surface. Part II covers topics in moduli and classification problems, as well as structure theory of certain complex manifolds. Part III is devoted to various topics in algebraic geometry analysis and arithmetic. A survey article by Ueno serves as an introduction to the general background of the subject matter of the volume. The volume was written for Kunihiko Kodaira on the occasion of his sixtieth birthday, by his friends and students. Professor Kodaira was one of the world's leading mathematicians in algebraic geometry and complex manifold theory: and the contributions reflect those concerns.

How can you create a successful brand? What makes a great entrepreneur? And why do some firms fail while others prosper?Part of DK’s indispensable Big Ideas series, this fully revised and updated new edition of The Business Book answers these questions and many more. The perfect introduction to the subject, it explores and explains everything from competition-based theory and critical-path analysis to market-mapping and the MABA matrix through a combination of easy-to-follow explanations, innovative graphics, and intriguing quotes.This fascinating new edition features:More than 90 of the most important ideas, events, and milestones in the field of business, business strategy, and management – from benchmarking and “Big Data” to Kaizen and cash flowSimple explanations, bold infographics and step-by-step diagrams that untangle knotty concepts, and witty illustrationsKey quotes from major figures from business history – from Andrew Carnegie to Warren BuffetEight pages of brand-new content

Terrorism, Politics, and Human Rights Advocacy provides an insider-outsider analysis of the #BringBackOurGirls (#BBOG) movement. Formed through a coalition of elite women and middle-class allies to advocate for the rescue of over 200 high school girls from Chibok, Nigeria, who were kidnapped by Boko Haram in 2014, the movement is a global leader in the 'lives matter' advocacy and a new episode in African women-led rights movements. Based on data garnered from over 170 research participants, Oriola demonstrates how the #BBOG transformed the Chibok kidnapping into an international cause and a social problem in a sociological sense, inadvertently creating a social problem industry. The volume provides in-depth analyses of the organizational structure, decision-making, repertoire of protest, framing, internal dynamics, and divisions within the #BBOG. Far more than a social media phenomenon, the #BBOG deploys a hybridized communication process which seamlessly combines the time-space compre

Do you worry that your understanding of English grammar isn’t what it should be? It may not be your fault. For hundreds of years, vague and confused ideas about how to state the rules have been passed down from one generation to the next. The available books for the general reader – thousands of them, shamelessly plagiarizing each other – repeat the same misguided definitions and generalizations that appeared in the schoolbooks used by your great-great-grandparents.Geoffrey K. Pullum thinks you deserve better. In this book he breaks away from the tradition.Presupposing no prior knowledge or technical terms, he provides an informal introduction to the essential concepts underlying grammar and usage. With his foundation, you will be equipped to understand the classification of words, the structure of phrases and clauses, and why some supposed grammar rules are really just myths. Also covered are some of the key points about spelling, apostrophes, hyphens, capitalization, and punctuation.

The perfect introduction to poetry, The Poetry Book offers a fascinating exploration of more than 90 of the world's greatest poetic works.Discover poems in all their many guises, from the epics of the ancient world through Renaissance sonnets to modernist masterpieces such as The Waste Land, and the key works of the last 50 years, including And Still I Rise by Maya Angelou and Derek Walcott's Omeros.Using the Big Ideas series' trademark combination of clear explanation, witty infographics, and inspirational quotes, The Poetry Book unlocks the key ideas, themes, imagery, and structural techniques behind even the most complex of poems, in clear and simple terms, setting each work in its historical, social, cultural, and literary context.Dive into the passionate world of poetry to discover:COMPREHENSIVE: Brings together a curated selection of the most celebrated and important poems ever written, majoring on English-language poetryANALYTICAL: Provides critical analysis of form, structure,

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book con

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

Ideal for entry-level and experienced researchers working in materials science and engineering, this unique book introduces a new subfield of materials science and mechanics of materials: network materials. A comprehensive review of their mechanical behaviours allows readers to understand, design, and enhance the performance of these material systems, across a range of materials including cytoskeletons, connective tissue, and thermoset polymers. By introducing simple models, supported by experimental data, the book provides the necessary fundamental knowledge to assist readers to design and develop their own material systems. By presenting each of these previously disparate material systems within a unified theoretical framework, this book provides a consolidated presentation of the mechanics of networks and their interactions, introducing parameters that define the stochastic structure of the network, and discussing their mechanical behaviour. It is an ideal text for those new to this

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Attitudes towards spoken, signed, and written language are of significant interest to researchers in sociolinguistics, applied linguistics, communication studies, and social psychology. This is the first interdisciplinary guide to traditional and cutting-edge methods for the investigation of language attitudes. Written by experts in the field, it provides an introduction to attitude theory, helps readers choose an appropriate method, and guides through research planning and design, data collection, and analysis. The chapters include step-by-step instructions to illustrate and facilitate the use of the different methods as well as case studies from a wide range of linguistic contexts. The book also goes beyond individual methods, offering guidance on how to research attitudes in multilingual communities and in signing communities, based on historical data, with the help of priming, and by means of mixed-methods approaches.

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerat

A clear introduction for the novice naturalist to all things ant.Ants are everywhere, though they are small, easily overlooked and usually misunderstood. But these seemingly puny insects have a superpower that makes them amongst the most important organisms on the planet― what they lack in size and individual strength, they more than make up for in sheer numbers and sophisticated, coordinated activity.In this book, impassioned entomologist Richard Jones reveals the bizarre and sometimes poorly studied behaviours of ants. Their aggregation in huge nests is a complex mix of genetics, chemistry, geography and higher social interaction. Their forage trails, usually to aphid colonies but occasionally into the larder, are maintained by a wondrous alchemy of molecular scents and markers. Their social colony structure confused natural philosophers of old and still taxes the modern biologist today. Despite being tiny, ants are special because they and their complex colonies are amenable to scie

Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or usin

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

A lively introduction to morphology, this textbook is intended for undergraduates with relatively little background in linguistics. It shows students how to find and analyze morphological data and presents them with basic concepts and terminology concerning the mental lexicon, inflection, derivation, morphological typology, productivity, and the interfaces between morphology and syntax on the one hand and phonology on the other. By the end of the text students are ready to understand morphological theory and how to support or refute theoretical proposals. Providing data from a wide variety of languages, the text includes hands-on activities designed to encourage students to gather and analyse their own data. The third edition has been thoroughly updated with new examples and exercises. Chapter 2 now includes an updated detailed introduction to using linguistic corpora, and there is a new final chapter covering several current theoretical frameworks.

The ideal textbook for non-science majors, this lively and engaging introduction encourages students to ask questions, assess data critically and think like a scientist. Building on the success of previous editions, Dinosaurs has been thoroughly updated to include new discoveries in the field, such as the toothed bird specimens found in China and recent discoveries of dinosaur soft anatomy. Illustrations by leading paleontological illustrator John Sibbick and new, carefully-chosen photographs, clearly show how dinosaurs looked, lived and their role in Earth history. Making science accessible and relevant through clear explanations and extensive illustrations, the text guides students through the dinosaur groups, emphasizing scientific concepts rather than presenting endless facts. Grounded in the common language of modern evolutionary biology – phylogenetic systematics – students learn to think about dinosaurs the way that professional paleontologists do.

Numerical relativity has emerged as the key tool to model gravitational waves - recently detected for the first time - that are emitted when black holes or neutron stars collide. This book provides a pedagogical, accessible, and concise introduction to the subject. Relying heavily on analogies with Newtonian gravity, scalar fields and electromagnetic fields, it introduces key concepts of numerical relativity in a context familiar to readers without prior expertise in general relativity. Readers can explore these concepts by working through numerous exercises, and can see them 'in action' by experimenting with the accompanying Python sample codes, and so develop familiarity with many techniques commonly employed by publicly available numerical relativity codes. This is an attractive, student-friendly resource for short courses on numerical relativity, as well as providing supplementary reading for courses on general relativity and computational physics.

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking

Sociophonetics focuses on the relationship between phonetic or phonological form on the one hand, and social and regional factors on the other, working across fields as diverse as sociolinguistics, phonetics, speech sciences and psycholinguistics. Covering methodological, theoretical and computational approaches, this engaging introduction to sociophonetics brings new insights to age-old questions about language variation and change, and to the broader nature of language. It includes examples of important work on speech perception, focusing on vowels and sibilants throughout to provide detailed exemplification. The accompanying website provides a range of online resources, including audio files, data processing scripts and links. Written in an accessible style, this book will be welcomed by students and researchers in sociolinguistics, phonetics, speech sciences and psycholinguistics. See book website at http://lingtools.uoregon.edu/sociophonetics/

Everything we do involves language. Assuming no prior knowledge, this book offers students a contemporary introduction to the study of language. Each thought-provoking chapter is accessible to readers from a variety of fields, and is helpfully organized across six parts: sound; structure and meaning; language typologies and change; language and social aspects; language acquisition; and language, cognition, and the brain. The book's companion website also offers three brief chapters on language and computers; animal communication; and dialectal varieties of English. The chapters feature illustrative tables, figures and maps, along with three types of pedagogical boxes (Linguistic Tidbits; Pause and Reflect; and Eyes on World Languages) that break up text, contextualize information, and provide colourful accents that give real data from languages across the globe. Key words are bolded and defined in a glossary at the end of the book, while end-of-chapter summaries and practice exercises

Experimental political science has changed. In two short decades, it evolved from an emergent method to an accepted method to a primary method. The challenge now is to ensure that experimentalists design sound studies and implement them in ways that illuminate cause and effect. Ethical boundaries must also be respected, results interpreted in a transparent manner, and data and research materials must be shared to ensure others can build on what has been learned. This book explores the application of new designs; the introduction of novel data sources, measurement approaches, and statistical methods; the use of experiments in more substantive domains; and discipline-wide discussions about the robustness, generalizability, and ethics of experiments in political science. By exploring these novel opportunities while also highlighting the concomitant challenges, this volume enables scholars and practitioners to conduct high-quality experiments that will make key contributions to knowledge.

Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for polic

Journal publication and grant writing are two core professional skills for new scholars today. However, systematic training is not typically offered in graduate programs worldwide. This book equips readers with the current scientific knowledge by providing a concise introduction to the science of journal article publication. The overall structure generally matches the curriculum of a graduate course and each chapter features a learning sequence based on Daniel Kahneman's intuitive judgement theory. The volume analyzes the intuitive thoughts of new authors from a variety of countries, uses over fifty real-life cases, and focuses on core concepts from nearly 100 research articles. It provides scientific advice for new authors, junior researchers, and graduate students to publish their scholarly work and advance their academic careers.

The Companion is an essential, interdisciplinary tool for those both familiar and unfamiliar with Wagner's Ring. It opens with a concise introduction to both the composer and the Ring, introducing Wagner as a cultural figure, and giving a comprehensive overview of the work. Subsequent chapters, written by leading Wagner experts, focus on musical topics such as 'leitmotif', and structure, and provide a comprehensive set of character portraits, including leading players like Wotan, Brünnhilde, and Siegfried. Further chapters look to the mythological background of the work and the idea of the Bayreuth Festival, as well as critical reception of the Ring, its relationship to Nazism, and its impact on literature and popular culture, in turn offering new approaches to interpretation including gender, race and environmentalism. The volume ends with a history of notable stage productions from the world premiere in 1876 to the most recent stagings in Bayreuth and elsewhere.

Livy's Ab urbe condita Book XXII narrates Hannibal's massive defeats of the Romans at Trasimene (217 BC) and Cannae (216 BC). It is Livy's best and most dramatic book, and the one most likely to appeal to students at every level. Livy drew on the Greek historian Polybius, but transformed his drier treatment into a rhetorical masterpiece, which by a series of insistent thematic contrasts brings out the tensions between the delaying tactics of Fabius and the costly rashness of Flaminius, Minucius and Varro. A substantial and accessibly written introduction by two experienced commentators covers historical, religious, literary and linguistic matters, including the place of Book XXII in the structure of Livy's long work. A new text by Briscoe is followed by a full commentary, covering literary and historical aspects and offering frequent help with translation. The volume is suitable for undergraduates, graduate students, teachers, and scholars.

Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their

Construction grammar (CxG) is a framework for syntactic analysis that takes constructions - pairings of form and meaning that range from the highly idiomatic to the very general - to be the building blocks of sentence meaning. Offering the first comprehensive introduction to CxG to focus on both English words and the constructions that combine them, this textbook shows students not only what the analyses of particular structures are, but also how and why those analyses are constructed, with each chapter taking the student step-by-step through the reasoning processes that yield the best description of a data set. It offers a wealth of illustrative examples and exercises, largely based on real language data, making it ideal for both self-study and classroom use. Written in an accessible and engaging way, this textbook will open up this increasingly popular linguistic framework to anyone interested in the grammatical patterns of English.

Galactic dynamics is fundamental to understanding the formation of galaxies, their internal evolution and their current structure. While galactic dynamics has traditionally focused on the evolution of the stellar components of galaxies, studies over the past two decades have shown that all aspects of galaxy evolution are strongly influenced by the interplay between the dynamics of stars, gas, and dark matter. IAU Symposium 353, is the first major symposium in more than a decade focused on the dynamics of galaxies and stellar systems, covering the recent explosion in the availability of kinematical data both for individual stars in the Milky Way and wide field line-of-sight kinematics for large samples of external galaxies. These proceedings describe recent developments that aim to transform our understanding of the dynamics, structure, formation and evolution of our own host galaxy, the Milky Way, as well as galaxies in the universe at large.

Accompanied by a new translation of Aristotle's Nicomachean Ethics X, this volume presents a hybrid between a traditional commentary and a scholarly monograph. Aristotle's text is divided into one hundred lemmata which not only explore comprehensively the content and strength of each of these units of thought, but also emphasise their continuity, showing how the smaller units feed into the larger structure. The Commentary illuminates what Aristotle thinks in each lemma (and why), and also shows how he thinks. In order to bring Aristotle alive as a thinker, it often explores several possible ways of reading the text to enable the reader to make up their own mind about the best interpretation of a given passage. The relevant background in Plato's dialogues is discussed, and a substantial Introduction sets out the philosophical framework necessary for understanding Book X, the final and most arresting section of the Ethics.