Bioprocess Engineering Principles, Third Edition provides a solid introduction to bioprocess engineering for students with a limited engineering background. The book explains process analysis from an engineering perspective using worked examples and problems that relate to biological systems. Application of engineering concepts is illustrated in areas of modern biotechnology, such as recombinant protein production, bioremediation, biofuels, drug development, and tissue engineering, as well as...

A radically new understanding of and practical approach to climate change by noted environmentalist Paul Hawken, creator of the New York Times bestseller Drawdown

Regeneration offers a visionary new approach to climate change, one that weaves justice, climate, biodiversity, equity, and human dignity into a seamless tapestry of action, policy, and transformation that can end the climate crisis in one generation. It is the first book to describe and define the burgeoning regeneration m...

Authors Ward Cheney and David Kincaid show students of science and engineering the potential computers have for solving numerical problems and give them ample opportunities to hone their skills in programming and problem solving. NUMERICAL MATHEMATICS AND COMPUTING, 7th Edition also helps students learn about errors that inevitably accompany scientific computations and arms them with methods for detecting, predicting, and controlling these errors.

For thirty years this has been the acknowledged standard in advanced classical mechanics courses. This classic text enables students to make connections between classical and modern physics - an indispensable part of a physicist's education. In this new edition, Beams Medal winner Charles Poole and John Safko have updated the text to include the latest topics, applications, and notation, to reflect today's physics curriculum. They introduce students to the increasingly important role that non...

Statistics: The Art and Science of Learning From Data, 5th Edition helps you understand what statistics is all about and learn the right questions to ask when analyzing data, instead of just memorizing procedures. It makes accessible the ideas that have turned statistics into a central science of modern life, without compromising essential material. Students often find this book enjoyable to read and stay engaged with the wide variety of real-world data in the examples and exercises.

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Chosen by the SUNDAY TIMES, GUARDIAN, FT and DAILY MAIL as one of their BEST SUMMER BOOKS OF 2023

'If you only read one diet or nutrition book in your life, make it this one' Bee Wilson

'A devastating, witty and scholarly destruction of the shit food we eat and why' Adam Rutherford

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An eye-opening investigation into the science, economics, history and production of ultra-processed food.

It's not you, it's the food.

We have entered a new 'age of eating' where most of our calories come from ...

'Another masterpiece from one of my favorite authors . . . If you want a brief but thorough education in numeric thinking about many of the fundamental forces that shape human life, this is the book to read. It's a tour de force' BILL GATES

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We have never had so much information at our fingertips and yet most of us don't know how the world really works. This book explains seven of the most fundamental realities governing our survival and prosperity. From energy and food production, ...

How can science be brought to connect with experience? This book addresses two of the most challenging problems facing contemporary neurobiology and cognitive science: first, understanding how we unconsciously execute habitual actions as a result of neurological and cognitive processes that are not formal actions of conscious judgment but part of a habitual nexus of systematic self-organization; second, creating an ethics adequate to our present awareness that there is no such thing as a tran...

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background.

It can also be used in a way that stre...