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Everyone knows what noise is. Or do they? Can we in fact say that one man's noise is another teenager's music? Is noise in fact only an auditory phenomenon or does it extend far beyond this realm? If our common definitions of noise are necessarily subjective and noise is not just unpleasant sound, then it merits a closer look (or listen). Greg Hainge sets out to define noise in this way, to find within it a series of operations common across its multiple manifestations that allow us to apprehend it as something other than a highly subjective term that tells us very little. Examining a wide range of texts, including Sartre's novel Nausea and David Lynch's iconic films Eraserhead and Inland Empire, Hainge investigates some of the Twentieth Century's most infamous noisemongers to suggest that they're not that noisy after all; and it finds true noise in some surprising places. The result is a thrilling and illuminating study of sound and culture.
Bayesian methods are being increasingly employed in many different areas of research in the physical sciences. In astrophysics, models are used to make predictions to be compared to observations. These observations offer information that is incomplete and uncertain, so the comparison has to be pursued by following a probabilistic approach. With contributions from leading experts, this volume covers the foundations of Bayesian inference, a description of computational methods, and recent results from their application to areas such as exoplanet detection and characterisation, image reconstruction, and cosmology. It appeals to both young researchers seeking to learn about Bayesian methods as well as to astronomers wishing to incorporate these approaches in their research areas. It provides the next generation of researchers with the tools of modern data analysis that are already becoming standard in current astrophysical research.
Energy Balance Climate Models Written by renowned experts in the field, this first book to focus exclusively on energy balance climate models provides a concise overview of the topic. It covers all major aspects, from the simplest zero-dimensional models, proceeding to horizontally and vertically resolved models. The text begins with global average models, which are explored in terms of their elementary forms yielding the global average temperature, right up to the incorporation of feedback mechanisms and some analytical properties of interest. The eff ect of stochastic forcing is then used to introduce natural variability in the models before turning to the concept of stability theory. Other one dimensional or zonally averaged models are subsequently presented, along with various applications, including chapters on paleoclimatology, the inception of continental glaciations, detection of signals in the climate system, and optimal estimation of large scale quantities from point scale data. Throughout the book, the authors work on two mathematical levels: qualitative physical expositions of the subject material plus optional mathematical sections that include derivations and treatments of the equations along with some proofs of stability theorems. A must-have introduction for policy makers, environmental agencies, and NGOs, as well as climatologists, molecular physicists, and meteorologists.
Is noise the most neglected green issue of our age? This book argues compellingly that it is, and tells you all you need to know about noise as a social, cultural, environmental and health issue. Across the world, more people are disturbed by noise in their day-today lives than by any other pollutant on Earth. From the shanty towns of Mumbai to the smart boulevards of Paris, noise is a problem. It is damaging people's health, costing billions, and threatening the world's natural sound systems in the same way that climate change is altering its eco-systems. Drawing on evidence from all over the world, this book showcases policies and strategies that have worked to decrease noise pollution, and offers lessons for policymakers and environmental health professionals, campaigners and any individual affected by noise. Written by a renowned noise campaigner and experts in law and health, this book tells you all you need to know about noise as a social, cultural and environmental issue and how we can act to build a more peaceful world.
All papers were peer reviewed. Bayesian Inference and Maximum Entropy Methods in Science and Engineering provide a framework for analyzing ill-conditioned data. Maximum Entropy is a theoretical method to draw conclusions when little information is available. Bayesian probability theory provides a formalism for scientific reasoning by analyzing noisy or imcomplete data using prior knowledge.
From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—"a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it.
Hal Clement, the dean of hard science fiction, has written a new planetary adventure in the tradition of his classic Mission of Gravity. It is the kind of story that made his reputation as a meticulous designer of otherworldly settings that are utterly convincing because they are constructed from the ground up using established principles of orbital mechanics, geology, chemistry, biology, and other sciences. Kainui is one of a pair of double planets circling a pair of binary stars. Mike Hoani has come there to study the language of the colonists, to analyze its evolution in the years since settlement. But Kainui is an ocean planet. Although settled by Polynesians, it is anything but a tropical paradise. The ocean is 1,700 miles deep, with no solid ground anywhere. The population is scattered in cities on floating artificial islands with no fixed locations. The atmosphere isn't breathable, and lightning, waterspouts, and tsunamis are constant. Out on the great planetary ocean, self-sufficiency is crucial, and far from any floating city, on a small working-family ship, anything can happen. There are, for instance, pirates. Mike's academic research turns into an exotic nautical adventure unlike anything he could have imagined.
This new sticker activity series for kids aged 3 and up shows kids the incredible sights and diverse environments of planet earth. Keep little hands busy on long journeys with these bumper books of stickers that mix amazing facts about some of the world's noisy places with great photos and illustrations, plus a small dose of humour. Each book also includes a collectible fold-out surprise, an extra gift to make and proudly display.
They crashed on a planet of dark secrets and immense power A crew of three, Sam, Bohai and Teak cruise into deep space on the Starship Praihawk to find new resources for Earth. When they are snared by a planet that shifts through time and space, a failed escape plunges them into intergalactic war. Trapped between a xenophobic world hell-bent on preventing anyone from leaving, and a fleet of enemy ships pulled from the past, the Praihawk's crew must unravel the secrets of this cruel planet to stay alive. And the planet's deadliest secret has the power to alter the universe. *Sam's DNA gives him the sparking ability of Neptune; *Bohai can communicate with creatures; *Teak is a spider with deadly venom. This unique crew will boldly go where no spiderling has gone before. A thrilling space exploration adventure from the author of Earthweeds and The Last Starbase. 364 pages