Sometimes in life things are bound to get noisy, and if that's the case, why not learn from them? With the help of this informative book, readers perform exciting experiments and learn why and how certain items make certain sounds. Accessible step-by-step instructions correlate closely with eye-popping illustrations, ensuring readers of many ages and levels can follow along with these amazing activities. Each exciting project encourages readers to use their critical thinking skills and draw conclusions based on the experiments they perform.

Batch Effects and Noise in Microarray Experiments: Sources and Solutions looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information. Each chapter focuses on sources of noise and batch effects before starting an experiment, with examples of statistical methods for detecting, measuring, and managing batch effects within and across datasets provided online. Throughout the book the importance of standardization and the value of standard operating procedures in the development of genomics biomarkers is emphasized. Key Features: A thorough introduction to Batch Effects and Noise in Microrarray Experiments. A unique compilation of review and research articles on handling of batch effects and technical and biological noise in microarray data. An extensive overview of current standardization initiatives. All datasets and methods used in the chapters, as well as colour images, are available on www.the-batch-effect-book.org, so that the data can be reproduced. An exciting compilation of state-of-the-art review chapters and latest research results, which will benefit all those involved in the planning, execution, and analysis of gene expression studies.

A discussion of recently developed experimental methods for noise research in nanoscale electronic devices, conducted by specialists in transport and stochastic phenomena in nanoscale physics. The approach described is to create methods for experimental observations of noise sources, their localization and their frequency spectrum, voltage-current and thermal dependences. Our current knowledge of measurement methods for mesoscopic devices is summarized to identify directions for future research, related to downscaling effects. The directions for future research into fluctuation phenomena in quantum dot and quantum wire devices are specified. Nanoscale electronic devices will be the basic components for electronics of the 21st century. From this point of view the signal-to-noise ratio is a very important parameter for the device application. Since the noise is also a quality and reliability indicator, experimental methods will have a wide application in the future.

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.

Batch Effects and Noise in Microarray Experiments: Sources and Solutions looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information. Each chapter focuses on sources of noise and batch effects before starting an experiment, with examples of statistical methods for detecting, measuring, and managing batch effects within and across datasets provided online. Throughout the book the importance of standardization and the value of standard operating procedures in the development of genomics biomarkers is emphasized. Key Features: A thorough introduction to Batch Effects and Noise in Microrarray Experiments. A unique compilation of review and research articles on handling of batch effects and technical and biological noise in microarray data. An extensive overview of current standardization initiatives. All datasets and methods used in the chapters, as well as colour images, are available on www.the-batch-effect-book.org, so that the data can be reproduced. An exciting compilation of state-of-the-art review chapters and latest research results, which will benefit all those involved in the planning, execution, and analysis of gene expression studies.

Primarily intended for the undergraduate and postgraduate students of psychology, this book will help understand the methodology of experiments and the basic concepts of experimental psychology. Since the experiments are described in detail with the help of purely hypothetical data, the readers will easily understand the procedure and the steps involved in each experiment. Complete reports of more than fifty experiments will certainly help understand the significance of each step in an experiment. The detailed description of experiments will also help in conceptualising relevant problems and designing appropriate experiments. Another feature is that, more than half of the experiments described in the book do not require sophisticated apparatus. Key Features • Sample data are provided in each experiment. • Theoretical background of experiments is sufficient and clear. • Sample data are analysed with the help of statistical techniques. • Language is lucid and easy to comprehend. • Experiments on most of the topics have been covered.