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This book is full of my introductions to food, each followed by three recipes. The first recipe is from my childhood, straight from the story. Then there is an adapted version of the recipe to fit my needs as a teenager when I had to change my diet due to health complications. The last recipe shown fits the dietary preferences of my current self; these recipes are vegan. This book can be used in many different ways and has no specific order. I hope reading this allows you to pause and think of moments in your life that have influenced your relationship with food.
This book gives a lively development of the mathematics needed to answer the question, “How many times should a deck of cards be shuffled to mix it up?” The shuffles studied are the usual ones that real people use: riffle, overhand, and smooshing cards around on the table. The mathematics ranges from probability (Markov chains) to combinatorics (symmetric function theory) to algebra (Hopf algebras). There are applications to magic tricks and gambling along with a careful comparison of the mathematics to the results of real people shuffling real cards. The book explores links between shuffling and higher mathematics—Lie theory, algebraic topology, the geometry of hyperplane arrangements, stochastic calculus, number theory, and more. It offers a useful springboard for seeing how probability theory is applied and leads to many corners of advanced mathematics. The book can serve as a text for an upper division course in mathematics, statistics, or computer science departments and will be appreciated by graduate students and researchers in mathematics, statistics, and computer science, as well as magicians and people with a strong background in mathematics who are interested in games that use playing cards.
In response to increasing information demands on its digital cartographic data, the U.S. Geological Survey has designed an enhanced version of the Digital Line Graph, termed Digital Line Graph - Enhanced (DLG-E). In the DLG-E model, the phenomena represented by geographic and cartographic data are termed entities. Entities represent individual phenomena in the real world.
INSTANT NEW YORK TIMES BESTSELLER From the #1 New York Times bestselling author known for her “superb pacing, twisted characters, and captivating prose” (BuzzFeed), Lisa Jewell returns with a scintillating new psychological thriller about a woman who finds herself the subject of her own popular true crime podcast. Celebrating her forty-fifth birthday at her local pub, popular podcaster Alix Summer crosses paths with an unassuming woman called Josie Fair. Josie, it turns out, is also celebrating her forty-fifth birthday. They are, in fact, birthday twins. A few days later, Alix and Josie bump into each other again, this time outside Alix’s children’s school. Josie has been listening to Alix’s podcasts and thinks she might be an interesting subject for her series. She is, she tells Alix, on the cusp of great changes in her life. Josie’s life appears to be strange and complicated, and although Alix finds her unsettling, she can’t quite resist the temptation to keep making the podcast. Slowly she starts to realize that Josie has been hiding some very dark secrets, and before she knows it, Josie has inveigled her way into Alix’s life—and into her home. But, as quickly as she arrived, Josie disappears. Only then does Alix discover that Josie has left a terrible and terrifying legacy in her wake, and that Alix has become the subject of her own true crime podcast, with her life and her family’s lives under mortal threat. Who is Josie Fair? And what has she done?
The study of biological data is constantly undergoing profound changes. Firstly, the volume of data available has increased considerably due to new high throughput techniques used for experiments. Secondly, the remarkable progress in both computational and statistical analysis methods and infrastructures has made it possible to process these voluminous data. The resulting challenge concerns our ability to integrate these data, i.e. to use their complementary nature effectively in the hope of advancing our knowledge. Therefore, a major challenge in studying biology today is integrating data for the most exhaustive analysis possible. Biological Data Integration deals in a pedagogical way with research work in biological data science, examining both computational approaches to data integration and statistical approaches to the integration of omics data
I have been using the first edition of this book as a text for a number of years. This was in a Stanford University first-year graduate course that is taken by students from Electrical Engineering or Computer Science who are interested in computer organization. Because computer tech nology has been changing so rapidly, it became necessary to supplement the text with additional readings. My colleagues and I examined many newly-published books for possible use as texts. We found no book with the same excellent choice of topics and thorough coverage as Dr. Gschwind's first edition. Springer-Verlag's request that I prepare a second edition of this book came at a time when I had many other projects underway. Before I de cided whether to take on the project of preparing a revision, I asked many of my students for their opinions of Dr. Gschwind's first edition. Even I was surprised by the enthusiasm that this rather skeptical and critical group of students displayed for the book. It was this enthusiasm that convinced me of the value and importance of preparing the revision.