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Every Love Story is a Ghost Story
David Foster Wallace is to contemporary literature what Kurt Cobain is to music. He died young enough for his promise and his achievements to solidify into a legend. For many, he became someone worth reading, revering, following. How had a teen tennis prodigy turned ace philosophy student turned novelist managed to become a generation-defining star? And how painful was that process for him? What was it that he stood for that chimed with so many? And how much did his, and his country's, addictions defeat him? D. T. Max was determined to find out, and this scrupulous and revealing biographical study, which draws on conversations with those closest to Wallace and on extensive archive material, is the haunting result.
The Family That Couldn't Sleep
For two hundred years a noble Venetian family has suffered from an inherited disease that strikes their members in middle age, stealing their sleep, eating holes in their brains, and ending their lives in a matter of months. In Papua New Guinea, a primitive tribe is nearly obliterated by a sickness whose chief symptom is uncontrollable laughter. Across Europe, millions of sheep rub their fleeces raw before collapsing. In England, cows attack their owners in the milking parlors, while in the American West, thousands of deer starve to death in fields full of grass. What these strange conditions–including fatal familial insomnia, kuru, scrapie, and mad cow disease–share is their cause: prio...
Summary of D. T. Max's Every Love Story Is a Ghost Story
Please note: This is a companion version & not the original book. Sample Book Insights: #1 David Wallace’s story is one of midwestern normality. His parents were professors at a public university in Illinois, and he and his sister grew up in a house full of books and learning. His mother was the center of the universe. #2 Wallace’s mother, Sally, was a huge influence on him. She was smart and funny, and she included him in her love of words. She was also extremely strict about grammar, but that just added to the excitement of having a gifted mother. #3 Wallace’s childhood was happy and ordinary. He was a skinny, gap-toothed kid with flaccid hair cut in bangs. He liked the Chicago Bears, loved their star linebacker Dick Butkus, and wanted to be a football player or a brain surgeon to help his mother’s nerves. #4 Wallace’s approach to dealing with injustice was to appeal to his parents. He was a smart kid, but many adults found him a handful. He was constantly asking Why.
The Dog of the Marriage
Amy Hempel's compassion, intensity, and illuminating observations have made her one of the most distinctive and admired modern writers. In three stunning books of stories, she has established a voice as unique and recognizable as the photographs of Cindy Sherman or the brushstrokes of Robert Motherwell. The Dog of the Marriage, Hempel's fourth collection, is about sexual obsession, relationships gone awry, and the unsatisfied longings of everyday life. In "Offertory," a modern-day Scheherazade entertains and manipulates her lover with stories of her sexual encounters with a married couple as a very young woman. In "Reference # 388475848-5," a letter contesting a parking ticket becomes a beau...
Testing the Current
Growing up in a small upper Midwestern town in the late 1930s, young Tommy MacAllister is scarcely aware of the Depression, much less the rumblings of war in Europe. For his parents and their set, life seems to revolve around dinners and dancing at the country club, tennis dates and rounds of golf, holiday parties, summers on the Island, and sparkling occasions full of people and drinks and food and laughter. But curious as he is and impatient to grow up, Tommy will soon come to glimpse the darkness that lies beneath so much genteel complacency: hidden histories and embarrassing poor relations; the subtle (and not so subtle) slighting of the “help”; the mockery of President Roosevelt; and “the commandment they talked least about in Sunday school,” adultery. In Testing the Current William McPherson subtly sets off his wide-eyed protagonist’s perspective with mature reflection and wry humor and surrounds him with a cast of vibrant characters, creating a scrupulously observed portrait of a place and time that will shimmer in readers’ minds long after the final page is turned.
Logistics Systems Analysis
"... a well structured and documented book that certainly reflects the new era of logistics." Journal of the Operational Research Society (of a previous edition) Expanded edition includes new research results and numerous modifications to enhance comprehensiveness and clarity. Two new sections, a new appendix, and more than half a dozen new figures. Provides new concept for an integrated examination of logistics systems Features "reasonable" solutions requiring as little information as possible
The Man who Loved Children
The Man Who Loved Children is Christina Stead's masterpiece about family life. Set in Washington during the 1930s, Sam and Henny Pollit are a warring husband and wife. Their tempestuous marriage, aggravated by too little money, lies at the centre of Stead's satirical and brilliantly observed novel about the relations between husbands and wives, and parents and children. Sam, a scientist, uses words as weapons of attack and control on his children and is prone to illusions of power and influence that fail to extend beyond his family. His wife Henny, who hails from a wealthy Baltimore family, is disastrously impractical and enmeshed in her own fantasies of romance and vengeance. Much of the care of their six children is left to Louisa, Sam's 14-year-old daughter from his first marriage. Within this psychological battleground, Louisa must attempt to make a life of her own. First published in 1940, The Man Who Loved Children was hailed for its satiric energy. Now its originality is again lauded by novelist, Jonathan Franzen, in his illuminating new introduction.
Radiation Physics for Medical Physicists
This book summarizes basic knowledge of atomic, nuclear, and radiation physics that professionals need for efficient and safe use of ionizing radiation. Concentrating on the underlying principles of radiation physics, it covers prerequisite knowledge for medical physics courses on the graduate and post-graduate levels, providing the link between elementary physics on the one hand and the intricacies of the medical physics specialties on the other.
Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions
The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.
Laws Of Small Numbers
Since the publication of the first edition of this seminar book in 1994, the theory and applications of extremes and rare events have enjoyed an enormous and still increasing interest. The intention of the book is to give a mathematically oriented development of the theory of rare events underlying various applications. This characteristic of the book was strengthened in the second edition by incorporating various new results on about 130 additional pages. Part II, which has been added in the second edition, discusses recent developments in multivariate extreme value theory. Particularly notable is a new spectral decomposition of multivariate distributions in univariate ones which makes multivariate questions more accessible in theory and practice. One of the most innovative and fruitful topics during the last decades was the introduction of generalized Pareto distributions in the univariate extreme value theory. Such a statistical modelling of extremes is now systematically developed in the multivariate framework.
