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Pip and Shannon dreamed of living the good life. They wanted to slow down, grow their own food and spend more time with the people they love. But jobs and responsibilities got in the way: their chooks died, their fruit rotted, and Pip ended up depressed and in therapy. So they did the only reasonable thing - they quit their jobs, pulled the children out of school and went searching for la dolce vita in Italy. One Italian Summer is a warm, funny and poignant story of a family's search for a better way of living, in the homes and on the farms of strangers. Pip sleeps in a tool shed, feasts under a Tuscan sun, works like a tractor in Calabria and, eventually, finds the good life she's always dreamed of - though not at all where she expected.
A brilliant and poetic exploration of the way that we experience time in our everyday lives. Why does time seem so short? How does women's time differ from men's? Why does time seem to move slowly in the countryside and quickly in cities? How do different cultures around the world see time? In A Sideways Look at Time, Jay Griffiths takes readers on an extraordinary tour of time as we have never seen it before. With this dazzling and defiant work, Griffiths introduces us to dimensions of time that are largely forgotten in our modern lives. She presents an infectious argument for other, more magical times, the diverse cycles of nature, of folktale or carnival, when time is unlimited and on our side. This is a book for those who suspect that there's more to time than clocks. Irresistible and provocative, A Sideways Look at Time could change the way we view time-forever.
From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together
Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.
Lloyd Jones' new novel is set mainly in a small village on Bougainville, a country torn apart by civil war. Matilda attends the school set up by Mr Watts, the only white man on the island. By his own admission he's not much of a teacher and proceeds to educate the children by reading them Great Expectations. Matilda falls in love with the novel, strongly identifying with Pip. The promise of the next chapter is what keeps her going; Pip's story protects her from the horror of what is happening around her - helicopters menacing the skies above the village and rebel raids on the ground. When the rebels visit the village searching for any remaining men to join their cause, they discover the name Pip written in the sand and instigate a search for him. When Pip can't be found the soldiers destroy the book. Mr Watts then encourages the children to retell the story from their memories. Then when the rebels invade the village, the teacher tells them a story which lasts seven nights, about a boy named Pip, and a convict . . .
This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA). The proposed approach was tested with real data from S&P500 index and all the results obtained outperform the Buy&Hold strategy. Three different case studies are presented by the authors.
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.
Douglas uncovers the underlying reasons for lack of consistency and helps traders overcome the ingrained mental habits that cost them money. He takes on the myths of the market and exposes them one by one teaching traders to look beyond random outcomes, to understand the true realities of risk, and to be comfortable with the "probabilities" of market movement that governs all market speculation.