How To Fall Off A Cliff

The mysterious, violent death of a prominent New England patriarch exposes a nest of dark family secrets in "New York Times"-bestselling author Patterson's 20th compelling novel, now available in a tall Premium Edition.

Squatting in the corner, washing a bowl full of chopsticks, the teenager looked blankly at the emaciated mother being bossed around as a servant.

This book provides a blended approach in outlining the properties of grammatical knowledge that have been causing difficulty to Chinese speaking learners, including tense and aspect, articles, passives, unaccusatives, plurality and motion verbs. It explains from different linguistics perspectives how these constraints/difficulties might be dealt with. It also offers readers a comprehensive account of these problems, and outlines the possible pedagogical solutions teachers can try in the classroom. These topics are selected because they bring substantial challenges and difficulties to Chinese English as a Second Language (ESL) learners. This book bridges the gap between acquisition theory and language pedagogy research, benefiting not just language learners but language teachers around the world, and all those who would like to witness collaboration between second language acquisition theory and second language teaching practice in general. It initiates future work in which researchers from different fields with diverging theoretical perspectives and methodological approaches will be able to develop studies that are compatible with each other. This overall can facilitate our understanding of second language acquisition, and how instruction might help.

This novel is on the one hand a young man’s frustrated attempt to write the great Filipino novel, and on the other, his coming to terms with the futility of his search for his lost mother. Along the way, he is guided and misdirected by some muses and demons to reimagine his personal past without the burden of national history. He will be forced to accept that truth can somehow be in the deceptive, inchoate recreation of memories, without which, the fall seems inevitable.

Les arrels del realisme màgic en els escrits de Borges i altres autors d'Amèrica Llatina han estat àmpliament reconeguts i ben documentades produint una sèrie d'estudis crítics, molts dels quals figuren en la bibliografia d'aquest treball. Dins d'aquest marc, aquest llibre presenta als lectors una varietat d'escriptores de grups ètnics, conegudes i menys conegudes, i les col·loca en un context literari en el que es tracten tant a nivell individual com a escriptores així com a nivell col·lectiu com a part d'un moviment artístic més ampli. Aquest llibre és el resultat del treball realitzat a les universitats de Sheffield i la de València i representa una valuosa investigació i una important contribució als estudis literaris.

“Dr. Prologo targets sustainability. He elevates our science-based weight-loss programs by keeping people engaged.” —Arthur Agatston, MD, author of The South Beach Diet Ninety-nine percent of diets fail because our bodies resist the change in the name of survival. “Stop with the rice cakes and boot camp already—we are starving to death!” It’s like holding your breath underwater. We can endure it for a short time against the body’s will to survive, but the longer you stay there, the louder and more crushing the signals get, until you finally burst to the surface for air (or into a fast food restaurant, the pantry, or a refrigerator, in the case of dieting). The Catching Point Transformation was created to ease this transition and quiet the body’s resistance so that everyone can have fun, feel confident, and be successful when engaged with healthy living. It levels the playing ground for those who are trying to make a change with those who are already lean. Dr. Prologo understands and believes you when you say “no diet works for me,” and so has finally created a different approach.

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into a range of value and policy gradient methods Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying website