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Winter Hours stands alone as a thought-provoking collection of opinions on writing about the natural world, a hodgepodge of different forms and topics, tied loosely together as the thoughts of Mary Oliver, poet. To a reader unfamiliar with Oliver's work, Winter Hours could seem insufficiently structured, its components only loosely related and its subject matter too concerned with Oliver's personal writing experience. But to one familiar with Oliver's poems, the book is a valuable window into the author's character and motivation. And regardless of the coherence of the book as a whole, each...
...face of such horror -- not to mention the apparent suicide of the young gunmen -- few have the heart to trace the blame to the homes that produced the killers. Doubtless too many parents can see themselves in that position to confront the uncomfortable, unfamiliar reality of suburban teenage anomie. In a country where burning yourself with a very hot cup of coffee is considered grounds for a lawsuit, the temptation to place the blame on someone -- anyone -- else is apparently irresistible, especially in the face of such an unconscionable...
...visions of nearly identical Orthodox Jewish communities in New York and in Jerusalem, Englander presents a group of stories relevant both in and outside of the religious sphere. The readers may find some of Englander's untranslated Yiddish and Hebrew phrases and his references to Orthodox Jewish customs unfamiliar, but the collection is accessible to anyone. It is not necessary to come from a demanding religious tradition in order to empathize with his characters...
...park is threatened by a developer-not an unfamiliar story in Cambridge...
...catch these actors, Bartlett scanned pictures of faces into the computer and wrote instructions that taught the machine to recognize six of Ekman's coded movements: the fleeting grimace or scowl, for example, that may precede a liar's counterfeit smile. When the computer was later presented with other, unfamiliar pictures and videotapes, it showed a remarkable ability to apply what it had learned, detecting similar flickers in the new pictures and even outperforming human volunteers who competed with the machine to spot the same telltale twitches...