Every summer the U.S. Central Plains go dry, leading farmers to tap into groundwater to irrigate sorghum, soy, cotton, wheat and corn and maintain large herds of cattle and hogs. As the heat rises, anxious irrigators gather to discuss whether and how they should adopt more stringent conservation measures. They know that if they do not conserve, the Ogallala Aquifer, the source of their prosperity, will go dry. The Ogallala, also known as the High Plains Aquifer, is one of the largest underground freshwater sources in the world. It underlies an estimated 174,000 square miles of the Central Plains and holds as much water as Lake Huron.
Footwear giant Reebok is the latest major retailer to go green. The international sneaker company announced Tuesday its "Cotton Corn" line, a sustainable initiative that will create shoes entirely out of plants. Developed by the Reebok Future team in a partnership with DuPont Tate & Lyle Bio Products, the sneakers will contain an upper portion made from organic cotton, while the base will be made from industrially grown corn. The company planned for the plant-based sneakers to hit markets sometime later this year. "We like to say, we are'growing shoes' here at Reebok," Bill McInnis, head of Reebok Future said in a press release.
Classification learning algorithms in general, and text classification methods in particular, tend to focus on features of individual training examples, rather than on the relationships between the examples. However, in many situations a set of items contains more information than just feature values of individual items. For example, taking into account the articles that are cited by or cite an article in question would increase our chances of correct classification. We propose to recognize and put in use generalized features (or set features), which describe a training example, but depend on the dataset as a whole, with the goal of achieving better classification accuracy. Although the idea of generalized features is consistent with the objectives of relational learning (ILP), we feel that instead of using the computationally heavy and conceptually general ILP methods, there may be a benefit in looking for approaches that use specific relations between texts, and in particular, between emails.
In the mid-1980s a fertility agency began offering infertile couples the chance to pay a woman to have a baby on their behalf. It was a controversial move that attracted intense media coverage and much criticism of those involved. In 1985, Kim Cotton became Britain's first surrogate mother. Through the agency, she was paid to become pregnant, carry the baby to term and hand over the infant to the couple. She never met or knew the identify of Baby Cotton's parents but such was the outcry that commercial surrogacy was outlawed within six months.