In May, 1956 a conference was held at the New York Academy of Sciences on the subject "Anesthesia and Related Problems." The results of this conference are now presented in a series of 15 papers. On the whole these papers are characterized by an academic and objective approach to many of the clinical problems relating to anesthesia but because of their fundamental nature some of them can also b...

background: the unified treatment approach (up), an emotion-focused cognitive-behavioral therapy that holds emotional processes as a central target of treatment, is applicable for disorders with strong emotional components. the aim of this study was to examine the effectiveness of emotion regulation intervention derivative from the up on emotional problems and quality of life among patients wit...

People are increasingly relying on social media and the Web to find solutions to their problems in a wide range of domains. In this setting, closely related problems often lead to the same characteristic learning pattern—people sharing a similar problem visit closely related pieces of information, perform almost identical queries or, more generally, take a series of similar actions at a similar...

(1) The authors tested the prediction that relative deficiencies in highly unsaturated fatty acids (HUFAs) may underlie some of the behavioral and learning problems associated with attention-deficit/hyperactivity disorder (ADHD) by studying the effects of HUFA supplementation on ADHD-related symptoms in children with specific learning difficulties (mainly dyslexia) who also showed ADHD features...

Deep learning has led to remarkable advances when applied to problems in which the data distribution does not change over the course of learning. In stark contrast, biological neural networks exhibit continual learning, solve a diversity of tasks simultaneously, and have no clear separation between training and evaluation phase. Furthermore, synapses in biological neurons are not simply real-va...

Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-example) is related to a learning problem and stores the experience obtained in the empirical evaluation of a set of candidate algorithms when applied to the problem. The generation of a good set of meta-examples can be a c...

in this paper, tender problems in an automobile company for procuring needed items from potential suppliers have been resolved by the learning algorithm q. in this case the purchaser with respect to proposals received from potential providers, including price and delivery time is proposed; order the needed parts to suppliers assigns. the buyer’s objective is minimizing the procurement costs thr...