ethods: Sixteen surgical residents had initial psychomotor bility testing; then they were randomized to either the VR raining group (n 8) or the control non-VR-trained group (n 8). Virtual reality training was done using the MIST-VR imulator diathermy task. Training was considered complete hen expert criterion levels were achieved. All subjects in both roups then performed laparoscopic cholecys...

I sat with my aunt and uncle, Linda and Robert Glancy, at the kitchen table of their home in North London’s Hampstead Garden Suburb. As usual for Sunday lunch, smoked salmon, egg salad, liver pâté and bagels featured prominently, and though I can’t quite recall, it was likely raining. “Well, Graham started swimming when?”, my uncle asked himself, after I questioned him about my dad’s athletic c...

ecological changes resulting from climate conditions can severely affect human societies especially in the area of economy and safety. climate catastrophes may cause social and economic tension. forecasting such changes accurately can help the government to control the disasters and to achieve possible benefits (such as water supply in flood). weather forecasting is the application of science a...

A system architecture is proposed to support mobile hotspots. The proposed architecture uses multiple repeaters to relay signals from access routers to vehicles and vice versa. Erasure codes are used in the access router to decompose data packets into fixed size fragments. The fragments are then disseminated to the vehicle through the repeaters. The original packet is reconstructed in the vehic...

Machine translation is the task of automatically translating a text from one natural language into another. In this work, we describe and analyze the phrase-based approach to statistical machine translation. In any statistical approach to machine translation, we have to address three problems: the modeling problem, i. e. how to structure the dependencies of source and target language sentences;...

k-Nearest Neighbor (KNN) is one of the most popular algorithms for pattern recognition. Many researchers have found that the KNN classifier may decrease the precision of classification because of the uneven density of t raining samples .In view of the defect, an improved k-nearest neighbor algorithm is presented using shared nearest neighbor similarity which can compute similarity between test ...

Making sense of, and implementing a new education and training system often results in a cutting-up of the system into more manageable pieces. While it is therefore quite understandable that the Sector Education and Training Authorities’ Education and Training Quality Assurance bodies (SETA ETQAs) have focused their initial energies on the core components of qualifications, namely those parts t...