BACKGROUND The health and economic burden of physical inactivity is well documented. A wide range of primary care and community-based interventions are available to increase physical activity. It is important to identify which components of these interventions provide the best value for money. AIM To assess the cost-effectiveness of physical activity interventions in primary care and the comm...

Adiponectin is an adipocyte-secreted hormone and regulates the metabolism of lipid and glucose. We examined the influence of adiponectin G276T gene polymorphism on changes in total or high molecular weight adiponectin levels by exercise training. A randomized parallel-design study (n = 53; 40 women and 13 men; age range, 32 65 years) was conducted. Participants were randomly assigned to the exe...

OBJECTIVES The present study tested the hypothesis that recall of receiving physical activity (PA) advice would be associated with higher levels of PA in patients with a diagnosis of colorectal cancer (CRC). SETTING Colorectal cancer patients who were diagnosed in 2010 or 2011, and had been treated in the English National Health Service (NHS). PARTICIPANTS 17,753 respondents completed at le...

Context. Only two planetary systems around old ms-pulsars are currently known. Young radio pulsars and radio-quiet neutron stars cannot be covered by the usually-applied radio pulse timing technique. However, finding substellar companions around these neutron stars would be of great interest – not only because of the companion’s possible exotic formation but also due to the potential access to ...

  One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...

due to the quick growth of the world wide web, retrieval of useful informationfrom the internet for a particular web user or a group of users becomes verydifficult. recommendation systems using web usage mining help providing anadaptive web environment for the web users. this paper presents a novel approachfor page recommendation using fuzzy association rule mining algorithm. thismethod extract...

Current electronic commerce recommendation system is designed for single electronic commerce website and current recommendation technologies have obvious deficiencies Centralized recommendation systems can not resolve the contradiction between high recommendation quality and timely response, as well as that between limited recommendation range and ever rich information on the web. Distributed r...