introduction: mental sets are clues which are already coded and stored in memory, and retrieved when needed. the present study investigated the role of mental sets in solving anagram problems. methods: the design of this study is an experimental with repeated measurement design. the participants were 20 ma students and graduates chosen through voluntary sampling. each of them were required to u...

In Content-Based Image Retrieval (CBIR) systems, the visual contents of the images in the database are took out and represented by multi-dimensional characteristic vectors. A well known CBIR system that retrieves images by unsupervised method known as cluster based image retrieval system. For enhancing the performance and retrieval rate of CBIR system, we fuse the visual contents of an image. R...

Antioxidant micronutrients may have chemopreventive effects. The authors examined the associations between prediagnostic blood levels of micronutrients and prostate cancer risk in two nested case-control studies of 9,804 and 10,456 male residents of Washington County, Maryland, who donated blood in 1974 (CLUE I) and 1989 (CLUE II), respectively. Until 1996, 182 men for whom adequate serum remai...

Transaction frauds impose serious threats onto e-commerce. We present CLUE, a novel deep-learning-based transaction fraud detection system we design and deploy at JD.com, one of the largest ecommerce platforms in China with over 220 million active users. CLUE captures detailed information on users’ click actions using neural-network based embedding, and models sequences of such clicks using the...

We analyze recycling decisions for bioplastics using a natural field experiment. Bioplastics have environmental benefits – such as reduced energy use in production and enhanced biodegredation compared to conventional plastics. Recycling that are not consistent with government guidelines, however, may cause rebound effect. For instance when biobased plastics contaminate organic waste streams, or...

”Semantic gap” is an open challenging problem in content-based image retrieval. It reflects the discrepancy between low-level imagery features used by the retrieval algorithm and high-level concepts required by system users. This paper introduces a novel image retrieval scheme, CLUster-based rEtrieval of images by unsupervised learning (CLUE), to tackle the semantic gap problem. CLUE is built o...