Previous research has reviewed the quality of online information related to specific mental disorders. Yet, no comprehensive study has been conducted on the overall quality of mental health information searched for online. This study examined the first 20 search results of two popular search engines-Google and Bing-for 11 common mental health terms. They were analyzed using the DISCERN instrume...

In the present study, we used a synthetic task environment representing an aerial wilderness search and rescue task to test and validate neurocomputational models of the human hippocampus. Participants completed two tasks: a search task, in which they searched a wooded area for multiple targets, and a route choice task, in which they searched high and low density probability regions, parametric...

In many contexts today, documents are available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also contain implicit knowledge that can be found by text mining. In this paper we will study association rule mining of temporal document collections, and extend previous work within the area by 1) performing mining based on seman...

Content Based Image Retrieval (CBIR) is an interesting and most emerging field in the area of ‘Image Search’, in which similar images for the given query image searched from the image database. Current systems use color, texture and shape information for image retrieval. In this paper wepropose a method in which both color and texturefeatures of the images are used to improve the retrieval resu...

The most important knowledge in the area of biology currently consists of raw text documents. Bibliographic databases of biomedical articles can be searched, but an efficient procedure should evaluate the relevance of documents to biology. In genetics, this challenge is even trickier, because of the lack of consistency in genes' naming tradition. We aim to define a good approach for collecting ...