ôbjective: ït is well known that tobacco smoking is a major preventable cause of morbidity and mortality. üse of smokeless tobacco such as paan, nass, gutka, and tumbaku is common in south and southeast âsia but not in ïran, where it is not considered as a normal cultural habit. methods: â cross-sectional study was carried out in five colleges of sistan baloochestan, the southeastern province o...

Rather than a document that is constantly being written as in the wiki approach, the Living Document (LD) is a document that also acts as a document router, operating by means of structured and organized social tagging and using existing ontologies. It offers an environment where users can manage papers and related information, share their knowledge with their peers and discover hidden associat...

During the last decades, Mediterranean freshwater ecosystems, especially lakes, have been under severe pressure due to increasing eutrophication and water quality deterioration. In this article, we compared the effectiveness of different data analysis methods by assessing the contribution of environmental parameters to eutrophication processes. For this purpose, principal components analysis (P...

We consider a large number of users consuming services through Internet. When a problem occurs within the network, a large number of users perceive a quality degradation while a few number of them perceive it if the cause lies on user gateway or in the last mile. This paper describes how users can locally determine the impact of the problem. This is achieved by organizing users within a logical...

We combined a novel associations strength ranking algorithm and an unsupervised Self Organizing Maps technique to cluster free associations. We tested the algorithm on 171 seed terms and showed a very good clustering performance. The algorithm suggests a linkage between the two biggest known databases the human mind and the Internet. The cluster labels can be used as highly informative aspects ...

This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interconnections, self-organizing processing elements (PE), and probabilistic synaptic transmission. Each PE in the network dynamically estimates its output value from the observed input data distribution and remembers the s...

The continuous growth in the size and use of the Internet is creating difficulties in the search for information. A sophisticated method to organize the layout of the information and assist user navigation is therefore particularly important. In this paper, we evaluate the feasibility of using a self-organizing map (SOM) to mine web log data and provide a visual tool to assist user navigation. ...