background: dicrocoelium dendriticum, a liver trematode of herbivores, and man is very prevalent among ruminants of iran, resulting in causing significant economic losses. recently its phenotype polymorphism has been found in iran, a phenomenon that may affect the protein profile of the parasite. objectives: the aim of this study was to determine the somatic protein profiles of d.dendriticum in...

We examine techniques that \discover" features in sets of pre{categorized documents, such that similar documents can be found on the World Wide Web. First, we examine techniques which will classify training examples with high accuracy, then explain why this is not necessarily useful. We then describe a method for extracting word clusters from the raw document features. Results show that the clu...

Application virtual memory footprints are growing rapidly in all systems from servers down to smartphones. To address this demand, system integrators incorporating ever larger amounts of main memory, warranting rethinking management. In current systems, applications produce page fault exceptions whenever they access regions that not backed by a physical page. As application grow, induce more an...

Unexpected events such as accidents, natural disasters and terrorist attacks represent an information situation where it is essential to give users access to important and non-redundant information as fast as possible. In this paper, we introduce SeqCluSum, a temporal summarization system which combines sequential clustering to cluster sentences and a contextual importance measurement to weight...

Detecting various sentence-level events from multiple webpages can be important in finding knowledge. We propose an event detection method based on comprehensive dimension matching and co-occurrence constraint. First, we detect events from a single webpage by clustering co-reference sentence-level event mentions. These events are considered as co-occurrence events in every single webpage. Secon...

To make real Web information more machine processable, this paper presents a new approach to intra-page and inter-page semantic analysis of Web pages. Our approach consists of Web pages structure analysis and semantic clustering for intra-page semantic analysis, and machine learning based link semantic analysis for inter-page analysis. Based on the automatic repetitive patterns discovery in str...