In the previous ghost fluid methods (GFMs) developed, the focus is on the definition of ghost fluid states while the pressure and velocity in the real fluid sides are taken for granted, except for the correction made to the density at the real fluid nodes next to the interface to overcome the possible problems related to overheating. It has been found that such GFMs encounter many difficulties ...

metabolomics studies provide useful information about health and disease status. metabolite based investigations on various cancers is a powerful approach to diagnosis, prognosis and therapy of cancer diseases. recently by using advanced analytical techniques such as nmr and ms and its hyphenation methods, global metabolic profiling of diseases has been possible. it is predictable that internat...

Abstract Efficient and economical production in shale reservoirs requires specific knowledge techniques to characterize the fracture network, which consists of both large hydraulic fractures natural fractures. Current research mainly focuses on part, while characterizing is relatively rare due complexity uncertainties distribution reservoirs. This paper proposed a numerical method for this comp...

this project aims at collecting and cataloging the information pertaining to the research projects and documents concerning water resource. the data collected along with abstracts were entered into worksheets in compliance with us- marc bibliographic format. they were fed into the computer following the necessary validation process. so far more than 5000 documents (proceedings, research report,...

Correctness verification of query results is a significant challenge in database outsourcing. Most of the proposed approaches impose high overhead, which makes them impractical in real scenarios. Probabilistic approaches are proposed in order to reduce the computation overhead pertaining to the verification process. In this paper, we use the notion of trust as the basis of our probabilistic app...

The database model presented in this paper is suitable for application in which queries may require non-crisp references to certain attributes. The data item (attribute) values may be crisp or fuzzy. For instance, such adjectives as 'high' or 'normal' may be attribute values for the attribute blood pressure. A disease or a condition can be described by a number of symptoms which may be crisp al...