Arachidonic acid-induced calcium signalling in human airway smooth muscle cells

Until now computer-assisted parasite identification was based on database applications requiring data specification on an individual basis, thus limiting the ability of the system to handle rule-based knowledge as humans are used to do. A new Expert PArasite IdentificatiON (EPAION: Greek term for expert) system was developed to serve as an interface between the database and the user, where the database is a repository for bionomic and morphological facts about the parasites for the expert system. The system was developed by using a logic-based computer language which allows the definition of rules and facts to assist the creation of queries to the database. The components of the system are the knowledge base, the multimedia data base, the inference mechanism, and the graphical user interface. The operational modules of the system are the Parasite Identifier and the system Utilities. This expert system facilitates knowledge incorporation in a manner simulating the natural mental process, thus allowing the checking of the accuracy of the information that the user feeds to the computer and the creation of intelligent queries to the database. These characteristics accelerate focusing and optimize the parasite identification scheme regardless of the user's profile of competency.