Abstract: A method for detecting the presence of liquids includes detecting an initial temperature in a channel accommodating a liquid; heating the channel for a pre-determined test time; detecting a test temperature; determining a temperature variation on the basis of the initial temperature, the test temperature, and the test time; and comparing the temperature variation with at least one threshold. Before detecting an initial temperature, an ambient temperature is read, the channel is heated to the initial temperature, and is kept at the initial temperature for a time period.

Abstract: A method for automatic analysis of genomic information in order to determine relationships among genes allows one to determine complex relationships among genes. First a clustering algorithm is chosen and is applied to the table, obtaining sub-tables of data relative to groups of genes that satisfy the chosen clustering criterion. Therefore, all possible combinations of pair of sub-tables are generated and characteristic parameters are calculated for genes contained in these sub-tables. Finally, for each combination a characteristic value is calculated with a decision algorithm defined in function of these parameters, by considering the genes of the combination as constituting a “Gene Network” if this characteristic value exceeds a pre-defined threshold. The method is preferably is implemented by a relative system of identification of groups of co-expressed and co-regulated genes comprising an intelligent fuzzy sub-system trained off-line identified by a neural network.

Abstract: A method for automatic analysis of genomic information in order to determine relationships among genes allows one to determine complex relationships among genes. First a clustering algorithm is chosen and is applied to the table, obtaining sub-tables of data relative to groups of genes that satisfy the chosen clustering criterion. Therefore, all possible combinations of pair of sub-tables are generated and characteristic parameters are calculated for genes contained in these sub-tables. Finally, for each combination a characteristic value is calculated with a decision algorithm defined in function of these parameters, by considering the genes of the combination as constituting a “Gene Network” if this characteristic value exceeds a pre-defined threshold. The method is preferably is implemented by a relative system of identification of groups of co-expressed and co-regulated genes comprising an intelligent fuzzy sub-system trained off-line identified by a neural network.