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Abstract:In order to define the phytotoxic potential of Salvia species a database was developed for fast and efficient data collection in screening studies of the inhibitory activity of Salvia exudates on the germination of Papaver rhoeas L. and Avena sativa L.. The structure of the database is associated with the use of algorithms for calculating the usual germination indices reported in the literature, plus the newly defined indices (Weighted Average Damage, Differential Weighted Average Damage, Germination Weighted Average Velocity) and other variables usually recorded in experiments of phytotoxicity (LC50, LC90). Furthermore, other algorithms were designed to calculate the one-way ANOVA followed by Duncan's multiple range test to highlight automatically significant differences between the species. The database model was designed in order to be suitable also for the development of further analysis based on the artificial neural network approach, using Self-Organising Maps (SOM).

We introduce CIGNOweb.it, a database of oncology resources for patients, the general public and healthcare professionals. It builds on the previous Italian cancer resource Azaleaweb and offers quality-evaluated content. It meets international bibliographic and technical standards such as the Open Archives Initiative (OAI) for web content interoperability and the Functional Requirements for Bibliographic Records (FRBR) for bibliographic description with respect to the different media, applications, and user needs. Database content is supplied in collaboration with non-profit associations, libraries and the network of Cancer Information Points that is currently being established all over Italy. Expert and customer evaluation and feedback are provided for in the system. The graphic layout has been painstakingly designed to be user-friendly for a non-expert public. CIGNOweb.it is multicentric and will in time offer health information outside the field of oncology. It is designed to become a multilingual tool to organize, optimize and access patient information produced in the languages of the "newer" European countries. It is hoped that CIGNOweb.it will support other European nations in enhancing the structure and organization of their own-language patient health information and will contribute towards making a common health information portal of the European Union a reality.

Nature conservation can be considered a social movement that proposes itself to develop or reaffirm in the society some values concerning the relationship between man and nature [1]. Conservation biology is driven by the same motivations but is distinguished from the nature conservation movement; it is a scientific discipline the aim of which is to supply a knowledge support for the decisions in the field of the biodiversity conservation management. In fact, one of the fundamental aspects in approaching the safeguarding plans is to identify the characteristics for which an area has to be object of a conservation program [2]. Nowadays biogeography stands out as a discipline of central importance for the conservation planning. They use the term 'conservation biogeography' to indicate the application of biogeography principles, theories and analyses on taxa distribution to biodiversity defense problems. Present work concerns the development of a knowledge based system for the endemic species distribution pattern identification.

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