Calbistrin E and two other new metabolites from an Australian isolate of Penicillium striatisporum

An Australian isolate of Penicillium striatisporum collected near Shalvey, New South Wales, exhibited selective antifungal activity against Candida albicans versus Saccharomyces cerevisiae. Bioassay-directed fractionation yielded members of the rare class of fungal metabolites known as the calbistrins. These included a new example of this structure class, calbistrin E (1), as well as the known polyenes calbistrin C (2) and deformylcalbistrin A (3). Also recovered from P. striatisporum were new triene and butenolide acids, striatisporin A (4) and striatisporolide A (5), together with the known fungal metabolites versiol (6) and (+)-hexylitaconic acid (7). Structures for all metabolites were determined by detailed spectroscopic analysis.

Towards more personalized web: Extraction and integration of dynamic content from the Web

Information and content integration are believed to be a possible solution to the problem of information overload in the Internet. The article is an overview of a simple solution for integration of information and content on the Web. Previous approaches to content extraction and integration are discussed, followed by introduction of a novel technology to deal with the problems, based on XML processing. The article includes lessons learned from solving issues of changing webpage layout, incompatibility with HTML standards and multiplicity of the results returned. The method adopting relative XPath queries over DOM tree proves to be more robust than previous approaches to Web information integration. Furthermore, the prototype implementation demonstrates the simplicity that enables non-professional users to easily adopt this approach in their day-to-day information management routines.

Am I being treated fairly by my leaders? The roles of group identification and self-other comparisons in judgements of procedural justice

The current experiment focuses on the roles of social identity and social comparison in perceptions of procedural justice. Participants are randomly allocated to conditions in a 2 (whether the participant has the opportunity to voice an opinion), X 2 (whether the comparison other has the opportunity to voice an opinion), X 2 (whether the comparison other is an ingroup or an outgroup member), between subjects design. Participants are then asked to report the extent to which they perceive the procedure they are involved in to be fair. It is predicted that participants will have a strong feeling of procedural unfairness when they are not given an opportunity by the leader to voice their opinion, but learn that their comparison other is given that opportunity. It is also predicted that the feeling of unfairness should be stronger when the comparison other is an outgroup rather than an ingroup member. Additionally, participants receiving a fair treatment may regard the procedure as fair when their outgoup comparison other receives an unfair treatment. Results support these predictions and reveal that how people make judgments of procedural justice through social comparison is qualified by the social identities of the parties involved.

Integrating science and management through collaborative learning and better information management

Achieving more sustainable land and water use depends on high-quality information and its improved use. In other words, better linkages are needed between science and management. Since many stakeholders with different relationships to the natural resources are inevitably involved, we suggest that collaborative learning environments and improved information management are prerequisites for integrating science and management. Case studies that deal with resource management issues are presented that illustrate the creation of collaborative learning environments through systems analyses with communities, and an integration of scientific and experiential knowledge of components of the system. This new knowledge needs to be captured and made accessible through innovative information management systems designed collaboratively with users, in forms which fit the users' 'mental models' of how their systems work. A model for linking science and resource management more effectively is suggested. This model entails systems thinking in a collaborative learning environment, and processes to help convergence of views and value systems, and make scientists and different kinds of managers aware of their interdependence. Adaptive management provides a mechanism for applying and refining scientists' and managers' knowledge. Copyright (C) 2003 John Wiley Sons, Ltd.