Media, ecology and conservation:using the media to protect the world's wildlife and ecosystems

The second book in The Converging World series, Media, Ecology and Conservation focuses on global connectivity and the role of new digital and traditional media in bringing people together to protect the world's endangered wildlife and conserve fragile and threatened habitats. New media offers opportunities for like-minded individuals, community groups, businesses and public organisations to learn and work cooperatively for the good of all species. One of the key themes of this book explores the important issue of how new information and communication technologies mediate the natural world, and our understanding of our place in it. By exploring the role of film, television, video, photography and the internet in animal conservation in the USA, India, Africa, Australia and the United Kingdom John Blewitt investigates the politics of media representation surrounding important controversies such as the trade in bushmeat, whaling and habitat destruction. The work and achievements of media/conservation activists are located within a cultural framework that simultaneously loves nature, reveres animals but too often ignores the uncomfortable realities of species extinction and animal cruelty.

The multiple pheromone ant clustering algorithm and its application to real world domains

The Multiple Pheromone Ant Clustering Algorithm (MPACA) models the collective behaviour of ants to find clusters in data and to assign objects to the most appropriate class. It is an ant colony optimisation approach that uses pheromones to mark paths linking objects that are similar and potentially members of the same cluster or class. Its novelty is in the way it uses separate pheromones for each descriptive attribute of the object rather than a single pheromone representing the whole object. Ants that encounter other ants frequently enough can combine the attribute values they are detecting, which enables the MPACA to learn influential variable interactions. This paper applies the model to real-world data from two domains. One is logistics, focusing on resource allocation rather than the more traditional vehicle-routing problem. The other is mental-health risk assessment. The task for the MPACA in each domain was to predict class membership where the classes for the logistics domain were the levels of demand on haulage company resources and the mental-health classes were levels of suicide risk. Results on these noisy real-world data were promising, demonstrating the ability of the MPACA to find patterns in the data with accuracy comparable to more traditional linear regression models. © 2013 Polish Information Processing Society.

Low temperature 1,1,1-trichloroethane dehydrochlorination over Pt catalysts:from model surfaces to the real world

Fast X-ray photoelectron spectroscopy reveals efficient C–Cl activation of 1,1,1-trichloroethane occurs over platinum surfaces at 150 K, and in the presence of hydrogen, sustained ambient temperature dehydrochlorination to HCl and ethane is possible over supported Pt/Al2O3 catalysts.