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The feasibility of various composts to operate as sorbents for heavy metals (Cu and Zn) removal from wastewater has been evaluated. Three commercial composts obtained from municipal solid wastes (MWS), sludge sewage (SS) and poultry manure (PM) were selected as potential sorbents. Kinetic and equilibrium tests were conducted in order to assess the equilibrium conditions to remove metals from aqueous samples. For all composts, the maximum time necessary to reach the equilibrium was 240 min. The Freundlich and Langmuir isotherm models were found to fit the sorption data. The SS compost proved to be the one with highest removal capability for both assessed metals, while MWS compost showed to be the less suitable for this purpose. These results can be explained in terms of the compost surface properties, namely, with the cation exchange capacity.

We have been witnessing a rapid explosion of video data in richer and broader widely accessed media spaces. Video itself is a very rich medium, including pictures, text and audio that change in time. This richness makes these information spaces very interesting, allowing the communication of huge amounts of information and an excellent platform for creativity to be expressed and explored, but it comes with a challenging complexity to handle. Visualization techniques can help to handle the complexity and to express the richness in these information spaces.This paper presents an interactive environment to visualize and explore a video space with a semantic focus on cultural aspects, and stressing features such as their color dominance, rhythm and movement, at the level of the video space and the individual videos. It allows to capture, experience, and express videos' properties and relations, providing the means to gain new insights into our culture and to influence the expression of its intrinsic aesthetics in creative ways.

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