Community-level physiological profiling (CLPP) analyses from very diverse environments are frequently used with the aim of characterizing the metabolic versatility of whole environmental bacterial communities. While the limitations of the methodology for the characterization of whole communities are well known, we propose that CLPP combined with high-throughput sequencing and qPCR can be utiliz...

The processes that govern diverse tropical plant communities have rarely been studied in life forms other than trees. Structurally dependent vascular epiphytes, a major part of tropical biodiversity, grow in a three-dimensional matrix defined by their hosts, but trees differ in their architecture, bark structure/chemistry and leaf phenology. We hypothesized that the resulting seasonal differenc...

In this work we report about the automatic creation of dynamic user profiles that combine personal data from diverse social networks with context information recorded by IYOUIT, a mobile community service in the field of context awareness. Data mining algorithms are applied to learn about users and their preferences over time. Rich, semantically annotated Friend of a Friend (FOAF) profiles are ...

The aim of this paper is to advance the presentation of low-level benchmarking results in the form of performance prooles, which present concisely on one or two pages the single-or multi-processor performance results. A proole consists of measured and derived performance parameters which characterise the performance of parallel computers. In order to achieve a more systematic approach to low-le...