Bott, O. ., Dresing, K. ., Wagner, M. ., Raab, B.-W. ., & Teistler, M. . (2011). Informatics in Radiology: Use of a C-Arm Fluoroscopy Simulator to Support Training in Intraoperative Radiography. RadioGraphics, 31, E65-E75. http://doi.org/10.1148/rg.313105125
Barney, S. ., Khurum, M. ., Petersen, K. ., Unterkalmsteiner, M. ., & Jabangwe, R. . (2011). Improving students with rubric-based self-assessment and oral feedback. IEEE Transactions on Education, 55, 319–325.
Faber, P. D.-I. T. ., Hansen, K. ., & Klinke, L. . (2010). Erste Richtlinie für den Weiterbetrieb von Windenergieanlagen veröffentlicht. Erneuerbare Energien, 1. (Original work published Januar 2010)
Petersen, K. . (2010). Implementing lean and agile software development in industry. Blekinge Institute of Technology Doctoral Dissertation Series, 2010.
Goecke, F. R., Labes, A. ., Wiese, J. ., & Imhoff, J. F. (2010). Chemical interactions between marine macroalgae and bacteria. Marine Ecology Progress Series, 409, 267–299. Abgerufen von http://oceanrep.geomar.de/8734/
Abstract
We review research from the last 40 yr on macroalgal?bacterial interactions. Marine macroalgae have been challenged throughout their evolution by microorganisms and have developed in a world of microbes. Therefore, it is not surprising that a complex array of interactions has evolved between macroalgae and bacteria which basically depends on chemical interactions of various kinds. Bacteria specifically associate with particular macroalgal species and even to certain parts of the algal body. Although the mechanisms of this specificity have not yet been fully elucidated, ecological functions have been demonstrated for some of the associations. Though some of the chemical response mechanisms can be clearly attributed to either the alga or to its epibiont, in many cases the producers as well as the mechanisms triggering the biosynthesis of the biologically active compounds remain ambiguous. Positive macroalgal?bacterial interactions include phytohormone production, morphogenesis of macroalgae triggered by bacterial products, specific antibiotic activities affecting epibionts and elicitation of oxidative burst mechanisms. Some bacteria are able to prevent biofouling or pathogen invasion, or extend the defense mechanisms of the macroalgae itself. Deleterious macroalgal?bacterial interactions induce or generate algal diseases. To inhibit settlement, growth and biofilm formation by bacteria, macroalgae influence bacterial metabolism and quorum sensing, and produce antibiotic compounds. There is a strong need to investigate the bacterial communities living on different coexisting macroalgae using new technologies, but also to investigate the production, localization and secretion of the biological active metabolites involved in those possible ecological interactions.
Schneemann, I. ., Nagel, K. ., Kajahn, I. ., Labes, A. ., Wiese, J. ., & Imhoff, J. F. (2010). Comprehensive Investigation of Marine Actinobacteria Associated with the Sponge Halichondria panicea. Applied and Environmental Microbiology, 76, 3702–3714. Abgerufen von http://oceanrep.geomar.de/8488/
Abstract
Representatives of Actinobacteria were isolated from the marine sponge Halichondria panicea collected from the Baltic Sea (Germany). For the first time, a comprehensive investigation was performed with regard to phylogenetic strain identification, secondary metabolite profiling, bioactivity determination, and genetic exploration of biosynthetic genes, especially concerning the relationships of the abundance of biosynthesis gene fragments to the number and diversity of produced secondary metabolites. All strains were phylogenetically identified by 16S rRNA gene sequence analyses and were found to belong to the genera Actinoalloteichus, Micrococcus, Micromonospora, Nocardiopsis, and Streptomyces. Secondary metabolite profiles of 46 actinobacterial strains were evaluated, 122 different substances were identified, and 88 so far unidentified compounds were detected. The extracts from most of the cultures showed biological activities. In addition, the presence of biosynthesis genes encoding polyketide synthases (PKSs) and nonribosomal peptide synthetases (NRPSs) in 30 strains was established. It was shown that strains in which either PKS or NRPS genes were identified produced a significantly higher number of metabolites and exhibited a larger number of unidentified, possibly new metabolites than other strains. Therefore, the presence of PKS and NRPS genes is a good indicator for the selection of strains to isolate new natural products.
Petersen, K. ., & Wohlin, C. . (2010). The effect of moving from a plan-driven to an incremental software development approach with agile practices. Empirical Software Engineering, 15, 654–693.
Petersen, K. ., & Wohlin, C. . (2010). Software process improvement through the Lean Measurement (SPI-LEAM) method. Journal of Systems and Software, 83, 1275–1287.