Baca, D. ., & Petersen, K. . (2013). Countermeasure graphs for software security risk assessment: An action research. Journal of Systems and Software, 86, 2411–2428.
Uzunkol, O. . (2013). Generalized class invariants with "Thetanullwerte". Turkish Journal of Mathematics, 37, 165–181. http://doi.org/10.3906/mat-1106-4
Gencel, C. ., Petersen, K. ., Mughal, A. A., & Iqbal, M. I. (2013). A decision support framework for metrics selection in goal-based measurement programs: GQM-DSFMS. Journal of Systems and Software, 86, 3091–3108.
Goecke, F. R., Labes, A. ., Wiese, J. ., & Imhoff, J. F. (2013). Phylogenetic analysis and antibiotic activity of bacteria isolated from the surface of two co-occurring macroalgae from the Baltic Sea. European Journal of Phycology, 48, 47–60. Abgerufen von http://oceanrep.geomar.de/19592/
Abstract
Bacteria associated with Fucus vesiculosus and Delesseria sanguinea, two macroalgae from the Kiel Fjord were investigated seasonally over two years by cultivation-based methods. A total of 166 bacterial strains were isolated from the macroalgae, affiliated to seven classes of bacteria (Actinobacteria, Bacilli, Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Cytophagia and Flavobacteria). According to 16S rRNA gene sequence similarities they were arranged in 82 phylotypes of\ensuremath>99.0\% sequence identity. Assuming that chemical factors rule the bacteriamacroalga and bacteriabacteria interactions on algal surfaces, we tested the antibiotic activity of the bacterial isolates not only against a panel of four standard test organisms (Bacillus subtilis, Candida glabrata, Escherichia coli and Staphylococcus lentus) but also four macroalga-associated microorganisms: Algicola bacteriolytica and Pseudoalteromonas elyakovii (macroalgal pathogens), and Bacillus algicola and Formosa algae (strains associated with algal surfaces). Organic extracts of more than 51\% of the isolates from the two macroalgae inhibited the growth of at least one of the tested microorganisms. As much as 46\% and 45\% of the isolates derived from F. vesiculosus and D. sanguinea, respectively, showed antimicrobial activity against the set of macroalga-associated bacteria, compared with 13 and 19\% against a standard set of microorganisms. High antibacterial activity against macroalgal pathogens and bacterial competitors support the assumption that complex chemical interactions shape the relationships of bacteria associated with macroalgae and suggest that these bacteria are a rich source of antimicrobial metabolites.
Baca, D. ., Carlsson, B. ., Petersen, K. ., & Lundberg, L. . (2013). Improving software security with static automated code analysis in an industry setting. Software: Practice and Experience, 43, 259–279.
Goecke, F. R., Thiel, V. ., Wiese, J. ., Labes, A. ., & Imhoff, J. F. (2013). Algae as important environment for bacteria - phylogenetic relationships among species isolated from algae. Phycologia, 52, 14–24. Abgerufen von http://oceanrep.geomar.de/19593/
Abstract
Bacteria are an inherent part of the biotic environment of algae. Recent investigations revealed that bacterial communities associated with algae were generally highly host specific. Several new bacterial species and genera were isolated from algae, which suggested that algae were an interesting environment for discovery of new bacterial taxa; however, the distribution of the different phylogenetic groups among those isolates remained unclear, and this information could help to explain specific associations. We conducted a phylogenetic study based on 16S rRNA gene sequences available in GenBank, including 101 validly described bacterial species that were isolated from eukaryotic macro- and micro-algae from marine and freshwater environments. These species were distributed among six bacterial phyla, including: Bacteroidetes (42 species), Proteobacteria (36 species), and Firmicutes, Actinobacteria, Verrucomicrobia and Planctomycetes (23 species). Bacterial species and strains that carried out similar metabolic functions were found to colonize similar algal taxa or algal groups. This assumption was supported by information available from bacterial species descriptions: (1) Most of the bacteria described from microalgae grouped into the Roseobacter clade (Alphaproteobacteria), which indicated that members of this group were well adapted for life in close association with phytoplankton; and (2) 32\% of the bacterial species, mainly isolates from macroalgae, were able to decompose macroalgal polysaccharides. Because algal-bacterial association are still under-studied in various algal groups, we expect a great number of new bacterial taxa to be discovered in the future.
Kasoju, A. ., Petersen, K. ., & Mäntylä, M. . , V. (2013). Analyzing an automotive testing process with evidence-based software engineering. Information and Software Technology, 55, 1237–1259.
Nagel, K. ., Schneemann, I. ., Kajahn, I. ., Labes, A. ., Wiese, J. ., & Imhoff, J. F. (2012). Beneficial effects of 2,4-diacetylphloroglucinol- producing pseudomonads on the marine alga Saccharina latissima. Aquatic Microbial Ecology, 67, 239–249. Abgerufen von http://oceanrep.geomar.de/19108/ (Original work published 2025)
Abstract
Pseudomonas strains were shown to be regularly associated with the brown macroalga Saccharina latissima from the Baltic Sea, studied over several years, and were identified as producers of the antimicrobially active compound 2,4-diacetylphloroglucinol. These findings support the assumption of a stable association between the Pseudomonas spp. strains and S. latissima in the Baltic Sea. The metabolite profile of the Pseudomonas spp. comprised monoacetylphloroglucinol, 2,4-diacetylphloroglucinol, pyoluteorin and several rhizoxins, which exhibited broad-spectrum antibiotic activities against Gram-positive and Gram-negative bacteria as well as against fungi. Because the antibiotic activities included the inhibition of the 2 algal pathogens Pseudoalteromonas elyakovii and Algicola bacteriolytica, we propose a beneficial effect of these marine pseudomonads on their host S. latissima.
Bossanyi, E. ., Savini, B. ., Iribas, M. ., Hau, M. ., Fischer, B. ., Schlipf, D. ., … Carcangiu, C. E. (2012). Advanced controller research for multi-MW wind turbines in the UpWind project. Wind Energy, 15, 119–145. http://doi.org/10.1002/we.523 (Original work published 2025)