Publikationen

2015

• Operationalizing the requirements selection process with study selection procedures from systematic literature reviews

  Petersen, K., & Bin Ali, N. (2015). Operationalizing the requirements selection process with study selection procedures from systematic literature reviews. In Joint Proceedings of REFSQ-2015 Workshops, Research Method Track, and Poster Track co-located with the 21st International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2015), Essen, Germany, March 23, 2015 (Bd. 1342, S. 102–113).

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Conference Paper
  • • Kai Petersen
    • Nauman Bin Ali

• Genehmigungsverfahren von Offshore- Windenergieanlagen in Deutschland und Dänemark

  Faber, P. D.-I. T., & Badri-Höher, S. (2015). Genehmigungsverfahren von Offshore- Windenergieanlagen in Deutschland und Dänemark.

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    • Faber, Torsten

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  • 2015
  • Report
  • • Prof. Dr.-Ing. Torsten Faber
    • S. Badri-Höher
  • • WETI

• Nature s Lab for Derivatization: New and Revised Structures of a Variety of Streptophenazines Produced by a Sponge-Derived Streptomyces Strain

  Kunz, A. L., Labes, A., Wiese, J., Bruhn, T., Bringmann, G., & Imhoff, J. F. (2015). Nature s Lab for Derivatization: New and Revised Structures of a Variety of Streptophenazines Produced by a Sponge-Derived Streptomyces Strain, Online-Ressource.

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  • 2015
  • Journal Article
  • • Anna Kunz
    • Antje Labes
    • Jutta Wiese
    • Torsten Bruhn
    • Gerhard Bringmann
    • Johannes Imhoff

• An elicitation instrument for operationalising GQM+ Strategies (GQM+ S-EI)

  Petersen, K., Gencel, C., Asghari, N., & Betz, S. (2015). An elicitation instrument for operationalising GQM+ Strategies (GQM+ S-EI). Empirical Software Engineering, 20, 968–1005.

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Journal Article
  • • Kai Petersen
    • Cigdem Gencel
    • Negin Asghari
    • Stefanie Betz

• Optimisation of the Concept of a Hydraulic-Pneumatic Flywheel System in a Wind Turbine Rotor

  Jauch, C., & Hippel, S. (2015). Optimisation of the Concept of a Hydraulic-Pneumatic Flywheel System in a Wind Turbine Rotor. 14th Wind Integration Workshop. http://doi.org/10.13140/RG.2.1.2424.1365

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    • Jauch, Clemens

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  • 2015
  • Conference Proceedings
  • • Prof. Dr. Clemens Jauch
    • S. Hippel
  • • WETI

• Using citation behavior to rethink academic impact in software engineering

  Poulding, S., Petersen, K., Feldt, R., & Garousi, V. (2015). Using citation behavior to rethink academic impact in software engineering. In 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) (S. 1–4).

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Conference Paper
  • • Simon Poulding
    • Kai Petersen
    • Robert Feldt
    • Vahid Garousi

• Remote Sensing for Wind Energy

  Peña, A., Hasager, C. B., Badger, M., Barthelmie, R. J., Bingöl, F., Cariou, J.-P., … Wagner, R. (2015). Remote Sensing for Wind Energy. Denmark: DTU Wind Energy. Abgerufen von https://orbit.dtu.dk/en/publications/remote-sensing-for-wind-energy-4

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    • Schlipf, David

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  • 2015
  • Book
  • • Alfredo Peña
    • Charlotte Hasager
    • Merete Badger
    • Rebecca Barthelmie
    • Ferhat Bingöl
    • Jean-Pierre Cariou
    • Stefan Emeis
    • Sten Frandsen
    • Michael Harris
    • Ioanna Karagali
    • S\oren Larsen
    • Jakob Mann
    • Torben Mikkelsen
    • Mark Pitter
    • Sara Pryor
    • Ameya Sathe
    • David Schlipf
    • Chris Slinger
    • Rozenn Wagner

• Guidelines for conducting systematic mapping studies in software engineering: An update

  Petersen, K., Vakkalanka, S., & Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64, 1–18.

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Journal Article
  • • Kai Petersen
    • Sairam Vakkalanka
    • Ludwik Kuzniarz

• Prototype Design of an Energy-efficient Guyed Tubular. Steel Tower Concept for Wind Turbines targeting 50% savings in Steel and associated CO2 Emissons

  Faber, P. D.-I. T., & Rudolf, R. (2015). Prototype Design of an Energy-efficient Guyed Tubular. Steel Tower Concept for Wind Turbines targeting 50% savings in Steel and associated CO2 Emissons.

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    • Faber, Torsten

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  • 2015
  • Report
  • • Prof. Dr.-Ing. Torsten Faber
    • R. Rudolf
  • • WETI

• Proteomic Analysis of Anti-Cancerous Scopularide Production by a Marine Microascus brevicaulis Strain and Its UV Mutant

  Kramer, A., Beck, H. C., Kumar, A., Kristensen, L. P., Imhoff, J. F., & Labes, A. (2015). Proteomic Analysis of Anti-Cancerous Scopularide Production by a Marine Microascus brevicaulis Strain and Its UV Mutant. PLoS ONE, 10, e0140047. Abgerufen von http://oceanrep.geomar.de/30275/

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  The marine fungus Microascus brevicaulis strain LF580 is a non-model secondary metabolite producer with high yields of the two secondary metabolites scopularides A and B, which exhibit distinct activities against tumour cell lines. A mutant strain was obtained using UV mutagenesis, showing faster growth and differences in pellet formation besides higher production levels. Here, we show the first proteome study of a marine fungus. Comparative proteomics were applied to gain deeper understanding of the regulation of production and of the physiology of the wild type strain and its mutant. For this purpose, an optimised protein extraction protocol was established. In total, 4759 proteins were identified. The central metabolic pathway of strain LF580 was mapped using the KEGG pathway analysis and GO annotation. Employing iTRAQ labelling, 318 proteins were shown to be significantly regulated in the mutant strain: 189 were down- and 129 upregulated. Proteomics are a powerful tool for the understanding of regulatory aspects: The differences on proteome level could be attributed to limited nutrient availability in the wild type strain due to a strong pellet formation. This information can be applied for optimisation on strain and process level. The linkage between nutrient limitation and pellet formation in the non-model fungus M. brevicaulis is in consensus with the knowledge on model organisms like Aspergillus niger and Penicillium chrysogenum

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  • 2015
  • Journal Article
  • • Annemarie Kramer
    • Hans Beck
    • Abhishek Kumar
    • Lars Kristensen
    • Johannes Imhoff
    • Antje Labes
  • • Mutant strains
    • Proteomes
    • Protein extraction
    • Enzyme regulation
    • Fungi
    • Cell disruption
    • Protein metabolism
    • Biosynthesis