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2013

A decision support framework for metrics selection in goal-based measurement programs: GQM-DSFMS

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.
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Petersen, Kai

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research
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2013

Journal Article

Cigdem Gencel

Kai Petersen

Aftab Mughal

Muhammad Iqbal

2012

Beneficial effects of 2,4-diacetylphloroglucinol- producing pseudomonads on the marine alga Saccharina latissima

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.
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2012

Journal Article

Kerstin Nagel

Imke Schneemann

Inga Kajahn

Antje Labes

Jutta Wiese

Johannes Imhoff

Pseudomonas protegens ? Alga?bacteria association ? 2

4-diacetylphloroglucinol ? Pyoluteorin ? Rhizoxin ? Brown macroalgae

RESISTANT STAPHYLOCOCCUS-AUREUS

FLUORESCENT PSEUDOMONAS

LAMINARIA-SACCHARINA

SECONDARY METABOLITES

IN-VITRO

BACTERIA

PF-5

JAPONICA

STRAINS

AGENT
Advanced controller research for multi-MW wind turbines in the UpWind project

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)
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Schlipf, David
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2012

Journal Article

E. Bossanyi

B. Savini

M. Iribas

M. Hau

B. Fischer

David Schlipf

T. van Engelen

M. Rossetti

C. Carcangiu
Bacteria associations with co-occurring macroalgae: Host, epiphyte and environmental factors

Goecke, F. R., Labes, A., Wiese, J., & Imhoff, J. F. (2012). Bacteria associations with co-occurring macroalgae: Host, epiphyte and environmental factors. European Journal of Phycology, 46, 45–50. Abgerufen von http://oceanrep.geomar.de/19586/

Abstract

Bacteria associated with 2 macroalgae growing in the Kiel Fjord (Baltic Sea) were investigated seasonally over two years by scanning electron microscopy and cultivation methods. Seasonal variations and significant differences between both macroalgal species with respect to the associated bacteria were observed. 166 bacterial strains were isolated from the macroalgae and classified by phylogenetic analysis of 16S rRNA gene sequences. The strains formed 82 phylotypes according to sequence similarities of499.0\%. Samples from Fucus vesiculosus revealed 43 and from Delesseria sanguinea 57 bacterial phylotypes. They affiliated to Actinobacteria, Alphaproteobacteria, Bacilli, Betaproteobacteria, Flavobacteria, Gammaproteobacteria, and Sphingobacteria. Following the assumption that chemical interactions rule the bacteria-macroalga associations, we tested the biological activity of both macroalgae and isolated bacterial strains against a panel comprising standard and ecologically relevant microorganisms (Gram-positive and Gram-negative bacteria, including macroalgal pathogens and surface associated strains, and a yeast). Both macroalgae presented inhibitory activity against at least one microorganism, but overall the inhibitory activities were low. In contrast, all extracts stimulated growth of many of the tested bacteria. While growth stimulation was common concerning bacteria associated with macroalgae, no stimulation was shown for the standard set of bacteria (with exception of one case of stimulation of the plant pathogen Erwinia amylovora). Regarding the potential biological activity of microorganisms associated with macroalgae, more than 60\% of the bacterial phylotypes inhibited the growth of at least one microorganism. A higher proportion of strains showed antimicrobial activity against the set of bacteria associated with macroalgae as compared to standard set of microorganisms. Certain phylotypes are consistently found as epiphytes, suggesting their specific association with macroalgae. The presented positive and negative effects of macroalgal extracts on growth of macroalga-associated bacteria, significant bacterial activity against macroalgal pathogens and competitors, and potential degradative capabilities support the assumption that complex chemical interactions shape the bacteria-macroalga relationships.
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2012

Journal Article

Franz Goecke

Antje Labes

Jutta Wiese

Johannes Imhoff
A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis

Gerken, J. M., & Moehrle, M. G. (2012). A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis. Scientometrics, 91, 645–670.
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Gerken, Jan

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
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2012

Journal Article

Jan Gerken

Martin Moehrle
Measuring textual patent similarity on the basis of combined concepts: design decisions and their consequences

Moehrle, M. G., & Gerken, J. M. (2012). Measuring textual patent similarity on the basis of combined concepts: design decisions and their consequences. Scientometrics, 91, 805–826.
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Gerken, Jan

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
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2012

Journal Article

Martin Moehrle

Jan Gerken
Dual effect of macroalgal extracts on growth of bacteria in Western Baltic Sea

Goecke, F. R., Labes, A., Wiese, J., & Imhoff, J. F. (2012). Dual effect of macroalgal extracts on growth of bacteria in Western Baltic Sea. Revista de Biologia Marina y Oceanografia, 47, 75–86. Abgerufen von http://oceanrep.geomar.de/14347/

Abstract

It is assumed that the biological characteristics of the bacterial strains used in bioactivity tests have strong influences on their susceptibility against antibacterial compounds. Therefore, the selection of bacterial test strains may rush conclusions on the effect of macroalgal extracts and metabolites on bacteria. To proof this assumption, we have analysed the biological activities of crude extracts of 16 macroalgae from the coastal waters of Kiel Fjord (Germany), and tested their effect against a panel of 10 microorganisms comprising 5 standard test strains of bacteria and 5 macroalga-associated bacteria. Fourteen macroalgae (88\%) displayed antibacterial activity against at least one of the test strains. Despite the high proportion of extracts exhibiting antimicrobial activity, only 3 strains of the standard set were susceptible to macroalgal extracts and the overall activities were low (less than 80\% of inhibition). Most of active extracts inhibited Bacillus subtilis, while no inhibition effects were found against Erwinia amylovora, Escherichia coli, and the macroalga-associated bacteria. In contrast, all extracts produced stimulatory growth effects of at least two of the tested bacteria. While growth stimulation of standard set of bacteria was rare (22.5\% of total tests) with exception of plant pathogen Erwinia amylovora and two cases of Staphylococcus lentus, it was common among bacteria associated with macroalgae (77.5\%), especially Bacillus algicola, Pseudomonas marincola and both algal-pathogenic bacteria. This study demonstrates that macroalgal extracts can display different effects, i.e., inhibition or stimulation of bacterial growth depending on the origin of the test strains, which are derived from a standard panel or from the marine environment, respectively.
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2012

Journal Article

Franz Goecke

Antje Labes

Jutta Wiese

Johannes Imhoff

Microbiology

Marine algae

antibacterial activities

stimulation of bacterial growth

Kiel fjord
Software quality trade-offs: A systematic map

Barney, S., Petersen, K., Svahnberg, M., Aurum, A., & Barney, H. (2012). Software quality trade-offs: A systematic map. Information and software technology, 54, 651–662.
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Petersen, Kai

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research
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2012

Journal Article

Sebastian Barney

Kai Petersen

Mikael Svahnberg

Aybüke Aurum

Hamish Barney
Wirtschaftsinformatik-Textbasierte Patentinformationen

Moehrle, M. G., Gerken, J. M., & Walter, L. (2012). Wirtschaftsinformatik-Textbasierte Patentinformationen. Wirtschaftsstudium-WISU, 41, 91.
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Gerken, Jan

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Innovation und Wachstum, Nachhaltigkeit

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 4: Wirtschaft
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2012

Journal Article

Martin Moehrle

Jan Gerken

Lothar Walter
First crenarchaeal chitinase found in Sulfolobus tokodaii

Staufenberger, T., Imhoff, J. F., & Labes, A. (2012). First crenarchaeal chitinase found in Sulfolobus tokodaii. Microbiological Research, 167, 262–269. Abgerufen von http://oceanrep.geomar.de/12897/

Abstract

This is the first description of a functional chitinase gene within the crenarchaeotes. Here we report of the heterologues expression of the ORF BAB65950 from Sulfolobus tokodaii in E. coli. The resulting protein degraded chitin and was hence classified as chitinase (EC 3.2.4.14). The protein characterization revealed a specific activity of 75 mU/mg using colloidal chitin as substrate. The optimal activity of the enzyme was measured at pH 2.5 and 70 ?C, respectively. A dimeric enzyme configuration is proposed. According to amino acid sequence similarities chitinases are attributed to the two glycoside hydrolase families 18 and 19. The derived amino acid sequence of the S. tokodaii gene differed from sequences of these two glycoside hydrolase families. However, within a phylogenetic tree of protein sequences, the crenarchaeal sequence of S. tokodaii clustered in close proximity to members of the glycoside hydrolase family 18.
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2012

Journal Article

Tim Staufenberger

Johannes Imhoff

Antje Labes

Microbiology

Chitinase

Glycoside hydrolase

Crenarchaea

Protein overexpression

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