Publikationen

2015

• Detection of wind evolution and lidar trajectory optimization for lidar-assisted wind turbine control

  Schlipf, D., Haizmann, F., Cosack, N., Siebers, T., & Cheng, P. W. (2015). Detection of wind evolution and lidar trajectory optimization for lidar-assisted wind turbine control. Meteorologische Zeitschrift, 24, 565–579. http://doi.org/10.1127/metz/2015/0634 (Original work published 2025)

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    • Schlipf, David

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  • 2015
  • Journal Article
  • • David Schlipf
    • Florian Haizmann
    • Nicolai Cosack
    • Tom Siebers
    • Po Cheng

• Collective pitch feedforward control of floating wind turbines using Lidar

  Schlipf, D., Simley, E., Lemmer, F., Pao, L., & Cheng, P. W. (2015). Collective pitch feedforward control of floating wind turbines using Lidar. Journal of Ocean and Wind Energy, 2, 223–230. http://doi.org/10.17736/jowe.2015.arr04 (Original work published 2025)

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    • Schlipf, David

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  • 2015
  • Journal Article
  • • David Schlipf
    • Eric Simley
    • Frank Lemmer
    • Lucy Pao
    • Po Cheng

• Capacity-Delay-Error Boundaries: A Composable Model of Sources and Systems

  Fidler, M., Lübben, R., & Becker, N. (2015). Capacity-Delay-Error Boundaries: A Composable Model of Sources and Systems. IEEE Trans. Wireless Commun., 14, 1280–1294. http://doi.org/10.1109/TWC.2014.2365782 (Original work published 2025)

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    • Lübben, Ralf

  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2015
  • Journal Article
  • • Markus Fidler
    • Ralf Lübben
    • Nico Becker

• Sustainable supply chain management: a modeling perspective

  Brandenburg, M., & Rebs, T. (2015). Sustainable supply chain management: a modeling perspective, 229(1), 213–252,. http://doi.org/10.1007/s10479-015-1853-1

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  Nowadays, the integration of sustainability into supply chain management (SCM) is a key issue for ensuring corporate competitiveness in face of dynamic ecological and social environments. This paper reviews 185 journal publications of the last 20 years that formalize issues related to sustainable supply chain management (SSCM) in quantitative models. In a content analysis, modeling and SCM characteristics as well as sustainability and SSCM constructs are elaborated. The models are assessed numerically by counting frequencies of occurrence and by clustering the paper sample according to selected characteristics. The findings indicate that SSCM models predominantly focus on deterministic approaches and the integration of environmental aspects of sustainability while neglecting stochastic modeling techniques and the consideration of social factors. By now, comprehensive modeling approaches are most often employed on intra-organizational levels whereas broader application areas are assessed by less complex models. The integration of pressures and incentives of external stakeholders or the formalization of sustainable supplier management and sustainability risks are identified as future research perspectives. Furthermore, the interrelationships between the triple bottom line dimensions are to be scrutinized in greater detail in order to avoid focused optimization of selected sustainability criteria. Seven modeling guidelines are derived from the reviewed literature to facilitate future model-based SSCM research.

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    • Brandenburg, Marcus

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  • 2015
  • Journal Article
  • • Marcus Brandenburg
    • Tobias Rebs

• Identification of Habitat-Specific Biomes of Aquatic Fungal Communities Using a Comprehensive Nearly Full-Length 18S rRNA Dataset Enriched with Contextual Data

  Panzer, K., Yilmaz, P., Weiß, M., Reich, L., Richter, M., Wiese, J., … Reich, M. (2015). Identification of Habitat-Specific Biomes of Aquatic Fungal Communities Using a Comprehensive Nearly Full-Length 18S rRNA Dataset Enriched with Contextual Data. PLoS ONE, 10, e0134377. Abgerufen von http://oceanrep.geomar.de/29516/

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  Molecular diversity surveys have demonstrated that aquatic fungi are highly diverse, and that they play fundamental ecological roles in aquatic systems. Unfortunately, comparative studies of aquatic fungal communities are few and far between, due to the scarcity of adequate datasets. We combined all publicly available fungal 18S ribosomal RNA (rRNA) gene sequences with new sequence data from a marine fungi culture collection. We further enriched this dataset by adding validated contextual data. Specifically, we included data on the habitat type of the samples assigning fungal taxa to ten different habitat categories. This dataset has been created with the intention to serve as a valuable reference dataset for aquatic fungi including a phylogenetic reference tree. The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.The combined data enabled us to infer fungal community patterns in aquatic systems. Pairwise habitat comparisons showed significant phylogenetic differences, indicating that habitat strongly affects fungal community structure. Fungal taxonomic composition differed considerably even on phylum and class level. Freshwater fungal assemblage was most different from all other habitat types and was dominated by basal fungal lineages. For most communities, phylogenetic signals indicated clustering of sequences suggesting that environmental factors were the main drivers of fungal community structure, rather than species competition. Thus, the diversification process of aquatic fungi must be highly clade specific in some cases.

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  • 2015
  • Journal Article
  • • Katrin Panzer
    • Pelin Yilmaz
    • Michael Weiß
    • Lothar Reich
    • Michael Richter
    • Jutta Wiese
    • Rolf Schmaljohann
    • Antje Labes
    • Johannes Imhoff
    • Frank Glöckner
    • Marlis Reich
  • • Habitats
    • Fungal genetics
    • Phylogenetics
    • Fungi
    • Fungal structure
    • Fresh water
    • Phylogenetic analysis
    • Ribosomal RNA

• A conceptual framework of challenges and solutions for managing global software maintenance

  Ulziit, B., Warraich, Z. A., Gencel, C., & Petersen, K. (2015). A conceptual framework of challenges and solutions for managing global software maintenance. Journal of Software: Evolution and Process, 27, 763–792.

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    • Petersen, Kai

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    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2015
  • Journal Article
  • • Bayarbuyan Ulziit
    • Zeeshan Warraich
    • Cigdem Gencel
    • Kai Petersen

• Lindgomycin, an Unusual Antibiotic Polyketide from a Marine Fungus of the Lindgomycetaceae

  Wu, B., Wiese, J., Labes, A., Kramer, A., Schmaljohann, R., & Imhoff, J. F. (2015). Lindgomycin, an Unusual Antibiotic Polyketide from a Marine Fungus of the Lindgomycetaceae. Marine Drugs, 13, 4617–4632. Abgerufen von http://oceanrep.geomar.de/29518/

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  An unusual polyketide with a new carbon skeleton, lindgomycin (1), and the recently described ascosetin (2) were extracted from mycelia and culture broth of different Lindgomycetaceae strains, which were isolated from a sponge of the Kiel Fjord in the Baltic Sea (Germany) and from the Antarctic. Their structures were established by spectroscopic means. In the new polyketide, two distinct domains, a bicyclic hydrocarbon and a tetramic acid, are connected by a bridging carbonyl. The tetramic acid substructure of compound 1 was proved to possess a unique 5-benzylpyrrolidine-2,4-dione unit. The combination of 5-benzylpyrrolidine-2,4-dione of compound 1 in its tetramic acid half and 3-methylbut-3-enoic acid pendant in its decalin half allow the assignment of a new carbon skeleton. The new compound 1 and ascosetin showed antibiotic activities with IC50 value of 5.1 ($\pm$0.2) ?M and 3.2 ($\pm$0.4) \ensuremath\muM, respectively, against methicillin-resistant Staphylococcus aureus.

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  • 2015
  • Journal Article
  • • Bin Wu
    • Jutta Wiese
    • Antje Labes
    • Annemarie Kramer
    • Rolf Schmaljohann
    • Johannes Imhoff
  • • MRSA
    • antibiotic
    • lindgomycin
    • marine fungi
    • marine natural products

• Template Engines für C# im Vergleich

  Richter, S., & Cordts, S. (2015). Template Engines für C# im Vergleich. windows.developer.

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  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2015
  • Journal Article
  • • Sebastian Richter
    • Sönke Cordts

• 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

• Low carbon supply chain configuration for a new product – a goal programming approach

  Brandenburg, M. (2015). Low carbon supply chain configuration for a new product – a goal programming approach. International Journal of Production Research, 53, 6588–6610. http://doi.org/10.1080/00207543.2015.1005761

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  Green supply chain management and product innovation both have become sources of competitive advantage for companies from different industries. However, research on the configuration of green supply chains for new products represents a comparably new trend. In this paper, a goal programming approach is suggested to optimise the supply chain (SC) configuration for a new consumer product under consideration of economic and environmental criteria. The approach is illustrated by the case example of a fast moving consumer goods manufacturer. In this context, trade-offs between the ecologic factor of carbon emission, on the one hand, and financial value creation and customer service level on the other hand, are assessed in the deterministic analyses. The influence of long-term demand uncertainties is modelled in a scenario approach. It is observed that decentralised SC configurations enable carbon emission reduction without deteriorating the economic SC performance. Furthermore, it is detected that a focused economic optimisation strongly amplifies negative environmental impacts of demand uncertainties.

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    • Brandenburg, Marcus

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  • 2015
  • Journal Article
  • • Marcus Brandenburg