Mujtaba, S. ., Feldt, R. ., & Petersen, K. . (2010). Waste and lead time reduction in a software product customization process with value stream maps. In 2010 21st australian software engineering conference (S. 139–148).
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.
Ferrari, R. ., Sudmann, O. ., Henke, C. ., Geisler, J. ., Schäfer, W. ., & Madhavji, N. . (2010). Requirements and Systems Architecture Interaction in a Prototypical Project: Emerging Results. In R. . Wieringa & A. . Persson (Hrsg.), Requirements Engineering: Foundation for Software Quality, Lecture Notes in Computer Science (Bd. 6182, S. 23–29). Berlin, Heidelberg: Springer. http://doi.org/10.1007/978-3-642-14192-8_4
Nagel, K. ., Schneemann, I. ., Kajahn, I. ., Wiese, J. ., Labes, A. ., & Imhoff, J. F. (2010). Pseudomonads in association with Saccharina latissima ? evidence of a beneficial interaction in marine environments?. In International VAAM-Workshop "Biology of bacteria producing natural products". Abgerufen von http://oceanrep.geomar.de/10252/
Baca, D. ., & Petersen, K. . (2010). Prioritizing countermeasures through the countermeasure method for software security (CM-Sec). In International Conference on Product Focused Software Process Improvement (S. 176–190).
Labes, A. ., Klotz, H. ., Schneemann, I. ., & Imhoff, J. F. (2010). Efficient screening for secondary metabolites in marine fungi using biosynthetic genes. In CEBITEC Symposium. Abgerufen von http://oceanrep.geomar.de/10245/
Sondermann-Wölke, C. ., Geisler, J. ., & Sextro, W. . (2010). Increasing the reliability of a self-optimizing railway guidance system. In Proceedings - Annual Reliability and Maintainability Symposium (RAMS) (S. 1–6). San Jose, CA. http://doi.org/10.1109/RAMS.2010.5448080
Labes, A. . (2010). Schätze aus dem Ozean: Neue Naturstoffe aus marinen Mikroorganismen. In 1. Life Science Conference der analytic jena. Abgerufen von http://oceanrep.geomar.de/10226/
Brandenburg, M. ., & Seuring, S. . (2010). A model for quantifying impacts of supply chain cost and working capital on the company value. In Advanced Manufacturing and Sustainable Logistics. IHNS 2010. Lecture Notes in Business Information Processing. Berlin, Heidelberg: Springer. http://doi.org/10.1007/978-3-642-12494-5_10
Abstract
Supply Chain Management (SCM) is identified and accepted as a competitive advantage. Nevertheless holistic approaches for value-based SCM to leverage this advantage in a value adding way are missing so far. Efficient approaches to quantify and compare value contributions from Supply Chain (SC) value drivers are needed. This paper contributes to this need by proposing a model to efficiently quantify and compare value contributions from SC cost and working capital, that affect the profitability and asset performance. Properties and characteristics of the model, which is based on the Discounted Cash Flow concept, are illustrated by an industrial example of a single company. In this example, the relevance of timing and continuity of developments of SC cost and working capital for value creation is pointed out.