(Betreuer: Lexer) Rechenmacher, A. (2016): GIS based analysis of suitable areas of forest growth in the [...] Mitbetreuer: Vacik) Thapa Magar, S.K. (2009): Community Based Forest Enterprise : A Pro-poor initiative (Case [...] with the EU Water Framework Directive: an Ontology based approach. (Betreuer u. Begutachter: Vacik) Karki
capabilities of the software. One developed module based in the field of wastewater treatment, is the Wetland [...] treatment wetlands (SSF TW). With this model a process based understanding of the processes happening within [...] filter systems used within the framework of natural based solutions (NBS) to reactivate the local water cycle
and design recommendations for ground- and pot-based climbing-plant systems on timber façades, demonstrating [...] coupling sustainable timber construction with nature-based solutions. Systematic structure of the dissertation
re-construction of archaeal cell envelope structures based on their fundamental building principles and intrinsic [...] longevity of biomimetic synthetic bioarchitectures based on S‑layer proteins (SLPs). However, archaeal SLPs [...] 3390/genes9020089. Schuster, B. 2018. S-layer protein-based biosensors. Biosensors 8: 40. DOI:10.3390/bios8020040
range of domestic dye plant species was selected based on a literature review, and used to dye reference [...] ribbon was made in two possible colour variants, based on the analytical results and a colour comparison [...] the study of historic sources and experiments. Based on the use of natural resources, natural dyes can
and description of the different market segments based on the relevant buying characteristics of the consumers [...] socio-demographic characteristics. The results are based on a survey that was made in June 2000 on city markets [...] markets. Four consumer segments were identified, based on their psychological characteristics. In order
is on the development of indicators and process-based statistical models for the characterisation of past [...] Statistics of extremes and time series analysis Process-based machine learning and data mining Our team Assoc
