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Offshore wind has the potential of becoming an important pillar of the future European energy system. It can contribute to policy objectives on climate change, energy security, green growth and social progress. However, the large potential of offshore wind does not automatically lead to a large share in future energy systems; neither does the emergent stage of development of the technology. Recent insights in innovation studies suggest that the success chances of technological innovations are, to a large extent, determined by how the surrounding system-the innovation system-is built up and how it functions. In this paper we assess the offshore wind innovation systems of four countries: Denmark, the UK, the Netherlands and Germany with the objective to provide recommendations for strengthening the overall European offshore wind innovation system. We use the Technological Innovation System (TIS) approach to analyse the system in 2011. Based on the analysis we identify a number of challenges that the European offshore wind sector faces. Some of them include: a serious deficiency of engineers; fragmented policies and poor alignment of national regulatory frameworks; cost of the technology and limited grid infrastructure. Since the problems hinder the entire system development we call for a systemic policy instrument that would support the innovation system around this technology and contribute to its wider diffusion in Europe.

This paper investigates the impact of scientific relatedness on knowledge dynamics in biotech at the city level during the period 1989-2008. We assess the extent to which the emergence of new research topics and the disappearance of existing topics in cities are dependent on their degree of scientific relatedness with existing topics in those cities. We make use of the rise and fall of title words in scientific publications in biotech to identify major cognitive developments within the field. We determined the degree of relatedness between 1028 scientific topics in biotech by means of co-occurrence of pairs of topics in journal articles. We combined this relatedness indicator between topics in biotech with the scientific portfolio of cities (i.e. the topics on which they published previously) to determine how cognitively close a potentially new topic (or an existing topic) is to the scientific portfolio of a city. We analyzed knowledge dynamics at the city level by looking at the entry and exit of topics in the scientific portfolio of 276 cities in the world. We found strong and robust evidence that new scientific topics in biotech tend to emerge systematically in cities where scientifically related topics already exist, while existing scientific topics had a higher probability to disappear from a city when these were weakly related to the scientific portfolio of the city.

Kinetic characterization and X-ray structure of a mutant of haloalkane dehalogenase with higher catalytic activity and modified substrate range Schanstra, Joost P.; Ridder, Ivo S.; Heimeriks, Gaston J.; Rink, Rick; Poelarends, Gerrit; Kalk, Kor H.; Dijkstra, Bauke W.; Janssen, Dick IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document VersionPublisher's PDF, also known as Version of record Publication date : 1996 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Schanstra, J. P., Ridder, I. S., Heimeriks, G. J., Rink, R., Poelarends, G. J., Kalk, K. H., ... Janssen, D. B. (1996). Kinetic characterization and X-ray structure of a mutant of haloalkane dehalogenase with higher catalytic activity and modified substrate range. Biochemistry, 35(40), 13186-13195. DOI: 10.1021/bi961151a Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. ABSTRACT: Conversion of halogenated aliphatics by haloalkane dehalogenase proceeds via the formation of a covalent alkyl-enzyme intermediate which is subsequently hydrolyzed by water. In the wild type enzyme, the slowest step for both 1,2-dichloroethane and 1,2-dibromoethane conversion is a unimolecular enzyme isomerization preceding rapid halide dissociation. Phenylalanine 172 is located in a helixloop-helix structure that covers the active site cavity of the enzyme, interacts with the Cl of 1,2-dichloroethane during catalysis, and could be involved in stabilization of this helix-loop-helix region of the cap domain of the enzyme. To obtain more information about the role of this residue in dehalogenase function, we performed a mutational analysis of position 172 and studied the kinetics and X-ray structure of the Phe172Trp enzyme. The Phe172Trp mutant had a 10-fold higher k cat /K m for 1-chlorohexane and a 2-fold higher k cat for 1,2-dibromoethane than the wild-type enzyme. The X-ray structure of the Phe172Trp enzyme showed a local conformational change in the helix-loop-helix region that covers the active site. This could explain the elevated activity for 1-chlorohexane of the Phe172Trp enzyme, since it allows this large substrate to bind more easily in the active site cavity. Pre-steady-state kinetic analysis showed that the increase in k cat found for 1,2-dibromoethane conversion could be attributed to an increase in the...

Mapping of science and technology can be done at different levels of aggregation, using a variety of methods. In this paper, we propose a method in which title words are used as indicators for the content of a research topic, and cited references are used as the context in which words get their meaning. Research topics are represented by sets of papers that are similar in terms of these word-reference combinations. In this way we use words without neglecting differences and changes in their meanings. The method has several advantages, such as high coverage of publications. As an illustration we apply the method to produce knowledge maps of information science.

This study explores the worldwide spatial evolution of scientific knowledge production in biotechnology in the period 1986-2008. We employ new methodology that identifies new key topics in biotech on the basis of frequent use of title worlds in major biotech journals as an indication of new cognitive developments within this scientific field. Our analyses show that biotech is subject to a path-and placedependent process of knowledge production. We observed a high degree of reoccurrences of similar key topics in biotech in consecutive years. Furthermore, slow growth cities in biotech are characterized by topics that are less technologically related to other topics, while high growth cities in biotech contribute to topics that are more related to the entire set of existing topics. Slow growth and stable growth cities in biotech introduced more new topics, while fast growth cities in biotech introduced 2 more promising topics. Slow growth cities also showed low levels of research collaboration, as compared to stable and high growth cities.

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Using data on all scientific publications from the Scopus database, we find a superlinear scaling effect for U.S. metropolitan areas as indicated by the increase of per capita publication output with city size. We also find that the variance of residuals is much higher for mid-sized cities (100,000 to 500,000 inhabitants) compared to larger cities. The latter result is indicative of the critical mass required to establish a scientific center in a particular discipline. Finally, we observe that the largest cities publish much less than the scaling law would predict, indicating that the largest cities are relatively unattractive locations for scientific research.