Linköping University

About: Linköping University is a education organization based out in Linköping, Sweden. It is known for research contribution in the topics: Population & Health care. The organization has 15671 authors who have published 50013 publications receiving 1542189 citations.

Defining lean production : some conceptual and practical issues

Abstract: Purpose – The purpose of this paper is to investigate the definition of lean production and the methods and goals associated with the concept as well as how it differs from other popular management ...

Comparing Academic Entrepreneurship in Europe – The Case of Sweden and Ireland

Abstract: One of the greatest challenges facing European economies is the comparatively limited capacity to convert scientific breakthroughs and technological achievements into industrial and commercial successes. As a result, there is growing awareness of the proactive approach being undertaken by academic institutions, with many adopting a direct entrepreneurial role in collaborating with industry. This paper examines the activities of those academics involved with industry within two small European countries, namely Sweden and Ireland. In particular, it discusses and contrasts the extent to which academic entrepreneurship (i.e. all commercialisation activities outside of the normal university duties of basic research and teaching) has developed. It examines the influence of gender, age, previous entrepreneurial experience, work experience and university environment on the entrepreneurship activities of a sample of academics in both countries. The results demonstrate that there is considerable entrepreneurial experience among academics in both countries, and that this translates into a high degree of involvement in "soft" activities such as consultancy and contract research, but not into organizational creation via technology spin-offs.

Subspace-based multivariable system identification from frequency response data

Abstract: Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from frequency response data are presented. The algorithms are related to the recent time-domain subspace identification techniques. The first algorithm uses equidistantly, in frequency, spaced data and is strongly consistent under weak noise assumptions. The second algorithm uses arbitrary frequency spacing and is strongly consistent under more restrictive noise assumptions, promising results are obtained when the algorithms are applied to real frequency data originating from a large flexible structure.

Islet amyloid: a critical entity in the pathogenesis of type 2 diabetes.

Abstract: Islet amyloid deposition is a pathogenic feature of type 2 diabetes, and these deposits contain the unique amyloidogenic peptide islet amyloid polypeptide. Autopsy studies in humans have demonstrat ...