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Growth cycles. Transformation and regional development

Departing from the renewed interest within economic history and neo-Schumpeterian perspectives on growth and economic transformation, we will suggest a theoretical framework for analyzing long term regional economic growth and transformation. Emphasis will be given to different driving forces and their various roles over time, lead-lag relations between industries and how divergence and convergenc

A ray tracing algorithm for intelligent transport systems in tunnels

It is well-known that the radio wave propagation mechanisms inside a tunnel are different from the typical outdoor and indoor situations. Since the tunnels represent a significant type of vehicular environments, understanding the channel characteristics for the in-tunnel scenario is crucial for intelligent transport systems design. A widely used tool for simulating channel characteristics for outd

Lessing, Doris

Doris Lessing (1919–2013) was one of the twentieth century's most important literary figures. She was a prolific novelist and short story writer whose varied output spanned a multitude of genres and resisted attempts at classification. Lessing was born of British parentage in Persia, moved with her family to Southern Rhodesia in 1925, and from 1949 spent most of her time in London. Lessing's first

Terpenoid Plant Metabolites - Structural Characterization and Biological Importance

Popular Abstract in English The secondary metabolites found in plants represent an extremely rich and limitless source of novel chemical diversity for drug discovery. In fact, some of the most important drugs currently in use today are derived from plants and they were discovered as a result of the study of medicinal plants used in traditional medicine. In this context, Bolivia is one of the most In response to the challenges of their local environments, organisms produce of a large number of chemical diverse compounds with complex stereochemistry and reactive functional groups. These characteristics enable them to interact and bind specifically to biological target molecules and exert various biological activities, and have assured that Natural products continues to be an important source

Knowledge-based reconfiguration of automation systems

This article describes the work in progress on knowledge-based reconfiguration of a class of automation systems. The knowledge about manufacturing is represented in a number of formalisms and gathered around an ontology expressed in OWL, that allows¨generic reasoning in Description Logic. In the same time multiple representations facilitate efficient processing by a number of special-purpose reaso

Radioimmunoimaging and Radioimmunotherapy of Prostate Cancer Preclinical evaluation of kallikrein related peptidase 2 targeting

Popular Abstract in Swedish Prostatacancer är Sveriges vanligaste cancersjukdom bland män. Många av de som diagnosticeras med prostatacancer får inga besvär men cirka 2400 män dör årligen av sjukdomen. Det finns flera behandlingsmetoder mot prostatacancer, men för kastrationsresistent prostatacancer, en avancerad form av prostatacancer, finns idag ingen botande behandling. Det utvecklas dock allt Prostate cancer is one of the major causes of cancer related deaths in men in Europe and the United States. In this doctoral thesis, radioimmunoimaging and -therapy of prostate cancer was investigated pre-clinically by targeting the human kallikrein-related peptidase 2 (hK2) with radiolabelled monoclonal antibodies. hK2 is an antigen that is over-expressed in prostatic neoplasms and is closely rel

Export av Livsmedel – Till Vilket Pris?

Exporterande företag sätter ofta olika priser på olika marknader. Traditionellt tänker man sig att det beror på att företag anpassar kvaliteten på sina produkter efter vilken marknad de säljer på. I denna studie undersöks om prisskillnaderna istället kan förklaras av att företag aktivt sätter olika pris på olika exportmarknader för samma vara. Studien görs för alla svenska exporterande företag ino

Classification of power system stability using support vector machines

The last years' blackouts have indicated that even when a lot of data is available, the operators at different centers do not take the proper actions in time. This depends partly on the reorganization of the centers after the deregulation and partly on the lack of reliable supportive applications when the system is close to instability. This paper uses a novel technique based on support vector mac