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Björn Johansson
Researcher at Chalmers University of Technology
Publications - 659
Citations - 17424
Björn Johansson is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Discrete event simulation & Enterprise resource planning. The author has an hindex of 62, co-authored 637 publications receiving 16030 citations. Previous affiliations of Björn Johansson include University of Minho & Malmö University.
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Fibril in senile systemic amyloidosis is derived from normal transthyretin.
TL;DR: It is shown that the TTR molecule in SSA, on the other hand, has a normal primary structure, and factors other than the primary structure of TTR must therefore be important in the pathogenesis of T TR-derived amyloid.
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Stimulation of high-affinity adenosine A2 receptors decreases the affinity of dopamine D2 receptors in rat striatal membranes.
TL;DR: In this article, the effect of A2a receptor activation on D1 and D2 receptor binding in membrane preparations of the rat striatum was examined, and it was shown that the A2-D2 interaction may underlie the neuroleptic-like actions of adenosine agonists and the enhancing effects of caffeine, such as caffeine, on locomotor activity.
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Hyperalgesia, anxiety, and decreased hypoxic neuroprotection in mice lacking the adenosine A1 receptor
Björn Johansson,Linda Halldner,Thomas V. Dunwiddie,Susan A. Masino,Wolfgang Poelchen,Lydia Giménez-Llort,Rosa M. Escorihuela,Alberto Fernández-Teruel,Zsuzsanna Wiesenfeld-Hallin,Xiao-Jun Xu,Anna Hårdemark,Christer Betsholtz,Eric Herlenius,Bertil B. Fredholm +13 more
TL;DR: A1Rs do not play an essential role during development, and although they significantly influence synaptic activity, they play a nonessential role in normal physiology under pathophysiological conditions, including noxious stimulation and oxygen deficiency, they are important.
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IdeS, a novel streptococcal cysteine proteinase with unique specificity for immunoglobulin G
TL;DR: The identification, purification and characterization of a novel extracellular cysteine proteinase produced by S.pyogenes are described, indicating that IdeS represents a novel and significant bacterial virulence determinant, and a potential therapeutic target.
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A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems
TL;DR: An algorithm that generalizes the randomized incremental subgradient method with fixed stepsize due to Nedic and Bertsekas is presented, particularly suitable for distributed implementation and execution, and possible applications include distributed optimization, e.g., parameter estimation in networks of tiny wireless sensors.