Although the institutional model of science communication operated well during corona-pandemic, and relevant public institutions (media, science, politics) garnered higher levels trust following “rally-around-the-flag” dynamics, other people would develop distrusts towards those emerging orthodox corona narrative. Their ideas are often framed as conspiracy theories, today’s globalized media eco...

Background Early and effective chest compressions have a well known pivot role in cardiopulmunary resuscitation (CPR) and 2010 International Consensus on Cardiopulmonary Resuscitation have strongly reinforced its importance. The efficacy of chest compressions depends on hands position and on compression technique. Medical education can improve chest compression technique, while the choice of th...

Splice junction sequences from a large number of nuclear and viral genes encoding protein have been collected. The sequence CAAG/GTAGAGT was found to be a consensus of 139 exon-intron boundaries (or donor sequences) and (TC)nNCTAG/G was found to be a consensus of 130 intron-exon boundaries (or acceptor sequences). The possible role of splice junction sequences as signals for processing is discu...

Analysis of 12 Helicobacter pylori promoters indicates the existence of a consensus -10 hexamer (TAtaaT) but little conservation of -35 sequences. In this study, mutations in either the H. pylori vacA -10 region or the -35 region resulted in decreased vacA transcription and suggested that an extended -10 motif is utilized. Thus, despite the lack of a -35 consensus sequence for H. pylori promote...

Recent work on the role of norms in the use of causal language by ordinary people has led to a consensus among several researchers: The consensus position is that causal attributions are sensitive to both statistical norms and prescriptive norms. But what is a statistical norm? We argue that there are at least two types that should be distinguished--agent-level statistical norms and population-...

Robust model fitting plays a vital role in computer vision, and research into algorithms for robust fitting continues to be active. Arguably the most popular paradigm for robust fitting in computer vision is consensus maximisation, which strives to find the model parameters that maximise the number of inliers. Despite the significant developments in algorithms for consensus maximisation, there ...