The fallacy of the popular concept that "it's good enough for clinical purposes" is becoming more widely recognized as the potentialities of scientific methods in diagnosis and therapy increase. Such a manual as this should aim to raise the dignity and improve the quality of clinical chemistry and clinical chemists, not, by conceding to prevailing opinion, perpetuate its present mediocre estate...

Consider a politician who has to take two sequential decisions during his term in office. For each decision, the politician faces a trade-off between taking what he believes to be the decision that generates a public benefit, thus increasing his chances of re-election, and taking the decision that increases his private gain but is likely to decrease his chances of re-election. In our results we...

Since the early 1980s, the research community has developed ever more sophisticated algorithms for the problem of energy disaggregation, but despite decades of research, there is still a dearth of applications with demonstrated value. In this work, we explore a question that is highly pertinent to this research community: how good does energy disaggregation need to be in order to infer characte...

hsr Proceedings in intensive care and cardiovascular anesthesia 2012, Vol. 4 Corresponding author: Prof. Michael John Università Vita-Salute San Raffaele Via Olgettina, 48 20132 Milan, Italy e-mail: [email protected] And now for something completely different. Formula one racing drivers need to know the track they will be speeding around to avoid injuring themselves and others, and hopefully ...

We hope to advance the Semantic Web by doing research within the boundaries of the known. Isn’t that all we can do? It seems hard to break out of the boundaries of the known, but no, I don’t think it is good enough, and that we need to challenge this view, and that we should look to philosophy of science and natural science for inspiration. My fundamental assumption, which I hope you will agree...

In the questionnaire analysis, finding whether there is a statistically significant difference between two or more groups in a continuous measure is one of the major problems in researches. However, it is difficult for researchers to solve the issue of finding possible statistically significant difference, namely “Statistically Significant Difference Unawareness Issue”. There are two causes to ...

We address the problem of compressed sensing (CS) with prior information: reconstruct a target CS signal with the aid of a similar signal that is known beforehand, our prior information. We integrate the additional knowledge of the similar signal into CS via l1-l1 and l1-l2 minimization. We then establish bounds on the number of measurements required by these problems to successfully reconstruc...