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 ...

INTRODUCTION The Ethics Committees (EC) are established to safeguard the safety and rights of the subjects participating in a research study. No formal training about Ethics Committee is given to the medical students in undergraduate and post graduate education as a part of curriculum. AIMS AND OBJECTIVES To study the awareness about the composition and functioning of EC amongst the medical t...

Identity theft is the fastest growing crime in the 21 century. This paper investigates firstly what well-known e-commerce organizations are communicating on their websites to address this issue. For this purpose we analyze secondary data (literature and websites of ten organizations). Secondly we investigate the good practice in this area and recommend practical steps. The key findings are that...

the trouble to visualise a muscle they have just dissected by its surface-markings on their own bodies. Mr. Rawlings has found that the " dryness" of thesubject is mitigated if the importance of the surface-markings of the different structures is realised; all the most important have been fully and accurately described in this book. The numerous illustrations are a special feature of the work; ...

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...