AI ethics on Friday, 13 November 2015

Abstract Rapid progress in information and communication technologies ( ICTs ) has fueled the popularity of e‐learning. However, an e‐learning environment is limited in that online instructors cannot monitor immediately whether students remain focus during online autonomous learning. Therefore, this study tries to develop a novel attention aware system ( AAS ) capable of recognizing students' attention levels accurately based on electroencephalography ( EEG ) signals, thus having high potential

Classical economic models are predicated on the idea that the ultimate aim of choice is to maximize utility or reward. In contrast, an alternative perspective highlights the fact that adaptive behavior requires agents' to model their environment and minimize surprise about the states they frequent. We propose that choice behavior can be more accurately accounted for by surprise minimization compared to reward or utility maximization alone. Minimizing surprise makes a prediction at variance with

Clear cell renal cell carcinoma (ccRCC) metastasis may result from epithelial-to-mesenchymal transition and mesenchymal stem cells that contribute to the development of the primary tumor. In this study, it was demonstrated that microRNA-21 (miR-21) acts as an oncogenic driver of ccRCC. ccRCC spheres were isolated and it was shown that they exhibited cancer stem cell‑like properties, including the formation of self‑renewing spheres. Spheres showed increased expression of stem cell‑related transcr