Perception system for humanoid should be active, e.g., by moving its body or controlling parameters of sensors such as cameras or microphones, to perceive environments better. This paper focuses on active audition, whose main problem is to suppress internal sounds made by humanoid movements. Otherwise, such sounds would deteriorate the performance of auditory processing. Our 4-degree-of-freedom...

Timely topics in pain research and treatment have been selected for publication, but the information provided and opinions expressed in this newsletter have not involved any verification by the International Association for the Study of Pain (IASP) or the SIG on Pain in Older Persons of the findings, conclusions and opinions stated in this publication. Thus, opinions expressed in this publicati...

The primary objective of this study was to determine the prevalence of colorectal cancer (CRC) screening among eligible patients in a large medical practice. A secondary objective was to compare CRC screening rates obtained from medical records with physician self-reported CRC screening recommendation. We conducted a retrospective record review of 214 patients ages > or = 50 years of a large mu...

Denna artikels tänkbara svar på frågan varför vi har slöjd i den svenska grundskolan är förankrat teorier om motstånd (Senneth, 2008) och kommunikation ledarskap (Hamre m.fl., 2013). Svaret pekar en potential knuten till att lärare medvetet leder elever slöjdundervisningen stannar hos dem under genom erbjuda både krav stöd. Utifrån re-analys av tidigare insamlade videoobservationer beskrivs tre...

The Special Interest Group (SIG) on Text Mining (or BioLINK — Biological Literature, Information and Knowledge; http://www.pdg.cnb.uam.es/BioLINK/) was created to address the need for communication and interchange of ideas in the field of text mining and information extraction applied to biology and biomedicine. Information extraction (IE) is an outgrowth of work in automated natural language p...

Automated program evolution has existed in some form for over thirty years. Signal understanding (e.g., signal classification) has been a scientific concern for even longer than that. Interest in generating, through machine learning techniques, a general signal understanding system is a newer topic, but has recently attracted considerable attention. First, I have proposed to define and create a...