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Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the "classical" duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research. [ABSTRACT FROM AUTHOR]

At the crossroads of current innovation policies towards a European Research Area (ERA) and a European Higher Education Area (EHEA) lies an important province of higher learning and research: doctoral training and the further careers of PhD graduates. A considerable number of higher education systems across Europe shift their paradigms for doctoral training away from the traditional so-called Humboldtian model towards the so-called professional model. On this background, the paper discusses (1) the German pattern of a strong link of the PhD to the labor market outside academe that is based on a traditional academic-disciplinary mode of apprenticeship training, and (2) approaches that argue for a new mode of knowledge production replacing an academic-disciplinary model of research training by a hybrid model that crosses disciplinary and organizational borders. The paper argues that a diversity of organisational and structural forms as well as different validation criteria and procedures will probably determine the future face of research training. [ABSTRACT FROM AUTHOR]