A surface electromyographic (sEMG) signal includes important information on muscular activity and was recently widely used as an input signal in a myoelectric control system. In this manuscript, eight hand motions were classified using different extracted features from sEMG signals. The results of the experiment show that the combination of sample entropy (SampEnt), root mean square (RMS), myop...

The P300 event-related potential (ERP), evoked in scalp-recorded electroencephalography (EEG) by external stimuli, has proven to be a reliable response for controlling a BCI. The P300 component of an event related potential is thus widely used in brain-computer interfaces to translate the subjects’ intent by mere thoughts into commands to control artificial devices. The main challenge in the cl...

Abstract Objective: The present study aimed to analyse the social representations of Psychology in a sample Portuguese respondents, thus contributing better understanding meaning this scientific area. Method: A free association task was performed by 205 individuals who were given word “Psychology” as stimulus. Data analysed using content analysis, supported Max-Qda software. Results: main resul...

Am Beispiel der Entwicklung von DokuMet QDA, einer neuen Software für die Auswertung mit Dokumentarischen Methode wird in dem Beitrag empirisch und theoretisch rekonstruiert, wie methodisches methodologisches Wissen ‚eingeschrieben‘ wird. Die hierbei auftretenden ‚Übersetzungsprozesse‘ zwischen Methodenexpert*innen auf einen Programmierer*innen anderen Seite werden anhand Analyse unterschiedlic...

Given the joint feature-label distribution, increasing the number of features always results in decreased classification error; however, this is not the case when a classifier is designed via a classification rule from sample data. Typically, for fixed sample size, the error of a designed classifier decreases and then increases as the number of features grows. The problem is especially acute wh...

Global climate models predict that the strongest dependences of surface air temperatures on increasing atmospheric carbon dioxide levels will occur in the northern high latitudes of Alaska, Greenland, and eastern Siberia (Giorgi and Bi, 2005). A systematic study of these dependences requires accurate Arctic-wide measurements, especially of cloud coverage as gains or losses in cloud coverage can...

BACKGROUND Predictive models for delayed graft function (DGF) after kidney transplantation are usually developed using logistic regression. We want to evaluate the value of machine learning methods in the prediction of DGF. METHODS 497 kidney transplantations from deceased donors at the Ghent University Hospital between 2005 and 2011 are included. A feature elimination procedure is applied to...

Justifying the adoption of qualitative research method to satisfy examiners (for thesis) and reviewers journal articles) is a challenging task for researchers in business, management, marketing, tourism, hospitality albeit social science domain. The difficulty continues establishing justification selecting approaches, sample strategy, size, data collection methods (i.e. interview methods), satu...