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This paper attempts to illustrate the implications of a simultaneous redirection of the big publishers’ business strategy towards open access business models and the acquisition of scholarly infrastructure utilizing the conceptual framework of rent-seeking theory. To document such a transformation, we utilized financial databases to analyze the mergers and acquisitions of the top publicly traded academic publishers. We then performed a service analysis to situate the acquisitions of publishers within the knowledge and education life-cycles, illustrating what we term to be their vertical integration within their respective expansion target life-cycles. The vertical integration is analyzed via a rent theory framework and described to be a form of rent-seeking complementary to the redirection of business strategies to open access. Finally, the vertical integration is noted to generate exclusionary effects upon researchers/institutions in the global south.

A Brain-Computer interface (BCI) is a communication system that enables the generation of a control signal from brain signals such as sensorymotor rhythms and evoked potentials; therefore, it constitutes a novel communication option for people with severe motor disabilities (such as Amyotrophic Lateral Sclerosis patients). This paper presents the development of a P300-based BCI. This prototype uses a homemade six-channel electroencephalograph for the acquisition of the signals, and a visual stimulation matrix; since this matrix contains letters of the alphabet as well as images associated to them, it permits word-writing and the elaboration of messages with the images. To process the signals the software BCI2000 and MATLAB 7.0 were used. The latter was used to program three linear translation algorithms (Stepwise Linear Discriminant Analysis, Lineal Discriminant Analysis and Least Squares) to convert the brain signals into communication signals. These algorithms had a classification accuracy of 90.73 %, 95.75 % and 89.45 % respectively, when using raw data; and of 90.78%, 49.48 % and 53.9 %, when data was previously common-average filtered. The experimental setup was tested in ten healthy volunteers; 5 of them got a 100% success, 1 a 90% success, 2 an around 70% success and 2 a 50% success, in the online free-spelling tests.