Abstract
This paper proposes and investigates a multilevel ac six-phase motor drive. The system is composed of five isolated three-leg voltage source inverters feeding the open-end windings of an asymmetrical six-phase induction motor (SPIM), which is adequate to generate multilevel voltages for high-power systems with voltage rating restrictions. A simple space vector pulse-width modulation (PWM) based on three similar individual planes and its implementation by means of equivalent level-shifted PWM are presented. A space vector pattern with a high number of voltage vectors redundancies is obtained. These redundancies and the application sequence of the voltage vectors are selected to minimize the amount of changes in the switching states and to decrease the harmonic distortion of the generated voltages. The vector pattern of this optimal modulation is obtained by analyzing only one plane and applied in the same way to the three planes as if they were independent. The developed PWM techniques have low computational complexity and are suitable for low-cost hardware implementations. Simulation results are used to compare the proposed topology with a conventional configuration in terms of harmonic distortion and semiconductor losses. Experimental results demonstrate the feasibility of the proposed drive system.

Abstract
A randomized controlled trial was conducted to assess the effects of exercise plus pharmacotherapy on monoamine neurotransmitters (dopamine, noradrenaline, adrenaline, serotonin) and cortisol levels. A total of 26 women with clinical depression were randomly assigned to one of the two groups: aerobic exercise plus pharmacotherapy or only pharmacotherapy. The exercise program consisted of aerobic exercise, 45-50 min/session, three times/week, for 16 weeks. The biological parameters were measured before and after the exercise program. Adding exercise to pharmacotherapy had no additional effects on monoamines and cortisol plasma levels. These data are preliminary outcomes from a small sample and should be replicated.

Abstract
A Sleeping Beauty (SB) is a publication that goes unnoticed for a long time, and then, almost suddenly, is awakened by a 'prince' (PR), attracting from there on a lot of attention in terms of citations. Although there are some studies on the SB and the PR phenomena in the sciences, barely any research on this topic has been conducted in the social sciences, let alone in innovation studies. Based on 52,373 articles extracted from the Web of Science and using a new method that, comparatively with extant methods, selects SBs with the highest scientific impact, we found that, similarly to the sciences, SBs are rare in the field of innovation (<0.02%). In contrast with the sciences, the depth of sleep is relatively small, ranging from 7 to 17 years. All the 8 SBs found, and the (37) corresponding princes, were published in highly renowned journals (e.g., Harvard Business Review, Journal of Management Studies, Organization Studies, Rand Journal of Economics, Research Policy). The explanations for the delayed recognition are associated with innovative methods, scientific resistance, and theoretical-relatedness. The role of highly influential authors and self-awakening mechanisms were critical triggers for bringing SBs into scientific notoriety.

Abstract
The voltage stability security is a very important and relevant issue in the modern power networks. The voltage instability can drive the system to a blackout. One of the methodologies to deal with this problem is analysing the trajectory sensitivity of the system. The STATCOM is an important hardware that is used to improve the voltage stability of an electric power network. The main objective of this paper is to analyse the results of different studies that were realized in a power system with wind farms. The wind farms were modelled considering that the wind turbines were equipped with pitch control coupled with a Permanent Magnet Synchronous Generator. The EUROSTAG program was used to obtain the simulation results. The Matlab software package was used for the post-processing module developed.

Abstract
With the growing interest in research in poker, by scientists belonging to the area of Artificial Intelligence, has arisen the need to overcome the imperfect information of the same, as a stochastic game, by the challenges that this enables. In this work we intend to create data models that allow us to know the plays of a real player, supporting the decision to play in the pre-flop phase, within the Texas Hold'em side. To accomplish this, several Data Mining techniques were applied for classification, using RapidMiner software. The development of this work was based on data from online games of professional poker players, who had important information of the factors inherent to a real game.

Abstract