Dinâmicas sociais e estados de humor Social dynamics and mood states

O objetivo do estudo foi avaliar as relações das dinâmicas sociais (família, amigos e escola; i.e., três fatores sociais) sobre os estados de humor. A pesquisa foi realizada com uma equipe feminina de voleibol (14/15 anos). Aplicou-se o teste POMS (Profile of Mood States) para mensurar os estados de humor. Foi utilizada uma escala de 1 (muito mal) a 5 (muito bem) para que as atletas avaliassem cada um dos três fatores. Os resultados apontaram correlações significativas entre as escalas e os estados de humor; e diferenças significativas entre os níveis de intensidade apontados na escala dos três fatores e os estados de humor. Os resultados indicam clara interferência das dinâmicas sociais sobre os estados de humor, portanto, as interferências sociais não podem ser descartadas na preparação do atleta.<br>The aim of this study was to evaluate the impact of social dynamics (family, friends and school; i.e., three social factors) on mood states. The survey was conducted with a women's volleyball team (14/15 years). The POMS test (Profile of Mood States) was employed to measure the team's mood states. The athletes assessed the three factors by the use of a Likert scale ranging from 1 (very bad) to 5 (very good). Results showed significant correlations between scales and mood states, and significant differences between the intensity levels representing their moods for each of the three factors. The results show clear interference of social dynamics on the mood states. Therefore, social interference cannot be ignored during an athlete's training program

Non-Resonant Frequencies of Electromagnetic Fields in α-Helices Cellular Membrane Channels

This is the accepted version of the following article: "Non-Resonant Frequencies of Electromagnetic Fields in α-Helices Cellular Membrane Channels", which has been published in final form at https://openbiotechnologyjournal.com/VOLUME/12/PAGE/86/International audienceBackground: This paper would be a starting point addressed to a methodology to minimize the effects on livings of man made Electromagnetic Fields (EMFs) pollution. Methods: Given that previous literature highlighted that the most relevant EMFs effects on biological systems can be due to resonance phenomena between electromagnetic field and organic matter, it was proposed here an algorithm to obtain values of frequencies of an applied electromagnetic field far from resonant frequencies, depending on the natural frequencies and viscous damper of a biological system. These frequencies have been named non-resonant frequencies. Results: The displacement of the α-helices in cellular membrane channels due to EMFs has been proposed as a relevant parameter for quantifying the result of the interaction between an applied EMF and organic matter, in order to find both the natural frequencies of a biological system and the resonant frequencies at which α-helices displacement should be maximum. Conclusion: The non-resonant frequencies can be obtained using the algorithm proposed here