RESUMEN
Emotion is an important expression generated by human beings to external stimuli in the process of interaction with the external environment. It affects all aspects of our lives all the time. Accurate identification of human emotional states and further application in artificial intelligence can better improve and assist human life. Therefore, the research on emotion recognition has attracted the attention of many scholars in the field of artificial intelligence in recent years. Brain electrical signal conversion becomes critical, and it needs a brain electrical signal processing method to extract the effective signal to realize the human-computer interaction However, nonstationary nonlinear characteristics of EEG signals bring great challenge in characteristic signal extraction. At present, although there are many feature extraction methods, none of them can reflect the global feature of the signal. The following solutions are used to solve the above problems: (1) this paper proposed an ICA and sample entropy algorithm-based framework for feature extraction of EEG signals, which has not been applied for EEG and (2) simulation signals were used to verify the feasibility of this method, and experiments were carried out on two real-world data sets, to show the advantages of the new algorithm in feature extraction of EEG signals.
Asunto(s)
Inteligencia Artificial , Interfaces Cerebro-Computador , Algoritmos , Atletas , Electroencefalografía/métodos , Humanos , Procesamiento de Señales Asistido por ComputadorRESUMEN
The differentiation of preadipocytes into adipose tissues is tightly regulated by various factors including microRNAs and cytokines. This article aims to study the effect of miR-330-5p on expression of BCAT2 in ovine preadipocytes. Ovine preadipocytes were isolated, and we found that the miR-330-5p expression decreased gradually during the early differentiation of ovine preadipocytes, while BCAT2 expression increased. BCAT2 was identified as a direct target of miR-330-5p, ectopic expression of miR-330-5p could change the expression of both BCAT2 mRNA and protein. Silencing BCAT2 had the same inhibition effects as overexpressing miR-330-5p on the preadipocyte differentiation, but overexpressing BCAT2 had the converse effects. Taken together, we demonstrated that miR-330-5p is a negative regulator of differentiation by targeting BCAT2, and clarified the role of BCAT2 and miR-330-5p during preadipocyte differentiation.
Asunto(s)
Adipocitos/citología , Diferenciación Celular/genética , Regulación del Desarrollo de la Expresión Génica/genética , MicroARNs/genética , Antígenos de Histocompatibilidad Menor/metabolismo , Transaminasas/metabolismo , Tejido Adiposo , Animales , Células Cultivadas , Antígenos de Histocompatibilidad Menor/genética , ARN Mensajero/metabolismo , Ovinos , Transaminasas/genéticaRESUMEN
Health messages are designed to stimulate an active cognitive process in those audiences generally with little involvement. The Elaboration Likelihood Model by Petty and Cacioppo sustains that subjects with high involvement and those with low involvement react differently to the persuasive message to which they are exposed. One efficient way to capture the attention of the low involvement audiences is to insert the messages within an entertainment context. Our study attempted to analyze affective and cognitive processes to explain the impact of these new formats, fictional shorts for HIV/AIDS prevention. A 2 x 2 factorial design was used, with involvement in the AIDS issue (high/low) and the type of format (musical/dialogue) as independent variables. The finding showed the better the quality of the short (with dialogue style) the more negative affectivity was stimulated, also the more cognitive processing was induced, and a more favorable attitude towards preventive behavior was stimulated.