Numerous studies had found that creativity is not only associated with low effort and flexible processes, but also associated with high effort and persistent processes especially when defensive behavior being induced negative emotions. The important role of self-esteem is to buffer the negative emotions and low self-esteem are prone to instigate various forms of defensive behaviors. Thus, we thought that the relationships between trait creativity and executive control brain networks might be modulated by self-esteem. The resting-state electroencephalogram (RS-EEG) microstates can (...) divided into four classical types (MS1, MS2, MS3 and MS4) which can reflect the brain networks as well as the dynamic characteristic of them. Thus, Williams creative tendency scale (WCTS) and Rosenberg Self-Esteem Scale (RSES) were used to investigate the modulating role of self-esteem on the relationships between trait creativity and the RS-EEG microstates. As our results showed, self-esteem consistently modulated the relationships between creativity and the duration and contribution of MS2 related to visual or imagery processing, the occurrence of MS3 related to cingulo-opercular networks, as well as transitions between MS2 and MS4 which was related to frontoparietal control networks. Based on these results, we thought that Moreover, individuals with low self-esteem might be more prone to influenced by negative emotions and develop low trait creativity; bottom-up information from vision or visual imagery might be beneficial to develop trait creativity for individuals with high self-esteem to improve trait creativity, while inhibition of irrelevant information could facilitate trait creativity for individuals with low self-esteem. (shrink)

The prevalence of mobile phone addiction has increased rapidly in recent years, and it has had a certain negative impact on emotions and cognitive capacities. At the level of neural circuits, the continued increase in activity in the brain regions associated with addiction leads to neural adaptations and structural changes. At present, the spontaneous brain microstates that could be negatively influenced by MPA are unclear. In this study, the temporal characteristics of four resting-state electroencephalogram microstates related to mobile phone addiction (...) tendency were investigated using the Mobile Phone Addiction Tendency Scale. We attempted to analyze the correlation between MPAT and corresponding microstates and provide evidence to explain the brain and behavioral changes caused by MPA. The results showed that the total score of the MPATS was positively correlated with the duration of MS1, related to phonological processing and negatively correlated with the duration of MS2, related to visual or imagery processing, and MS4, related to the attentional network; the score of the withdrawal symptoms subscale was additionally associated with duration of MS3, related to the cingulo-opercular emotional network. Based on these results, we believe that MPAT may have some negative effects on attentional networks and sensory brain networks; moreover, withdrawal symptoms may induce some negative emotions. (shrink)

Aiming at the problem of insufficient health monitoring of the elderly in the existing home care system, this paper designs a health information analysis and early warning system based on the Internet of Things technology, which can monitor the physiological data of the elderly in real time. It also can be based on the elderly real-time monitoring data, physical examination data, and other types of health data, which can be used to predict diseases, so as to achieve “early detection and (...) early treatment” of diseases. First, analyse and design the architecture and content of the home care monitoring system based on the Internet of Things. Secondly, based on the collected heart rate, blood pressure, and three-axis acceleration information of the elderly, it is analysed to determine whether the elderly are in danger of falling, and the designed system is used for early warning. Finally, this paper analyses the prediction algorithm theory of the disease prediction module in the health monitoring software of the home care system. In order to improve the accuracy of prediction, the DS evidence theory is used to optimize the traditional BP neural network algorithm and conduct experimental tests. The test results show that the health information analysis and early warning software of the home care system meet actual needs and achieve the expected goals. (shrink)

本书分为7篇共18章,大致分三部分,包括论人性的属性、特征,以及欲求自我实现的机制和形态;论欲求的各种法则以及欲望变化的无穷趋势;论恶欲的产生和对立给个人及国家带来的灾难等内容。.

Several recent studies have found that when the other’s gain is greater, even subjects’ reward may seem like a loss and lead to a negative experience. These studies indicate the complexity of reward evaluation in the context of social comparison. The satisfaction rating of reward outcome not only depends on objective social comparison but also on subjective evaluation. However, less is known about the neural time course of subjective evaluation. Therefore, we employed a 2 × 2 within-subjects factorial design, in (...) which we manipulated the reward distribution for the subjects. Electroencephalography responses were recorded, while two subjects concurrently but independently performed a simple dot-estimation task that entailed monetary rewards. Behavioral results showed that the subjects were more satisfied with the advantageous distribution, regardless of upward or downward comparison. The analysis of event-related potentials revealed that disadvantageous distribution elicited a larger P2 than advantageous distribution, and this effect was not modulated by comparison direction. In contrast, the late positive potential showed an effect of comparison direction independent of subjective evaluation. The data suggest that subjective evaluation acts upon the early stage of reward processing and manifests in the P2 component, whereas social comparison plays a role in the later appraisal process. (shrink)