Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：本文采用社会网络分析方法,利用2010—2019年的经济联系数据,对长三角区域智慧城市群在安徽省加入前后的形式及内部特征变化进行探究。研究发现:安徽省加入后,长三角智慧城市群经济网络结构发生明显变化,经济联系差距缩小,智慧城市群紧密性、内部节点集聚性得以缓解,资源流动通达性提升,部分中小型城市发挥更积极的作用,城市群垂直化发展的差异性得以缓解。
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-02
Abstract： [Purposes] To explore the differences in academic influence between cover papers and non-cover papers in core journals of journalism and communication science in terms of download volume, citation volume, etc., in order to provide reference for improving the communication and influence of academic journals of journalism and communication science. [Methods] An empirical study was conducted on the download and citation of 450 cover papers and 821 non cover papers published in four core journals of journalism and communication science, including journalism and communication, including Journalism & Communication, Chinese Journal of Journalism & Communication, Modern Communication (Journal of Communication University of China), and Journalism Research, in 2018 and 2019. [Findings] The four journal cover papers were generally significantly higher than non-cover papers in terms of download volume, total citation volume, citation volume by core journals, and citation volume by core journals from other disciplines. There was a positive correlation between download volume and various indicators of citation volume. [Conclusions] Cover papers can help enhance the influence of academic journals. Journalism and communication journals should pay attention to selecting cover papers, enhancing cover integration design, striving to expand the communication channels of cover papers, increasing social media communication efforts, exploring full media integration publishing, and enhancing the academic influence of cover papers and journals.
Subjects: Psychology >> Cognitive Psychology submitted time 2021-09-07
Abstract： Facial expressions are an important medium for understanding the emotional feelings of others. However, individual factors such as gender, age, and personality traits can influence the perception of facial expressions. For instance, individuals with elevated level of trait anxiety, which is measure of frequency and intensity of occurrence of anxiety related symptoms, show attentional bias towards emotional stimuli, that is, higher attention to emotional information such as facial expressions. These studies mostly focused on attentional processing stage, and it remains unclear whether trait anxiety affects the pre-attentive processing stage of facial expression perception. Pre-attentive processing is an automatic evaluation of whether attention is needed for the stimulus, thereby filtering out irrelevant information to conserve cognitive resources and improve the efficiency of information processing. Therefore, the present study aimed to investigate the pre-attentive processing of facial expressions and the bias to emotional stimuli of trait anxious individuals to emotional stimuli during the pre-attentive processing stage. According to the scores of Spielberger State-Trait Anxiety inventory (STAI), 20 participants who scored in the top 27% were assigned to the high trait anxiety group (13 women; mean age=19.02 ± 0.63 years) and 20 participants who scored in the bottom 27% were assigned to the low trait anxiety group (11 women; mean age=19.63 ± 0.88 years). The stimuli used in the experiment were happy, sad and neutral face pictures selected from the Chinese Facial Affective Picture System (CAFPS; Gong et al., 2011) including 10 pictures (5 females and 5 males) of each kind of emotion. The deviant-standard-reverse oddball paradigm included 4 types of facial expression sequences: neutral standard stimuli/happy deviant stimuli, happy standard stimuli/neutral deviant stimuli; neutral standard stimuli/sad deviant stimuli, and sad standard stimuli/neutral deviant stimuli. The standard stimuli mean that this type of stimuli were appeared about 80% of the time in the sequence, and the deviant stimuli were about 20%. Participants were instructed to detect unpredictable changes in the size of fixation cross in the center of visual field and press a corresponding button as fast and as accurate as possible, and ignored facial expressions. The results revealed that, the amplitudes of N170 elicited by deviant faces were significantly larger than standard faces. Importantly, in the early EMMN, the mean amplitude elicited by sad facial expressions was significantly larger than happy facial expressions in low trait anxiety group, but there was no significant difference between happy and sad facial expressions in high trait anxiety group. Moreover, the early EMMN amplitude of happy faces was significantly larger in the high trait anxiety group than in the low trait anxiety group. These results suggest that the high trait anxiety group has similar amplification of EMMN amplitude for both happy and sad expressions. Our results show that there is a difference between high and low trait anxiety in the pre-attentive processing of facial expression. This suggests that personality traits are important factors influencing the pre-attentive processing of facial expressions, and high trait anxiety individuals may have difficulty in effectively distinguishing between happy and sad emotional faces during the pre-attentive processing stage and have similar processing patterns for them.
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