The related literature is studied to explore the psychological characteristics of juvenile delinquency groups and implement their psychological characteristics model for the intervention of health behavior. Drawing on the results of current literature research, the Youth Psychological Characteristics Crime Prevention Questionnaire (YPPQ) was compiled, which can be simply referred to as the Crime Prevention Questionnaire. The whole psychological characteristics of juvenile delinquency are analyzed by means of a questionnaire. Firstly, the YPPQ scores of different groups were compared, and a structured interview was conducted on the reasons for the crime of the problem youth group. Secondly, data analysis was carried out on the results of questionnaires and interviews, and the psychological characteristics of juvenile delinquency were summarized. A “mixed hierarchical intervention model” was proposed to intervene in the mental health behavior of juvenile delinquency groups, and corresponding intervention strategies were also proposed. The results reveal that through the questionnaire survey, the educational background of juvenile subjects was generally distributed in middle school, the number of juveniles with primary school education was less than 30% of the juvenile delinquency groups, the middle school education accounted for more than 60% of the juvenile delinquency groups, and the approximate age was about 18 years old. The largest number in each group were adolescents with secondary school education, indicating the importance of psychological education on crime prevention for adolescents in secondary school. By comparing the YPPQ test scores of different groups, the adolescent group has higher test scores than the juvenile delinquency groups in five of the dimensions. Through the comparative analysis of the YPPQ test results of the juvenile delinquency groups, the problem youth group, and the normal youth group, it is found that the YPPQ has high reliability and validity, so its detection and evaluation are highly feasible. By comparing the odds ratio (OR) of each question in the YPPQ test between the experimental group and the control group, it is found that the psychological characteristics of the experimental group are significantly affected by family, school, and even society. Finally, it proposes a “mixed hierarchical intervention model” for juvenile delinquency to intervene in health behaviors. The purpose is to provide some research ideas for the study of the psychological characteristics of juvenile delinquency groups and to put forward some suggestions for the prevention of juvenile delinquency and the intervention of health behavior.

In order to optimize the resource allocation of the traditional publishing industry in the new media era, it is proposed to integrate the traditional publishing and digital publishing industries to solve the problem of unbalanced resource distribution under dual-track conditions. Professional talents with innovative entrepreneurial ability and psychology in colleges and universities are cultivated to promote the integration and reform process of the publishing industry under the background of new media art. First, the study analyzes the digital reform issues facing the development of the publishing industry in the new media era. Second, in view of the development situation of the publishing industry in the Yangtze River Delta, it is proposed to establish a development model of integrated publishing in the Yangtze River Delta through resource allocation. Then, under the new media art form, the teaching mode of creative and entrepreneurial talents training in art colleges and universities is optimized to cultivate students’ innovative ability and entrepreneurial positive psychology. The research results show that the number of books printed in Shanghai in the Yangtze River Delta is 13,000 types per year, and the number is still rising; however, periodicals and newspapers are affected by the new media industry, and the number of publications is declining. The printing volume has dropped by 50% in 9years; the questionnaire survey results show that 68% of the students are very interested in entrepreneurial activities, but 53% of the students have not carried out entrepreneurial activities at all, indicating that the students’ entrepreneurial ability is insufficient. The results provide a reference for studying the reform direction of the publishing industry and cultivating entrepreneurial talents in the context of new media.

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This work intends to solve the problem that the current artistic typeface generation methods rely too much on manual intervention, lack novelty, and the single font local feature and the global feature extraction method cannot fully describe the font features. Firstly, it proposes a handwritten word recognition model based on generalized search trees (GIST) and the pyramid histogram of oriented gradient (PHOG). The local features and global features of the font are fused. Secondly, a model of automatic artistic typeface generation based on generative adversarial networks (GAN) is constructed, which can use hand-drawn fonts to automatically generate artistic typefaces in the desired style through training as needed. Finally, the generation of the huaniao typeface is used as an example. By constructing the dataset, the effectiveness of the two models is verified. The experimental results show the following: (1) The proposed handwritten character recognition model based on GIST and PHOG has a higher recognition rate of different fonts than the single GIST and PHOG features by more than 5.8%. The total recognition time is reduced by more than 49.4%, and the performance is improved significantly. (2) Compared with other popular algorithms, the constructed GAN-based automatic artistic typeface generation model has the best quality of the generation of huaniao on both the pencil sketch and the calligraphy character image dataset. Models have broad application prospects in contemporary advertising text art design. This study aims to provide important technical support for the automation of contemporary advertising text art design and the improvement of overall efficiency.

Unit charts are a common type of chart for visualizing scientific data. A unit chart is a chart used to communicate quantities of things by making the number of symbols on the chart proportional to the number of items represented. An accurate perception of the order of magnitude is essential to evaluating whether a unit chart can effectively convey information. Previous studies have primarily focused on perceptual properties at small order-of-magnitude scales or the efficacy of pictographs in unit charts. However, few researchers have explored the perceptual effectiveness of unit charts when representing large orders of magnitude. In this study, we performed a series of sampling measurements to investigate the visual–perceptual characteristics of unit charts when representing asymmetric interactions such as large-scale numbers. The results showed that under the restriction of the current conventional display medium, unit charts still offer a significant advantage over bar charts in a single-scale visual overview. However, this comes at the cost of a longer response time. Although this study constitutes basic research, accumulating evidence about how people reason about magnitudes beyond human perception is critical to the field of information science. This study may contribute to understanding how viewers perceive unit charts and the factors that influence graphical perception. This article provides some specific guidelines for designing unit charts that may be useful to visualization designers.