The Internal Connection Analysis of Information Sharing and Investment Performance in the Venture Capital Network Community

The Integrated Development of the Manufacturing and Service Industries Facing Human-Computer Interaction Based on Deep Learning

With the rapid development of modern technology and the economy, the global value chain is also constantly evolving, and the links between various industries are becoming closer. With the continuous optimization of the international situation and the support of Chinese policies, the integrated development of manufacturing and service industries is the general trend. This study proposes to use human-computer interaction to conduct in-depth research and analysis of the development relationship, influencing factors, and evolution direction between manufacturing and service industries in the perspective of deep learning. Firstly, based on the current development status of the two industries, the influencing factors of mutual evolution are summarized, including environment, market, technology, and management. Secondly, the computer is used to construct the evolution models of the two major industries. The simulation verification and evolution feature extraction are carried out.

The Influence of Science Technology Engineering Arts Mathematics-Based Psychological Capital Combined With Ideological and Political Education on the Entrepreneurial Performance and Sports Morality of College Teachers and Students

This study aims to alleviate the current tense employment situation and study the entrepreneurial situation of teachers and students in colleges and universities. Firstly, based on the educational concept of Science Technology Engineering Arts Mathematics (STEAM), Ideological and Political Education (IPE) is added to psychological capital to explore the effect of the combination of the two on entrepreneurial performance. An entrepreneurial performance impact model is constructed, and the questionnaire is set. Secondly, the influence of psychological capital combined with IPE on sports morality is explored, and a sports morality questionnaire is designed. Finally, the questionnaire results are analyzed. The results showed that most of the participants in the survey are under the age of 25. The 25- to 29-year-olds are the smallest among those surveyed. The respondents who participated in the survey had the most undergraduate degrees, accounting for 43.4%. The 40 items on entrepreneurial performance this time obey a normal distribution, and the scale has good reliability and validity. The main factor analysis results obtained by principal component analysis include 6 factors. Their total explanatory power exceeds 67%, and the six factors screened out this time are well represented. The model tolerance is between 0.45 and 0.5, and the Variance Inflation Factor (VIF) value is less than 10. The scale does not suffer from multi-collinearity issues. IPE significantly strengthens the effect of psychological capital on entrepreneurial performance. The influences of various sports on sportsmanship, bravery, self-confidence, and self-transcendence are significantly different, and the P value is less than 0.001. The difference in aggressiveness is less than 0.01, indicating that it is very significant. Different sports have significant differences in the cultivation of sports morality, and the P value is less than 0.05. The differences in self-discipline are also significant, and there are extremely significant differences in compliance with rules, and the P value here is less than 0.001. There are no significant differences in sporting qualities. IPE combined with psychological capital has a significant impact on entrepreneurial performance. These contents provide references for the entrepreneurship education of teachers and students in colleges and universities. The contribution lies in expanding the research on psychological capital in entrepreneurial performance and laying a foundation for the combination of psychological capital and IPE.

Innovative Strategies for Talent Cultivation in New Ventures Under Higher Education

This study aims to help enterprises enhance their innovation capabilities in the environment of knowledge economy globalization and stand out in the fierce industry competition. Firstly, data on existing higher education theories and innovation theories are analyzed. Secondly, two companies in the sample data are selected for detailed analysis. Finally, research conclusion and corresponding talent management strategies are presented. The results show that the cumulative contribution value of employees is 87.496%. The cumulative contribution value of human capital is 70.322%. The contribution value of cumulative innovation performance is 61.658%. The cumulative contribution value of R&D investment is 45.306%. The coefficient for the overall sample size is 0.509. The employee quality coefficient is 0.452. The correlation coefficient for educational attainment is 0.598. The high-tech service industry has the highest correlation coefficient at 0.504. The auto industry has the highest coefficient at 0.669. The experimental research has drawn the following conclusion: (1) Talents positively affect enterprise innovation performance; (2) Research and Development (R&D) investment has a positive correlation with enterprise innovation performance; (3) R&D investment has a positive correlation with talents. Through experimental research, the education level of employees is measured by academic qualifications, but the essence of academic qualification measurement is the level of knowledge and skills that employees have. In summary, the study can extend the strategic analysis of the cultivation of innovative talents and play a valuable auxiliary role in cultivating innovative talents.

Application of Dance Movement Therapy to Life-Death Education of College Students Under Educational Psychology

The present work aims to efficiently carry out life-death education (LDE) for college students, improve their psychological problems, and reduce suicide accidents by combining LDE with Dance Movement Therapy (DMT). DMT is a psychosomatic cross therapy that treats mental or physical diseases through dance or improvisation. Firstly, this paper introduces LDE and DMT and designs the activities of DMT intervention. Secondly, the relationship between DMT and LDE is analyzed. Finally, a questionnaire survey is conducted on the research objects. The research objects are divided into the experimental group receiving DMT intervention, the control group participating in sports dance courses, and the benchmark group. The research data show no significant difference in interpersonal skills and emotional psychology among the three groups. The DMT intervention group has substantial changes in other factors except for the conflict control ability before and after the intervention. In addition, the questionnaire survey results after the intervention demonstrate that the DMT intervention group gets a significantly higher score in the interpersonal relationship, interpersonal relationship building ability, moderate rejection ability, self-disclosure ability, and emotional support ability. Therefore, DMT intervention positively impacts college students' interpersonal relationships. After the sports dance course, there are differences in the total score of interpersonal ties and scores of interpersonal relationships building ability, self-disclosure ability, and emotional support ability in the control group, but with no significant difference in moderate rejection ability and conflict control ability. Therefore, compared with traditional psychotherapy methods, the DMT method reported here is conducive to releasing pressure and alleviating physical and mental anxiety. The research content provides new ideas for psychological education in colleges and universities and contributes to improving college students' suicidal tendencies and helping college students grow up healthily.

The Multimodal Sentiment Analysis of Online Product Marketing Information Using Text Mining and Big Data

Currently, the internet is increasingly popular. More people are used to sharing their feelings about various things on the internet. Online product marketing information is also growing. How to mine the required information from the massive information with the support of big data technology has become a big problem. Thereby, based on the text mining of online product marketing information, this work discusses the text preprocessing methods and the temporal convolution network (TCN) based on a convolutional neural network (CNN). Moreover, on this basis, multimodal attention mechanism (AM) and cross-modal transformer structure are added to build a TCN based on AM (AM-TCN) model to analyze the multimodal emotion of online product marketing information. The results show that the accuracy of the AM-TCN model is 2.88% higher than that of the TCN model alone, and F1 is 3.47% higher. Moreover, the accuracy rate of the AM-TCN is 1.22% higher than that of the next highest recurrent multistage fusion network, and the F1 value is 0.95% higher.