Abstract In response to the necessity of psychological counselling for college student's mental health, this paper proposes a psychological counselling and assessment system based on PGCapsNet. The system aims to achieve both college students' psychological health assessment and real-time online counseling, while improving the accuracy of predicting their mental health status. Having an experienced psychological counsellor is crucial for college students'... In response to the necessity of psychological counselling for college student's mental health, this paper proposes a psychological counselling and assessment system based on PGCapsNet. The system aims to achieve both college students' psychological health assessment and real-time online counseling, while improving the accuracy of predicting their mental health status. Having an experienced psychological counsellor is crucial for college students' mental health and crisis management. The simulation results demonstrate that compared to other models, using the PGCapsNet model can effectively improve the levels of precision, recall, F1-measure, and accuracy of the college student psychological counseling system, achieving 70%, 75%, 72%, and 74%, respectively. This validates the feasibility and superiority of this design. This paper discusses a novel algorithm that combines capsule networks and convolutional neural networks, incorporating dynamic routing algorithms and deep learning capabilities. Read More Read Less

Abstract In the computer age, data is the most valuable resource. Based on big data analysis technology, we have constructed an intelligent physical training model for college students to better control their training pace. Simulation technology was also used to study and evaluate the operability of this technology, in the hopes of providing more effective training programs for college students. The... In the computer age, data is the most valuable resource. Based on big data analysis technology, we have constructed an intelligent physical training model for college students to better control their training pace. Simulation technology was also used to study and evaluate the operability of this technology, in the hopes of providing more effective training programs for college students. The research found that in the field of big data analysis, it is important to use intelligent training methods to control and adjust the competition time and intensity of college students. This method not only helps us to formulate and implement competition plans more swiftly but also aids in better understanding and handling a large amount of information, thereby improving the efficiency and quality of competitions. Hence, this method is worth our effort and promotion. Read More Read Less

Abstract Constructing an evaluation system for the practical effects of college Marxist ideological and political education courses is beneficial for assessing existing ideological and political education work and also serves as a “compass” for improving corresponding work. Therefore, this study explores the practical effects of college Marxist ideological and political education courses based on a computer artificial neural network model. The... Constructing an evaluation system for the practical effects of college Marxist ideological and political education courses is beneficial for assessing existing ideological and political education work and also serves as a “compass” for improving corresponding work. Therefore, this study explores the practical effects of college Marxist ideological and political education courses based on a computer artificial neural network model. The article first establishes a “three-dimensional index system” for evaluating ideological and political education in colleges based on the characteristics of artificial neural networks. Then, it introduces the computer artificial backpropagation (BP) neural network evaluation method and obtains strong empirical support through simulation experiments. Finally, a feasible “college artificial neural network ideological and political education evaluation model” is constructed. The simulation experiments show that the model’s actual output is very close to the expected results, and satisfactory results are achieved when testing the model with sample data. Using the BP neural network model effectively eliminates traditional evaluation methods, significantly increasing the implementation efficiency of the evaluation. The improvement of the BP neural network enhances its flexibility and performs excellently in training. The model’s expected performance in simulation experiments is highly consistent with actual performance, and it also achieves satisfactory results when measuring its performance using test data. In the field of college Marxist ideological and political education, it is a widely used evaluation method. Read More Read Less

Abstract The purpose of this article is to examine the cultural change needed by universities, as identified by LERU in its report Open Science and its role in universities: a roadmap for cultural change.1 It begins by illustrating the nature of that cultural change. Linked to that transformation is a necessary management change to the way in which organizations perform research.... The purpose of this article is to examine the cultural change needed by universities, as identified by LERU in its report Open Science and its role in universities: a roadmap for cultural change.1 It begins by illustrating the nature of that cultural change. Linked to that transformation is a necessary management change to the way in which organizations perform research. Competition is not the only, or necessarily the best, way to conduct this transformation. Open science brings to the fore the values of collaboration and sharing. Building on a number of Focus on Open Science Workshops held over five years across Europe, the article identifies best practice in changing current research practices, which will then contribute to the culture change necessary to deliver open science. Four case studies, delivered at Focus on Open Science Workshops or other conferences in Europe, illustrate the advances that are being made: the findings of a Workshop on Collaboration and Competition at the OAI 11 meeting in Geneva in June 2019; alternative publishing platforms, exemplified by UCL Press; open data, FAIR data and reproducibility; and a Citizen Science Workshop held at the LIBER Conference in Dublin in June 2019. Read More Read Less