Abstract In recent years, with the continuous changes in social environment and educational models, college students are facing increasing pressure and mental health problems are gradually becoming prominent. To effectively address these issues, research on the mental health of college students based on multiple stress management intervention plans has become a topic of great concern. This article will introduce and evaluate... In recent years, with the continuous changes in social environment and educational models, college students are facing increasing pressure and mental health problems are gradually becoming prominent. To effectively address these issues, research on the mental health of college students based on multiple stress management intervention plans has become a topic of great concern. This article will introduce and evaluate the study. This study explores the effectiveness of numerous web-based stress management intervention programs on the mental health of college students. By comparing the experimental group and the control group, the study found that multiple stress management interventions can improve the mental health level of college students, reduce negative emotions such as anxiety and depression, and improve self-efficacy. Specific intervention measures include cognitive reconstruction, emotional regulation, coping skills training, life planning, and other aspects. The research results are of great significance for improving the mental health level of college students and promoting their comprehensive development. Read More Read Less

Abstract Liver disease is a common digestive system disease that seriously affects patients’ quality of life and prognosis. As an emerging treatment method, viral therapy has shown certain potential in treating liver diseases. However, many viral treatment strategies are currently available in the market, and patients and doctors need help in choosing treatment methods. Therefore, this article aims to provide more... Liver disease is a common digestive system disease that seriously affects patients’ quality of life and prognosis. As an emerging treatment method, viral therapy has shown certain potential in treating liver diseases. However, many viral treatment strategies are currently available in the market, and patients and doctors need help in choosing treatment methods. Therefore, this article aims to provide more comprehensive treatment recommendations for patients and doctors by comparing and analyzing clinical biomedical viral therapies based on liver function. This article provides a systematic review and analysis of relevant literature on clinical biomedical online viral therapy based on liver function in recent years. The literature covers various viral treatment strategies, including viral vectors, genetically engineered viruses, and oncolytic viruses. The research results show efficacy, safety, and durability differences among different virus treatment strategies. Some viral treatment strategies have shown high treatment efficiency and good tolerance in clinical trials, while others have specific toxic side effects or treatment limitations. Read More Read Less

Abstract With the improvement of sports competition level, the requirements for sports training are constantly increasing. To overcome the difficulties of trajectory acquisition brought about by complex backgrounds and fast target motion, this paper proposes a sports training trajectory data capture technique based on the mean shift algorithm. The human body model is regarded as a skeletal model with 51 degrees... With the improvement of sports competition level, the requirements for sports training are constantly increasing. To overcome the difficulties of trajectory acquisition brought about by complex backgrounds and fast target motion, this paper proposes a sports training trajectory data capture technique based on the mean shift algorithm. The human body model is regarded as a skeletal model with 51 degrees of freedom and 16 joints, enabling the digitization of training trajectories. Dimension reduction is applied to the trajectory data to reduce computational load. To reduce the dependence of the mean shift algorithm on environmental parameters, the probability density function in the gradient iteration estimation algorithm is selected, utilizing the color information of the target as a feature to capture trajectory data. Experiments demonstrate that the method can accurately capture the movement of each joint in the athlete and complete the capture of training trajectory data without relying on related parameters. Read More Read Less