Numerical Study of the Biomechanical Behavior of a 3D Printed Polymer Esophageal Stent in the Esophagus by BP Neural Network Algorithm

Esophageal disease is a common disorder of the digestive system that can severely affect the quality of life andprognosis of patients. Esophageal stenting is an effective treatment that has been widely used in clinical practice.However, esophageal stents of different types and parameters have varying adaptability and effectiveness forpatients, and they need to be individually selected according to the patient’s specific situation. The purposeof this study was to provide a reference for clinical doctors to choose suitable esophageal stents. We used 3Dprinting technology to fabricate esophageal stents with different ratios of thermoplastic polyurethane (TPU)/(Poly-ε-caprolactone) PCL polymer, and established an artificial neural network model that could predict the radial forceof esophageal stents based on the content of TPU, PCL and print parameter. We selected three optimal ratios formechanical performance tests and evaluated the biomechanical effects of different ratios of stents on esophagealimplantation, swallowing, and stent migration processes through finite element numerical simulation and in vitrosimulation tests. The results showed that different ratios of polymer stents had different mechanical properties,affecting the effectiveness of stent expansion treatment and the possibility of postoperative complications of stentimplantation.

Analysis on Problem of Rural Surplus Labor and Recommendations for Rural Labor Transfer

Based on the historical development of the problem of rural surplus labor in China,this paper explored its development path.It made an in-depth analysis of the obstacles in the process of rural labor transfer and put forward relevant recommendations,including strengthening the cultural knowledge and skills training of the rural surplus labor,improving the relevant systems after migrant workers enter cities,strengthening the protection of the legal rights and interests of migrant workers,and vigorously developing the rural labor transfer market.

Teacher Efficacy and Affective Well-Being in Hong Kong:An Examination of Their Relationships and Individual Differences

Purpose-The aim of this study is to explore the relationships between dimensions of teacher efficacy and affective well-being while focusing on the roles of demographic characteristics(gender,grade level,educational background,and seniority).Design/Approach/Methods-1,115 primary and 541 secondary school teachers in Hong Kong participated in the questionnaire survey.A series of t-tests,ANOVA,correlation analysis,and hierarchical multiple regressions were conducted.Findings-The younger teachers reported lower scores for well-being and efficacy than their senior counterparts,and the female and primary school teachers reported significantly higher levels of teacher efficacy for student engagement than their respective counterparts.Of the dimensions of affective well-being,pleasant affect was more closely related to teacher efficacy than negative affect,and the activated pleasant dimension of enthusiasm had the strongest influence.Of the three dimensions of teacher efficacy,efficacy for student engagement was most strongly associated with affective well-being.Originality/Value-The study revealed that teachers’affective well-being is not only important in itself,but also contributes to classroom teaching.The enthusiasm and passion possessed and maintained by teachers could play important roles in enhancing their self-efficacy.Furthermore,maintaining a good affective well-being status and even a modest level of anxiety contributes to their efficacy for student engagement,a dimension on which teachers reported the least confidence.Suggestions were put forward on how to improve teacher efficacy and well-being.