Multiple mediation effects of health locusof control and hope on the relationshipbetween stroke patients’ social supportand self-management

Objective:This study aimed to identify the mediation effects of health locus of control(HLC)and hope between stroke patients’social support and self-management.Methods:A cross-sectional study was conducted.A total of 300 Chinese stroke patients were recruited by convenient sampling from the acupuncture department of two Chinese Traditional Medical Hospitals in Tianjin Province from June to September 2018.The self-report questionnaires include Social Support Assessment Scale,Herth Hope Index,Mental Health Locus of Control Scale,Stroke Self-management Behavior Scale,and personal information questionnaires.All the survey data were entered in Excel and analyzed using the SPSS 24.0 program.Mediation was tested with Bootstrapping in AMOS 23.0 program.Results:The result showed that internal health locus of control(IHLC),chance health locus of control(CHLC)and hope were the mediators between social support and self-management.The direct,indirect,and total effects of social support on self-management behavior were 0.306 (P<0.01),0.109(P<0.01),and 0.415(P<0.01),respectively.Conclusions:Social support can directly influence self-management,and it can also indirectly influence self-management through IHLC,CHLC,and hope.

Numerical assessment of the erosion risk for cavitating twisted hydrofoil by three methods

In this paper, the large eddy simulation (LES) method in conjunction with the Zwart cavitation model is adopted for the assessment of the erosion risk on a hydrofoil surface. The numerical results are in good agreement with the experiments. On this basis, three methods, namely the intensity function method (IFM), the time-averaged aggressiveness indicators (TAIs) and the gray level method (GLM), are applied for the assessment of the erosion risk. It is shown that the erosion intensity index of the IFM is extremely sensitive to the artificially selected thresholds, which greatly limits the application of the method. The erosion risk predicted by four indicators in the TAIs does not agree well with the experimental results. Further analysis demonstrates that the GLM using the instantaneous pressure field is relatively satisfactory, which can provide a reasonable assessment of the erosion and is not very sensitive to the artificially selected thresholds. To further improve the accuracy of the GLM for the erosion risk prediction, the time-average pressure field is adopted in the GLM for the erosion evaluation. It is suggested that the erosion assessment by using the time-averaged pressure field is in better agreement with the experimental results when compared with that by using the instantaneous pressure field.