This paper reviews the measurement tools and influencing factors of nursing ethical decision-making ability of undergraduate nursing students. It summarizes from three aspects including own factors of nursing students, environmental factors and measures to promote ethical decision-making ability of nursing students, so as to provide reference for nursing educators to take effective measures to improve ethical decision-making ability of undergraduate nursing students.

Objective:To predict Chinese materia medica that may prevent and treat coronary microvascular dysfunction (CMD) by identifying disease core targets.Methods:CMD- related targets were obtained through GeneCards and OMIM databases. Subnetworks were extracted by using MCODE plugin in Cytoscape 3.9.1. Core targets of subnetworks were obtained by using cytoNCA plugin. GO function and KEGG pathway enrichment analysis for core targets were performed by using Metascape. Coremine Medical database was used to match targets with Chinese materia medica. Obtained Chinese materia medica was screened, and their properties and tastes, meridians and efficacy categories were under statistics.Results:Totally 3 859 disease-related targets were screened and five subnetworks were obtained. An in-depth study of MCODE1 yielded ten core targets, including IL-1β, IL6, TNF, STAT3, AKT1, ACTB, VEGFA, GAPDH, TP53, and ALB. GO functional enrichment analysis showed that these core targets were mainly involved in biological processes, such as positive regulation of gene expression, positive regulation of transcription, DNA template, and negative regulation of gene expression. KEGG pathway enrichment analysis identified 67 signaling pathways, including the AGEs-RAGE signaling pathway, HIF-1 signaling pathway, adipocytokine signaling pathway, fluid shear stress, and atherosclerosis. The researchers identified 36 kinds of Chinese materia medica associated with the ten core targets, including Salviea Miltiorrhizae Radix et Rhizoma, Chuanxiaong Rhizoma, Carthami Flos, Paeoniae Radix Rubra, Coptidis Rhizoma, Ginseng Radix et Rhizoma, Ophiopogonis Radix, Schisandrae Chinensis Fructus, Cinnamomi Cortex, Nelumbinis Semen, and Valerianae Jatamansi Rhizoma et Radix among 880 herbs.Conclusion:This study predicts 36 kinds of Chinese materia medica that have the effect of preventing and treating CMD, which can provide research ideas for the development of new drugs.

Objective To study the stress distributions of the surrounding bone during the dynamic implantation of micro-implants,a finite element model of self-attacking orthodontic micro-implant dynamic implantation was proposed and established.Methods A three-dimensional(3D)oral model was constructed using CBCT data.The local model around the implant and the 3D finite element model of the micro-implant were established using ABAQUS software.The micro-implant was implanted into the jaw with an axial propulsion force of 40 N at a constant speed of 0.5 r/s.Results The 3D finite element model was successfully established to simulate dynamic self-attacking orthodontic micro-implant implantation in the jaw bone.The results showed that implantation stage and thread position had significant effects on bone stress distribution and the stress states of different bones had obvious differences:the maximum stress on the cortical bone was 167 MPa,and the maximum stress at the stable stage was approximately 50 MPa.The maximum stress on cancellous bone was 30 MPa.Conclusions The implantation stage and thread position have apparent influences on stress distribution.The stress difference between the cortical and cancellous bones was evident.The stress characteristics can judge the bone type,and whether the jaw is in a suitable implantation state can be judged by the bone stress distributions around the implant.