Glossoscopy is one of the essential part of four diagnostic methods of TCM, and objectification of tongue inspection is an important component of the TCM modernization, image collecting and analyzing technology is its major means. In the research of tongue image, extraction of the body of tongue, the segmentation of body and fur of tongue are important procedure in the recognition of tongue image. In recent years, the information study of tongue inspection has been profound gradually with the development of technology of image analysis. This paper discusses research status of extraction of the body of tongue, the segmentation of body and fur of tongue.

PURPOSE: This study aims to investigate how competitive orientation influences unethical decision-making (UDM) through relationship conflict and the moderating effect of hostile attribution bias. METHODS: This study was conducted using a self-report questionnaire. Data were collected from 727 employees in Chinese hospitals. For each variable, measures were adopted or adapted from existing literature. Data were analyzed using descriptive statistics, correlation analysis, confirmatory factor analysis, and hierarchical regression analysis. Common method variance was established using Harman's single-factor test. RESULTS: Competitive orientation is significantly and positively associated with relationship conflict (β = .36, p < .001) and UDM (β = .35, p < .001). Relationship conflict is significantly and positively associated with UDM (β = .51, p < .001). Relationship conflict partially mediates the relationship between competitive orientation and UDM. In addition, hostile attribution bias strengthens the positive relationship between competitive orientation and UDM through relationship conflict. CONCLUSION: This study provides some implications for hospital employees to deal with ethical dilemmas in decision-making. Hospital employees including nurses, physicians, and other health-care professionals should raise awareness of competitive orientation and adopt a cooperative approach to human relations. Effective training programs should be utilized to direct all hospital employees to depress hostile attribution bias whenever possible to everything in clinical practice.
Asian Continental Ancestry Group ; Bias (Epidemiology) ; Conflict (Psychology) ; Decision Making ; Education ; Ethics, Clinical ; Hostility ; Humans ; Methods

Purpose: Drawing on person–environment fit theory and social cognitive theory, this study aimed to examine how self-efficacy affects nurses’ workplace well-being via person-job fit and the moderating role of digital competence. Methods: A two-wave survey was conducted to collect data. Data were collected from six hundred and ninety-five nurses at three Chinese hospitals between May 2022 and September 2022. We employed hierarchical regression analysis and bootstrapping to analyze the data. Results: Self-efficacy positively influenced person-job fit (β = .55, p < .001), which positively affected nurses’ workplace well-being (β = .32, p < .001). Person-job fit mediated the effect of self-efficacy on nurses’ workplace well-being. Additionally, digital competence strengthened the positive impact of self-efficacy on person-job fit (β = .12, p < .001). Conclusion Recruiting nurses with both self-efficacy and digital competence benefits hospitals. It is critical for nurses to improve their digital competence for achieving person-job fit and attaining workplace well-being in the post-coronavirus disease 2019 (COVID-19) era.

It has been reported that ACE2 is the main host cell receptor of 2019-nCoV and plays a crucial role in the entry of virus into the cell to cause the final infection. To investigate the potential route of 2019-nCov infection on the mucosa of oral cavity, bulk RNA-seq profiles from two public databases including The Cancer Genome Atlas (TCGA) and Functional Annotation of The Mammalian Genome Cap Analysis of Gene Expression (FANTOM5 CAGE) dataset were collected. RNA-seq profiling data of 13 organ types with para-carcinoma normal tissues from TCGA and 14 organ types with normal tissues from FANTOM5 CAGE were analyzed in order to explore and validate the expression of ACE2 on the mucosa of oral cavity. Further, single-cell transcriptomes from an independent data generated in-house were used to identify and confirm the ACE2-expressing cell composition and proportion in oral cavity. The results demonstrated that the ACE2 expressed on the mucosa of oral cavity. Interestingly, this receptor was highly enriched in epithelial cells of tongue. Preliminarily, those findings have explained the basic mechanism that the oral cavity is a potentially high risk for 2019-nCoV infectious susceptibility and provided a piece of evidence for the future prevention strategy in dental clinical practice as well as daily life.