Factors influencing work engagement among male nurses: A structural equation model.

AIM: To investigate the male nurses' engagement in nursing work and the influencing factors. DESIGN: A cross-sectional study. METHODS: A cross-sectional survey was conducted in 13 hospitals in China to collect data from 328 male nurses from August to October 2021. A structural equation model design was tested with validated measurement instruments. RESULTS: The work engagement of male nurses in China was at a medium level. There was a high correlation of the male nurses' work engagement with career identity (r = 0.764, p < 0.01), career success (r = 0.735, p < 0.01) and social support (r = 0.477, p < 0.01). The linear multivariate regression analysis showed that career satisfaction (ß = 0.393), career identity (ß = 0.392) and subjective support (ß = 0.116) entered regression equation of male nurses' work engagement (all p < 0.05). The structural equation model results showed that career identity and social support were the influencing factors of the male nurses' work engagement and the model explained variation of 66.4% variables. CONCLUSION: To know the male nurses' work engagement and influencing factors in China has certain enlightening significance for male nurses themselves and nursing manager. On the one hand, it is necessary to enhance the male nurses' career recognition to nursing work. On the other hand, the society should provide more aid and support to the male nurses. Therefore, the male nurses could devote more into nursing work and promote the nursing development.

Latent profile analysis of security among patients with COVID-19 infection in mobile cabin hospitals and its relationship with psychological capital.

Aim: COVID-19 patients' security is related to their mental health. However, the classification of this group's sense of security is still unclear. The aim of our research is to clarify the subtypes of security of patients infected with COVID-19, explore the factors affecting profile membership, and examine the relationship between security and psychological capital for the purpose of providing a reference for improving patients' sense of security and mental health. Methods: A total of 650 COVID-19 patients in a mobile cabin hospital were selected for a cross-sectional survey from April to May 2022. They completed online self-report questionnaires that included a demographic questionnaire, security scale, and psychological capital scale. Data analysis included latent profile analysis, variance analysis, the Chi-square test, multiple comparisons, multivariate logistical regression, and hierarchical regression analysis. Results: Three latent profiles were identified-low security (Class 1), moderate security (Class 2), and high security (Class 3)-accounting for 12.00, 49.51, and 38.49% of the total surveyed patients, respectively. In terms of the score of security and its two dimensions, Class 3 was higher than Class 2, and Class 2 was higher than Class 1 (all P < 0.001). Patients with difficulty falling asleep, sleep quality as usual, and lower tenacity were more likely to be grouped into Class 1 rather than Class 3; Patients from families with a per capita monthly household income <3,000 and lower self-efficacy and hope were more likely to be grouped into Classes 1 and 2 than into Class 3. Psychological capital was an important predictor of security, which could independently explain 18.70% of the variation in the patients' security. Conclusions: Security has different classification features among patients with COVID-19 infection in mobile cabin hospitals. The security of over half of the patients surveyed is at the lower or middle level, and psychological capital is an important predictor of the patients' security. Medical staff should actively pay attention to patients with low security and help them to improve their security level and psychological capital.

Career identity and career success among Chinese male nurses: The mediating role of work engagement.

AIM: This study aimed to investigate the effect of career identity on career success among Chinese male nurses and to examine the mediating role of work engagement in this relationship. BACKGROUND: Recently, with the development of the nursing career, male nurses take up a higher share and play a more important role in the nursing team. With its own particularity and advantages, this group's stability closely relates to the future of the nursing team. Therefore, promoting the career success of the male nurses is essential to the nursing team development. METHODS: The data were collected in China. A sample of 557 male nurses completed measures of career identity, work engagement and career success scale. Structural equation model was adopted to verify the research hypotheses. RESULTS: Career identity was significantly and positively related to male nurses' work engagement and career success (p < .01). And work engagement partially mediated the association between career identity and career success. CONCLUSION: Career identity is critical to predicting and enhancing male nurses' career success. Work engagement plays an intervening mechanism explaining how career identity promotes career success among male nurses. IMPLICATIONS FOR NURSING MANAGEMENT: Nursing management should minimize the impact of the traditional concept, implement the gender equality and provide moderate care for male nurses to facilitate balanced development of gender by upgrading the management system. The administrators should carry out skill training based on male nurses' features and the need of the department. Given full play to their respective advantages, male nurses will make great progress in professional development and achieve greater career identity and work engagement. Meanwhile, the further exploration of better incentive mechanism also makes sense in improving career identity and work engagement by the reform of performance appraisal mechanism and salary adjustment according to their ability.

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry.

Imaging Mass Cytometry (IMC) combines laser ablation and mass spectrometry to quantitate metal-conjugated primary antibodies incubated in intact tumor tissue slides. This strategy allows spatially-resolved multiplexing of dozens of simultaneous protein targets with 1µm resolution. Each slide is a spatial assay consisting of high-dimensional multivariate observations (m-dimensional feature space) collected at different spatial positions and capturing data from a single biological sample or even representative spots from multiple samples when using tissue microarrays. Often, each of these spatial assays could be characterized by several regions of interest (ROIs). To extract meaningful information from the multi-dimensional observations recorded at different ROIs across different assays, we propose to analyze such datasets using a two-step graph-based approach. We first construct for each ROI a graph representing the interactions between the m covariates and compute an m dimensional vector characterizing the steady state distribution among features. We then use all these m-dimensional vectors to construct a graph between the ROIs from all assays. This second graph is subjected to a nonlinear dimension reduction analysis, retrieving the intrinsic geometric representation of the ROIs. Such a representation provides the foundation for efficient and accurate organization of the different ROIs that correlates with their phenotypes. Theoretically, we show that when the ROIs have a particular bi-modal distribution, the new representation gives rise to a better distinction between the two modalities compared to the maximum a posteriori (MAP) estimator. We applied our method to predict the sensitivity to PD-1 axis blockers treatment of lung cancer subjects based on IMC data, achieving 97.3% average accuracy on two IMC datasets. This serves as empirical evidence that the graph of graphs approach enables us to integrate multiple ROIs and the intra-relationships between the features at each ROI, giving rise to an informative representation that is strongly associated with the phenotypic state of the entire image.

Enantioselective Synthesis of 1,3-Disubstituted 1,3-Dihydroisobenzofurans via a Cascade Allylboration/Oxo-Michael Reaction of o-Formyl Chalcones Catalyzed by a Chiral Phosphoric Acid.

The first chiral Brønsted acid-catalyzed asymmetric cascade allylboration/oxo-Michael reaction between o-formyl chalcones and allylboronate has been successfully discovered, which afforded chiral 1,3-disubstituted 1,3-dihydroisobenzofurans with a yield, diastereoselective ratio (dr) and enantioselective excess (ee) up to 94%, 2.5:1, and 98%, respectively. In addition, 2,3-dienylboronic pinacol ester was also applied into this cascade reaction with good catalytic results.

Determination of abscisic acid by capillary electrophoresis with laser-induced fluorescence detection.

A novel method based on capillary electrophoresis coupled to laser-induced fluorescence detection (CE-LIF) was developed for the determination of abscisic acid (ABA), which is an essential phytohormone during plant growth and development. ABA was labeled with 8-aminopyrene-1,3,6-trisulfonate via reductive amination in presence of acetic acid and sodium cyanoborohydride. The derivatization yield was maximized by optimizing several derivatization parameters including derivatization reagent concentration, reaction temperature and time. The conjugate was separated and quantitated by CE-LIF. The linearity of ABA was determined in the range from 0.1 to 10 micromol l(-1) with a correlation of 0.9979. The derivatization limit of detection for ABA was found to be 56 fmol (corresponding to the concentration of 2.8 x 10(-8) mol l(-1)). The detection limit for ABA was 5.5 amol for an injection volume of 5 nl. As a preliminary application, the proposed method was successfully applied to determining trace amount of ABA in the crude extracts of tobacco without extra purification and enrichment procedure and showed a better selectivity and sensitivity than those conventional methods used in determination of ABA.