Objective To probe into the relationship between social support, coping styles and resiliency of nurses in surgery department. Methods A total of 192 surgical nurses were selected from a general tertiary hospital in Fuzhou on random cluster sampling basis. The following measures were used to collect data:the Chinese version of Mental Resilience Scale, the Simple Coping Style Questionnaire and the Social Support Rating Scale. Results The resilience score of surgical nurses was (58.41 ± 12.86) points. Also, resilience had positive and significant correlation with positive coping styles, social support, objective support , subjective support and support utilization degree (more specifically r = 0.629, P <0.01 and r = 0.334, P < 0.01, r = 0.242, P < 0.01 and r = 0.312, P < 0.01 and r = 0.156, P < 0.05). Conclusions The overall level of resiliency in surgical nurses was undesirable, however effective problem-based coping skills and adequate social support may help the group improve resilience and to qualify for better nursing services.

Objective:To analyze the understanding of medical care and management professional positioning and core competency from different perspectives of universities and enterprises based on mixed research.Methods:From February to May 2022, a total of 22 experts in education management from 6 elderly care service enterprises in Fujian Province and 9 universities nationwide were selected for interviews using purposive sampling. The interview included two questions, involving professional target positions and core job competences in medical care and management major. Colaizzi phenomenological 7-step analysis method was used to analyze interview data. In June to August 2022, convenience sampling was used to select 30 employees from 21 elderly care service enterprises nationwide and 362 teaching staff from undergraduate and vocational universities in 22 provinces and municipalities directly under the Central Government to investigate their evaluation of the core competencies of medical care and management.Results:The results of qualitative interviews showed that the medical care and management profession was positioned as 3 types of positions, including care, training, and management. Medical care and management should possess 4 core job competences, including medical and nursing care ability, management ability, communication and coordination ability, and education ability. The survey results showed that communication and coordination abilities, as well as basic care abilities, were considered the main core competencies of the profession.Conclusions:The establishment of core courses in the field of medical care and management should be based on knowledge and skill analysis focusing on the actual job content and characteristics of care, training, and management, and develop a curriculum system that is closely related to the actual work position, emphasizing the cultivation of students' communication and coordination abilities, basic care and elderly related skills.

Significantly increasing crop yield is a major and worldwide challenge for food supply and security. It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide. Yet, the gene regulatory mechanism underpinning this ultrahigh yield has been a mystery. Here, we systematically collected the transcriptome data for seven key tissues at different developmental stages using rice cultivated both at Taoyuan as the case group and at another regular rice planting place Jinghong as the control group. We identified the top 24 candi-date high-yield genes with their network modules from these well-designed datasets by developing a novel computational systems biology method, i.e., dynamic cross-tissue (DCT) network analysis. We used one of the candidate genes, OsSPL4, whose function was previously unknown, for gene editing experimental validation of the high yield, and confirmed that OsSPL4 significantly affects panicle branching and increases the rice yield. This study, which included extensive field phenotyping, cross-tissue systems biology analyses, and functional validation, uncovered the key genes and gene regulatory networks underpinning the ultrahigh yield of rice. The DCT method could be applied to other plant or animal systems if different phenotypes under various environments with the common genome sequences of the examined sample. DCT can be downloaded from https://github.com/zt-pub/DCT.