Homogenization of hospital culture across multiple campuses / 现代医院

Objective To analyze the current cultural state of the hospital culture with multiple campuses,identify fac-tors influencing its development,and propose targeted strategies for integration and harmonization of culture across the hospital's branches.Methods The Cite Space was employed for the annual literature statistics and knowledge mapping of hospital culture of multiple campuses.A survey with a questionnaire was then conducted among 110 employees of a public dental hospital in Zhe-jiang Province.The factors influencing the development of culture were investigated.Results The volume of research literature on multi-campus hospital culture was observed to have been upsurge since 2020,with a rapid increase in the publications from 2020 to 2022.The knowledge map of keywords indicated a diversification in the research focuses on multi-campus public hospi-tals,with"cultural construction"emerging prominently between 2019 and 2020,with a burst strength of 1.47.Cultural construc-tion became a focal keyword in multi-campus hospital research.Pearson correlation analysis revealed multi-campus hospital cul-ture was significantly positively correlated with healthcare services,Party and group organization construction,image promotion,and human resource distribution across campuses(P＜0.01).Conclusion Research on the construction of culture in multi-campus hospital is gaining momentum.As hospitals continue to expand in scale,there is a need to strengthen the Party-led gov-ernance,diversify cultural construction efforts,strategically plan disciplines,manage medical quality through homogenized ap-proaches,accommodate differences within the cultural system,and establish a unified brand image.

Progress in epigenetic mechanism of hyperandrogen-induced polycystic ovary syndrome / 中国病理生理杂志

Polycystic ovary syndrome(PCOS)is characterized by high heterogeneity and heredity,and its exact pathogenesis is still not clear.Some studies have shown that epigenetic disorders,such as hyperandrogen-induced methyla-tion or acetylation of lysine at different sites(K4,K9,and K27)in histone H3,methylation and demethylation modifica-tion of genes related to steroids,hormone receptors and follicular development,and transcriptional control of microRNA or long noncoding RNA,play a central role in the occurrence and development of PCOS.This article reviews the research ad-vances in epigenetic mechanisms(histone modifications,DNA methylation,and noncoding RNA)of PCOS,in order to provide a reference for the prediction and early prevention of PCOS.

The pivotal role of autophagy in bone cells:bone-related cell activity and bone metabolism / 中国组织工程研究

BACKGROUND:The importance of autophagy for maintaining cellular homeostasis and stress response has long been recognized.As a way for cells to selectively clear their damaged organelles to achieve the recycling of cellular components,autophagy has a pivotal role in bone metabolism.OBJECTIVE:To review the role and possible mechanisms of autophagy in regulating bone-related cell activity and function among bone marrow mesenchymal stem cells,osteoblasts,osteocytes,and osteoclasts.METHODS:PubMed was searched for studies related to autophagy using the keywords of "autophagy;bone marrow mesenchymal stem cells;osteoblasts;osteocytes;osteoclasts."RESULTS AND CONCLUSION:We finally included 84 papers.Autophagy plays an important role in bone metabolism.Autophagy is involved in maintaining the balance between mineralization and absorption,and then maintaining bone homeostasis.An appropriate autophagy inducer may also benefit bone remodeling.Abnormal autophagy can lead to disorders of bone balance,leading to diseases such as osteoporosis.We may prevent or treat bone-related diseases by regulating the level of autophagy as its function in maintaining the balance of mineralization and resorption in bone homeostasis.

Research on convolutional neural network and its application on medical image / 生物医学工程学杂志

Recent years, convolutional neural network (CNN) is a research hot spot in machine learning and has some application value in computer aided diagnosis. Firstly, this paper briefly introduces the basic principle of CNN. Secondly, it summarizes the improvement on network structure from two dimensions of model and structure optimization. In model structure, it summarizes eleven classical models about CNN in the past 60 years, and introduces its development process according to timeline. In structure optimization, the research progress is summarized from five aspects (input layer, convolution layer, down-sampling layer, full-connected layer and the whole network) of CNN. Thirdly, the learning algorithm is summarized from the optimization algorithm and fusion algorithm. In optimization algorithm, it combs the progress of the algorithm according to optimization purpose. In algorithm fusion, the improvement is summarized from five angles: input layer, convolution layer, down-sampling layer, full-connected layer and output layer. Finally, CNN is mapped into the medical image domain, and it is combined with computer aided diagnosis to explore its application in medical images. It is a good summary for CNN and has positive significance for the development of CNN.