RESUMEN
Objective: This study investigates the current situation and influencing factors of the nursing practice environment in Shenzhen, China, and provides suggestions for improving it. Background: Nursing shortage is an urgent global problem and also of concern in China. Studies have shown that better work environments are related to high job satisfaction and better patient outcomes. Methods: The 37-item Practice Environment Scale was used to assess the nursing practice environment. Respondents were 1116 nurses from five general tertiary hospitals in Shenzhen. Results: The mean satisfaction score for the nursing practice environment was 3.63 ± 0.72 (where 5 is the highest possible score). Position, being a specialist nurse, choice of nursing major, educational attainment, and night shifts significantly affected nurses' working environment satisfaction. Conclusion: The practice environment of nurses was satisfactory. We recommend reducing the workload and encouraging nurses to complete specialist training, and supporting nurses to expand their roles in hospitals and society to improve the nursing practice environment.
RESUMEN
Three-dimensional (3D) image reconstruction of tumors based on serial histological sectioning is one of the most powerful methods for accurate high-resolution visualization of tumor structures. However, 3D histological reconstruction of whole tumor has not yet been achieved. We established a high-resolution 3D model of molecular marked whole laryngeal cancer by optimizing the currently available techniques. A series of 5,388 HE stained or immunohistochemically stained whole light microscopic images (200 ×) were acquired (15.61 TB).The data set of block-face images (96.2 GB) was also captured. Direct volume rendering of serial 6.25 × light microscopy images did not demonstrate the major characteristics of the laryngeal cancer as expected. Based on fusion of two datasets, the accurate boundary of laryngeal tumor bulk was visualized in an anatomically realistic context. In the regions of interest, micro tumor structure, budding, cell proliferation and tumor lymph vessels were well represented in 3D after segmentation, which highlighted the advantages of 3D reconstruction of light microscopy images. In conclusion, generating 3D digital histopathological images of a whole solid tumor based on current technology is feasible. However, data mining strategy should be developed for complete utilization of the large amount of data generated.