Objective To investigate the cognition of nurse groups toward nurses' dual practice,and to analyze nurses' tendency to pursuc dual practice and its influencing factors.Methods A questionnaire survey was conducted,and 1010 registered nurses were recruited using stratified sampling method.Results Most (76.4％) nurses agreed with nurses' dual practice.The willingness about nurses' dual practice was significantly different(P=0.022,P=0.008) due to different age and length of service.The top three benefits of nurses' dual practice were to increase reasonable salary of nurses,improve quality of nursing care in community institutions for the aged and increase the utilization of health care resource.As for the disadvantages,disrupting the medical and nursing order,increasing difficulties of management and government's supervision,increasing medical risks.Nurses believed that the main obstacles for nurses' dual practice were the unclear medical risks and the unprotected nurses' interests.Conclusion The nurse groups had a positive and optimistic attitude towards nurses' dual practice.In the case that the government implements relevant laws and regulations,and the interests of nurses are well-guaranteed,nurses' dual practice is a good measure that can improve nurses' work motivation.

Objective To predict the functions of hsa-miR-1908 promoter using various bioinformatic tools, and to provide clues for further study on transcriptional regulation mechanism of miR-1908 in human adipocytes. Methods The promoter se-quence of miR-1908 was obtained from Ensemble, and then the CpG islands and transcription factor binding sites were pre-dicted by a variety of online bioinformatic tools. Results The length of the miR-1908 promoter sequence was 1 458 bp. The CpG islands, which inhibited the transcription of miR-1908, were located at (438-756) bp, (836-937) bp and (979-1374) bp. Meanwhile, 15 transcription factor binding sites were found in the promoter sequence of miR-1908. Conclusions miRNA up-stream promoter related bioinformatics can not only improve the efficiency of microRNA promoter research, but also provide further important information on transcriptional regulation of miR-1908.

Objective To isolate and identify 3 flavonoids (taxifolin, orobol and quercetin) from Cudrania tricuspidata, and develop a method for determining 3 flavonoid constituents in Cudrania tricuspidata. Methods Three flavonoids was isolated from ethanol extract of Cudrania tricuspidata by chromatography, and its structure was identified by nuclear magnetic resonance. The analysis was conducted on an Aglient C18 column (4.6 mm ×250 mm, 5 μm) eluted with 1％ acetic acid and methanol as mobile phases in gradient mode. The flow rate was 1 ml/min and the detection wavelength was set at 310 nm. The column temperature was 25 ℃. Results Taxifolin, orobol and quercetin were isolated from ethanol extract of Cudrania tricuspidata by chromatography. The content of taxifolin, orobol and quercetin were 0.850 mg/g, 0.518 mg/g, 0.103 mg/g. Conclusion The method can be used for the quality control of Cudrania tricuspidata as a reference.

Background: Immunohistochemistry (IHC) has played an essential role in the diagnosis of hematolymphoid neoplasms. However, IHC interpretations can be challenging in daily practice, and exponentially expanding volumes of IHC data are making the task increasingly difficult. We therefore developed a machine-learning expert-supporting system for diagnosing lymphoid neoplasms. Methods: A probabilistic decision-tree algorithm based on the Bayesian theorem was used to develop mobile application software for iOS and Android platforms. We tested the software with real data from 602 training and 392 validation cases of lymphoid neoplasms and compared the precision hit rates between the training and validation datasets. Results: IHC expression data for 150 lymphoid neoplasms and 584 antibodies was gathered. The precision hit rates of 94.7% in the training data and 95.7% in the validation data for lymphomas were not statistically significant. Results in most B-cell lymphomas were excellent, and generally equivalent performance was seen in T-cell lymphomas. The primary reasons for lack of precision were atypical IHC profiles for certain cases (e.g., CD15-negative Hodgkin lymphoma), a lack of disease-specific markers, and overlapping IHC profiles of similar diseases. Conclusions Application of the machine-learning algorithm to diagnosis precision produced acceptable hit rates in training and validation datasets. Because of the lack of origin- or disease- specific markers in differential diagnosis, contextual information such as clinical and histological features should be taken into account to make proper use of this system in the pathologic decision-making process.

Molecular knowledge of human gastric corpus epithelium remains incomplete. Here, by integrated analyses using single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and single-cell assay for transposase accessible chromatin sequencing (scATAC-seq) techniques, we uncovered the spatially resolved expression landscape and gene-regulatory network of human gastric corpus epithelium. Specifically, we identified a stem/progenitor cell population in the isthmus of human gastric corpus, where EGF and WNT signaling pathways were activated. Meanwhile, LGR4, but not LGR5, was responsible for the activation of WNT signaling pathway. Importantly, FABP5 and NME1 were identified and validated as crucial for both normal gastric stem/progenitor cells and gastric cancer cells. Finally, we explored the epigenetic regulation of critical genes for gastric corpus epithelium at chromatin state level, and identified several important cell-type-specific transcription factors. In summary, our work provides novel insights to systematically understand the cellular diversity and homeostasis of human gastric corpus epithelium in vivo.
Humans ; Epigenesis, Genetic ; Gastric Mucosa/metabolism* ; Chromatin/metabolism* ; Stem Cells ; Epithelium/metabolism* ; Fatty Acid-Binding Proteins/metabolism*