In the process of conducting implementation research on health service issues, stakeholders' preference for contents related to evidence-based practice (EBP) and implementation strategies is closely related to whether EBP can be effectively implemented.However, multiple preference assessment methods exist, each with their own strengths, weaknesses, and application scenarios, which makes it challenging for researchers to select appropriate and effective preference assessment methods. This paper aims to review the origins, characteristics, and application scenarios of commonly used preference assessment methods, with the hope of providing valuable reference and lessons for domestic scholars to select and apply appropriate preference assessment methods in implementation research.

In the process of conducting implementation research on health service issues, stakeholders' preference for contents related to evidence-based practice (EBP) and implementation strategies is closely related to whether EBP can be effectively implemented.However, multiple preference assessment methods exist, each with their own strengths, weaknesses, and application scenarios, which makes it challenging for researchers to select appropriate and effective preference assessment methods. This paper aims to review the origins, characteristics, and application scenarios of commonly used preference assessment methods, with the hope of providing valuable reference and lessons for domestic scholars to select and apply appropriate preference assessment methods in implementation research.

Objective:To clarify the key genes and biological processes in spermatogenesis, integrate and analyze the differentially expressed genes (DEGs) and key signaling pathways in the differentiation process of human spermatogonia (SPG), and to explore the early molecular mechanism of spermatogenesis, increase the molecular biology understanding of SPG differentiation process.Methods:The transcriptome data of human undifferentiated spermatogonia and differentiated spermatogonia (dSPG) were downloaded from the public database. Hisat2 and StingTie were used to screen DEGs. DEGs were analyzed by gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) functional enrichment analysis. MACS2 software was used to analyze the open chromatin regions (OCRs) in ATAC-seq data.Results:A total of 8 532 DEGs were screened, including 4 127 up-regulated genes and 4 405 down-regulated genes. They regulate the differentiation of SPG through some important biological processes, such as cell cycle, cytokine-mediated signaling pathways, organic matter metabolism, cell movement, and methylation. KEGG enrichment analysis showed that some important signaling pathways including FoxO signaling pathway and JAK-STAT signaling pathway played an important role in SPG differentiation. GO enrichment analysis showed that methylation played an important role in the differentiation of SPG, and the expression of methylation-related genes was significantly different. The TDRDs family was significantly enriched, and 9 TDRDs genes were found to be more active in dSPG. Conclusion:In this study, the differentially expressed genes during SPG differentiation were identified by bioinformatics analysis, and the differences in transcription and chromatin levels of key genes were clarified, which laid an important theoretical foundation for the study of SPG differentiation mechanism.

Objective:To clarify the key genes and biological processes in spermatogenesis, integrate and analyze the differentially expressed genes (DEGs) and key signaling pathways in the differentiation process of human spermatogonia (SPG), and to explore the early molecular mechanism of spermatogenesis, increase the molecular biology understanding of SPG differentiation process.Methods:The transcriptome data of human undifferentiated spermatogonia and differentiated spermatogonia (dSPG) were downloaded from the public database. Hisat2 and StingTie were used to screen DEGs. DEGs were analyzed by gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) functional enrichment analysis. MACS2 software was used to analyze the open chromatin regions (OCRs) in ATAC-seq data.Results:A total of 8 532 DEGs were screened, including 4 127 up-regulated genes and 4 405 down-regulated genes. They regulate the differentiation of SPG through some important biological processes, such as cell cycle, cytokine-mediated signaling pathways, organic matter metabolism, cell movement, and methylation. KEGG enrichment analysis showed that some important signaling pathways including FoxO signaling pathway and JAK-STAT signaling pathway played an important role in SPG differentiation. GO enrichment analysis showed that methylation played an important role in the differentiation of SPG, and the expression of methylation-related genes was significantly different. The TDRDs family was significantly enriched, and 9 TDRDs genes were found to be more active in dSPG. Conclusion:In this study, the differentially expressed genes during SPG differentiation were identified by bioinformatics analysis, and the differences in transcription and chromatin levels of key genes were clarified, which laid an important theoretical foundation for the study of SPG differentiation mechanism.

To evaluate the cost-effectiveness of two cephosporin antibiotics in the treatment of lung RRinfections. Method: The cost and effectiveness of two therapy regimens in treatme nt of lung infections were compared by cost-effectiveness analysis. Result: Ceftriaxone was a cost-effective antibiotic compared with su lperazon (cefaperazone sulbactam) to treat lung infections. Conclusio n: The analysis result showed that pharmacoeconomics was avery impor tant for rational use of drug and decrease of medical care cost.

AIM: To explore the change and the possible role of MAPKs in rat hippocampus neuron after sleep deprivation. METHODS: The morphology of hippocampus neuron after sleep derivation was observed by TUNEL and HE staining, the activity of ERK was assayed by ?-liquid scintillation counting and the expression of JNK was detected by Western blot. RESULTS: In paradoxical sleep deprivation (PSD) group, the number of apoptotic cells in hippocampus was increased. The scores of ERK activity were (1 764.00)?941.56. Compared with control groups, the ERK activity was obviously decreased (P