It is generally considered that various regulatory activities between genes are contained in the gene expression datasets. Therefore, the underlying gene regulatory relationship and the biologically useful information can be found by modeling the gene regulatory network from the gene expression data. In our study, two unsupervised matrix factorization methods, independent component analysis (ICA) and nonnegative matrix factorization (NMF), were proposed to identify significant genes and model the regulatory network using the microarray gene expression data of Alzheimer's disease (AD). By bio-molecular analyzing of the pathways, the differences between ICA and NMF have been explored and the fact, which the inflammatory reaction is one of the main pathological mechanisms of AD, is also emphasized. It was demonstrated that our study gave a novel and valuable method for the research of early detection and pathological mechanism, biomarkers' findings of AD.
Algorithms ; Alzheimer Disease ; genetics ; Gene Expression Profiling ; methods ; Humans

Objective:To explore the effect of communication competence and psychological resilience on job burnout among Operating Room nurses.Methods:From March to June 2023, randomized clustering sampling was used to select 138 registered Operating Room nurses from four ClassⅢ Grade A hospitals in Taizhou for investigation. The survey was conducted using the general information questionnaire, Operating Room Nurses' Job Stressor Scale, Chinese version of the Connor-Davidson Resilience Scale, Nurses' Clinic Communication Competence Scale, and Maslach Burnout Inventory-General Survey. Hierarchical linear regression analysis was used to explore the effects of communication competence and psychological resilience on job burnout among Operating Room nurses.Results:A total of 138 questionnaires were sent out, and 133 valid questionnaires were collected, with a valid response rate of 96.38% (133/138). Among 133 Operating Room nurses, the job burnout score was (56.35±9.28), and the communication competence, psychological resilience, and work stress scale scores were (196.71±18.92), (78.09±18.31), and (96.37±22.47), respectively. Pearson correlation showed that job burnout among Operating Room nurses was negatively correlated with psychological resilience ( r=-0.475, P<0.01) and communication competence ( r=-0.241, P<0.01), and positively correlated with work stress ( r=0.360, P<0.01). Hierarchical linear regression analysis showed that, after controlling for other variables, psychological resilience and communication competence were the influencing factors of job burnout among Operating Room nurses ( P<0.01), which could explain 17.70% of the variation. Conclusions:The level of job burnout among Operating Room nurses is relatively high, and psychological resilience and communication competence are independent influencing factors. Managers can provide psychological counseling and support services for Operating Room nurses, offer communication competence training programs, and prevent and reduce job burnout among Operating Room nurses.