Aims The purpose of this study was to identify risk factors for cognitive impairment in advanced cancer patients and to develop predictive models based on these risk factors. Background Cancer‐related cognitive impairment seriously affects the quality of life of advanced cancer patients. However, neural network models of cognitive impairment in patients with advanced cancer have not yet been identified. Design A cross‐sectional design was used. Methods This study collected 494 questionnaires between January and June 2022. Statistically significant clinical indicators were selected by univariate analysis, and the artificial neural network model and logistic regression model were used for multivariate analysis. The predicted value of the model was estimated using the area under the subject's working characteristic curve. Result The artificial neural network and the logistic regression models suggested that cancer course, anxiety and age were the major risk factors for cognitive impairment in advanced cancer patients. All the indexes of artificial neural network model constructed in this study are better than those of the logistic model. Conclusion The artificial neural network model can better predict the risk factors of cognitive impairment in patients with advanced cancer. Better prediction will enable nurses and other healthcare professionals to provide better targeted and timely support.

To explore the application effect of the Knowledge, Attitude, and Practice (KAP) model combined with motivational interviewing for health education in the chronic disease management of female patients with systemic lupus erythematosus (SLE). In this study, 84 women with SLE who were admitted to a tertiary hospital in Tianjin from July 2021 to April 2022 were enrolled in this study and divided into observation (n = 42) and control groups (n = 42). The control group received routine health education and treatment for chronic diseases. Based on the control group, the KAP method and questionnaire survey were adopted. Health literacy and compliance in the 2 groups were compared in the first and third months after the intervention. The observation group had a higher total score of health literacy in the third month than the control group. From before the intervention to the first and third months, improvement in the observation group was compared with that in the control group ( F = 36.543, P 6..001; F = 4.884, P = .03; F = 23.881, P 3..001). The observation group had a higher total compliance score in the third month than the control group ( t = 5.101, P = .007). From before the intervention to the first and third months of the intervention, the improvement in the observation group demonstrated an interaction with the time group compared with that in the control group ( F = 68.116, P 8..001; F = 4.884, P = .032; F = 24.789, P < .001). Motivational interviewing based on the KAP model is effective in the short-term overall health literacy of female patients with SLE, especially in terms of communication, health improvement, and information acquisition; after 3 months, it can influence and maintain high patient compliance.

The Bohai Sea is a seismically active region in China, and the studying of the velocity structure of Bohai Sea and its relationship with earthquake may be helpful to the analysis and prediction of earthquakes. Now, ambient noise tomography is an effective tool to obtain crust and upmost mantle structure. In this paper, the S-wave velocity model of the crust beneath the Bohai Sea and its surrouding areas in China was constructed applying ambient noise tomography method, with steps of calculating cross correlations of all possible vertical-component data recorded in 2013 year, retrieving Empirical Green's Functions (EGFs) for Rayleigh wave, measuring and assessing phase velocity-dispersion curves, creating the phase-velocity maps for the 8-35 s period of the Rayleigh wave, constructing the phase velocity maps and inverting the S-wave velocity structure. We work on the statistics and analysis of the characteristic relationship between crustal S-wave velocity and the temporal and spatial distribution of small earthquakes. The results from all available vertical profiles along different directions reveal that small earthquakes usually occur at the edge of the low-velocity anomaly within the shallow crust in a certain velocity range and, under special conditions, even in a distinct velocity contour. The locations of occurrence are closely related to undulating changes of the corresponding Moho morphology and the locally high Vs anomalies within the middle crust.