Objective To study the methods of the Chinese New Year (CNY) Factor's Adjustment based on the ARIMA models. Methods First, a common regressor for CNY was created. Then, the re-gressor was included in the seasonal ARIMA regressive model(regARIMA or TRAMO) ,AIC or BIC was used for model selection,and the generalized least squares method or maximum likelihood method was used for the earl-mation of model parameter. The estimated regressive coefficient was used for analyzing the degree of the CNY factor. A case was analyzed with the adjustment methods. Results The analysis on the case showed that the methods of the CNY factor's adjustment could remove the effects of the CNY factor on the time series, and the degree of the effects could be esti-mated in quantity. Conclusion The regressor for CNY is applicable,and the methods of the CNY factor's adjustment based on the ARIMA models can be used in seasonal adjustment on the time series. It's a new approach to analyze the effects of the CNY factor.

Objective To explore the influence of individualized nursing intervention on life quality of patients with rheumatoid arthritis. Methods 60 patients were divided into the intervention group and the control group with 30 cases in each group. The intervention group adopted individualized nursing projects according to the influencing factors of life quality based on routine nursing. The control group received routine nursing only. The life quality of the two groups was appraised by inventory before and after intervention. Results The status such as physiological function, mental function, social function and self-recognized health in the intervention group was greatly ameliorated and was statistically different from that in the control group(P＜0.05).Conclusion Individualized nursing intervention could dramatically improve the life quality of patients with rheumatoid arthritis