OBJECTIVE: The aim of this study was to explore the theoretical framework of cells and the forms of osteogenesis in the mechanism by which demineralized dentin matrix (DDM) induces osteogenesis. METHODS: A total of 24 New Zealand rabbits were used in this study. A total of 4 erector spinae bags were created in each animal. A total of 3 erector spinae bags were implanted with DDM by random selection, whereas the remaining one erector spinae bag was not implanted with DDM. The rabbits were sacrificed after 1, 2, 3, 4, 8, 12, 16, and 20 weeks, and the samples were obtained. The samples were examined by hematoxylin-eosin (HE), tartrate-resistant acid phosphatase (TRAP), and immunohistochemical staining to identify the mesenchymal stem cells, osteoblasts, chondrocytes, and osteoclasts. RESULTS: The results of HE staining showed that in the third week, cartilage- and bone-like matrices, as well as the osteoblast-like cells, were observed. The results of immunohistochemical staining showed that the expressions of CD44, alkaline phosphatase (ALP), and collagen Ⅱ were statistically significant 
(P<0.05). CONCLUSIONS DDM has good histocompatibility and osteoinduction. In addition, induced ectopic osteogenesis mode mainly occurs in the endochondral bone.
Animals ; Bone Matrix ; Dentin ; Osteoblasts ; Osteogenesis ; Rabbits ; Tooth Demineralization

Objective To explore the application of the Autoregressive Integrated Moving Average (ARIMA) model in predicting the number of reported hepatitis E cases in Yunnan Province，to use this model to predict the incidence trend of hepatitis E, and to provide reference for the scientific prevention and control of hepatitis E. Methods Monthly reported cases of hepatitis E in Yunnan Province from 2012 to 2021 were collected. The ARIMA model was established using SPSS 27.0, and the model was validated and parameters were optimized with data from January 2022 to December 2022. The optimal fitting model was used to predict the incidence of hepatitis E in 2023. Results Hepatitis E incidence in Yunnan Province showed a certain seasonal distribution, with most cases concentrated from March to August. All parameters of ARIMA(3,1,4)(1,1,1)₁₂ passed statistical tests. The Ljung-Box test showed statistic Q =10.050, P = 0.346, residual sequence was a white noise sequence, and goodness-of-fit index stationary R² was 0.591. The model extrapolation effect was verified with 2022 data, and MAPE was 14.747, indicating that the model extrapolation effect was effective. The number of hepatitis E cases in Yunnan Province in 2023 was expected to be 1,086. Conclusion The ARIMA (3,1,4)(1,1,1)₁₂ model shows good fitting performance for hepatitis E cases in Yunnan Province and can effectively predict short-term disease trends, providing a theoretical basis for formulating prevention and control measures for hepatitis E.