[Advances in the research of application of artificial intelligence in burn field].

Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn data and in-depth learning, artificial intelligence can assist burn surgeons to evaluate burn surface, diagnose burn depth, guide fluid supply during shock stage, and predict prognosis, with high accuracy. With the development of technology, artificial intelligence can provide more accurate information for burn surgeons to make clinical diagnosis and treatment strategies.

Hematinic deficiencies in patients with recurrent aphthous stomatitis: variations by gender and age.

BACKGROUND: The aim of this study was to evaluate the association between hematinic deficiencies and recurrent aphthous stomatitis (RAS). MATERIAL AND METHODS: 517 RAS patients and 187 healthy controls were enrolled in the present study. Hematinic deficiencies, including serum ferritin, folic acid, and vitamin B12 deficiencies were assessed for each participant. Gender and age were taken into account and the collected data were statistically analysed. RESULTS: Compared with the healthy controls, a significantly higher overall frequency of hematinic deficiencies was found in RAS patients (p<0.001). When gender and age were taken into account, significant differences in hematinic deficiencies were observed among RAS patients. Serum ferritin deficiency was much more common in young and middle-aged female RAS patients (age<60). Serum folate deficiency and serum vitamin B12 deficiency were both much more common in the young adult group of male RAS patients (21-40 years of age). Logistic regression analysis revealed that both gender and age have significant correlation with the presence of hematinic deficiencies in the RAS patients. CONCLUSION: Significant variations in hematinic deficiencies were demonstrated in RAS patients across different genders and age groups. We suggest that further studies on the hematinic deficiencies of RAS patients should take into account the gender and age of participants.

Serum zinc levels in 368 patients with oral mucosal diseases: A preliminary study.

BACKGROUND: The aim of this study was to assess the serum zinc levels in patients with common oral mucosal diseases by comparing these to healthy controls. MATERIAL AND METHODS: A total of 368 patients, which consisted of 156 recurrent aphthous stomatitis (RAS) patients, 57 oral lichen planus (OLP) patients, 55 burning mouth syndrome (BMS) patients, 54 atrophic glossitis (AG) patients, 46 xerostomia patients, and 115 sex-and age-matched healthy control subjects were enrolled in this study. Serum zinc levels were measured in all participants. Statistical analysis was performed using a one-way ANOVA, t-test, and Chi-square test. RESULTS: The mean serum zinc level in the healthy control group was significantly higher than the levels of all other groups (p < 0.001). No individual in the healthy control group had a serum zinc level less than the minimum normal value. However, up to 24.7% (13/54) of patients with AG presented with zinc deficiency, while 21.2% (33/156) of patients with RAS, 16.4% (9/55) of patients with BMS, 15.2% (7/46) of patients with xerostomia, and 14.0% (8/57) of patients with OLP were zinc deficient. Altogether, the zinc deficiency rate was 19.02% (70/368) in the oral mucosal diseases (OMD) group (all patients with OMD). The difference between the OMD and healthy control group was significant (p <0.001). Gender differences in serum zinc levels were also present, although not statistically significant. CONCLUSIONS: Zinc deficiency may be involved in the pathogenesis of common oral mucosal diseases. Zinc supplementation may be a useful treatment for oral mucosal diseases, but this requires further investigation; the optimal serum level of zinc, for the prevention and treatment of oral mucosal diseases, remains to be determined.

Using hydrological simulation to detect human-disturbed epoch in runoff series.

Runoff in major rivers in China has been decreasing in recent decades, mainly due to climate change and human activity. River basin managers have a critical interest in detecting and diagnosing non-stationaries in runoff time series. Here we use a rainfall runoff model-based approach to identify the human-disturbed periods of the record. The method is applied to the Kuye River catchment, located in the Loess Plateau, China. The SimHyd model performs well for simulation of monthly natural discharges, and the method suggests that discernable human influence began in 1980. Anthropogenic effects were detectable several years earlier at the downstream stations than the upstream stations, consistent with pace and timing of soil and water conservation measures implemented across the Kuye River catchment.