ObjectiveTo investigate the dietary intake of phytosterols in middle-aged and elderly residents in Guangzhou.Methods The dietary data were collected from 599 middle-aged and elderly residents (222 men and 377 women) recruited by stratified cluster random sampling in Guangzhou.All the subjects were surveyed using Food Frequency Questionnaire (FFQ).The dietary intake of phytosterols was estimated using Chinese data of phytosterol composition of a range of foods.ResultsThe dietary intake of total phytosterols was 336.36 ±142.88 mg/d,which included β-sitosterol 218.53 ± 95.20 mg/d,campesterol 48.33 ± 23.69 mg/d,stigmasterol 36.40 ± 14.38 mg/d,β-sitostanol 30.65 ± 13.62 mg/d,and campestanol 4.67 ±2.77 mg/d.Women had a significantly higher intake of phytosterols than men [ (345.45 ±141.06) mg/d vs.(320.93 ±144.95) mg/d,P=0.0425].Edible oil,vegetable,cereal,and fruit were the four major food sources of phytosterols,representing 37.2％,19.8％,18.5％,and 12.5％ of the total phytosterols intake respectively.Energy-adjusted intake of phytosterols was (42.94 ± 15.66) mg/1000 kJ,and women had a significantly higher intake than men [ (46.04 ±15.90) mg/1000 kJ vs.(37.69 ± 13.76) mg/1000 kJ,P =0.0000 ].ConclusionAmong the middle-aged and elderly residents in Guangzhou,women have higher phytosterols intake than men.

Objective:Based on the artificial intelligence (AI) technology in endoscopy and the internet platform, to explore and construct a safe, standardized, scientific and rigorous database for digestive endoscopy, and to provide reference and evidence for the data quality control of AI in digestive endoscopy in China.Methods:After referring to relevant guidelines and standards, data collection and labelling standards of digestive endoscopy of 12 common gastrointestinal diseases were determined. The software of online collection and labelling of multi-center digestive endoscopy data in Shandong Province was developed. Endoscopic equipment with a domestic market share of >5% was used and dozens of experienced endoscopists from 9 medical centers in Shandong Province were uniformly trained for data labelling. From July 2019 to July 2020, the endoscopic examination data from 9 medical centers including Qilu Hospital of Shandong University, Shandong Provincial Hospital , Liaocheng People′s Hospital, Linyi People′s Hospital, Weihai Municipal Hospital, Taian City Central Hospital, Binzhou Medical University Hospital, Yantai Yuhuangding Hospital and Qilu Hospital of Shandong University (Qingdao) were prospectively and continuously collected and labeled. The optimized, desensitized, and generalized data were uploaded to the server. After the file synchronization, data processing, and expert review, a multi-center digestive endoscopy AI database with standard data collection and labelling in Shandong Province was constructed, namely cloud platform. Descriptive methods were used for statistical analysis.Results:The collection and labelling standards for multi-center digestive endoscopy AI data in Shandong province was established. The software of online collection and labelling of multi-center digestive endoscopy AI data in Shandong province was developed. The database in Shandong province was successfully constructed. In the database, 43 010 lesions, 40 353 images, and 11 289 examinations were labeled. Among them, there were 2 906 cases of early esophageal cancer, 2 912 cases of early gastric cancer, 2 397 cases of early colorectal cancer, and 9 773 cases of colorectal polyps (5 539 cases of adenomatous polyps, 1 161 cases of non-adenomatous polyps and 3 073 case of undetermined polyps).Conclusions:The multi-center AI cloud platform for digestive endoscopy in Shandong Province adopts unified standards and collection and labeling software, which ensures the safety and standardization of endoscopy data. It provides a reference and basis for the construction of a quality control system for standardized data collection and labelling of digestive endoscopy AI data in our country and for the third-party data supervision.

Objective: To investigate the difference of the temporomandibular joint between patients with anterior open-bite and normal overbite with cone beam CT (CBCT). Methods : Fifty-four patients with anterior open bites and 54 patients with normal overbites were selected from the Department of Orthodontics, Nanjing Stomatological Hospital, Medical School of Nanjing University from June 2014 to August 2020. Sagittal and coronal images of the temporomandibular joint were reconstructed with multiplanar reconstruction techique. The Kamelchuk method was used to measure the superior, posterior and anterior space of the temporomandibular joint, and the condylar morphology was divided into two types: normal and abnormal. The joint space and condylar morphology of the anterior open-bite group and the normal overbite group were statistically analyzed. The anterior open-bite group was divided into 3 subgroups: ① Ⅰ° open-bite (open bite distance < 3 mm), ② Ⅱ° open-bite (open bite distance ≥ 3 mm and ≤ 5 mm) and ③ Ⅲ° open-bite (open bite distance > 5 mm). The difference of overbite spaces of the temporomandibular joint was compared among these three subgroups. Results: Compared to the normal group, no significant differences were found for the anterior and superior space of the temporomandibular joint in the anterior open-bite group (P > 0.05), but the posterior space increased significantly (P < 0.01). A total of 52.8% of patients in the anterior open-bite group had abnormal condyles, whereas 21.3% of patients in the normal group, overbite significant differences was found between the two groups (P < 0.01). Compared with patients with Ⅰ° and Ⅱ° openbite, the condyle of patients with III° open bites was more forward in the fossa (P < 0.05). Conclusion The position of the condyle in the fossa of patients with anterior open bites is more forward, and abnormal condylar bone is more common found.

OBJECTIVE：To establish the method for online rapid detection of related indexes in the concentration process of Huagai san extraction solution ，and to provide reference for judgment of concentration end point. METHODS ：Online diagram of 73 concentrated samples in the concentration process of Huagai san extraction solution were drawn by NIRS online collection equipment. The partial least squares （PLS）method was used to establish the NIRS quantitative calibration model of 5 related indexes （concentration density ， solid content ， the contents of amygdalin ， ephedrine hydrochloride and pseudoephedrine hydrochloride）. Another 15 samples were used to validate the model ，and the correlation of predicted value and measured value was analyzed. RESULTS ：The correlation coefficients （R2）of the concentration density ，solid content ，the contents of amygdalin ， ephedrine hydrochloride and pseudoephedrine hydrochloride in the quantitative calibration model were 0.982 5，0.999 9，0.998 3， 0.999 4 and 0.999 3，respectively；the root mean square errors of calibration （RMSEC）were 0.001 6，0.025 1，0.014 7，0.001 8 and 0.000 9；the root mean square errors of cross validation （RMSECV）were 0.002 1，0.035 8，0.033 6，0.006 3 and 0.001 3， respectively. After validation by 15 samples，root mean square errors of prediction （RMSEP）were 0.003 2，0.024 6，0.021 5， 0.007 7 and 0.005 9，respectively. CONCLUSIONS ：The established quantitative calibration model has good predictability and can provide basis for online judgment of concentration end point of Huagai san extraction solution.