Objective To study the clinical and neuroimaging features of top of the basilar artery syndrome(TOBS).Methods The clinical and neuroimaging features of 63 cases with TOBS were analyzed retrospectively.Results Main causes of TOBS were atherosclerosis and embolisms.Vertigo and disturbance of consciousness and movement of the eye-ball,abnormality of pupils,partial blindness were the main clinical features.The most important imageologic feature of TOBS was infarction of thalami or midbrain,which was frequently complicating with infarction in other locations.Conclusion TOBS has simultaneously more than two infarction lesions,either superior or inferior tentorium of cerebellum with many complications and poor prognosis.MRI is more sensitive than CT.Early MRI examination,systemic and comprehansive treatment may improve the prognosis of the TOBS patients.

Objective To analyze the status of occupational disease hazards in Shantou City for 2019 to 2022 and propose corresponding management measures. Methods Technical reports on various occupational-disease-specific activities in Shantou City from 2019 to 2022 were collected and the data were comprehensively analyzed. Results Among the 3 066 enterprises surveyed in the 2020 occupational disease hazard investigation in Shantou City, occupational hazards were reported in 2 982 enterprises (accounting for 97.3%), with 2 955 being small and micro enterprises, accounted for 99.1%(2 955/2 982). The exposure rate of occupational hazards was 58.7% (42 894/73 054) among workers in the surveyed enterprises, with dust and noise exposure rates of 59.7% and 77.8%, respectively. The reported rate of occupational disease hazard projects by employers, regular detection rate of workplace occupational hazards, detection rate of occupational medical examination among workers, and occupational health training rate of key responsible personnel and occupational health management staff were 8.4%, 1.4%, 2.4%, and 4.3%, respectively. The results of occupational hazards monitoring of workplace in key industries from 2019 to 2022 showed that noise had the highest rate of exceeding national standards workplace, followed by silica dust, accounting for 34.2% and 13.8%, with the on-site exceedance rate of 32.2% and 10.0%, respectively. From 2019 to 2022, 31 suspected occupational disease cases were identified in key occupational disease monitoring, including 27 suspected cases of occupational pneumoconiosis and four suspected cases of occupational noise-induced deafness. Conclusion The workers in Shantou City have a high exposure rate to occupational hazards, and the occupational health management level of employers remains low, with noise and silica dust being the most severe occupational hazards. It is essential to improve technical support and service system development for occupational disease prevention and treatment, strengthen supervision and management in key industries and positions, explore occupational health assistance mechanisms for small and micro enterprises, and enforce employers' responsibility in occupational disease prevention to protect workers' occupational health and safety.

Objective To investigate the conduction behavior of fluid flow induced by physiological loads at different scales of bone. Method sThe multiscale bone models were established by using the COMSOL Multiphysics software, and the fluid behaviors were investigated at macro-, meso- and micro-scale. Results At macro-meso scale，the distribution of pore pressure and fluid velocity of osteon near the periosteum and endoosteum were different from that in other parts. Due to the different structure and material parameters at different layers, the loading and fluid pressure caused different biomechanical responses in the process of transferring from macro-scale to micro-scale. Conclusions The multi-scale layered modeling of bone structure-osteon-lacunae-bone canaliculi was established, which provided the theoretical reference for deeper understanding of fluid stimulation and mechanotransduction.

Abstract OBJECTIVE To analyze the inflammation-related molecular targets of Pien Tze Huang in the treatment of hepatocellular carcinoma and to preliminary explore its mechanism. METHODS Obtain the ingredients and targets of Pien Tze Huang through TCMSP and BATMAN databases. Obtain the disease targets of hepatocellular carcinoma through Genecards, OMIM and TCGA databases. Take the intersection of compound targets and disease targets to get Pien Tze Huang’s target for the treatment of hepatocellular carcinoma. Obtain the related genes of inflammation pathway from the GSEA database, and then analyze the correlation between Pien Tze Huang’s therapeutic targets for hepatocellular carcinoma and inflammation-related genes to screen out inflammation-related targets, and explore the mechanism through GO and KEGG enrichment analysis. Then, single-factor cox analysis and LASSO regression were performed to construct related prognostic models. The 10 core targets were screened out through the protein-protein interaction(PPI) network. The model gene and the core target were intersected. The core compounds were screened out through the drug-compound-target network. Perform molecular docking verification between the core compound and the target. Construct a nomogram to assess the prognosis of patients. RESULTS Obtained 162 Pien Tze Huang targets, 522 hepatocellular carcinoma targets, 20 Pien Tze Huang therapeutic targets for hepatocellular carcinoma, and 16 inflammation-related targets. The enrichment analysis of GO and KEGG showed that their effects were mainly through biological functions such as monooxygenase activity, oxidoreductase activity, and chemical carcinogenesis-receptor activation. The ROC curve of the prognosis model calculated AUC as 0.780 in 1 year, 0.688 in 3 years, and 0.642 in 5 years, indicating that the model was reliable. The prognostic model intersects with the core target of PPI to get 5 targets: PON1, IGF2, NQO1, CCNB1 and IGFBP3. The nomogram was constructed using CCNB1, NQO1, and T staging, and its c-index was 0.726, indicating the reliability of the model. The drug-compound-target network suggested that quercetin was the core compound and targets the above two genes. CONCLUSION Pien Tze Huang’s treatment of hepatocellular carcinoma mainly uses quercetin to target CCNB1 and NQO1 to exert anti-inflammatory effects, and its prognostic model can be used to predict the survival of patients.