Spatiotemporal pattern evolution and influencing factors of online public opinion--Evidence from the early-stage of COVID-19 in China.

With the rapid development of internet information technology, online public opinion's influence is infinitely magnified, seriously threatening social security and national governance. It is significant to clarify the spatial and temporal evolution rules of online public opinion on major epidemics and its influencing factors for the governance and guidance of online public opinion on major epidemics. In this paper, the spatiotemporal evolution analysis model of online public opinion and an analysis model of influencing factors were constructed. We selected the Baidu index and microblog crawler text data at the early stage of COVID-19 as the research objects and analyzed the evolution of online public opinion during the time period by using the optimal segmentation method, spatial autocorrelation analysis, and text analysis method. The spatiotemporal evolutionary influences and their influence are further analyzed using the geographic probe factor detection method. The results showed that the evolution of online public opinion in the early stage of the epidemic was closely related to the event's evolution and the prevention and control effect. In the time dimension, the early evolution of online public opinion has prominent periodic characteristics. In the geospatial dimension, there are significant spatial agglomeration effects and spillover effects. In the cyberspace dimension, there are significant differences in online public opinion heat, hot topics, and netizens' emotional tendencies at different stages. Furthermore, the severity of the epidemic, the number of Internet users, the number of media reports and the region's attributes jointly affect the spatial and temporal evolution pattern of online public opinions about the epidemic. The research results provide decision-making references for the government and planners to effectively manage online public opinion on emergencies and improve the government's public opinion governance capacity and level.

Analysis of serum metabolome of laborers exposure to welding fume.

OBJECTIVE: Welding fume exposure is inevitable of welding workers and poses a severe hazard to their health since welding is a necessary industrial process. Thus, preclinical diagnostic symptoms of worker exposure are of great importance. The aim of this study was to screen serum differential metabolites of welding fume exposure based on UPLC-QTOF-MS/MS. METHODS: In 2019, 49 participants were recruited at a machinery manufacturing factory. The non-target metabolomics technique was used to clarify serum metabolic signatures in people exposed to welding fume. Differential metabolites were screened by OPLS-DA analysis and Student's t-test. The receiver operating characteristic curve evaluated the discriminatory power of differential metabolites. And the correlations between differential metabolites and metal concentrations in urine and whole blood were analyzed utilizing Pearson correlation analysis. RESULTS: Thirty metabolites were increased significantly, and 5 metabolites were decreased. The differential metabolites are mainly enriched in the metabolism of arachidonic acid, glycero phospholipid, linoleic acid, and thiamine. These results observed that lysophosphatidylcholine (20:1/0:0) and phosphatidylglycerol(PGF1α/16:0) had a tremendous anticipating power with relatively increased AUC values (AUC > 0.9), and they also presented a significant correlation of Mo concentrations in whole blood and Cu concentrations in urine, respectively. CONCLUSION: The serum metabolism was changed significantly after exposure to welding fume. Lysophosphatidylcholine (20:1/0:0) and phosphatidylglycerol (PGF1α/16:0) may be a potential biological mediator and biomarker for laborers exposure to welding fume.

Spatial metabolomics identifies lipid profiles of human carotid atherosclerosis.

BACKGROUND AND AIMS: Carotid atherosclerosis is an important cause of ischemic stroke. Lipids play a key role in the progression of atherosclerosis. To date, the spatial lipid profile of carotid atherosclerotic plaques related to histology has not been systematically investigated. METHODS: Carotid atherosclerosis samples from 12 patients were obtained and classified into four classical pathological stages (preatheroma, atheroma, fibroatheroma and complicated lesion) by histological staining. Desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) was used to investigate the lipid profile of carotid atherosclerosis, and correlated it with histological information. Bioinformatics technology was used to process MSI data among different pathological stages of atherosclerosis lesions. RESULTS: A total of 55 lipids (26 throughout cross-section regions [TCSRs], 13 in lipid-rich regions [LRRs], and 16 in collagen-rich regions [CRRs]) were initially identified in carotid plaque from one patient. Subsequently, 32 of 55 lipids (12 in TCSRs, eight in LRRs, and 12 in CRRs) were further screened in 11 patients. Pathway enrichment analysis showed that multiple metabolic pathways, such as fat digestion and absorption, cholesterol metabolism, lipid and atherosclerosis, were enriched in TCSRs; sphingolipid signaling pathway, necroptosis pathway were enriched in LRRs; and glycerophospholipid metabolism, ether lipid metabolism pathway were mainly enriched in CRRs. CONCLUSIONS: This study comprehensively showed the spatial lipid metabolism footprint in human carotid atherosclerotic plaques. The lipid profiles and related metabolism pathways in three regions of plaque with disease progression were different markedly, suggesting that the different metabolic mechanisms in these regions of carotid plaque may be critical in atherosclerosis progression.

Serum metabolic profiling of coal worker's pneumoconiosis using untargeted lipidomics.

In this work, untargeted lipidomics was employed to analyze the effects of coal dust exposure on serum metabolite profiles. Furthermore, the potential of differential metabolites as novel biomarkers for diagnosis was investigated by binary logistic classification model. Nineteen differential metabolites were found among the three groups. The compounds were enriched in pathways associated with linoleic acid metabolism and pyrimidine metabolism. Fifty-three differential metabolites were found in coal dust-exposed people and CWP patients, and they were mainly enriched in glycerophospholipid metabolism. Three differential metabolites were correlated with lung function values. The diagnostic model, composed of lysoPI (16:0/0:0), bilirubin, and lysoPC (24:1/0:0), showed strong discrimination ability between dust-exposed people and CWP patients. The sensitivity, specificity, and AUC values of the model were 0.869, 0.600, and 0.750, respectively. The results suggest that coal worker's pneumoconiosis causes abnormal lipid metabolism in the body. A diagnostic model may aid current CWP diagnostic methods, and lysoPI (16:0/0:0), bilirubin, and lysoPC (24:1/0:0) can be used as potential CWP biomarkers. Further study is warranted to validate the findings in larger populations.

[Percutaneous locking plate combined with Sizhi-Xifang for treatment of the distal tibial fracture].

OBJECTIVE: To observe the clinical effect of Sizhi-Xifang in the improvement of postoperative ankle function. METHODS: From Jan. 2006 to Mar. 2008,49 patients were divided randomly into treatment group and control group. The treatment group included 16 males and 8 females with an average age of (41.3 +/- 13.2) years, involving 13 cases of tye A, 9 of type B and 2 of type C based on AO classification. The control group included 15 males and 10 females with an average age of (38.2 +/- 10.9) years, involving 12 cases of type A, 10 of type B, 3 of type C. Minimal invasive percutaneous plate were used in each group. In treatment group 24 cases were treated with Sizhi-Xifang after the incisions were healed. RESULTS: There were no incision infections, flaps necrosis, bone and plate exposure after treatment in two groups. All patients were followed-up for 4 to 16 months with an average of 8.6 months. According to Johner-Wruhs evaluation standard, there were 7 cases in excellent, 12 good, 5 in fair in treatment group and in control group there were 5 cases in excellent, 7 in good, 10 in fair and 3 in poor. The comparison of effect between two groups had significant difference (P < 0.05). CONCLUSION: Sizhi-Xifang is helpful to improve the ankle postoperative function.