Background: Dust generated during the processing of building materials enterprises can pose a serious health risk. The study aimed to compare and analyze the results of ART and the Monte Carlo model for the dust exposure assessment in building materials enterprises, to derive the application scope of the two models. Methods: First, ART and the Monte Carlo model were used to assess the exposure to dust in each of the 15 building materials enterprises. Then, a comparative analysis of the exposure assessment results was conducted. Finally, the model factors were analyzed using correlation analysis and the scope of application of the models was determined. Results: The results show that ART is mainly influenced by four factors, namely, localized controls, segregation, dispersion, surface contamination, and fugitive emissions, and applies to scenarios where the workplace information of the building materials enterprises is specific and the average dust concentration is greater than or equal to 1.5 mg/m3. The Monte Carlo model is mainly influenced by the dust concentration in the workplace of building materials enterprises and is suitable for scenarios where the dust concentration in the workplace of the building materials enterprises is relatively uniform and the average dust concentration is less than or equal to 6mg/m3. Conclusion ART is most accurate when workplace information is specific and average dust concentration is > 1.5 mg/m3; whereas, The Monte Carlo model is the best when dust concentration is homogeneous and average dust concentration is < 6 mg/m3.

Objective:To explore the gene microarray of patients with ankylosing spondylitis in GEO database by using various bioinformatics methods, and to explore the possible targets and mechanisms of action.Methods:The GEO database was searched with "ankylosing spondylitis" the keyword, and the expression profile of genes related to AS was selected as the research object. Standard difference analysis, weighted co-expression analysis and gene set enrichment analysis were conducted to construct the disease set. GO and KEGG enrichment analysis were performed on the disease sets. The NCC algorithm identifies the first five key genes. THP-1 cells were implanted into RPMI-1640 culture medium containing 10% fetal bovine serum to multiply and construct the cell model of AS in vitro. The expression levels of 5 key genes were detected by qRT-PCR and Western blot. The experimental measurement data were expressed as mean± standard deviation, and the t test was used in comparison between the two groups. Results:One thousand six hundred and sixty seven disease genes were analyzed, functional annotation was mainly concentrated in 689 molecular components of cytoplasmic ribosomes, ribosomal subunits, ribosomes, cytoplasmic large ribosomal subunits, the structural composition of ribosomal REDOX enzyme activity, 1 002 molecular functions of NADH dehydrogenase activity, NADH dehydrogenase activity, and 5 764 molecular processes of mRNA catabolism and RNA catabolism The physical process involved 1 002 signaling pathways involved in Alzheimer′s disease, Prion disease, Parkinson′s disease, and the first 5 key genes were identified as RPS11, RPL4, RPL37A, RPS23, and RPS9. The experimental results were obtained by t test. The results showed that TNF-α mRNA ( t=5.59, P=0.001) and protein ( t=20.14, P<0.001) were significantly increased, indicating that LPS had induced inflammatory response in THP-1 cells, while RPL37AmRNA ( t=5.87, P=0.001), RPS11 mRNA ( t=3.88, P=0.008), RPS23 mRNA ( t=2.64, P=0.038), RPL37A protein ( t=3.18, P=0.030), RPS11 protein ( t=11.26, P<0.001), RPS23 protein ( t=5.64, P<0.001), increased, while RPS9 mRNA ( t=3.16, P=0.020), RPL4 mRNA ( t=2.54, P=0.044), RPS9 protein ( t=5.85, P<0.001) and RPL4 ( t=2.93, P=0.040) protein expressions decreased. RPL23 stimulated the joint synovial tissue to produce effect-T lymphocytes and release a large number of IL-2 and other inflammatory cytokines. RPS9 acts on the early stages of ribosomogenesis, and knocking down RPS9 reduced overall protein synthesis. RPL4 interacted with TTC22 protein to enhance the binding of WTAP mRNA to RPL4, which was associated with immune diseases. The nucleoprotein OGFOD1 catalyzed the hydroxylation of RPS23 and participated in the inflammatory process. The chromosome conformation confirmed the single nucleotide polymorphism function of IL23R genomic locus in AS disease. Conclusion:Ribosomal protein may be an important target for exploring the mechanism of AS inflammation.