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Background Rheumatoid arthritis (RA) is a chronic and progressive autoimmune disease that mainly affects joints. Bone erosion and bone destruction are the characteristic features of RA.1 The mechanism of bone destruction is not fully understood at present. The decrease of apoptosis of human fibroblast-like synoviocytes (FLSs) originating from mesenchymal is involved in the occurrence and development of bone destruction in RA.2 Exosomes are important mediators of biological information and play a part in the occurrence and development of various diseases including RA.3 Objectives The aim of study was to find whether exosomes participate in the pathogenesis of bone destruction in RA. Methods plasma was collected from 10 healthy people and 20 RA patients. According to Sharp-van der Heijde score (SHS), patients were divided into two groups named bone destruction group and non bone destruction group. Exosomes were extracted by Total Exosome Isolation reagent and confirmed by transmission electron microscope and western blot. The internalisation of exosomes was detected by immunofluorescence. Normal FLSs were stimulated with exosomes. Flow cytometry was utilised to detect the alteration of cell cycle and apoptosis rate. The cell proliferation was determined by CCK-8 assay. Apotosis proteins (Bax, BCL-2 and caspase-3) were examined by western blot. The concentrations of TNF-α and IL-1 in the cell supernatants were measured by enzyme-linked immunosorbent assay (ELISA). High-throughput sequencing was used to detect the expression of miRNAs in exosomes. Results There is no difference between exosomes of normal people and RA patients in promoting cell proliferation. However, the exosomes of RA patients can prohibit the cell apoptosis and promote the release of TNF-α and IL-1 from FLSs more effectively. Of these two RA groups, the abilities of bone destruction group exosomes are higher. The expressions of Bcl-2 and caspase-3 in bone destruction group are also significantly higher than that in the non bone destruction group and the normal group. Inversely the expression of Bax in bone destruction group is lower. Additionally, exsomal miR-92a are significantly over expressioned in bone destruction group. Conclusions The study showed that exosomes in the serum of RA patients can prohibit the apoptosis of FLSs and enhance the secretion of inflammatory cytokines to promote bone destruction. Exosomes play an important role in the pathogenesis of RA. Exosomes can be used as a potential predictor for early bone destruction. References [1] Muller-Ladner U, Pap T, Gay RE, Neidhart M, Gay S. Mechanisms of disease: the molecular and cellular basis of joint destruction in rheumatoid arthritis. Nat Clin Pract Rheumatol2005;1(2):102–10. [2] Lee DM, Kiener HP, Agarwal SK, Noss EH, Watts GF, Chisaka O, et al. Cadherin-11 in synovial lining formation and pathology in arthritis. ;Science 2007315 (5814):1006–10. [3] Schorey JS, Bhatnagar S. Exosome function: from tumour immunology to pathogen biology ;Traffic 20089 (6):871–81. Acknowledgements This work was supported by grants from Top Six Types of Talents Financial Assistance of Jiangsu Province Grant (BRA2016527), The Natural Science Foundation of China under Grant (81671616), The Natural Science Foundation of China under Grant (81471603). Disclosure of Interest None declared

We study the light output, light collection efficiency and signal timing of a variety of organic scintillators that are being considered for the upgrade of the hadronic calorimeter of the CMS detector. The experimental data are collected at the H2 test-beam area at CERN, using a 150 GeV muon beam. In particular, we investigate the usage of over-doped and green-emitting plastic scintillators, two solutions that have not been extensively considered. We present a study of the energy distribution in plastic-scintillator tiles, the hit efficiency as a function of the hit position, and a study of the signal timing for blue and green scintillators. We study the light output, light collection efficiency and signal timing of a variety of organic scintillators that are being considered for the upgrade of the hadronic calorimeter of the CMS detector. The experimental data are collected at the H2 test-beam area at CERN, using a 150 GeV muon beam. In particular, we investigate the usage of over-doped and green-emitting plastic scintillator, two solutions that have not been extensively considered. We present a study of the energy distribution in plastic-scintillator tiles, the hit efficiency as a function of the hit position, and a study of the signal timing for blue and green scintillators.

Weibull distribution life prediction theory is proposed for analyzing fault diagnosis of scraper conveyor in this paper. The scraper conveyor of coal mining mechanization is one of the important equipments in coal producing process, which may be damaged in the operation of the equipment malfunction or failure and its equipment life is very short. Therefore, the timely working state monitoring system of the scraper conveyor can effectively protect the equipment safe and reliable operation to prevent accidents. Simulation results show the life of scraper conveyor can be analyzed with Weibull distribution life prediction theory to reflect the distribution of the fault, and the fault condition is calculated to prolong the scraper conveyor life. Keywords-life prediction; Weibull distribution; scraper conveyor; failure diagnostic

In coal shearer monitoring system, the early detecting of fault is key technique for preventing the shearer fail. In this paper, the improved support vector machine theory is introduced to detected shearer fault under the mine underground, the improved algorithm based on support vector machine theory is analyzed, the multiple fault classifier is used to judge the fault types of coal shearer. The temperature fault types of coal shearer are reconstructed. Simulation results verify the validity of this method for early detecting fault under strong noise background in the coal shearer monitoring system.

Based on the relative relationships between the traffic volumes of intersections, the method of cluster analysis is adopted to classify the intersections in this article. The method is verified through data from the road network of Chang Chun city. This achievement can help us to solve the problem of predicting the traffic volume of the nondetector intersections. It makes it possible to realize the traffic flow guidance in the cites which don't have enough intersections equipped with detectors. Meanwhile it can provide a theory to decide the strategic intersections and to run the strategic intersections with more attention.