Background: Angiopoietin-like 4 (ANGPTL4) is a secreted glycoprotein that plays an important role in endothelial injury and the inflammatory response. Experimental models have implicated ANGPTL4 in acute respiratory distress syndrome (ARDS), but its impact on the progression of ARDS is unclear. Methods: Paired bronchoalveolar lavage fluid (BALF) and serum samples were obtained from patients with ARDS (n ¼ 56) within 24 h of diagnosis and from control subjects (n ¼ 32). ANGPTL4, angiopoietin-2, interleukin (IL)-6, and TNF-a levels were measured by magnetic Luminex assay. BALF albumin (BA) and serum albumin (SA) were evaluated by enzyme-linked immunosorbent assay. Results: BALF and serum ANGPTL4 concentrations were higher in patients with ARDS than in controls and were even higher in nonsurvivors than in survivors. The serum ANGPTL4 level was higher in indirect (extrapulmonary) ARDS than in direct (pulmonary) ARDS. Furthermore, BALF and serum ANGPTL4 levels correlated well with angiopoietin-2, IL-6, and TNF-a levels in BALF and serum. BALF ANGPTL4 was positively correlated with the BA/SA ratio (an indicator of pulmonary vascular permeability), and serum ANGPTL4 was associated with the severity of multiple organ dysfunction syndrome based on SOFA and APACHE II scores. Moreover, serum ANGPTL4 was better able to predict 28-day ARDS-related mortality (AUC 0.746, P < 0.01) than the APACHE II score or PaO 2 /FiO 2 ratio. Serum ANGPTL4 was identified as an independent risk factor for mortality in a univariate Cox regression model (P < 0.001). Conclusion: ANGPTL4 levels were elevated in patients with ARDS and significantly correlated with disease severity and mortality. ANGPTL4 may be a novel prognostic biomarker in ARDS.
Microwave phase-shifting sensor is one of the effective means to realize online detection of water content in high water-cut crude oil, but its detection accuracy is easily affected by salinity. Aiming at the mineralization components (NaCl and CaCl2) existing in water-bearing crude oil, the influence of different proportion and content of dual-component mineralization on the accuracy of microwave phase-shifting crude oil water content detection sensor was studied experimentally, and the influence rule of dual-component mineralization (NaCl and CaCl2) on the accuracy of crude oil water content detection was obtained. It is difficult to establish an accurate error compensation model because the relationship between the composition and content of salinity and the measured water content is affected by many factors. Therefore, a BP neural network model for error correction is established, which reduces the detection error of microwave phase-shifting crude oil moisture sensor from 13.912% to 1.821%, and improves the detection accuracy. BP neural network prediction model is superior to multiple linear regression prediction model.
In order to solve the problem of oil leakage at the flange bolted connection of the casing of combustion chamber, an implementation solution was proposed in this paper. Firstly, a simplified flange bolted connection finite element model was established in ANSYS based on the actual size of the casing. Then, the deformation of the flange joint surface under two different forms of load was analyzed. Finally, according to calculation results, the suggestion of adding gasket was proposed to improve sealing performance of casing, and the sealing effect of gaskets of different thicknesses is also studied. This article provided a reference for improving the oil leakage problem of the casing flange bolted connection.
In order to improve the design efficiency of the robotic drilling system, the case-based reasoning, CBR design technology is used in the development of the robotic drilling system design platform. The framework of the design platform of the robot hole-making system is constructed, and the key technologies for the construction of the intelligent design platform are studied, including the graphics similarity judgment method, parts coding rules, part parameterization rules, software and platform interface technology, drilling end effector geometric modeling, etc. Combined with the end effector design example, the effectiveness of this method is verified.
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