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Acute pancreatitis is a common disorder in the gastrointestinal system, which is characterized by an increasing incidence and a high mortality. Currently, symptomatic treatment becomes the predominant option for the treatment of acute pancreatitis. To date, there is little knowledge on the treatment of acute pancreatitis through alleviation of pancreatic ductal hypertension and removal of pancreatic ductal obstruction. Endoscopic retrograde cholangiopancreatography (ERCP), an effective treatment for acute biliary pancreatitis, may alleviate the obstruction and edema in the common channel of the bile duct and pancreatic duct, to achieve the indirect treatment of acute pancreatitis, and may achieve the removal of intrapancreatic ductal obstruction and reduction in the intrapancreatic ductal pressure. Hereby, we report 3 cases with acute pancreatitis that were successfully treated by the pancreatic duct decompression via ERCP in one single center from China. Our data demonstrate that pancreatic duct decompression via ERCP is effective for the treatment of acute pancreatitis, which may shorten the course of acute pancreatitis through alleviating pain, shortening fasting duration and controlling the inflammatory reactions. It is recommended to use further prospective, randomized, controlled clinical trials to evaluate the efficacy and safety of pancreatic duct decompression via ERCP for acute pancreatitis. [ABSTRACT FROM AUTHOR]

The mixing state of black carbon aerosols (BC) has the largest uncertainty for climate forcing evaluation. In this study, a tandem observation, combining a centrifugal particle mass analyzer (CPMA) and a single particle soot photometer (SP2), was conducted to investigate the mixing state of BC in a coastal city in eastern China. First, particles with specific masses (1.0 fg, 2.1 fg, 4.5 fg, 9.7 fg, and 20.1 fg) were selected using CPMA and consecutively measured by SP2 to determine the corresponding BC mass (M BC) of the particle. The mass ratio (M R) of the coating matter to the BC core was used to indicate the coating thickness and aging degree of BC. The results showed that the M R value obtained from the CPMA-SP2 system was well correlated with the mixing state condition derived from the traditional lag-time method. However, the lag-time method tends to misclassify thickly to thinly coated BC as particles with larger masses. The M R generally increased as the mass of BC-containing particles increased. M R showed a clear diurnal pattern with a minimum at 8:00 and a maximum at 13:00 due to photochemical process during the daytime. The larger BC-containing particles had a much weaker diurnal pattern because other secondary processes may contribute more to the coatings for large BC-containing particles. The M R maintained a high value when the air mass was stagnant in the local area with high pollutant concentrations and high relative humidity (RH), while the M R was at its lowest value when the air mass was derived from the marine area with high RH and low pollutant concentrations. These observations suggest that the increase in M R is the result of the combined effect of high RH and high pollutant concentrations. [Display omitted] • Traditional lag-time method tends to misclassify thickly to thinly coated BC as particles with larger masses. • The increase of BC's coating needs the joint action of pollutants precursors, aging time and humidity. • The coating thickness of BC with larger masses had weaker diurnal pattern. [ABSTRACT FROM AUTHOR]

Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China Plain. In this study, an industrial district (Shahe City) with a large glass manufacturing sector was investigated to clarify the relative contribution of fine particulate matter (PM 2.5 ) to the city's high levels of pollution. The Nest Air Quality Prediction Model System (NAQPMS), paired with Weather Research and Forecasting (WRF), was adopted and applied with a spatial resolution of 5 km. During the study period, the mean mass concentrations of PM 2.5 , SO 2 , and NO 2 were observed to be 132.0, 76.1, and 55.5 μg/m 3 , respectively. The model reproduced the variations in pollutant concentrations in Shahe at an acceptable level. The simulation of online source-tagging revealed that pollutants emitted within a 50-km radius of downtown Shahe contributed 63.4% of the city's total PM 2.5 concentration. This contribution increased to 73.9±21.2% when unfavorable meteorological conditions (high relative humidity, weak wind, and low planetary boundary layer height) were present; such conditions are more frequently associated with severe pollution (PM 2.5 ≥ 250 μg/m 3 ). The contribution from Shahe was 52.3±21.6%. The source apportionment results showed that industry (47%), transportation (10%), power (17%), and residential (26%) sectors were the most important sources of PM 2.5 in Shahe. The glass factories (where chimney stack heights were normally < 70 m) in Shahe contributed 32.1% of the total PM 2.5 concentration in Shahe. With an increase in PM 2.5 concentration, the emissions from glass factories accumulated vertically and narrowed horizontally. At times when pollution levels were severe, the horizontally influenced area mainly covered Shahe. Furthermore, sensitivity tests indicated that reducing emissions by 20%, 40%, and 60% could lead to a decrease in the mass concentration of PM 2.5 of of 12.0%, 23.8%, and 35.5%, respectively., (Copyright © 2021. Published by Elsevier B.V.)