Simulating the sediment transport in a high‐turbidity region with spatially varying bed properties is challenging. A comprehensive strategy that integrates multiple methods is applied here to retrieve the critical shear stress for erosion, which plays a major role in suspended sediment dynamics in the Changjiang Estuary (CE). Time‐series of sea surface suspended sediment concentration (SSC) were retrieved from the Geostationary Ocean Color Imager (GOCI) satellite data at hourly intervals (for 8 h each day) and combined with hydrodynamic modeling of high‐resolution CE Finite‐Volume Community Ocean Model (CE‐FVCOM) to estimate the near‐bed critical shear stress in the clay‐dominated bed region (plasticity index > 7%). An experimental algorithm to determine the in situ critical shear stress via the plasticity index method was also used to verify the GOCI‐derived critical shear stress. Implemented with this new critical shear stress, the sediment transport model significantly improved the simulation of the distribution and spatial variability of the SSC during the spring and neap tidal cycles in the CE. The results suggest that a significant lateral water exchange between channels and shoals occurred during the spring flood tide, which led to a broader high‐SSC area in the CE throughout the water column.

Aim:Previous meta-analyses have demonstrated an increased risk of adverse events in aspirin-resistant patients. In this meta-analysis, we aimed to update clinical evidence regarding the relationship between aspirin resistance and major adverse cardiovascular events (MACEs) in patients with coronary heart disease (CHD) on confirmed aspirin adherence. Methods: An electronic literature search of PubMed, EMBASE, Web of Science and the Cochrane Library and a hand search of bibliographies through April 2013 were conducted. Studies were included if they prospectively investigated the association between aspirin resistance and the risk of adverse cardiovascular events during follow-up in CHD patients, mentioned confirmed compliance and provided adequate data for a statistical analysis. Results: Nine prospective studies with a total 1,889 CHD patients who were followed for one month to 2.5 years and study sample sizes ranging from 86 to 496 patients were identified. Overall, 622 of the 1,889 CHD patients (33.0%) were classified as being aspirin resistant with confirmed aspirin adherence. The aspirin-resistant patients exhibited a significantly higher risk of adverse events than the aspirin-sensitive patients (odds ratio 2.44, 95% confidence interval 1.81 to 3.30; p＜0.00001). Conclusions: Among CHD patients, approximately one in three individuals can be diagnosed as aspirin resistant on confirmed aspirin adherence. Patients identified as having laboratory aspirin resistance exhibit a 2.4-fold increased risk of MACE compared with aspirin-sensitive patients.

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