BackgroundBoth stent retriever (SR) and contact aspiration (CA) are widely used as first-line strategies for acute posterior circulation strokes (PCS). However, it is still unclear how CA and SR compare as the first-line treatment of acute PCS. Several new studies have been published recently, so we aimed to perform an updated meta-analysis.MethodsThe meta-analysis was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement. Random-effects models were performed to pool the outcomes and the value of I2 was calculated to assess the heterogeneity.ResultsTen observational studies with 1189 patients were included, among whom 492 received first-line CA and 697 received first-line SR. The pooled results revealed that first-line CA could achieve a significantly higher proportion of modified Thrombolysis In Cerebral Infarction (mTICI) 2b/3 (OR 1.90, 95% CI 1.33 to 2.71, I2=0%), mTICI 3 (OR 1.95, 95% CI 1.15 to 3.31, I2=59.6%), first-pass effect (OR 2.91, 95% CI 1.51 to 5.58, I2=0%), lower incidence of new-territory embolic events (OR 0.20, 95% CI 0.05 to 0.83, I2=0%), and shorter procedure time (mean difference −29.4 min, 95% CI −46.8 to −12.0 min, I2=62.8%) compared with first-line SR. At 90-day follow-up, patients subjected to first-line CA showed a higher functional independence (modified Rankin Scale score 0–2; OR 1.38, 95% CI 1.01 to 1.87, I2=23.5%) and a lower mortality (OR 0.71, 95% CI 0.50 to 1.00, p=0.050, I2=0%) than those subjected to first-line SR.ConclusionsThis meta-analysis suggests that the first-line CA strategy could achieve better recanalization and clinical outcomes for acute PCS than first-line SR. Limited by the quality of included studies, this conclusion should be drawn with caution.
Large scale real-time water quality monitoring system usually produces vast amounts of high frequency data, and it is difficult for traditional water quality monitoring system to process such large and high frequency data generated by wireless sensor network. A real-time processing and early warning system framework is proposed to solve this problem, Apache Storm is used as the big data processing platform, and Kafka message queue is applied to classify the sample data into several data streams so as to reserve the time series data property of a sensor. In storm platform, Daubechies Wavelet is used to decompose the data series to obtain the trend of the series, then Long Short Term Memory Network (LSTM) model is used to model and predict the trend of the data. This paper provides a detailed description concerning the distribution mechanism of aggregated data in Storm, data storage format in HBase, the process of wavelet decomposition, model training and the application of mode for prediction. The application results in Xin’an River in Yantai City reveal that the prosed system framework has a very good ability to model big data with high prediction accuracy and robust processing capability.
Abstract. In order to study the performance of reinforcement anchorage connection with FRP restrained ring, static tensile tests were carried out on 66 specimens, The main parameters considered in the test such as the diameter of steel bars, the diameter and thickness of the restraint ring, the strength of concrete and the length of anchorage. The result shows that the anchorage performance of the steel bar can still be guaranteed even if the anchorage length reaches 0.8la, There is no slip and local destruction phenomenon between FRP restraint ring and internal grouting material and peripheral concrete. The study conclusions also indirectly prove that the proposed technique is a reinforcement connection method for fabricated concrete structures with many good performances including the reliable performance, simple construction process and good economic benefit, which is suitable for construction industrialization of prefabricated reinforced concrete structures..
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