Transient neurologic syndrome (TNS) is a common self-limited complication of spinal anesthesia. Many local anesthetics can cause transient neurological syndrome, in which the incidence of lidocaine is relatively high. In addition, bupivacaine, levobupivacaine, articaine, and ropivacaine can also cause TNS. We conducted a consecutive retrospective cohort study to investigate the incidence of TNS and its associated factors in patients treated with bupivacaine and ropivacaine. We conducted a retrospective cohort study, reviewing the medical records of surgical patients who received bupivacaine and ropivacaine spinal anesthesia in Chengdu Shuangliu District First People's Hospital in the past year to determine the incidence of TNS. For the first time, we used the TNS score table to quantify the occurrence of TNS. There were 24 cases (41.38%) of TNS in the bupivacaine group and 45 cases (33.33%) of TNS in the ropivacaine group. There was no significant difference in VAS and TNS scores between the two groups. It was found that the occurrence of TNS with bupivacaine was correlated with VAS score (Pearson correlation = 0.1813), while the occurrence of TNS with ropivacaine was correlated with sensory blockade (Pearson correlation = − 0.0642). The TNS scale can be used to evaluate the postoperative TNS of patients, and ropivacaine is used for spinal anesthesia with appropriate high anesthesia, which is less likely to lead to postoperative TNS.
A hybrid-clustering model is presented for the probabilistic characterization of ship traffic and anomaly detection. A hybrid clustering model was proposed to increase the efficiency of trajectory clustering in the port area and analyze the maritime traffic patterns in port. The model identified dissimilarities between trajectories based on characteristics, using K-Means and the density-based spatial clustering of applications with noise algorithm (DBSCAN). Firstly, the ship’s trajectory characteristics are constructed based on real ship trajectories considering static characteristics and dynamic characteristics of ship trajectories to calculate the characteristic dissimilarity between trajectories. Simultaneously, the spatial dissimilarity could be quantified using the Hausdorff algorithm. Then, the ship trajectory is clustered initially based on the departure and destination characteristics using K-Means algorithms to obtain various sub-trajectories. However, there are still different types of trajectories in each sub-trajectory. Thus, the DBSCAN algorithm is adopted to cluster the sub-trajectory based on the analysis of the different trajectory characteristics. Finally, the proposed model is applied to the characterization of the Zhanjiang Port, and the results show that the hybrid-clustering method can effectively cluster ship trajectory and present probabilistic characterization of ship traffic and anomaly detection. This lays a solid theoretical foundation for the supervision and risk control of intelligent ships.
Rural economic development helps reduce the income inequality in China. Existing studies show the positive effects of rural reforms, however, whether the rural credit cooperative’s shareholding reform promotes rural economic development and whether effects are exerted through the synergism between agricultural producers and rural financial institutions remain unclear yet. Employing the rationale of isomorphic incentive compatibility from system science, we analyze the necessity and influencing conduit of rural credit cooperative’s shareholding reform theoretically. Analysis shows that only the financial services from rural commercial banks can promote the modernized production, and thus the synergism between them drives rural economic development. Then we make empirical analysis on the effect with a Chinese provincial sample. Comparing to provinces with lower reform progress, the provinces with greater reform progress are influenced more prominently by this reform. Applying coupling coordination degree model, the coordination between agricultural production and rural banking development shows obvious increase, especially after the formal implementation of shareholding reform on rural credit cooperative. Empirical results indicate that this synergism plays positive roles in promoting agricultural growth and reducing the urban–rural income gap. In addition, these effects are more pronounced after the formal implementation of shareholding reform.
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