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Additional file 1. File 1: Full inclusion and exclusion criteria. File 2: Complete dose adjustment principles.

OBJECTIVE: To assess the effectiveness of a three-stage intervention to reduce caesarean deliveries in a Chinese tertiary hospital. METHODS: A retrospective study was conducted to assess whether educating staff, educating patients and auditing surgeon practices (introduced in 2005) had reduced caesarean delivery rates. Multiple logistic regression was used to check for a potential association between caesarean rates and rates of admission to the neonatal intensive care unit (NICU). FINDINGS: The caesarean delivery rate ranged from 53.5% to 56.1% in 2001-2004 and from 43.9% to 36.1% in 2005-2011. When 2001-2004 and 2005-2011 were treated as "before" and "after" periods to evaluate the intervention's impact on the mean caesarean section rate, a significant reduction was noted: from 54.8% to 40.3% (odds ratio, OR: 0.56; 95% confidence interval, CI: 0.52-0.59; χ2 test: P < 0.001). The overall drop in the caesarean section rate was significant (χ2 test: P < 0.001) and inversely correlated with the years (Spearman's ρ: -0.096; P < 0.001). Although complicated pregnancies increased after 2004, the primary caesarean section rate decreased annually by 20% on average in 2005-2011, after practice audits were implemented. Multiple logistic regression showed a positive association between the caesarean delivery rate and the rate of admission to the NICU (adjusted OR: 1.26; 95% CI: 1.14-1.40). CONCLUSION: Patient and staff education and practice audits reduced the Caesarean section rate in a tertiary referral hospital without an increase in admissions to the NICU.

A new type of air-driven multi-fingered dexterous hand, named ZJUT Hand, is proposed. ZJUT Hand has good passive flexibility and can make up for the deficiency of existing dexterous hands in some ways. A new method for grasping model identification based ANFIS is proposed. Simulation experimental results show that the method can easily establish the model of the target objects, and has very good recognition accuracy and convergence. Equivalent rules of target objects are presented and greatly improve the efficiency of identification. A general grasp planning program of multi-fingered dexterous hand is proposed. Finally, the grasp planning experiments for ZJUT Hand is completed. Experimental results show that ZJUT Hand is able to construct the models of two typical target objects.

A generalized predictive control strategy aimed at a kind of bilinear Hammerstein model is proposed in the paper. The strategy avoids solving the high level equation by improving the static nonlinearity portion in the bilinear Hammerstein model and adopts the generalized predictive control algorithm in the bilinear portion to avoid the heavy computation of generic nonlinear optimization, thus the middle variable has an analytical form. The ability to resist disturbance is enhanced due to the introduction of multi-step generalized predictions control. Simulation examples demonstrate the effectiveness of the strategy.