提取合并同位积数法(续)

八、乘九的九九连接法(一)

Age and outcomes of primary percutaneous intervention for ST elevation myocardial infarction in a tertiary center are we there yet？

Background Primary percutaneous intervention （PPCI） is the treatment of choice for ST elevation myocardial infarction （STEMI） but robust evidence in the very elderly is lacking. We compared PPCI outcomes between different age quartiles （quartile I 〈 60 years, quartile 2 〉 60 to 〈 70 years, quartile 3 〉 70 to 〈 80 years, quartile 4 〉 80 years）. Methods Retrospective observational analysis of our Morriston Tertiary Cardiac Center （Abertawe Bro Morgannwg University Health Board） patients from 2005 to 2010 with STEMI who underwent PPCI. Resnlts Of 434 patients, 57 （13%） were in quartile 4 （〉 80 years）. In older age quartiles, patients were less likely to receive a drug eluting stent （DES, P = 0.001） or glycoprotein IlbAIIa inhibitor （GPI, P 〈 0.0001）. Increase in age was associated with reduced time to survival （13-coefficient： -0.192, t： -3,70, 95%CI： --4.91 to -1.50, P 〈 0.0001） as was the presence of cardiogenic shock 03-coefficient： -0.194, t = 3.77, 95%CI： -5.26 to -1.65, P 〈 0.0001）. Use of GPI was associated with increased time to survival （p-coefficient： 0.138, t = 2.82, 95%CI： 1.58-8.58, P = 0.005） but older age quartiles were less likely to receive GPI （P 〈 0.0001）. In-hospital mortality （1.8% quartile 1, 3.6% quartile 2, 10.9% quartile 3 and 12.3% quartile 4, P = 0.002） and 1-year mortality （5.4% quartile 1, 5.5% quartile 2, 16.8% quartile 3 and 24.6% quartile 4, P 〈 0.0001, respectively） was significantly higher in older age quartiles. Conclusions Increased short term and intermediate term mortality is seen in the very elderly after PPCI. Age and cardiogenic shock were prognostic factors. Intervention should not be based on age alone and awareness regarding prognostic factors can help improve management.

Conditional Quantile Polynomial Distributed Lag Model with an Application to Rubber Price Returns

Impacts of returns on assets are not instantaneously felt, since there is lag period. In this paper we consider the problem of developing a model for the conditional QPDL （quantile polynomial distributed lag） and investigate the influences of the conditioning variables on the location, scale and shape parameters of the QPDL model. As an economic application, we consider the production of rubber and its price returns ofSri Lanka. From the analysis we observed that the QPDL model applications were better estimators than the PDL （Polynomial Distributed Lag） models.

Research on Co-seismic Displacement of the Yutian MS7.3 Earthquake Based on the High Frequency Data of GNSS

After the Yutian M_S7.3 earthquake,the authors instantly collected 1Hz high frequency data of the 4 reference stations within 350 km around the epicenter,and calculated the GNSS data with the TRACK module. The results showed that:( 1) The co-seismic displacement of Yutian station,about 54 km from the epicenter,is the most obvious,particularly in the EW component,with a change of about 52.5 ± 11mm,which is more than three times the mean-square error of calculating precision.( 2) In the Yutian reference station,the biggest variation in the EW component appeared within 1 minute after the earthquake.( 3) The change in the NS component is not great.

A LINEAR PROGRAMMING MODEL BASED ON NETWORK FLOW FOR PATHWAY INFERENCE

Signal transduction pathways play important roles in various biological processes such as cell cycle, apoptosis, proliferation, differentiation and responses to the external stimuli. Efficient computational methods are of great demands to map signaling pathways systematically based on the interactome and microarray data in the post-genome era. This paper proposes a novel approach to infer the pathways based on the network flow well studied in the operation research. The authors define a potentiality variable for each protein to denote the extent to which it contributes to the objective pathway. And the capacity on each edge is not a constant but a function of the potentiality variables of the corresponding two proteins. The total potentiality of all proteins is given an upper bound. The approach is formulated to a linear programming model and solved by the simplex method. Experiments on the yeast sporulation data suggest this novel approach recreats successfully the backbone of the MAPK signaling pathway with a low upper bound of the total potentiality. By increasing the upper bound, the approach successfully predicts all the members of the Mitogen-activated protein kinases （MAPK） pathway responding to the pheromone. This simple but effective approach can also be used to infer the genetic information processing pathways underlying the expression quantitative trait loci （eQTL） associations, illustrated by the second example.