This far stern difficulhes and challenges fatal by the dev ofadn P in etna. to the bac national snon of China and the of and min the world market, China must meet the and Inainly by her own production. Using the input...This far stern difficulhes and challenges fatal by the dev ofadn P in etna. to the bac national snon of China and the of and min the world market, China must meet the and Inainly by her own production. Using the input output and system edence metal, this makesa foast abbot China’s glain output, grain and allsupport rate in the year 2030.展开更多
Rate of penetration(ROP) of a tunnel boring machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project. The objectives of this work are to compare the accu...Rate of penetration(ROP) of a tunnel boring machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project. The objectives of this work are to compare the accuracy of prediction models employing partial least squares(PLS) regression and support vector machine(SVM) regression technique for modeling the penetration rate of TBM. To develop the proposed models, the database that is composed of intact rock properties including uniaxial compressive strength(UCS), Brazilian tensile strength(BTS), and peak slope index(PSI), and also rock mass properties including distance between planes of weakness(DPW) and the alpha angle(α) are input as dependent variables and the measured ROP is chosen as an independent variable. Two hundred sets of data are collected from Queens Water Tunnel and Karaj-Tehran water transfer tunnel TBM project. The accuracy of the prediction models is measured by the coefficient of determination(R2) and root mean squares error(RMSE) between predicted and observed yield employing 10-fold cross-validation schemes. The R2 and RMSE of prediction are 0.8183 and 0.1807 for SVMR method, and 0.9999 and 0.0011 for PLS method, respectively. Comparison between the values of statistical parameters reveals the superiority of the PLSR model over SVMR one.展开更多
Background: Luteal phase support with GnRH agonist administration has been shown to be effective in improving the outcome of assisted reproductive technology. The goal of this study was to evaluate the effect of singl...Background: Luteal phase support with GnRH agonist administration has been shown to be effective in improving the outcome of assisted reproductive technology. The goal of this study was to evaluate the effect of single dose Triptrolin (a GnRH agonist) on the probability of the clinical pregnancy rate following embryo transfer (ET) in assisted reproductive techniques (ART). Methods: In this double blinded randomized clinical trial, 340 infertile women who were candidates for intra-cytoplasmic sperm injection (ICSI) were randomly assigned to receive GnRH agonist (Triptrolin) in the luteal phase or placebo. In the intervention group, 0.1 mg Triptrolin was injected subcutaneously, while the control group received normal saline. The clinical pregnancy and implantation rate were compared between the two groups using chi-2 and t-test. P-values less than 0.05 were considered significant. The registration number of this clinical trial is IRCT 2014030916912N1. Results: Administration of 0.1 mg Triptrolin on day 6 after oocyte pick up showed no superiority over placebo in implantation (16.9% - 14%, P = 0.40) and clinical pregnancy rates (32% - 29%, P = 0.66), but the rate of clinical pregnancy was higher in women who were below 27 years of age and those with PCO. Conclusion: Administration of Triptrolin was not superior to placebo for luteal phase support.展开更多
Based on the Duhamel integral, a couple of analytical solutions are derived to predict the strain rates of concrete and steel reinforcement in reinforced concrete slabs under blast loads and to estimate their variatio...Based on the Duhamel integral, a couple of analytical solutions are derived to predict the strain rates of concrete and steel reinforcement in reinforced concrete slabs under blast loads and to estimate their variation over depth of a cross-section along the entire length of the member. The analytical approach utilizes the single-degree-of-freedom mode for the analysis of reinforced concrete simply supported one-way panels subjected to blast loads. These analytical solutions can give the strain rate profile for any cross-section at any time and permit variations of strain rate in each time step of numerical iteration method, thus making it possible to directly incorporate strain rate effects into non-linear dynamic response analysis of structural members subjected to blast loads.展开更多
文摘This far stern difficulhes and challenges fatal by the dev ofadn P in etna. to the bac national snon of China and the of and min the world market, China must meet the and Inainly by her own production. Using the input output and system edence metal, this makesa foast abbot China’s glain output, grain and allsupport rate in the year 2030.
基金Project(2010CB732004)supported by the National Basic Research Program of ChinaProjects(50934006,41272304)supported by the National Natural Science Foundation of China
文摘Rate of penetration(ROP) of a tunnel boring machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project. The objectives of this work are to compare the accuracy of prediction models employing partial least squares(PLS) regression and support vector machine(SVM) regression technique for modeling the penetration rate of TBM. To develop the proposed models, the database that is composed of intact rock properties including uniaxial compressive strength(UCS), Brazilian tensile strength(BTS), and peak slope index(PSI), and also rock mass properties including distance between planes of weakness(DPW) and the alpha angle(α) are input as dependent variables and the measured ROP is chosen as an independent variable. Two hundred sets of data are collected from Queens Water Tunnel and Karaj-Tehran water transfer tunnel TBM project. The accuracy of the prediction models is measured by the coefficient of determination(R2) and root mean squares error(RMSE) between predicted and observed yield employing 10-fold cross-validation schemes. The R2 and RMSE of prediction are 0.8183 and 0.1807 for SVMR method, and 0.9999 and 0.0011 for PLS method, respectively. Comparison between the values of statistical parameters reveals the superiority of the PLSR model over SVMR one.
文摘Background: Luteal phase support with GnRH agonist administration has been shown to be effective in improving the outcome of assisted reproductive technology. The goal of this study was to evaluate the effect of single dose Triptrolin (a GnRH agonist) on the probability of the clinical pregnancy rate following embryo transfer (ET) in assisted reproductive techniques (ART). Methods: In this double blinded randomized clinical trial, 340 infertile women who were candidates for intra-cytoplasmic sperm injection (ICSI) were randomly assigned to receive GnRH agonist (Triptrolin) in the luteal phase or placebo. In the intervention group, 0.1 mg Triptrolin was injected subcutaneously, while the control group received normal saline. The clinical pregnancy and implantation rate were compared between the two groups using chi-2 and t-test. P-values less than 0.05 were considered significant. The registration number of this clinical trial is IRCT 2014030916912N1. Results: Administration of 0.1 mg Triptrolin on day 6 after oocyte pick up showed no superiority over placebo in implantation (16.9% - 14%, P = 0.40) and clinical pregnancy rates (32% - 29%, P = 0.66), but the rate of clinical pregnancy was higher in women who were below 27 years of age and those with PCO. Conclusion: Administration of Triptrolin was not superior to placebo for luteal phase support.
文摘Based on the Duhamel integral, a couple of analytical solutions are derived to predict the strain rates of concrete and steel reinforcement in reinforced concrete slabs under blast loads and to estimate their variation over depth of a cross-section along the entire length of the member. The analytical approach utilizes the single-degree-of-freedom mode for the analysis of reinforced concrete simply supported one-way panels subjected to blast loads. These analytical solutions can give the strain rate profile for any cross-section at any time and permit variations of strain rate in each time step of numerical iteration method, thus making it possible to directly incorporate strain rate effects into non-linear dynamic response analysis of structural members subjected to blast loads.
