Training neural network to recognize targets needs a lot of samples.People usually get these samples in a non-systematic way,which can miss or overemphasize some target information.To improve this situation,a new meth...Training neural network to recognize targets needs a lot of samples.People usually get these samples in a non-systematic way,which can miss or overemphasize some target information.To improve this situation,a new method based on virtual model and invariant moments was proposed to generate training samples.The method was composed of the following steps:use computer and simulation software to build target object's virtual model and then simulate the environment,light condition,camera parameter,etc.;rotate the model by spin and nutation of inclination to get the image sequence by virtual camera;preprocess each image and transfer them into binary image;calculate the invariant moments for each image and get a vectors' sequence.The vectors' sequence which was proved to be complete became the training samples together with the target outputs.The simulated results showed that the proposed method could be used to recognize the real targets and improve the accuracy of target recognition effectively when the sampling interval was short enough and the circumstance simulation was close enough.展开更多
Objective To understand the relationships between CDH13(T-cadherin) genetic polymorphisms, adiponectin levels and ischemic stroke, and possible interactions between CDH13 polymorphisms and other risk factors. Method...Objective To understand the relationships between CDH13(T-cadherin) genetic polymorphisms, adiponectin levels and ischemic stroke, and possible interactions between CDH13 polymorphisms and other risk factors. Methods We recruited 342 Chinese ischemic stroke sib pairs. We genotyped rs4783244 and rs7193788 on CDH13 using time-of-flight mass spectrometry genotyping technology and measured total and high-molecular weight(HMW) adiponectin levels. We investigated associations between SNPs and ischemic stroke, and interactions between SNPs and other risk factors using multi-level mixed-effects regression model. Results In individuals without ischemic stroke, CDH13 rs4783244 was associated with total adiponectin levels(per T: Coef =-0.257, P = 0.001). CDH13 rs7193788 was associated with total adiponectin levels(per A: Coef =-0.221, P = 0.001) and HMW adiponectin levels(per A: Coef =-0.163, P = 0.003). rs7193788 was significantly associated with ischemic stroke(GA/AA vs. GG: OR = 1.55, 95% CI: 1.07 to 2.24, P = 0.020) after Bonferroni correction(α = 0.025). There was an interaction between rs7193788 and diabetes(P = 0.036). Compared to diabetes-free individuals with rs7193788 GG genotype, diabetes patients with rs7193788 GA/AA genotypes had higher risks for ischemic stroke(OR = 2.64, 95% CI: 1.58-4.40, P 〈 0.001). Conclusion CDH13 genetic polymorphisms are associated with adiponectin levels and ischemic stroke. An interaction is found between CDH13 SNP and diabetes for ischemic stroke.展开更多
As China celebrates 40 years of reform and opening up,it shares mutual development with Africa The default impression of China for many foreigners three or four decades ago was kungfu movies.However,things have change...As China celebrates 40 years of reform and opening up,it shares mutual development with Africa The default impression of China for many foreigners three or four decades ago was kungfu movies.However,things have changed and the country has transformed into a land of highspeed展开更多
基金Supported by the Ministerial Level Research Foundation(404040401)
文摘Training neural network to recognize targets needs a lot of samples.People usually get these samples in a non-systematic way,which can miss or overemphasize some target information.To improve this situation,a new method based on virtual model and invariant moments was proposed to generate training samples.The method was composed of the following steps:use computer and simulation software to build target object's virtual model and then simulate the environment,light condition,camera parameter,etc.;rotate the model by spin and nutation of inclination to get the image sequence by virtual camera;preprocess each image and transfer them into binary image;calculate the invariant moments for each image and get a vectors' sequence.The vectors' sequence which was proved to be complete became the training samples together with the target outputs.The simulated results showed that the proposed method could be used to recognize the real targets and improve the accuracy of target recognition effectively when the sampling interval was short enough and the circumstance simulation was close enough.
基金supported by the Key Project of Natural Science Funds of China(81230066)the National Natural Science Fund Projects of China(81473043,81573226)
文摘Objective To understand the relationships between CDH13(T-cadherin) genetic polymorphisms, adiponectin levels and ischemic stroke, and possible interactions between CDH13 polymorphisms and other risk factors. Methods We recruited 342 Chinese ischemic stroke sib pairs. We genotyped rs4783244 and rs7193788 on CDH13 using time-of-flight mass spectrometry genotyping technology and measured total and high-molecular weight(HMW) adiponectin levels. We investigated associations between SNPs and ischemic stroke, and interactions between SNPs and other risk factors using multi-level mixed-effects regression model. Results In individuals without ischemic stroke, CDH13 rs4783244 was associated with total adiponectin levels(per T: Coef =-0.257, P = 0.001). CDH13 rs7193788 was associated with total adiponectin levels(per A: Coef =-0.221, P = 0.001) and HMW adiponectin levels(per A: Coef =-0.163, P = 0.003). rs7193788 was significantly associated with ischemic stroke(GA/AA vs. GG: OR = 1.55, 95% CI: 1.07 to 2.24, P = 0.020) after Bonferroni correction(α = 0.025). There was an interaction between rs7193788 and diabetes(P = 0.036). Compared to diabetes-free individuals with rs7193788 GG genotype, diabetes patients with rs7193788 GA/AA genotypes had higher risks for ischemic stroke(OR = 2.64, 95% CI: 1.58-4.40, P 〈 0.001). Conclusion CDH13 genetic polymorphisms are associated with adiponectin levels and ischemic stroke. An interaction is found between CDH13 SNP and diabetes for ischemic stroke.
文摘As China celebrates 40 years of reform and opening up,it shares mutual development with Africa The default impression of China for many foreigners three or four decades ago was kungfu movies.However,things have changed and the country has transformed into a land of highspeed