With the continuous progress of The Times and the development of technology,the rise of network social media has also brought the“explosive”growth of image data.As one of the main ways of People’s Daily communicati...With the continuous progress of The Times and the development of technology,the rise of network social media has also brought the“explosive”growth of image data.As one of the main ways of People’s Daily communication,image is widely used as a carrier of communication because of its rich content,intuitive and other advantages.Image recognition based on convolution neural network is the first application in the field of image recognition.A series of algorithm operations such as image eigenvalue extraction,recognition and convolution are used to identify and analyze different images.The rapid development of artificial intelligence makes machine learning more and more important in its research field.Use algorithms to learn each piece of data and predict the outcome.This has become an important key to open the door of artificial intelligence.In machine vision,image recognition is the foundation,but how to associate the low-level information in the image with the high-level image semantics becomes the key problem of image recognition.Predecessors have provided many model algorithms,which have laid a solid foundation for the development of artificial intelligence and image recognition.The multi-level information fusion model based on the VGG16 model is an improvement on the fully connected neural network.Different from full connection network,convolutional neural network does not use full connection method in each layer of neurons of neural network,but USES some nodes for connection.Although this method reduces the computation time,due to the fact that the convolutional neural network model will lose some useful feature information in the process of propagation and calculation,this paper improves the model to be a multi-level information fusion of the convolution calculation method,and further recovers the discarded feature information,so as to improve the recognition rate of the image.VGG divides the network into five groups(mimicking the five layers of AlexNet),yet it USES 3*3 filters and combines them as a convolution sequence.Network deeper DCNN,channel number is bigger.The recognition rate of the model was verified by 0RL Face Database,BioID Face Database and CASIA Face Image Database.展开更多
Epstein-Barr virus infection is strongly associated with a number of malignancies.The EBV latent membrane protein 2A has been implicated as one of the most attractive candidates for immunotherapy of related malignanci...Epstein-Barr virus infection is strongly associated with a number of malignancies.The EBV latent membrane protein 2A has been implicated as one of the most attractive candidates for immunotherapy of related malignancies.In previous studies,the T cell epitopes of LMP2A have been identified systematically.However,the epitope-based vaccine generally meets inefficient immunogenicity when used in vivo directly,which could be overcome by combination with appropriate adjuvants.Heat shock protein is a natural chaperon,which is able to activate the classical major histocompatibility complex class I antigen-processing pathway(cross-presentation).In this study,a minigene encoding LMP2A356-364(FLYALALLL)was genetically fused to the carboxy-terminal of mycobacterial heat shock protein 70.The epitope fusion protein was expressed and purified,and the cross-presentation of LMP2A_(356-364) by monocyte-derived dendritic cells pulsed with the epitope fusion protein was evaluated.Results showed that the epitope fusion protein-pulsed mDCs were much more efficient than the single peptide-pulsed mDCs on CTL activation.Immunization of HLA-A2.1 transgenic mice with MtHsp70-LMP2A_(356-364) generated peptide specific CTL more effectively than a single peptide plus incomplete Freund's adjuvant(IFA).Growth of LMP2A expressing B16 melanoma tumor cells was suppressed in the vaccinated groups.Our results suggested that MtHsp70-LMP2A_(356-364) fusion protein was more effective than the CD8^(+)T cell epitope alone on anti-tumor immunity.As a result,the MtHsp70-LMP2A_(356-364) fusion protein is considered to be a promising candidate vaccine for EBV related malignancies.展开更多
文摘With the continuous progress of The Times and the development of technology,the rise of network social media has also brought the“explosive”growth of image data.As one of the main ways of People’s Daily communication,image is widely used as a carrier of communication because of its rich content,intuitive and other advantages.Image recognition based on convolution neural network is the first application in the field of image recognition.A series of algorithm operations such as image eigenvalue extraction,recognition and convolution are used to identify and analyze different images.The rapid development of artificial intelligence makes machine learning more and more important in its research field.Use algorithms to learn each piece of data and predict the outcome.This has become an important key to open the door of artificial intelligence.In machine vision,image recognition is the foundation,but how to associate the low-level information in the image with the high-level image semantics becomes the key problem of image recognition.Predecessors have provided many model algorithms,which have laid a solid foundation for the development of artificial intelligence and image recognition.The multi-level information fusion model based on the VGG16 model is an improvement on the fully connected neural network.Different from full connection network,convolutional neural network does not use full connection method in each layer of neurons of neural network,but USES some nodes for connection.Although this method reduces the computation time,due to the fact that the convolutional neural network model will lose some useful feature information in the process of propagation and calculation,this paper improves the model to be a multi-level information fusion of the convolution calculation method,and further recovers the discarded feature information,so as to improve the recognition rate of the image.VGG divides the network into five groups(mimicking the five layers of AlexNet),yet it USES 3*3 filters and combines them as a convolution sequence.Network deeper DCNN,channel number is bigger.The recognition rate of the model was verified by 0RL Face Database,BioID Face Database and CASIA Face Image Database.
基金This work was funded by the National Natural Science Foundation of China(No.30170880 and No.30571715)Science Committee Foundation of Jiangsu Province(No.BJ98100)Project of Key Laboratory of Laboratory Diagnosis of Jiangsu Province(No.XK200731).
文摘Epstein-Barr virus infection is strongly associated with a number of malignancies.The EBV latent membrane protein 2A has been implicated as one of the most attractive candidates for immunotherapy of related malignancies.In previous studies,the T cell epitopes of LMP2A have been identified systematically.However,the epitope-based vaccine generally meets inefficient immunogenicity when used in vivo directly,which could be overcome by combination with appropriate adjuvants.Heat shock protein is a natural chaperon,which is able to activate the classical major histocompatibility complex class I antigen-processing pathway(cross-presentation).In this study,a minigene encoding LMP2A356-364(FLYALALLL)was genetically fused to the carboxy-terminal of mycobacterial heat shock protein 70.The epitope fusion protein was expressed and purified,and the cross-presentation of LMP2A_(356-364) by monocyte-derived dendritic cells pulsed with the epitope fusion protein was evaluated.Results showed that the epitope fusion protein-pulsed mDCs were much more efficient than the single peptide-pulsed mDCs on CTL activation.Immunization of HLA-A2.1 transgenic mice with MtHsp70-LMP2A_(356-364) generated peptide specific CTL more effectively than a single peptide plus incomplete Freund's adjuvant(IFA).Growth of LMP2A expressing B16 melanoma tumor cells was suppressed in the vaccinated groups.Our results suggested that MtHsp70-LMP2A_(356-364) fusion protein was more effective than the CD8^(+)T cell epitope alone on anti-tumor immunity.As a result,the MtHsp70-LMP2A_(356-364) fusion protein is considered to be a promising candidate vaccine for EBV related malignancies.
基金supported in part by the National Natural Science Foundation of China under Grant 62162068,Grant 61761049,Grant 61540062 and Grant 62061049in part by the Yunnan Province Ten Thousand Talents Program and Yunling Scholars Special Project under Grant YNWR-YLXZ-2018-022in part by the Yunnan Provincial Science and Technology Department-Yunnan University“Double First Class”Construction Joint Fund Project under Grant No.2019FY003012.