The technology for image-to-image style transfer(a prevalent image processing task)has developed rapidly.The purpose of style transfer is to extract a texture from the source image domain and transfer it to the target...The technology for image-to-image style transfer(a prevalent image processing task)has developed rapidly.The purpose of style transfer is to extract a texture from the source image domain and transfer it to the target image domain using a deep neural network.However,the existing methods typically have a large computational cost.To achieve efficient style transfer,we introduce a novel Ghost module into the GANILLA architecture to produce more feature maps from cheap operations.Then we utilize an attention mechanism to transform images with various styles.We optimize the original generative adversarial network(GAN)by using more efficient calculation methods for image-to-illustration translation.The experimental results show that our proposed method is similar to human vision and still maintains the quality of the image.Moreover,our proposed method overcomes the high computational cost and high computational resource consumption for style transfer.By comparing the results of subjective and objective evaluation indicators,our proposed method has shown superior performance over existing methods.展开更多
The development of high-efficiency peroxidase mimetics is highly desirable in view of high cost and low stability of natural enzymes.From the perspective of mimicking active site microenvironment at low cost,we herein...The development of high-efficiency peroxidase mimetics is highly desirable in view of high cost and low stability of natural enzymes.From the perspective of mimicking active site microenvironment at low cost,we herein report a novel histidine-functionalized graphene quantum dot(His-GQD)/hemin complex,which exhibits the highest catalytic rate for the peroxidase-based chromogenic reaction among the hemin-containing mimetics reported so far.Also,our peroxidase mimetic shows excellent tolerance to strongly acidic conditions and can function in a wide temperature range.Lineweaver-Burk plots and comprehensive electron paramagnetic resonance analysis reveal a ping-pong type catalytic mechanism for this mimetic.In addition,His-GQD/hemin demonstrates high efficiency and accuracy in detecting H2O2 and blood glucose.Our work provides an effective design of artificial enzymes for practical applications.展开更多
基金This work was funded by the China Postdoctoral Science Foundation(No.2019M661319)Heilongjiang Postdoctoral Scientific Research Developmental Foundation(No.LBH-Q17042)+1 种基金Fundamental Research Funds for the Central Universities(3072020CFQ0602,3072020CF0604,3072020CFP0601)2019 Industrial Internet Innovation and Development Engineering(KY1060020002,KY10600200008).
文摘The technology for image-to-image style transfer(a prevalent image processing task)has developed rapidly.The purpose of style transfer is to extract a texture from the source image domain and transfer it to the target image domain using a deep neural network.However,the existing methods typically have a large computational cost.To achieve efficient style transfer,we introduce a novel Ghost module into the GANILLA architecture to produce more feature maps from cheap operations.Then we utilize an attention mechanism to transform images with various styles.We optimize the original generative adversarial network(GAN)by using more efficient calculation methods for image-to-illustration translation.The experimental results show that our proposed method is similar to human vision and still maintains the quality of the image.Moreover,our proposed method overcomes the high computational cost and high computational resource consumption for style transfer.By comparing the results of subjective and objective evaluation indicators,our proposed method has shown superior performance over existing methods.
基金The authors acknowledge financial support for this work from the National Key R&D Program"nanotechnology"special focus(No.2016YFA0201600)the National Natural Science Foundation of China(Nos.21422303,21573049,21872043,81602643)+1 种基金Beijing Natural Science Foundation(No.2142036)the Knowledge Innovation Program,Youth Innovation Promotion Association,and Special Program of"One Belt One Road"of CAS.The authors thank Dr.Dexing Li for the technique support and many helpful discussions for the ITC testing.
文摘The development of high-efficiency peroxidase mimetics is highly desirable in view of high cost and low stability of natural enzymes.From the perspective of mimicking active site microenvironment at low cost,we herein report a novel histidine-functionalized graphene quantum dot(His-GQD)/hemin complex,which exhibits the highest catalytic rate for the peroxidase-based chromogenic reaction among the hemin-containing mimetics reported so far.Also,our peroxidase mimetic shows excellent tolerance to strongly acidic conditions and can function in a wide temperature range.Lineweaver-Burk plots and comprehensive electron paramagnetic resonance analysis reveal a ping-pong type catalytic mechanism for this mimetic.In addition,His-GQD/hemin demonstrates high efficiency and accuracy in detecting H2O2 and blood glucose.Our work provides an effective design of artificial enzymes for practical applications.
