With the development of digitalization in healthcare,more and more information is delivered and stored in digital form,facilitating people’s lives significantly.In the meanwhile,privacy leakage and security issues co...With the development of digitalization in healthcare,more and more information is delivered and stored in digital form,facilitating people’s lives significantly.In the meanwhile,privacy leakage and security issues come along with it.Zero watermarking can solve this problem well.To protect the security of medical information and improve the algorithm’s robustness,this paper proposes a robust watermarking algorithm for medical images based on Non-Subsampled Shearlet Transform(NSST)and Schur decomposition.Firstly,the low-frequency subband image of the original medical image is obtained by NSST and chunked.Secondly,the Schur decomposition of low-frequency blocks to get stable values,extracting the maximum absolute value of the diagonal elements of the upper triangle matrix after the Schur decom-position of each low-frequency block and constructing the transition matrix from it.Then,the mean of the matrix is compared to each element’s value,creating a feature matrix by combining perceptual hashing,and selecting 32 bits as the feature sequence.Finally,the feature vector is exclusive OR(XOR)operated with the encrypted watermark information to get the zero watermark and complete registration with a third-party copyright certification center.Experimental data show that the Normalized Correlation(NC)values of watermarks extracted in random carrier medical images are above 0.5,with higher robustness than traditional algorithms,especially against geometric attacks and achieve watermark information invisibility without altering the carrier medical image.展开更多
Medical images are a critical component of the diagnostic process for clinicians.Although the quality of medical photographs is essential to the accuracy of a physician’s diagnosis,they must be encrypted due to the c...Medical images are a critical component of the diagnostic process for clinicians.Although the quality of medical photographs is essential to the accuracy of a physician’s diagnosis,they must be encrypted due to the characteristics of digital storage and information leakage associated with medical images.Traditional watermark embedding algorithm embeds the watermark information into the medical image,which reduces the quality of the medical image and affects the physicians’judgment of patient diagnosis.In addition,watermarks in this method have weak robustness under high-intensity geometric attacks when the medical image is attacked and the watermarks are destroyed.This paper proposes a novel watermarking algorithm using the convolutional neural networks(CNN)Inception V3 and the discrete cosine transform(DCT)to address above mentioned problems.First,the medical image is input into the Inception V3 network,which has been structured by adjusting parameters,such as the size of the convolution kernels and the typical architecture of the convolution modules.Second,the coefficients extracted from the fully connected layer of the network are transformed by DCT to obtain the feature vector of the medical image.At last,the watermarks are encrypted using the logistic map system and hash function,and the keys are stored by a third party.The encrypted watermarks and the original image features are performed logical operations to realize the embedding of zero-watermark.In the experimental section,multiple watermarking schemes using three different types of watermarks were implemented to verify the effectiveness of the three proposed algorithms.Our NC values for all the images are more than 90%accurate which shows the robustness of the algorithm.Extensive experimental results demonstrate the robustness under both conventional and high-intensity geometric attacks of the proposed algorithm.展开更多
[Objective] Heat shock factors (HSFs) are the major transcription factors of eukaryotic heat shock responses. This study aims to investigate the adversity stress tolerance functions of Arabidopsis heat shock factor At...[Objective] Heat shock factors (HSFs) are the major transcription factors of eukaryotic heat shock responses. This study aims to investigate the adversity stress tolerance functions of Arabidopsis heat shock factor AtHsfA1a,which has important significance for in-depth understanding of adversity stress tolerance mechanisms of plants and further utilization of heat shock factor genes. [Method] Genomic DNA of Arabidopsis was extracted with CTAB method and purified to obtain Arabidopsis DNA samples for in vitro site-specific recombination cloning(Gateway cloning) to construct plant expression vector of heat shock factor AtHsfA1a. Firstly,donor vector pDONR 201/AtHsfA1a was constructed based on attB and attP site-specific recombination method (BP reaction),to identify E. coli transformants harboring correct sequence of AtHsfA1a by sequencing; secondly,plant expression vector pB7WG2/AtHsfA1a overexpressing Arabidopsis heat shock factor AtHsfA1a was constructed based on attL and attR site-specific recombination method (LR reaction),to screen E. coli transformants harboring target plasmid. [Result] Plant expression vector of Arabidopsis heat shock factor gene AtHsfA1a was constructed successfully. [Conclusion] This study not only provided experimental materials for acquiring transgenic plants overexpressing heat shock transcription factor AtHsfA1a,but also laid the foundation for further investigation of the diversity of adversity stress tolerance functions regulated by HSFs.展开更多
With the enlargement of intensive feeding scale of dairy cows and improvement of milk yield,the incidence rate of displacement of abomasum in dairy cows increases gradually in recent years. Previous researches have sh...With the enlargement of intensive feeding scale of dairy cows and improvement of milk yield,the incidence rate of displacement of abomasum in dairy cows increases gradually in recent years. Previous researches have shown that VFA in abomasums can significantly inhibit the shrinkage of smooth muscles of abomasums and lead to atony of abomasums,but the specific regulatory mechanisms are still unclear. In this study,the expression of VFA receptors GPR41 and GPR43in cow abomasums were detected by PCR method,and the fragments were consistent with the excepted sizes. This study provided theoretical basis for the pathologic mechanism investigation,prevention and treatment of displacement of abomasum in dairy cows.展开更多
基金supported in part by the Natural Science Foundation of China under Grants 62063004the Key Research Project of Hainan Province under Grant ZDYF2021SHFZ093+1 种基金the Hainan Provincial Natural Science Foundation of China under Grants 2019RC018 and 619QN246the postdoctoral research from Zhejiang Province under Grant ZJ2021028.
文摘With the development of digitalization in healthcare,more and more information is delivered and stored in digital form,facilitating people’s lives significantly.In the meanwhile,privacy leakage and security issues come along with it.Zero watermarking can solve this problem well.To protect the security of medical information and improve the algorithm’s robustness,this paper proposes a robust watermarking algorithm for medical images based on Non-Subsampled Shearlet Transform(NSST)and Schur decomposition.Firstly,the low-frequency subband image of the original medical image is obtained by NSST and chunked.Secondly,the Schur decomposition of low-frequency blocks to get stable values,extracting the maximum absolute value of the diagonal elements of the upper triangle matrix after the Schur decom-position of each low-frequency block and constructing the transition matrix from it.Then,the mean of the matrix is compared to each element’s value,creating a feature matrix by combining perceptual hashing,and selecting 32 bits as the feature sequence.Finally,the feature vector is exclusive OR(XOR)operated with the encrypted watermark information to get the zero watermark and complete registration with a third-party copyright certification center.Experimental data show that the Normalized Correlation(NC)values of watermarks extracted in random carrier medical images are above 0.5,with higher robustness than traditional algorithms,especially against geometric attacks and achieve watermark information invisibility without altering the carrier medical image.
基金supported in part by Key Research Project of Hainan Province under Grant ZDYF2021SHFZ093the Natural Science Foundation of China under Grants 62063004 and 62162022+2 种基金the Hainan Provincial Natural Science Foundation of China under Grants 2019RC018,521QN206 and 619QN249the Major Scientific Project of Zhejiang Lab 2020ND8AD01the Scientific Research Foundation for Hainan University(No.KYQD(ZR)-21013).
文摘Medical images are a critical component of the diagnostic process for clinicians.Although the quality of medical photographs is essential to the accuracy of a physician’s diagnosis,they must be encrypted due to the characteristics of digital storage and information leakage associated with medical images.Traditional watermark embedding algorithm embeds the watermark information into the medical image,which reduces the quality of the medical image and affects the physicians’judgment of patient diagnosis.In addition,watermarks in this method have weak robustness under high-intensity geometric attacks when the medical image is attacked and the watermarks are destroyed.This paper proposes a novel watermarking algorithm using the convolutional neural networks(CNN)Inception V3 and the discrete cosine transform(DCT)to address above mentioned problems.First,the medical image is input into the Inception V3 network,which has been structured by adjusting parameters,such as the size of the convolution kernels and the typical architecture of the convolution modules.Second,the coefficients extracted from the fully connected layer of the network are transformed by DCT to obtain the feature vector of the medical image.At last,the watermarks are encrypted using the logistic map system and hash function,and the keys are stored by a third party.The encrypted watermarks and the original image features are performed logical operations to realize the embedding of zero-watermark.In the experimental section,multiple watermarking schemes using three different types of watermarks were implemented to verify the effectiveness of the three proposed algorithms.Our NC values for all the images are more than 90%accurate which shows the robustness of the algorithm.Extensive experimental results demonstrate the robustness under both conventional and high-intensity geometric attacks of the proposed algorithm.
基金Supported by National Natural Science Foundation of China(31060039,31260061)Natural Science Foundation of Yunnan Province(2010ZC163)+1 种基金Project of Kunming University(YJL11025)Fund for Key Discipline Construction of Kunming University
文摘[Objective] Heat shock factors (HSFs) are the major transcription factors of eukaryotic heat shock responses. This study aims to investigate the adversity stress tolerance functions of Arabidopsis heat shock factor AtHsfA1a,which has important significance for in-depth understanding of adversity stress tolerance mechanisms of plants and further utilization of heat shock factor genes. [Method] Genomic DNA of Arabidopsis was extracted with CTAB method and purified to obtain Arabidopsis DNA samples for in vitro site-specific recombination cloning(Gateway cloning) to construct plant expression vector of heat shock factor AtHsfA1a. Firstly,donor vector pDONR 201/AtHsfA1a was constructed based on attB and attP site-specific recombination method (BP reaction),to identify E. coli transformants harboring correct sequence of AtHsfA1a by sequencing; secondly,plant expression vector pB7WG2/AtHsfA1a overexpressing Arabidopsis heat shock factor AtHsfA1a was constructed based on attL and attR site-specific recombination method (LR reaction),to screen E. coli transformants harboring target plasmid. [Result] Plant expression vector of Arabidopsis heat shock factor gene AtHsfA1a was constructed successfully. [Conclusion] This study not only provided experimental materials for acquiring transgenic plants overexpressing heat shock transcription factor AtHsfA1a,but also laid the foundation for further investigation of the diversity of adversity stress tolerance functions regulated by HSFs.
基金Supported by the Fund for Visiting Scholars of the Ministry of Education of China(200809001)Fund for Young and Middle-aged Academic Leaders of "Qinglan Project" of Jiangsu Province(SJS[2010]No.27)
文摘With the enlargement of intensive feeding scale of dairy cows and improvement of milk yield,the incidence rate of displacement of abomasum in dairy cows increases gradually in recent years. Previous researches have shown that VFA in abomasums can significantly inhibit the shrinkage of smooth muscles of abomasums and lead to atony of abomasums,but the specific regulatory mechanisms are still unclear. In this study,the expression of VFA receptors GPR41 and GPR43in cow abomasums were detected by PCR method,and the fragments were consistent with the excepted sizes. This study provided theoretical basis for the pathologic mechanism investigation,prevention and treatment of displacement of abomasum in dairy cows.
