Objective To develop a facial image generation method based on a facial color-preserving generative adversarial network(FCP-GAN)that effectively decouples identity features from diagnostic facial complexion characteri...Objective To develop a facial image generation method based on a facial color-preserving generative adversarial network(FCP-GAN)that effectively decouples identity features from diagnostic facial complexion characteristics in traditional Chinese medicine(TCM)inspection,thereby addressing the critical challenge of privacy preservation in medical image analysis.Methods A facial image dataset was constructed from participants at Nanjing University of Chinese Medicine between April 23 and June 10,2023,using a TCM full-body inspection data acquisition equipment under controlled illumination.The proposed FCP-GAN model was designed to achieve the dual objectives of removing identity features and preserving colors through three key components:(i)a multi-space combination module that comprehensively extracts color attributes from red,green,blue(RGB),hue,saturation,value(HSV),and Lab spaces;(ii)a generator incorporating efficient channel attention(ECA)mechanism to enhance the representation of diagnostically critical color channels;and(iii)a dual-loss function that combines adversarial loss for de-identification with a dedicated color preservation loss.The model was trained and evaluated using a stratified 5-fold cross-validation strategy and evaluated against four baseline generative models:conditional GAN(CGAN),deep convolutional GAN(DCGAN),dual discriminator CGAN(DDCGAN),and medical GAN(MedGAN).Performance was assessed in terms of image quality[peak signal-to-noise ratio(PSNR)and structural similarity(SSIM)],distribution similarity[Fréchet inception distance(FID)],privacy protection(face recognition accuracy),and diagnostic consistency[mean squared error(MSE)and Pearson correlation coefficient(PCC)].Results The final analysis included facial images from 216 participants.Compared with baseline models,FCP-GAN achieved superior performance,with PSNR=31.02 dB and SSIM=0.908,representing an improvement of 1.21 dB and 0.034 in SSIM over the strongest baseline(MedGAN).The FID value(23.45)was also the lowest among all models,indicating superior distributional similarity to real images.The multi-space feature fusion and the ECA mechanism contributed significantly to these performance gains,as evidenced by ablation studies.The stratified 5-fold cross-validation confirmed the model’s robustness,with results reported as mean±standard deviation(SD)across all folds.The model effectively protected privacy by reducing face recognition accuracy from 95.2%(original images)to 60.1%(generated images).Critically,it maintained high diagnostic fidelity,as evidenced by a low MSE(<0.051)and a high PCC(>0.98)for key TCM facial features between original and generated images.Conclusion The FCP-GAN model provides an effective technical solution for ensuring privacy in TCM diagnostic imaging,successfully having removed identity features while preserving clinically vital facial color features.This study offers significant value for developing intelligent and secure TCM telemedicine systems.展开更多
OBJECTIVE:To design a model to capture information on the state and trends of knowledge creation,at both an individual and an organizational level,in order to enhance knowledge management.METHODS:We designed a graph-t...OBJECTIVE:To design a model to capture information on the state and trends of knowledge creation,at both an individual and an organizational level,in order to enhance knowledge management.METHODS:We designed a graph-theoretic knowledge model,the expert knowledge map(EKM),based on literature-based annotation.A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model.RESULTS:The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs,expert graphs,and expert-knowledge biography.CONCLUSION:Our model could help to reveal thehot topics,trends,and products of the research done by an organization.It can potentially be used to facilitate knowledge learning,sharing and decision-making among researchers,academicians,students,and administrators of organizations.展开更多
Pulse diagnosis equipment used in Traditional Chinese Medicine(TCM)has long been developed for collecting pulse information and in TCM research.However,it is still difficult to implement pulse taking automatically or ...Pulse diagnosis equipment used in Traditional Chinese Medicine(TCM)has long been developed for collecting pulse information and in TCM research.However,it is still difficult to implement pulse taking automatically or efficiently in clinical practice.Here,we present a digital protocol for TCM pulse information collection based on bionic pulse diagnosis equipment,which ensures high efficiency,reliability and data integrity of pulse diagnosis information.A four-degree-of-freedom pulse taking platform together with a wrist bracket can satisfy the spatial positioning and angle requirements for individually adaptive pulse acquisition.Three-dimensional reconstruction of a wrist surface and an image localization model are combined to provide coordinates of the acquisition position and detection direction automatically.Three series elastic joints can not only simulate the TCM pulse taking method that“Three fingers in a straight line,the middle finger determining the‘Guan’location and finger pulp pressing on the radial artery,”but also simultaneously carry out the force-controlled multi-gradient pressing process.In terms of pulse information integrity,this proposed protocol can generate rich pulse information,including basic individual information,pulse localization distribution,multi-gradient dynamic pulse force time series,and objective pulse parameters,which can help establish the fundamental data sets that are required as the pulse phenotype for subsequent comprehensive analysis of pulse diagnosis.The implementation of this scheme is beneficial to promote the standardization of the digitalized collection of pulse information,the effectiveness of detecting abnormal health status,and the promotion of the fundamental and clinical research of TCM,such as TCM pulse phenomics.展开更多
This article attempts to apply the strategic management theory to the subsequent shaping up of a readjusted strategic development policy for Shanghai Library after its merger with the Institute of Scientific and Techn...This article attempts to apply the strategic management theory to the subsequent shaping up of a readjusted strategic development policy for Shanghai Library after its merger with the Institute of Scientific and Technological Information of Shanghai(ISTIS)in 1995.It also tries to analyze and explicate such an empirical implementation of institutional reintegration process through strategic management at Shanghai Metropolitan Library.By doing so,it aims to present an objective case study of activities based on the strategic management paradigm at a major Chinese metropolitan public library.展开更多
基金National Key Research and Development Program of China(2022YFC3502302)Graduate Research Innovation Program of Jiangsu Province(KYCX25_2269)。
文摘Objective To develop a facial image generation method based on a facial color-preserving generative adversarial network(FCP-GAN)that effectively decouples identity features from diagnostic facial complexion characteristics in traditional Chinese medicine(TCM)inspection,thereby addressing the critical challenge of privacy preservation in medical image analysis.Methods A facial image dataset was constructed from participants at Nanjing University of Chinese Medicine between April 23 and June 10,2023,using a TCM full-body inspection data acquisition equipment under controlled illumination.The proposed FCP-GAN model was designed to achieve the dual objectives of removing identity features and preserving colors through three key components:(i)a multi-space combination module that comprehensively extracts color attributes from red,green,blue(RGB),hue,saturation,value(HSV),and Lab spaces;(ii)a generator incorporating efficient channel attention(ECA)mechanism to enhance the representation of diagnostically critical color channels;and(iii)a dual-loss function that combines adversarial loss for de-identification with a dedicated color preservation loss.The model was trained and evaluated using a stratified 5-fold cross-validation strategy and evaluated against four baseline generative models:conditional GAN(CGAN),deep convolutional GAN(DCGAN),dual discriminator CGAN(DDCGAN),and medical GAN(MedGAN).Performance was assessed in terms of image quality[peak signal-to-noise ratio(PSNR)and structural similarity(SSIM)],distribution similarity[Fréchet inception distance(FID)],privacy protection(face recognition accuracy),and diagnostic consistency[mean squared error(MSE)and Pearson correlation coefficient(PCC)].Results The final analysis included facial images from 216 participants.Compared with baseline models,FCP-GAN achieved superior performance,with PSNR=31.02 dB and SSIM=0.908,representing an improvement of 1.21 dB and 0.034 in SSIM over the strongest baseline(MedGAN).The FID value(23.45)was also the lowest among all models,indicating superior distributional similarity to real images.The multi-space feature fusion and the ECA mechanism contributed significantly to these performance gains,as evidenced by ablation studies.The stratified 5-fold cross-validation confirmed the model’s robustness,with results reported as mean±standard deviation(SD)across all folds.The model effectively protected privacy by reducing face recognition accuracy from 95.2%(original images)to 60.1%(generated images).Critically,it maintained high diagnostic fidelity,as evidenced by a low MSE(<0.051)and a high PCC(>0.98)for key TCM facial features between original and generated images.Conclusion The FCP-GAN model provides an effective technical solution for ensuring privacy in TCM diagnostic imaging,successfully having removed identity features while preserving clinically vital facial color features.This study offers significant value for developing intelligent and secure TCM telemedicine systems.
基金Supported by the Ministry of Science and Technology Support Projects(No.12116BAI14A21)
文摘OBJECTIVE:To design a model to capture information on the state and trends of knowledge creation,at both an individual and an organizational level,in order to enhance knowledge management.METHODS:We designed a graph-theoretic knowledge model,the expert knowledge map(EKM),based on literature-based annotation.A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model.RESULTS:The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs,expert graphs,and expert-knowledge biography.CONCLUSION:Our model could help to reveal thehot topics,trends,and products of the research done by an organization.It can potentially be used to facilitate knowledge learning,sharing and decision-making among researchers,academicians,students,and administrators of organizations.
基金supported by the Shanghai 2021 Science and Technology Innovation Action Plan Project(Grant No.21S31902500)the Independent Deployment of Scientific Research Projects of Jihua Laboratory(Grant No.X190051TB190)the National Natural Science Foundation of China(Grant No.U1913216).
文摘Pulse diagnosis equipment used in Traditional Chinese Medicine(TCM)has long been developed for collecting pulse information and in TCM research.However,it is still difficult to implement pulse taking automatically or efficiently in clinical practice.Here,we present a digital protocol for TCM pulse information collection based on bionic pulse diagnosis equipment,which ensures high efficiency,reliability and data integrity of pulse diagnosis information.A four-degree-of-freedom pulse taking platform together with a wrist bracket can satisfy the spatial positioning and angle requirements for individually adaptive pulse acquisition.Three-dimensional reconstruction of a wrist surface and an image localization model are combined to provide coordinates of the acquisition position and detection direction automatically.Three series elastic joints can not only simulate the TCM pulse taking method that“Three fingers in a straight line,the middle finger determining the‘Guan’location and finger pulp pressing on the radial artery,”but also simultaneously carry out the force-controlled multi-gradient pressing process.In terms of pulse information integrity,this proposed protocol can generate rich pulse information,including basic individual information,pulse localization distribution,multi-gradient dynamic pulse force time series,and objective pulse parameters,which can help establish the fundamental data sets that are required as the pulse phenotype for subsequent comprehensive analysis of pulse diagnosis.The implementation of this scheme is beneficial to promote the standardization of the digitalized collection of pulse information,the effectiveness of detecting abnormal health status,and the promotion of the fundamental and clinical research of TCM,such as TCM pulse phenomics.
文摘This article attempts to apply the strategic management theory to the subsequent shaping up of a readjusted strategic development policy for Shanghai Library after its merger with the Institute of Scientific and Technological Information of Shanghai(ISTIS)in 1995.It also tries to analyze and explicate such an empirical implementation of institutional reintegration process through strategic management at Shanghai Metropolitan Library.By doing so,it aims to present an objective case study of activities based on the strategic management paradigm at a major Chinese metropolitan public library.
