Conceptualizations of empathy have been most fully developed in a variety of fields in recent years.Many approaches to empathy dwell on the cognitive,affective,and behavioral aspects,the intra-psychic processes that c...Conceptualizations of empathy have been most fully developed in a variety of fields in recent years.Many approaches to empathy dwell on the cognitive,affective,and behavioral aspects,the intra-psychic processes that cause one to feel emotions more like those of another,rather than the interpersonal functions of empathy,which may be influenced by the variables during the communication process.Therefore,this study designed and implemented a virtual ethnographic intercultural project between Chinese and American university students with WeChat as the main social medium.The whole process included three phases:exploring the unique cultural experiences of Chinese and American students,seeking an empathy based on commonality and seeking a relational empathy,a form of harmonization and integration through interactive and continuous intercultural dialogues.During the process,the method of discourse-centered online ethnography(DCOE)was employed,which involved systematic observation and interaction with WeChat users.We used the collective data to analyze how relational empathy was developed through understanding cultural differences,seeking similarities,and creating a third culture by engaging students in a substantial and dynamic natural and interactive setting.The study shows that the most challenging process to nurture relational empathy is to move from Phases One and Two to Phase Three,during which,some strategies to build relational empathy need to be taught and practiced in a specific cultural setting.In conclusion,virtual ethnographic intercultural teaching is an effective approach to offer students a long-term intercultural dialogue and insight into developing shared meaning,or dynamic relational empathy with culturally different others.展开更多
Advances in optical coherence tomography(OCT)technology allow a clear view of the vitreoretinal interface(VRI).The abnormality of the VRI is one of the common symptoms of high myopia,mainly including posterior vitreou...Advances in optical coherence tomography(OCT)technology allow a clear view of the vitreoretinal interface(VRI).The abnormality of the VRI is one of the common symptoms of high myopia,mainly including posterior vitreous detachment(PVD)and epiretinal membrane(ERM).They can cause severe damage to the structure and function of the retina,leading to permanent vision loss.Therefore,fully automated detection of abnormalities at the VRI is crucial for the management of high myopia.This paper presents a DS-YOLOv7 network aimed at accurately identifying abnormalities,including partial PVD,complete PVD,and ERM from retinal OCT images.Built upon the YOLOv7 network,the proposed model integrates the advanced dynamic snake convolution(DSConv)module to capture the curvilinear characteristics of lesions,and the mixture of attention and convolution(ACMix)module to improve the precision and robustness of feature extraction through effective fusion of self-attention mechanisms and convolution.Moreover,the introduction of the efficient complete intersection-over-union(ECIoU)loss function further enhances the coordinate regression capability of the model.Threefold cross-validation on a dataset with 1973 OCT B-scans from 46 patients shows that the DS-YOLOv7 achieved superior performance in vitreoretinal interface abnormality detection,with mAP@0.5 of 0.714,mAP@0.75 of 0.438,and mAP@0.5:0.95 of 0.424.The proposed model can provide an accurate and efficient diagnostic tool for patients with high myopia.展开更多
文摘Conceptualizations of empathy have been most fully developed in a variety of fields in recent years.Many approaches to empathy dwell on the cognitive,affective,and behavioral aspects,the intra-psychic processes that cause one to feel emotions more like those of another,rather than the interpersonal functions of empathy,which may be influenced by the variables during the communication process.Therefore,this study designed and implemented a virtual ethnographic intercultural project between Chinese and American university students with WeChat as the main social medium.The whole process included three phases:exploring the unique cultural experiences of Chinese and American students,seeking an empathy based on commonality and seeking a relational empathy,a form of harmonization and integration through interactive and continuous intercultural dialogues.During the process,the method of discourse-centered online ethnography(DCOE)was employed,which involved systematic observation and interaction with WeChat users.We used the collective data to analyze how relational empathy was developed through understanding cultural differences,seeking similarities,and creating a third culture by engaging students in a substantial and dynamic natural and interactive setting.The study shows that the most challenging process to nurture relational empathy is to move from Phases One and Two to Phase Three,during which,some strategies to build relational empathy need to be taught and practiced in a specific cultural setting.In conclusion,virtual ethnographic intercultural teaching is an effective approach to offer students a long-term intercultural dialogue and insight into developing shared meaning,or dynamic relational empathy with culturally different others.
基金supported by the National Natural Science Foundation of China(62271337,62371326,and 62371328)the National Key Research and Development Program of China(2019FYC1710204)+1 种基金the National Clinical Key Specialty Construction Project(10000015Z155080000004)the Natural Science Foundation of Jiangsu Province(BK20231310).
文摘Advances in optical coherence tomography(OCT)technology allow a clear view of the vitreoretinal interface(VRI).The abnormality of the VRI is one of the common symptoms of high myopia,mainly including posterior vitreous detachment(PVD)and epiretinal membrane(ERM).They can cause severe damage to the structure and function of the retina,leading to permanent vision loss.Therefore,fully automated detection of abnormalities at the VRI is crucial for the management of high myopia.This paper presents a DS-YOLOv7 network aimed at accurately identifying abnormalities,including partial PVD,complete PVD,and ERM from retinal OCT images.Built upon the YOLOv7 network,the proposed model integrates the advanced dynamic snake convolution(DSConv)module to capture the curvilinear characteristics of lesions,and the mixture of attention and convolution(ACMix)module to improve the precision and robustness of feature extraction through effective fusion of self-attention mechanisms and convolution.Moreover,the introduction of the efficient complete intersection-over-union(ECIoU)loss function further enhances the coordinate regression capability of the model.Threefold cross-validation on a dataset with 1973 OCT B-scans from 46 patients shows that the DS-YOLOv7 achieved superior performance in vitreoretinal interface abnormality detection,with mAP@0.5 of 0.714,mAP@0.75 of 0.438,and mAP@0.5:0.95 of 0.424.The proposed model can provide an accurate and efficient diagnostic tool for patients with high myopia.
