Aiming at the challenges associated with the absence of a labeled dataset for Yi characters and the complexity of Yi character detection and recognition,we present a deep learning-based approach for Yi character detec...Aiming at the challenges associated with the absence of a labeled dataset for Yi characters and the complexity of Yi character detection and recognition,we present a deep learning-based approach for Yi character detection and recognition.In the detection stage,an improved Differentiable Binarization Network(DBNet)framework is introduced to detect Yi characters,in which the Omni-dimensional Dynamic Convolution(ODConv)is combined with the ResNet-18 feature extraction module to obtain multi-dimensional complementary features,thereby improving the accuracy of Yi character detection.Then,the feature pyramid network fusion module is used to further extract Yi character image features,improving target recognition at different scales.Further,the previously generated feature map is passed through a head network to produce two maps:a probability map and an adaptive threshold map of the same size as the original map.These maps are then subjected to a differentiable binarization process,resulting in an approximate binarization map.This map helps to identify the boundaries of the text boxes.Finally,the text detection box is generated after the post-processing stage.In the recognition stage,an improved lightweight MobileNetV3 framework is used to recognize the detect character regions,where the original Squeeze-and-Excitation(SE)block is replaced by the efficient Shuffle Attention(SA)that integrates spatial and channel attention,improving the accuracy of Yi characters recognition.Meanwhile,the use of depth separable convolution and reversible residual structure can reduce the number of parameters and computation of the model,so that the model can better understand the contextual information and improve the accuracy of text recognition.The experimental results illustrate that the proposed method achieves good results in detecting and recognizing Yi characters,with detection and recognition accuracy rates of 97.5%and 96.8%,respectively.And also,we have compared the detection and recognition algorithms proposed in this paper with other typical algorithms.In these comparisons,the proposed model achieves better detection and recognition results with a certain reliability.展开更多
BACKGROUND Xanthomatosis,a metabolic disorder causing yellow growths(xanthomas),poses challenges in lipid metabolism.This case study introduces the first documented instance within China's Yi population,emphasizin...BACKGROUND Xanthomatosis,a metabolic disorder causing yellow growths(xanthomas),poses challenges in lipid metabolism.This case study introduces the first documented instance within China's Yi population,emphasizing the need to explore dietary habits and treatment strategies tailored to this specific community.CASE SUMMARY Xanthomatosis is a metabolic disorder where lipid metabolism goes awry,resulting in the development of yellowish growths called xanthomas.A male patient,47 years of age,from China's Yi population,who is obese,visited our dermatology clinic complaining of widespread,non-painful rashes that have been present for two weeks.The patient works as a chef and has a diet that frequently includes oily and greasy foods.This case represents the initial documentation of xanthomatosis within the Yi population in China,offering a theoretical foundation for understanding dietary patterns and treatment options specific to the Yi community.CONCLUSION The first report of xanthomatosis in the Yi population in China lays a theoretical foundation for understanding Yi dietary patterns and treatment.展开更多
The renowned translator Yang Yi passed away in 2023.Many scholars argue that,influenced by their biological gender,female translators often employ translation methods in adherence to feminist translation or reflect ch...The renowned translator Yang Yi passed away in 2023.Many scholars argue that,influenced by their biological gender,female translators often employ translation methods in adherence to feminist translation or reflect characteristics typical of female translators.This study examines the translation of Wuthering Heights by Yang Yi,focusing on whether there is a definite influence of gender on translator behavior.While existing literature primarily analyzes Yang Yi’s work through a feminist lens,this research takes a broader approach.By considering the translator’s social background and translation practice,this paper challenges the assumption that her work strictly aligns with feminist translation theories.Instead,this study emphasizes the importance of considering diverse factors when interpreting translated works,moving beyond a singular gender-based standpoint.展开更多
Xu Chunfu was a famous medical expert in the Ming Dynasty, who authored the Gu Jin Yi Tong Da Quan and the Yi Xue Zhi Nan Jie Jing Liu Shu. This paper uses the Xu family genealogy, literature catalog, historical recor...Xu Chunfu was a famous medical expert in the Ming Dynasty, who authored the Gu Jin Yi Tong Da Quan and the Yi Xue Zhi Nan Jie Jing Liu Shu. This paper uses the Xu family genealogy, literature catalog, historical records to study the Xu family’s life and deeds. Xu Chunfu was born in the second year of the Jiajing reign of the Ming Dynasty (1523) and passed away in the 24th year of the Wanli reign of the Ming Dynasty (1596). He served as an official in the Tai Hospital for about 20 years. His work Gu Jin Yi Tong Da Quan was written around the 43rd year of the Jiajing reign of the Ming Dynasty (1556), with a lower limit of the fifth year of the Longqing reign of the Ming Dynasty (1571), and the initial engraving time was not earlier than the eighth year of the Wanli reign of the Ming Dynasty (1580). This paper corrects the shortcomings and errors in previous research, and provides a comprehensive and systematic examination of Xu Chunfu’s life and works.展开更多
基金The work was supported by the National Natural Science Foundation of China(61972062,62306060)the Basic Research Project of Liaoning Province(2023JH2/101300191)+1 种基金the Liaoning Doctoral Research Start-Up Fund Project(2023-BS-078)the Dalian Academy of Social Sciences(2023dlsky028).
文摘Aiming at the challenges associated with the absence of a labeled dataset for Yi characters and the complexity of Yi character detection and recognition,we present a deep learning-based approach for Yi character detection and recognition.In the detection stage,an improved Differentiable Binarization Network(DBNet)framework is introduced to detect Yi characters,in which the Omni-dimensional Dynamic Convolution(ODConv)is combined with the ResNet-18 feature extraction module to obtain multi-dimensional complementary features,thereby improving the accuracy of Yi character detection.Then,the feature pyramid network fusion module is used to further extract Yi character image features,improving target recognition at different scales.Further,the previously generated feature map is passed through a head network to produce two maps:a probability map and an adaptive threshold map of the same size as the original map.These maps are then subjected to a differentiable binarization process,resulting in an approximate binarization map.This map helps to identify the boundaries of the text boxes.Finally,the text detection box is generated after the post-processing stage.In the recognition stage,an improved lightweight MobileNetV3 framework is used to recognize the detect character regions,where the original Squeeze-and-Excitation(SE)block is replaced by the efficient Shuffle Attention(SA)that integrates spatial and channel attention,improving the accuracy of Yi characters recognition.Meanwhile,the use of depth separable convolution and reversible residual structure can reduce the number of parameters and computation of the model,so that the model can better understand the contextual information and improve the accuracy of text recognition.The experimental results illustrate that the proposed method achieves good results in detecting and recognizing Yi characters,with detection and recognition accuracy rates of 97.5%and 96.8%,respectively.And also,we have compared the detection and recognition algorithms proposed in this paper with other typical algorithms.In these comparisons,the proposed model achieves better detection and recognition results with a certain reliability.
文摘BACKGROUND Xanthomatosis,a metabolic disorder causing yellow growths(xanthomas),poses challenges in lipid metabolism.This case study introduces the first documented instance within China's Yi population,emphasizing the need to explore dietary habits and treatment strategies tailored to this specific community.CASE SUMMARY Xanthomatosis is a metabolic disorder where lipid metabolism goes awry,resulting in the development of yellowish growths called xanthomas.A male patient,47 years of age,from China's Yi population,who is obese,visited our dermatology clinic complaining of widespread,non-painful rashes that have been present for two weeks.The patient works as a chef and has a diet that frequently includes oily and greasy foods.This case represents the initial documentation of xanthomatosis within the Yi population in China,offering a theoretical foundation for understanding dietary patterns and treatment options specific to the Yi community.CONCLUSION The first report of xanthomatosis in the Yi population in China lays a theoretical foundation for understanding Yi dietary patterns and treatment.
文摘The renowned translator Yang Yi passed away in 2023.Many scholars argue that,influenced by their biological gender,female translators often employ translation methods in adherence to feminist translation or reflect characteristics typical of female translators.This study examines the translation of Wuthering Heights by Yang Yi,focusing on whether there is a definite influence of gender on translator behavior.While existing literature primarily analyzes Yang Yi’s work through a feminist lens,this research takes a broader approach.By considering the translator’s social background and translation practice,this paper challenges the assumption that her work strictly aligns with feminist translation theories.Instead,this study emphasizes the importance of considering diverse factors when interpreting translated works,moving beyond a singular gender-based standpoint.
基金the 2020 National Social Science Foundation Major Project(20&ZD222)Open Project of Key Laboratory of Xin’an Medical Education in 2022,“Research on the Active Utilization of Intangible Cultural Heritage Resources in the Gu Jin Yi Tong Da Quan"(2022xayx01)2022 Anhui Provincial Central Finance Traditional Chinese Medicine Special Fund“North Huatuo,South Xin’an”Inheritance and Innovation Project:Systematic Compilation and Audiovisual Protection Research of Xin’an Medical Traditional Medicine Intangible Cultural Heritage Project(2022BHTNXA02).
文摘Xu Chunfu was a famous medical expert in the Ming Dynasty, who authored the Gu Jin Yi Tong Da Quan and the Yi Xue Zhi Nan Jie Jing Liu Shu. This paper uses the Xu family genealogy, literature catalog, historical records to study the Xu family’s life and deeds. Xu Chunfu was born in the second year of the Jiajing reign of the Ming Dynasty (1523) and passed away in the 24th year of the Wanli reign of the Ming Dynasty (1596). He served as an official in the Tai Hospital for about 20 years. His work Gu Jin Yi Tong Da Quan was written around the 43rd year of the Jiajing reign of the Ming Dynasty (1556), with a lower limit of the fifth year of the Longqing reign of the Ming Dynasty (1571), and the initial engraving time was not earlier than the eighth year of the Wanli reign of the Ming Dynasty (1580). This paper corrects the shortcomings and errors in previous research, and provides a comprehensive and systematic examination of Xu Chunfu’s life and works.
