Nowadays,the internal structure of spacecraft has been increasingly complex.As its“lifeline”,cables require extensive manpower and resources for manual testing,and it is challenging to quickly and accurately locate ...Nowadays,the internal structure of spacecraft has been increasingly complex.As its“lifeline”,cables require extensive manpower and resources for manual testing,and it is challenging to quickly and accurately locate quality problems and find solutions.To address this problem,a knowledge graph based method is employed to extract multi-source heterogeneous cable knowledge entities.The method utilizes the bidirectional encoder representations from transformers(BERT)network to embed word vectors into the input text,then extracts the contextual features of the input sequence through the bidirectional long short-term memory(BiLSTM)network,and finally inputs them into the conditional random field(CRF)network to predict entity categories.Simultaneously,by using the entities extracted by this model as the data layer,a knowledge graph based method has been constructed.Compared to other traditional extraction methods,the entity extraction method used in this study demonstrates significant improvements in metrics such as precision,recall and an F1 score.Ultimately,employing cable test data from a particular aerospace precision machining company,the study has constructed the knowledge graph based method in the field to achieve visualized queries and the traceability and localization of quality problems.展开更多
Diabetic nephropathy(DN)is currently the most common complication of diabetes.It is considered to be one of the leading causes of end-stage renal disease(ESRD)and affects many diabetic patients.The pathogenesis of DN ...Diabetic nephropathy(DN)is currently the most common complication of diabetes.It is considered to be one of the leading causes of end-stage renal disease(ESRD)and affects many diabetic patients.The pathogenesis of DN is extremely complex and has not yet been clarified;however,in recent years,increasing evidence has shown the important role of innate immunity in DN pathogenesis.Pattern recognition receptors(PRRs)are important components of the innate immune system and have a significant impact on the occurrence and development of DN.In this review,we classify PRRs into secretory,endocytic,and signal transduction PRRs according to the relationship between the PRRs and subcellular compartments.PRRs can recognize related pathogen-associated molecular patterns(PAMPs)and danger-associated molecular patterns(DAMPs),thus triggering a series of inflammatory responses,promoting renal fibrosis,and finally causing renal impairment.In this review,we describe the proposed role of each type of PRRs in the development and progression of DN.展开更多
文摘Nowadays,the internal structure of spacecraft has been increasingly complex.As its“lifeline”,cables require extensive manpower and resources for manual testing,and it is challenging to quickly and accurately locate quality problems and find solutions.To address this problem,a knowledge graph based method is employed to extract multi-source heterogeneous cable knowledge entities.The method utilizes the bidirectional encoder representations from transformers(BERT)network to embed word vectors into the input text,then extracts the contextual features of the input sequence through the bidirectional long short-term memory(BiLSTM)network,and finally inputs them into the conditional random field(CRF)network to predict entity categories.Simultaneously,by using the entities extracted by this model as the data layer,a knowledge graph based method has been constructed.Compared to other traditional extraction methods,the entity extraction method used in this study demonstrates significant improvements in metrics such as precision,recall and an F1 score.Ultimately,employing cable test data from a particular aerospace precision machining company,the study has constructed the knowledge graph based method in the field to achieve visualized queries and the traceability and localization of quality problems.
基金Project supported by the National Natural Science Foundation of China(Nos.81060063 and 81660129).
文摘Diabetic nephropathy(DN)is currently the most common complication of diabetes.It is considered to be one of the leading causes of end-stage renal disease(ESRD)and affects many diabetic patients.The pathogenesis of DN is extremely complex and has not yet been clarified;however,in recent years,increasing evidence has shown the important role of innate immunity in DN pathogenesis.Pattern recognition receptors(PRRs)are important components of the innate immune system and have a significant impact on the occurrence and development of DN.In this review,we classify PRRs into secretory,endocytic,and signal transduction PRRs according to the relationship between the PRRs and subcellular compartments.PRRs can recognize related pathogen-associated molecular patterns(PAMPs)and danger-associated molecular patterns(DAMPs),thus triggering a series of inflammatory responses,promoting renal fibrosis,and finally causing renal impairment.In this review,we describe the proposed role of each type of PRRs in the development and progression of DN.
