目的:探讨前后语言区经颅直流电刺激(transcranial direct current stimulation,tDCS)对左侧额颞或额颞顶脑卒中后失语症患者图命名的疗效,以及两个脑区tDCS治疗效果是否有差异。方法:对左侧额颞或额颞顶脑卒中后4周—6个月的失语症患...目的:探讨前后语言区经颅直流电刺激(transcranial direct current stimulation,tDCS)对左侧额颞或额颞顶脑卒中后失语症患者图命名的疗效,以及两个脑区tDCS治疗效果是否有差异。方法:对左侧额颞或额颞顶脑卒中后4周—6个月的失语症患者20例,随机分为前语言区(Broca区)tDCS组和后语言区(Wernicke区)tDCS组各10例。Broca区组阳极tDCS放置于左侧Broca区,Wernicke区组阳极tDCS放置于左侧Wernicke区。采用A-B和B-C-A设计,A期为tDCS假刺激+语言治疗;B期为tDCS+语言治疗;C期为洗脱期1周。所有患者随机进入A-B或B-C-A期治疗。每个治疗期5天,每天2次。结果:Wernicke区tDCS不但能提高治疗项,也能够提高非治疗项图命名成绩(P<0.05);Broca区tDCS对图命名有改善,但未达到显著水平(P<0.08)。结论:Wernicke区tDCS能更显著地改善脑卒中后额颞损伤失语症患者的图命名能力,其原因可能是后部语言区刺激涉及了Wernicke区及其邻近的语言相关脑区有关。展开更多
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
文摘目的:探讨前后语言区经颅直流电刺激(transcranial direct current stimulation,tDCS)对左侧额颞或额颞顶脑卒中后失语症患者图命名的疗效,以及两个脑区tDCS治疗效果是否有差异。方法:对左侧额颞或额颞顶脑卒中后4周—6个月的失语症患者20例,随机分为前语言区(Broca区)tDCS组和后语言区(Wernicke区)tDCS组各10例。Broca区组阳极tDCS放置于左侧Broca区,Wernicke区组阳极tDCS放置于左侧Wernicke区。采用A-B和B-C-A设计,A期为tDCS假刺激+语言治疗;B期为tDCS+语言治疗;C期为洗脱期1周。所有患者随机进入A-B或B-C-A期治疗。每个治疗期5天,每天2次。结果:Wernicke区tDCS不但能提高治疗项,也能够提高非治疗项图命名成绩(P<0.05);Broca区tDCS对图命名有改善,但未达到显著水平(P<0.08)。结论:Wernicke区tDCS能更显著地改善脑卒中后额颞损伤失语症患者的图命名能力,其原因可能是后部语言区刺激涉及了Wernicke区及其邻近的语言相关脑区有关。
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.
