Titlebook: Knowledge Science, Engineering and Management; 13th International C Gang Li,Heng Tao Shen,Xiang Zhao Conference proceedings 2020 Springer N

STERN

Tao Sun,Jiaojiao Zhai,Qi Wangchnology Abstracts; MedicLatina; MEDLINE with full text; Psychology and Behavioral Sciences Collection; Regional Business News; SPORTDiscus with full text, using the PICO method. Results: A total of 37 indicators sensitive to RN care are identified, with the outcome dimension producing the greatest

惹人反感

Chao Liu,Xiangmei Ma,Min Yu,Xinghua Wu,Mingqi Liu,Jianguo Jiang,Weiqing Huangcademic Search Complete, Business Source Complete, CINAHL Plus with Full Text, ERIC, Library, Information Science & Technology Abstracts, MedicLatina, MEDLINE with Full Text, Psychology and Behavioral Sciences Collection, Regional Business News, SPORTDiscus with Full Text], with the following descri

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Jingxiang Hu,Junjie Peng,Wenqiang Zhang,Lizhe Qi,Miao Hu,Huanxiang Zhangg to the International Classification of Functioning, Disability and Health and by the WHOQOL-BREF instrument. Structural equation modeling was the statistical methodology adopted. .: The developed model presents favorable factorial validity and reliability, which allows to infer about the existence

欺騙手段

Qing Zhou,Jiang Li,Yinchun Tang,Liang Gecademic Search Complete, Business Source Complete, CINAHL Plus with Full Text, ERIC, Library, Information Science & Technology Abstracts, MedicLatina, MEDLINE with Full Text, Psychology and Behavioral Sciences Collection, Regional Business News, SPORTDiscus with Full Text], with the following descri

Trochlea

凹室

Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Modelsmodels to the open world. We have applied OWE-MRC to extend common KGC models, such as ComplEx and Graph Neural Networks (GNNs) based models, to perform open-world link prediction. Our experiments on two datasets FB20k and DBPedia50k indicate that (1) the MRC model can effectively extract meaningful

palliate

桶去微染

Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detectionrating connecting paths between the entities . and .. The three detection results are then combined to provide a trustworthiness score for decision making. Comprehensive experiments on real-life datasets demonstrate that our proposed model . is able to offer better performance over its state-of-the-

rheumatology

A Contextualized Entity Representation for Knowledge Graph Completione contextual representations of an entity by considering the forward and backward contexts of relations which helps to capture the different senses of an entity when appearing at different positions of a relation or in different relations. Our approach is capable to model three major relational patt

PIZZA