Graph Convolutional Network (GCN) has achieved extraordinary success in learning effective task-specific representations of nodes graphs. However, regarding Heterogeneous Information (HIN), existing HIN-oriented GCN methods still suffer from two deficiencies: (1) they cannot flexibly explore all possible meta-paths and extract the most useful ones for a target object, which hinders both effecti...

Infective endocarditis (IE) is a important heart disease with high morbidity and mortality. Current guidelines suggest antibiotic prohylaxis (AP) to individuals having risk of IE. These include patients background IE, biological or mechanical prosthetic valve, surgically constructed systemic pulmonary conduit shunt. The restriction AP due concerns about increased comprehension regarding daily i...

Abstract This article proposes a new approach to estimate the informal economy (IE) by using Structural Equation Modeling (SEM). Using Monte Carlo Simulation and empirical analysis of Italian IE as an example, we provide general conclusions on reliability limitations SEM IE. Practical guidelines how apply this method way deal with most problematic issues are provided. We conclude that may be ef...

Due to the ever growing amount of publications, Information Extraction (IE) from text is increasingly is recognized as one of crucial technologies in bioinformatics. However, for IE to be practically applicable, adaptability/portability of a system is crucial, considering extremely diverse demands in biomedical IE application. We should be able to construct a set of “extraction rules” adapted f...

OBJECTIVE To describe the geographic and temporal trends in cosmetic facial plastic surgery procedure costs and frequency during the last decade and to evaluate factors that may influence changes in the demand for cosmetic procedures. METHODS A survey sent to every (N = 1727) active fellow, member, or associate of the American Academy of Facial Plastic and Reconstructive Surgery assessing the...