Graphs are data structures that effectively represent relational data in the real world.Graph representation learning is a significant task since it could facilitate various downstream tasks, such as node classification, link prediction, etc.Graph representation learning aims to map graph entities to low-dimensional vectors while preserving graph s
This article explores the editorial board composition Place Mat (across the six continents) of Hindawi journals indexed in PubMed.The dataset used is the official affiliation of the board members available at the various webpages of Hindawi journal website and not the countries of origin of the editorial board members.Summary statistics were presen
Many cells in the nephron release extracellular vesicles (EVs).EVs envelop nucleic acids, proteins, and lipids.The surfaces of EVs express donor cell-specific markers, ligands, and major histocompatibility complex molecules.They are involved in cell-to-cell communication, immune modulation, and the removal of unwanted BOOTS materials from cells.EVs
Tongchuan City, located in Shaanxi Province, northwest China, has limited groundwater resources.Rational planning and exploitation of groundwater are crucial to the sustainable development of the city, for which investigating the distribution of groundwater is the premise.Traditional resistivity sounding methods are often used to detect groundwater
Abstract This paper aims to identify the most used urban mobility metrics by means of a bibliometric analysis.Therefore, a qualitative and quantitative study was carried out from a selection of 49 articles, between 1989 and 2016.Scopus and Web of Science were used as databases.The performed study verified the predominance of Cooking papers focused