INTRODUCTION Tobacco use is a leading cause of deaths and Disability Adjusted Life Years lost worldwide, particularly in South-East Asia. Health risks associated with exclusive use of one form of tobacco alone has a different health risk profile when compared to dual use. In order to tease out specific profiles of mutually exclusive categories of tobacco use, we carried out this analysis. MET...

Tonic γ-aminobutyric acid (GABA)A receptor-mediated signalling controls neuronal network excitability in the hippocampus. Although the extracellular concentration of GABA (e[GABA]) is critical in determining tonic conductances, knowledge onhow e[GABA] is regulated by different GABA transporters (GATs) in vivo is limited. Therefore, we studied the role of GATs in the regulation of hippocampal e[...

Background: Even though the number of research on tobacco in Vietnam has recently increased rapidly, there remains a lack of reporting on the pattern of quit smoking and its correlates. It is necessary to have scientific evidence on this issue to help the policy makers and the Public Health sector to have appropriate intervention program to enhance the smoke cessation smoke program and improve ...

OBJECTIVES Greece is one of the leading tobacco-producing countries in European Union, and every year over 19 000 Greeks die from tobacco-attributable diseases. The aim of the present study was to provide nationally representative estimates on current and secondhand smoking prevalence in Greece and their determinants. DESIGN Cross-sectional. SETTING Greece. PARTICIPANTS A total of 4359 in...

The recent advancements in graph neural networks (GNNs) have led to state-of-the-art performances various applications, including chemo-informatics, question-answering systems, and recommender systems. However, scaling up these methods huge graphs, such as social Web remains a challenge. In particular, the existing for accelerating GNNs either are not theoretically guaranteed terms of approxima...

Graph Neural Networks (GNNs) are deep learning methods which provide the current state of art performance in node classification tasks. GNNs often assume homophily – neighboring nodes having similar features and labels–, therefore may not be at their full potential when dealing with non-homophilic graphs. In this work, we focus on addressing limitation enable Attention (GAT), a commonly used va...