Background: One of the most important measures for ascertaining the impact of tobacco on a population is the estimation of the mortality attributable to its use. To measure this, a number of indirect methods of quantification are available, yet there is no consensus as to which furnishes the best information. This study sought to provide a critical overview of the different methods of attribution of mortality due to tobacco consumption.

Objective: Exposure to environmental tobacco smoke (ETS) is associated with a variety of health effects, including lung cancer and ischaemic heart disease. The objective of this study was to estimate the number of deaths caused by exposure to ETS among non-smokers in Spain during the year 2002 Methods: Prevalence of ETS exposure among never smokers was gathered from three region based health interview surveys. The relative risks of lung cancer and ichaemic heart diseases were selected from three meta-analyses. Population attributable risk (PAR) was computed using a range of prevalences (minimummaximum). The number of deaths attributable to ETS was calculated by applying PARs to mortality not attributable to active smoking in 2002. The analyses were stratified by sex, age and source of exposure (home, workplace and both combined). In addition, a sensitivity analysis was performed for different scenarios. Results: Among men, deaths attributable to ETS ranged from 408 to 1703. From 247 to 1434 of these deaths would be caused by the exposure only at home, 136-196 by exposure only in the workplace and 25-73 by exposure at both home and the workplace. Among women, the number of attributable deaths ranged from 820 to 1534. Between 807 and 1477 of these deaths would be caused by exposure only at home, 9-32 by exposure only in the workplace and 4-25 by exposure both at home and in the workplace. Conclusion: Exposure to ETS at home and at work in Spain could be responsible for 1228-3237 of deaths from lung cancer and ischaemic heart disease. These data confirm that passive smoking is an important public health problem in Spain that needs urgent attention.

SHS exposure in hospitality venues dramatically decreased after the 2011 Spanish smoking ban. SHS from outdoor smokers close to entrances seems to drift inside venues. Smoking control legislation should consider outdoor restrictions to ensure complete protection against SHS.

The variability in the indicators and items used to ascertain SHS exposure is very high, whereas the use of items derived from validated studies remains low. Identifying the diverse settings where SHS exposure may occur is essential to accurately assess exposure over time. A standard set of items to identify SHS exposure in distinct settings is needed.

No abstract

No abstract

No abstract

Speech Emotion Recognition (SER) plays an important role in human-computer interface and assistant technologies. In this paper, a new method is proposed using distributed Convolution Neural Networks (CNN) to automatically learn affect-salient features from raw spectral information, and then applying Bidirectional Recurrent Neural Network (BRNN) to obtain the temporal information from the output of CNN. In the end, an Attention Mechanism is implemented on the output sequence of the BRNN to focus on target emotion-pertinent parts of an utterance. This attention mechanism not only improves the classification accuracy, but also provides model's interpretability. Experimental results show that this approach can gain 64.08% weighted accuracy and 56.41% unweighted accuracy for four-emotion classification in IEMOCAP dataset, which outperform previous results reported for this dataset.