Results 41 to 50 of about 864,433 (124)

Accounting for Smoking in Forecasting Mortality and Life Expectancy [PDF]

open access: yesarXiv, 2019
Smoking is one of the main risk factors that has affected human mortality and life expectancy over the past century. Smoking accounts for a large part of the nonlinearities in the growth of life expectancy and of the geographic and sex differences in mortality.
arxiv  

“Chewing of tobacco laced areca-nuts” - is nothing but “Chewing of tiny-cancer-causing-bombs in the mouth” and one more tobacco Hiroshima and Nagasaki is in waiting

open access: yesTobacco Induced Diseases, 2018
Background and challenges to implementation In India, Sweetened Suparis (Arecanut Granules, spices) and Gutkhas (Arecanut Granules, Tobacco, spicy compounds) - packed in small pouches - are freely marketed- which causes Oral Cancer.
REGUNATHAN Venkatachalam Pillai
doaj   +1 more source

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection [PDF]

open access: yesarXiv, 2020
Industrial smoke emissions present a serious threat to natural ecosystems and human health. Prior works have shown that using computer vision techniques to identify smoke is a low cost and convenient method. However, industrial smoke detection is a challenging task because industrial emission particles are often decay rapidly outside the stacks or ...
arxiv  

Deep Smoke Segmentation [PDF]

open access: yesarXiv, 2018
Inspired by the recent success of fully convolutional networks (FCN) in semantic segmentation, we propose a deep smoke segmentation network to infer high quality segmentation masks from blurry smoke images. To overcome large variations in texture, color and shape of smoke appearance, we divide the proposed network into a coarse path and a fine path ...
arxiv  

Electronic cigarette use among adults in 14 countries: A cross-sectional study

open access: yesEClinicalMedicine, 2022
Summary: Background: The tobacco product landscape continues to change. No recent data for electronic cigarette (e-cigarette) use have been reported for multiple countries based on nationally representative surveys. We examined prevalence of e-cigarette
Liping Pan   +4 more
doaj  

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model [PDF]

open access: yesarXiv, 2018
Health risks from cigarette smoking -- the leading cause of preventable death in the United States -- can be substantially reduced by quitting. Although most smokers are motivated to quit, the majority of quit attempts fail. A number of studies have explored the role of self-reported symptoms, physiologic measurements, and environmental context on ...
arxiv  

Effect of E-cigarette Use and Social Network on Smoking Behavior Change: An agent-based model of E-cigarette and Cigarette Interaction [PDF]

open access: yesarXiv, 2019
Despite a general reduction in smoking in many areas of the developed world, it remains one of the biggest public health threats. As an alternative to tobacco, the use of electronic cigarettes (ECig) has been increased dramatically over the last decade. ECig use is hypothesized to impact smoking behavior through several pathways, not only as a means of
arxiv  

Characterization of Industrial Smoke Plumes from Remote Sensing Data [PDF]

open access: yesarXiv, 2020
The major driver of global warming has been identified as the anthropogenic release of greenhouse gas (GHG) emissions from industrial activities. The quantitative monitoring of these emissions is mandatory to fully understand their effect on the Earth's climate and to enforce emission regulations on a large scale.
arxiv  

E-cigarettes: scientific and political controversies

open access: yesTobacco Induced Diseases, 2018
Background and challenges to implementation The e-cigarette is touted as a disruptive technology that could make combustible cigarettes obsolete. The product, its science and politics though are controversial.
Yussuf Saloojee
doaj   +1 more source

Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management [PDF]

open access: yesarXiv, 2020
Prescribed burns are currently the most effective method of reducing the risk of widespread wildfires, but a largely missing component in forest management is knowing which fuels one can safely burn to minimize exposure to toxic smoke. Here we show how machine learning, such as spectral clustering and manifold learning, can provide interpretable ...
arxiv  

Home - About - Disclaimer - Privacy