Search results

In Chapter 3, the author will problematise the youth smoking epidemic within SEA, in order to justify why the regional impacts of the tobacco trade on youths are worrisome. The author will present the major youth smoking trends in SEA, for the purpose of illustrating how the presence of tobacco products has adversely affected regional youths to a concerning degree. The author, next, will highlight the causes of the youth smoking epidemic, namely susceptibility and positive advertising. The author follows by emphasising the national and regional costs of youth smoking, by arguing how such a lifestyle results in negative consequences in relation to the delinquency itself. Lastly, the author will recommend policies for tobacco control that SEA governments should consider to contain the epidemic of youth smoking. It is noteworthy that all SEA governments have some degree of tobacco control policies in place. However, many lack the implementation of comprehensive national tobacco control strategic plans and tightened law enforcement endeavours to specifically target the problem of youth smoking. Therefore, the outputs of this chapter should contain scholarly values that are conducive to the betterment of policy-making.

Fire smoke detection in petrochemical plant can prevent fire and ensure production safety and life safety. The purpose of this paper is to solve the problem of missed detection and false detection in flame smoke detection under complex factory background.

This paper presents a flame smoke detection algorithm based on YOLOv5. The target regression loss function (CIoU) is used to improve the missed detection and false detection in target detection and improve the model detection performance. The improved activation function avoids gradient disappearance to maintain high real-time performance of the algorithm. Data enhancement technology is used to enhance the ability of the network to extract features and improve the accuracy of the model for small target detection.

Based on the actual situation of flame smoke, the loss function and activation function of YOLOv5 model are improved. Based on the improved YOLOv5 model, a flame smoke detection algorithm with generalization performance is established. The improved model is compared with SSD and YOLOv4-tiny. The accuracy of the improved YOLOv5 model can reach 99.5%, which achieves a more accurate detection effect on flame smoke. The improved network model is superior to the existing methods in running time and accuracy.

Aiming at the actual particularity of flame smoke detection, an improved flame smoke detection network model based on YOLOv5 is established. The purpose of optimizing the model is achieved by improving the loss function, and the activation function with stronger nonlinear ability is combined to avoid over-fitting of the network. This method is helpful to improve the problems of missed detection and false detection in flame smoke detection and can be further extended to pedestrian target detection and vehicle running recognition.

Smoking rates are known to be higher amongst those committed to prison than the general population. Those in prison suffer from high rates of comorbidities that are likely to increase their risk of cardiovascular disease (CVD), making it more difficult to manage. In 2016, a tobacco ban began to be implemented across prisons in England and Wales, UK. This study aims to measure the effect of the tobacco ban on predicted cardiovascular risk for those quitting smoking on admission to prison.

Using data from a prevalence study of CVD in prisons, the authors have assessed the effect of the tobacco ban on cardiovascular risk, using predicted age to CVD event, ten-year CVD risk and heart age, for those who previously smoked and gave up on admission to prison.

The results demonstrate measurable health gains across all age groups with the greatest gains found in those aged 50 years and older and who had been heavy smokers. Quitting smoking on admission to prison led to a reduced heart age of between two and seven years for all participants.

The data supports tobacco bans in prisons as a public health measure to reduce risk of CVD. Interventions are needed to encourage maintenance of smoking cessation on release from prison for the full health benefits to be realised.

The overall objective of this research is to “explore whether shock advertising has a long-lasting positive effect on the smoking cessation among smoking Jordanians in a country where smoking is a deep-rooted social norm.”

This research is an exploratory qualitative research. A purposeful sampling technique was used to select participants from a mall intercept and randomly divided into groups of seven. Each group was interviewed in two different focus group sessions (four weeks apart). All focus groups were audio-recorded, transcribed and analyzed using thematic analysis.

A total of 41 participants took part in the focus group session. Most participants were smokers or second-hand smokers. “Three overarching themes were generated from the focus groups: previous anti-smoking campaign experience, shock advertising (SA) impact and drawbacks of SA. All participants reported that they have never been exposed to shocking adverts, and the shock appeal has never been applied in any of the anti-smoking or health awareness campaigns in Jordan. This research revealed that incorporating images of children with a mixture of emotional and fear appeals is effective in targeting Jordanian parents' negative consumptive behaviors, which may harm other individuals, especially children. Moreover, most participants commented that the effects of shock adverts would be very short term and would not likely change behaviors”.

This research contributes both “theoretically and practically to the value and effectiveness of shock advertising. This research area is overlooked in MENA countries, particularly Jordan”.

This study aims to investigate the effect of smoking on the income of workers in the Brazilian labor market.

Using data from the 2019 National Health Survey (PNS), we initially address the sample selection bias concerning labor market participation by using the Heckman (1979) method. Subsequently, the decomposition of income between smokers and nonsmokers is analyzed, both on average and across the earnings distribution by employing the procedure of Firpo, Fortin, and Lemieux (2009) - FFL decomposition. Ñopo (2008) technique is also used to obtain more robust estimates.

Overall, the findings indicate an income penalty for smokers in the Brazilian labor market across both the average and all quantiles of the income distribution. Notably, the most significant differentials and income penalties against smokers are observed in the lower quantiles of the distribution. Conversely, in the higher quantiles, there is a tendency toward a smaller magnitude of this gap, with limited evidence of an income penalty associated with this habit.

This study presents an important limitation, which refers to a restriction of the PNS (2019), which does not provide information about some subjective factors that also tend to influence the levels of labor income, such as the level of effort and specific ability of each worker, whether smokers or not, something that could also, in some way, be related to some latent individual predisposition that would influence the choice of smoking.

The relevance of the present study is clear in identifying the heterogeneity of the income gap in favor of nonsmokers, as in the lower quantiles there was a greater magnitude of differentials against smokers and a greater incidence of unexplained penalties in the income of these workers, while in the higher quantiles, there was low magnitude of the differentials and little evidence that there is a penalty in earnings since the worker is a smoker.

This study aims to demonstrate the evaluation of an incentive scheme to encourage pregnant people to set a quit-smoking date.

The paper outlines a collaborative approach, working with pregnant people, clinicians, tobacco dependency practitioners and academics to gain insights into their perspectives and experiences. Quantitative and qualitative data were analysed.

The incentive scheme and appropriate support from clinicians have been shown to encourage pregnant people to set a quit date. The tobacco dependency practitioners helped remove barriers, such as the perception of the stigmatisation of smoking when pregnant. The practitioners also helped pregnant people make informed decisions to support successful behaviour change. The impact of the scheme resulted in improved infant health indicators. The scheme’s evaluation also supported establishing stakeholder knowledge exchange and learning processes.

This is a single-site study among a relatively small group of people designed to achieve a specific evaluation objective. Caution in generalising to wider settings should be exercised.

This study highlights the efficacy of an incentive scheme, complemented with support from clinicians, and the significance of knowledge exchange and collaboration between stakeholders in health care with significance in similar settings.

The paper details the incentive scheme input, actions, output, outcomes and impact involving a wider range of stakeholders, including the emotional consequences for participants, clinicians and academics.

This chapter explores a common, but typically overlooked urban practice: smoking outside the workplace. This activity is analysed as an attempt to create marginal spaces of brief retreat from the acceleration and agitation of the workplace. By talking to smokers about what drives them into the street, and capturing smokers photographically, we discover that these people are seeking moments of breakaway from the dominating involvement of the commercial city. The practices we observe in this chapter are typical of what Erving Goffman refers to as ‘away’ activities: strategies for briefly escaping from the absorption of all-consuming social situations. We conclude by asking whether these urban pauses could be stretched to a point where they challenge the compulsion of the overwrought rhythmic order of the capitalist city.

This study examined the relationship between adult respondents' COVID-19 risk perception and its impact on changes in eating habits, physical activity, alcohol consumption, and smoking.

A cross-sectional online questionnaire was used to collect data during the first wave of the pandemic, in the European spring and summer of 2020. Kruskal–Wallis and Pearson chi-squared tests were used to determine the associations between the consumers' COVID-19 risk perception and the respondents' country of origin. The respondents were primarily university employees and students from four European countries (the Czech Republic, France, the United Kingdom, and Italy).

The study showed significant changes in lifestyle behaviours of the respondents during the COVID-19 pandemic compared with the pre-outbreak period. Approximately half of all respondents reported a decrease in alcohol consumption, smoking, and physical activity, while eating habits among European consumers showed trends towards both healthier and less healthy dietary patterns. The most significant changes were recorded in reducing alcohol consumption, smoking, and physical activity among almost half of the respondents. Positive COVID-19 test experience, age, and country of the respondents had a negative influence, whereas healthy food consumption and alcohol consumption had a positive influence on the COVID-19 related risk perception.

The fear of the COVID-19 outbreak together with the restrictions imposed by national governments in response to the pandemic fundamentally affected the respondents' lifestyles. Understanding these changes can help establish interventions to alleviate the adoption of negative lifestyles and attitudes in subsequent waves of the COVID-19 pandemic or other similar situations.

Investigation of the smoking model is important as it has a direct effect on human health. This paper focuses on the numerical analysis of the fractional order giving up smoking model. Nonetheless, due to observational or experimental errors, or any other circumstance, it may contain some incomplete information. Fuzzy sets can be used to deal with uncertainty. Yet, there may be some inconsistency in the membership as well. As a result, the primary goal of this proposed work is to numerically solve the model in a type-2 fuzzy environment.

Triangular perfect quasi type-2 fuzzy numbers (TPQT2FNs) are used to deal with the uncertainty in the model. In this work, concepts of r2-cut at r1-plane are used to model the problem's uncertain parameter. The Legendre wavelet method (LWM) is then utilised to solve the giving up smoking model in a type-2 fuzzy environment.

LWM has been effectively employed in conjunction with the r2-cut at r1-plane notion of type-2 fuzzy sets to solve the model. The LWM has the advantage of converting the non-linear fractional order model into a set of non-linear algebraic equations. LWM scheme solutions are found to be well agreed with RK4 scheme solutions. The existence and uniqueness of the model's solution have also been demonstrated.

To deal with the uncertainty, type-2 fuzzy numbers are used. The use of LWM in a type-2 fuzzy uncertain environment to achieve the model's required solutions is quite fascinating, and this is the key focus of this work.

In this paper the aim is that Aramid/alginate blended nonwoven fabrics were prepared, and the flame retardancy of the blended nonwoven fabrics was studied by thermogravimetric analysis, vertical flame test, limiting oxygen index (LOI) and cone calorimeter test.

The advantages of different fibers can be combined by blending, and the defects may be remedied. The study investigates whether incorporating alginate fibers into aramid fibers can enhance the flame retardancy and reduce the smoke production of prepared aramid/alginate blended nonwoven fabrics.

Thermogravimetric analysis indicated that alginate fibers could effectively inhibit the combustion performance of aramid fibers at a higher temperature zone, leaving more residual chars for heat isolation. And vertical flame test, LOI and cone calorimeter test testified that the incorporation of alginate fibers improved the flame retardancy and fire behaviors. When the ratio of alginate fibers for aramid/alginate blended nonwoven fabrics reached 80%, the incorporation of alginate fibers could notably decreased peak-heat release rate (54%), total heat release (THR) (29%), peak-smoke production rate (93%) and total smoke production (86%). What is more, the lower smoke production rate and lower THR of the blends vastly reduced the risk of secondary injury in fires.

This study proposes to inhibit the flue gas release of aramid fiber and enhance the flame retardant by mixing with alginate fiber, and proposes that alginate fiber can be used as a biological smoke inhibitor, as well as a flame retardant for aramid fiber.