The Effectiveness of the Smoking Cessation Programme for Smoker Prisoners Living with HIV/AIDS

Jalali, Farzad; Hashemi, Seyedeh Fatemeh; Babaei, Amir; Abbaspour, Hassan; Hasani, Alireza; Shakeri, Heshmat

doi:10.13189/ujph.2017.050303

Cited by 2 publications

(2 citation statements)

References 34 publications

(61 reference statements)

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“…Jalali [8] has compared various literatures which have been proposed to curtail energy consumption in the IoT devices and has proposed various fog computing techniques which can alleviate power consumption in various IoT devices. Various factors such as access network technologies; idle power consumption of IoT devices, application type, virtualization and network management which lead to higher power consumption has been discussed.…”

Section: Related Workmentioning

confidence: 99%

“…Now the computational burden of IoT devices has been offloaded to edge servers lying to the vicinity of the IoT devices and hence alleviating the energy conservation. As per the survey conducted by IEA based on 4E Agreement, the standby power consumption by the IoT devices and their respective edges globally is estimated to be 46 TWh by 2025 [8]. Thus recent researches are laying great emphasis on conserving this standby or idle power consumption by IoT devices by enhancing new technological developments.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent and Scalable IoT Edge-Cloud System

Manihar¹,

Bano²,

Patel³

et al. 2020

IJACSA

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Scalability is an utter compulsory for the success of the IoT's unprecedentedly growing network. The operational and financial bottlenecks allied with growth can be overwhelming for those peeping to integrate IoT solutions. As the IoT technology proceeds, so is the scale of operations desired to arrive at a wider target region. Breakdown may take place not because of device's ability to scale, but due to data scale. As more devices are being incorporated, more data/information will be amassed, stored, processed, and scrutinized. The volume of this collection simply cannot be managed from a single edge device by deploying vertical approach. When starting small, it's important to peep into the future and anticipate growth. Companies that can't adapt to unpredictable market changes will fold without the right IoT architecture in place. Therefore, a scalable IOT framework has been proposed in the paper, which will provide load balancing or scalability by deploying the provisions of horizontal scalability for the system. The framework will be utilizing SOM for the purpose of classifying applications (whether delay sensitive or delay insensitive), so that proper decisions can be made based on the incoming data (typically signals) and if edge gets over flooded with the data, then edge is scaled to instigate the other edge for computing additional requests. The proposed system is termed as intelligent because its algorithm empowers the edge to take decision and classify applications based on the type of requirement of the application.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent and Scalable IoT Edge-Cloud System

Manihar¹,

Bano²,

Patel³

et al. 2020

IJACSA

View full text Add to dashboard Cite

show abstract

Prevalence and Factors Influencing Smoking Behavior among Female Inmates in Malaysia

et al. 2023

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Background: Lately, smoking among adolescents is increasing despite various campaigns to address it being carried out. Previously, this habit was common among men, however, nowadays, smoking has become a habit for women as well. The purpose of this study was to determine the prevalence and its associated factors that influence smoking behavior among women inmates in Kelantan. Methods: A cross-sectional study was carried out among women inmates from Pengkalan Chepa Women’s Prison, Kota Bharu, Kelantan. A total of 274 respondents were needed to answer a self-administered questionnaire. The data were analyzed using Multiple Logistic Regression. Results: A total of 183 participants were smokers. Women who were single and divorced had a lower chance of being influenced to smoke compared to married women. Parents with smoking habits were more associated with children who smoked compared to parents who did not smoke. A participant with secondary level education had higher odds of smoking compared to a participant with primary level education. Smoking peers significantly influenced their friends and, therefore, peer practice was a main factor influencing smoking among women inmates. Conclusion: The prevalence of smoking among women inmates in Kelantan was found to be quite high. Religion (majority (90.5%) of women in the study were Muslims; it would be inappropriate to draw conclusion that religion is an influencing factor), marital status, parents’ practice, peer practice and education significantly influenced women inmates to smoke.

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The Effectiveness of the Smoking Cessation Programme for Smoker Prisoners Living with HIV/AIDS

Cited by 2 publications

References 34 publications

Intelligent and Scalable IoT Edge-Cloud System

Intelligent and Scalable IoT Edge-Cloud System

Prevalence and Factors Influencing Smoking Behavior among Female Inmates in Malaysia

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