Trigger action reaction model in high performance computing for impact analysis due to Artificial Energy Drinks

C. Subramaniam, R. V. Selvakarthik, M. Karthikeyan, K. Abinesh Kumar, P. Giridhara Madhavan
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Abstract

The objective of the research work is to propose a trigger-action-reaction (TAR) based impact analysis model with the outcome due to Artificial Energy Drinks (AED) on Indian youth. The AED causes a drastic behavioural changes leading to potential health risks in India and the studies suggest that young people or college students are therefore vulnerable to increased problems from ingesting these products. The young community is more likely to take risks than adults and to suffer high rates of alcohol problems, including alcohol-related traffic accidents, violence, sexual assault, and suicide as per the studies. The reaction induces faster metabolism in youth by AEDs resulting to uncontrollable emotional outbursts leading to different health and legal problems. A parallel action reaction based impact analysis with number of AEDs sold out in India that results in criminal activities due to massive consumption of AEDs by the society. A formal model of trigger-action-reaction is applied and validated by multi-core programming using CUDA.
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人工能量饮料影响分析的高性能计算触发反应模型
研究工作的目的是提出一个基于触发-作用-反应(TAR)的影响分析模型,分析人工能量饮料(AED)对印度年轻人的影响。在印度,AED会引起剧烈的行为变化,导致潜在的健康风险,研究表明,年轻人或大学生因此容易因摄入这些产品而出现更多问题。根据研究,年轻人比成年人更有可能冒险,并且遭受酒精问题的高发,包括与酒精有关的交通事故、暴力、性侵犯和自杀。AEDs的反应导致年轻人新陈代谢加快,导致无法控制的情绪爆发,导致各种健康和法律问题。一项基于平行行动反应的影响分析,分析了印度aed售罄的数量,由于社会大量消费aed而导致犯罪活动。应用了正式的触发-作用-反应模型,并通过CUDA多核编程进行了验证。
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