Alcoholism is a complex disease, which has been misunderstood and stigmatized. According to the American medical association "Alcoholism" is an illness characterized by significant impairment that is directly associated with persistent and excessive use of alcohol. Impairment may involve physiological, psychological or social dysfunction. The two major types of alcohol use disorders are alcohol abuse (problem drinking) and alcohol dependence (alcoholism).Alcohol abuse is an unhealthy pattern of excessive drinking that can lead to alcohol dependence. People who abuse alcohol drink too much or too frequently, but they are not yet physically addicted to alcohol. Nowadays alcohol consumption has become a status symbol and mostly youngsters use it for fun which in turn becomes addiction. The main aim of the study is to analyze the alcohol use among college students studying at Bharathidasan University Constituent College, Perambalur. The researcher has adopted simple random sampling method to select the sample of boy students. The sample size is 61. The researcher has used descriptive research design for the study. The major findings of the study revealed that majority of the respondents have the habit of drinking alcohol and less than half of the respondents (41%) feel guilt and remorse for the same.

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Internet of Things (IoT) consists of smart devices which can sense the environment and performs the data interaction with the users by handling the large volume of data and also provide the numerous services to the users. It also plays the significant role in Intelligent Transportation System (ITS) using the Cognition ability. One of the primary causes for the road accidents is consumption of alcohol. Driving under the influence (DUI) or Driving While Intoxicated (DWI), and involves operating a vehicle with Blood Alcohol Content (BAC) level of at least 0.08 percent is considered as the punishable offense. In order to identify and prevent the driving with alcohol consumption, the ITS system can be designed with IoT based smart helmet system. The IoT system performs the data validation using the Bayesian Algorithm which significantly detects the alcohol consumption of the rider. And the system also provides the provision to control and ride the bike if and only if the rider does not consume the alcohol.

Well-being is a state of feeling healthy and happy and it includes various domains such as physical, social, psychological, economic, spiritual etc. Psychological well-being (PWB) is the combination of feeling good and functioning effectively and it is an ultimate requirement for all age groups. Psychological well-being does not require individuals to feel good all the time but will also help a person to face painful emotions like disappointment, failure, grief etc and it is a normal part of life. When a person is able to manage these negative or painful emotions, he will be in a position to face the life positively in all aspects. PWB incorporates not only the positive emotions of happiness and contentment, but also such emotions as interest, engagement, confidence, and affection (Huppert, 2009). Psychological wellbeing at old age not only improves the health but also makes a person to have some control over his life, sense of purpose and experience positive relationships. Thus, the researcher has planned to study the psychological well-being of the older persons residing in rural and urban areas of Perambalur district. Descriptive design was used and 100 respondents were selected using simple random sampling method for this study. A standardized tool on PSW developed by Caron Ryff was used and the major findings of the study revealed that more than half of the respondents (51%) had high autonomy, moderate level of environmental mastery, purpose in life and positive relation, and nearly majority of them (59%) had moderate level of psychological well-being.

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