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Vikas,
- Relationship between Body Mass Index and Anger among Graduate Students
Abstract Views :561 |
PDF Views:0
Authors
Affiliations
1 Central Institute of Psychiatry Ranchi, IN
2 Department of Psychology M. D. University, Rohtak, IN
3 Ranchi Institute of Neuro-Psychiatry and Allied Sciences, Ranchi, IN
1 Central Institute of Psychiatry Ranchi, IN
2 Department of Psychology M. D. University, Rohtak, IN
3 Ranchi Institute of Neuro-Psychiatry and Allied Sciences, Ranchi, IN
Source
Indian Journal of Health and Wellbeing, Vol 5, No 6 (2014), Pagination: 723-725Abstract
Previous studies indicate that BMI is significantly related in 'some way' to hostility and anger expression. However all the studies have been conducted on adolescent boys and girls. But our study is a first attempt with the aim to see the relationship between BMI and anger among graduate students. In the present study, samples of 100 graduate students were selected from Maharshi Dayanand University, Rohtak (Haryana) on the basis of availability. The age range of sample was 19 to 25 years with a mean of 21.67 years. The sample was collected by using purposive sampling method. The analysis included one way ANOVA, Bonferroni post hoc test and Pearson product moment method. Results show that there was significant difference on trait anger and anger expression (p < 0.05&p < 0.01) among overweight, underweight and average BMI subjects based on Body Mass Index (BMI). On post hoc analysis it was observed that on trait anger and anger expression overweight subjects had more score than under-weights and Body Mass Index (BMI) was significantly positively (p < 0.05) correlated with anger expression. Thus it can be concluded that BMI has positive relationship with anger expression that in turn can help in assuming the ways for maintenance of positive mental health.Keywords
No Keywords- Reduced Craving and Change in Locus of Control as a Result of Motivational Enhancement Therapy in Patients with Alcohol Dependence Syndrome
Abstract Views :297 |
PDF Views:0
Authors
Affiliations
1 Central Institute of Psychiatry, Ranchi, Jharkhand, IN
2 Department of Psychiatry, Central Institute of Psychiatry, Kanke, Ranchi, IN
3 Department of Psychology, Ranchi University, Ranchi, IN
1 Central Institute of Psychiatry, Ranchi, Jharkhand, IN
2 Department of Psychiatry, Central Institute of Psychiatry, Kanke, Ranchi, IN
3 Department of Psychology, Ranchi University, Ranchi, IN
Source
Indian Journal of Health and Wellbeing, Vol 5, No 9 (2014), Pagination: 1000-1003Abstract
Alcohol and drug dependence disorder is characterized by a chronic course with frequent relapses. Various psychosocial and physiological factors have been identified which predict relapse in alcohol dependence Craving and locus of control can be prominent factors of relapse in patients with alcohol dependence. In this study, sample consisted of 30 patients with the diagnosis of mental and behavior disorders due to use of alcohol, currently using the substance (active dependence) and fulfilling the inclusion and exclusion criterion. This was a hospital based prospective intervention study of pre-post design. All the patients received Motivational Enhancement Therapy for 3 weeks and assessed on craving and locus of control before and after MET. The analysis included descriptive statistics and paired t test. Results show that there was significant difference in all the domain of craving and locus of control (p < 0.001). After Motivational Enhancement Therapy patients showed reduced craving and started to attribute their drinking behavior internally. Thus, it can be concluded that Motivational Enhancement Therapy had significant role maintaining abstinence in patients with alcohol dependence.Keywords
Reduced Craving, Locus of Control, Motivational Enhancement Therapy.- Personality Characteristics, Adjustment and Coping between Drug Addicts and Non-Addicts:A Psychosocial Perspective
Abstract Views :315 |
PDF Views:1
Authors
Gagandeep Kaur
1,
Vikas
2
Affiliations
1 Government Medical College & Hospital, Sector- 32B, Chandigarh, IN
2 Mental Health Care Centre, Sector-14, Faridabad, IN
1 Government Medical College & Hospital, Sector- 32B, Chandigarh, IN
2 Mental Health Care Centre, Sector-14, Faridabad, IN
Source
Indian Journal of Health and Wellbeing, Vol 7, No 3 (2016), Pagination: 337-341Abstract
Drug addiction is not an accidental process. Individual factors plays a pivotal role in dependence i.e., who will and who will not become addicted. It is found that even in highly prevalent areas there are individuals who are exposed to drug use, and with the help of will, strength of character or force of personality reject all contact with narcotic drugs. Personality factors, ones individual mechanism and family factors i.e. adjustment are determinants in the use of substance. Thus a need was felt to enhance the body of knowledge regarding personality characteristics, adjustment and coping processes in person with substance addicts. And our study is a first attempt with the aim to study the personality characteristics, adjustment and coping processes in person with substance addicts. Method: In the present study, a sample 100 male subjects (50 drug addicts and 50 non-addicts) were selected. Drug addict group matched with non addict on age, socio-economic status and educational level. The analysis included Independent sample t-test on Neuroticism scale questionnaire, Global adjustment scale and Ways of coping questionnaire scores between drug addicts and non addicts. Results: Results indicated that the mean scores of drug addicts were significantly high on submissiveness (p < 0.01), anxiety (p < 0.01) and overall neuroticism (p < 0.01). When different domains of adjustment compared our results revealed that drug addicts had significantly higher score on all the indices of adjustment such as emotional (p < 0.01), social (p < 0.01), health (p < 0.01) and family (p < 0.01). Finally when different domains of coping processes compared it was found that drug addicts scored significantly higher on distancing (p < 0.01), self controlling (p < 0.01), escape avoidance (p < 0.01), planful problem solving (p < 0.01) and positive reappraisal (p < 0.01). Conclusion: In conclusion our findings fit into the life process model of drug addiction, where addiction is not a disease but rather a habitual responses and source of gratification that can be understood in the context of social relationship or experiences. Such habitual responses can be altered through proper therapeutic deaddiction procedure and counselling for better adjustment in life.Keywords
Drug Addicts, Personality Characteristics, Adjustment and Coping.- To Study Print Contrast Variation on Art and Map Litho Paper Due to Effect of Ink Sequence
Abstract Views :209 |
PDF Views:3
Authors
Affiliations
1 Department of Printing Technology, GJUS&T, Hisar, Haryana, IN
2 IMCMT, Kurukshetra University, Kurukshetra, Haryana, IN
1 Department of Printing Technology, GJUS&T, Hisar, Haryana, IN
2 IMCMT, Kurukshetra University, Kurukshetra, Haryana, IN
Source
International Journal of Science, Engineering and Computer Technology, Vol 7, No 2 (2017), Pagination: 125-127Abstract
Ink lay down sequence is a crucial aspect from technical perspective during printing which affects the print quality. The sequence of colors is very important for the print quality in the Sheet-fed Offset. This research paper delineated the variation in the print contrast of colors due to variation of different ink sequences. Although CMYK and KCMY are the standardized sequences for offset lithography but there are possibilities of printing by five different color sequences namely CMYK, MYCK, YMCK, KCMY and KYMC. To identify the effect of ink sequence in Sheet-fed Offset print quality, prepared a master and done printing in the local printing press of repute. After printing on Art and Map litho paper the result was analyzed.Keywords
Ink Sequence, Color, Print Contrast, Print Quality, Offset Printing.- To Analyze Ink Density Variation Due to Effect of Ink Sequence on Art and Maplitho Paper
Abstract Views :178 |
PDF Views:1
Authors
Affiliations
1 Department of Printing Technology, GJUS&T, Hisar, Haryana, IN
1 Department of Printing Technology, GJUS&T, Hisar, Haryana, IN
Source
International Journal of Science, Engineering and Computer Technology, Vol 7, No 1 (2017), Pagination: 38-40Abstract
This research paper delineated the variations in ink density due to different ink sequences on Art and Maplitho paper substrate. Density has always been an important aspect and the most exclusively evaluated term during printing. As density effects print quality, so it has been considered of greater importance across the in this modem technological time. The sequence of colors or ink sequence is an important factor effecting print quality in Sheet-fed Offset printing. Five different ink sequences CMYK, MYCK, YMCK, KCMY and KYMC were used on Art and Maplitho paper substrate for study. The main aim of this paper is to investigate impact of these sequences on density of Art and Maplitho paper during printing.Keywords
Ink Sequence, Density Maplitho Paper, Offset Printing, Art Paper.- Machine Learning Approach for Unstructured Data Using Hive
Abstract Views :194 |
PDF Views:1
It is viable to store and process these ransom amount of data on Hadoop; which is a low cost, reliable, scalable and fault tolerant Java-based programming framework that supports the processing of large data sets in a distributed computing environment. Hadoop implements MapReduce programing model for storing and processing large data sets with a parallel, distributed algorithm on commodity hardware. Nevertheless, the programming model expects the developers to write bespoke programs that are less flexible, time consuming, hard to code; maintain and reuse. This challenging task of writing complex MapReduce codes was rationalized by making use of HiveQL.
Hive is the platform required to run HiveQL. Hive is built on top of Hadoop to query Big Data. Internally the Hive queries are converted into the corresponding MapReduce task.
In this paper, by making use of machine learning algorithm a movie rating prediction system is built based on MovieLens dataset.
Authors
Affiliations
1 Atria Institute of Technology, Bangalore, IN
1 Atria Institute of Technology, Bangalore, IN
Source
International Journal of Engineering Research, Vol 5, No SP 4 (2016), Pagination: 801-807Abstract
Voluminous amount of structured, semistructured and unstructured data sets that have the potential to learn the relationship among data in the area of business is being collected rapidly; termed as big data. The storage of large chunks of data is difficult as even terabytes and petabytes of traditional data warehousing solutions is insufficient and exorbitant.It is viable to store and process these ransom amount of data on Hadoop; which is a low cost, reliable, scalable and fault tolerant Java-based programming framework that supports the processing of large data sets in a distributed computing environment. Hadoop implements MapReduce programing model for storing and processing large data sets with a parallel, distributed algorithm on commodity hardware. Nevertheless, the programming model expects the developers to write bespoke programs that are less flexible, time consuming, hard to code; maintain and reuse. This challenging task of writing complex MapReduce codes was rationalized by making use of HiveQL.
Hive is the platform required to run HiveQL. Hive is built on top of Hadoop to query Big Data. Internally the Hive queries are converted into the corresponding MapReduce task.
In this paper, by making use of machine learning algorithm a movie rating prediction system is built based on MovieLens dataset.
Keywords
Big Data, HDFS, Hadoop, Hive, MapReduce, Linear Regression.- Financial Development and Industrial Growth in India:An Empirical Investigation
Abstract Views :220 |
PDF Views:0
Authors
Affiliations
1 University Business School, Panjab University, Chandigarh, IN
2 Department of Economics, Panjab University, Chandigarh, IN
1 University Business School, Panjab University, Chandigarh, IN
2 Department of Economics, Panjab University, Chandigarh, IN
Source
Journal of Commerce and Accounting Research, Vol 7, No 3 (2018), Pagination: 1-7Abstract
The purpose of this paper is to examine the causal relationship between industrial growth and financial development during the post economic reforms in India (1991-2014). The long run relationship between financial development and industrial growth is tested by using ARDL (Auto Regressive Distributed Lag) model while causal relationship has been investigated with the help of Granger Causality Test. The empirical results of ARDL model found strong evidence in the long run between financial development and industrial growth and Granger Causality test indicate the bi-directional causality exists between industrial growth and financial development in India. The results of the present study support the significant role of financial development in the industrial growth. Easy licensing policy, credit availability, tax structure, skill centres and digitalization of market structure can enhanced the industrial growth in India.Keywords
Financial Development, Industrial Growth, Economic Reforms.References
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