Informatics Publishing Limited

Renu ¹, Sachin ²

Affiliations
1 Gupta Hospital, Hisar, Haryana, IN
2 University of Rajasthan, Jaipur, IN

Abstract

The scenario study has been designed to compare the degree of organizational role stress, and personality among public and private sector telecoms employees. The sample was composed of 180 telecom employees in which 90 employees were from private sector telecom and the rest of 90 were from public sector telecom. Inter-correlation and t-test has been computed for the simplification of the data. The results indicate that private sectors telecom employees have faced more role ambiguity, role stress, role overload and role stagnation in comparison to public sectors.

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Sachin ¹

Affiliations
1 University of Rajasthan, Jaipur, IN

Abstract

The present study assesses the emotional intelligence and burnout among female teachers of private schools. The sample was comprised of 150 teachers from different English medium Private schools of Hisar, Haryana. This study provided the evidence that confirmed the relationship between emotional intelligence and burnout. In addition, the role of emotional intelligence as moderator in the stress and burnout relationship was explored and partially confirmed. Understanding emotion external also makes an indirect reference to interpersonal relationship in terms of the understanding of emotions that others experience and express in the workplace. Furthermore, training on emotional intelligence will address aspects such as the management of positive and negative emotions and control of extreme emotion such as anger, stress and anxiety which in turn would both have a positive impact on both the professional and personal relationship in that where individual process the ability to deal effectively with these types of emotions, it will result in less conflicit within the workplace and home environment.

Keywords

Emotional Intelligence, Burnout, Female Teachers.

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Sachin ¹, Krishan Kumar ², Manjeet Kumar ³

Affiliations
1 University of Rajasthan, Jaipur, IN
2 National Brain Research Centre, Manesar, IN
3 GMCH, Chandigarh, IN

Abstract

The present study was conducted at different institutes of physically handicapped children diagnosed as Cerebral palsy. A sample consisted of 42 children diagnosed as cerebral palsy (both boys and girls in equal number) were taken for the purpose. The age range of the sample was between 13 to 17 years. The data was collected with the help of Generalized self efficacy Scale (GSES) and Beck Depression Inventory. The results showed inverse correlation between the scores of self-efficacy and depression. The correlation of scores of GSES with items of BDI pertaining to emotional, cognitive, motivational and somatic symptoms of depression showed significant inverse correlation with emotional and cognitive symptoms of depression (r = -.35* & -.34*). Thus from these findings it can be concluded that high generalized self-efficacy in children may serve as a protective factor against depression, whereas, low self-efficacy can lead them to depression.

Keywords

Self-Efficacy, Depression, Cerebral Palsy.

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Sachin ¹

Affiliations
1 Singhania Univeresity, Rajasthan, IN

Abstract

Poverty refers to deprivations in human well being below a critical minimum level. To set the boundary of our analysis, two points on the concept of poverty might be mentioned at the outset. First, poverty is a multidimensional concept and deprivations in areas such as income, health and education are all important facets of human welfare. The current paper attempter to analyze the effects of changing structure of production and income generation process on poverty and inequality. Given India's size, diversity and federal structure, experiences at the state level are as important as those at the national level.

Keywords

Macroeconomic Policy, Poverty.

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Atul ¹, Munna Devi ¹, Sachin ¹

Affiliations
1 Department of ECE, MITM, Jevra, Hisar, Haryana, IN

Abstract

Ocular biometric has created vital progress over past decade among the all biometric trains. The white region of eye is sclera, which is exposed. The sclera is roofed by the thin clear wet layer referred as conjunctiva. Conjunctiva and episclera contains the blood vessels. Our aim is to segment the sclera patterns from the eye footage. This paper focuses on the detection of ocular region from the eye image, enhancement of blood vessels and feature extraction. The features extracted from ocular regions are used for biometric recognition.

Keywords

Biometrics, Ocular Pattern, Sclera and Conjunctival Vasculature.

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