Empowerment of Women for Improved Quality of Life
In: Global Journal of HUMAN-SOCIAL SCIENCE: E Economics Volume 20 Issue 7 Version 1.0 Year 2020
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In: Global Journal of HUMAN-SOCIAL SCIENCE: E Economics Volume 20 Issue 7 Version 1.0 Year 2020
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Traditional approaches to stress adopt narrow and individualistic perspective with little attention paid to the wider organisational, social, political and family factors involved. The intersect of all these factors as well as the symptoms of stress that social work managers experienced were examined as part of a broader study of women in management andoccupational stress. The sample consisted of 30 women managers from diverse racial backgrounds. Ten of these managers were social workers. Both private and public organisations with local, national and international status were included in this study. Data were obtained through the use of a biographical questionnaire, a semi-structured interview schedule, the Type A personality scale and the 'Identifying stress at work' scale. Organisational contributors to occupational stress have been identified as follows: logistical constraints, career development, relationships at work, role in organisation, organisational structure and extra-organisational forces. The social factors, which impacted on the social work manager's experience of stress, were racism and gender discrimination. All the social work managers displayed Type A behaviour. The following sources of stress at the work/family interface were identified: domestic pressures, parental stress, marital discord, bi-cultural role conflict, and spill-over of job/stress into family life. Social work managers displayed physical, psychological and behavioural symptoms of stress. The social work managers used a variety of strategies to cope with pressure and combat stress. Given the nature of the stressors experienced by the social work managers, organisational as well as individual interventions to enhance self-care are recommended.
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In: SocioEconomic challenges: SEC, Band 5, Heft 4
ISSN: 2520-6214
Fast population growth, increase in per capita income and increase in level of awareness among the people regarding health are the main causes of increase in demand for nutritional and protein rich food. Fish is very good source of protein as well as vitamins. Fish may play a vital role to ensure the nutritional security in rural areas. Fish production and consumption has however undergone major uneven changes in the past four decades. It is found that at higher ends of the income distribution, the consumption of milk, eggs, meat, fish and processed foods have risen. Present study focuses on the demand for fish in Delhi and NCR in comparison to other items like chicken, mutton and eggs. A Three Stage Budgeting Framework of demand is used for present analysis. NSSO data of household consumption has been used for analysis. Per capita consumption of "fish", "chicken" and "mutton" in Delhi and NCR were estimated and it was found to be 4.04 kg/ annum, 2.27 kg/annum and 0.81 kg/annum respectively. So, per capita consumption of "fish" was found to be greater than "chicken" as well as "mutton". Income elasticity of demand was estimated for each income group of population and in most of the cases demand for fish was found to be income elastic. Compensated as well as non-compensated price elasticity of demand for fish was also estimated. It was found that price elasticity of fish was almost unitary elastic whereas price elasticity of chicken" and mutton were price inelastic. Fish demand was also projected up to 2020 and it was found to be 5.11 kg/capita/ annum in 2020. With increase in income of the population as well as awareness of health benefit of fish, it is expected that fish consumption will increase at a very fast rate in future. However the presence of a large proportion of vegetarian population in Delhi and NCR is a challenging proposition for increasing of overall fish consumption of Delhi and NCR.
In the past decade, several rapidly evolving transients have been discovered whose timescales and luminosities are not easily explained by traditional supernovae (SNe) models. The sample size of these objects has remained small due, at least in part, to the challenges of detecting short timescale transients with traditional survey cadences. Here we present the results from a search within the Pan-STARRS1 Medium Deep Survey (PS1-MDS) for rapidly evolving and luminous transients. We identify 10 new transients with a time above half-maximum (t(1/2)) of less than 12 days and -16.5 > M> -20 mag. This increases the number of known events in this region of SN phase space by roughly a factor of three. The median redshift of the PS1-MDS sample is z = 0.275 and they all exploded in star-forming galaxies. In general, the transients possess faster rise than decline timescale and blue colors at maximum light (g(P1) - r(P1) less than or similar to -0.2). Best-fit blackbodies reveal photospheric temperatures/radii that expand/cool with time and explosion spectra taken near maximum light are dominated by a blue continuum, consistent with a hot, optically thick, ejecta. We find it difficult to reconcile the short timescale, high peak luminosity (L> 10(43) erg s(-1)), and lack of UV line blanketing observed in many of these transients with an explosion powered mainly by the radioactive decay of56Ni. Rather, we find that many are consistent with either (1) cooling envelope emission from the explosion of a star with a low-mass extended envelope that ejected very little (<0.03 M-circle dot) radioactive material, or (2) a shock breakout within a dense, optically thick, wind surrounding the progenitor star. After calculating the detection efficiency for objects with rapid timescales in the PS1-MDS we find a volumetric rate of 4800-8000 events yr(-1) Gpc(-3) (4%-7% of the core-collapse SN rate at z = 0.2). ; NSF through a Graduate Research Fellowship ; David and Lucile Packard Foundation Fellowship for Science and Engineering ; Jenny and Antti Wihuri Foundation ; European Research Council under the European Union 291222 ; National Aeronautics and Space Administration NNX08AR22G ; Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation AST-1238877 ; University of Maryland ; Eotvos Lorand University (ELTE) ; Gemini Observatory GN-2011B-Q-3, GS-2012A-Q-31 ; Astronomy
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