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Widows in India : Issues of Masculinity and Women's Sexuality
AHMED-GHOSH, Huma Ewha Womans University Press 2009 Asian Journal of Women's Studies(AJWS) Vol.15 No.1
While recent studies and contemporary films have focused on the plight of widows in India, very little has addressed the myriad ways in which women’s lives are circumscribed through cultural controls over sexuality. This paper highlights that the defining of women’s identity primarily through sexuality is not just about patriarchal control, but also historically perpetuates and legitimizes masculine power and masculinity over women. The condition of widows, then, follows from multiple social forces and traditions that define and perpetuate a ritualized masculinity, which are complex and difficult to overcome.
Gaurav Sharma,Ankit Kotia,Subrata Kumar Ghosh,Prashant Singh Rana,Seema Bawa,Mohamed Kamal Ahmed Ali 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.10
Recent researchers widely used nanoparticle additives for improving thermal and rheological properties of machine lubricant. In present study the effect of Al2O3 and CeO2 nanoparticles on transmission oil (SAE30), hydraulic oil (HYDREX100) and gear oil (EP90) of heavy earth moving machinery is investigated. Nano-lubricant samples are prepared in 0.01–4% nanoparticle volume fraction range. Four machine learning techniques namely decision tree (DT), random forest (RF), generalized linear models and neural network (NN) have been used to predict the kinematic viscosity for Al2O3 and CeO2 nanolubricants. Further, multi-criteria decision-making technique named technique for order of preference by similarity to ideal solution have been used to find the best predictive method in each category of the nanolubricants. DT, RF and NN methods are found to be most accurate in kinematic viscosity prediction of transmission oil (R 2 = 0.861), hydraulic oil (R 2 = 0.971) and gear oil (R 2 = 0.973), respectively.