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Yuyutsu Ram Dass Sharma (Nepali: युयुत्सु शर्मा; born January 5, 1960) is a Nepalese-Indian poet and journalist. He was born at Nakodar , Punjab and moved to Nepal at an early age.
Final Solution documentary film directed by Rakesh Sharma concerning the 2002 Gujarat riots in the state of Gujarat in which 254 Hindus and 790 Muslims were killed. Hindu right-wing organizations were made responsible for these riots, which took place as a "spontaneous response" to the killing of 70 Hindu pilgrims in the Godhra Train Burning by a mob of radical Muslims on 27 February 2002.
Sharma made waves with Final Solution, a documentary that presents the 2002 Gujarat riots as an anti-Muslim pogrom orchestrated by right-wing Hindu nationalists in Gujarat. Himself a Hindu, Sharma used primary sources — testimony from both victims and perpetrators — to allege that the state was complicit in the violence. [6] [7] [8]
Indian Feudalism is a book by Indian professor Ram Sharan Sharma.The book analyses the practice of land grants, which became considerable in the Gupta period and widespread in the post-Gupta period.
A villain is an "evil" character in a story, whether a historical narrative or, especially, a work of fiction.In soap operas, the villain, sometimes called a "bad guy", is an antagonist, tending to have a negative effect on other characters.
This is an accepted version of this page This is the latest accepted revision, reviewed on 14 November 2024. Canadian self help writer Robin Sharma Occupation Author, speaker Language English Nationality Canadian Citizenship Canadian Alma mater Schulich School of Law at Dalhousie University Genre Self-help/motivational Notable works The Monk Who Sold His Ferrari, The Saint, the Surfer, and the ...
Between 21 November and 1 December 1994, four people associated with the ISRO; D. Sasikumaran, K. Chandrasekhar, Nambi Narayanan and Sudhir Kumar Sharma were arrested by the Crime Branch of the Kerala Police; [17] Narayanan had submitted a request for voluntary retirement from ISRO a month prior to his arrest. [18]
In linear programming, reduced cost, or opportunity cost, is the amount by which an objective function coefficient would have to improve (so increase for maximization problem, decrease for minimization problem) before it would be possible for a corresponding variable to assume a positive value in the optimal solution.