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Titlebook: Marxism and the Leninist Revolutionary Model; William J. Davidshofer Book 2014 Palgrave Macmillan, a division of Nature America Inc. 2014

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發(fā)表于 2025-3-25 05:13:47 | 只看該作者
Marx: Historical Materialism and Economics,eator possessing the universal powers of the human species. Their solution to alienated self-consciousness therefore continued to rest in a “pure criticism” of religion grasped by all mankind in a secular state. As such, they denounced the notion of a class struggle as in itself egoistic and self-se
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發(fā)表于 2025-3-25 09:27:17 | 只看該作者
The April Theses and The State and Revolution,ent, a government of capitalists, should . to be an imperialist government.” . From this, Lenin argued that the Provisional Revolutionary Government must be completely deposed with the call of: “All Power to the Soviets.”
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發(fā)表于 2025-3-25 13:14:40 | 只看該作者
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發(fā)表于 2025-3-25 21:21:10 | 只看該作者
Epilogue Marxist and Leninist Revolutionary Theory Compared,development of stages of historical consciousness. However, for Marx, more than for Lenin, the Hegelian dialectic was tied directly to historical materialism in the development of the forces of production as the foundation of historical consciousness.
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發(fā)表于 2025-3-26 03:51:05 | 只看該作者
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發(fā)表于 2025-3-26 05:44:48 | 只看該作者
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發(fā)表于 2025-3-26 11:14:20 | 只看該作者
Lenin: Imperialism and National Self-determination,e of national self-determination was particularly important, as by the end of the nineteenth century it included a population of 170 million, of which only 75 million were of Great Russian extraction, with 57 percent of the population being of a polyglot extraction, especially those inhabiting the western, southern, and central Asian borderlands.
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發(fā)表于 2025-3-26 16:04:43 | 只看該作者
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發(fā)表于 2025-3-26 17:08:01 | 只看該作者
Forecasting of Reservoir Inflow Using Machine Learning—Case Study: Klang Gate Dam Reservoirtions to overcome this phenomenon is by managing water resources more efficiently. The reservoir is a major infrastructure to achieve water resource management and therefore it requires accurate water resources forecasting. The SVR and MLPNN models are introduced as a solution to achieve an efficien
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