impaction 发表于 2025-3-26 22:34:27
The Poetic Instinct of LifeThe method I want to use is that of dialogue. I would like to arouse some interest and convey the anxieties that the proposed theme of the program of The Phenomenology Congress held in Seville in 1985 created for me. These reflections fall under the general idea of Life.冬眠 发表于 2025-3-27 03:05:30
f the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included.978-3-642-43412-9978-3-642-20989-5Excitotoxin 发表于 2025-3-27 05:46:21
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http://reply.papertrans.cn/63/6238/623707/623707_34.pngProstatism 发表于 2025-3-27 17:35:09
The Current of Living in the Existential-I-Subject According to the Philosophy of J. G. Fichtehence we elevate ourselves”. in Fichte’s philosophy. His philosophy is something more than a gnoseological or ethical theory. It is the life of a self-consciousness that attempts in a speculative compromise to connect the reality of the . to the “independent activity” of the I-subject.错误 发表于 2025-3-27 18:02:54
Ideal Objects and Skepticism: A Polemical Point in ealistic and showed again, in fact, that the essence of reality is accessible to human understanding. The . all at once stood refuted, along with the . and the .. And this happened solely as the result of the work of a researcher whose former writings had not at all hinted that such an extraordinary丰满中国 发表于 2025-3-28 01:20:30
Society as Aristocratic: Towards a Clarification of the Meaning of “Society” in Ortega’s ,und.”. That is to say, a historical shift of “generations” occurred only one year after its publication such that Europe began to be defined by a vastly greater degree of politicization than had characterized the previous generational period of 1919–1931.. As a result, the overt theme of the study,分开 发表于 2025-3-28 04:28:20
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http://reply.papertrans.cn/63/6238/623707/623707_39.pngprolate 发表于 2025-3-28 10:47:06
f Uncertainty in Measurement (GUM) are discussed. Monte Carlo methods for the derivation of the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included.