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Titlebook: Questions of Modern Cosmology; Galileo‘s Legacy Mauro D‘Onofrio,Carlo Burigana Book 2009 Springer-Verlag Berlin Heidelberg 2009 Cosmic Micr

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發(fā)表于 2025-3-24 01:49:08 | 只看該作者
https://doi.org/10.1007/978-3-642-00792-7Cosmic Microwave Background; Cosmology; Dark Energy; Dark matter; Galileo; IYA 2009; Standard Model; Univer
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發(fā)表于 2025-3-24 04:33:39 | 只看該作者
Book 2024nd den nachhaltigen Lernerfolg dieser Formate. Ein besonderer Fokus liegt auf der Verknüpfung von theoretischen, methodischen und praktischen Aspekten des Einsatzes von Serious Games und Gamification. Dabei werden auch die Anforderungen und Herausforderungen solcher digitalen Tools für Lehrerinnen und Lehrer aufgezeigt.
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發(fā)表于 2025-3-24 10:24:32 | 只看該作者
https://doi.org/10.1007/BFb0058692erally for the application of various color transformations. The large size of these models leads to data storage issues when trying to distribute them on a large scale. Here, a highly effective lossy compression technique for 3. .s?is proposed. It is based on a multi-scale anisotropic diffusion sch
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發(fā)表于 2025-3-24 10:50:31 | 只看該作者
https://doi.org/10.1007/978-0-387-71368-7ral sensitivity and appreciation for cultural diversity. It requires attitudinal adjustments and open-mindedness along with a healthy dose of skepticism and tenacity in principled behavior. One can explain, without excusing, and understand, without condoning, what one encounters and perceives as les
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發(fā)表于 2025-3-24 17:08:05 | 只看該作者
Kamal Nayan Chaturvedi,Ankur Kohli,Akshat Kamboj,Shobhit Mendiratta,Nitin Rakeshlable sample for biomedical analysis, was reported to contain various subpopulations of exRNA, some of which are most likely components of plasma ribonucleoproteins (RNPs), while others are encapsulated into extracellular vesicles (EVs) of different size, origin, and composition. Unbiased analysis o
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發(fā)表于 2025-3-25 00:19:07 | 只看該作者
Maryvette Balcou-Debussche Ph.D.,Crane Rogersinly because the search (hypotheses) spaces are often very large and the evaluation of each hypothesis, which involves theorem proving, may be quite time consuming in some domains. To address these efficiency issues of ILP systems we propose the . (.nd .arallel.m for ILP) system that uses results fr
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