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Titlebook: Das 3-Monomethylxanthin, ein Mittel zur Bek?mpfung der M?use und Ratten; Inaugural-Dissertati Carl Heemsoth Book 1925 Springer-Verlag Berli

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21#
發(fā)表于 2025-3-25 03:59:28 | 只看該作者
22#
發(fā)表于 2025-3-25 07:44:58 | 只看該作者
Wearable Joint-Angle Measurement with Modulated Magnetic Field from L/C Oscilatorsl, as described Chapter 3. As organizer Rinku Sen reminds us, “there are no pure models” for community organizing. I think of organizing histories and examples as a kind of “banyan tree;” it is difficult (and sometimes pointless) to see where one root begins and another ends. While they may have his
23#
發(fā)表于 2025-3-25 13:43:46 | 只看該作者
,Linearization of the Weak Forms – Tangent Matrices in a Covariant Form,ull linearization of the corresponding weak forms representing the equilibrium conditions on the contact boundaries described in Chapter 5 for all contact cases. Linearization is obtained using the covariant derivatives in the corresponding local surface coordinate system, where derivatives of conta
24#
發(fā)表于 2025-3-25 17:25:33 | 只看該作者
,Die ?Astronomie des Unsichtbaren? und andere Untersuchungen,lt, in den schwierigen F?llen, in denen die Wissenschaft auf Ph?nomene stiess, die scheinbar diesem Gesetz widersprachen. Das wissenschaftliche Denken stand vor der Wahl, entweder die .sche mathematische Formulierung des Schwerkraftgesetzes unter gewissen Bedingungen für ungenau zu erkl?ren, oder ab
25#
發(fā)表于 2025-3-25 22:54:07 | 只看該作者
,Alienation in Marx’s ,,ted with Hegel’s philosophy. This, however, is somewhat one-sided and prevents us from seeing the concept, and the problem behind it, in full perspective. It seems advantageous to start not with Hegel, but rather with Kant.
26#
發(fā)表于 2025-3-26 04:03:23 | 只看該作者
27#
發(fā)表于 2025-3-26 08:13:03 | 只看該作者
28#
發(fā)表于 2025-3-26 09:03:56 | 只看該作者
29#
發(fā)表于 2025-3-26 15:28:03 | 只看該作者
30#
發(fā)表于 2025-3-26 19:24:53 | 只看該作者
Machine Learning Methods in Chemoinformatics for Drug Discovery,ilding ML-based classification and regression models using state-of-art open-source and proprietary tools. A few case studies using benchmark data sets have been carried out to demonstrate the efficacy of the ML-based classification for drug designing.
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