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Titlebook: Issues in Fetal Medicine; Proceedings of the T S. L. Barron (Emeritus Consultant Obstetrician and Conference proceedings 1995 The Galton In

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41#
發(fā)表于 2025-3-28 16:47:34 | 只看該作者
42#
發(fā)表于 2025-3-28 19:56:11 | 只看該作者
Tom Lind einer immer komplexeren und dynamischeren Umwelt erfolgreich agieren zu k?nnen. Hierzu ist es notwendig, dass sie über ausreichend Kompetenz im Bereich des systemischen Denkens, d.h. des Denkens in Zusammenh?ngen, verfügen. Der Erwerb dieser F?higkeit erfordert viel praktische übung. Ein wichtiger
43#
發(fā)表于 2025-3-29 01:15:51 | 只看該作者
44#
發(fā)表于 2025-3-29 04:40:04 | 只看該作者
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發(fā)表于 2025-3-29 08:49:48 | 只看該作者
46#
發(fā)表于 2025-3-29 13:32:30 | 只看該作者
Is the IMF Varying Among Ellipticals?y dispersion. These relations, when interpreted in the light of our recent evolutionary synthesis model predictions, suggest the existence of important Ca underabundances with respect to Fe and/or an increase of the dwarf to giant stars ratio along the mass sequence of ellipticals.
47#
發(fā)表于 2025-3-29 19:37:38 | 只看該作者
48#
發(fā)表于 2025-3-29 20:29:03 | 只看該作者
Directed Unfolding of Petri Nets,owever, current unfolding strategies typically equate to blind (breadth-first) search. They do not exploit the knowledge of the marking that is sought, merely entertaining the hope that the road to it will be short. This paper investigates ., which exploits problem-specific information in the form o
49#
發(fā)表于 2025-3-30 00:14:46 | 只看該作者
1064-3745 ation advice from the experts.This volume presents the most recent technologies used in the Polycomb Group Proteins (PcG) field. Chapters detail state-of-the-art methods, creating a unique and comprehensive reference source for investigating Polycomb function in the nucleus. Written in the highly su
50#
發(fā)表于 2025-3-30 04:44:33 | 只看該作者
Freydoon Shahidisify and assigns them preferentially to a human domain expert. Experiments performed with nine classifiers on six datasets show that with manually labelling less than 30%, an F1-score between .95% and 99% is achievable for five of six datasets. The inference on energy-efficient GPU-less infrastructure with only 4 GB can be done in less than?1?s.
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