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Titlebook: Deutsche Rokoko-Dichtung; Alfred Anger Book 1963 Springer-Verlag GmbH Deutschland 1963

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樓主: audiogram
21#
發(fā)表于 2025-3-25 03:44:31 | 只看該作者
22#
發(fā)表于 2025-3-25 08:38:42 | 只看該作者
23#
發(fā)表于 2025-3-25 11:40:41 | 只看該作者
A simulation study of the error produced by approximation in separable concave programming,e generated. The exact solutions then are obtained by other means and compared to the approximate solutions obtained by separable programming. The size of the problems generated ranges from two variables and two constraints to thirty variables and eighteen constraints. The number of segments generat
24#
發(fā)表于 2025-3-25 17:32:11 | 只看該作者
Early Rehabilitative Concepts in Therapy of the Comatose Brain Injured Patientsy-Onset-Stimulation (MEOS) in early rehabilitation...We studied 16 predominantly male (3: 1) patients, age mean 43.6 (16–77) years. Mean coma duration was 22.2 (8–41) days, therapy duration (MEOS) 9.8 (1–30) days. The initial GCS was 6.6 (3–9), KRS 5.3 (0–15). Including criteria for therapy: Severe
25#
發(fā)表于 2025-3-25 21:54:34 | 只看該作者
Local Molecular Dynamics Studies of Polymer Chains — In Solution and in Bulk — Using the Fluorescence Anisotropy Decay Techniquecorrelation function (OACF) of polymer chains are presented. Typical FAD curves of dilute and concentrated solutions of polystyrene labelled with an anthracene group in the middle of the chain are compared to the various OACF expressions and discussed. In the case of bulk polybutadiene, FAD results
26#
發(fā)表于 2025-3-26 00:45:30 | 只看該作者
27#
發(fā)表于 2025-3-26 06:16:14 | 只看該作者
28#
發(fā)表于 2025-3-26 09:33:56 | 只看該作者
29#
發(fā)表于 2025-3-26 15:11:23 | 只看該作者
https://doi.org/10.1007/978-3-030-49308-0ligence of dining staff at all stages of the food operation to ultimately deliver accurate information to consumers. Policies and solutions will be highly variable depending on the school’s resources and ability to execute the procedures listed here.
30#
發(fā)表于 2025-3-26 18:24:01 | 只看該作者
Comparing Concepts of Quantum and?Classical Neural Network Models for?Image Classification Taskof training parameters, indicate that the quantum network, although its simulation is time-consuming, overcomes the classical network (it has better convergence and achieves higher training and testing accuracy).
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