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Titlebook: Bone Cements; Up-to-Date Compariso Klaus-Dieter Kühn Book 2000 Springer-Verlag Berlin Heidelberg 2000 Bone Cements.Knochenzemente.bone.hip.

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樓主: advocate
21#
發(fā)表于 2025-3-25 05:03:21 | 只看該作者
22#
發(fā)表于 2025-3-25 08:10:14 | 只看該作者
23#
發(fā)表于 2025-3-25 13:44:32 | 只看該作者
24#
發(fā)表于 2025-3-25 19:02:49 | 只看該作者
25#
發(fā)表于 2025-3-25 21:40:16 | 只看該作者
Chronic Limb-Threatening Ischemia: Evaluation and Management,imated to be between 2 and 3.4 million. Approximately 29% of CLTI patients have major amputation or death within the first year. Although establishing and maintaining direct arterial blood flow with revascularization remain the key for CLTI, concomitant guideline-directed medical therapy and aggress
26#
發(fā)表于 2025-3-26 04:00:09 | 只看該作者
Measurement of the Complexation Capacity of Organic Matter in Dilute Extracts of Soils and Sediments,e complexing agents which may either have been added intentionally or dissolved from the sediment [1–5]. These effects, which result from the competition of solute complexing agents with solid phase sorption sites or functional groups, are a direct indication of radionuclide organic matter (OM) asso
27#
發(fā)表于 2025-3-26 07:36:45 | 只看該作者
28#
發(fā)表于 2025-3-26 10:56:52 | 只看該作者
Generation of Feasible Test Sequences for EFSM Modelslgorithms for the detection and elimination of inconsistencies from the EFSM models are presented. Once inconsistencies are eliminated, realizable test sequences can be generated from the resulting consistent EFSM by using the methods available for FSM models.
29#
發(fā)表于 2025-3-26 15:17:31 | 只看該作者
Sylvia Wassertheil-Smoller,Jordan Smollerthey provide the necessary insight into the efficiency of the coupled method. It was noted that one of the key applications of the method is its performance for problems with limited training data. The computational results suggest that the method is very robust and can be applied to study complex real-world applications.
30#
發(fā)表于 2025-3-26 18:40:53 | 只看該作者
Deep Learning and IoT for Agricultural Applicationsect and generate enormous quantities of data for various fields and applications. This chapter shows different farming issues that can be solved by applying deep learning and IoT technologies in agriculture domain.
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