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Titlebook: Untersuchungen über rationelle Arbeitsweisen bei Pre?- und Bügelvorg?ngen in Chemisch-Reinigungsbetr; Erich Wedekind,Hartmut Kokerbeck Boo

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樓主: Mottled
21#
發(fā)表于 2025-3-25 06:39:52 | 只看該作者
Einleitung,ührt. Dabei wurde nicht nur eine Methodik der Arbeitsgestaltung in einem Sektor des Textil-Reinigungsgewerbes, n?mlich in der gewerblichen W?scherei, entwickelt, sondern es wurden auch für den Gebrauch des Praktikers Beispiele geboten, die eine unmittelbare übernahme der Untersuchungsergebnisse in d
22#
發(fā)表于 2025-3-25 11:32:13 | 只看該作者
23#
發(fā)表于 2025-3-25 12:33:29 | 只看該作者
Homologous Radioimmunoassay for Human Parathyroid Hormone (Residues 28–48) with Tyrosylated Peptide can be found of the C- and N-terminal and also of the midregional part of the hormone, of which the greatest part is biologically inactive [2, 3]. The fragments which appear result from proteolytic cleavage after their biosynthesis. They appear both intra- and extraglandularly [4]. Since the points
24#
發(fā)表于 2025-3-25 19:09:54 | 只看該作者
25#
發(fā)表于 2025-3-25 22:41:44 | 只看該作者
,Considering the Vascular Hypothesis of Alzheimer’s Disease: Effect of Copper Associated Amyloid on reported that red blood cells (RBCs) bind amyloid, which are the characteristic deposits found in AD brains, and interact with amyloid on the vasculature [1–3]. Oxidative stress triggered by these RBC/amyloid interactions could impair oxygen delivery. Recent literature has implicated copper bound a
26#
發(fā)表于 2025-3-26 02:51:03 | 只看該作者
27#
發(fā)表于 2025-3-26 05:01:14 | 只看該作者
28#
發(fā)表于 2025-3-26 09:02:09 | 只看該作者
29#
發(fā)表于 2025-3-26 14:08:08 | 只看該作者
Dynamic Model Identification of PAM-Based Rehabilitation Robot Using Neural MIMO NARX Modelward Dynamic Neural MIMO NARX model scheme of the nonlinear 2-axes PAM robot arm has been investigated. The results show that the novel Forward Dynamic Neural MIMO NARX Model trained by Back Propagation learning algorithm yields outstanding performance and perfect accuracy.
30#
發(fā)表于 2025-3-26 18:27:23 | 只看該作者
Felipe A. Medeiros,Luciana M. Alencarhen propose a simple heuristic algorithm and show that this algorithm can efficiently be implemented in a multi-agent system. The approach is exemplified on the problem of collaborative media organization and evaluated on a several synthetic and real world datasets.
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