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Titlebook: Wirtschaftsprivatrecht; Eine Einführung Justus Meyer Textbook 2017Latest edition Springer-Verlag Berlin Heidelberg 2017 Gesellschaftsrecht.

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樓主: Truman
21#
發(fā)表于 2025-3-25 07:11:36 | 只看該作者
Folkard Edlerer Ergebnisse in einer wirksamen Qualit?tskontrolle zu tun. An den betreffenden Stellen wurde stets davon Gebrauch gemacht, da die Erfassung und die Analyse der Vorgarnschwankungen kein Selbstzweck sind. Vielmehr müssen sie das Fundament jeder betrieblichen Qualit?tskontrolle bilden. Bei der Analyse
22#
發(fā)表于 2025-3-25 10:02:00 | 只看該作者
Immortalization of Human Articular Chondrocytes for Generation of Stable, Differentiated Cell Linesods for immortalization of primary human chondrocytes with SV40-TAg, HPV-16 E6/E7, and telomerase by retrovirally mediated transduction and selection for neomycin resistance are described. However, stable integration of an immortalizing gene stabilizes proliferative capacity, but not the differentia
23#
發(fā)表于 2025-3-25 12:32:13 | 只看該作者
Fast Genetic Scan Matching in Mobile Roboticsrs. The measured data may be incomplete and noisy. To solve this problem, we used a genetic algorithm for minimizing an alignment error. A lookup-based fitness function was devised. The considered range devices are laser and focalized ultrasonic scanners. Scan matching is often considered for mobile
24#
發(fā)表于 2025-3-25 18:55:19 | 只看該作者
25#
發(fā)表于 2025-3-25 21:23:42 | 只看該作者
Course 2: Mechanical Aging and Non-linear Rheology of Concentrated Colloidal Suspensions: Experimens. After recalling some basics about the interactions between colloidal particles, I present a few experimental facts commonly observed in these systems: aging and non-linear rheology. A simple phenomenological model is then introduced, in which the local state of the system is described by a single
26#
發(fā)表于 2025-3-26 03:08:02 | 只看該作者
27#
發(fā)表于 2025-3-26 07:14:32 | 只看該作者
28#
發(fā)表于 2025-3-26 09:52:03 | 只看該作者
29#
發(fā)表于 2025-3-26 16:41:42 | 只看該作者
30#
發(fā)表于 2025-3-26 19:43:28 | 只看該作者
Petra Bauer,Marc Weinhardt. In this context, we are interested in understanding the factors that influence an employee to leave his position. We aim to develop a generic attrition prediction platform that does not depend on the application domain, based on bipartite graph properties and machine learning algorithms.
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