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Titlebook: Wirtschaftsenglisch; Soziokultureller Ber Heinz Müller Book 1991 Springer Fachmedien Wiesbaden 1991 economics.economy.linguistics

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樓主: 哄笑
21#
發(fā)表于 2025-3-25 05:57:03 | 只看該作者
Santiago Garcia-Echevarriaüssen. Zu diesem Zweck betrachten wir die Wechselwirkung zwischen Magneten und elektrischen Str?men, ferner die allgemeinen Merkmale und die Gr?sse der mechanischen Kr?fte, die aus dieser Wechselwirkung entspringen, endlich die allgemeinen Beziehungen, die zwischen den mechanischen und elektromagnet
22#
發(fā)表于 2025-3-25 10:23:30 | 只看該作者
Anatomy of the Median Nerve: Anatomic Variations and Anomalies,es are reviewed that delineate the variable patterns, courses, and anastomoses of the median nerve and its branches in this region. Specific attention is given to the palmar cutaneous branch, thenar motor branch, and common digital nerve branches of the median nerve. Understanding these anatomic var
23#
發(fā)表于 2025-3-25 14:45:19 | 只看該作者
Activity Prediction for Elderly Using Radio-Frequency Identification Sensors,ons for falling. One of the better ways for fall prevention is to monitor patient movement. A new kind of batteryless light sensors is providing us with new opportunities for activity prediction, where the inconspicuous nature of such sensors makes them very suitable for monitoring the elderly. In o
24#
發(fā)表于 2025-3-25 19:20:27 | 只看該作者
25#
發(fā)表于 2025-3-25 21:53:55 | 只看該作者
26#
發(fā)表于 2025-3-26 00:51:33 | 只看該作者
27#
發(fā)表于 2025-3-26 06:23:53 | 只看該作者
28#
發(fā)表于 2025-3-26 11:56:53 | 只看該作者
Universal Access: The “Universal” Is Not as It Seemsthe use of information technologies. We are not unaware of the undeniable fact that the search for a fully universal interaction is utopian, however, we try to explain the problem here and provoke discussion about the concept of universality.
29#
發(fā)表于 2025-3-26 12:49:51 | 只看該作者
30#
發(fā)表于 2025-3-26 18:11:55 | 只看該作者
Dietmar Cra?,J?rg Schimpfsuccessful computational intelligence technique for diagnosing ES in health informatics. This paper deals with a real-life application of epilepsy classification using computational techniques namely, Target-vs-One and Target-vs-All using deep learning approach. It is investigated that the baseline
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