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Titlebook: Konstruktionselemente des Maschinenbaus 2; Grundlagen von Masch Albert Albers,Ludger Deters,J?rg Wallaschek,Waldem Textbook 20086th edition

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31#
發(fā)表于 2025-3-26 23:06:03 | 只看該作者
Kate Aughtersones von Voraussetzungen abh?ngig, wie wir empirische Messungen zu interpretieren haben. Wenn wir diese Voraussetzungen ?ndern, erhalten wir für dieselben r?umlichen oder zeitlichen Verh?ltnisse verschiedene Messungsergebnisse und eine andere Geometrie. Ebenso beruht aber auch jede Auswertung einer ex
32#
發(fā)表于 2025-3-27 02:00:23 | 只看該作者
33#
發(fā)表于 2025-3-27 06:54:45 | 只看該作者
34#
發(fā)表于 2025-3-27 10:28:46 | 只看該作者
35#
發(fā)表于 2025-3-27 15:46:28 | 只看該作者
Sums of Independent Random Variables,we perform an experiment repeatedly and independently, then the “average value” is given by .where . represents the outcome of the . experiment. The r.v. x? is then called an . for the mean μ of each of the .. Statistical theory studies when (and how) x? converges to μ as . tends to ∞. Even once we
36#
發(fā)表于 2025-3-27 21:33:34 | 只看該作者
Comprehending the Physiological Efficiency of Millets Under Abiotic Stress,tional insecurity has necessitated to improve agricultural productivity and overall sustainability. Owing to their C. anatomy (C. photosynthetic trait) and climate resilient adaptability traits, millets are model crops for sustainable agriculture solutions and climate change. Regarded as Climate Sma
37#
發(fā)表于 2025-3-28 01:19:14 | 只看該作者
0306-0225 corporates a wealth of research on the latest proteomics of .This new edited volume in the Springer Subcellular Biochemistry Series presents a comprehensive, state-of-the-art overview of the proteomics of peroxisomes derived from mammalian, .Drosophila., fungal, and plant origin, and contains contri
38#
發(fā)表于 2025-3-28 06:09:05 | 只看該作者
39#
發(fā)表于 2025-3-28 07:55:10 | 只看該作者
40#
發(fā)表于 2025-3-28 14:24:12 | 只看該作者
Grundlagen der Betriebswirtschaftslehrel parameters overcomes the limitations of limited real disease sample sets for tunnel lining structures. The experimental results show that the network after transfer learning can accurately detect defect bodies in actual tunnel lining structures, verifying the effectiveness and feasibility of the p
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