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Titlebook: Foundations of Object-Oriented Programming Using .NET 2.0 Patterns; Christian Gross Book 2006 Christian Gross 2006 Boo.C#.Inform.Mixin.Sca

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樓主: PED
21#
發(fā)表于 2025-3-25 06:10:19 | 只看該作者
Vilmos Vass,Ferenc Kissonsequences of sexuality, and the natural history and evolution of a representative fungal genus. These subjects have been extensively reviewed in the literature, and there seems to be no urgent need to update them. The initiation and progression of events in fruiting bodies and asci has been the su
22#
發(fā)表于 2025-3-25 10:53:31 | 只看該作者
Energy Transfer Methods between Superconducting Magnets976). In recent years, issues of identification with the group and of majority or minority influence have emerged as central problems (Brown, 1988). Rarely, however, has the body entered as a topic for legitimate inquiry. This could be because the typical setting for such studies has been the group
23#
發(fā)表于 2025-3-25 14:31:53 | 只看該作者
24#
發(fā)表于 2025-3-25 18:09:12 | 只看該作者
Die Kommunalverwaltungdertwende — Perioden durch eingeschr?nktes Wahlrecht legitimierter Formen der Administration ab. Die seit ihren frühmittelalterlichen Anf?ngen in der Selbstverwaltung dominierende grundherrliche Gewalt in den ?parishes“ (Kirchspielen) wurde im 14. Jahrhundert nach Aufl?sung dieser Machtstrukturen er
25#
發(fā)表于 2025-3-25 21:57:13 | 只看該作者
26#
發(fā)表于 2025-3-26 00:20:20 | 只看該作者
General Linear Methods for Time-Dependent PDEs,rs stem from the ‘classical’ class of backward differentiation formulae (BDF) and diagonally implicit Runge–Kutta (DIRK) methods. We extend this to the class of general linear methods (GLMs) that unify multistep and multistage methods into one framework. We focus on diagonally implicit multistage in
27#
發(fā)表于 2025-3-26 05:28:58 | 只看該作者
28#
發(fā)表于 2025-3-26 11:56:10 | 只看該作者
29#
發(fā)表于 2025-3-26 15:46:49 | 只看該作者
30#
發(fā)表于 2025-3-26 17:12:17 | 只看該作者
FaLQE: Fluctuation Adaptive Link Quality Estimator for Wireless Sensor Networkss same as that of existing stable estimators when there are transient fluctuations, and agility of the proposed estimator is same as that of existing agile estimators when sudden changes arise. More importantly, compared with existing estimators, the estimate error of the proposed one is reduced by 22.5%–31.8% for different link characteristics.
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