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Titlebook: Formulas, Facts and Constants for Students and Professionals in Engineering, Chemistry, and Physics; Helmut J. Fischbeck,Kurt H. Fischbeck

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樓主: Daidzein
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發(fā)表于 2025-3-25 06:37:43 | 只看該作者
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發(fā)表于 2025-3-25 07:46:24 | 只看該作者
Cooperation, Trust and Games in Wireless Networks first, from 1945 to the early 1970s, the chief economic strategy of large-scale capital was concentration of investment and expansion of production in the existing highly developed countries. As a result, large numbers of migrant workers were drawn from less-developed countries into the fast-expand
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發(fā)表于 2025-3-25 11:45:49 | 只看該作者
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發(fā)表于 2025-3-25 16:15:45 | 只看該作者
Decrease of Energy Consumption of Transport Telecommunication Networks Using Stage-by-Stage Controlluce energy consumption of switching centers during the analysis and identification of faults and failures in equipment operation is offered in this paper. Energy reduction is achieved due to the use of step-by-step procedure of finding out abnormal situations, errors optimization of identification s
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發(fā)表于 2025-3-25 21:06:29 | 只看該作者
Emerging Non-invasive Markers: Imaging, Blood, and Liver Clearance Testss has been made since Baveno VI, especially in the non-invasive detection of clinically significant portal hypertension (CSPH). However, no surrogate measure of portal pressure response has been sufficiently validated to replace repeated measurement of the hepatic venous pressure gradient (HVPG) as
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發(fā)表于 2025-3-26 01:30:06 | 只看該作者
27#
發(fā)表于 2025-3-26 07:21:32 | 只看該作者
0302-9743 Advanced Applications, DASFAA 2014, held in Bali, Indonesia, in April 2014. The volume contains papers from 4 workshops, each focusing on hot topics related to database systems and applications: the Second International Workshop on Big Data Management and Analytics, BDMA 2014; the Third Internation
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發(fā)表于 2025-3-26 12:22:58 | 只看該作者
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發(fā)表于 2025-3-26 15:19:37 | 只看該作者
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發(fā)表于 2025-3-26 17:28:21 | 只看該作者
Integrated Modeling Environment “Virtual Computational Network”ng cases and scenarios for numerical experiments built atop of different codes and pre-calculated data. VCN is a powerful tool supporting distributed parallel computing, input/output data transformation, and results visualization “out-of-the-box”, allowing end-users to greatly improve numerical modeling studies efficiency.
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