Helmet
发表于 2025-3-21 16:40:39
书目名称影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0630812<br><br> <br><br>书目名称影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0630812<br><br> <br><br>书目名称网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0630812<br><br> <br><br>书目名称网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0630812<br><br> <br><br>书目名称被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0630812<br><br> <br><br>书目名称被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0630812<br><br> <br><br>书目名称年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0630812<br><br> <br><br>书目名称年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0630812<br><br> <br><br>书目名称读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0630812<br><br> <br><br>书目名称读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0630812<br><br> <br><br>
公理
发表于 2025-3-21 23:20:55
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无思维能力
发表于 2025-3-22 02:04:09
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Rejuvenate
发表于 2025-3-22 06:25:55
Hakimeh Sadeghian,Zahra Savand-RoomiPresents more than 100 cases of adult congenital heart disease, including rare conditions.Covers findings from diagnosis to treatment follow-up.Highlights key teaching points
骚扰
发表于 2025-3-22 10:29:39
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中和
发表于 2025-3-22 16:24:45
Ulrich Eithudes supplementary material: . ..Ergänzend zu der formalen Darstellung eines herkömmlichen Lehrbuches, bieten die Autoren einen visuellen Zugang zur beschreibenden Statistik. In Form interaktiver JAVA-Applets, die mit einem gebräuchlichen Internetbrowser verwendet werden können, werden grundlegende
跳脱衣舞的人
发表于 2025-3-22 17:48:23
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Atheroma
发表于 2025-3-23 00:58:48
Towards an Integration of Imperfect Competition and Macrodynamics: Kalecki, Keynes, Joan Robinsoneferred to the paramount influence of Keynes and Kalecki on her. As time went by, she became more and more Kaleckian in her interpretation of Keynes and in her perceptions of the great intellectual upheaval associated with his name. As early as 1952, referring to Kalecki’s independent ‘discovery of
octogenarian
发表于 2025-3-23 01:48:11
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弹药
发表于 2025-3-23 07:01:30
https://doi.org/10.1057/9781137481054ty , it is shown that the NN learning controller can achieve small tracking errors and fast convergence rate with small control gains. These results will guarantee not only stability of the closed-loop systems, but also better performance in the aspects of time saving or energy saving. Finally, the theoretical analysis is supported by simulations.