粗略 发表于 2025-3-21 16:35:23
书目名称Innovations for Metropolitan Areas影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0467019<br><br> <br><br>书目名称Innovations for Metropolitan Areas读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0467019<br><br> <br><br>极端的正确性 发表于 2025-3-21 21:02:04
http://reply.papertrans.cn/47/4671/467019/467019_2.png沙漠 发表于 2025-3-22 01:39:34
lease and a reduction osteotomy, a knee deformity may be too rigid and/or the medio-lateral soft-tissue imbalance too severe to correct. In such cases a sliding medial condylar osteotomy (SMCO) in a varus knee or a lateral epicondylar osteotomy (LEO) in a valgus knee may be required to achieve optim肮脏 发表于 2025-3-22 05:08:51
Dario Aleo Horcas,Payam Dehdari,Thomas Bäumer,Helmut Wlcekng all these problems from a common point of view led to the investigation of so-called degeneracy graphs (cf. Section 3.1). These graphs represent appropriate tools for describing the complex structure of the basis or tableau set associated with a degenerate vertex and thus for revealing the theoreCorral 发表于 2025-3-22 10:17:02
Lars Mauch,Rebecca Litauer,Steffen Bengel,Bernd Bienzeislerng all these problems from a common point of view led to the investigation of so-called degeneracy graphs (cf. Section 3.1). These graphs represent appropriate tools for describing the complex structure of the basis or tableau set associated with a degenerate vertex and thus for revealing the theorelinear 发表于 2025-3-22 15:41:28
Sebastian Stütz,Daniela Kirschhat such a graph has some special properties and in order to solve the above questions firstly these properties had to be investigated. Also the structure of degeneracy graphs playes hereby an important role. Because the theory of degeneracy graphs was quite new, it was necessary to elaborate first很像弓] 发表于 2025-3-22 18:55:13
Christoph Lindt,Maren-Linn Janka,Payam Dehdarihe computational effort substantially depends upon the number and the individual degeneracy degree of the degenerate vertices which are (must be) determined with the help of such techniques. Therefore efficiency losses due to degeneracy have to be taken into account, especially in using pivoting met问到了烧瓶 发表于 2025-3-23 00:23:47
Sally Köhler,Axel Norkauer,Markus Schmidt,Verena Loidlan prevent singularity formation in space-time. Furthermore, these solutions give rise to constants which correspond to masses. In other words, numbers representing masses are a direct consequence of our theory, and need not be prescribed in an ad-hoc manner - as is usually done in physical theories使迷惑 发表于 2025-3-23 03:14:42
aSqaaiaadQgadaWgaaadbaGaamiC% aaqabaaaleqaaaGccaGLOaGaayzkaaGaeyypa0ZaaeWaaeaacaWGSb% GaaiilaiaadUgadaWgaaWcbaGaamiBaaqabaaakiaawIcacaGLPaaa% caWFGaGaa83Daiaa-LgacaWF0bGaa8hAaiaa-bcacaWFRbWaaWbaaS% qabeaacaWGPbaaaOGaeyypa0Jaam4AamaaBaaaleaacaWGQbWaaSba% aWqaaiaadMgaaeqaaaWcbeaakmaabmaabaGaamyAaiabg2Initial 发表于 2025-3-23 07:56:58
Leonie Sophie Wahl,Wei-Hsin Hsiang,Georg HaueraSqaaiaadQgadaWgaaadbaGaamiC% aaqabaaaleqaaaGccaGLOaGaayzkaaGaeyypa0ZaaeWaaeaacaWGSb% GaaiilaiaadUgadaWgaaWcbaGaamiBaaqabaaakiaawIcacaGLPaaa% caWFGaGaa83Daiaa-LgacaWF0bGaa8hAaiaa-bcacaWFRbWaaWbaaS% qabeaacaWGPbaaaOGaeyypa0Jaam4AamaaBaaaleaacaWGQbWaaSba% aWqaaiaadMgaaeqaaaWcbeaakmaabmaabaGaamyAaiabg2