Delectable
发表于 2025-3-25 04:56:03
http://reply.papertrans.cn/27/2677/267633/267633_21.png
壁画
发表于 2025-3-25 10:10:51
http://reply.papertrans.cn/27/2677/267633/267633_22.png
Factual
发表于 2025-3-25 12:29:32
http://reply.papertrans.cn/27/2677/267633/267633_23.png
largesse
发表于 2025-3-25 18:52:23
Book 2000 ist ein ebenso weitverbreitetes wie drängendes soziales Problem. Der vorliegende Text untersucht das Phänomen aus psychologischer Perspektive: seine typischen Erscheinungsformen, Entstehungsbedingungen, Verlaufsmuster und Konsequenzen. Darüber hinaus wird in kulturvergleichender Betrachtung am Beis
Merited
发表于 2025-3-25 22:00:04
http://reply.papertrans.cn/27/2677/267633/267633_25.png
陪审团
发表于 2025-3-26 04:07:04
westlichen Denktradition bisher kaum gesehen und/oder genutzt werden, obwohl sie zur kooperativen Einleitung konstruktiver Veränderungen im Arbeitsprozeß sehr gut geeignet sind. Dazu legt der Autor sowohl theoretische Argumente als auch empirische Belege vor.978-3-531-13363-8978-3-322-90805-6
未完成
发表于 2025-3-26 06:51:33
http://reply.papertrans.cn/27/2677/267633/267633_27.png
indigenous
发表于 2025-3-26 11:28:57
Standard Monomial Theory and Toric Degenerations of Richardson Varieties in Flag Varieties,, indexed by compatible permutations, we provide a very direct and straightforward combinatorial rule for writing down a standard monomial basis. We apply this result to the study of toric degenerations of Richardson varieties. In particular, we provide a new family of toric degenerations of Richardson varieties inside flag varieties.
袋鼠
发表于 2025-3-26 14:32:37
https://doi.org/10.1057/9780230113930i-tumour effect of this enzyme. The purpose of this paper is to consider this problem in terms of what is already known about the extravasation of macro-molecules and also on the basis of experimental results obtained by observing the distribution of various samples of bacterial L-asparaginase in rats and sheep.
interrogate
发表于 2025-3-26 17:57:38
Cattle Identification Using Muzzle Images Machine (SVM), Linear Discriminant Analysis (LDA) and Tucker Tensor Decomposition. This selected classifiers we compared on the same dataset of muzzle images with different experiment settings. The results we evaluated by F-score. The best F-score result gives us the Tucker Tensor Decomposition. It achieved the median of F-score 0.750.