vitrectomy 发表于 2025-3-26 21:16:59
http://reply.papertrans.cn/43/4234/423321/423321_31.png软弱 发表于 2025-3-27 02:57:55
http://reply.papertrans.cn/43/4234/423321/423321_32.pngrecede 发表于 2025-3-27 06:58:05
http://reply.papertrans.cn/43/4234/423321/423321_33.pngRENIN 发表于 2025-3-27 12:16:16
Olaf SchnurRicci site, located to the south of the basin of the Merín lagoon, Uruguay. These data will contribute in increasing the knowledge of the construction processes of the mounds. The elemental composition data of the matrix indicate possible variations in the composition and origin of the materials usejettison 发表于 2025-3-27 13:44:07
Nicola Hiltitic Web. The tool presented has been developed based on the Inferential Modeling Technique, which is a knowledge modeling technique for representing both static and dynamic knowledge elements of a problem domain. A major deficiency of existing tools is the lack of support for modeling dynamic knowle乏味 发表于 2025-3-27 20:08:58
http://reply.papertrans.cn/43/4234/423321/423321_36.pngControl-Group 发表于 2025-3-28 01:15:34
Brigitte Zamzow,Antonia Krahles of cognitive science in different ways. Aristotle’s considerations, also of the concept of a category, led to distinguishing accidental and substantive categories based on the differences Aristotle saw between the subject of a sentence treated as the substance and the predicate treated as an acciintolerance 发表于 2025-3-28 02:10:13
http://reply.papertrans.cn/43/4234/423321/423321_38.pngObverse 发表于 2025-3-28 08:46:42
Matthias Bernt of input sequences. In this study, we deal with the dynamical mechanism generating such a hierarchical distribution. The recording data were investigated using return map analysis. Each of the obtained return maps was well approximated by a set of contractive affine transformations. These findingssigmoid-colon 发表于 2025-3-28 12:18:06
Franziska Wernerver, the neural mechanism underlying this ability is still unclear. In this paper, a global neural network model is proposed. This model consists of two subsystems, a parietal network for mental rotation, and inferior temporal network for object recognition. In this model, it is assumed that mental