讽刺滑稽戏剧
发表于 2025-3-26 23:22:50
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胡言乱语
发表于 2025-3-27 02:19:51
Silvia Oddo,Brenda Giagante,Silvia Kochenons in the Hilbert space of quantum mechanics. The second reason for dealing with these transformations is the fact that certain operators encountered in quantum mechanics may be interpreted as representatives of underlying geometric transformations in classical phase space. This applies in particul
合唱队
发表于 2025-3-27 06:03:47
Amarjeet Shrama,Priyanshi,Chandi C. Mandalquations which govern this state. These integral equations are characterized by kernels of interaction and normalization operators which depend on the choice of the internal states, on the choice of the orbital partition and on the nucleon-nucleon interaction. The kernels of these operators are expr
使害羞
发表于 2025-3-27 12:16:06
Florence Wong,Tilman Sauerbruchomposition and compute its eigenfunctions and eigenvalues. The eigenvalues reflect the action of the Pauli principle on the composite particle interaction as a function of the relative excitation and the mass numbers of the fragments. In section 8.5, we study the configuration s.p. + s.p. which cove
哎呦
发表于 2025-3-27 16:15:31
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Carcinogen
发表于 2025-3-27 18:42:15
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dysphagia
发表于 2025-3-27 22:15:22
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deface
发表于 2025-3-28 04:52:40
Unitary Structure of Orbital States,In principle it is possible to analyse the permutational symmetry of orbital states entirely in terms of the symmetric group, and for the nuclear states this approach has been adopted in . The use of the unitary and general linear groups for the same purpose can be justified both on physical and mathematical grounds.
craven
发表于 2025-3-28 06:53:17
Tod Sloan,Alan David Kayed shows that climate science meets all of these criteria. Thus, while there is no way to know for sure that scientists are correct in their conclusions, the various means we have to test and evaluate scientific claims lead to the conclusion that, so far as we are able to tell, it is most likely that
Morsel
发表于 2025-3-28 12:27:11
Early Detection of Sepsis Induced Deterioration Using Machine Learning,ors classifiers. The most promising results were obtained using Linear Support Vector Machines trained on features extracted from single heart beats using the wavelet transform and autoregressive modelling, where the classification occurred as a majority vote of the heart beats over multiple long EC