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Titlebook: International vergleichende Sozialforschung; Ans?tze und Messkonz Birgit Pfau-Effinger,Slaeana Saka? Magdaleni?,Chri Book 2009 VS Verlag fü

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樓主: crusade
31#
發(fā)表于 2025-3-26 21:30:12 | 只看該作者
Lisa Fletcherllected over 100 species of flora before commencement of university life. At the conclusion of his first university year, he set out over the summer to collect a much larger sample of species, primarily from the Great Lakes-St. Lawrence ecoregion, to fulfil a requirement for a second year botany cou
32#
發(fā)表于 2025-3-27 01:11:15 | 只看該作者
33#
發(fā)表于 2025-3-27 06:59:23 | 只看該作者
Irina Berezovskaya,Maria Karagacheva,Tatiana Slotina,Aleksandra Komarova,Nina Popovaf Auger elctrons or photoelectrons. If the incident beam is to reach the sample, and the emitted electrons are to be detected, then their mean free paths in the region of the sample must be greater than the physical dimensions of the apparatus involved, otherwise scattering will distort the outcome
34#
發(fā)表于 2025-3-27 13:15:47 | 只看該作者
35#
發(fā)表于 2025-3-27 14:50:21 | 只看該作者
Contact Pressures within Wrist Jointsof biomechanical studies have been performed to define the kinematics of the normal wrist and the changes in kinematics seen in degenerative states. Early workers studied x-ray films and cadaver specimens to observe relative motions in the wrist.. Investigators had also used quantified, three-dimens
36#
發(fā)表于 2025-3-27 21:05:13 | 只看該作者
,I Can’t Believe It’s Not Scene Flow!,ging over many points. To address this limitation, we propose ., a new class-aware and speed-normalized evaluation protocol that better contextualizes error comparisons between object types that move at vastly different speeds. In addition, we propose ., a frustratingly simple supervised scene flow
37#
發(fā)表于 2025-3-28 00:15:15 | 只看該作者
Bayesian Inference of Hidden Markov Models Using Dirichlet Mixtures,case a unique parameter estimation technique based on Markov Chain Monte Carlo (MCMC) sampling. We also demonstrate reversible jump MCMC to enhance modeling capabilities via dynamic model selection. As an important step in our learning process, we explore and integrate the Dirichlet mixture model in
38#
發(fā)表于 2025-3-28 04:25:31 | 只看該作者
39#
發(fā)表于 2025-3-28 07:23:28 | 只看該作者
40#
發(fā)表于 2025-3-28 13:45:46 | 只看該作者
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