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Titlebook: Models of Phase Transitions; Augusto Visintin Book 1996 Birkh?user Boston 1996 Sobolev space.calculus.equation.function.mathematics.partia

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21#
發(fā)表于 2025-3-25 06:24:56 | 只看該作者
Tanya Wyattclusive disease been confirmed in controlled studies. Not surprisingly, the favour- able results achieved both in patients with critical limb ischaemia and in those with intermittent claudication has stimulated research activities into the clinical pharmacology of this prostaglandin. As a consequenc
22#
發(fā)表于 2025-3-25 10:14:29 | 只看該作者
Applications of Animal Cell Culture-Based Assays, production of recombinant products and gene therapy, stem cell research, pathological studies, cellular development and differentiation studies as well as hybridoma technology. Application of cell-based assays have made it easier to develop newer protocols for more specific, efficient and reproduci
23#
發(fā)表于 2025-3-25 14:11:10 | 只看該作者
24#
發(fā)表于 2025-3-25 17:43:53 | 只看該作者
Computer Vision Approach for Visibility Enhancement of Dull Images,ten challenged with low light input images. Howbeit, a low vision image captured under poor light conditions is prone to suffer from a considerable redundancy of valuable information. This often makes the image unsuitable for performing any computational task, and hence requires to be radiated and r
25#
發(fā)表于 2025-3-25 20:25:23 | 只看該作者
26#
發(fā)表于 2025-3-26 00:59:56 | 只看該作者
27#
發(fā)表于 2025-3-26 06:28:12 | 只看該作者
28#
發(fā)表于 2025-3-26 10:52:23 | 只看該作者
29#
發(fā)表于 2025-3-26 14:35:27 | 只看該作者
Effect of Farm Manure on Dissolution of Underlying Carbonate Rocks and Atmospheric CO2 Source/Sink,te rocks can be estimated as up to 26–40% on a Guiyang city scale. Moreover, the results suggest that manure accelerated the generation of soil CO.; the data show that soil CO. concentration in manure profile increases by 23–199% (average 94%) and the CO. flux increases by 68% compared with control profile.
30#
發(fā)表于 2025-3-26 19:30:26 | 只看該作者
Selecting a Mentor in a Graduate Programnt models that score object tracks on both appearance and motion. We train an LSTM that can score object tracks based on both appearance and motion and utilize it in a multiple hypothesis tracking framework. In experiments, we show that with our novel LSTM model, we achieved state-of-the-art perform
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