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Titlebook: Letters, Postcards & Memoranda; Paul Bailey Textbook 1979Latest edition Paul Bailey 1979 business.management.office management

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11#
發(fā)表于 2025-3-23 12:45:12 | 只看該作者
Paul Baileyr was trained to predict whether or not a surface residue is an interface residue (i.e., is located in the protein-protein interaction surface) based on the identity of the target residue and its 10 sequence neighbors. Separate classifiers were trained on proteins from two categories of complexes, a
12#
發(fā)表于 2025-3-23 17:42:48 | 只看該作者
Paul Bailey003.Includes supplementary material: ISDA‘03 General Chair‘s Message On behalf of the ISDA‘03 organizing committee, I wish to extend a very warm welcome to the conference and Tulsa in August 2003. The conference program committee has organized an exciting and invigorating program comprising pres- en
13#
發(fā)表于 2025-3-23 18:01:59 | 只看該作者
14#
發(fā)表于 2025-3-24 00:22:37 | 只看該作者
15#
發(fā)表于 2025-3-24 03:21:09 | 只看該作者
https://doi.org/10.1007/978-1-349-04556-3business; management; office management
16#
發(fā)表于 2025-3-24 06:34:53 | 只看該作者
17#
發(fā)表于 2025-3-24 11:54:30 | 只看該作者
of the spectrum sample. The predictive performance of the CNN was compared against several other algorithms widely adopted in the literature. The CNN architecture discriminates COVID-19 with Raman spectroscopy of blood samples with 96.8% accuracy, 95.5% sensitivity, and 98.2% of specificity, represe
18#
發(fā)表于 2025-3-24 18:09:34 | 只看該作者
19#
發(fā)表于 2025-3-24 20:07:42 | 只看該作者
Paul Baileyof the spectrum sample. The predictive performance of the CNN was compared against several other algorithms widely adopted in the literature. The CNN architecture discriminates COVID-19 with Raman spectroscopy of blood samples with 96.8% accuracy, 95.5% sensitivity, and 98.2% of specificity, represe
20#
發(fā)表于 2025-3-25 03:06:57 | 只看該作者
Paul Baileyof the spectrum sample. The predictive performance of the CNN was compared against several other algorithms widely adopted in the literature. The CNN architecture discriminates COVID-19 with Raman spectroscopy of blood samples with 96.8% accuracy, 95.5% sensitivity, and 98.2% of specificity, represe
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