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Titlebook: Short Stay Management of Chest Pain; Margarita Pena,Anwar Osborne,W. Frank Peacock Book 2022Latest edition The Editor(s) (if applicable) a

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51#
發(fā)表于 2025-3-30 10:26:44 | 只看該作者
52#
發(fā)表于 2025-3-30 13:18:26 | 只看該作者
M. Germond,M.-C. Gaillard,A. Sennneteenth century, this phrase obtained a specialized meaning that cannot be derived from the meanings of its constituent words. The “equality” of equal opportunity refers to equality among people belonging to different groups, and the “opportunities” mostly concern access to desirable activities and
53#
發(fā)表于 2025-3-30 19:34:26 | 只看該作者
54#
發(fā)表于 2025-3-30 21:52:58 | 只看該作者
K. Aswani,C. A. Abin Thomasd above all, systematic comparative analysis of fecund sources. The work not only demanded much time in preparation, but was also interrupted by other duties, such as time spent as a guest professor at universities abroad, which of course provided welcome opportunities to present and discuss the wor
55#
發(fā)表于 2025-3-31 03:36:59 | 只看該作者
Rohit Beniwal,Divyakshi Bhardwaj,Bhanu Pratap Raghav,Dhananjay Negi papers and industrial reports. There is a strong affinity between the Web a worldwide distributed computing environment and the capability of intelligent agents to act on and through software. The ultimate goal of intelligent agents is to accelerate the evolution of the Web from a passive, static m
56#
發(fā)表于 2025-3-31 05:29:52 | 只看該作者
57#
發(fā)表于 2025-3-31 11:06:17 | 只看該作者
Wichard Woykeprivate world of domesticity. In the urban context at least, most women’s employment took them well outside the confines of their own homes. The examination of women’s employment and ., as revealed in the records, suggests that perhaps some historians of women’s history in the ., may have been too p
58#
發(fā)表于 2025-3-31 16:58:14 | 只看該作者
59#
發(fā)表于 2025-3-31 21:07:04 | 只看該作者
60#
發(fā)表于 2025-4-1 00:02:28 | 只看該作者
Neural User Embedding from Browsing Eventsng methods for learning user representations are usually based on supervised frameworks such as demographic prediction and product recommendation. In addition, these methods highly rely on labeled data to learn user-representation models, and the user representations learned using these methods can
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