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Titlebook: Office Buildings; Health, Safety and E Pranab Kumar Nag Book 2019 Springer Nature Singapore Pte Ltd. 2019 Worker Health.Building Ergonomics

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21#
發(fā)表于 2025-3-25 06:07:47 | 只看該作者
22#
發(fā)表于 2025-3-25 10:19:51 | 只看該作者
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發(fā)表于 2025-3-25 13:45:56 | 只看該作者
24#
發(fā)表于 2025-3-25 16:39:34 | 只看該作者
Pranab Kumar Nagssive ideas of gender equality. Costanza Curro’s chapter shows how this process is entwined in the inherent tension between the internalization and exposure of ‘traditional’ gender divides, as well as between the private reproduction and public reappropriation of hospitality practices.
25#
發(fā)表于 2025-3-25 22:00:15 | 只看該作者
Pranab Kumar Nagerable to ., it was the forms and tactics of everyday resilience during and after the armed conflict that allowed individuals to cope with and survive these traumatic events. By allying with the scholars who challenge the construction of human beings as either resilient or vulnerable/passive, this a
26#
發(fā)表于 2025-3-26 03:52:27 | 只看該作者
of public dissent. Second, it explores the conciliatory aspect of feminist activism and its efforts to pre-empt social conflict and polarization. Taken together, this suggests the existence of an alternative political community at the grassroots level, which can be distinguished from the NGO sphere
27#
發(fā)表于 2025-3-26 06:15:33 | 只看該作者
28#
發(fā)表于 2025-3-26 11:23:33 | 只看該作者
Pranab Kumar Nagses in their semantic representations. Last but not least, we novelly propose to get rich contexts for addresses from the web through web search engines, which could strongly enrich the semantic meaning of addresses that could be learned. Our empirical study conducted on two real-world address datas
29#
發(fā)表于 2025-3-26 15:33:25 | 只看該作者
Pranab Kumar Nagel based on active learning is proposed, which helps staff to narrow the scope of attention. First, we extract features from medical insurance data and analyze their effectiveness. Then, we study the effects of kinds of feature selection functions and classifiers on the SC model. The experimental re
30#
發(fā)表于 2025-3-26 20:02:36 | 只看該作者
Pranab Kumar Nagel based on active learning is proposed, which helps staff to narrow the scope of attention. First, we extract features from medical insurance data and analyze their effectiveness. Then, we study the effects of kinds of feature selection functions and classifiers on the SC model. The experimental re
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