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Titlebook: Labour and the Politics of Disloyalty in Belfast, 1921-39; The Moral Economy of Christopher J. V. Loughlin Book 2018 The Editor(s) (if appl

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樓主: Malinger
21#
發(fā)表于 2025-3-25 03:45:20 | 只看該作者
Book 2018nd applies methodology from history, sociology and political science. Christopher J. V. Loughlin questions previous narratives that asserted the centrality of religion and sectarian conflict in the establishment of Northern Ireland. .Labour and the Politics of Disloyalty in Belfast, 1921-39. suggest
22#
發(fā)表于 2025-3-25 11:21:20 | 只看該作者
religion and sectarian conflict in the establishment of NortThis book provides the first ‘history from below’ of the inter-war Belfast labour movement. It is a social history of the politics of Belfast labour and applies methodology from history, sociology and political science. Christopher J. V. Lo
23#
發(fā)表于 2025-3-25 14:24:45 | 只看該作者
24#
發(fā)表于 2025-3-25 18:37:14 | 只看該作者
James J. Trobaughcations, evidenced by the increasingly common deployment of these models in both research and clinical settings. Although such models have shown unprecedented performance in solving fundamental computational tasks in DP applications, they suffer from catastrophic forgetting when adapted to unseen da
25#
發(fā)表于 2025-3-25 23:41:35 | 只看該作者
26#
發(fā)表于 2025-3-26 01:24:01 | 只看該作者
Evaluation of Deep Learning Models in the Prediction of Lung Disease(Pneumonia),predicted using chest x-rays by radiologists. Using deep learning, one can develop an automated prediction system by building a convolutional network that can help in predicting the disease. In a deep learning framework, the transfer learning technique is one of the methods based on the image net cl
27#
發(fā)表于 2025-3-26 06:06:07 | 只看該作者
28#
發(fā)表于 2025-3-26 09:08:15 | 只看該作者
29#
發(fā)表于 2025-3-26 13:28:21 | 只看該作者
30#
發(fā)表于 2025-3-26 17:12:15 | 只看該作者
1615-1844 ists from the Scientific Group Thermodata Europe (SGTE).InclThermodynamic data for inorganic materials are fundamental for the optimisation of existing process parameters and for investigating suitable parameters for carrying out potential new processes. With the aid of such data, time and costs can
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