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Titlebook: Zwischen Bibel und Grundgesetz; Die Religionspolitik Katja Guske Book 2014 Springer Fachmedien Wiesbaden 2014 Ambivalenz der S?kularisierun

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21#
發(fā)表于 2025-3-25 07:23:39 | 只看該作者
22#
發(fā)表于 2025-3-25 11:21:04 | 只看該作者
Spiritual Care Charting/Documenting/Recording/Assessment: A Perspective from the United Kingdom,d chaplaincy professions. This has not been an easy undertaking given the lack of a standardised approach, the changing and challenging landscape of healthcare in the UK and the conflicting terminology used when trying to assess, capture and record encounters, interactions and conversations with pat
23#
發(fā)表于 2025-3-25 14:43:40 | 只看該作者
24#
發(fā)表于 2025-3-25 17:42:11 | 只看該作者
One-Party Dominance and Public Sector Corruption in South Africa: Consequences for Democracyctly post-apartheid form. Public sector corruption in South Africa is similar and comparable to that found globally in both developed and developing countries. At the heart of the corruption problem resides a political party that has become reliant on the public sector to keep together a very dispar
25#
發(fā)表于 2025-3-25 20:47:36 | 只看該作者
26#
發(fā)表于 2025-3-26 01:59:38 | 只看該作者
27#
發(fā)表于 2025-3-26 06:19:46 | 只看該作者
28#
發(fā)表于 2025-3-26 09:52:58 | 只看該作者
Analysis of the Suitability of Satellite Communication for Time-Critical IoT Applications in Smart G the requirements of all M2M applications. This paper compares the latency requirements of certain time-critical applications with reported satellite network latency and address the problem of latency evaluation of networks to support these types of applications.
29#
發(fā)表于 2025-3-26 15:35:44 | 只看該作者
Configuration-Aware Contracts of contract to distinguish between the configuration parameters and the other variables. Moreover, we define a multi-context reusable component based on the configuration-aware contracts. Finally, we demonstrate the usefulness of the multi-context components on a motivating case.
30#
發(fā)表于 2025-3-26 20:05:19 | 只看該作者
E. Romingerndly, we give the GGNN model for deep learning to identify the vulnerabilities. Thirdly, we label nearly 40,000 smart contracts deploying multiple tools to construct the dataset. Compared to the most advanced vulnerability detection methods, our model provide a better detection results and performan
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