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Titlebook: War, Peace and International Security; From Sarajevo to Cri Jan Eichler Book 2017 The Editor(s) (if applicable) and The Author(s) 2017 War.

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樓主: Stimulant
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發(fā)表于 2025-3-26 22:27:22 | 只看該作者
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發(fā)表于 2025-3-27 01:13:49 | 只看該作者
On providing a high-level C interface for an object-oriented, C++ system,he C interface low, and facilitating the transition of the C application to C++ in the long run. We describe an approach that satisfies these goals while efficiently using the C++ mechanisms of polymorphism and inheritance, and contrast our approach with the more traditional approach of creating a C
33#
發(fā)表于 2025-3-27 07:24:42 | 只看該作者
Assessing Autophagy in Sertoli Cells,for the survival of the cells during nutrient or energy deprivation condition. Autophagy is active in Sertoli cells and involved in many cellular processes. However, the precise role of autophagy in Sertoli cells is still largely unknown. Thus, the assessment of autophagy in Sertoli cells should be
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發(fā)表于 2025-3-27 11:55:46 | 只看該作者
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發(fā)表于 2025-3-27 14:50:48 | 只看該作者
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發(fā)表于 2025-3-27 22:16:47 | 只看該作者
Smart Lightweight MR Damper for the Enhancement of Seismic Mitigation,and amplitude,?± 5?mm. The maximum damping force was found to be 1.032?kN obtained from the MR fluid containing 60% Fe.O. particles in magnatec oil. For variable frequency, the time history loading test was done with El Centro ground acceleration data where the maximum damping force for MRF 60 is 1.3 kN.
38#
發(fā)表于 2025-3-28 04:04:10 | 只看該作者
39#
發(fā)表于 2025-3-28 06:48:13 | 只看該作者
Giuseppina Fabbianoe early 1980s. The book has been written to provide both the engineering student and the practicing engineer a working knowledge of the prin- ciples of present and future telecommunication systems based upon the use of the public switched network. Problems or discussion questions have been included
40#
發(fā)表于 2025-3-28 10:53:46 | 只看該作者
Optimising Deep Learning for Wearable Sensor-Based Fall Detectiondifferent parameters, probing the effectiveness of diverse flattening methods, data augmentation, feature engineering, and model architectures. The findings show how to improve the model’s performance with an optimal setting.
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