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Titlebook: Secular Stagnation Theories; A Historical and Con Christina Anselmann Book 2020 Springer Nature Switzerland AG 2020 Kaleckian-Steindlian mo

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發(fā)表于 2025-3-26 21:41:18 | 只看該作者
2662-6098 role of income distribution in various secular stagnation thIn light of weak economic performances and rising income disparities across the developed world during the past decades, this book provides a comprehensive overview of secular stagnation theories in the history of economic thought and exami
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發(fā)表于 2025-3-27 03:00:06 | 只看該作者
Income Distribution in Stagnation Theorieso put the (functional) income distribution at the heart of his stagnation theory. It is argued that Steindl’s hypothesis can enhance the contemporary stagnation debate by bringing the distribution of income to the fore.
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發(fā)表于 2025-3-27 05:53:24 | 只看該作者
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發(fā)表于 2025-3-27 11:36:13 | 只看該作者
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發(fā)表于 2025-3-27 17:24:28 | 只看該作者
Christina Anselmanncro-nano manipulations; robot vision and scene understanding; visual and motional learning in robotics; signal processing and underwater bionic robots; soft loc978-3-030-27528-0978-3-030-27529-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-27 17:51:35 | 只看該作者
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發(fā)表于 2025-3-27 22:03:34 | 只看該作者
Book 2020tion of income in a Kaleckian-Steindlian model of economic growth and stagnation. In the model presented, the nexus between economic growth and the distribution of income is a priori uncertain, depending on the type of economic shock and the specific economic circumstances. The author also discusses
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發(fā)表于 2025-3-28 03:18:49 | 只看該作者
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發(fā)表于 2025-3-28 06:59:58 | 只看該作者
Christina Anselmannented signals), the result shows significant improvement on the success rate from 70% to 90% on performing the kitting experiments after combined with the VAEs augmented signals to compute the funnel-transitions model. To the best of our knowledge, our scheme is the first attempt for improving robot
40#
發(fā)表于 2025-3-28 12:04:32 | 只看該作者
ovements, including flexion/extension (Flex/Ext) only, pronation/supination (Pro/Sup) only, and 2-DoF movements. The offline tracking performance of the proposed method was comparable to that of the existing calibration method with averaged r = 0.883 and NRMSE = 0.218. Moreover, the results demonstr
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