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Titlebook: Hobbes on Legal Authority and Political Obligation; Luciano Venezia Book 2015 The Editor(s) (if applicable) and The Author(s) 2015 Hobbes.

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楼主: Indigent
发表于 2025-3-26 23:01:20 | 显示全部楼层
Coercion, Rational Self-Interest, and Obligation,ond, it introduces the further thesis that subjects have binding political obligations because, given the costs of non-compliance, obeying the law is the best way to promote their rational self-interest.
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Political Obligation,ve political obligations when rational self-interest recommends disobeying rather than obeying the law. The sovereign, it seems, is merely a temporary ‘protection agency’ for promoting the subjects’ rational self-interest, and one that then may be legitimately ‘fired’ when not performing this role properly..
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Variational Methods and Applications to Water Waves,so given. Finally, it is shown how more general dispersive relations can be formulated by means of integro-differential equations; an important application of this, developed with some success, is towards resolving longstanding difficulties in understanding the breaking of water waves.
发表于 2025-3-28 05:40:11 | 显示全部楼层
Database Backups, Recovery, and Maintenance,tific reductionism and quantification are dominant. The use of ligand-protein networks has been gaining significant value in the history of drug discovery while its application in TCM is still in its early stage. This article firstly surveys TCM databases for virtual screening that have been greatly
发表于 2025-3-28 09:25:24 | 显示全部楼层
D. J. Doorly,F. T. Smithechanical strain, etc.) can be directly integrated into this surface remodeling force. Remodeling can be naturally restricted around foreign bodies (such as modeling adaptation around a surgical screw). Future work aims to identify the surface remodeling force from longitudinal image data.
发表于 2025-3-28 13:25:15 | 显示全部楼层
Mining Sequential Patterns of Historical Purchases for E-commerce Recommendationntial pattern of customer clicks and purchases to capture better customer behavior. This paper proposes an algorithm called HSPRec (Historical Sequential Pattern Recommendation System), which mines frequent sequential click and purchase patterns for enriching the (i) user-item matrix quantitatively,
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