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The Treasury secretary, Timothy F. Geithner, has been circulating a lengthy framework of principles for requiring institutions to build up bigger cushions to guard against investment losses and the risk of cash shortages caused when the credit markets seize up.
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We show that the use of such distributions allows for representation principles not requiring too hard data aggregation, but still admitting efficient evaluation of decision situations.
The two principles, by requiring permanent equal liberties for all, increase social harmony by making it much easier for justice to be seen to be done.
It is worth noting that there has been debate, particularly in the philosophical literature, about the legitimacy of the core principle behind requiring respect for advance directives.
It has ten broad principles which require, for example, the regular monitoring of forests and workers' conditions, and the formal recognition of the rights and interests of indigenous peoples.
We demonstrate in this paper that the combination of negotiation, brokering and deployment using SLA-aware extensions and autonomic computing principles are required for achieving reliable and efficient service operation in distributed environments.
So construed, Confucian ethics provides an alternative to understanding the nature of the moral life that is different from an understanding that is primarily based on abstract principles, even abstract principles that require respect for each person.
Our studies illustrate some of the key practical design principles required for their future application in biosensing for a broad array of environmental and healthcare areas.
One way to respond to this potential problem is to argue that there is no violation of the principle requiring toleration for a person's conscience when government fails to exempt a person who wishes to act on her conscience in a way that violates an otherwise valid law.
As a data-driven approach with no first-principles model required for process optimization, this methodology may be particularly useful for complex processes for which no knowledge-driven model exists.
As a data-driven approach with no first-principles model required for process optimization, this methodology may be particularly useful for complex processes for which no knowledge-driven model exists or where the objective function cannot be modeled.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com