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Not all of these challenges can be addressed by the spontaneous healing powers of the market.
These challenges can be addressed from both the P2P system design and the advanced video coding perspectives.
In this paper we consider how these challenges can be addressed within the mathematical framework of reinforcement learning and Markov decision processes (MDPs).
As described in ref. 28 we find that many of the above challenges can be addressed through the selection of appropriate methods and materials.
You're also interested in how the world's challenges can be addressed at the intersection of business, law, medicine, design, or other fields.
By applying these engineering foundations to the richness and versatility of biology, some of the world's most significant challenges can be addressed.
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This challenge can be addressed by using multi-scale product models comprising multiple levels of detail (LoD).
This challenge can be addressed by introducing robust, light-activated photocatalysts that lower reaction barriers at ambient conditions instead of relying on traditional, phonon-driven chemical conversion.
This challenge can be addressed by designing carriers whose properties can be changed in time so as to successfully navigate them through various biological hurdles.
Such a challenge can be addressed partly by designing appropriate facility layouts.
This challenge can be addressed with strategies such as online courses, reimbursement for off-site courses and seminars, and encouraging cross-training to build these needed skills.
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