A ROBOT PLATFORM FOR HIGHLY EFFICIENT POLLUTANT PURIFICATION

A Robot Platform for Highly Efficient Pollutant Purification

In this study, we propose a highly efficient robot platform for pollutant adsorption.This robot system consists of a flapping-wing micro aircraft (FWMA) for long-distance transportation and delivery and cost-effective multifunctional Janus microrobots for pollutant sensationnel kiyari purification.The flapping-wing micro air vehicle can hover for 1

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Rethinking integrated service delivery for malaria.

Despite worldwide efforts and much progress toward malaria control, declines in malaria morbidity and mortality have hit a plateau.While many nations achieved significant malaria suppression or even elimination, success has been uneven, and other nations have made little headway-or even lost ground in this battle.These alarming trends threaten to d

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An improved fixed-time stabilization problem of delayed coupled memristor-based neural networks with pinning control and indefinite derivative approach

In this brief, we propose a class of generalized memristor-based neural networks with nonlinear coupling.Based read more on the set-valued mapping theory, novel Lyapunov indefinite derivative and Memristor theory, the coupled memristor-based neural networks (CMNNs) can achieve fixed-time stabilization (FTS) by designing a proper pinning controller,

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