Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments

Abstract Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in applications such as health monitoring, post-disaster rescue, and intelligent control.However, conventional microphone-based systems remain challenging for complex human-machine collaboration

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Assessment of the efficacy of a feed additive consisting of Bifidobacterium longum CNCM I‐5642 (PP102I) for dogs (Nestlé Enterprises S.A.)

Abstract Following a request from the European Commission, EFSA was asked to deliver a scientific opinion on the efficacy of Bifidobacterium longum CNCM I?5642 (PP102I) as a zootechnical feed additive (functional group: physiological condition stabiliser) for dogs.In a previous opinion, the FEEDAP Panel Airbrush Color concluded that PP102I was safe

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