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researchers in the uk say blood that has been grown in a laboratory has been put into people, in a world—first clinical trial. it could help scientists manufacture rare blood groups. hello and welcome if you're watching in the uk or around the world. world leaders are addressing the cop27 summit in egypt today, as they try to rally global support for tackling climate change. talks this year will focus on three things. first — the implementation of what's known as the paris agreement. this in 2015, countries agreed to try to limit global temperature rises to one—point five degre...

Recent studies have demonstrated that backdoor attacks can cause a significant security threat to federated learning. Existing defense methods mainly focus on detecting or eliminating the backdoor patterns after the model is backdoored. However, these methods either cause model performance degradation or heavily rely on impractical assumptions, such as labeled clean data, which exhibit limited effectiveness in federated learning. To this end, we propose FLPurifier, a novel backdoor defense method in federated learning that can effectively purify the possible backdoor attributes before federate...

Besides producing hydrogen from surplus renewables, electrolyzers can also provide grid ancillary services like enhancing the stability, resilience, and robustness of the power grid. The paper presents a novel electrical circuit model for a proton exchange membrane electrolyzer (PEMEL) that has been validated using experimental data from a 400W electrolyzer. To demonstrate its adaptive capability, the proposed 400W electrical model is scaled up to a 1 MW stack, and this system is validated by comparison to another report of 1 MW stack experimental results. Results show that the developed model...

Cross-domain person re-identification (Re-ID) is a challenging and important task in monitoring safety and procedure compliance of industrial work places. In this paper, a novel method is proposed to reduce background induced domain shift for adaptive person Re-ID. Specifically, a foreground-background joint clustering module is proposed to extract discriminative foreground and background features and an attention-based feature disentanglement module is designed to reduce the interference of background with the extraction of discriminative foreground features. Experimental results on three wid...

A text semantic classification is an essential approach to recognising the verbal intention of online learners, empowering reliable understanding and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current deep learning models, such as CNN and RNN, are ineffective in classifying verbal content contextually. Moreover, the contribution of verbal elements to semantics is often considerably varied, requiring the attachment of weights to these elements to inc...