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BBCNEWS BBC News July 6, 2024

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 degrees celsius. second, action on loss and damage , that s developed nations finding ways to compensate and assist developing nations, following decades of environmental damage. and thirdly, there s a promise to be more transparent about the process. rich countries will also outline how they plan to reduce their carbon emissions with countries most affected by rising temperatures describing how climate chan ....

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"<italic>FLPurifier</italic>: Backdoor Defense in Federated Learning vi" by Jiale Zhang, Chengcheng Zhu et al.

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 federated aggregation. Specifically, FLPurifier splits a complete model into a feature extractor and classifier, in which the extractor is trained in a decoupled contrastive manner to break the strong correlation between trigger features and the target label. Compared with existing backdoor mitigation methods, FLPurifier doesn’t rely on impractical assumptions since it can effectively purify the backdoo ....

Adaptation Models , Daptive Classifier Aggregation , Backdoor Attacks , Ecoupled Contrastive Training , Feature Extraction , Federated Learning , Self Supervised Learning ,

"Dynamic Electrical Circuit Modeling of a Proton Exchange Membrane Elec" by Md Biplob Hossain, Md Rabiul Islam et al.

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 reproduces very similar step responses to those reported for the 400W electrolyzer and 1 MW stack. In this paper, the developed model was then used to evaluate the grid frequency response against disturbance, possible resilience advantages from frequency control services, and frequency sensitivity analysis for a modified IEEE-13-bus-distribution-feeder system. These simulations indicate that PEME ....

Activation Voltage Drops , Adaptation Models , Ancillary Service , Ircuit Stability , Requency Regulation Service , Frequency Response , Ntegrated Circuit Modeling , Power System Dynamics , Power System Stability ,

"Reducing Background Induced Domain Shift for Adaptive Person Re-Identi" by Jianjun Lei, Tianyi Qin et al.

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 widely used person Re-ID benchmarking datasets (Market-1501, DukeMTMC-reID, and MSMT17) have demonstrated that the proposed method achieves promising performance compared with the state-of-the-art methods. ....

Adaptation Models , Domain Adaptation , Eature Disentanglement , Feature Extraction , Intelligent Surveillance , Person Re Identification , Task Analysis ,

BBCNEWS BBC News June 4, 2024 11:00:00

Developed countries promised to double their contributions between now and 2025. we need a road map. we need a road map for implementation also, we need to recognise this is a first stage, adaptation resources must exceed 300 million per year by 2030, half of the climate change funding must be focused on adaptation. international financial institutions and global banks need to change economic models and they need to do their share. this is to boost adaptation models and they must serve as tools to leave more financial resources to serve efforts to fight climate change. countries and communities must have access to that funding which must be funnelled ....

Road Map , Climate Change Funding , Adaptation Resources , 300 Million , International Financial Institutions , Adaptation Models , Climate Change ,