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ENTITY oxygen

oxygen

PulseAugur coverage of oxygen — every cluster mentioning oxygen across labs, papers, and developer communities, ranked by signal.

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TIER MIX · 90D
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SENTIMENT · 30D

3 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_245520 ·

    Transfer learning enhances models for electron-nucleus cross sections

    Researchers have developed data-driven models for electron-nucleus cross sections using transfer learning. These models, initially trained on carbon data, were fine-tuned for various other elements including helium, lit…

  2. TOOL · CL_213964 ·

    Hong Kong-built greenhouse gas tracker operates successfully on Tiangong space station

    A greenhouse gas monitoring instrument developed in Hong Kong is successfully operating aboard China's Tiangong space station. The Multi-Spectral Imaging Carbon Observatory (MUSICO), created by the Hong Kong University …

  3. TOOL · CL_195192 ·

    AI system optimizes oxygen levels for hospital patients

    An AI system has been developed to manage oxygen levels for hospital patients, aiming to keep them within a safer range. This technology has shown promise in stabilizing oxygen saturation, potentially leading to improve…

  4. COMMENTARY · CL_173456 ·

    Plants' CO₂ absorption impractical for indoor air quality

    While plants can theoretically absorb carbon dioxide produced by humans through photosynthesis, the practical application for indoor air quality is highly inefficient. The process requires significant energy input, and …

  5. TOOL · CL_161748 ·

    New GTM Tools Emerge for AI Agent Workflows

    New tools are emerging to support sales and marketing teams as they increasingly integrate AI agents into their workflows. These tools aim to replace traditional dashboard-based approaches with agent-native solutions th…

  6. TOOL · CL_156519 ·

    New TAIR method enhances neural network prediction of fluid properties

    Researchers have developed a new method called target-aligned input reparameterization (TAIR) to improve the accuracy of neural networks in predicting thermodynamic properties for supercritical combustion simulations. T…