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“This work shows that carbon capture and conversion do not need to be treated as separate steps. By integrating both functions into a single electrode, we demonstrate a simpler pathway for CO 2 ...
Abstract: Knowledge graph (KG) contrastive learning (CL) has garnered significant attention in the realm of recommendation systems. However, existing models often employ random masking for graph ...
As global carbon emissions continue to rise, the development of efficient and sustainable artificial photosynthesis systems has become a critical challenge. A promising strategy involves coupling ...
Australia-based graphene producer First Graphene (FGR) has secured exclusive global graphene carbon paste production and sales rights with Bomen, New South Wales (NSW)-based perovskite cell developer ...
Takanori Takebe is on a mission to find out if people can breathe through their butts. As a medical doctor and stem cell biologist, Takebe spends most of his time trying to develop lab-made livers to ...
Selecting the right smartphone operating system (OS) is a pivotal decision that directly influences your overall user experience. The interface, features, and performance of an OS shape how you ...
An engineered protein that acts like a molecular sponge has the potential to change how carbon monoxide poisoning is treated, chasing down CO molecules in the bloodstream and helping the body flush ...
Over 300 million years ago, Earth experienced powerful bursts of carbon dioxide from natural sources—like massive volcanic eruptions—that triggered dramatic drops in ocean oxygen levels. These ancient ...
A new study of sediment cores shows a series of massive emissions of carbon dioxide over a 20 million year period about 300 million years ago. These CO2 emissions happened at the same time as drops in ...
Methods to enhance the ocean's uptake of carbon dioxide (CO₂) are being explored to help tackle the climate crisis. However, some of these approaches could significantly exacerbate ocean deoxygenation ...
Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model ...
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