An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps ...

The EBITDA of the company declined sharply to ₹21 crore, much lower than the ₹306.42 crore it clocked in the March quarter of the last financial year.

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

However, existing Heterogeneous Graph Neural Networks (HGNN) primarily focus on HGs with single ... Heterogeneous Graph model (SF-BMHG), aimed at solving the challenges of multiple edge relationships ...

Chainlink's integration of Pi Network into its Data Streams expands access to real ... The approach combines off-chain aggregation with on-chain verification for scalable, fast, and reliable ...

Here, we showcase how our graph neural network (GNN)-based implicit solvent (GNNIS ... continuum-based implicit solvent models and supports our strategy to train multiple solvents in a joint manner.

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Multiple chains have been affected, resulting in big-name brands like Wetherspoons and Frankie & Benny's closing branches. Some chains have not survived, Byron Burger fell into administration last ...

As the pharmaceutical industry continues to evolve, there’s a growing recognition of the importance of multi-enterprise supply chain networks. They connect multiple supply chain partners, including ...