In this article, authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, ...

AI tools offer real added value for many users. With the right hardware, the tools can also be used offline without any ...

Single-molecule detection of post-translational modifications (PTMs) such as phosphorylation plays a crucial role in early diagnosis of diseases and therapeutics development. Although single-molecule ...

The Rays traded away one catcher and are bringing in another. Click over to MLB Trade Rumors to read more.

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to ...

Our approach enables robust long-term analysis of several hundreds of individual neurons, allowing quantification of neuronal dynamics and representational stability over time. Using this method, we ...

AI-enabled prediction of PCa using urine-based liquid biopsy demonstrates accurate, rapid, and accessible early cancer detection, with consistent performance across disease grades. This non-invasive ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization.

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First, we extracted 64 indicators from the dataset, identified the most relevant indicators using the entropy weight method, and established a bank efficiency evaluation formula to determine the ...