Physicochemical Parameters, Copepods, Shannon Index, Equitability Index, Principal Component Analysis, Redundancy Analysis ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

I’ve been studying the early history of electricity’s discovery as a map for our current discovery of artificial intelligence. The smartest people alive back then, including Isaac Newton, who may have ...

Varland Plating’s plant developed homegrown historian software, visualizes and contextualizes data, and performs customized ...

This guide was reviewed by a Business News Daily editor to ensure it provides comprehensive and accurate information to aid your buying decision. As technologies that capture and analyze data ...

About 60% of all outstanding mortgages in Canada are expected to renew in 2025 or 2026. In this note, we provide an updated assessment of how mortgage payments may change for these households at ...

Server, an open-source tool designed to make public data more accessible to AI systems. For developers, this means a ...

An inherent principle of publication is that others should be able to replicate and build upon the authors' published claims. A condition of publication in a Nature Portfolio journal is that authors ...