Research Communities by Springer Nature

This project introduces a system, SECS, that for the first time is able to work on raw spectroscopic data; data that contains impurities, solvents, experimental artefacts.

aicomputer-sciencedata-sciencemachine-learning

RPCF-AMR proposes a shift in antimicrobial resistance governance from reactive surveillance to predictive, AI-driven convergence framework. It integrates genomic microbiome clinical and environmental data within a One Health system for early detection, forecasting, and precision policy control.

biologyinfectious-diseasemedicinemicrobiologypublic-health

The complexity of our models using quantum probability, which encompass a vast array of variables, parameters, sets, and collections, necessitated a systematic approach to symbol allocation for enhanced mathematical readability. Hence, the Parsy system, sometimes more insightful than the alphabet.

mathematical-physicsmathematics

What if the biggest barrier to health information is not access, education, or healthcare services, but an invisible barrier that often goes unnoticed? Drawing on fieldwork among women in Aligarh, India, this article explores how deeply rooted social and cultural factors can shape health literacy.

Asem Salama
1d ago

The Great Pyramid of Khufu has naturally survived millennia of seismic activity due to its immense mass, broad base, low center of gravity, and a structural frequency mismatch that prevents destructive seismic wave amplification

civil-engineeringearth-scienceengineeringseismology

Say methane and most people think of cows, yet nearly half of all methane is produced by microbes in freshwaters. While we know in a simple sense that microbes are stimulated by warming, it is far more challenging to determine how global warming will affect the release of methane in the long term.

biodiversityclimate-scienceenvironment

With this cross-journal Collection, the editors invite submissions that advance our understanding of Mercury’s magnetosphere and exosphere, particularly through findings from space missions, as well as relevant theoretical and modelling studies. Submissions are encouraged by 20 February 2027.

astronomyplanetary-sciencespace-exploration

Natural product discovery is now bottlenecked by connecting complex data instead of acquiring it. We show how integrating protein language models and mass spectrometry workflows can prioritise microbial producers of valuable natural products beyond standard reference-driven approaches.

aibiochemistrychemistrymachine-learningnlp
research.ioresearch.io

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