LiteParse pairs fast text parsing with a two-stage agent pattern, falling back to multimodal models when tables or charts ...

A common antidepressant detected in rivers and streams worldwide is disrupting how fish learn, and the impact is strikingly ...

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...

The development of glmSMA represents a valuable advancement in spatial transcriptomics analysis, offering a mathematically robust regression-based approach that achieves higher-resolution mapping of ...

In Soo Jin Hahn’s short life, over a dozen reports were made to Washington’s Child Protective Services from people who were concerned about her family. Doctors, a nurse, a dietitian, a school ...

Marine litter is a globally recognized issue that impacts the environment and has significant negative effects on both human health and socio-economic activities. Mainly composed of plastic items, ...

Neuroadaptive technologies are a type of passive Brain-computer interface (pBCI) that aim to incorporate implicit user-state information into human-machine interactions by monitoring ...

This study addresses a critical challenge in spatial multi-omics: the effective integration of heterogeneous molecular modalities within complex tissue environments. By introducing SpaDDM, a ...

This important work uses an innovative approach to understand similarities between haemodynamic and electrophysiological activity of the human brain, and how the brain might carry out multiple ...