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Musashi-mediated post-transcriptional mechanisms regulate glucuronoxylan modification and secondary cell wall formation in the supportive fibre cells of stem in plants.

Coevolution analysis suggests that a DNA methylation-related role for the nucleosome remodeling ATPase HELLS and its activator CDCA7 was broadly inherited from the last eukaryotic common ancestor.

Structured illumination microscopy reveals that the hierarchical development of complex honeycomb-like nanostructures within the lumen of some swallowtail butterfly wing scales proceeds via a novel reorganization of disintegrating F-actin bundles.

Intermittent fasting orchestrates molecular shifts, yielding cardiovascular improvements, revealing novel cardioprotective mechanisms, and suggesting innovative pharmacological strategies for cardiovascular disease prevention and treatment.

Integrating machine learning (ML) models with selected features improved the prediction accuracy of diabetic kidney disease compared to traditional logistic regression models using established features, revealing potential new markers and supporting the use of ML techniques in epidemiological studies.

Dimensions for reinforcement learning reduced by dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components.

Surveying Mycobacterium tuberculosis tRNA modification leads to identification of a modification promoting Mtb pathogenesis.

An interpretable machine learning approach can recapitulate the molecular features associated to immune protein-protein binding and leverage them for the prediction of immune response specificity.

Fungal hyphae constantly undergo signal oscillations, comparable to a cell 'monologue' until they meet another hypha with which they then coordinate signal oscillations and transit into a cell-to-cell dialogue.