When compared to membrane affinity binding columns and ultracentrifugation, size exclusion chromatography isolation of extracellular vesicles (EVs) from bronchoalveolar lavage fluid yields the lowest contaminating free protein, highest nucleic acid content, and has similar yield of EVs while maintaining EV structure and function for downstream applications.

There is a substantial potential to use LLMs as a supplementary grading tools, particularly in high-resource languages, but they do not yet match the consistency or interpretative depth of human expert evaluators.

This study proposes PEG-Prompt, a Paul-Elder critical thinking-guided prompt framework for LLM-based automated course project report (CPR) assessment. It evaluates CPRs across six dimensions. Experiments on the PEG-CPR dataset show PEG-Prompt significantly improves score alignment with human raters, especially when combined with key content extraction and few-shot examples.

This pilot study explores the effects of NAO robot-assisted classrooms on autistic students’ classroom performance. Results show NAO significantly improves online attention, communication, interaction assessment, and emotional states. Most students exhibit better engagement and stability, supporting NAO as an effective tool for autism spectrum disorder (ASD) group classroom intervention.

Structures of the human M-channel reveal a remarkably flexible assembly and the molecular basis for its subthreshold activation, enabling the design of a highly selective activator for precise epilepsy therapy.

A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial transcriptomics and proteomics to map intra-tumor heterogeneity. DVSTP predicts molecular profiles from routine pathology slides, making spatial multi-omics more accessible. Whole–tumor 3D reconstruction reveals that SRSF6 drives immune exclusion and is associated with poor clinical outcomes.