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Science News for November 3, 2024


Researchers develop reinforcement learning-based enhanced sampling method for studying dynamic systems

A new reinforcement learning-based enhanced sampling method, Adaptive Collective Variables Generator (Adaptive CVgen), has been developed to capture the dynamic evolution of microscopic systems. The method offers precise and localized views of system evolution, detecting minute local changes in protein folding and chemical reactions.

SourceChinese Academy of Sciences Headquarters·JournalProceedings of the National Academy of Sciences·DateNov 3, 2024

Single-cell RNA-seq reveals the transcriptional program underlying tumor progression and metastasis in neuroblastoma

A recent study using single-cell RNA sequencing has identified a 'starter' subpopulation of tumor cells responsible for initiating metastasis in neuroblastoma. The research also uncovered a 150-gene signature associated with poor prognosis, which may inform future therapeutic strategies.

SourceHigher Education Press·JournalFrontiers of Medicine·TypeExperimental study·DateNov 3, 2024

How to simultaneously achieve privacy-preservation, byzantine-resilience and verifiability in federated learning?

A new research has proposed a Byzantine-Resilient and Verifiable Aggregation for Differentially Private Federated Learning, addressing the limitations of existing protocols. The approach achieves privacy-preservation, byzantine-resilience and verifiability through three primary methods: DPFA, DPLoss, and DPVeri.

SourceHigher Education Press·JournalFrontiers of Computer Science·TypeExperimental study·DateNov 3, 2024