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21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables
arXiv:2606.00219v1 Announce Type: cross Abstract: We are witnessing a surge in observations of the cosmic dawn (CD) and epoch of reionisation (EoR), driving an increasing demand for fast and robust theoretical interpretation frameworks. In response, machine learning (ML), and emulation in particular, has emerged as a powerful approach to accelerate and enhance inference pipelines. In this work, we present 21cmEMUv3, an emulator trained on 21cmFASTv3 simulations that model both atomically and...
Negative HIV serology in perinatally infected children after early treatment and viral suppression: an exploratory analysis of immune correlates
Undetectable HIV-specific antibodies in early-treated children with confirmed infection correlate with low viral reservoir and may identify those eligible for future HIV remission strategies. The neonatal immune system's unique characteristics, combined with impairments resulting from exposure to maternal HIV and antiretroviral treatment (ART), may affect antibody responses to HIV. Yet immune competence remains understudied in the context of negative HIV serology.
New 'SMArT' platform makes gene editing in hematopoietic stem cells more efficient and safer
New 'SMArT' platform makes gene editing in hematopoietic stem cells more efficient and safer Sadie Harley Scientific Editor Robert Egan Associate Editor A team of researchers led by Luigi Naldini at the San Raffaele Telethon Institute for Gene Therapy (SR-Tiget) has developed a new strategy to significantly improve the precision and safety of CRISPR-Cas9 gene editing in human blood stem cells, potentially overcoming one of the major barriers limiting broader clinical application of genome...
LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition
arXiv:2605.24005v2 Announce Type: replace Abstract: The evolution of Large Language Model (LLM) reasoning is bottlenecked by the scarcity of high-quality process data. While self-alignment via endogenous rewards offers a solution, mining valid supervision faces three challenges: (1) Label Noise via Mimetic Bias, where rewards prioritize statistical likelihood over logical truth, creating a "correctness illusion" that masks compounding errors; (2) Coarse-Grained Supervision, where sparse...