Correction to: Dysbiotic microbiome variation in colorectal cancer patients is linked to lifestyles and metabolic diseases

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

methods salience efficiency quantization language slim-llm llms

Prediction Models for Suicide Attempts among Adolescents Using Machine Learning Techniques

using data ml prediction 0 suicide adolescents

Lung cancer risk and exposure to air pollution: a multicenter North China case–control study involving 14604 subjects

lung cancer case–control air pollution never-smokers nomogram model controls lung-related 14604 subjects north polluted consistent smokers quit exposure lung cancer risk air people factor smoking pollution study history