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The linked article is about the development of a novel continuous emission monitoring (CEM) system for detecting methane leaks in the oil and gas industry. The system uses a combination of laser-based absorption spectroscopy and machine learning algorithms to accurately identify and quantify methane emissions. The researchers tested the system in a controlled environment and found that it could detect methane leaks with high sensitivity and precision, making it a promising tool for reducing the environmental impact of the oil and gas sector.