RESEARCH PROGRESS ON MACHINE LEARNING ASSISTED NON-TARGETED SCREENING STRATEGY FOR IDENTIFICATION OF FENTANYL ANALOGS

Research Progress on Machine Learning Assisted Non-Targeted Screening Strategy for Identification of Fentanyl Analogs

In recent years, the types and quantities of fentanyl analogs have increased rapidly.It has become a hotspot in the illicit drug control field of how to quickly identify novel fentanyl analogs and to shorten the blank regulatory period.At present, the identification methods of fentanyl analogs that have been developed mostly rely on reference mater

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Advanced computing to support urban climate neutrality

Abstract Background Achieving climate neutrality in cities is a major challenge, especially in light of rapid urbanization and the urgent need to combat climate change.This paper explores the role of advanced computational methods in the transition of cities to climate neutrality, with a focus on energy supply and transportation systems.Central to

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