Publications by authors named "Jinhang Xu"
Article Synopsis
- Researchers use nuclear magnetic resonance (NMR) spectra in the lab to verify synthesized products against target compounds, but traditional analysis methods are time-consuming and often inaccurate.
- To improve efficiency, a new binary classification model called MatCS was developed, utilizing advanced neural networks to directly predict the relationship between NMR spectra and molecular structures.
- MatCS demonstrated strong performance in distinguishing similar molecular structures, achieving an F1-score of 0.81 and an AUC value of 0.87, indicating its potential utility for structural verification in automated chemical synthesis. *
The study aims to test the nexus of green financing with renewable electricity generation and energy efficiency. The study used data envelopment analysis (DEA) technique during the year of 2016 to 2020 in developed and developing countries. The findings show that there is a 24% possibility of worldwide rise in expenditures in renewable energy through energy efficiency projects and probably could fall around 17% much further in 2017 and 2018.
View Article and Find Full Text PDFEnvironmental secondhand smoke exposure and policy assessment at five venues in Zhejiang Province, China.
Asia Pac J Public Health
November 2014
The objective of this study was to assess environmental secondhand smoke exposure and tobacco control policy at 5 venues. A cross-sectional study was conducted involving 134 settings and 2727 adults in Zhejiang, China. The results show that the proportions of venues that had complete smoking ban were as follows: health administrative organizations (71.
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