Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence.

This study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. Finally, the driver-state-response (DSR) model is used to evaluate the carbon audit of the power industry and comprehensively analyze the effect of carbon emission reduction.

Fatalism and metaphor in Confucianism: A qualitative study of barriers to genetic testing among first-degree relatives of hereditary cancer patients from China.

Objective: Despite the benefits, the rate of genetic testing among first-degree relatives (FDRs; parents, children, and siblings) remains low, and the barriers to undergoing testing among FDRs in China are not clear. We explored the reasons why FDRs refused genetic testing.

Methods: Semi-structured face-to-face interviews were conducted with 22 patients and 27 FDRs.