Does cyclical innovation in environmental-related technologies make knowledge-based economies carbon neutral?

The knowledge-based economies have reacted by enacting stringent legislation and encouraging innovation in environmental-related technologies (IERTs) across organizations, such as academic institutions. Although previous research continues to support green innovation as a pro-cyclical concept, the irregular effect of IERT dynamics on COe in knowledge-based economies has not yet been studied. The paper looks at the cyclical nexus between IERT and COe in 37 knowledge-based economies using panel data from 1990 to 2019.

Fully connected neural network for virtual monochromatic imaging in spectral computed tomography.

Spectral computed tomography (SCT) has advantages in multienergy material decomposition for material discrimination and quantitative image reconstruction. However, due to the nonideal physical effects of photon counting detectors, including charge sharing, pulse pileup and -escape, it is difficult to obtain precise system models in practical SCT systems. Serious spectral distortion is unavoidable, which introduces error into the decomposition model and affects material decomposition accuracy.