Green growth transition and carbon neutrality nexus: A comparative study on the top carbon emitters.

This is a comparative study that investigates the role of green growth, green technological innovations, agricultural eco-efficiency and trade openness on carbon neutrality in the top three carbon emitting countries, namely, China, the USA and India, using panel quantile regression with quarterly data for the time period of 2010-2022. The results reveal different findings which have important policy implications. Firstly, carbon emissions vs green growth and carbon emissions vs green technological innovation have a significant U-shaped relationship, which indicate that when green growth and green technological innovations increases, the rate of carbon emissions continues to decline up to a threshold point and start to increase thereafter.

Methylation Mesa define functional regulatory elements for targeted gene activation.

DNA methylation and mRNA expression correlations are often presented with inconsistent evidence supporting causal regulation. We hypothesized that causal regulatory methylation elements would exhibit heightened demethylation sensitivity. To investigate, we analyzed 20 whole-genomic bisulfite sequenced samples before and after demethylation and identified narrow-width (45-294 bp) elements within a short plateau, termed Methylation Mesa (MM).

The interconnectedness of energy consumption with economic growth: A granger causality analysis.

In considering today's energy challenges, the link between the usage of renewable and non-renewable energy sources and economic growth has gained substantial policy attention. This research examines the complex relationship between these three variables to understand how non-renewable energy consumption and renewable energy consumption interact and what that means for economic growth. This study uses the Granger causality approach to explore the relationships between non-renewable energy consumption, renewable energy consumption, and economic development.

Druglike Molecules Binding to Large Membrane Proteins: Absolute Binding Free Energy Computation.

In this research, we employed the alchemical double-decoupling method alongside restraining potentials, coupled with the FEPMD method, to ascertain the standard binding free energy of a drug-like molecule termed BHQ and three analogous compounds engineered with progressive addition of bulky para-alkyl groups binding to SERCA (Ca-ATPase of skeletal muscle sarcoplasmic reticulum). Integral transmembrane proteins represent crucial drug targets in numerous therapeutic interventions, presenting computational challenges due to their considerable system sizes. Our approach integrated the generalized born potential method and the spherical solvent boundary potential method, allowing us to explicitly focus on the active binding site while treating the remainder of the system implicitly.