Regulations finalized by the Environmental Protection Agency in 2024 could cut emissions from the power sector by 51% over 2022 levels, compared to only 26% without the rules, according to a new Princeton analysis. The study helps identify the likely effects of current regulations, highlights the impact of potential repeal on U.S. emissions, and quantifies the overall efficiency of emissions reductions achieved by the current rules.

The global race toward carbon neutrality has gained momentum, yet the gap between promises and execution remains stark.

Dendritic structures that emerge during the growth of thin films are a major obstacle in large-area fabrication, a key step towards commercialization. However, current methods of studying dendrites involve crude visual inspection and subjective analysis. Moreover, growth optimization methods for controlling dendrite formation require extensive trial and error. Now, researchers have developed a new AI model that incorporates topology analysis and free energy to reveal the specific conditions and mechanisms that drive dendrite branching.

Sensors attached to animals gather valuable data to track and mitigate the human influence on marine life. The Kobe University review paper emphasizes the importance of integrating data from various sources and advocates for an “Internet of Animals” based on open access and shared standards.

The EPA’s network consistently failed to capture air quality in communities of color across six major pollutants. The monitors are the key data source driving decisions about pollution reduction, urban planning and public health initiatives. The data may misrepresent pollution concentrations, leaving marginalized groups at risk. 

It’s time for researchers to reconsider the current paradigm of cancer as a genetic disease, argued Sui Huang from the Institute for Systems Biology, USA, and colleagues in a new essay published March 18^th in the open-access journal PLOS Biology.