Aviation’s climate impact extends beyond carbon dioxide emissions. A new study from Chalmers University of Technology and the University of Gothenburg, Sweden, and Imperial College, UK, reveals that contrails can represent a significant portion of aviation’s overall climate cost. The study also shows that climate impact can be reduced by optimising flight routes.

In a new article in Nature Communications, The social costs of aviation CO₂ and contrail cirrus, the researchers demonstrate that both CO₂ emissions and contrail formation contribute materially to aviation’s climate impact – and that the associated societal costs differ substantially depending on weather patterns and routing decisions. They find that, at the global level, contrails account for about 15 percent of aviation’s climate impact when measured in economic terms.

Researchers in China developed a 'one-pot' Cas12i3/Cas13d-based assay, designated OBServe.v2, to discriminate between ASFV genotype I and II. This method demonstrates complete concordance with the PCR-sequencing method within 45 min.

Ultra-light, super-flexible, highly insulating: An aluminum-coated polymer film is used to shield satellites from temperature extremes. Researchers at Empa have succeeded in making the material even more resistant by implementing an ultra-thin intermediate layer. The technology could in future also be used to improve flexible electronics and medical sensors.

Respiratory viruses that have diverse strains and mutate rapidly, such as influenza and COVID-19, are difficult to block perfectly with vaccines alone. To solve this problem, KAIST's research team has successfully developed a nasal (intranasal) antiviral platform using AI technology to overcome the existing limitations of interferon-lambda treatments—namely, being "weak against heat and disappearing quickly from the nasal mucosa."

KAIST announced on December 15th that a joint research team—consisting of Professor Ho Min Ktim and Professor Hyun Jung Chung from the Department of Biological Sciences, and Professor Ji Eun Oh from the Graduate School of Medical Science and Engineering used AI to stably redesign the interferon-lambda protein and combined it with a delivery technology that ensures effective diffusion and long-term retention in the nasal mucosa, thereby implementing a universal prevention technology for various respiratory viruses.