It’s a mystery why TOI-561 b’s blanket of gases hasn’t boiled off.
Some cycads warm up their reproductive organs to attract specially equipped pollinating beetles in the dark.
A unique archaeological site at Pompeii, Italy, reveals the secrets of peculiarly durable Roman building materials.
Nuclear fusion. People on Mars. Artificial general intelligence. These are just some of the advances that could come by the mid-century mark.
The United States tops the remaining areas in an assessment of 74 technologies.
Researchers are devising ways to make new machines face off, without the hype.
A database of 2.75 billion buildings could help scientists to monitor urban planning, climate change, disaster risks and even corruption.
A study of the effects of COVID-19 policies highlights the underexplored impacts of commercial cooking on air quality.
Emerald’ or ‘Paris’ green was once a highly popular pigment among painters, but the chemistry behind its slow decay over time has been unclear.
Studying trapped antimatter could help to explain why our world is so full of matter.
A specially trained algorithm could aid the search for biological activity both on the early Earth and on other worlds.
Biologically inspired electronic neurons could boost the efficiency of artificial-intelligence systems.
People who rack up most of their daily steps in walks lasting less than five minutes have a higher risk of cardiovascular disease than do those who amass their steps in big blocks.
Modelling shows how the infant Universe might have stayed warm and dense during its primoridal expansion.
The moisture emitted by forests travels across national borders to provide precipitation to far-away fields.
Ice coverage is shrinking on Heard Island — a UNESCO World Heritage Site and a haven of biodiversity.
A nanoscopic machine transforms a molecular chain into interlocking loops.
In creatures that walk on land, a protein called Slurp1 protects skin cells from stress.
Experiments identify a bacterium as the cause of sea-star wasting disease, which has devastated populations along the western coast of North America.
Pollution emitted by fossil-fuel usage in Asia influences sea-ice coverage in Antarctica.
Data from a South Pole observatory show that the fraction of protons in ultrahigh-energy cosmic rays is lower than expected.
Genetic analysis helps to reveal why flying foxes can measure almost 2 metres from wingtip to wingtip.
A study in mice finds that a high-sucrose diet during youth has long-term implications for learning and brain connectivity.
A-bomb architect “was no Einstein,” historian says, but he did Nobel-level work on black holes
For more than 50 years, scientists have been trying to understand the relationship between DNA sequence, gene-expression phenotype and fitness to decipher principles of gene regulatory evolution. In this week’s issue, Eeshit Dhaval Vaishnav, Carl de Boer, Aviv Regev and their colleagues present a framework for understanding and engineering regulatory DNA sequences that takes a step towards this goal. The researchers built this framework around an ‘oracle’ they developed using a deep neural network model that predicts gene expression given a promoter DNA sequence. The neural network was trained using the expression measurements for tens of millions of promoter sequences. The result was an AI oracle that predicts expression from sequence well enough to study the evolutionary history and future evolvability of regulatory DNA sequences, as well as to design regulatory DNA sequences for synthetic biology applications. The cover offers a visual representation of the evolutionary properties of sequences at the extremes of the evolvability spectrum.
Arizona has what researchers call “the climate of tomorrow, today.” Scientists are using a 30-ton robotic field scanner in the state to study plant genetics and hopefully develop stress-resilient crops.
Photo: Jesse Rieser for The Wall Street Journal
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