As satellite launches surge toward 1.7 million by 2030, astronomers and space companies are turning to multilateralism to mitigate satellite brightness and radio interference and keep astronomy alive.
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As satellite launches surge toward 1.7 million by 2030, astronomers and space companies are turning to multilateralism to mitigate satellite brightness and radio interference and keep astronomy alive.
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As satellite launches surge toward 1.7 million by 2030, astronomers and space companies are turning to multilateralism to mitigate satellite brightness and radio interference and keep astronomy alive.
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Jupiter reaches opposition, the point in its orbit where the planet is opposite the sun in our sky. This brings the gas giant to its closest of the year, making it bright and easy to spot in the evening eastern…

The oldest fossilised remains of complex animals appear suddenly in the fossil record, and as if from nowhere, in rocks that are 538 million years old.
The very oldest of these are simple fossilised marks (called Treptichnus) made by something…
Newswise — Astronomers using the U.S. National Science Foundation National Radio Astronomy Observatory (NSF NRAO) instruments Atacama Large Millimeter/submillimeter Array (ALMA) and, the U.S. National Science…

Scientists at the University of Kansas Biodiversity Institute and Natural History Museum recently uncovered a mistake that dates back decades involving a poison frog specimen from Peru. The frog had been incorrectly identified and designated as a…

Scientists at the University of Kansas Biodiversity Institute and Natural History Museum recently uncovered a mistake that dates back decades involving a poison frog specimen from Peru. The frog had been incorrectly identified and designated as a…

A groundbreaking new study from Bar-Ilan University shows that one of sleep’s core functions originated hundreds of millions of years ago in jellyfish and sea anemones, among the earliest creatures with nervous systems. By tracing…
Jabbar, R., Zai, S., Jawaid, M. & Ahsan, M. Investigating Deep Learning Methods for Detecting Lung Adenocarcinoma on the TCIA Dataset (2023).
Asatani, N., Kamiya, T., Mabu, S. & Kido, S. Classification of respiratory sounds using improved…