Zientzia hedabideetan

Quanta

[:es]The New Thermodynamic Understanding of Clocks[:]

Studies of the simplest possible clocks have revealed their fundamental limitations — as well as insights into the nature of time itself.
Next

[:es] La gran biosfera artificial de Arizona busca una segunda oportunidad [:]

Treinta años después del fracaso de “Biosfera 2”, un grupo de investigadores reutiliza sus instalaciones para intentar reproducir una nueva “nave Tierra” que ayude a la futura colonización del espacio.
Elhuyar

[:es]Ellen Swallow: zientzia, gizartea hobetzeko[:]

1879, Poughkeepsie, New York. “Emakumeok kimika apur bat jakin behar dugu, autodefentsa gisa”, esan zuen, irmo. Hirurehun bat emakume aurrean. “Emakumeoi dagokigu eraldaketa burutzea. Ez da lan samurra izango. Ezjakintasunarekin […]
La Razón

[:es]Más de la mitad de los ríos de la Tierra son estacionales[:]

Una nueva investigación sugiere que la mayoría de los cursos de agua de nuestro planeta se secan al menos un día al año.
Nature News

[:es]What’s next for lab-grown human embryos?[:]

Researchers are now permitted to grow human embryos in the lab for longer than 14 days. Here’s what they could learn.
Science

[:es]Why many scientists say it’s unlikely that SARS-CoV-2 originated from a “lab leak”[:]

During the first year of the COVID-19 pandemic, the “lab leak” theory gained little traction. Sure, U.S. President Donald Trump suggested SARS-CoV-2 originated in a laboratory in Wuhan, China—and called […]
Science Alert

[:es] These Australian Ducks Can Learn to Swear Like People, And Biologists Are Excited [:]

Acquiring vocalizations by learning them from other individuals is only known from a limited number of animal groups
Hipertextual

[:es] El Ingenuity supera todas las expectativas y recibe una actualización para seguir con su misión en Marte [:]

El helicóptero Ingenuity ha volado ya 12 veces, a pesar de que solo estaban previstas 5. Y no parece que vaya a parar pronto.
Quanta

[:es]How Computationally Complex Is a Single Neuron?[:]

Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells.