Science

archive link

We knew from prior analyses that a distant asteroid sampled in 2020 carried all but one of the molecules needed to kick-start life, and researchers have just found the missing ingredient: sugar

From the outside, it looks like any ordinary nappy – one of the tens of billions that end up in landfill each year. But the Hiro diaper comes with an unusual companion: a sachet of freeze-dried fungi to sprinkle over a baby’s gloopy excretions.

The idea is to kickstart a catalytic process that could see the entire nappy – plastics and all – broken down into compost within a year.

Hiro was one of several innovations recognised this week by the Future is Fungi Awards, which honour groundbreaking innovations using fungi to tackle some of the planet’s most urgent environmental challenges.

Several forces are converging to put fungi in the spotlight, said Prof Andrew Adamatzky at the University of the West of England in Bristol, who is investigating whether fungi could be incorporated into unconventional computing circuits.

Hello everyone 🌿

I’m applying to the Foresight Institute — AI for Science program, and I need one neutral reference contact (full name and email) — not a recommendation, not a letter, and no endorsement of the content.

The role is minimal: If the committee decides to reach out (most likely they won’t), they may ask only:

whether you have seen or read the work;

whether the application appears serious.

I am developing an interdisciplinary model called ICT (Information–Consciousness–Temporality).

At the core of the model: — dI/dT as a formal dynamic of consciousness, — I_fixed as a model of material fixation of informational states.

Discussion and preprint: https://www.academia.edu/s/8924eff666

PDF: https://www.academia.edu/144946662/The_Conceptual_Model_of_the_Essence_of_Information_Temporal_Interaction_of_Consciousness_and_Matter_The_ICT_Model_by_Baturo_Elion_

DOI: https://zenodo.org/records/17584783 Docx format

If any researchers here are willing to serve as such a neutral contact, I would be very grateful. It requires zero time from you other than possibly confirming briefly by email.

Thank you to everyone who responds.

Today all that’s left of the ancient city of Semiyarka are a few low earthen mounds and some scattered artifacts, nearly hidden beneath the waving grasses of the Kazakh Steppe, a vast swath of grassland that stretches across northern Kazakhstan and into Russia. But recent surveys and excavations reveal that 3,500 years ago, this empty plain was a bustling city with a thriving metalworking industry, where nomadic herders and traders might have mingled with settled metalworkers and merchants.

University College of London archaeologist Miljana Radivojevic and her colleagues recently mapped the site with drones and geophysical surveys (like ground-penetrating radar, for example), tracing the layout of a 140-hectare city on the steppe in what’s now Kazakhstan.

The Bronze Age city once boasted rows of houses built on earthworks, a large central building, and a neighborhood of workshops where artisans smelted and cast bronze. From its windswept promontory, it held a commanding view of a narrow point in the Irtysh River valley, a strategic location that may have offered the city “control over movement along the river and valley bottom,” according to Radivojevic and her colleagues. That view inspired archaeologists’ name for the city: Semiyarka, or City of Seven Ravines.

Archaeologists have known about the site since the early 2000s, when the US Department of Defense declassified a set of photographs taken by its Corona spy satellite in 1972, when Kazakhstan was a part of the Soviet Union and the US was eager to see what was happening behind the Iron Curtain. Those photos captured the outlines of Semiyarka’s kilometer-long earthworks, but the recent surveys reveal that the Bronze Age city was much larger and much more interesting than anyone realized.

Hi everyone,

I’m working on a compact theoretical framework (ICT Model) that tries to link information dynamics, temporal structure, and conscious processes using minimal assumptions.

The central idea is to treat the rate of informational change (dI/dT) as a meaningful physical quantity. In this approach:

consciousness ≈ local dI/dT

matter = stabilized information

energy = interaction between changing and fixed informational states

The goal is to provide a simple shared language connecting information theory, physics, phenomenology, and models of agency.

A full preprint (with equations, phenomenology and testable criteria) is here:

Academia discussion: https://www.academia.edu/s/8924eff666#comment_1478583

Open-access preprint on Zenodo: https://doi.org/10.5281/zenodo.17584782

If anyone here is working in theoretical physics, information theory, philosophy of mind, or cognitive science, I’d appreciate any feedback or critique.

Euclid peers through a dark cloud’s dusty veil

This shimmering view of interstellar gas and dust was captured by the European Space Agency’s Euclid space telescope. The nebula is part of a so-called dark cloud, named LDN 1641. It sits at about 1300 light-years from Earth, within a sprawling complex of dusty gas clouds where stars are being formed, in the constellation of Orion.

In visible light this region of the sky appears mostly dark, with few stars dotting what seems to be a primarily empty background. But, by imaging the cloud with the infrared eyes of its NISP instrument, Euclid reveals a multitude of stars shining through a tapestry of dust and gas.

This is because dust grains block visible light from stars behind them very efficiently but are much less effective at dimming near-infrared light.

The nebula is teeming with very young stars. Some of the objects embedded in the dusty surroundings spew out material – a sign of stars being formed. The outflows appear as magenta-coloured spots and coils when zooming into the image.

In the upper left, obstruction by dust diminishes and the view opens toward the more distant Universe with many galaxies lurking beyond the stars of our own galaxy.

Euclid observed this region of the sky in September 2023 to fine-tune its pointing ability. For the guiding tests, the operations team required a field of view where only a few stars would be detectable in visible light; this portion of LDN 1641 proved to be the most suitable area of the sky accessible to Euclid at the time.

The tests were successful and helped ensure that Euclid could point reliably and very precisely in the desired direction. This ability is key to delivering extremely sharp astronomical images of large patches of sky, at a fast pace. The data for this image, which is about 0.64 square degrees in size – or more than three times the area of the full Moon on the sky  were collected in just under five hours of observations.

Euclid is surveying the sky to create the most extensive 3D map of the extragalactic Universe ever made. Its main objective is to enable scientists to pin down the mysterious nature of dark matter and dark energy.

Yet the mission will also deliver a trove of observations of interesting regions in our galaxy, like this one, as well as countless detailed images of other galaxies, offering new avenues of investigation in many different fields of astronomy.

[Technical details : The colour image was created from NISP observations in the Y-, J- and H-bands, rendered blue, green and red, respectively. The size of the image is 11 232 x 12 576 pixels. The jagged boundary is due to the gaps in the array of NISP’s sixteen detectors, and the way the observations were taken with small spatial offsets and rotations to create the whole image. This is a common effect in astronomical wide-field images.]

[Image description: The focus of the image is a portion of LDN 1641, an interstellar nebula in the constellation of Orion. In this view, a deep-black background is sprinkled with a multitude of dots (stars) of different sizes and shades of bright white. Across the sea of stars, a web of fuzzy tendrils and ribbons in varying shades of orange and brown rises from the bottom of the image towards the top-right like thin coils of smoke.]

♻️ @esa

U.S. science always suffers during government shutdowns. Funding lapses send government scientists home without pay. Federal agencies suspend new grant opportunities, place expert review panels on hold, and stop collecting and analyzing critical public datasets that tell us about the economy, the environment and public health.

In 2025, the stakes are higher than in past shutdowns.

This shutdown arrives at a time of massive upheaval to American science and innovation driven by President Donald Trump’s ongoing attempts to extend executive power and assert political control of scientific institutions.

With the shutdown entering its fifth week, and with no end in sight, the Trump administration’s rapid and contentious changes to federal research policy are rewriting the social contract between the U.S. government and research universities – where the government provides funding and autonomy in exchange for the promise of downstream public benefits.

It's a plot device beloved by science fiction: our entire universe might be a simulation running on some advanced civilization's supercomputer. But new research from UBC Okanagan has mathematically proven this isn't just unlikely—it's impossible.

Dr. Mir Faizal, Adjunct Professor with UBC Okanagan's Irving K. Barber Faculty of Science, and his international colleagues, Drs. Lawrence M. Krauss, Arshid Shabir and Francesco Marino have shown that the fundamental nature of reality operates in a way that no computer could ever simulate.

Their findings, published in the Journal of Holography Applications in Physics, go beyond simply suggesting that we're not living in a simulated world like The Matrix. They prove something far more profound: the universe is built on a type of understanding that exists beyond the reach of any algorithm.

"It has been suggested that the universe could be simulated. If such a simulation were possible, the simulated universe could itself give rise to life, which in turn might create its own simulation. This recursive possibility makes it seem highly unlikely that our universe is the original one, rather than a simulation nested within another simulation," says Dr. Faizal. "This idea was once thought to lie beyond the reach of scientific inquiry. However, our recent research has demonstrated that it can, in fact, be scientifically addressed."

Terrible news for people in a polyurethanecule.

You’ll often hear plastic pollution referred to as a problem. But the reality is that it’s multiple problems. Depending on the properties we need, we form plastics out of different polymers, each of which is held together by a distinct type of chemical bond. So the method we use to break down one type of polymer may be incompatible with the chemistry of another.

That problem is why, even though we’ve had success finding enzymes that break down common plastics like polyesters and PET, they’re only partial solutions to plastic waste. However, researchers aren’t sitting back and basking in the triumph of partial solutions, and they’ve now got very sophisticated protein design tools to help them out.

That’s the story behind a completely new enzyme that researchers developed to break down polyurethane, the polymer commonly used to make foam cushioning, among other things. The new enzyme is compatible with an industrial-style recycling process that breaks the polymer down into its basic building blocks, which can be used to form fresh polyurethane.

(I generally respect the hell out of Timmer's writing, but opening consecutive grafs with "that" is lazy.)