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XRISM’s first high-resolution spectrum of supernova remnant N132D offers unprecedented insights into the chemical and physical properties of the aftermath of a star’s explosion, enhancing our understanding of the universe’s elemental composition.

This image is the first high-resolution energy spectrum from the Resolve instrument on JAXA’s XRISM mission. It shows the energy of X-rays being produced within the remains of a massive star exploding in the nearby Large Magellanic Cloud, creating a ‘supernova remnant’ known as N132D. Spectra such as this one will enable scientists to measure the temperature and motion of X-ray emitting gas with unprecedented sensitivity and accuracy.

The spectrum indicates which chemical elements exist in N132D. XRISM can identify each element by measuring the specific energy of X-ray light that it emits (the label ‘keV’ on the x axis of the graph refers to kiloelectronvolts, a unit of energy). The ‘energy resolution’ of XRISM (its capability to distinguish X-ray light arriving with different amounts of energy) is incredible. The faint grey line shows the same spectrum from the XIS instrument on JAXA ’s Suzaku X-ray telescope (source). The energy resolution from XRISM is more than 40 times better over the energy range shown in this spectrum.

Understanding why we overeat unhealthy foods has been a long-standing mystery. While we know food’s strong power influences our choices, the precise circuitry in our brains behind this is unclear. The vagus nerve sends internal sensory information from the gut to the brain about the nutritional value of food. But, the molecular basis of the reward in the brain associated with what we eat has been incompletely understood.

A study published in Cell Metabolism, by a team from the Monell Chemical Senses Center, unravels the internal neural wiring, revealing separate fat and sugar craving pathways, as well as a concerning result: Combining these pathways overly triggers our desire to eat more than usual.

“Food is nature’s ultimate reinforcer,” said Monell scientist Guillaume de Lartigue, Ph.D., lead author of the study. “But why fats and sugars are particularly appealing has been a puzzle. We’ve now identified nerve cells in the gut rather than taste cells in the mouth are a key driver. We found that distinct gut–brain pathways are recruited by fats and sugars, explaining why that donut can be so irresistible.”

Anthrobots: These remarkable spheroid-shaped multicellular biological robots, or biobots, are not the products of advanced robotics laboratories but are instead born from the inherent potential of adult human somatic progenitor seed cells.

Advanced Science is a high-impact, interdisciplinary science journal covering materials science, physics, chemistry, medical and life sciences, and engineering.

Researchers may have identified the missing component in the chemistry of the Venusian clouds that would explain their color and splotchiness in the UV range, solving a long-standing mystery.

What are the clouds of Venus made of? Scientists know it’s mainly made of sulfuric acid droplets, with some water, chlorine, and iron. Their concentrations vary with height in the thick and hostile Venusian atmosphere. But until now they have been unable to identify the missing component that would explain the clouds’ patches and streaks, only visible in the UV range.

In a new study published in Science Advances, researchers from the University of Cambridge synthesised iron-bearing sulfate minerals that are stable under the harsh chemical conditions in the Venusian clouds.

Current technologies of bioinspired and neuromorphic electronics still lack a universal framework for integration into everyday life. This Perspective highlights how bioinspired electronics with soft electrochemical matter based on organic mixed conductors can potentially enable the integration of diverse forms of intelligence everywhere.

In the vast realm of scientific discovery and technological advancement, there exists a hidden frontier that holds the key to unlocking the mysteries of the universe. This frontier is Pico Technology, a domain of measurement and manipulation at the atomic and subatomic levels. The rise of Pico Technology represents a seismic shift in our understanding of precision measurement and its applications across diverse fields, from biology to quantum computing. Pico Technology, at the intersection of precision measurement and quantum effects, represents the forefront of scientific and technological progress, unveiling the remarkable capabilities of working at the picoscale, offering unprecedented precision and reactivity that are reshaping fields ranging from medicine to green energy.

Unlocking the Picoscale World

At the heart of Pico Technology lies the ability to work at the picoscale, a dimension where a picometer, often represented as 1 × 10^−12 meters, reigns supreme. The term ‘pico’ itself is derived from the Greek word ‘pikos’, meaning ‘very small’. What sets Pico Technology apart is not just its capacity to delve deeper into smaller scales, but its unique ability to harness the inherent physical, chemical, mechanical, and optical properties of materials that naturally manifest at the picoscale.

The new method from ETH Zurich departs from traditional carbon capture, relying on temperature or pressure, minimizing energy consumption.

The details of the study, led by Maria Lukatskaya, Professor of Electrochemical Energy Systems at ETH Zurich, were published in the journal ACS.

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An organic artificial neuron that is based on a compact nonlinear electrochemical element can operate in a liquid and responds to the concentration of biological species in its surroundings, allowing its behaviour to be modulated, for example, by interfacing with the membranes of living cells.

When young, these neurons signal fatty tissues to release energy fueling the brain. With age, the line breaks down. Fat cells can no longer orchestrate their many roles, and neurons struggle to pass information along their networks.

Using genetic and chemical methods, the team found a marker for these neurons—a protein called Ppp1r17 (catchy, I know). Changing the protein’s behavior in aged mice with genetic engineering extended their life span by roughly seven percent. For an average 76-year life span in humans, the increase translates to over five years.

The treatment also altered the mice’s health. Mice love to run, but their vigor plummets with age. Reactivating the neurons in elderly mice revived their motivation, transforming them from couch potatoes into impressive joggers.