Lifeboat Foundation

If all the world’s a stage and all the species merely players, then their exits and entrances can be found in the rock record. Fossilized skeletons and shells clearly show how evolution and extinction unfolded over the past half a billion years, but a Virginia Tech analysis extends the chart of life to nearly 2 billion years ago. The study is published in the journal Science.

The chart shows the relative ups and downs in species counts, telling scientists about the origin, diversification, and extinction of ancient life.

With this new study, the chart of life now includes life forms from the Proterozoic Eon, 2,500 million to 539 million years ago. Proterozoic life was generally smaller and squishier—like sea sponges that didn’t develop mineral skeletons —and left fewer traces to fossilize in the first place.

In their Review article earlier this year, Fedorenko, Ivanova & Regev (Fedorenko, E., Ivanova, A. A. & Regev, T. I. The language network as a natural kind within the broader landscape of the human brain. Nat. Rev. Neurosci. 25, 289–312 (2024))¹ propose a functional separation between the core language network and other perceptual, motor and higher-level cognitive components of communication-related networks in the left hemisphere of the human brain. In the ‘Open questions and a way forward’¹ section that ends their Review, the authors discuss the need for cross-species comparative research to disentangle how these brain networks came to support human language. Here, we suggest that the authors’ functional separation of a core language network and other components in the human brain is grounded in the evolution of two separate structural networks within primate brains.

Fedorenko and colleagues describe the core language network as left-lateralized, and involving the middle frontal gyrus (MFG), inferior frontal gyrus (IFG), superior temporal gyrus (STG) and middle temporal gyrus (MTG). Perceptual and motor systems for speech are defined as separate subsystems located in auditory cortex and speech perception areas in the STG and motor cortex and motor planning areas¹, respectively. Importantly, these functionally defined key brain areas are known to be structurally connected via dorsally and ventrally located white-matter fibre tracts, which guarantee the information flow between areas. In humans, two separate dorsal pathways that provide structural connections have been identified for two distinct networks^2,3 (Fig. 1).

ABSTRACT. We present a new, cosmologically model-independent, statistical analysis of the Pantheon$+$ Type Ia Supernovae spectroscopic data set, improving.

Investigators from Cedars-Sinai and the University of California, San Francisco (UCSF) have identified a new way to deliver instructions that tell stem cells to grow into specific bodily structures, a critical step in eventually regenerating and repairing tissues and organs.

The scientists engineered cells that form structures called “synthetic organizers.” These organizers provided instructions to the stem cells through biochemical signals called morphogens, which stimulated and enabled the stem cells to grow into specific complex tissues and organ-like assemblies.

The research was conducted with mouse embryonic stem cells, and the findings were published in Cell.

Monitoring electrical signals in biological systems helps scientists understand how cells communicate, which can aid in the diagnosis and treatment of conditions like arrhythmia and Alzheimer’s.

But devices that record electrical signals in cell cultures and other liquid environments often use wires to connect each electrode on the device to its respective amplifier. Because only so many wires can be connected to the device, this restricts the number of recording sites, limiting the information that can be collected from cells.

MIT researchers have now developed a biosensing technique that eliminates the need for wires. Instead, tiny, wireless antennas use light to detect minute electrical signals.

Even our precious PC Gamer hardware team rigs have been beset by issues.

Figuring out certain aspects of a material’s electron structure can take a lot out of a computer—up to a million CPU hours, in fact. A team of Yale researchers, though, are using a type of artificial intelligence to make these calculations much faster and more accurately. Among other benefits, this makes it much easier to discover new materials. Their results are published in Nature Communications.

In the field of materials science, exploring the electronic structure of real materials is of particular interest, since it allows for better understanding of the physics of larger and more complex systems, such as moiré systems and defect states. Researchers typically will use a method known as density functional theory (DFT) to explore electronic structure, and for the most part it works fine.

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Most of Earth’s meteorites also trace their origins to S-type asteroids, yet they contain minimal organic material. This scarcity has made analyzing their organic content a significant challenge. In contrast, the Hayabusa mission’s meticulously curated samples are free from terrestrial interference, enabling groundbreaking studies of organic compounds.

Among the particles returned by Hayabusa, one named “Amazon” has proven particularly revealing. Measuring just 30 micrometers wide, Amazon offers a rare opportunity to investigate both water and organic content. Its unique shape, reminiscent of the South American continent, underscores its distinctiveness.

Amazon’s mineral composition includes olivine, pyroxenes, albite, and traces of high-temperature carbonates. These minerals confirm its origin as an S-type asteroid, linking it directly to ordinary chondrites.

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates.