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Category: mapping

First direct view tracks planet-forming disk spinning around AB Aurigae

The rotation of a protoplanetary disk (a disk where planets are being formed) has been observed directly for the very first time by mapping the emissions from the dust grains within it. The disk in question surrounds the young star AB Aurigae. Although it appears to generally rotate in accordance with the laws of physics, certain regions close to the star show an unexpected departure from this behavior. A body of evidence suggests that this anomaly is caused by the presence of giant planets in the process of formation.

The study, led by scientists from the CNRS and the University of Bordeaux is published in the journal Astronomy & Astrophysics. It sheds fresh light on the mechanisms of planetary formation and the complex dynamics of protoplanetary disks.

Thanks to the unique near-infrared capabilities of the SPHERE instrument and its exceptional spatial resolution, the team was able to accurately track the disk’s structures and their evolution during three sets of observations, collected over a 4-year period. The scientists identified a bright structure, characteristic of accretion zones where gas and dust accumulate and fall onto an object in the process of formation. This phenomenon is closely linked to the formation of gas giant planets.

Space station dust maps slash climate uncertainty over iron-rich particles

New research from a team of scientists led by Cornell is transforming how researchers understand one of the atmosphere’s most abundant and least understood constituents: mineral dust.

Mineral dust, composed of tiny particles lifted from arid regions including the Sahara, Middle East and East Asia, plays a complex role in Earth’s climate system. These particles both scatter and absorb radiation, influence cloud formation and even fertilize ecosystems. But until recently, scientists lacked reliable global data on the surface soils’ mineral composition, particularly on the prevalence of light-absorbing iron oxides.

Using high-resolution data from a NASA mission aboard the International Space Station, the team has reduced long-standing uncertainty about how airborne dust particles affect Earth’s energy balance through interactions with sunlight. The findings are published in the journal Nature Geoscience.

‘Atom Camera’ maps laser light at nanoscale using a single ultracold atom

A research group led by Assistant Professor Takafumi Tomita and Professor Kenji Ohmori at the Institute for Molecular Science, National Institutes of Natural Sciences, has developed a new microscopy technique called the Atom Camera, which uses a single ultracold atom at near absolute zero temperature trapped in an optical tweezer as a camera to visualize the intensity and polarization distributions of light at the nanometer (one-millionth of a millimeter) scale.

In this study, a single atom trapped by optical tweezer was successfully utilized as a scanning probe for imaging the fine structures of intensity and polarization distributions of light patterns with a spatial resolution beyond the diffraction limit of conventional optical microscopes. The results are published in Nature Communications.

Human monoclonal antibodies that target the SFTSV glycoprotein Gn head from four neutralizing epitope groups

Wang et al. report that Gn-specific mAbs from SFTS survivors exhibit broad and potent neutralization, with two providing complete protection in a lethal mouse model. This work maps the Gn antigenic landscape and establishes a deep mutational scanning platform coupled with structural validation for bunyavirus antibody discovery.

A global screen for magnetically induced neuronal activity in the pigeon brain

What if every scientific paper you read was just the “highlight reel” of a much longer, messier, and more complicated movie? You see the breakthrough, but you never see the hundreds of hours of footage showing what didn’t work.

Ultimately, the ARA marks a shift toward a future where “The Last Human-Written Paper” isn’t the end of science, but the beginning of a much deeper, machine-readable conversation.

However, this shift toward radical transparency comes with its own set of hurdles. While ARAs make AI agents more efficient, the study found a “prior-run box” effect where seeing a human’s past failures actually limited an AI’s ability to think outside the box and find creative new solutions. There is also a significant cultural and technical gap to bridge: the system relies on researchers being willing to expose their “messy” unfinished work, and even with better data, the jump in actual experiment reproduction was relatively modest. Furthermore, the reliance on “compilers” to translate old papers into this new format risks baking in errors or “hallucinations” if the original source was vague, proving that while machine-readable data is powerful, it isn’t a magic fix for the inherent complexities of scientific discovery.

How animals detect Earth’s magnetic field remains a mystery in sensory biology. Despite extensive behavioral evidence, the neural circuitry and molecular mechanisms responsible for magnetic sensing remain elusive. Adopting an unbiased approach, we used whole-brain activity mapping, tissue clearing, and light sheet microscopy to identify neuronal populations activated by magnetic stimuli in the pigeon (Columba livia). We demonstrate robust, light-independent bilateral neuronal activation in the medial vestibular nuclei and the caudal mesopallium. Single-cell RNA sequencing of the semicircular canal cristae revealed specialized type II hair cells that express the molecular machinery necessary for the detection of magnetic stimuli by electromagnetic induction.

Liad Mudrik: Using Prediction Maps to Guide Theory Testing and the Search for the NCC

This talk is part of the “New Ideas in NCC Research” workshop of the Bamberg Mathematical Consciousness Science Initiative (BAMΞ). For more talks and details, see https://www.uni-bamberg.de/en/bamxi/r…

Abstract: In recent years, the search for the neural correlates of consciousness (NCC) has been complemented, and influenced, by the ongoing efforts to test neuroscientific theories of consciousness. A key insight from these efforts, though, is that many theories remain underdeveloped and not fully specified, making it harder to establish stringent tests for their predictions. In this talk, I will present a novel methodological approach that represents scientific theories as networks of beliefs structured in a core-periphery manner. These Prediction Maps visualize theoretical claims and empirical predictions, and illustrate their inferential relations. This framework further facilitates systematic theory testing by allowing researchers to evaluate the evidential weight of different components of a theory, and to identify which experimental results would constitute the most informative tests. To do so, we apply graph-theoretic and network analysis metrics, quantifying the centrality of specific predictions. I argue that this approach can advance efforts to arbitrate between theories of consciousness and to identify their most promising candidate mechanisms as NCCs.

This Telescope Spent Five Years Mapping the Cosmos and Captured 47 Million Galaxies in the Process

For five years, scientists quietly scanned the night sky with an instrument capable of capturing objects billions of light-years away. What they uncovered is now being described as the most ambitious cosmic map ever created.

Harvard Scientists Reveal Secret Structure Behind How You Smell

The team also found that this layout in the nose aligns with corresponding maps in the olfactory bulb of the brain. This connection offers new clues about how scent signals travel from the nose into the brain.

The findings were published April 28 in Cell.

Scientists have long known how sensory receptors are arranged in the eyes, ears, and skin, and how those arrangements connect to the brain. Smell has been the exception.

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