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National Institutes of Natural Sciences


Molecular-motor specialists deepen our understanding of a rotary ion pump of the cell

A team of scientists has directly visualized the rotary motion of a bacterial cell protein, resolving a long-standing structural symmetry mismatch. The study found that the coupling between the two motors is rigid, requiring additional pauses during rotation to resolve the mismatch.

SourceNational Institutes of Natural Sciences·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateOct 11, 2022

The process of waves carrying plasma heat is observed for the first time in the world

Researchers at National Institutes of Natural Sciences observe plasma heating due to electromagnetic waves for the first time. They used a new measurement system to capture ultrahigh-speed data, revealing that Landau damping transfers energy from high-energy particles to electromagnetic waves, which then heat the plasma.

SourceNational Institutes of Natural Sciences·JournalCommunications Physics·TypeExperimental study·DateSep 28, 2022

Breakthrough for the realization of ultrafast quantum computers: the world’s fastest 2-Qubit gate between two single atoms

Scientists have successfully implemented the world's fastest two-qubit gate in a quantum computer, achieving an impressive speed of 6.5 nanoseconds using cold atoms cooled to near absolute zero and optical tweezers. This breakthrough has significant implications for the development of ultrafast quantum computing hardware.

SourceNational Institutes of Natural Sciences·JournalNature Photonics·TypeExperimental study·DateAug 8, 2022

How does “learning” turn into memory”? Input type-dependent synaptic dynamics in the motor cortex during learning

The study reveals that top-down information from the higher-order motor cortex to the primary motor cortex is crucial for motor learning, while newly formed synapses in the thalamus store acquired motor memories. This challenge to the widely held view suggests a two-step process for motor skill learning.

SourceNational Institutes of Natural Sciences·JournalScience Advances·TypeExperimental study·DateJul 27, 2022

New research furthers understanding of the electronic structure of graphite

Researchers have made significant advancements in understanding the electronic structure of graphite, a crucial component in battery production. The study's findings highlight the importance of surface effects in bulk intrinsic electronic state measurements, revealing new insights into the material's electrical properties.

SourceNational Institutes of Natural Sciences·JournalPhysical Review B·TypeExperimental study·DateJul 19, 2022

Visualization of binding processes of cell-cell adhesion molecules in solution

The study reveals multiple dimeric structures of cadherins in solution, including W-, cross-, and S-shaped dimers. The researchers propose a novel conformation, the S-shaped dimer, and suggest that binding mechanism progresses through sliding motion followed by flipping motion to form stable SS-dimers.

SourceNational Institutes of Natural Sciences·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateJul 18, 2022

Topology and machine learning reveal hidden relationship in amorphous silicon

Researchers used topological mathematics and machine learning to identify a hidden relationship between nano-scale structures and thermal conductivity in amorphous silicon. They found that the persistent homology diagram can be used as a descriptor for machine learning, achieving accurate predictions about thermal conductivities.

SourceNational Institutes of Natural Sciences·JournalThe Journal of Chemical Physics·TypeComputational simulation/modeling·DateJun 24, 2022

Yoyo stars responsible for off-center bubbles

Researchers used a new simulation code to study the formation of star clusters and found that massive stars can eject off-center bubbles in the Orion Nebula. The simulations matched observations, showing that ejected stars can initiate ionized bubbles before falling back into the cluster.

SourceNational Institutes of Natural Sciences·JournalMonthly Notices of the Royal Astronomical Society·TypeComputational simulation/modeling·DateJun 7, 2022

Discovery of high-speed moving plasma turbulence for the first time in the world

Researchers at NIFS have made a groundbreaking discovery in fusion plasmas, finding that turbulence moves faster than heat. This characteristic allows for predictive control of plasma temperature, paving the way for real-time manipulation. The study used advanced instruments to measure turbulent behavior with unprecedented accuracy.

SourceNational Institutes of Natural Sciences·JournalScientific Reports·TypeExperimental study·DateMay 19, 2022

Chronobiologists identify key circadian clock mechanism in cyanobacteria

Chronobiologists have identified a crucial mechanism involved in the setting of the circadian clock of cyanobacteria, a model organism for studying circadian systems. The study reveals that the KaiC protein's dual ATPase active sites communicate through an interface to regulate the assembly and disassembly cycle of other clock proteins.

SourceNational Institutes of Natural Sciences·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateMay 9, 2022

Classifying exoplanet atmospheres opens new field of study

An international team of researchers analyzed data from 25 hot Jupiters, finding a link between thermal inversions and the presence of hydrogen anion and metallic species. These findings will help establish a generalized theory of planet formation, improving our understanding of all planets, including Earth.

SourceNational Institutes of Natural Sciences·JournalThe Astrophysical Journal Supplement Series·TypeObservational study·DateApr 25, 2022

Deep brain stimulation driven by motor cortical activity can effectively treat Parkinson’s disease

Researchers developed a new method of deep brain stimulation driven by motor cortical activity to treat Parkinson's disease. This approach, known as adaptive DBS (aDBS), uses γ2 band activity from the primary motor cortex to modulate stimulation parameters and reduce battery consumption.

SourceNational Institutes of Natural Sciences·JournalScientific Reports·TypeExperimental study·DateApr 20, 2022

Self-sustained divertor oscillation mechanism identified in fusion plasma experiment

Scientists at Japan's National Institute for Fusion Science discovered a self-sustained mechanism that controls the heat load on the divertor in a fusion reactor. By analyzing the magnetic island and plasma current mirror, they found a competition between two processes that can be described by a biological predator-prey model, which su...

SourceNational Institutes of Natural Sciences·JournalPhysical Review Letters·TypeExperimental study·DateMar 1, 2022

Efficient photon upconversion at an organic semiconductor interface

Researchers developed novel photon upconversion systems with heterojunctions of bilayer films of organic semiconductors, achieving two orders of magnitude higher external quantum efficiency than conventional systems. This breakthrough enables bright yellow emission in flexible thin films for optogenetics and biosensing applications.

SourceNational Institutes of Natural Sciences·JournalNature Photonics·TypeExperimental study·DateNov 18, 2021