To understand the present and try to predict the future, the past is a valuable tool. Researchers aim to understand the dynamics of the East Antarctic Ice Sheet in the Lützow-Holmbukta region with the goal of determining if rapid ice sheet thinning (from approximately 9,000 to 6,000 years ago) was followed by stabilization or re-thickening. This information is key to helping predict future responses to ice sheet thinning, as well as to get a clear picture of the current behavior of ice sheet thinning across the Antarctic. With this, future responses to climate change can be improved.

The first exoplanet ever discovered in 1995 was what we now call a “hot Jupiter”, a planet as massive as Jupiter with an orbital period of just a few days. Today, hot Jupiters are thought to have formed far from their stars—similar to Jupiter in our Solar System—and later migrated inward. Two main mechanisms have been proposed for this migration: (1) high-eccentricity migration, in which a planet’s orbit is disturbed by the gravity of other celestial bodies and subsequently circularized by tidal forces near the star; and (2) disk migration, in which the planet moves gradually inward within the protoplanetary disk.

However, it is not straightforward to distinguish the mechanism a particular hot Jupiter experienced from observations alone. In the case of high-eccentricity migration, the gravitational perturbations can tilt the planet’s orbital axis relative to the star’s rotational axis, resulting in a measurable misalignment. However, tidal forces can realign these axes over time, meaning that an aligned orbit does not necessarily imply disk migration. As a result, there has long been no reliable observational method to identify planets that formed through disk migration.

To address this challenge, a research group led by PhD student Yugo Kawai and Assistant Professor Akihiko Fukui at the Graduate School of Arts and Sciences, the University of Tokyo, proposed a new observational method that takes advantage of the timescale of high-eccentricity migration itself.

Osaka Metropolitan University researchers enhanced Saccharomyces cerevisiae to increase its tolerance for high 2,3-butanediol concentrations. This was achieved by introducing mutations into the genomic DNA and successfully obtaining a mutant strain that proliferates 122 times more than the parent strain.

Kyoto, Japan -- What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new study has introduced a method that does exactly this -- not just by looking at fine-grained neuronal spiking activity, but by characterizing its collective dynamics using principles from thermodynamics.

A team from Kyoto University and Hokkaido University developed a new statistical framework capable of tracing directional, nonequilibrium neural dynamics directly from large-scale spike recordings, enabling them to show how neurons dissipate entropy as they compute. Their findings reveal how neurons dynamically reshape their interactions during behavior and how the brain’s internal "temporal asymmetry" shifts during task engagement, shedding light on how efficient computation arises.

Traditional approaches to temporal asymmetry often assume that brain signals are relatively steady over time -- a convenient assumption, but one that fails to capture the brain's ever-changing computations. "Real neurons never sit still," says first author Ken Ishihara of Hokkaido University. "Their firing rates and interactions fluctuate from moment to moment. To capture their nonequilibrium behavior, we needed a new kind of model."

Companies with strong environmental, social, and governance (ESG) track records performed better than their peers after being required to adopt more rigorous auditing standards. This is according to a new study from researchers at Nagoya University in Japan, which is the first to examine the connection between the implementation of “key audit matters” (KAMs) and firms’ sustainability practices.

Tokyo, Japan – Scientists from Tokyo Metropolitan University have re-engineered the popular Lattice-Boltzmann Method (LBM) for simulating the flow of fluids and heat, making it lighter and more stable than the state-of-the-art. By formulating the algorithm with a few extra inputs, they successfully got around the need to store certain data, some of which span the millions of points over which a simulation is run. Their findings might overcome a key bottleneck in LBM: memory usage.

In statistics, data collection is a difficult process that demands thoughtful consideration. Securing a sufficient sample size can be challenging, or even impossible, regardless of the method employed. Small area estimation is a promising statistical technique that not only focuses on the target data but also incorporates data from related areas to improve mathematical accuracy. We spoke with Masayo Hirose, a researcher specializing in small area estimation, who shared the unique appeal of this field, the future direction of her work, and the message she hopes to convey to students.

Myelodysplastic syndrome (MDS) arises from defective blood stem cells that progressively lose their normal functions. Japanese researchers have revealed how changes in chromatin accessibility—how DNA is packaged—reprogram these stem cells toward faulty myeloid gene activity. This shift disrupts the balance of blood cell development and drives disease progression. The team also developed a chromatin-based “progenitor score” that accurately reflects disease severity and predicts patient prognosis in MDS.