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Regional integration is widely promoted as a path to greener urban agglomerations, but its firm-level environmental effect remains uncertain because integration can also lower the cost of pollution relocation. This study examines how the regulatory gap between core and peripheral cities conditions this effect in China. Using data on 130,727 industrial firms in 137 cities across 16 urban agglomerations, we estimate firm environ...
Clockwise or Counterclockwise: Hysteresis in the Response of Ecosystem Respiration to TemperatureNARA Subscribed
Ecosystem respiration (ER) often responds asymmetrically to seasonal warming and cooling, producing thermal hysteresis. Yet, its global patterns and drivers remain unknown. Here, we used daily ER data from 324 eddy‐covariance sites worldwide and revealed two contrasting hysteresis patterns in the temperature response of ER: clockwise hysteresis (ER is higher during the warming than cooling season) at 173 sites and counterclock...
Storm-Resolving Earth: How Well Do Global Kilometer-scale Models Simulate Storms in East Asia’s 2020 Record-breaking Wet Summer?NARA Subscribed
High-performance computing now enables a new generation of global kilometer-scale models. As part of the World Climate Research Programme (WCRP) Global Hackathon 2025 initiative, for the first time, multiple cutting-edge global kilometer-scale models have been run for an entire year. All of them have covered the summer of 2020, when East Asia experienced record-breaking precipitation and catastrophic floods, mainly driven by m...
Precision measurement of the Ds*+-Ds+ meson mass differenceNARA Subscribed
Predation, Climate and Species Traits Interact to Shape Global Patterns of Avian Nest ArchitectureNARA Subscribed
Aim Bird nest structures are critical for reproductive success and vary widely across species. However, the ecological and evolutionary drivers behind enclosed nests (domes and cavities) remain unclear, with previous studies yielding conflicting results. Leveraging recently available comprehensive nest trait data, we aim to clarify whether enclosed nests primarily function as protection from predation or for regulation of micr...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...