Prépublication
· 2026 arXiv
EN
Objective digital measures of depression severity could complement conventional symptom assessments and facilitate more timely clinical evaluation. Here, we investigated whether task-evoked eye movements provide interpretable behavioral markers of depression s...
Youxiang Sun, Yujie Nie et al.
#eess.SP
Prépublication
· 2026 arXiv
EN
Many approaches have recently been proposed to combine data assimilation with machine learning for improved forecasts with geophysical models. Here, we focus on combining advanced sequential data assimilation schemes with a generative forecasting model which a...
Marc Bocquet, Tobias S. Finn et al.
#stat.ML
Prépublication
· 2026 arXiv
EN
A potentially super El Niño is forecasted in 2026, raising the need to anticipate land carbon-cycle risks before its impacts unfold. We develop a prospective early-warning framework that uses dynamic global vegetation models driven by an ensemble of ECMWF seas...
Xiaomeng Du, Runda Jiang et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Ensemble forecasts from the ECMWF's Integrated Forecasting System (IFS) and the Artificial Intelligence Forecasting System (AIFS-ENS) are compared using a multi-dimensional evaluation framework. Within this framework, the uncertainty is interpreted as the line...
Martin Bonte, Stéphane Vannitsem
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Aim. We try to understand the interaction of eccentricity tide and convection in icy satellites. Method. We use the numerical calculation of rotating convection with eccentricity tide in a spherical shell. Results. We have the following results. (1) Energy sca...
Jiachen Zheng, Xing Wei
#astro-ph.EP
Prépublication
· 2026 arXiv
EN
We present two and three dimensional direct numerical simulations of planar intrusions injected from a continuously supplied, narrow source into a linearly stratified ambient at the level of neutral buoyancy. The evolution passes through three phases. A lamina...
Hai Duc Vu, Murray Rudman et al.
#physics.flu-dyn
Prépublication
· 2026 arXiv
EN
Deep-learning models increasingly rival numerical simulation in Earth-system forecasting, yet forecast error alone cannot determine whether their learned input-output dependencies are physically consistent. Here we introduce sensitivity fidelity as an addition...
Qi Chen, Peng Zhan et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
The cosmic reheating is an important epoch in the very early Universe, and has significant impacts on the primordial black hole (PBH) abundance and the scalar-induced gravitational wave (SIGW) spectrum. The relevant energy scale and the constituents of cosmic...
Qi-Lin Yang, Shi-Jie Wang et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
Eclipsing binaries consisting of a solar-type primary and an M dwarf secondary are key laboratories to study objects at the bottom of the main sequence. Fundamental parameters of such stars have a direct impact upon exoplanetary studies, as searches for temper...
Adam T. Stevenson, Yasmin T. Davis et al.
#astro-ph.SR
Prépublication
· 2026 arXiv
EN
In the minimal type-I seesaw, one right-handed neutrino (RHN) can decouple from neutrino mass generation. Such a state is usually neglected, yet its feeble couplings make it long-lived, and it can dominate the energy density of the Universe before decaying. We...
Stephen F. King, Rishav Roshan et al.
#hep-ph
Prépublication
· 2026 arXiv
EN
The LZ collaboration has recently reported a single nuclear-recoil event at $E_R=248\pm23_\text{stat}\pm23_\text{sys}$ keV, observed in a 2.84 tonne-year exposure with a local significance of $3.4σ$, pointing towards an inelastic dark matter (DM) interpretatio...
Sujit Kumar Sahoo, Narendra Sahu et al.
#hep-ph
Prépublication
· 2026 arXiv
EN
Artificial warming via engineered aerosols presents a novel pathway to bypass volatile scarcity on modern Mars. Utilizing the Generic Planetary Climate Model, we evaluate the physical feasibility of aerosol-induced terraforming over a full Martian year (669 So...
Tom N. Landefeld, Harald Lesch
#astro-ph.EP