Results 131 to 140 of about 51,978 (203)

Can Second‐Order Numerical Accuracy Be Achieved for Moist Atmospheric Dynamics With Non‐Smoothness at Cloud Edge?

open access: yesJournal of Advances in Modeling Earth Systems, Volume 17, Issue 10, October 2025.
Abstract Non‐smoothness arises at cloud edge because, in moist thermodynamics, the thermodynamic properties of the atmosphere are different inside a cloud versus in clear air. In particular, inside a cloud, the vapor pressure of water is constrained by the saturation vapor pressure, which acts as a threshold.
David H. Marsico   +2 more
wiley   +1 more source

Mapping priority areas to mitigate the risk of electrocution of range‐restricted bird species

open access: yesJournal of Applied Ecology, Volume 62, Issue 10, Page 2787-2799, October 2025.
Our study proposes a framework to identify areas with higher electrocution risk, which can be used even in data‐scarce regions or adapted to a multi‐species assessment context. This approach can support proactive strategies for energy companies with an initial assessment identifying areas to avoid installing new power lines, evaluating sites for ...
Larissa D. Biasotto   +8 more
wiley   +1 more source

Dynamics of prostate tumors under intermittent hormonal therapy: mathematical analysis on hybrid PDE-ODE systems

open access: yesDynamics of prostate tumors under intermittent hormonal therapy: mathematical analysis on hybrid PDE-ODE systems
博士学位論文 (Thesis(doctor ...
openaire  

Systemic Robustness: A Mean‐Field Particle System Approach

open access: yesMathematical Finance, Volume 35, Issue 4, Page 727-744, October 2025.
ABSTRACT This paper is concerned with the problem of capital provision in a large particle system modeled by stochastic differential equations involving hitting times, which arises from considerations of systemic risk in a financial network. Motivated by Tang and Tsai, we focus on the number or proportion of surviving entities that never default to ...
Erhan Bayraktar   +3 more
wiley   +1 more source

High‐speed railway track geometry robust maintenance with Bayesian deep learning‐enhanced physical‐informed neural networks

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3934-3952, 6 October 2025.
Abstract Millimeter‐level active control of track geometry irregularity (TGI) is crucial for intelligent maintenance of high‐speed railways. To address the efficiency limitations of existing time‐domain characteristics‐dominated TGI maintenance scheme design methods and vehicle–track coupled dynamics evaluation models, this paper proposes a new ...
Huakun Sun   +6 more
wiley   +1 more source

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