Results 11 to 20 of about 182 (102)

Stochastic C-Stability and B-Consistent of Projective Backward Euler-Maruyama Methods

open access: yesJournal of Harbin University of Science and Technology
In some practical research scenarios, the development of related research work can rely solely on numerical solutions, and the analytical solutions of a large number of stochastic differential equations cannot be directly obtained.
ZHANG Zhiyang, ZHANG Hangyu, BI Hui
doaj   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

open access: yesInternational Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez   +3 more
wiley   +1 more source

Random Carbon Tax Policy and Investment Into Emission Abatement Technologies

open access: yesMathematical Finance, EarlyView.
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri   +2 more
wiley   +1 more source

A Model of Strategic Sustainable Investment

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study a problem of optimal irreversible investment and emission reduction formulated as a nonzero‐sum dynamic game between an investor with environmental preferences and a firm. The game is set in continuous‐time on an infinite‐time horizon.
Tiziano De Angelis   +2 more
wiley   +1 more source

Anatomical and functional mapping of vagal nociceptive sensory nerve subsets innervating the mouse lower airways by intersectional genetics

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend We used an intersectional approach with recombinase‐expressing mice and adeno‐associated virus to map and modulate distinct nociceptive afferents in the vagal ganglia. TRPV1+P2X2+ neurons resided in the nodose ganglion (N), innervated the lungs (many projected into the alveoli) but not the trachea, and projected to the nucleus ...
Mayur J. Patil   +11 more
wiley   +1 more source

Enantioselective Separation and Negative Transport of Chiral Particles via Optical Needle Fields

open access: yesNanophotonics, Volume 15, Issue 13, 13 July 2026.
This work proposes an all‐optical strategy that leverages a tailored optical needle field for the enantioselective separation and 3D manipulation of chiral particles. By introducing phase modulation, we engineer a dual‐needle configuration capable of spatially separating and negatively transporting both enantiomers within a single system, offering a ...
Manman Li   +7 more
wiley   +1 more source

Multi‐Scale Hybrid Modeling to Predict Cell Culture Process With Metabolic Phase Transitions

open access: yesBiotechnology and Bioengineering, Volume 123, Issue 7, Page 1745-1770, July 2026.
ABSTRACT To advance understanding of cellular metabolism and reduce batch‐to‐batch variability in cell culture processes, this study introduces a multi‐scale hybrid modeling framework designed to simulate and predict the dynamic behavior of CHO cell cultures undergoing metabolic phase transitions.
Keqi Wang, Sarah W. Harcum, Wei Xie
wiley   +1 more source

On MAP Estimates and Source Conditions for Drift Identification in SDEs

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck   +3 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, Volume 13, Issue 28, 18 May 2026.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

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