Results 111 to 120 of about 2,746 (252)
Background and Purpose Metabolic dysfunction‐associated steatohepatitis (MASH) is linked to activation of hepatic stellate cells (HSCs) to α‐smooth muscle actin–positive myofibroblasts that produce collagen and proinflammatory cytokines. Quiescent HSCs express the NO‐cGMP signalling axis.
Krithika Rajeeth +14 more
wiley +1 more source
Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs
Partial differential equations (PDEs) with random input data, such as random loadings and coefficients, are reformulated as parametric, deterministic PDEs on parameter spaces of high, possibly infinite dimension. Tensorized operator equations for spatial
Gittelson, Claude Jeffrey +1 more
core
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
How to create realistic shapes by interpolating two known shapes for facial blendshapes has not been investigated in the existing literature. In this paper, we propose a physics-based mathematical model and its analytical solutions to obtain more ...
Sydney Day +8 more
doaj +1 more source
Enhancing CRISPR‐Cas12a base editing in plants with LbCas12a variants and introns
Intron optimization of LbCas12a‐RRV improves cytosine and adenine base editing efficiency in plants, supports multiplexed and double‐strand break‐free genome modification, and expands precise genome engineering tools for crop breeding and plant functional research. ABSTRACT Cytosine base editors (CBEs) and adenine base editors (ABEs) are powerful tools
Yanhao Cheng +5 more
wiley +1 more source
Caputo fractional derivative in the solution of Kolmogorov equations: a new numerical approach
Fractional-order partial differential equations (PDEs) have become an essential tool in modeling complex phenomena across various scientific disciplines due to their ability to describe processes involving memory and hereditary effects.
Mohammad Alshammari +5 more
doaj +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
Equilibrium Reward for Liquidity Providers in Automated Market Makers
ABSTRACT We find the equilibrium contract that an automated market maker (AMM) offers to their strategic liquidity providers (LPs) in order to maximize the order flow that gets processed by the venue. Our model is formulated as a leader–follower stochastic game, where the venue is the leader and a representative LP is the follower.
Alif Aqsha +2 more
wiley +1 more source
Random Carbon Tax Policy and Investment Into Emission Abatement Technologies
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
"On Approximation of the Solutions to Partial Differential Equations in Finance" [PDF]
This paper proposes a general approximation method for the solutions to second-order parabolic partial differential equations (PDEs) widely used in finance through an extension of Léandre's approach(Léandre (2006,2008)) and the Bismut identiy(e.g ...
Akihiko Takahashi, Toshihiro Yamada
core

