Results 91 to 100 of about 1,413 (221)
The hfPSC‐LCs could be established from naïve hESCs, conventional hESCs, hiPSCs, and human blastocysts. The hfPSC‐LCs hold robust capacity for three germ layers, hPGCLCs, and hALPCs. ABSTRACT Human embryos undergo pivotal morphogenetic remodelling shortly after implantation. The understanding of this crucial stage is severely impeded by the scarcity of
Xiaoxiao Wang +11 more
wiley +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +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
Discrete Analytical Ridgelet Transform
International audienceIn this paper, we present a new implementation of the Ridgelet transform based on discrete analytical 2-D lines: the discrete analytical Ridgelet transform (DART).
Andres, Eric, Carré, Philippe
core +1 more source
Likelihood Estimation for Stochastic Differential Equations with Mixed Effects
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios +2 more
wiley +1 more source
Fast discrete Radon transform and 2-D discrete Fourier transform
The discrete Radon transform (DRT) has been known to convert two-dimensional discrete Fourier transforms (2-D DFTs) into 1-D DFTs. A fast discrete Radon transform (FDRT) algorithm is presented. A FDRT-based algorithm is presented for computing 2-D DFTs, which has the advantages of having the lowest number of multiplications and being more suitable for ...
openaire +1 more source
Ischemia–Reperfusion Injury: Molecular Mechanisms and Therapeutic Interventions
Multiorgan ischemia–reperfusion injury begins with ischemia‐induced ATP depletion and ionic imbalance, followed by reperfusion‐triggered mitochondrial ROS/RNS bursts, regulated cell death, and DAMP release. Sterile inflammation converges on endothelial–immune–coagulation crosstalk, where NETs drive immunothrombosis, no‐reflow, and remote organ injury ...
Peng An +4 more
wiley +1 more source
In this paper we discuss the embedding of symmetry information in an algorithm for three-dimensional reconstruction, which is based on the discrete Radon transform.
Cantele, F. +3 more
core +1 more source
Katz-Radon transform of l-adic representations [PDF]
We prove a simple explicit formula for the local Katz-Radon transform of an l-adic representation of the Galois group of the fraction field of a strictly henselian discrete valuation ring with positive residual characteristic, which can be defined as the
Rojas León, Antonio
core +1 more source
Abstract Alluvial systems are dynamic, structurally complex environments. Groundwater that is extracted from these systems is widely used for domestic consumption. Numerical models play an important role in the management of this extraction. To provide support for decision‐making, models must assimilate data that inform the spatial and temporal ...
Hugo Delottier +4 more
wiley +1 more source

