Results 151 to 160 of about 512,942 (311)
Analysis of skin tissues spatial fluorescence distribution by the Monte Carlo simulation [PDF]
, 2003 A novel Monte Carlo technique of simulation of spatial fluorescence distribution within the human skin is presented. The computational model of skin takes into account the spatial distribution of fluorophores, which would arise due to the structure of
Churmakov, D. Y. +3 more
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Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Advanced Science, EarlyView.Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
Lecturas de Economía, 2004 El método Monte Carlo se aplica a varios casos de valoración de opciones financieras. El método genera una buena aproximación al comparar su precisión con la de otros métodos numéricos.
Cecilia Maya
doaj
Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
Advanced Science, EarlyView.Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok +4 more
wiley +1 more source
Exact inference in diagnosing value-at-risk estimates: A Monte Carlo device [PDF]
In this note a Monte Carlo approach is suggested to determine critical values for diagnostic tests of Value-at-Risk models that rely on binary random variables. Monte Carlo testing offers exact significance levels in finite samples.
Herwartz, Helmut
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Advanced Science, EarlyView.Bulk FePd2Te2 contains sparse interlayer Pd–Te covalent bonds, giving it unexpectedly low exfoliation energy and enabling van der Waals‐like exfoliation. Cleaving these bonds during exfoliation makes the monolayer magnetically distinct from the bulk: magnetic anisotropy energy increases, and the strain‐response coefficient of the magnetic moment ...
Huaiyuan Zhao +7 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
ESTIMAÇÃO DO PRÊMIO DE OPÇÕES ASIÁTICAS POR MONTE CARLO E QUASI-MONTE CARLO
Faces: Revista de Administração, 2012 O trabalho se situa no campo de estudo de métodos numéricos, em fi nanças, e tem por objetivo comparar a utilização dos modelos estocásticos de Monte Carlo e Quasi-Monte Carlo com Sequências de Halton, para o apreçamento de opções asiáticas, em uma série
Rafael Igrejas da Silva +4 more
doaj
The valuation of exotic barrier options and American options using Monte Carlo simulation [PDF]
Monte Carlo simulation is a widely used numerical method for valuing financial derivatives. It can be used to value high-dimensional options or complex path-dependent options.
Chirayukool, Pokpong
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