Results 131 to 140 of about 213,445 (314)
A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces
Advanced Science, EarlyView.A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren +5 more
wiley +1 more source
Monte Carlo Pricing of American Options Using Nonparametric Regression [PDF]
This paper provides an introduction to Monte Carlo algorithms for pricing American options written on multiple assets, with special emphasis on methods that can be applied in a multi-dimensional setting.
Pizzi Claudio, Pellizzari Paolo
core
Advanced Science, EarlyView.A layered bead‐network wallpaper is designed to modulate the light propagation path, overcoming the color residue limitations of thermochromic components for efficient automatic switching between radiative cooling and solar heating modes. The layered bead‐network wallpaper provides passive, all‐season thermal regulation while offering self‐cleaning and
Jianyu Wu +7 more
wiley +1 more source
Zero variance in Markov chain Monte Carlo with an application to credit risk estimation [PDF]
We propose a general purpose variance reduction technique for Markov Chain Monte Carlo estimators based on the Zero-Variance principle introduced in the physics lit- erature by Assaraf and Caarel ( 1999). The potential of the new idea is illustrated with
Tenconi Paolo
core
AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint
Advanced Science, EarlyView.AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz +4 more
wiley +1 more source
Markov Chain Monte Carlo Technology [PDF]
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core
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
Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]
We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the Expectation- Maximization (EM) algorithm and its Monte Carlo variants.
Davy, Manuel +2 more
core +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
Introduction to Monte Carlo simulation [PDF]
2008 Winter Simulation Conference, 2008 openaire +1 more source