Results 101 to 110 of about 10,962 (248)
Lattice Distortion‐Driven Metal Exsolution in Perovskite Oxides
Advanced Science, EarlyView.This study elucidates the mechanism of lattice distortion‐driven exsolution through a combination of computational simulations and experimental approaches. Lattice distortion facilitates the formation of oxygen vacancies and subsequent metal segregation, thereby enhancing the exsolution behavior.
Yo Han Kim +5 more
wiley +1 more source
Bootstrap and Higher-Order Expansion Validity When Instruments May Be Weak [PDF]
It is well-known that size-adjustments based on Edgeworth expansions for the t-statistic perform poorly when instruments are weakly correlated with the endogenous explanatory variable.
Gustavo A. Suarez +2 more
core +2 more sources
Advanced Science, EarlyView.An edible biohybrid platform triggers nanoplastics (NPs) aging and agglomeration by in situ generating hydroxyl radicals within the intestine. The enlarged NPs are unable to penetrate the intestine and are subsequently excreted. Simultaneously, probiotic biofilms reinforce the intestinal barrier.
Su Zhou +4 more
wiley +1 more source
Estimation and inference in unstable nonlinear least squares models
In this paper, we extend Bai and Perron's (1998, Econometrica, pp. 47-78) method for detecting multiple breaks to nonlinear models. To that end, we consider a nonlinear model that can be estimated via nonlinear least squares (NLS) and features a limited ...
Hall, Alastair R., Boldea, Otilia
core +1 more source
The New Keynesian Phillips curve : lessons from single-equation econometric estimation [PDF]
We review single-equation methods for estimating the hybrid New Keynesian Phillips curve (NKPC) and then apply those methods to U.S. quarterly data for 1955?2007.
Gregor W. Smith, James M. Nason
core
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Advanced Science, EarlyView.Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
Small Concentration Asymptotics and Instrumental Variables Inference [PDF]
Poskitt and Skeels (2005) provide a new approximation to the sampling distribution of the IV estimator in a simultaneous equations model, the approximation is appropriate when the concentration parameter associated with the reduced form model is small ...
C.L. Skeels, D.S. Poskitt
core
Estimation and Inference for the Mediation Proportion
, 2017 In epidemiology, public health and social science, mediation analysis is often undertaken to investigate the extent to which the effect of a risk factor on an outcome of interest is mediated by other covariates.
Donna Spiegelman +2 more
core +1 more source
Advanced Science, EarlyView.This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu +11 more
wiley +1 more source