Results 91 to 100 of about 15,648,464 (247)
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
A Comparison of Confidence Interval Methods of Fixed Effect in Nested Error Regression Model
SDÜ Fen Bilimleri Enstitüsü Dergisi, 2016 Linear mixed-effects models are very popular and powerful tools in many scientific fields such as zoology, biology, and education. Estimators of fixed effects do not only depend on the variances of error terms but they also depend on random terms in mixed-effect models.
AKDUR, Hatice Tül Kübra +2 more
openaire +6 more sources
Advanced Science, EarlyView.This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Stacked ensemble and SHAP-based approach for predicting plastic rotational capacity in RC columns
Frontiers in Built EnvironmentThe accurate estimation of plastic rotational capacity in reinforced concrete (RC) elements is essential for performance-based seismic design and structural safety assessments. In this study, an extensive experimental database, comprising 258 rectangular
Andrei-Odey Kadhim +2 more
doaj +1 more source
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data
CoRR, 2018 We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic similarity to train it. The model fuses orthographic information and context as a whole and is trained in an end-to-end fashion. This avoids feature engineering and does not rely on a noisy channel model as in
Hao Li +4 more
openaire +2 more sources
On Export-Led Growth: Is Manufacturing Exports a New Engine of Growth for Bangladesh? [PDF]
The study attempts to empirically verify the export-led growth hypothesis for Bangladesh. In this context, we examine whether manufacturing exports has become a new engine of export-led growth replacing total exports, as claimed by the so-called de novo ...
M.A.Hossain
core
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Best prediction under a nested error model with log transformation
, 2014 In regression models involving economic variables such as income, log transformation is typically taken to achieve approximate normality and stabilize the variance. However, often the interest is predicting individual values or means of the variable in the original scale.
Martin, Nirian, Molina, Isabel
openaire +2 more sources
Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations
Journal of the Royal Statistical Society Series C: Applied Statistics, 2014 SummaryTo account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge can be incorporated in the prior distributions. Recently, integrated nested Laplace approximations have been proven to be a computationally convenient alternative to sampling approaches for Bayesian inference in ...
Muff, Stefanie +4 more
openaire +2 more sources
Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths
Advanced Science, EarlyView.Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears +5 more
wiley +1 more source