Results 71 to 80 of about 76,654 (163)
Coupled Clustering in Hierarchical Matrices for the Oseen Problem
Fluid flow problems can be modelled by the Navier‐Stokes or, after linearization, by the Oseen equations. Their discretization results in linear systems in saddle point form which are typically very large and need to be solved iteratively. We propose a novel block structure for hierarchical matrices which is then used to build preconditioners for the ...
Jonas Grams, Sabine Le Borne
wiley +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Efficient local strategies for vaccination and network attack
We study how a fraction of a population should be vaccinated to most efficiently top epidemics. We argue that only local information (about the neighborhood of specific vertices) is usable in practice, and hence we consider only local vaccination ...
Erdös P. +4 more
core +1 more source
Abstract Background Children and young people with pre‐existing mental health and neurodevelopmental conditions may have experienced heterogeneous mental health impacts during the COVID‐19 pandemic, but what facts may explain these variations are still unclear. We aimed to examine variations in the longitudinal trajectories of emotional and behavioural
Brian C. F. Ching +8 more
wiley +1 more source
Refined Analysis of the Electroweak Precision Data
We refine our recent analysis of the electroweak precision data at the \PZO\ pole by including the hadronic decay modes of the \PZO. Within the framework of an effective Lagrangian we parametrize $SU(2)$ violation by the additional process-specific ...
Abe +34 more
core +1 more source
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano +5 more
wiley +1 more source
The Bazaar as a Model for Knowledge Work
ABSTRACT This paper presents fieldwork that extends existing metaphors of knowledge work as a process shaped by hierarchical or market forces. A qualitative, ethnographic study of six knowledge‐intensive businesses in two countries identifies striking parallels with the Middle Eastern bazaar in contrast to Western impersonal markets and hierarchies. We
Reed Elliot Nelson +2 more
wiley +1 more source
The transition to chaos of coupled oscillators: An operator fidelity susceptibility study
The operator fidelity is a measure of the information-theoretic distinguishability between perturbed and unperturbed evolutions. The response of this measure to the perturbation may be formulated in terms of the operator fidelity susceptibility (OFS), a ...
Giorda, Paolo +2 more
core +1 more source
Abstract Photosynthetic pigment fluorescence is commonly used in limnology and oceanography as a proxy for phytoplankton biomass. Fluorometry has been used to detect subsurface algal blooms, characterize dynamics of the deep chlorophyll layer, and to provide greater vertical resolution to phytoplankton monitoring.
Katya E. Kovalenko +6 more
wiley +1 more source
Random Networks with Tunable Degree Distribution and Clustering
We present an algorithm for generating random networks with arbitrary degree distribution and Clustering (frequency of triadic closure). We use this algorithm to generate networks with exponential, power law, and poisson degree distributions with ...
D. J. Watts +8 more
core +2 more sources

