Results 111 to 120 of about 2,544,042 (295)
Structural Properties of Yukawa One‐Component Plasmas Revisited
Contributions to Plasma Physics, EarlyView.ABSTRACTYukawa one‐component plasmas are fully described in terms of the Coulomb coupling parameter Γ$$ \Gamma $$ and the screening parameter κ$$ \kappa $$. One of their remarkable properties is the existence of lines of constant effective coupling, Γeff(Γ,κ)$$ {\Gamma}_{\mathrm{eff}}\left(\Gamma, \kappa \right) $$, along which their short‐range ...
Daniels Krimans, Hanno Kählert
wiley +1 more source
HeliyonThis study aimed to identify the most effective first-line treatment for patients with metastatic colorectal cancer based on overall survival, identify the most commonly used treatment, and generate a meaningful ranking among all available treatments ...
Fatemeh Keshavarzi +5 more
doaj +1 more source
Multivariate ARCH with spatial effects for stock sector and size [PDF]
This paper applies a new spatial approach for the specfication of multivariate GARCH models, called Spatial Effects in ARCH, SEARCH. We consider spatial dependence associated with industrial sectors and capitalization size.
Caporin Massimiliano, Paruolo Paolo
core
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.The fluoroamide‐based deep eutectic electrolyte with fluoroethylene carbonate efficiently enhances the safety performance of Ni‐rich ternary lithium metal batteries. Fluoroethylene carbonate undergoes preferential reaction at the electrode surface, forming a LiF‐rich interphase layer that contributes to enhanced long‐term cycling performance of the ...
Yuanxin Gao +12 more
wiley +1 more source
Seizure forecasting with epilepsy cycles: On the causality of forecasting pipelines
Epilepsia, EarlyView.Abstract Objective Seizure risk is modulated by multiscale brain rhythms. Previous studies using cycles in electroencephalography, heart rate, and wearable data suggest the possibility of forecasting seizures days in advance. However, they commonly rely on methods requiring (days of) information from time points beyond the moment of forecast (noncausal
Hongliu Yang +6 more
wiley +1 more source
Optimal Parametric Search on Graphs of Bounded Tree-Width
Journal of Algorithms, 1994 Summary: We give linear-time algorithms for a class of parametric search problems on weighted graphs of bounded tree-width. We also discuss the implications of our results to approximate parametric search on planar graphs.
Fernández-Baca, David, Slutzki, Giora
openaire +4 more sources
Characteristics of Intense Multi‐Day Wet Spells Over West Africa
International Journal of Climatology, EarlyView.The study reveals a significant increase in intense wet spells, particularly in KASS‐D, emphasising the value of dense rain‐gauge networks. Larger‐sized events have grown, while smaller ones declined, boosting 3‐day and 5‐day wet spells' contribution to annual rainfall, with the Guinea Coast showing the highest increase and the Sahel the lowest ...
Oluwaseun. W. Ilori +3 more
wiley +1 more source
Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
International Journal of Climatology, EarlyView.This study applies stochastic rainfall models combining Markov Chains with gamma and mixed exponential distributions to a semi‐arid climate in Northeast Brazil. Model structures were evaluated using Bayesian Information Criterion (BIC), with maximum likelihood (MLM) for parameter estimation and cumulative distribution functions (CDFs) for validation ...
Gabriel Magno Cavalcante Calado +5 more
wiley +1 more source
Spatial effects in multivariate ARCH [PDF]
This paper proposes a new approach for the specification of multivariate GARCH models for data sets with a potentially large cross-section dimension.
Caporin Massimiliano, Paruolo Paolo
core