Results 31 to 40 of about 1,397,164 (333)

Spurious Inference in Reduced-Rank Asset-Pricing Models [PDF]

Econometrica, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gospodinov, Nikolay, Kan, Raymond, Robotti, Cesare   +2 more
openaire   +1 more source

Carvedilol decrease IL-1β and TNF-α, inhibits MMP-2, MMP-9, COX-2, and RANKL expression, and up-regulates OPG in a rat model of periodontitis. [PDF]

PLoS ONE, 2013
Periodontal diseases are initiated primarily by Gram-negative, tooth-associated microbial biofilms that elicit a host response that causes osseous and soft tissue destruction.
Raimundo Fernandes de Araújo Júnior, Tatiana Oliveira Souza, Caroline Addison Xavier de Medeiros, Lélia Batista de Souza, Maria de Lourdes Freitas, Hévio Freitas de Lucena, Maria do Socorro Costa Feitosa Alves, Aurigena Antunes de Araújo   +7 more
doaj   +1 more source

Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification

IEEE Access, 2021
An increasing number of emerging applications in data science and engineering are based on multidimensional and structurally rich data. The irregularities, however, of high-dimensional data often compromise the effectiveness of standard machine learning ...
Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis   +5 more
doaj   +1 more source

Bifurcation Diagram of the Model of a Lagrange Top with a Vibrating Suspension Point

Mathematics, 2023
The article considers a model system that describes a dynamically symmetric rigid body in the Lagrange case with a suspension point that performs high-frequency oscillations. This system, reduced to axes rigidly connected to the body, after the averaging
Pavel E. Ryabov, Sergei V. Sokolov
doaj   +1 more source

Some classes of renormalizable tensor models

, 2013
We identify new families of renormalizable of tensor models from anterior renormalizable tensor models via a mapping capable of reducing or increasing the rank of the theory without having an effect on the renormalizability property. Mainly, a version of
Geloun, Joseph Ben, Livine, Etera R.
core   +1 more source

Reduced-rank adaptive least bit-error-rate detection in hybrid direct-sequence time-hopping ultrawide bandwidth systems

, 2011
Design of high-efficiency low-complexity detection schemes for ultrawide bandwidth (UWB) systems is highly challenging. This contribution proposes a reduced-rank adaptive multiuser detection (MUD) scheme operated in least bit-errorrate (LBER) principles ...
Ahmed, Qasim, Chen, Sheng, Yang, Lie-Liang   +2 more
core   +1 more source

Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors [PDF]

, 2011
This paper investigates the cross-correlations across multiple climate model errors. We build a Bayesian hierarchical model that accounts for the spatial dependence of individual models as well as cross-covariances across different climate models.
Huang, Jianhua Z., Jun, Mikyoung, Sang, Huiyan   +2 more
core   +4 more sources

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB

Journal of Statistical Software
Multivariate random effects with unstructured variance-covariance matrices of large dimensions, q, can be a major challenge to estimate. In this paper, we introduce a new implementation of a reduced-rank approach to fit large dimensional multivariate ...
Maeve McGillycuddy, Gordana Popovic, Benjamin M. Bolker, David I. Warton   +3 more
doaj   +1 more source

Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices

Genetics Selection Evolution, 2005
Principal component analysis is a widely used 'dimension reduction' technique, albeit generally at a phenotypic level. It is shown that we can estimate genetic principal components directly through a simple reparameterisation of the usual linear, mixed ...
Kirkpatrick Mark, Meyer Karin
doaj   +1 more source