Results 21 to 30 of about 444,093 (258)

Analysis of epistasis: A genetic model for triploid endosperm traits

open access: yes浙江大学学报. 农业与生命科学版, 2007
A genetic model for triploid endosperm traits was proposed on the basis of diallel cross system to analyze additive by additive epistasis of direct effect (AA) and maternal effect (AmAm) along with direct additive effect, dominance effect, cytoplasm ...
CHENG Jun-qi   +3 more
doaj   +1 more source

Local Matrix Feature-Based Kernel Joint Sparse Representation for Hyperspectral Image Classification

open access: yesRemote Sensing, 2022
Hyperspectral image (HSI) classification is one of the hot research topics in the field of remote sensing. The performance of HSI classification greatly depends on the effectiveness of feature learning or feature design. Traditional vector-based spectral–
Xiang Chen   +3 more
doaj   +1 more source

The calibration of GPS receivers applying the calibration bases

open access: yesGeodesy and Cartography, 2012
Till now there are no written standards and other legal documents for the calibration of GPS receivers. Self-calibration procedures are used for calibration of some types of instrument.
Jonas Skeivalas, Raimundas Putrimas
doaj   +1 more source

Pricing of Pseudo-Swaps Based on Pseudo-Statistics

open access: yesRisks, 2023
The main problem in pricing variance, volatility, and correlation swaps is how to determine the evolution of the stochastic processes for the underlying assets and their volatilities.
Sebastian Franco, Anatoliy Swishchuk
doaj   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Construction of nonsingular formulae of variance and covariance function of disturbing gravity gradient tensors

open access: yesGeodesy and Geodynamics, 2013
When the computational point is approaching the poles, the variance and covariance formulae of the disturbing gravity gradient tensors tend to be infinite, and this is a singular problem.
Liu Xiaogang   +3 more
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

On the Joint Analysis of the Total Discounted Payments to Policyholders and Shareholders: Dividend Barrier Strategy

open access: yesRisks, 2015
In the compound Poisson insurance risk model under a dividend barrier strategy, this paper aims to analyze jointly the aggregate discounted claim amounts until ruin and the total discounted dividends until ruin, which represent the insurer’s payments to ...
Eric C.K. Cheung   +2 more
doaj   +1 more source

Critical Evaluation of Common Claims in Loop Quantum Cosmology

open access: yesUniverse, 2020
A large number of models have been analyzed in loop quantum cosmology, using mainly minisuperspace constructions and perturbations. At the same time, general physics principles from effective field theory and covariance have often been ignored.
Martin Bojowald
doaj   +1 more source

Bayes linear covariance matrix adjustment [PDF]

open access: yes, 1995
In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
core  

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