Results 51 to 60 of about 246,146 (289)

Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization

open access: yesIEEE Access, 2020
The detection of bearing faults is of great significance for the stable operation of rotating machinery. Apart from detection by analysing the vibration response, another powerful strategy is to extract the periodic impulse excitation directly induced by
Lin Liang   +5 more
doaj   +1 more source

Deconvolution for an atomic distribution [PDF]

open access: yes, 2008
Let $X_1,...,X_n$ be i.i.d. observations, where $X_i=Y_i+\sigma Z_i$ and $Y_i$ and $Z_i$ are independent. Assume that unobservable $Y$'s are distributed as a random variable $UV,$ where $U$ and $V$ are independent, $U$ has a Bernoulli distribution with ...
Gugushvili, Shota   +2 more
core   +4 more sources

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

Determination of EPID convolution kernels for portal imaging using carbon target bremsstrahlung

open access: yesCurrent Directions in Biomedical Engineering, 2017
Improving the accuracy and reproducibility during patient positioning is of paramount importance. Hence, the goal of this work is to characterize the aspects of image blurring occurring during carbon target bremsstrahlung portal imaging and to assess the
Lüdeke Sascha   +5 more
doaj   +1 more source

Magnetization transitions obtained by deconvolution of measured replay pulses in perpendicular magnetic recording [PDF]

open access: yes, 1986
Magnetization transitions in perpendicular magnetic recording have been calculated from measured replay pulses by a deconvolution algorithm using an analytical expression for the field of a probe head (PH). The transitions appear to be asymmetric whereby
Bie, R.W. de   +3 more
core   +3 more sources

Regression‐assisted deconvolution [PDF]

open access: yesStatistics in Medicine, 2011
AbstractWe present a semi‐parametric deconvolution estimator for the density function of a random variable biX that is measured with error, a common challenge in many epidemiological studies. Traditional deconvolution estimators rely only on assumptions about the distribution of X and the error in its measurement, and ignore information available in ...
Julie, McIntyre, Leonard A, Stefanski
openaire   +2 more sources

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

open access: yesMolecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura   +19 more
wiley   +1 more source

Contrast-Enhancing Spatial–Frequency Deconvolution-Aided Interferometric Scattering Microscopy (iSCAT)

open access: yesPhotonics
Interferometric scattering microscopy (iSCAT) is widely used for label-free tracking of nanoparticles and single molecules. However, its ability to identify small molecules is limited by low imaging contrast blurred with noise.
Xiang Zhang, Hao He
doaj   +1 more source

A Review of Time Relaxation Methods

open access: yesFluids, 2017
The time relaxation model has proven to be effective in regularization of Navier–Stokes Equations. This article reviews several published works discussing the development and implementations of time relaxation and time relaxation models (TRMs), and how ...
Sean Breckling, Monika Neda, Tahj Hill
doaj   +1 more source

Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks

open access: yes, 2019
We present a semi-blind, spatially-variant deconvolution technique aimed at optical microscopy that combines a local estimation step of the point spread function (PSF) and deconvolution using a spatially variant, regularized Richardson-Lucy algorithm. To
Liebling, Michael, Shajkofci, Adrian
core   +1 more source

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