Expanding control of the tumor cell cycle with a CDK2/4/6 inhibitor
K Freeman-Cook, RL Hoffman, N Miller, J Almaden… - Cancer cell, 2021 - cell.com
Summary The CDK4/6 inhibitor, palbociclib (PAL), significantly improves progression-free
survival in HR+/HER2− breast cancer when combined with anti-hormonals. We sought to …
survival in HR+/HER2− breast cancer when combined with anti-hormonals. We sought to …
Methods in detection of median filtering in digital images: a survey
When it comes to reducing impulsive noise from digital photos, the Median Filter (MF) is a
nonlinear filter that can be employed effectively. This nonlinear filter is used to erase traces …
nonlinear filter that can be employed effectively. This nonlinear filter is used to erase traces …
Improved gradient neural networks for solving Moore–Penrose inverse of full-rank matrix
X Lv, L Xiao, Z Tan, Z Yang, J Yuan - Neural Processing Letters, 2019 - Springer
Being with parallel-computation nature and convenience of hardware implementation, linear
gradient neural networks (LGNN) are widely used to solve large-scale online matrix …
gradient neural networks (LGNN) are widely used to solve large-scale online matrix …
Forensic analysis and detection using polycolor model binary pattern for colorized images
Image recoloring is used to colorize historic grayscale images. Recoloring gives new life to
grayscale images with realistic colors. Several techniques exist that can colorize grayscale …
grayscale images with realistic colors. Several techniques exist that can colorize grayscale …
[图书][B] Machine learning in the prediction of flat horse racing results in Poland
P Borowski, M Chlebus - 2021 - wne.uw.edu.pl
Horse racing was the source of many researchers considerations who studied market
efficiency and applied complex mathematic formulas to predict their results. We were the first …
efficiency and applied complex mathematic formulas to predict their results. We were the first …
Toward identification of the risk group of food products: Chemometric assessment of heavy metals content in confectionery products
S Kovačević, I Lončarević, B Pajin, A Fišteš… - Food Additives & …, 2019 - Taylor & Francis
The main raw material for cookies production is wheat flour (white or wholemeal/integral) as
a nutritionally highly valuable component. In addition to the benefits it brings, this raw …
a nutritionally highly valuable component. In addition to the benefits it brings, this raw …
[PDF][PDF] Regularized nonnegative matrix factorization: Geometrical interpretation and application to spectral unmixing
R Zdunek - 2014 - intapi.sciendo.com
Nonnegative Matrix Factorization (NMF) is an important tool in data spectral analysis.
However, when a mixing matrix or sources are not sufficiently sparse, NMF of an observation …
However, when a mixing matrix or sources are not sufficiently sparse, NMF of an observation …
Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models
M Pauly, Ł Smaga - Statistical Methods in Medical Research, 2020 - journals.sagepub.com
Coefficients of variations are unit-free measures that can, for example, be used to compare
the variability of different samples. To this end, we study inference methods for them as well …
the variability of different samples. To this end, we study inference methods for them as well …
SPAM revisited for median filtering detection using higher‐order difference
S Agarwal, S Chand, N Skarbnik - Security and Communication …, 2016 - Wiley Online Library
In this paper, we propose a robust median filtering detection scheme utilizing the conditional
joint distribution of high‐order differences. The higher‐order differences provide additional …
joint distribution of high‐order differences. The higher‐order differences provide additional …
[PDF][PDF] Dimension reduction for objects composed of vector sets
M Szemenyei, F Vajda - International Journal of Applied Mathematics …, 2017 - sciendo.com
Dimension reduction and feature selection are fundamental tools for machine learning and
data mining. Most existing methods, however, assume that objects are represented by a …
data mining. Most existing methods, however, assume that objects are represented by a …