Results 51 to 60 of about 1,693,613 (285)

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Probability Density Function of Longitudinal Velocity Increment in Homogeneous Turbulence

, 1998
Two conditional averages for the longitudinal velocity increment u_r of the simulated turbulence are calculated: h(u_r) is the average of the increment of the longitudinal Laplacian velocity field with u_r fixed, while g(u_r) is the corresponding one of ...
Belin F., Castaing B., Chen S., Ching E., Ching E., Ching E., Desnyansky V. I., Dombre T., Friedrich R., Gagne Y., Gledzer E. B., Monin A. S., Nakano T., Obukhov A. M., Praskovsky A., She Z., Siggia E. D., Sinai Ya. G., Takahashi N., Vaienti S., Vincent A., Yakhot V., Yakhot V., Yamada M., Yamamoto K., Zhu Y.   +25 more
core   +1 more source

Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer

Molecular Oncology, EarlyView.
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta, Yang Song, Madeleine Ndahayo, Anirudh Saxena, Theresa Guo, Dylan Z. Kelley, Jessica Gore, Andrew Hennigan, Alexa Anderson, John C. Papadimitriou, Daria A. Gaykalova   +10 more
wiley   +1 more source

Heuristic Kernel Density Estimator for Modal‑Proximity Data

Shuju Caiji Yu Chuli
Different from the classical probability density estimator construction strategies based on the Parzen window method， we propose a heuristic kernel density estimator （HKDE） based on nearest neighbor error measurement function， to improve the accuracy of ...
HE Yulin, CHEN Chunjia, HUANG Zhexue, LI Junjie, FOURNIER‑VIGER Philippe   +4 more
doaj   +1 more source

Turbulence without pressure in d dimensions

, 1999
The randomly driven Navier-Stokes equation without pressure in d-dimensional space is considered as a model of strong turbulence in a compressible fluid. We derive a closed equation for the velocity-gradient probability density function.
A. Chekhlov, A. Polyakov, E. Balkovsky, E. Ivashkevich, J. Zinn-Justin, J.-P. Bouchaud, J.-P. Bouchaud, M. L. Mehta, S. A. Boldyrev, S. Boldyrev, S. Boldyrev, T. Gotoh, T. Gotoh, V. Gurarie, V. Yakhot, V. Yakhot, W. E   +16 more
core   +1 more source

PROBABILITY DENSITY FUNCTIONS OF BREAKING WAVES

Coastal Engineering Proceedings, 1978
Waves in the surf zone are a highly nonlinear process which is evident by the appearance of secondary waves. The secondary waves appear as strong peaks in the period PDFs corresponding to the first harmonic of the peak of the wave spectrum. The strong first harmonic period peak is also reflected in the highly correlated height and velocity PDFs. Due to
Edward B. Thornton, George Schaeffer
openaire   +3 more sources

Fusion of Probability Density Functions

Proceedings of the IEEE, 2022
Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of multiple probability density functions (pdfs) of a continuous random variable or vector.
Koliander, Günther, El-Laham, Yousef, Djurić, Petar M., Hlawatsch, Franz   +3 more
openaire   +2 more sources

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Modified Weighted Pareto Distribution Type I (MWPDTI)

مجلة بغداد للعلوم, 2020
In this paper, the Azzallini’s method used to find a weighted distribution derived from the standard Pareto distribution of type I (SPDTI) by inserting the shape parameter (θ) resulting from the above method to cover the period (0, 1] which was neglected
Mahmood A. Sahmran
doaj   +1 more source

Capillary Flow in Cotton Fabric Based on Fiber Orientation Probability Density Function

Journal of Natural Fibers, 2022
In natural fiber fabrics such as cotton fabric, bleeding and dye transfer in household washing have always been a concern. Due to the complex fabric structure and the closed washing process, a dynamic model for predicting the concentration of bleed dyes ...
Shuaitong Liang, Hongjuan Zhang, Jiping Wang   +2 more
doaj   +1 more source