Results 51 to 60 of about 306,480 (186)
, 1998 We propose an efficient numerical algorithm for solving integral equations of the theory of liquids in the Reference Interaction Site Model (RISM) approximation for infinitely dilute solution of macromolecules with a large number of atoms.
A. V. Gorelov +10 more
core +1 more source
Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway
Molecular Oncology, EarlyView.Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed +10 more
wiley +1 more source
On Improving Computational Efficiency of Simplified Fluid Flow Models
Chemical Engineering Transactions, 2018 Single-core computational efficiency of several iterative methods for numerical solution of nonsymmetric linear systems originating from simplified fluid flow models is evaluated together with different preconditioning techniques in terms of solution ...
Vojtech Turek
doaj +1 more source
A randomized Kaczmarz algorithm with exponential convergence
, 2007 The Kaczmarz method for solving linear systems of equations is an iterative algorithm that has found many applications ranging from computer tomography to digital signal processing.
Strohmer, Thomas, Vershynin, Roman
core +2 more sources
Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
An Efficient Sixth-Order Newton-Type Method for Solving Nonlinear Systems
Algorithms, 2017 In this paper, we present a new sixth-order iterative method for solving nonlinear systems and prove a local convergence result. The new method requires solving five linear systems per iteration.
Xiaofeng Wang, Yang Li
doaj +1 more source
Optimal additive Schwarz preconditioning for adaptive 2D IGA boundary element methods
, 2019 We define and analyze (local) multilevel diagonal preconditioners for isogeometric boundary elements on locally refined meshes in two dimensions. Hypersingular and weakly-singular integral equations are considered.
Führer, Thomas +3 more
core +1 more source
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Iterative Matrix Inversion Based Low Complexity Detection in Large/Massive MIMO Systems
, 2015 Linear detectors such as zero forcing (ZF) or minimum mean square error (MMSE) are imperative for large/massive MIMO systems for both the downlink and uplink scenarios.
Chaturvedi, A. K. +2 more
core +1 more source