Results 51 to 60 of about 296,284 (267)
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
OpenFOAM iterative methods efficiency analysis for linear systems solving
Significant part of the computational work in numerical simulations of technical systems, physical phenomena and technological processes is solving of linear algebraic equations systems arising from the discretization of the corresponding differential or
I. K. Marchevsky, V. V. Puzikova
doaj
Order reduction approaches for the algebraic Riccati equation and the LQR problem
We explore order reduction techniques for solving the algebraic Riccati equation (ARE), and investigating the numerical solution of the linear-quadratic regulator problem (LQR).
A Alla +27 more
core +1 more source
A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak +8 more
wiley +1 more source
On Improving Computational Efficiency of Simplified Fluid Flow Models
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
In over 50% of non‐metastatic breast cancer patients, circulating tumor cells (CTCs) along the whole epithelial‐mesenchymal transition spectrum are detected. Total CTC number and individual phenotypes relate to aggressive disease characteristics, including lymph node involvement and higher tumor proliferation. At the single‐cell level, mesenchymal CTCs
Justyna Topa +14 more
wiley +1 more source
A randomized Kaczmarz algorithm with exponential convergence
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
Numerička analiza direktne Gaussove i iterativne Gauss-Seidelove metode kod linearnih sustava s velikim brojem nepoznanica [PDF]
Sustavi linearnih jednadžbi mogu se riješiti direktnim i iterativnim metodama. Odabir optimalne metode ovisi o karakteru sustava koji rješavamo. Prije postupka rješavanja potrebno je dokazati da sustav zadovoljava različite uvjete nužne za provođenje odabrane metode.
Grbčić Erdelj, Sara +2 more
openaire +1 more source
Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins
We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó +7 more
wiley +1 more source
An Efficient Sixth-Order Newton-Type Method for Solving Nonlinear Systems
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

