Results 91 to 100 of about 1,090,569 (315)

Newton's Method and the Jenkins-Traub Algorithm [PDF]

Proceedings of the American Mathematical Society, 1986
In this paper we propose to show how a multi-increment version of Newton’s method can be used to obtain starting points for the Jenkins-Traub algorithm.
openaire   +2 more sources

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

An Application of Modified S-CLSVOF Method to Kelvin-Helmholtz Instability and Comparison with Theoretical Result

Journal of Chemical Engineering of Japan
This study focuses on validating a two-phase flow solver based on the modified Simple Coupled Level Set and Volume of Fluid method (Uchihashi et al. 2023) through viscous Kelvin-Helmholtz instability simulations.
Naoki Shimada, Mako Sato, Yuta Yaegashi, Thorsten Koch, Thi Thai Le   +4 more
doaj   +1 more source

Validation of minor species of the MIPAS2D database

Annals of Geophysics, 2014
The MIPAS2D [Dinelli et al., 2010] database has been developed applying the tomographic analysis technique GMTR [Carlotti et al., 2001] to measurements acquired in the nominal observation mode of the complete MIPAS (Michelson Interferometer for Passive ...
Enzo Papandrea, Stefano Casadio, Enrico Arnone, Massimo Carlotti, Elisa Castelli, Marta De Laurentis, Bianca Maria Dinelli   +6 more
doaj   +1 more source

RGFGA: An efficient representation and crossover for grouping genetic algorithms

, 2005
There is substantial research into genetic algorithms that are used to group large numbers of objects into mutually exclusive subsets based upon some fitness function. However, nearly all methods involve degeneracy to some degree.
Crampton, J, Tucker, A, Swift, S
core  

Incremental multiple objective genetic algorithms

, 2004
This paper presents a new genetic algorithm approach to multi-objective optimization problemsIncremental Multiple Objective Genetic Algorithms (IMOGA).
Chen, Q, Guan, SU, Chen, Q., Guan, S.-U.
core   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Editorial: Focus on methods: neural algorithms for bio-inspired robotics. [PDF]

Front Neurorobot, 2023
Patanè L, Zhao G.
europepmc   +1 more source

An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

, 2004
Minimum cut/maximum flow algorithms on graphs have emerged as an increasingly useful tool for exactor approximate energy minimization in low-level vision.
Yuri Boykov, Kolmogorov, V., Vladimir Kolmogorov, Boykov, Y.   +3 more
core  

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source