Results 71 to 80 of about 395,319 (323)

Four Steps Implicit Method for the Solution of General Second Order Ordinary Differential Equations [PDF]

, 2009
Four steps implicit scheme for the solution of second order ordinary differential equation was derived through interpolation and collocation method. Newton polynomial approximation method was used to generate the unknown parameters in the corrector ...
Adesanya, A.O., Anake, T. A., Oghonyon, J. G., Osilagun, J.A.   +3 more
core  

Picard-Fuchs equations for Feynman integrals

, 2013
We present a systematic method to derive an ordinary differential equation for any Feynman integral, where the differentiation is with respect to an external variable. The resulting differential equation is of Fuchsian type. The method can be used within
Müller-Stach, Stefan, Weinzierl, Stefan, Zayadeh, Raphael   +2 more
core   +1 more source

Rad27/FEN1 prevents accumulation of Okazaki fragments and ribosomal DNA copy number changes

FEBS Letters, EarlyView.
The budding yeast Rad27 is a structure‐specific endonuclease. Here, the authors reveal that Rad27 is crucial for maintaining the stability of the ribosomal RNA gene (rDNA) region. Rad27 deficiency leads to the accumulation of Okazaki fragments and changes in rDNA copy number.
Tsugumi Yamaji, Yuko Katayama, Nanase Arata, Mariko Sasaki   +3 more
wiley   +1 more source

Doubly Periodic Meromorphic Solutions of Autonomous Nonlinear Differential Equations

Моделирование и анализ информационных систем, 2014
The problem of constructing and classifying elliptic solutions of nonlinear differential equations is studied. An effective method enabling one to find an elliptic solution of an autonomous nonlinear ordinary differential equation is described.
M. V. Demina, N. A. Kudryashov
doaj   +1 more source

Computability of Ordinary Differential Equations [PDF]

, 2018
In this paper we provide a brief review of several results about the computability of initial-value problems (IVPs) defined with ordinary differential equations (ODEs). We will consider a variety of settings and analyze how the computability of the IVP will be affected.
Graça, Daniel, Zhong, Ning
openaire   +3 more sources

Modified Block Method for the Direct Solution of Second Order Ordinary Differential Equations [PDF]

, 2011
The direct solution of general second order ordinary differential equations is considered in this paper. The method is based on the collocation and interpolation of the power series approximate solution to generate a continuous linear multistep method ...
Adebile, E.A., Adesanya, A.O., Anake, T. A., Awoyemi, D. O.   +3 more
core  

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Computational issues of solving the 1D steady gradually varied flow equation

Journal of Hydrology and Hydromechanics, 2014
In this paper a problem of multiple solutions of steady gradually varied flow equation in the form of the ordinary differential energy equation is discussed from the viewpoint of its numerical solution.
Artichowicz Wojciech, Szymkiewicz Romuald   +1 more
doaj   +1 more source

A Recipe for State Dependent Distributed Delay Differential Equations

, 2018
We use the McKendrick equation with variable ageing rate and randomly distributed maturation time to derive a state dependent distributed delay differential equation.
Cassidy, Tyler, Craig, Morgan, Humphries, Antony R.   +2 more
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source