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Because SEIRAS was introduced to the field of biomolecules only recently, we consider it worthwhile to start with practical aspects of the method.
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Recently, we considered in [11] the same equation (1.3) with the fractional boundary condition y(a) = ^{C} D_{a^^{beta} y(b)= 0, where (0 < betale1).
Recently, we considered successively the operator equation (1.1) and the following operator equation: A ( x, x ) + B x = x, (1.2). the operators A, B in (1.1) are increasing, α-concave and sub-homogeneous, respectively; the operators A, B in (1.2) are mixed monotone and increasing α-concave (or sub-homogeneous), respectively.
And if I did I wouldn't trust myself, because according to an article I read recently what we consider a memory is actually a memory of a memory, which we refine every time we tell it.
"If we could keep the NRA from endorsing Phil Gramm," Dole campaign manager Scott Reed said recently, "we'll consider it a victory". Against that backdrop, it's possible to make a persuasive case, in terms of primary election politics, for Dole's recent announcement that he would seek to overturn the assault weapon ban.
The answer came only recently and here we consider the case of equations of the type (13).
Various penalized methods have been recently proposed, and we consider five penalized methods in our comparison: ridge [ 29], LASSO [ 30], elastic-net [ 31], SCAD [ 32], and truncated ridge (TR) [ 33– 33].
Very recently, we [17] considered the fractional impulsive differential equations with delay, and the resonance case in [18].
Recently, we demonstrated, what we consider a key explanation for the potent synergy between TNF- α and chemotherapy, an up to six-fold increased intratumoural melphalan or doxorubicin concentration in rat sarcomas after ILP when high-dose TNF- α was coadministrated (de Wilt et al, 2000; van der Veen et al, 2000).
In this paper we consider the recently proposed rakeness-based compressed sensing (CS) paradigm along with its zeroing companion.
In this paper, we consider a recently proposed model for portfolio selection, called Mean-Downside Risk-Skewness (MDRS) model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com