Results 61 to 70 of about 227,595 (269)
In this paper, we investigate residual-based a posteriori error estimates for the hp version of the finite element approximation of nonlinear parabolic optimal control problems.
Zuliang Lu +3 more
doaj +1 more source
Error Bounds for Approximation with Neural Networks
The paper considers neural network approximations with shifts of so-called ridge functions \(\sigma(a_j^Tx+b_j)\). Linear combinations of such ridge functions correspond to a neural network with a single hidden layer. Of particular interest are the approximation orders that are obtainable with these approximations to functions from Sobolev spaces.
Martin Burger 0001, Andreas Neubauer
openaire +3 more sources
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Efficient by Precision Algorithms for Approximating Functions from Some Classes by Fourier Series
Introduction. The problem of approximation can be considered as the basis of computational methods, namely, the approximation of individual functions or classes of functions by functions that are in some sense simpler than the functions being ...
Olena Kolomys
doaj +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Optimal with Respect to Accuracy Recovery of Some Classes Functions by Fourier Series
Introduction. Function approximation (approximation or restoration) is widely used in data analysis, model building, and forecasting. The goal of function approximation is to find the function that best approximates the original function.
Olena Kolomys
doaj +1 more source
Learning Rates for -Regularized Kernel Classifiers
We consider a family of classification algorithms generated from a regularization kernel scheme associated with -regularizer and convex loss function. Our main purpose is to provide an explicit convergence rate for the excess misclassification error of ...
Hongzhi Tong +2 more
doaj +1 more source
Prospecting the protein design landscape
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
The error in discrete Φ-approximation
Let \(\phi:\left[ 0,\infty\right) \to\left[ 0,\infty\right) \) be a convex function (\(\phi\left( 0\right) =0,\phi\left( x\right) >0\) for \(x>0\)) and \(\left( \Omega,\mathcal{A},\mu\right)\) a space with a finite measure \(\mu\), where \(\Omega={\mathbf N}\) or a finite part of \(\mathbf{N}\) and \(\mathcal{A}=2^{\Omega}\).
openaire +2 more sources
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil +3 more
wiley +1 more source

