Results 71 to 80 of about 241,544 (303)
Strong boundedness, strong convergence and generalized variation [PDF]
14 ...
Avdispahić, M., Šabanac, Z.
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Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane +11 more
wiley +1 more source
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Strong Convergence of Viscosity Iteration Methods for Nonexpansive Mappings
We propose a new viscosity iterative scheme for finding fixed points of nonexpansive mappings in a reflexive Banach space having a uniformly Gâteaux differentiable norm and satisfying that every weakly compact convex subset of the space has the fixed ...
Jong Soo Jung
doaj +1 more source
Local Linear Fitting Under Near Epoch Dependence: Uniform consistency with Convergence Rates [PDF]
Local linear fitting is a popular nonparametric method in statistical and econometric modelling. Lu and Linton (2007) established the pointwise asymptotic distribution for the local linear estimator of a nonparametric regression function under the ...
Zudi Lu, Degui Li, Oliver Linton
core
On the convergence of adaptive nonconforming finite element methods for a class of convex variational problems [PDF]
We formulate and analyze an adaptive nonconforming finite element method for the solution of convex variational problems. The class of minimization problems we admit includes highly singular problems for which no Euler–Lagrange equation (or inequality ...
Christoph Ortner +3 more
core +1 more source
Strong Convergence of Distributions of Estimators
Let the parameter space \(\theta\) be an open subset of R k and \(\{T_ n\}^ a \)sequence of estimators of \(\vartheta\in \theta\). Assuming that the locally asymptotically normal condition is satisfied at \(\vartheta_ 0\in \theta\), the author obtained a sufficient condition which assures that for all \(\alpha >0\lim_{n\to \infty}\sup_{| h| \leq \alpha}
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This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source
Relative entropy in diffusive relaxation [PDF]
We establish convergence in the diffusive limit from entropy weak solutions of the equations of compressible gas dynamics with friction to the porous media equation away from vacuum.
Tzavaras, Athanasios E. +1 more
core +1 more source

