Results 101 to 110 of about 36,010,976 (311)
The indefinite proximal gradient method
Computational Optimization and Applications24 pages, 7 figures, 7 ...
Geoffroy Leconte, Dominique Orban
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The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity
Molecular Oncology, EarlyView.Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli +7 more
wiley +1 more source
Hydraulic Analysis of Water Distribution Networks Based on the Gradient Matrix Form and Comparing it with Other Conventional Methods [PDF]
مهندسی منابع آب, 2014 Hydraulic analysis of water networks consists of determination of the discharge rate in each pipe and the piezometric head at nodes. Benefiting from the matrices algebra, and developing equations following the Taylor series, the gradient method ...
M. H, S. R, S.M N
doaj
Plug-In Stochastic Gradient Method
CoRR, 2018 To be presented at International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop ...
Yu Sun 0022 +2 more
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Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Exact gradient methods with memory
Optimization Methods and Software, 2022 The Inexact Gradient Method with Memory (IGMM) is able to considerably outperform the Gradient Method by employing a piece-wise linear lower model on the smooth part of the objective. However, the auxiliary problem can only be solved within a fixed tolerance at every iteration.
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Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
On the convergence of a method for solving two point boundary value problems by optimal control
Journal of Numerical Analysis and Approximation Theory, 2002 Using the idea of the least squares method, a nonlinear two point boundary value problem is transformed into an optimal control problem. For solving the optimal control problem the gradient method is used.
Ernest Scheiber
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Gradient-based Reinforcement Planning in Policy-Search Methods
, 2001 We introduce a learning method called ``gradient-based reinforcement planning'' (GREP). Unlike traditional DP methods that improve their policy backwards in time, GREP is a gradient-based method that plans ahead and improves its policy before it actually
Hutter, Marcus +2 more
core +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source