Results 201 to 210 of about 957,134 (330)

​​Classified modeling and day-ahead optimal scheduling of multi-type adjustable industrial loads in industrial microgrid using improved approximate dynamic programming. [PDF]

Sci Rep
Sun T, Yang P, Sun Y, Luo X, Lu J, Duan K.   +5 more
europepmc   +1 more source

Discounted Dynamic Programming

The Annals of Mathematical Statistics, 1965
openaire   +2 more sources

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

Aging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang, Zhong Fan, Runmeng Liu, Xiaotian Zhang   +3 more
wiley   +1 more source

CausNet-partial: 'Partial Generational Orderings' based search for optimal sparse Bayesian networks via dynamic programming with parent set constraints. [PDF]

PLoS One
Sharma N, Millstein J.
europepmc   +1 more source

Improvement of LV Reverse Remodeling Using Dynamic Programming of Fusion-Optimized Atrioventricular Intervals in Cardiac Resynchronization Therapy. [PDF]

Front Cardiovasc Med, 2021
Wang Z, Li P, Zhang B, Huang J, Chen S, Cai Z, Qin Y, Fan J, Tang W, Qin Y, Li R, Zhao X.   +11 more
europepmc   +1 more source

INVERSE DYNAMIC PROGRAMMING

Memoirs of the Faculty of Science, Kyushu University. Series A, Mathematics, 1976
openaire   +3 more sources

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Optimal control under safety constraints and disturbances: a multi-step, off-policy adaptive dynamic programming approach. [PDF]

Nonlinear Dyn
Ye J, Zhao X, Bian Y, Hu M, Dong H.
europepmc   +1 more source

GADP-align: A genetic algorithm and dynamic programming-based method for structural alignment of proteins. [PDF]

Bioimpacts, 2021
Mirzaei S, Razmara J, Lotfi S.
europepmc   +1 more source

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source