Results 241 to 250 of about 324,322 (267)

Learning to optimize based on rate decay

The Computer Journal
Abstract Learning to optimize (L2O) is a technique that uses neural networks to learn optimization algorithms automatically. While it holds promise for diverse optimization problems, achieving consistently ideal results remains a challenge. Typically, L2O through a parameterized optimization method (i.e.
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Toward the discovery of matter creation with neutrinoless ββ decay

Reviews of Modern Physics, 2023
M Agostini, G Benato, Jason A Detwiler
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Nonsense-mediated RNA decay: an emerging modulator of malignancy

Nature Reviews Cancer, 2022
Kun Tan, Dwayne Stupack, Miles F Wilkinson   +2 more
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Molecular Motion and Nonradiative Decay: Towards Efficient Photothermal and Photoacoustic Systems

Angewandte Chemie - International Edition, 2022
Ruquan Ye, Hanchen Shen, Jacky W Y Lam
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Excimer‐Mediated Ultrafast Intermolecular Nonradiative Decay Enables Giant Photothermal Performance for Optimized Phototheranostic

Advanced Materials, 2023
Xiaofei Miao, Mingxuan Jia, Tingchao He   +2 more
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Rates of decay

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1996
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Proton Decay Rate.

Physical Review Letters, 1982
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Quality and quantity control of gene expression by nonsense-mediated mRNA decay

Nature Reviews Molecular Cell Biology, 2019
Tatsuaki Kurosaki, Lynne E Maquat
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Regulation of cytoplasmic mRNA decay

Nature Reviews Genetics, 2012
Daniel R Schoenberg, Lynne E Maquat
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Nonsense-mediated mRNA decay: an intricate machinery that shapes transcriptomes

Nature Reviews Molecular Cell Biology, 2015
Søren Lykke-Andersen, Torben Heick Jensen   +1 more
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