Results 241 to 250 of about 326,648 (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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Nonsense-mediated RNA decay: an emerging modulator of malignancy

Nature Reviews Cancer, 2022
Miles Wilkinson, Kun Tan, Tan Kun
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Molecular Motion and Nonradiative Decay: Towards Efficient Photothermal and Photoacoustic Systems

Angewandte Chemie - International Edition, 2022
Lam Wing Yip, Tang Benzhong, Ruquan Ye
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Excimer‐Mediated Ultrafast Intermolecular Nonradiative Decay Enables Giant Photothermal Performance for Optimized Phototheranostic

Advanced Materials, 2023
Wenbo Hu
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Rates of decay

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1996
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Quality and quantity control of gene expression by nonsense-mediated mRNA decay

Nature Reviews Molecular Cell Biology, 2019
Lynne Maquat, Tatsuaki Kurosaki, Kurosaki Tatsuaki   +2 more
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Dhh1p condemns mRNAs with non-optimal codons to decay

Nature Reviews Molecular Cell Biology, 2016
Zlotorynski Eytan, Eytan Zlotorynski
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Regulation of cytoplasmic mRNA decay

Nature Reviews Genetics, 2012
Lynne Maquat, Daniel Schoenberg, Schoenberg Daniel R   +2 more
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Nonsense-mediated mRNA decay: an intricate machinery that shapes transcriptomes

Nature Reviews Molecular Cell Biology, 2015
Torben Heick Jensen, Søren Lykke-Andersen, Jensen Torben Heick   +2 more
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Proton Decay Rate.

Physical Review Letters, 1982
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