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PRIME: an interpretable artificial intelligence model based on liquid biopsy improves prediction of progression risk in non-small cell lung cancer. [PDF]
Wang Y +9 more
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EMO-PEGASIS: A Dual-Phase Machine Learning Protocol for Energy Delay Optimisation in WSNs. [PDF]
Juwaied A.
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Pressurized solvent extraction of secondary char from hydrothermal carbonization: sample preparation and analytical strategy shape GC-MS results. [PDF]
Adair JL, Pecchi M, Goldfarb JL.
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The Efficacy of Electronic Health Record-Based Artificial Intelligence Models for Early Detection of Pancreatic Cancer: A Systematic Review and Meta-Analysis. [PDF]
Makiev GG +5 more
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NN→πd and NN→NN; A review of experimental results
AIP Conference Proceedings, 1982Legendre polynomial expansion coefficients are presented as a function of energy. (AIP)Legendre polynomial expansion coefficients are presented as a function of energy. (AIP)
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2002
Talk presented at Baryons 2002, JLab, Newport News (USA), 4-8 March 2002.
Gonz��lez, P. +3 more
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Talk presented at Baryons 2002, JLab, Newport News (USA), 4-8 March 2002.
Gonz��lez, P. +3 more
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1997
Abstract n symbol for 1 nano+ (SI prefix denoting 10-9 times). 2 neutron; may be written as n° to indicate its charge. n symbol for 1 any (unknown or unspecified) number, especially an integer. 2 amount of substance; the substance in question may be indicated as a suffix in parentheses or by a subscript.
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Abstract n symbol for 1 nano+ (SI prefix denoting 10-9 times). 2 neutron; may be written as n° to indicate its charge. n symbol for 1 any (unknown or unspecified) number, especially an integer. 2 amount of substance; the substance in question may be indicated as a suffix in parentheses or by a subscript.
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