Ravaut, M., Sadeghi, H., Leung, K.K. et al. Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. npj Digit. Med. 4, 24 (2021). https://doi.org/10.1038/s41746-021-00394-8 Download citation Received18 August 2020 Accepted11 Janu...
A growing number of small-molecule FLT3 tyrosine kinase inhibitors (TKIs) have been evaluated in preclinical experiments and clinical trials, but only one agent (midostaurin) has been recently approved for this specific use. Many of the first-generation FLT3 inhibitors including midostaurin, lestaurti...
Some of them, such as education, health, and income, have been widely accepted in the literature even from different perspectives [18,19,20]. The neglect of any of these dimensions over time will adversely affect others and ultimately harm one’s well-being and quality of life. Specifically...
Lajevardi, S.M.S.; Moghadas Nejad, F.; Ravanshadnia, M. Experimental Study on a Reinforced Concrete Element to Extract the Durability Index with the Automated Visualization. Appl. Sci. 2022, 12, 9609. [Google Scholar] [CrossRef] Ju, X.L.; Wu, L.J.; Lin, C.; Yang, X.; Yang...
4–7. [Google Scholar] Le Ravalec, M.; Noetinger, B.; Hu, L.Y. The FFT moving average (FFT-MA) generator: An efficient numerical method for generating and conditioning Gaussian simulations. Math. Geol. 2000, 32, 701–723. [Google Scholar] [CrossRef] Shreve, D.H. Signal Processing ...
rTeh8is. Teqhiusiveqauleivnacleenccuervcueravlelowed the tarlalonwsfeodrmthaettiroannstfoordmefiatnioenthtoedCeEfinaestahestochaassatisctorachnadsotimc ravnadrioamblvea. riable. FreipguoFtvrrriateagelnuu8dse.rfseioEnrq8rm[e.u1piEi4novq]gr.autleTtiehvdhneaiclissenetncoccu[cue1hr4rvacv]sue...