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Memory & Cognition|January 1, 1990
Memory for script actions: effects of relevance and detail expectancyR H MakiJournal of Molecular Microbiology and Biotechnology|August 8, 2013
Bacterial intracellular sulfur globules: structure and functionJames S MakiBMC Biology|May 28, 2004
Evidence for interplay among yeast replicative DNA polymerases alpha, delta and epsilon from studies of exonuclease and polymerase active site mutationsYouri I Pavlov, Satoko Maki, Hisaji Maki, et al.Clinical Endocrinology|October 14, 2017
Gain-of-function mutations in G-protein-coupled receptor genes associated with human endocrine disordersMaki Fukami, Erina Suzuki, Maki Igarashi, et al.American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics|April 14, 2009
Comparison of airway space with conventional lateral headfilms and 3-dimensional reconstruction from cone-beam computed tomographyCameron Aboudara, Ib Nielsen, John C Huang, et al.American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics|April 13, 2010
Evaluating the mandible with cone-beam computed tomographyScott A Stratemann, John C Huang, Koutaro Maki, et al.BMC Complementary and Alternative Medicine|June 19, 2015
L-Citrulline increases hepatic sensitivity to insulin by reducing the phosphorylation of serine 1101 in insulin receptor substrate-1Hisae Yoshitomi, Maki Momoo, Xiao Ma, et al.Biological Psychiatry Global Open Science|October 14, 2024
Predicting Prenatal Depression and Assessing Model Bias Using Machine Learning ModelsYongchao Huang, Suzanne Alvernaz, Sage J Kim, et al.Dento Maxillo Facial Radiology|February 2, 2008
Comparison of cone beam computed tomography imaging with physical measuresS A Stratemann, J C Huang, K Maki, et al.Medrxiv : the Preprint Server for Health Sciences|July 28, 2023
Predicting prenatal depression and assessing model bias using machine learning modelsYongchao Huang, Suzanne Alvernaz, Sage J Kim, et al.Pageof 62,062