Results 241 to 250 of about 52,512 (299)
Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions. [PDF]
Shen C, Ding Y, Tang J, Guo F.
europepmc +1 more source
ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley +1 more source
Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data. [PDF]
Gana R, Vasudevan S.
europepmc +1 more source
Three populations of hair cells have a distinct expression of Calb1 and Calb2. (A, A′D) The central is highly positive for Calb1 while surrounding HC are positive for Calb2. Later, a calyx forms primarily with Calb1. (B, B′, D′, D″) Saccule and utricle start out positive for Calb2 but will upregulate the Calb1 in the striola that is primarily forming ...
Jeong Han Lee +6 more
wiley +1 more source
FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou's Five-Step Rule. [PDF]
Zou Y, Ding Y, Tang J, Guo F, Peng L.
europepmc +1 more source
Abstract Background Fibrillins provide a scaffold for elastic fiber formation, which enables lung recoil and aortic compliance. Abnormal fibrillin microfibrils, as in Marfan syndrome, lead to enlarged alveoli, vascular stiffening, and aneurysms. Our earlier studies suggested that fibrillin function depends on O‐glucosylation of its epidermal growth ...
Sanjiv Neupane +4 more
wiley +1 more source
Merging computational fluid dynamics and 4D Flow MRI using proper orthogonal decomposition and ridge regression. [PDF]
Bakhshinejad A +5 more
europepmc +1 more source
ABSTRACT Objective Although a range of evidence‐based treatments for eating disorders exist, treatment response varies substantially. The ability to match individuals to a treatment which they are most likely to benefit from may help improve treatment efficiency and therapeutic outcomes.
Zoe McClure +3 more
wiley +1 more source
Forecasting COVID-19 Outbreak Progression Using Hybrid Polynomial-Bayesian Ridge Regression Model
Saqib M.
europepmc +1 more source

