Results 211 to 220 of about 178,006 (285)
Machine learning RF shimming: Prediction by iteratively projected ridge regression. [PDF]
Magn Reson Med, 2018 Ianni JD, Cao Z, Grissom WA.
europepmc +1 more source
Clinical Advances in Periodontics, EarlyView.Abstract Background Autogenous particulate dentin has emerged as one of the promising biocompatible alternatives to traditional bone graft materials in alveolar ridge augmentation. Although its clinical success is documented, comprehensive studies combining histological and radiographic evaluations remain limited. This case report addresses this gap by
Kosuke Kashiwagi +4 more
wiley +1 more source
Clinical Advances in Periodontics, EarlyView.Abstract Background Effective flap management is crucial for successful bone regeneration procedures. Traditional flap release has been performed by the deep split design; recently, the superficial split design revives for its proposed anatomical and biomechanical advantages.
Oscar Durán‐Garnica +4 more
wiley +1 more source
Computational and Machine‐Learning Studies of Ethylene Oligomerization
Carbon and Hydrogen, EarlyView.This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin +3 more
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon +2 more
wiley +1 more source
Variable selection for recurrent event data with broken adaptive ridge regression. [PDF]
Can J Stat, 2018 Zhao H, Sun D, Li G, Sun J.
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Developmental Dynamics, EarlyView.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
Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions. [PDF]
Front Genet, 2018 Shen C, Ding Y, Tang J, Guo F.
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AI‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.The four stages of the research process are as follows: First, data is collected and a database is constructed. This is followed by feature selection and analysis, then the establishment of machine learning models, and finally formulation design and preparation.
Yichuan Tang +13 more
wiley +1 more source
Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data. [PDF]
BMC Mol Cell Biol, 2019 Gana R, Vasudevan S.
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