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
Enhancing accuracy in modelling highly multicollinear data using alternative shrinkage parameters for ridge regression methods. [PDF]
Sci RepAkhtar N, Alharthi MF.
europepmc +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
Position-Independent Lactate Kinetic Phenotypes in Professional Soccer Players: A Machine Learning Approach for Maximal Running Velocity Prediction. [PDF]
Sensors (Basel)Tortu E +6 more
europepmc +1 more source
Subperiosteal peri‐implant augmented layer to correct bone dehiscence at immediate implant placement
Clinical Advances in Periodontics, EarlyView.Abstract Background The purpose of the present case report is to describe the potential of the subperiosteal peri‐implant augmented layer (SPAL) technique in peri‐implant bone dehiscence (PIBD) correction at immediate implant placement (IIP). Methods This case report describes the application of the SPAL technique in two patients undergoing IIP at ...
Tommaso Grenzi +3 more
wiley +1 more source
New robust two-parameter estimator for overcoming outliers and multicollinearity in Poisson regression model. [PDF]
Sci RepMohammad HH +6 more
europepmc +1 more source
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
Cereal Chemistry, EarlyView.ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Smooth and shape-constrained quantile distributed lag models. [PDF]
BiometricsJin Y +3 more
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Carbon Energy, EarlyView.Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Asymptotic theory of in-context learning by linear attention. [PDF]
Proc Natl Acad Sci U S ALu YM +4 more
europepmc +1 more source