Results 191 to 200 of about 4,452 (291)

New robust two-parameter estimator for overcoming outliers and multicollinearity in Poisson regression model. [PDF]

Sci Rep
Mohammad HH, Hammad AT, El-Helbawy AA, Kalantan ZI, Habineza A, Hussam E, Gemeay AM.   +6 more
europepmc   +1 more source

Subperiosteal tunnel assisted graft (STAG) technique: Report of two cases

Clinical Advances in Periodontics, EarlyView.
Abstract Background This case report describes the clinical application of the subperiosteal tunnel‐assisted graft (STAG) technique, a novel approach for peri‐implant phenotype modification and keratinized tissue augmentation. Although free gingival grafts remain the gold standard for increasing keratinized tissue width, their effectiveness may be ...
Seiko Min
wiley   +1 more source

Smooth and shape-constrained quantile distributed lag models. [PDF]

Biometrics
Jin Y, Molstad AJ, Wilson A, Antonelli J.   +3 more
europepmc   +1 more source

The Influence of Aesthetic Liking on Product Evaluation: How and When It Differs With Brand Strength and Product Type

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This research provides comprehensive insight into the influence of aesthetic liking on product preference across different types of durable product categories by uncovering the underlying process. Distinguishing a direct expressive influence of aesthetic liking and an indirect influence as a quality signal, referring to signaling theory, we ...
Mariëlle E. H. Creusen, Ruth Mugge, Jan P. L. Schoormans   +2 more
wiley   +1 more source

Asymptotic theory of in-context learning by linear attention. [PDF]

Proc Natl Acad Sci U S A
Lu YM, Letey M, Zavatone-Veth JA, Maiti A, Pehlevan C.   +4 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, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma. [PDF]

Cancer Imaging
Wu J, Lu J, Zhang X, Guo X, Qin Q, Chen J, Zheng N, Sun P, Gao X, Wang J.   +9 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, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Robust estimation methods for addressing multicollinearity and outliers in beta regression models. [PDF]

Sci Rep
Olaluwoye OT, Lukman AF, Alrasheedi MA, Nzomo WN, Farghali RA.   +4 more
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source