Results 221 to 230 of about 3,667,438 (313)

Estimating influenza incidence using search query deceptiveness and generalized ridge regression. [PDF]

PLoS Comput Biol, 2019
Priedhorsky R, Daughton AR, Barnard M, O'Connell F, Osthus D.   +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

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

Matrix‐Free Afterglow Carbon Dots: Synthetic Strategies, Luminescence Mechanisms, and Emerging Applications

Carbon Innovation, EarlyView.
This review systematically elucidates the luminescence mechanism, synthesis methods of matrix‐free afterglow carbon dots, and their application progress in information encryption, light‐emitting diodes, sensing, bioimaging, and tumor treatment, and finally, discusses the current challenges and future development directions. ABSTRACT Afterglow materials,
Yupeng Liu, Xiangxin Sun, Zhiqi Cai, Hanyi Zhang, Yiming Hao, Songnan Qu   +5 more
wiley   +1 more source

Broken adaptive ridge regression and its asymptotic properties. [PDF]

J Multivar Anal, 2018
Dai L, Chen K, Sun Z, Liu Z, Li G.
europepmc   +1 more source

Do Investors React Differently to GHG Emission in Stock Pricing Across Firms? Evidence From Commonwealth African Countries Using a Novel Wavelet‐Enhanced QQR Approach

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, Adeolu O. Adewuyi, Simplice A. Asongu   +2 more
wiley   +1 more source

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

The segregation of Calb1, Calb2, and Prph neurons reveals distinct and mixed neuronal populations and projections to hair cells in the inner ear and central nuclei

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, Ebenezer N. Yamoah, Jennifer Kersigo, Karen Elliott, Niya LaRoda, Gabriela Pavlinkova, Bernd Fritzsch   +6 more
wiley   +1 more source

Personalized Treatment Selection for Digital Eating Disorder Interventions: A Proof‐of‐Concept for the Personalized Advantage Index

International Journal of Eating Disorders, EarlyView.
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, Matthew Fuller‐Tyszkiewicz, Mariel Messer, Jake Linardon   +3 more
wiley   +1 more source