Results 61 to 70 of about 177,424 (286)

Microwave‐Assisted Aqueous Synthesis of Gelatin‐Norbornene for Hydrogel Crosslinking and Bioprinting

Advanced Materials Technologies, EarlyView.
A microwave‐assisted reaction is utilized to synthesize gelatin‐norbornene (GelNB), achieving a high degree of norbornene functionalization while reducing the macromer's upper critical solution temperature. The resulting GelNB macromer has high solubility at room temperature, facilitating light‐based 3‐dimensional (3D) printing of thiol‐norbornene ...
Jonathan B. Bryan, Chien‐Chi Lin
wiley   +1 more source

Semi-Supervised Ridge Regression with Adaptive Graph-Based Label Propagation

Applied Sciences, 2018
In order to overcome the drawbacks of the ridge regression and label propagation algorithms, we propose a new semi-supervised classification method named semi-supervised ridge regression with adaptive graph-based label propagation (SSRR-AGLP).
Yugen Yi, Yuqi Chen, Jiangyan Dai, Xiaolin Gui, Chunlei Chen, Gang Lei, Wenle Wang   +6 more
doaj   +1 more source

Lattice Structures for Bone Replacement: The Intersection of Bone Biomechanics, Lattice Design, and Additive Manufacturing

Advanced Materials Technologies, EarlyView.
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias, Maxwell J. Munford, Frederik C.H. Masure, Richard J. van Arkel, Reece N Oosterbeek   +4 more
wiley   +1 more source

Modified Ridge Regression With Cook’s Distance for Semiparametric Regression Models

Journal of Mathematics
Multicollinearity and influential cases in semiparametric regression models lead to biased and unreliable estimates distorting leverage and residual patterns.
Najeeb Mahmood Khan, Muhammad Aman Ullah, Javaria Ahmad Khan, Salman Raza   +3 more
doaj   +1 more source

Superiority of the MCRR Estimator Over Some Estimators In A Linear Model [PDF]

المجلة العراقية للعلوم الاحصائية, 2011
Modified (r, k) class ridge regression (MCRR) which includes unbiased ridge regression (URR), (r, k) class, principal components regression (PCR) and the ordinary least squares (OLS) estimators is proposed in regression analysis, to overcome the problem ...
Feras Sh. M. Batah
doaj   +1 more source

An adaptive Ridge procedure for L0 regularization [PDF]

, 2015
Penalized selection criteria like AIC or BIC are among the most popular methods for variable selection. Their theoretical properties have been studied intensively and are well understood, but making use of them in case of high-dimensional data is ...
Frommlet, Florian, Nuel, Gregory
core   +6 more sources

New ridge parameters for ridge regression [PDF]

Journal of the Association of Arab Universities for Basic and Applied Sciences, 2014
AbstractHoerl and Kennard (1970a) introduced the ridge regression estimator as an alternative to the ordinary least squares (OLS) estimator in the presence of multicollinearity. In ridge regression, ridge parameter plays an important role in parameter estimation.
openaire   +1 more source

Kernel Ridge Regression Inference

, 2023
We provide uniform confidence bands for kernel ridge regression (KRR), a widely used nonparametric regression estimator for nonstandard data such as preferences, sequences, and graphs. Despite the prevalence of these data--e.g., student preferences in school matching mechanisms--the inferential theory of KRR is not fully known.
Singh, Rahul, Vijaykumar, Suhas
openaire   +2 more sources

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Significance testing in ridge regression for genetic data

BMC Bioinformatics, 2011
Background Technological developments have increased the feasibility of large scale genetic association studies. Densely typed genetic markers are obtained using SNP arrays, next-generation sequencing technologies and imputation.
De Iorio Maria, Vineis Paolo, Cule Erika
doaj   +1 more source