Results 51 to 60 of about 39,022 (281)

Strictly monotone and smooth nonparametric regression for two or more variables [PDF]

open access: yes, 2005
In this article a new monotone nonparametric estimate for a regression function of two or more variables is proposed. The method starts with an unconstrained nonparametric regression estimate and uses successively one-dimensional isotonization procedures.
Dette, Holger, Scheder, Regine
core   +3 more sources

The Complex Relationship Between Cooling Parameters and Neuroprotection in a Model of Selective Hypothermia

open access: yesFrontiers in Neurology, 2022
BackgroundHypothermia remains the best studied neuroprotectant. Despite extensive positive large and small animal data, side effects continue to limit human applications.
Thomas K. Mattingly   +6 more
doaj   +1 more source

Approximate resilience, monotonicity, and the complexity of agnostic learning [PDF]

open access: yes, 2014
A function $f$ is $d$-resilient if all its Fourier coefficients of degree at most $d$ are zero, i.e., $f$ is uncorrelated with all low-degree parities. We study the notion of $\mathit{approximate}$ $\mathit{resilience}$ of Boolean functions, where we say
Dachman-Soled, Dana   +4 more
core   +1 more source

Direct Metal Deposition of Graphene–Ti28Nb35.4Zr Matrix Composites With Enhanced Mechanical, Corrosion, and Biocompatibility Properties for Bone Implants

open access: yesAdvanced Engineering Materials, EarlyView.
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir   +5 more
wiley   +1 more source

Enhanced Projection Method for the Solution of the System of Nonlinear Equations Under a More General Assumption than Pseudo-Monotonicity and Lipschitz Continuity

open access: yesMathematics
In this manuscript, we propose an efficient algorithm for solving a class of nonlinear operator equations. The algorithm is an improved version of previously established method. The algorithm’s features are as follows: (i) the search direction is bounded
Kanikar Muangchoo, Auwal Bala Abubakar
doaj   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow   +9 more
wiley   +1 more source

Exploratory Analysis of Distributional Data Using the Quantile Method

open access: yesAppliedMath
The quantile method transforms each complex object described by different histogram values to a common number of quantile vectors. This paper retraces the authors’ research, including a principal component analysis, unsupervised feature selection using ...
Manabu Ichino
doaj   +1 more source

Mechanoregulatory Effects of Cell‐Scale Microwells on Epithelial Cell Phenotype

open access: yesAdvanced Functional Materials, EarlyView.
In small polycaprolactone microwells, A549 epithelial cells span well edges, in contrast to cells growing on flat substrates. Focal adhesion sites (yellow) concentrate at topographic boundaries, while cytoskeletal tension (magenta stress fibers) is transmitted to the nucleus (blue), reducing nuclear sphericity.
Ruiwen He   +10 more
wiley   +1 more source

A general asymptotic scheme for inference under order restrictions

open access: yes, 2006
Limit distributions for the greatest convex minorant and its derivative are considered for a general class of stochastic processes including partial sum processes and empirical processes, for independent, weakly dependent and long range dependent data ...
Anevski, D., Hössjer, O.
core   +1 more source

Regression rank scores in nonlinear models [PDF]

open access: yes, 2008
Consider the nonlinear regression model $Y_i=g({\bf x}_i,\boldmath $\theta$)+e_i,\quad i=1,...,n$(1) with ${\bf x}_i\in \mathbb{R}^k,$ $\boldmath{\theta}=(\theta_0,\theta_1,...,\theta_p)^{\prime}\in \boldmath $\Theta$$ (compact in $\mathbb{R}^{p+1 ...
Jurečková, Jana
core   +1 more source

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