Results 71 to 80 of about 284,254 (315)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Advanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann   +16 more
wiley   +1 more source

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

Advanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti, Andrea Cimolato, Noemi Gozzi, Pietro Palopoli, Luca Brugnoli, Natalija Katic Secerovic, Rebecca Gallivan, Alexander Shokurov, Carlo Menon, Johannes Weichart, Ignacio Delgado‐Martinez, Weiguo Song, Stavros Zanos, Xavier Navarro, Stanisa Raspopovic   +14 more
wiley   +1 more source

Comparative analysis for traffic flow forecasting models with real-life data in Beijing

Advances in Mechanical Engineering, 2015
Rational traffic flow forecasting is essential to the development of advanced intelligent transportation systems. Most existing research focuses on methodologies to improve prediction accuracy.
Yaping Rong, Xingchen Zhang, Xuesong Feng, Tin-kin Ho, Wei Wei, Dejie Xu   +5 more
doaj   +1 more source

Nonparametric and Varying Coefficient Modal Regression

, 2016
In this article, we propose a new nonparametric data analysis tool, which we call nonparametric modal regression, to investigate the relationship among interested variables based on estimating the mode of the conditional density of a response variable Y ...
Xiang, Sijia, Yao, Weixin
core  

Nonparametric covariate-adjusted regression

, 2016
We consider nonparametric estimation of a regression curve when the data are observed with multiplicative distortion which depends on an observed confounding variable.
Delaigle, Aurore, Hall, Peter, Zhou, Wen-Xin   +2 more
core   +1 more source

Multiscale Hybrid Surface Topographies Orchestrate Immune Regulation, Antibacterial Defense, and Tissue Regeneration

Advanced Healthcare Materials, EarlyView.
Hybrid wrinkled topographies coordinate immune, tissue, and bacterial interactions. The surfaces promote osteointegration, tune macrophage polarization, and inhibit biofilm formation, highlighting a multifunctional strategy for next‐generation implant design.
Mohammad Asadi Tokmedash, Jacob Robins, J. Scott VanEpps, Minji Kim, Jouha Min   +4 more
wiley   +1 more source

On the nonparametric estimation of the functional expectile regression

Comptes Rendus. Mathématique, 2020
In this note, we investigate the kernel-type estimator of the nonparametric expectile regression model for functional data. More precisely, we establish the almost complete convergence rate of this estimator under some mild conditions.
Mohammedi, Mustapha, Bouzebda, Salim, Laksaci, Ali   +2 more
doaj   +1 more source

Nonparametric regression with homogeneous group testing data

, 2012
We introduce new nonparametric predictors for homogeneous pooled data in the context of group testing for rare abnormalities and show that they achieve optimal rates of convergence.
Delaigle, Aurore, Hall, Peter
core   +1 more source

Automating Vascular Biology: An End‐to‐End Automated Workflow for High‐Throughput Blood Vessel‐on‐a‐Chip Production and Multi‐Site Validation

Advanced Healthcare Materials, EarlyView.
AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin, Hanieh Mohammad Hashemi, Kimia Asadi Jozani, Anushree Chakravarty, Sonya Kouthouridis, Jessica Bonanno, Nicky Anvari, Shravanthi Rajasekar, Feng Zhang, Richard Y. Cheng, Narendra Kumar Singh, Luis Miguel Medina, Marc Durante, Yufang He, Boyang Zhang   +14 more
wiley   +1 more source