Results 41 to 50 of about 40,934 (281)

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening

Advanced Materials, EarlyView.
A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder, Nergishan İyisan, Yukun Wang, Berna Özkale   +3 more
wiley   +1 more source

Ultra‐Thin Soft Pneumatic Actuation for Minimally Invasive Neural Interfacing

Advanced Materials Technologies, EarlyView.
Parylene C is a common polymer in bioelectronics, favored for its biological and chemical inertness. However, this makes bonding layers of Parylene C together very challenging. Here it is a laser to selectively weld layers of Parylene C to create high‐pressure fluidic actuation devices.
Lawrence Coles, Joe G. Troughton, Alejandro Carnicer‐Lombarte, George G. Malliaras, Christopher M. Proctor   +4 more
wiley   +1 more source

Two-Stage Method Based on Local Polynomial Fitting for a Linear Heteroscedastic Regression Model and Its Application in Economics

Discrete Dynamics in Nature and Society, 2012
We introduce the extension of local polynomial fitting to the linear heteroscedastic regression model. Firstly, the local polynomial fitting is applied to estimate heteroscedastic function, then the coefficients of regression model are obtained by using ...
Liyun Su, Yanyong Zhao, Tianshun Yan
doaj   +1 more source

L 1 $L_{1}$ -Estimation for covariate-adjusted regression

Journal of Inequalities and Applications, 2020
We study a covariate-adjusted regression(CAR) model that is proposed for such situations where both predictors and response in a regression model are not directly observable but are distorted by a multiplicative factor that is determined by an unknown ...
Yaodong Sun, Dehui Wang
doaj   +1 more source

Asymptotically Normal Estimation of Local Latent Network Curvature

, 2022
Network data, commonly used throughout the physical, social, and biological sciences, consist of nodes (individuals) and the edges (interactions) between them. One way to represent network data's complex, high-dimensional structure is to embed the graph into a low-dimensional geometric space.
Wilkins-Reeves, Steven, McCormick, Tyler
openaire   +2 more sources

Local Asymptotic Normality Property for Lacunar Wavelet Series multifractal model [PDF]

ESAIM: Probability and Statistics, 2011
We consider a lacunar wavelet series function observed with an additive Brownian motion. Such functions are statistically characterized by two parameters. The first parameter governs the lacunarity of the wavelet coefficients while the second one governs its intensity.
Loubes, Jean-Michel, Paindaveine, Davy
openaire   +2 more sources

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

Advanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam, Saikat Sahoo, Yoosun Kim, Dongmin Go, Jeongho Choo, Cheonkyu Park, Seungtae Yang, Giuk Lee   +7 more
wiley   +1 more source

Asymptotic Form of the Covariance Matrix of Likelihood-Based Estimator in Multidimensional Linear System Model for the Case of Infinity Number of Nuisance Parameters

Mathematics
This article is devoted to the synthesis and analysis of the quality of the statistical estimate of parameters of a multidimensional linear system (MLS) with one input and m outputs. A nontrivial case is investigated when the one-dimensional input signal
Alexander Varypaev
doaj   +1 more source

Nonparametric testing of lack of dependence in functional linear models.

PLoS ONE, 2020
An important inferential task in functional linear models is to test the dependence between the response and the functional predictor. The traditional testing theory was constructed based on the functional principle component analysis which requires ...
Wenjuan Hu, Nan Lin, Baoxue Zhang
doaj   +1 more source