Results 81 to 90 of about 3,198,692 (262)

Exact optimal designs for weighted least squares analysis with correlated errors [PDF]

open access: yes
In the common linear and quadratic regression model with an autoregressive error structure exact D-optimal designs for weighted least squares analysis are determined.
Kunert, Joachim, Dette, Holger
core  

Voltage‐Reconfigurable Magneto‐Ionic Nanolayers in Dot Arrays for Probabilistic, Materials‐Engineered Security Primitives

open access: yesAdvanced Science, EarlyView.
A magneto‐ionic security‐by‐materials‐design strategy exploits voltage‐driven N3– migration in selectively contacted FeCoN dots, creating reconfigurable sub‐15 nm ferromagnetic sublayers with deterministic and/or probabilistic (single‐domain↔vortex) states, voltage‐tunable probabilities and fully stochastic orientation/chirality.
Irena Spasojevic   +4 more
wiley   +1 more source

Approximate low-rank factorization with structured factors

open access: yes, 2010
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in microarray data analysis, are sparsity, nonnegativity, periodicity, and ...
Niranjan, Mahesan, Markovsky, Ivan
core   +1 more source

Innovative Test Strip‐Based Colorimetric Sensors Integrated With Affinity Chromatography: Acetylcholinesterase Inhibitor Screening Breakthrough in Lycium Barbarum Leaves

open access: yesAdvanced Science, EarlyView.
Schematic diagrams illustrating the breakthrough in the screening of AChE inhibitors from LBL, and the research process of the pharmacodynamics of the NCP are presented. ABSTRACT Current Alzheimer's drugs exhibit limited effectiveness, highlighting the necessity for multi‐target treatments.
Yuping Sa   +11 more
wiley   +1 more source

Magnetoelectric Nanoparticles Enable Modulation of Cortical Networks by Low‐Intensity Static Magnetic Fields In Vitro

open access: yesAdvanced Science, EarlyView.
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes   +13 more
wiley   +1 more source

Model-Fitting Weighted Least Squares as an Alternative to Principal Component Analysis for Analyzing Energy-Dispersive X-ray Spectroscopy Spectrum Images

open access: yesMicroscopy and Microanalysis
Abstract Spectrum imaging with energy-dispersive X-ray spectroscopy (EDS) has become ubiquitous in material characterization using electron microscopy. Multivariate statistical methods, commonly principal component analysis (PCA), are often used to aid analysis of the resulting multidimensional datasets; PCA can provide denoising prior ...
David Wahlqvist, Martin Ek
openaire   +2 more sources

High‐Entropy Engineering and External Magnetic Field Modulation Synergistically Enhance the H2S Sensing Performance of Rare‐Earth Perovskite Ferrites

open access: yesAdvanced Science, EarlyView.
A novel high‐entropy perovskite oxide, (Gd0.2Tb0.2Dy0.2Ho0.2Er0.2)FeO3, was successfully synthesized for advanced hydrogen sulfide gas detection. By synergistically coupling high‐entropy‐induced local lattice distortion with weak magnetic field modulation, the tailored material generates abundant active sites. This innovative dual strategy dramatically
Yunfei Wang   +7 more
wiley   +1 more source

Bioadhesive‐Integrated 3D‐Printed Multilayer Scaffolds Secure a Mechanically‐Stable Osteoimmune Niche for Enhanced Bone Augmentation

open access: yesAdvanced Science, EarlyView.
A 3D‑printed multilayer adhesive scaffold, firmly anchored to bone defects by simple finger pressing, suppresses micromotion and secures mechanical stability of the osteogenic niche. This stabilization likely contributes to the enhanced bone augmentation by fostering a pro‑regenerative mechano‐immune profile—characterized by M2‑like macrophage ...
Delu Zhao   +7 more
wiley   +1 more source

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

open access: yesAdvanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Robust Regression as a Sensible Alternative to the Weighted Ordinary Least Squares Regression in case of Heteroskedasticity. A Tutorial

open access: yes
Background: The robust regression is rarely used in the statistical analyses in comparison with the Ordinary Least Squares regression and the Weighted Regression. In addition, in the frequent case of the heteroskedasticity of the residuals, a weighted regression carried out once is the main suggestion of the statistical books and the resulting reduced ...
Orenti, Annalisa   +5 more
openaire   +3 more sources

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