Results 81 to 90 of about 3,198,692 (262)
Exact optimal designs for weighted least squares analysis with correlated errors [PDF]
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
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
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
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
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
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
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
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
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
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

