Results 61 to 70 of about 166,859,727 (259)

An analysis of covariance parameters in Gaussian process-based optimization

Croatian Operational Research Review, 2018
The need for globally optimizing expensive-to-evaluate functions frequently occurs in many real-world applications. Among the methods developed for solving such problems, the Efficient Global Optimization (EGO) is regarded as one of the state-of-the-art ...
Hossein Mohammadi, Rodolphe Le Riche, Xavier Bay, Eric Touboul   +3 more
doaj   +1 more source

Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3

Advanced Functional Materials, EarlyView.
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh, Heung‐Sik Park, Jong‐Sook Lee, Chan‐Ho Yang   +3 more
wiley   +1 more source

General balance, combination of information and the analysis of covariance

, 1992
A resume is given of the conditions and underlying theory for general balance of an experimental design, paying particular attention to their relationships to the usual linear models for analysis of variance and the marginality relationships between the ...
Tobias, R. D., Payne, R. W.
core  

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

Advanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu, Aditya Raghavan, Utkarsh Pratiush, Ian Mercer, Pochun Hsieh, Albert Suceava, Chih‐Yu Lee, Edgar Dimitrov, Mauricio Terrones, Ichiro Takeuchi, Venkatraman Gopalan, Jon‐Paul Maria, Sergei V. Kalinin   +12 more
wiley   +1 more source

General covariance from the perspective of Noether's theorems [PDF]

, 2002
Analysis of Emmy Noether's 1918 theorems provides an illuminating method for testing the consequences of coordinate generality, and for exploring what else must be added to this requirement in order to give general covariance its far-reaching physical ...
Brading, Katherine, Brown, Harvey, Brading, Katherine A.   +2 more
core  

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

Advanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source

PENERAPAN METODE LEAST MEDIAN SQUARE-MINIMUM COVARIANCE DETERMINANT (LMS-MCD) DALAM REGRESI KOMPONEN UTAMA

E-Jurnal Matematika, 2013
Principal Component Regression is a method to overcome multicollinearity techniques by combining principal component analysis with regression analysis.
I PUTU EKA IRAWAN, I KOMANG GDE SUKARSA, NI MADE ASIH   +2 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Analysis of pretest-posttest studies with control group: Comparison of two types of effect sizes

حیات, 2018
The pre-post test study with control group is one of the most widely used methods to evaluate clinical research and educational designs. The data analysis of this design is done in a variety of ways.
Hamid Sharif Nia, Ameneh Yaghoobzadeh
doaj  

Inverse problems in covariate data analysis

Frontiers in Applied Mathematics and Statistics
The fact that Pearson's correlation coefficient and effect size are perspective functions of covariance parameters demonstrates that how covariance is defined is one of the most important issues in data analysis.
Stanley Luck
doaj   +1 more source