Results 21 to 30 of about 166,859,727 (259)

Peran Interaksi Guru-Siswa dan Gaya Belajar Siswa terhadap Disposisi Berpikir Kritis dalam Pembelajaran Fisika

Gadjah Mada Journal of Psychology, 2019
This study aimed to empirically determine the role of teacher-student interaction and students’ learning styles in students’ disposition toward critical thinking in physics subject.
Primadhani Setyaning Galih, Asmadi Alsa
doaj   +1 more source

Robust covariance estimation for data fusion from multiple sensors [PDF]

, 2011
This paper addresses the robust estimation of a covariance matrix to express uncertainty when fusing information from multiple sensors. This is a problem of interest in multiple domains and applications, namely, in robotics.
Lazarus, Samuel B., Samuel B. Lazarus, Tsourdos, Antonios, Antonios Tsourdos, João Sequeira, Sequeira, João   +5 more
core   +1 more source

Wavelet analysis of covariance with application to atmospheric time series

, 2000
Multiscale analysis of univariate time series has appeared in the literature at an ever increasing rate. Here we introduce the multiscale analysis of covariance between two time series using the discrete wavelet transform.
Whitcher, Brandon, Guttorp, P., Percival, D.B.   +2 more
core   +1 more source

SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data [PDF]

, 2011
In ``-omic data'' analysis, information on the structure of covariates are broadly available either from public databases describing gene regulation processes and functional groups such as the Kyoto encyclopedia of genes and genomes (KEGG), or from ...
Tenenhaus, Arthur, Boulesteix, Anne-Laure, Guillemot, Vincent, Jelizarow, Monika   +3 more
core   +1 more source

The Ancova model for comparing two groups: a tutorial emphasizing statistical distribution theory

Frontiers in Psychology
The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into account concomitant differences in a quantitative ...
Wolf Schwarz
doaj   +1 more source

Analysis of covariance and standardization as instances of prediction

, 1982
In this paper, prediction provides the basis for unifying the procedures of covariance adjustment and standardization. Analysis of covariance is a method of forming predictions from a linear model; it is used when qualitative effects are to be studied ...
Nelder, J. A., Lane, P. W.
core   +1 more source

Performance analysis of beamformers using generalized loading of the covariance matrix in the presence of random steering vector errors [PDF]

, 2005
Robust adaptive beamforming is a key issue in array applications where there exist uncertainties about the steering vector of interest. Diagonal loading is one of the most popular techniques to improve robustness.
Besson, Olivier, Vincent, François
core   +1 more source

Structural Covariance Network Disruption and Functional Compensation in Parkinson’s Disease

Frontiers in Aging Neuroscience, 2020
Purpose: To investigate the structural covariance network disruption in Parkinson’s disease (PD), and explore the functional alterations of disrupted structural covariance network.Methods: A cohort of 100 PD patients and 70 healthy participants underwent
Cheng Zhou, Ting Gao, Tao Guo, Jingjing Wu, Xiaojun Guan, Weiwen Zhou, Peiyu Huang, Min Xuan, Quanquan Gu, Xiaojun Xu, Shunren Xia, Dexing Kong, Jian Wu, Minming Zhang   +13 more
doaj   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source