Results 1 to 10 of about 1,179,697 (255)

Variational Bayesian Parameter Estimation Techniques for the General Linear Model [PDF]

Frontiers in Neuroscience, 2017
Variational Bayes (VB), variational maximum likelihood (VML), restricted maximum likelihood (ReML), and maximum likelihood (ML) are cornerstone parametric statistical estimation techniques in the analysis of functional neuroimaging data.
Ludger Starke, Dirk Ostwald, Dirk Ostwald, Dirk Ostwald   +3 more
doaj   +2 more sources

Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images [PDF]

Sensors, 2020
Increasing the area of planted forests is rather important for compensation the loss of natural forests and slowing down the global warming. Forest growing stem volume (GSV) is a key indicator for monitoring and evaluating the quality of planted forest ...
Jiangping Long, Hui Lin, Guangxing Wang, Hua Sun, Enping Yan   +4 more
doaj   +2 more sources

Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework [PDF]

Frontiers in Human Neuroscience, 2019
Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity in the analysis approaches and pre-processing procedures. Additionally, there is often a lack of a complete description of the methods applied, necessary for study
Paola Pinti, Paola Pinti, Felix Scholkmann, Antonia Hamilton, Paul Burgess, Ilias Tachtsidis   +5 more
doaj   +2 more sources

Gestation Length and Litter Size of New Zealand White Grade Rabbit

Jurnal Sain Peternakan Indonesia, 2021
The purpose of this study was to examine performances and factors that influence the gestation length (GL) and litter size (LS) of New Zealand White Grade (NZW Grade) rabbits.
A. Setiaji, D. A. Lestari, S. Sutopo, Y. S. Ondho, E. Kurnianto   +4 more
doaj   +1 more source

Blind Visualization of Task-Related Networks From Visual Oddball Simultaneous EEG-fMRI Data: Spectral or Spatiospectral Model?

Frontiers in Neurology, 2021
Various disease conditions can alter EEG event-related responses and fMRI-BOLD signals. We hypothesized that event-related responses and their clinical alterations are imprinted in the EEG spectral domain as event-related (spatio)spectral patterns ...
René Labounek, Zhuolin Wu, Zhuolin Wu, David A. Bridwell, Milan Brázdil, Jiří Jan, Igor Nestrašil, Igor Nestrašil   +7 more
doaj   +1 more source

Genome-wide association studies in rice germplasm reveal significant genomic regions for root and yield-related traits under aerobic and irrigated conditions

Frontiers in Plant Science, 2023
The development of nutrient-use efficient rice lines is a priority amidst the changing climate and depleting resources viz., water, land, and labor for achieving sustainability in rice cultivation. Along with the traditional transplanted irrigated system
Revadi Padmashree, Revadi Padmashree, Kalyani M. Barbadikar, Honnappa, Honnappa, Nakul D. Magar, Nakul D. Magar, Divya Balakrishnan, R. Lokesha, C. Gireesh, Anantha M. Siddaiah, Maganti Sheshu Madhav, Y. M Ramesha, Muralidhara Bharamappanavara, Amol S. Phule, P. Senguttuvel, J. R. Diwan, D. Subrahmanyam, Raman Menakshi Sundaram   +18 more
doaj   +1 more source

The Impact of Covariates in Voxel-Wise Lesion-Symptom Mapping

Frontiers in Neurology, 2020
Background: Voxel-wise lesion-symptom mapping (VLSM) is a statistical technique to infer the structure-function relationship in patients with cerebral strokes. Previous VLSM research suggests that it is important to adjust for various confounders such as
Deepthi Rajashekar, Deepthi Rajashekar, Matthias Wilms, Matthias Wilms, Kent G. Hecker, Michael D. Hill, Sean Dukelow, Jens Fiehler, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert   +11 more
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Prioritizing the Effects of Emerging Contaminants on Estuarine Production under Global Warming Scenarios

Toxics, 2022
Due to non-linear interactions, the effects of contaminant mixtures on aquatic ecosystems are difficult to assess, especially under temperature rise that will likely exacerbate the complexity of the responses.
Irene Martins, Joana Soares, Teresa Neuparth, Aldo F. Barreiro, Cândido Xavier, Carlos Antunes, Miguel M. Santos   +6 more
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A Study on Consumers’ Visual Image Evaluation of Wrist Wearables

Entropy, 2021
This study aimed to investigate consumers’ visual image evaluation of wrist wearables based on Kansei engineering. A total of 8 representative samples were screened from 99 samples using the multidimensional scaling (MDS) method.
Liang-Ming Jia, Fang-Wu Tung
doaj   +1 more source

Propensity Score Matching Underestimates Real Treatment Effect, in a Simulated Theoretical Multivariate Model

Mathematics, 2022
Propensity Score Matching (PSM) is a useful method to reduce the impact of Treatment-Selection Bias in the estimation of causal effects in observational studies. After matching, the PSM significantly reduces the sample under investigation, which may lead
Daniel Garcia Iglesias
doaj   +1 more source