Results 31 to 40 of about 141,753 (193)
NeuroImage, 2023 Cerebrovascular reactivity (CVR) is a prognostic indicator of cerebrovascular health. Estimating CVR from endogenous end-tidal carbon dioxide (CO2) fluctuation and MRI signal recorded under resting state can be difficult due to the poor signal-to-noise ...
Botian Xu +5 more
doaj +1 more source
Food and Environment Safety, 2022 This study aimed at assessing the effect of packaging materials and preservatives on nutrient composition of fish was carried out using 864 live Clarias gariepinus with an average weight of 226g acquired from an earthen pond of a fish farm in Omi-Adio ...
Ahmed Ayodeji AYELOJA +1 more
doaj
Evaluation of noise levels of two micro-wind turbines using a randomised experiment
Journal of Energy in Southern Africa, 2017 One of the more contentious environmental concerns of wind turbines is the wind turbine noise. This study assesses the noise impacts of two micro-wind turbines on the environment by comparing the noise generated by these turbines to traditionally ...
Chantelle May Clohessy +3 more
doaj +1 more source
Journal of Technology and Science Education, 2023 This research aimed to reveal the effectiveness of using a Problem-Based Learning (PBL) physics pocketbook integrating augmented reality (AR) with the local wisdom of catapults in improving the mathematical and graphical representation abilities of high ...
Alifia Rahmasari, Heru Kuswanto
doaj +1 more source
Dual processing streams in chemosensory perception
Frontiers in Human Neuroscience, 2012 Higher order sensory processing follows a general subdivision into a ventral and a dorsal stream for visual, auditory, and tactile information. Object identification is processed in temporal structures (ventral stream), whereas object localization leads ...
Johannes eFrasnelli +7 more
doaj +1 more source
SMART: A statistical framework for optimal design matrix generation with application to fMRI [PDF]
, 2009 The general linear model (GLM) is a well established tool for analyzing functional magnetic resonance imaging (fMRI) data. Most fMRI analyses via GLM proceed in a massively univariate fashion where the same design matrix is used for analyzing data from ...
Baumgartner, Richard +5 more
core +1 more source
Acta Agriculturae Slovenica, 2022 Bactrocera oleae (Rossi, 1790) (Diptera: Tephritidae) is the most dangerous insect pest of the olive tree in the Mediterranean region. This study was conducted in the Mascara region (North-West Algeria) during 2019-2020 season, in order to monitoring the
Zineb BOURAKNA +3 more
doaj +1 more source
Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers [PDF]
, 2017 This paper reviews and offers tutorials on robust statistical methods relevant to clinical and experimental psychopathology researchers. We review the assumptions of one of the most commonly applied models in this journal (the general linear model, GLM ...
Andy P. Field +50 more
core +1 more source
Extending Local Canonical Correlation Analysis to Handle General Linear Contrasts for fMRI Data
International Journal of Biomedical Imaging, 2012 Local canonical correlation analysis (CCA) is a multivariate method that has been proposed to more accurately determine activation patterns in fMRI data. In its conventional formulation, CCA has several drawbacks that limit its usefulness in fMRI.
Mingwu Jin +3 more
doaj +1 more source
Impact of the joint detection-estimation approach on random effects group studies in fMRI [PDF]
, 2011 International audienceInter-subject analysis of functional Magnetic Resonance Imaging (fMRI) data relies on single intra-subject studies, which are usually conducted using a massively univariate approach.
Badillo, Solveig +2 more
core +5 more sources