Results 41 to 50 of about 348,273 (293)

Relationship between Decision Making and Fluid Intelligence in Young Adults: The Mediator Role of Set-Shifting, Planning, Problem Solving and Working Memory

Neuropsychiatric Investigation, 2019
Relationship between Decision Making and Fluid Intelligence in Young Adults: The Mediator Role of Set-Shifting, Planning, Problem Solving and Working Memory Objective: In the literature, the studies investigating the relationship between fluid ...
Selin Yılmaz, Hatice Kafadar
doaj   +1 more source

The Roles of Fluid Intelligence and Emotional Intelligence in Affective Decision-Making During the Transition to Early Adolescence

Frontiers in Psychology, 2020
The current study mainly explored the influence of fluid intelligence (IQ) and emotional intelligence (EI) on affective decision-making from a developmental perspective, specifically, during the transition from childhood into early adolescence. Meanwhile,
Danfeng Li, Mengli Wu, Xingli Zhang, Xingli Zhang, Mingyi Wang, Jiannong Shi, Jiannong Shi, Jiannong Shi   +7 more
doaj   +1 more source

It is better than you think: fluid intelligence across the lifespan [PDF]

, 2010
The growth and decline of fluid intelligence is associated with brain structural changes. For example, development of fluid IQ is associated with cortex thickness during the critical period between 6 to 12 years old.
Ross Alloway, Tracy Packiam Alloway
core   +1 more source

ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression [PDF]

, 2019
We applied several regression and deep learning methods to predict fluid intelligence scores from T1-weighted MRI scans as part of the ABCD Neurocognitive Prediction Challenge (ABCD-NP-Challenge) 2019.
A Pfefferbaum, A Rakotomamonjy, A Rao, A Woolgar, AMJ MacLullich, BJ Casey, C Blaiotta, CE Rasmussen, G Varoquaux, GC Monté-Rubio, GD Batty, GD Batty, IJ Deary, IJ Deary, IJ Deary, J Ashburner, J Gläscher, J Schrouff, J Schrouff, JP Rushton, KL Narr, LS Gottfredson, MA McDaniel, ME Tipping, NA Goriounova, Natacha Akshoomoff, NC Andreasen, Neil P. Oxtoby, RB McCall, Rex E. Jung, S Fors, S Karama, SB Blumberg, T Rohlfing, W Johnson   +34 more
core   +2 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

A Further Look at Reading the Mind in the Eyes-Child Version: Association With Fluid Intelligence, Receptive Language, and Intergenerational Transmission in Typically Developing School-Aged Children

Frontiers in Psychology, 2020
A number of tasks have been developed to measure the affective theory of mind (ToM), nevertheless, recent studies found that different affective ToM tasks do not correlate with each other, suggesting that further studies on affective ToM and its ...
Anna Maria Rosso, Arianna Riolfo
doaj   +1 more source

Crystallized and Fluid Intelligence

, 2018
The Gf-Gc theory of cognitive abilities is a psychometric theory of intelligence based on intelligence and ability tests. Evidence in favor of the theory has largely been gathered via factor analytic and developmental studies of intelligence, but also with respect to school/education achievement and biological/genetic evidence.
Ghisletta, Paolo, Lecerf, Thierry
openaire   +3 more sources

Pattern recognition issues on anisotropic smoothed particle hydrodynamics

, 2013
This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence.
Marinho, Eraldo Pereira
core   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

ACE2: accurately learning subseasonal to decadal atmospheric variability and forced responses

npj Climate and Atmospheric Science
Existing machine learning models of weather variability are not formulated to enable assessment of their response to varying external boundary conditions such as sea surface temperature and greenhouse gases.
Oliver Watt-Meyer, Brian Henn, Jeremy McGibbon, Spencer K. Clark, Anna Kwa, W. Andre Perkins, Elynn Wu, Lucas Harris, Christopher S. Bretherton   +8 more
doaj   +1 more source