Results 101 to 110 of about 57,909 (296)
A New Type of Preference Reversal [PDF]
The classic preference reversal phenomenon arises in a comparison between a choice and a matching task. We present a new type of preference reversal which is entirely choice-based.
Jose Luis Pinto-Prades, Han Bleichrodt
core
Frontiers in Genetics, 2018 Several studies have demonstrated that exposure to arsenic in drinking water adversely affects brain development and cognitive function in adulthood.
Christina R. Steadman Tyler +5 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Reversal Learning Performance in the XY∗ Mouse Model of Klinefelter and Turner Syndromes
Frontiers in Behavioral Neuroscience, 2019 Klinefelter syndrome (KS; 47, XXY) and Turner syndrome (TS; 45, XO) are caused by two relatively common sex chromosome aneuploidies. These conditions are associated with an increased odds of neuropsychiatric disorders, including attention deficit ...
Shawn M. Aarde +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
wiley +1 more source
Purkinje spike burst-pause dynamics facilitates VOR phase-reversal learning. [PDF]
, 2019 (A) VOR gain adaptation with (red curve) and without (green curve) Purkinje spike burst-pause dynamics during: VOR adaptation (first 10000 s), phase-reversal learning (subsequent 12000 s), and normal VOR restoration (remaining 12000 s).
Angelo Arleo (173979) +4 more
core +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Reversal learning in the VDSRL task. [PDF]
, 2013 (A) Schematic representation of the behavioral training and testing protocol. The rewarded and unrewarded lever is indicated by the “+” and “−”, respectively. The rewarded lever was counterbalanced across rats.
Yongguo Yu (419019) +5 more
core +1 more source
Reversal in Tactile and Visual Learning [PDF]
Science, 1966 A, Moffett, G, Ettlinger
openaire +5 more sources