Results 71 to 80 of about 23,097 (201)

Creative thinking and cognitive estimation in Parkinson’s disease

open access: yesNeurological Research and Practice
Background Patients with Parkinson’s disease (PD) have been reported to exhibit unusual bouts of creativity (e.g., painting, writing), in particular in the context of treatment with dopaminergic agents.
Marcus Heldmann   +4 more
doaj   +1 more source

Harnessing the art of balance: Examining the effects of Tai Chi on creativity among art and design students

open access: yesActa Psychologica
The current study investigated the effects of an 8-week Tai Chi Chuan (TCC) intervention on creativity of art and design students in terms of divergent and convergent thinking skills.
Rongzhen Zhu   +3 more
doaj   +1 more source

PENGARUH PEMBELAJARAN KONTEKSTUAL DAN GAYA BERPIKIR TERHADAP HASIL BELAJAR SOSIOLOGI

open access: yesJurnal Pendidikan: Teori, Penelitian, dan Pengembangan, 2016
This study aims at discovering the learning outcome of the students using CTL and conventional learning strategy and also to investigate the learning outcome of sociology among the students who possess a divergent and convergent thinking style.
Izak Jakobis Makulua   +2 more
doaj   +1 more source

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan   +4 more
wiley   +1 more source

Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea   +53 more
wiley   +1 more source

The Effect of Brief Stair-Climbing on Divergent and Convergent Thinking. [PDF]

open access: yesFront Behav Neurosci, 2021
Matsumoto K   +10 more
europepmc   +1 more source

The Association of Amyloid‐β and Tau With Synaptic Dysfunction in Alzheimer's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the relative contributions of amyloid and tau to synaptic dysfunction in Alzheimer's disease (AD). Methods We included 109 cognitively unimpaired and impaired individuals from the Geneva Memory Center with available CSF synaptic biomarkers (neurogranin, SNAP‐25, GAP‐43). Participants were stratified according to amyloid (A)
Fausto Roveta   +11 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

The Role of Mind Wandering During Incubation in Divergent and Convergent Creative Thinking

open access: yesBrain Sciences
Background/Objectives. While mind wandering has often been linked to negative outcomes, some research suggests it has potential benefits for creativity, particularly through incubation.
Qiuyu Du, Rebecca Gordon, Andrew Tolmie
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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