Results 51 to 60 of about 1,304,075 (309)

Effects of Music Training on Inhibitory Control and Associated Neural Networks in School-Aged Children: A Longitudinal Study

open access: yesFrontiers in Neuroscience, 2019
Inhibitory control, the ability to suppress an immediate dominant response, has been shown to predict academic and career success, socioemotional wellbeing, wealth, and physical health.
Sarah L. Hennessy   +4 more
doaj   +1 more source

Structure and play: rethinking regulation in the higher education sector [PDF]

open access: yes, 2007
This paper explores possible tactics for academics working within a context of increasing regulation and constraint. One suggested tactic is to move outside of a creativity-conformity binary.
de Certeau M.   +23 more
core   +1 more source

Decoupling Size and Electronic Effects in Doped SrTiO3 Photocatalysts Through Surface Area–Normalized CO2 Hydrogenation Rates

open access: yesAdvanced Functional Materials, EarlyView.
Exploring the photocatalytic reverse water–gas shift (RWGS) reaction on doped SrTiO3 nanoparticle films, reveals that normalizing catalytic rates by the catalyst's specific surface area (SSA) disentangled surface area effects from the catalyst's intrinsic material properties.
Dikshita Bhattacharyya   +6 more
wiley   +1 more source

Empowering Expression for Users with Aphasia through Constrained Creativity [PDF]

open access: yes, 2019
Creative activities allow people to express themselves in rich, nuanced ways. However, being creative does not always come easily. For example, people with speech and language impairments, such as aphasia, face challenges in creative activities that ...
Marshall, J.   +3 more
core   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 more
wiley   +1 more source

Contrast Information Dynamics: A Novel Information Measure for Cognitive Modelling

open access: yesEntropy
We present contrast information, a novel application of some specific cases of relative entropy, designed to be useful for the cognitive modelling of the sequential perception of continuous signals.
Steven T. Homer   +2 more
doaj   +1 more source

Application of Improved Image Processing Technology in New Media Short Video Quality Improvement in Film and Television Postproduction

open access: yesInternational Journal of Digital Multimedia Broadcasting, 2023
With the development of film and television industry and the rise of new media short video, film and television postproduction process has higher and higher requirements for image quality.
Yi Wang
doaj   +1 more source

Impact of Perceived Supportive Learning Environment on Mathematical Achievement: The Mediating Roles of Autonomous Self-Regulation and Creative Thinking

open access: yesFrontiers in Psychology, 2022
A total of 1,281 Chinese students in grades 3–6 participated in a study that examined the relationships among student-perceived supportive learning environment (PSLE), mathematical achievement, autonomous self-regulation, and creative thinking.
Weihua Niu   +4 more
doaj   +1 more source

Creativity and innovation: A contribution of behavioral economics [PDF]

open access: yes, 2019
Innovation in products and services is seen by scholars, by specialized media in management, and by some managers as the main currency in modern economies.
Caleiro, António Bento   +2 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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