Correction: Individual differences in associative/semantic priming: Spreading of activation in semantic memory and epistemically unwarranted beliefs. [PDF]
PLOS One Staff.
europepmc +1 more source
Modeling the Remote Associates Test as Retrievals from Semantic Memory. [PDF]
Schatz J, Jones SJ, Laird JE.
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ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
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Traces of semantization - from episodic to semantic memory in a spiking cortical network model. [PDF]
Chrysanthidis N +3 more
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ABSTRACT The transition toward circular fashion is widely promoted as a pathway to sustainable development, yet consumer resistance continues to hinder the adoption of circular business models across resale, rental, repair, and remaking. Existing research identifies numerous consumer barriers, but insights remain fragmented, model‐specific, and largely
Sophie Rasfeld
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Transitional gradation and the distinction between episodic and semantic memory. [PDF]
Gentry H, Buckner C.
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Beauty and Wellness in the Semantic Memory of the Beholder. [PDF]
Kenett YN, Ungar L, Chatterjee A.
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Differences in Immediate and Delayed Suggestibility Among Children With Dyslexia and Controls
ABSTRACT The primary aim of this study was to investigate the relationship between dyslexia and suggestibility in children, and the extent to which this relationship is accounted for by performance on Word Tasks. Participants comprised 95 children with dyslexia and 109 controls.
Gisli Gudjonsson +2 more
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Effects of transcranial direct current stimulation combined with retrieval practice on semantic memory in patients with schizophrenia. [PDF]
Pan W, Li T, Ma X, Huo X.
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Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
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