Results 181 to 190 of about 453,832 (278)

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

open access: yesBusiness Strategy and the Environment, EarlyView.
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
wiley   +1 more source

Consumer Resistance to Circular Fashion: A Systematic Literature Review of Consumer Barriers and Innovation Resistance in Circular Business Models

open access: yesBusiness Strategy and the Environment, EarlyView.
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
wiley   +1 more source

Beauty and Wellness in the Semantic Memory of the Beholder. [PDF]

open access: yesFront Psychol, 2021
Kenett YN, Ungar L, Chatterjee A.
europepmc   +1 more source

Differences in Immediate and Delayed Suggestibility Among Children With Dyslexia and Controls

open access: yesBehavioral Sciences &the Law, EarlyView.
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
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
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
wiley   +1 more source

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