Results 161 to 170 of about 2,980,426 (302)
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
What Means Fourth Industrial Revolution for Medicine. [PDF]
Cinteza M.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Half-millennium evidence suggests that extinction debts of global vertebrates started in the Second Industrial Revolution. [PDF]
Liao Z, Peng S, Chen Y.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
The Impact of the Fourth Industrial Revolution on Managers' Sense of Coherence. [PDF]
Mayer CH, Wegerle C, Oosthuizen RM.
europepmc +1 more source
Growth Theory and Industrial Revolutions in Britain and America. [PDF]
Long run economic growth has again become a major focus of economic theory. A perception of technological change as an economic process with externalities has motivated the development of aggregate models that generate different steady state growth paths.
Knick Harley
core
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source

