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http://dx.doi.org/10.1021/acs.est.4c03637 | DOI Listing |
Cognition
December 2024
Max Plank Institute for Psycholinguistics, Wundtlaan 1, 6525 XD Nijmegen, The Netherlands; Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, 6525 EN Nijmegen, The Netherlands.
Face-to-face communication is not only about 'what' is said but also 'how' it is said, both in speech and bodily signals. Beat gestures are rhythmic hand movements that typically accompany prosodic prominence in conversation. Yet, it is still unclear how beat gestures influence language comprehension.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
December 2024
Department of Computer Science, Columbia University, 1214 Amsterdam Ave, 721 Schapiro CEPSR, New York, NY, 10027, USA.
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after pregnancy. Because of its diverse clinical presentation, preeclampsia is an adverse pregnancy outcome that is uniquely challenging to predict and manage. In this paper, we developed racial bias-free machine learning models that predict the onset of preeclampsia with severe features or eclampsia at discrete time points in a nulliparous pregnant study cohort.
View Article and Find Full Text PDFChemphyschem
December 2024
Oxford University, Department of Chemistry, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
With a view towards the development of molecular spintronics, non-linear optics, and qubits, a great amount of research effort aims to establish the factors which govern the spin classification of diradicals. Electron spin resonance (ESR) is an indispensable tool for such research. However, in some cases, the mere presence of an ESR spectrum is insufficient to ascertain that the presumed diradical is indeed a triplet state.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
Department of Physics, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Unlabelled: Data-driven strategies have been widely used to distinguish experimental effects on single-trial EEG signals. However, how latency variability, such as within-condition jitter or latency shifts between conditions, affects the performance of EEG classifiers has not been well investigated. Without explicitly considering and disentangling such attributes of single trials, neural network-based classifiers have limitations in measuring their contributions.
View Article and Find Full Text PDFDiabetes Obes Metab
December 2024
LIGHT Laboratories, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
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