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What a transparent Romance language with a Germanic gender-determiner mapping tells us about gender retrieval: Insights from European Portuguese ; Gender processing in European Portuguese
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Cross-linguistic gender congruency effects during lexical access in novice L2 learners: evidence from ERPs
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In: ISSN: 2327-3798 ; EISSN: 2327-3801 ; Language, Cognition and Neuroscience ; https://hal.archives-ouvertes.fr/hal-03599139 ; Language, Cognition and Neuroscience, Taylor and Francis, In press, ⟨10.1080/23273798.2022.2039726⟩ (2022)
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Sleeping neonates track transitional probabilities in speech but only retain the first syllable of words
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal.archives-ouvertes.fr/hal-03620600 ; Scientific Reports, Nature Publishing Group, 2022, 12 (1), pp.4391. ⟨10.1038/s41598-022-08411-w⟩ (2022)
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The influence of singing with text and a neutral syllable on Portuguese children´s vocal performance, song recognition, and use of singing voice
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Terminological Methods in Lexicography: Conceptualising, Organising, and Encoding Terms in General Language Dictionaries
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Discriminating Bacterial Infection from Other Causes of Fever Using Body Temperature Entropy Analysis
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In: Entropy; Volume 24; Issue 4; Pages: 510 (2022)
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Abstract:
Body temperature is usually employed in clinical practice by strict binary thresholding, aiming to classify patients as having fever or not. In the last years, other approaches based on the continuous analysis of body temperature time series have emerged. These are not only based on absolute thresholds but also on patterns and temporal dynamics of these time series, thus providing promising tools for early diagnosis. The present study applies three time series entropy calculation methods (Slope Entropy, Approximate Entropy, and Sample Entropy) to body temperature records of patients with bacterial infections and other causes of fever in search of possible differences that could be exploited for automatic classification. In the comparative analysis, Slope Entropy proved to be a stable and robust method that could bring higher sensitivity to the realm of entropy tools applied in this context of clinical thermometry. This method was able to find statistically significant differences between the two classes analyzed in all experiments, with sensitivity and specificity above 70% in most cases.
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Keyword:
Approximate Entropy; body temperature; classification; fever; Sample Entropy; Slope Entropy; time series
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URL: https://doi.org/10.3390/e24040510
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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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Science and Heritage Language Integrated Learning (SHLIL): Evidence for the Effectiveness of an Innovative Science Outreach Program for Migrant Students ...
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Comprehension of different types of novel metaphors in monolinguals and multilinguals ...
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Food and medicinal uses of Annona senegalensis Pers.: a country-wide assessment of traditional theoretical knowledge and actual uses in Benin, West Africa ...
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Food and medicinal uses of Annona senegalensis Pers.: a country-wide assessment of traditional theoretical knowledge and actual uses in Benin, West Africa ...
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MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages ...
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An NLP Solution to Foster the Use of Information in Electronic Health Records for Efficiency in Decision-Making in Hospital Care ...
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Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios ...
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Life is not Always Depressing: Exploring the Happy Moments of People Diagnosed with Depression ...
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