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Vaccination: a look at the social representations of Brazilian children.
Front Public Health
December 2024
CIEC, University of Minho, Braga, Portugal.
Introduction: The pandemic caused by COVID-19 has accentuated the debate on the need for vaccination and called into question the need to increasingly bring this topic, which is widely disseminated in the scientific world, to school classes at all schooling phases. In this scenario, science education plays a key role in disseminating knowledge about the importance of vaccination and the impacting factors of a lack of immunization. In order to better understand this movement, it is necessary to understand the representations of individuals as a way of broadening paths to change this scenario.
View Article and Find Full Text PDFNovel approach for predicting fake news stance detection using large word embedding blending and customized CNN model.
PLoS One
December 2024
Department College of Computer Science and Engineering, University of Hafr Al-Batin, Hafar Al-Batin, Saudi Arabia.
The proliferation of fake news is one of the major problems that causes personal and societal harm. In today's fast-paced digital age, misinformation spreads rapidly, often leaving individuals without the time to verify the authenticity of the information. This can cause irreparable damage to personal reputations and organizational credibility.
View Article and Find Full Text PDFThe data mining and high-performance network model of tourism electronic word of mouth for analysis of factors influencing tourists' purchasing behavior.
Sci Rep
December 2024
School of Hotel and Tourism Management, Shunde Polytechnic University, Foshan, Guangdong, 528333, China.
This study establishes a deep learning model for personalized travel recommendations based on factors that affect tourists' purchases to provide users with more accurate and personalized travel recommendations. Firstly, Natural Language Processing (NLP) technology is used to process and emotionally analyze tourism review information, dividing it into positive, negative, or neutral to understand tourists' attitudes towards purchasing products and services. Secondly, a High-Performance Network (HPN) model is constructed based on factors that affect tourists' purchases.
View Article and Find Full Text PDFWhy might there be lexical-prelexical feedback in speech recognition?
Cognition
February 2025
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, NL, Netherlands; Max Planck Institute for Psycholinguistics, Nijmegen, NL, Netherlands.
Article Synopsis
- The authors challenge the conclusion that online activation feedback enhances word recognition, as proposed by Magnuson et al. (2023), arguing that the TRACE model may not accurately reflect human word recognition.
- They point out that the speed-up in word recognition could result from changes in other TRACE model parameters and that the model itself is suboptimal compared to Bayesian models.
- The authors claim that the evidence supporting activation feedback is not robust and that alternative explanations exist for the data cited by Magnuson et al., suggesting that other feedback mechanisms may be more relevant for aiding word recognition.
Tracking the Spread of Pollen on Social Media Using Pollen-Related Messages From Twitter: Retrospective Analysis.
J Med Internet Res
October 2024
CINBIO, Universidade de Vigo (University of Vigo), Vigo, Spain.
Background: Allergy disorders caused by biological particles, such as the proteins in some airborne pollen grains, are currently considered one of the most common chronic diseases, and European Academy of Allergy and Clinical Immunology forecasts indicate that within 15 years 50% of Europeans will have some kind of allergy as a consequence of urbanization, industrialization, pollution, and climate change.
Objective: The aim of this study was to monitor and analyze the dissemination of information about pollen symptoms from December 2006 to January 2022. By conducting a comprehensive evaluation of public comments and trends on Twitter, the research sought to provide valuable insights into the impact of pollen on sensitive individuals, ultimately enhancing our understanding of how pollen-related information spreads and its implications for public health awareness.
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