The COVID-19 pandemic is bringing about far-reaching structural changes on both the economy and public health, and conventional methodologies have to be fine-tuned to assist public health decision making. In this context, behavioural economics, which is situated at the crossroads between economics and social psychology, is an undeniably innovative field. In contrast with conventional models, the economic models of behavioural economics incorporate psychological and social determinants to produce more accurate predictions of individual behaviour. In the last 20 years, the scientific community has been using this approach's quantitative tool, experimental economics, in many areas of health, including prevention, promotion, human resources and social signage. Studies have come up with effective solutions that have improved best public health practices and provided sources of inspiration that should not be overlooked in the fight against COVID-19. They have allowed natural human behaviour to take a central role again, helped us to understand how the social and economic environment influences individuals, and enabled us to anticipate human reactions and so make faster adjustments to public policies.
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http://dx.doi.org/10.17269/s41997-021-00503-w | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
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January 2025
Department of Surgery, Laboratory of Tumor Immunology and Immunotherapy, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Immunology advances have increased our understanding of autoimmune, auto-inflammatory, immunodeficiency, infectious, and other immune-mediated inflammatory diseases (IMIDs). Furthermore, evidence is growing for the immune involvement in aging, metabolic and neurodegenerative diseases, and different cancers. However, further research has indicated sex/gender-based immune differences, which further increase higher incidences of various autoimmune diseases (AIDs), such as systemic lupus erythematosus (SLE), myasthenia gravis, and rheumatoid arthritis (RA) in females.
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January 2025
Department of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, 210000 Nanjing, Jiangsu, China.
Background: Pre-eclampsia (PE) is a gestational disorder that significantly endangers maternal and fetal health. Transfer ribonucleic acid (tRNA)-derived small RNAs (tsRNAs) are important in the progression and diagnosis of various diseases. However, their role in the development of PE is unclear.
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