This article confirms that industry compliance and enforcement processes are an essential consideration in the growing pantheon of legal and commercial determinants of public health. While alcohol control laws vary between individual jurisdictions, their development and application are confronted by a common threat of undue industry influence or capture. This necessitates a greater understanding of this phenomenon to better inform a collective and effective international public health response. New South Wales Australia, has developed a layer of alcohol industry compliance laws in the form of disciplinary schemes. This article critically explicates the first of these, the Violent Venues Scheme (VVS), to determine the nature and extent of any capture. This would significantly compromise harm minimisation statutory objects and disrupt the democratic process and the rule of law. In contrast, an influential industry identity, attributed the earlier last drinks laws, VVS and a related scheme as causing the alleged destruction of Sydney's nighttime economy and fun. The research also analyses the indispensible role of a neoliberal paradigm in legitimising exclusive relationships between governments and industry. This is indelibly imprinted on the alcohol regulatory landscape.
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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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