Publications by authors named "A Lyons"
Alcohol, affective atmospheres and structures of feeling in women at midlife.
Int J Drug Policy
December 2024
Introduction: Women at midlife have increased rates of harmful drinking in many high-income countries. This cohort grew up within permissive alcohol environments that encouraged women's consumption, linking it to success, femininity, and empowerment. This research drew on notions of 'structures of feeling' and 'affective atmospheres' to explore how women at midlife describe and make sense of alcohol and drinking within their lives.
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- Data on acute coronary syndrome (ACS) in Africa is insufficient, particularly regarding the increasing cases of premature ACS, highlighting the need for an epidemiological assessment to identify risk factors and improve management practices.
- The European Atherosclerosis Society initiated the Lipid Registry of Africa (EAS-LIPRA) to create a standardized registry that collects and analyzes data on premature ACS across multiple African countries.
- EAS-LIPRA aims to enhance understanding of ACS by stratifying data based on income levels and urban/rural residence, using valid statistical methods to compare demographics and management trends, potentially serving as a model for similar initiatives in other developing regions.
Introduction: The study aims are to: (i) explore methods for identifying alcohol company marketing in metaverses; (ii) identify current types of alcohol marketing in metaverses; and (iii) identify dominant portrayals and meanings of alcohol marketing in these settings.
Methods: Our design was exploratory, employing various approaches to identify alcohol company marketing across multiple metaverses. In stage one, we systematically navigated through metaverses as an avatar, documenting and coding all instances of alcohol company marketing.
Background: Artificial intelligence-machine learning (AI-ML) has demonstrated the ability to extract clinically useful information from electrocardiograms (ECGs) not available using traditional interpretation methods. There exists an extensive body of AI-ML research in fields outside of cardiology including several open-source AI-ML architectures that can be translated to new problems in an "off-the-shelf" manner.
Objective: We sought to address the limited investigation of which if any of these off-the-shelf architectures could be useful in ECG analysis as well as how and when these AI-ML approaches fail.