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http://dx.doi.org/10.1016/j.sleh.2024.12.005 | DOI Listing |
Sleep Health
January 2025
Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, India.
Sci Rep
January 2025
Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei, Taiwan.
How does the fig tree Ficus benguetensis protect its investment in the production of figs and pollinating fig wasps against parasitism from non-pollinating fig wasps? This study documents a previously overlooked defense mechanism: fig abscission-the natural shedding of the fig fruit as a defense mechanism. Our bagging experiments showed that both the absence of pollination and high parasitism levels lead to the abortion of F. benguetensis figs, with positive correlations between parasitism levels, increased abscission rates, and decreased pollinator production.
View Article and Find Full Text PDFNat Sci Sleep
December 2024
Department of Otorhinolaryngology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Purpose: Obstructive sleep apnoea (OSA) is a common disease that benefits from early treatment and patient support in order to prevent secondary illnesses. This study assesses the capability of the large language model (LLM) ChatGPT-4o to offer patient support regarding first line positive airway pressure (PAP) and second line hypoglossal nerve stimulation (HGNS) therapy.
Methods: Seventeen questions, each regarding PAP and HGNS therapy, were posed to ChatGPT-4o.
Lancet Digit Health
January 2025
Department of Biomedical Informatics, Medical School, Harvard University, Boston, MA, USA. Electronic address:
Background: Patient notes contain substantial information but are difficult for computers to analyse due to their unstructured format. Large-language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4), have changed our ability to process text, but we do not know how effectively they handle medical notes. We aimed to assess the ability of GPT-4 to answer predefined questions after reading medical notes in three different languages.
View Article and Find Full Text PDFActa Psychol (Amst)
November 2024
National Economics University, Hanoi, Viet Nam.
The limited understanding of the detrimental repercussions stemming from the adoption of artificial intelligence, exemplified by ChatGPT, on users' mental health issues underscores the urgency of our current research endeavor. In response to this knowledge gap, our study employs the stimulus-organism-response (SOR) framework and implements a serial mediation model to probe into the impacts of compulsive ChatGPT usage on users' mental health outcomes. This model serves as a powerful analytical lens, allowing us to unravel the relationships between the stimulus (compulsive ChatGPT usage), organism (anxiety and burnout), and response (sleep disturbance).
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