Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s40279-022-01786-w | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The high-osmolarity glycerol (HOG) pathway in .
mBio
January 2025
University of Angers, Brest University, IRF, SFR ICAT, Angers, France.
The emerging fungal pathogen is known for its strong skin tropism and resilience against antifungal and disinfection treatment, posing a significant challenge for healthcare units. Although efforts to identify the effectors of its unique pathogenic behavior have been insightful, the role of the high-osmolarity glycerol (HOG) pathway in this context remains unexplored. The study by Shivarathri and co-workers (R.
View Article and Find Full Text PDFWhat matters to mothers: A qualitative exploration of pain and recovery after cesarean section.
Acta Anaesthesiol Scand
March 2025
Department of Anesthesia and Intensive care, University Hospital of Southern Denmark, Kolding, Denmark.
Background: Fast recovery after cesarean section is vital since the mother not only has to take care of herself but also the newborn. Recovery scores are useful tools to measure and compare recovery; however, standardized questionnaires may miss in-depth patient experiences. What is important to women in the postoperative period after cesarean section can vary in different populations, making it crucial to understand the specific needs of one's own population.
View Article and Find Full Text PDFWearable Sensors for Plants: Status and Prospects.
Biosensors (Basel)
January 2025
College of Engineering, Huazhong Agricultural University, Wuhan 430070, China.
The increasing demand for smart agriculture has led to the development of agricultural sensor technology. Wearable sensors show great potential for monitoring the physiological and surrounding environmental information for plants due to their high flexibility, biocompatibility, and scalability. However, wearable sensors for plants face several challenges that hinder their large-scale practical application.
View Article and Find Full Text PDFPredicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study.
J Med Internet Res
January 2025
Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan.
Background: Health misinformation undermines responses to health crises, with social media amplifying the issue. Although organizations work to correct misinformation, challenges persist due to reasons such as the difficulty of effectively sharing corrections and information being overwhelming. At the same time, social media offers valuable interactive data, enabling researchers to analyze user engagement with health misinformation corrections and refine content design strategies.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!