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Computational design of potent dimeric phenylthiazole NS5A inhibitors for hepatitis C virus.
Sci Rep
December 2024
Bioinformatics Laboratory, College of Computing, University Mohammed VI Polytechnic, Ben Guerir, Morocco.
Hepatitis C virus (HCV) presents a significant global health issue due to its widespread prevalence and the absence of a reliable vaccine for prevention. While significant progress has been achieved in therapeutic interventions since the disease was first identified, its resurgence underscores the need for innovative strategies to combat it. The nonstructural protein NS5A is crucial in the life cycle of the HCV, serving as a significant factor in both viral replication and assembly processes.
View Article and Find Full Text PDFCoupling coordination relationship between health resource allocation and regional economic development: an empirical study based on five provinces in eastern China.
Front Public Health
December 2024
School of Public Health, Shandong Second Medical University, Weifang, China.
Background: Improving system coordination is a pivotal strategy and a critical pathway for social governance. Chinese society is currently facing a significant challenge in aligning the allocation of health resources with economic development. Evaluating the level of coordinated development within the system can provide valuable insights to support the construction of a more coordinated China and foster high-quality development.
View Article and Find Full Text PDFPiecing together the narrative of #longcovid: an unsupervised deep learning of 1,354,889 X (formerly Twitter) posts from 2020 to 2023.
Front Public Health
December 2024
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Objective: To characterize the public conversations around long COVID, as expressed through X (formerly Twitter) posts from May 2020 to April 2023.
Methods: Using X as the data source, we extracted tweets containing #long-covid, #long_covid, or "long covid," posted from May 2020 to April 2023. We then conducted an unsupervised deep learning analysis using Bidirectional Encoder Representations from Transformers (BERT).
Establishing clinical research networks for future infectious disease outbreak responses in Southeast Asia: Report of a workshop on challenges and opportunities.
IJID Reg
March 2025
Programme for Research in Epidemic Preparedness and Response (PREPARE), Ministry of Health, Singapore.
The COVID-19 pandemic highlighted the critical need for well-established clinical research networks capable of rapid response during infectious disease outbreaks. In Southeast Asia, the absence of active research networks at the onset of the COVID-19 contributed to gaps in regional preparedness. This manuscript discusses the challenges and opportunities identified during a regional workshop held in Singapore (February 26 to March 1, 2024), which brought together 130 stakeholders from across the region.
View Article and Find Full Text PDFMitigating saturation effects in rice nitrogen estimation using Dualex measurements and machine learning.
Front Plant Sci
December 2024
Institute of Biotechnology, Jiaxing Academy of Agricultural Science, Jiaxing, China.
Nitrogen is essential for rice growth and yield formation, but traditional methods for assessing nitrogen status are often labor-intensive and unreliable at high nitrogen levels due to saturation effects. This study evaluates the effectiveness of flavonoid content (Flav) and the Nitrogen Balance Index (NBI), measured using a Dualex sensor and combined with machine learning models, for precise nitrogen status estimation in rice. Field experiments involving 15 rice varieties under varying nitrogen application levels collected Dualex measurements of chlorophyll (Chl), Flav, and NBI from the top five leaves at key growth stages.
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