Background: To discuss a range of strategic options for China to improve the accessibility of direct antiviral agents (DAAs) as the treatment for hepatitis C. Methods: We adopted a narrative review approach for comprehensive comparisons and in-depth analyses of the country context, and barriers of increasing the DAA treatment rate of hepatitis C in Malaysia and China, and how the two countries have been navigating the hepatitis C agenda.
Major challenges faced by the human population in recent times include population increase, resource depletion and deterioration of environmental quality. The scarcity of food for the rising population is a critical issue faced by the world in wake of the unpredicted change in climatic conditions. The aquaculture industry plays an important role in solving global food scarcity. It is projected that the share of fish for human consumption originating from aquaculture is projected to increase from 52% (average for the period 2016–2018) to 58% in 2028.
This study provides new insights into the potential use of machine learning in hydrological simulations.
This study applies a two-step validation method of a groundwater potential mapping approach and can improve groundwater mapping for data scarce regions.
A study to determine the knowledge and attitudes of future physicians in the Cordillera Region of the Philippines towards climate change.
Alzheimer's disease is a strong predictor in survival after hip fracture surgery.
This Research Paper supports SDGs 5 and 10 by applying machine learning techniques to understand gender-based violence in contexts with low prevalence data, offering insight into factors associated with non-marital sexual violence in India.
This article supports SDGs 7 and 9 by introducing interpretable artificial intelligence (AI) tools, especially proxy models based on artificial neural networks, efficient variable analysis and optimal value prediction of membrane electrode components in proton exchange membrane fuel cells, thereby improving their performance and reducing computational costs.
Scientists and governments of South Asian countries can work together more efficiently in the future, not just to react to the urban socio-economic and environmental problems of today, but work with superior foresight today to make strong decisions for tomorrow.
Water is essential for the life, but many people lack the accessibility to clean and healthy drinking water and die as a consequence of water-borne infections.
