Search results
Results from the Health.Zone Content Network
The Sinopharm WIBP COVID-19 vaccine, also known as WIBP-CorV, [1] [2] is one of two inactivated virus COVID-19 vaccines developed by Sinopharm. Peer-reviewed results show that the vaccine is 72.8% effective against symptomatic cases and 100% against severe cases (26 cases in vaccinated group vs. 95 cases in placebo group). [3]
A biofilm is a syntrophic community of microorganisms in which cells stick to each other and often also to a surface. [2] [3] These adherent cells become embedded within a slimy extracellular matrix that is composed of extracellular polymeric substances (EPSs). [2] [3] The cells within the biofilm produce the EPS components, which are typically ...
Learning sciences is the critical theoretical understanding of learning [1] of learning as well as to engage in the design and implementation of learning innovations, and the improvement of instructional methodologies. LS research traditionally focuses on cognitive-psychological, social-psychological, cultural-psychological and critical ...
Side Effects. Dizziness, slow heartbeat, constipation, nausea, headache, or tiredness may occur. If any of these effects last or get worse, tell your doctor or pharmacist promptly. To reduce the ...
Freedom. Since learning is an active process, students must have freedom: freedom of choice, freedom of action, freedom to bear the results of action—these are the three great freedoms that constitute personal responsibility. If no freedom is granted, students may have little interest in learning.
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.
Collaborative learning is a situation in which two or more people learn or attempt to learn something together. [1] Unlike individual learning, people engaged in collaborative learning capitalize on one another's resources and skills (asking one another for information, evaluating one another's ideas, monitoring one another's work, etc.).
Illustration of transfer learning. Transfer learning ( TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.