Abstract Shields Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy can greatly impact individual patient care and public health.However, current self-testing for COVID-19 detection suffers from low accuracy, mainly due to the LFA sensitivity and reading ambiguities.Here, we present deep learning-assisted smartphone-
In order to improve the seismic resistance of infrastructure and reduce the seismic disaster risk of important infrastructure, based on the results of earthquake disaster risk census in Zhejiang Province, comprehensively considering the construction Hair oil age, site type, fortification standards, construction area, building status of sports venue
Microorganisms with antimicrobial activity have been used to successfully control various plant pathogens.The discovery of organisms with protective activity depends on empirical screenings to assess microbial activity against pathogens of interest.Machine learning Suspension can accelerate the discovery process by making screening and, thus, disco