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Your search for "Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach" yielded 114420 hits
Infectivity of exhaled SARS-CoV-2 aerosols is sufficient to transmit covid-19 within minutes
Comparison of airborne SARS-CoV-2 Omicron and pre-Delta variants around infected patients
Airborne SARS-CoV-2 in healthcare settings : when, where and how to prevent it?
Structural basis for small molecule binding to the SARS-CoV-2 nsp10–nsp14 ExoN complex
Air sampling of SARS-CoV-2 in hospital wards
Air sampling of SARS-CoV-2 in hospitals
Thrombocytopenia following Pfizer and Moderna SARS-CoV-2 vaccination
SARS‐CoV‐2 and pregnancy outcomes under universal and non‐universal testing in Sweden: register‐based nationwide cohort study
COVID-19 during Pregnancy and Postpartum:: I) Pathobiology of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) at Maternal-Fetal Interface
What Can Be Learned About the Development of the Bulgarian Rose Oil Industry by Employing the Cluster Approach?
Clustering approach for geometrically based channel model in urban environments
Theoretical EXAFS studies of a model of the oxygen-evolving complex of photosystem II obtained with the quantum cluster approach
How can a cluster approach enhance innovation capacity in Russia? A comparative study of innovation policies in the EU and Russia
Embedded cluster approach for accurate electronic structure calculations of 229Th :CaF2
Navigating Information Overload Caused by Automated Testing – A Clustering Approach in Multi-Branch Development
Background. Test automation is a widely used technique to increase the efficiency of software testing. However, executing more test cases increases the effort required to analyze test results. At Qlik, automated tests run nightly for up to 20 development branches, each containing thousands of test cases, resulting in information overload. Aim. We therefore develop a tool that supports the analysis
Consistent boundary conditions for PDE filter regularization in topology optimization
Deep sequencing of uveal melanoma identifies a recurrent mutation in PLCB4.
Biologi: Mossor - morfologi och artidentifiering
Optimal Inverse Design Based on Memetic Algorithms - Part 1 : Theory and Implementation
A memetic framework for optimal inverse design is proposed by combining a local gradient-based procedure and a robust global scheme. The procedure is based on method-of-moments matrices and does not demand full inversion of a system matrix. Fundamental bounds are evaluated for all optimized metrics in the same manner, providing natural stopping criteria and quality measures for realized devices. C