IDENTIFICATION OF A BROAD SARBECOVIRUS NEUTRALIZING ANTIBODY TARGETING A CONSERVED EPITOPE ON THE RECEPTOR-BINDING DOMAIN

Identification of a broad sarbecovirus neutralizing antibody targeting a conserved epitope on the receptor-binding domain

Summary: Omicron, as the emerging variant with enhanced vaccine tolerance, has sharply disrupted most therapeutic antibodies.Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the subgenus sal manaro knives Sarbecovirus, members of which share high sequence similarity.Herein, we report one sarbecovirus antibody, 5817, which has

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A quality evaluation method for the unstructured defect record of relay protection devices based on ontology and knowledge graph

The original unstructured record data for the defect of the relay protection devices (RPDs) may contain problems influencing the data mining, and it is lack of quantitative evaluation.So the purpose of this paper is to evaluate the quality of these defective texts of relay protection devices, and it proposes a text quality evaluation method for the

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Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning

With various malware, botnets are the legitimate risk increasing against cybersecurity providing criminal operations like malware dispersal, distributed denial of service attacks, fraud clicking, phishing, and identification of theft.Existing techniques used for detection of botnet, which are suitable only for specific command of botnet and protoco

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Single-Cell Atlas Reveals the Hemocyte Subpopulations and Stress Responses in Asian Giant Softshell Turtle during Hibernation

Hibernation in turtle amrutharishtam price species is an adaptive survival strategy to colder winter conditions or food restrictions.However, the mechanisms underlying seasonal adaptions remain unclear.In the present study, we collected hemocytes from Pelochelys cantorii and compared the molecular signature of these cells between the active state a

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Image Encryption Based on Improved Lorenz System

This paper proposes a amrutharishtam price new method to strengthen the nonlinear kinetic complexity and ergodicity of Lorenz system.Through the analysis of auto-correlation, frequency distribution, approximate entropy and information entropy, the improved Lorenz system has better dynamical properties than Lorenz system.According to NIST-800-22 tes

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