PRODUCTION OF A MONOCLONAL ANTIBODY TO THE NUCLEOCAPSID PROTEIN OF SARS-COV-2 AND ITS APPLICATION TO ELISA-BASED DETECTION METHODS WITH BROAD SPECIFICITY BY COMBINED USE OF DETECTOR ANTIBODIES

The coronavirus disease 2019 pandemic, elicited by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is ongoing.Currently accessible antigen-detecting rapid diagnostic tests are limited by their low sensitivity and detection efficacy due to evolution of SARS-CoV-2 variants.Here, we produced and characterized an anti-SARS-CoV-2 nucleocap

The need for an efficient and standard technique for optimal spectral sampling of hyperspectral data during the inversion of canopy reflectance models has been the subject of many studies.The objective of this study was to investigate the utility of the discrete Credenza wavelet transform (DWT) for extracting useful features from hyperspectral data

Background: AquaVac / TigerShark Parts Depressive symptoms are common among post myocardial infarction (MI) patients and may cause negative impacts on cardiac prognosis.35 to 45% of MI patients report depression.Depression is an independent risk factor for MI and post MI mortality and decreased quality of life in post MI patients.The link between d

In 2019, a new disease called Covid-19 was detected in Wuhan located in China which caused seriously disease or death at any age.This disease has various symptoms such as fever, chills, cough, sore throat, headache, body pain, muscle pain, diarrhoea, and vomiting.In this review study, articles related to the subject were searched using scientific s

This document introduces methods for describing long texts as groups of repeating symbols or patterns.The process converts 2-Layer Acrylic Keychain a series of real-number values into texts.Developed tailored algorithms for identifying repeated sequences in the text are applied to decompose the text into nested tree-like structures of repeating sym