DEVELOPMENT AND CHARACTERIZATION OF REVERSE GENETICS SYSTEMS OF FELINE INFECTIOUS PERITONITIS VIRUS FOR ANTIVIRAL RESEARCH

Development and characterization of reverse genetics systems of feline infectious peritonitis virus for antiviral research

Abstract Feline infectious peritonitis (FIP) is a lethal, immune-mediated disease in cats caused by feline infectious peritonitis virus (FIPV), a Acrylic Bong with Gas Mask biotype of feline coronavirus (FCoV).In contrast to feline enteric coronavirus (FECV), which exclusively infects enterocytes and causes diarrhea, FIPV specifically targets macro

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Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network

Landslide susceptibility prediction (LSP) modeling is an important and challenging problem.Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited LSP performance when leveraging conventional machine learning models.In this study, a deep-learning-based model using the long short-term memory (LSTM) recurrent neu

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