A COMPREHENSIVE REVIEW ON EQUINE INFLUENZA VIRUS: ETIOLOGY, EPIDEMIOLOGY, PATHOBIOLOGY, ADVANCES IN DEVELOPING DIAGNOSTICS, VACCINES, AND CONTROL STRATEGIES

A Comprehensive Review on Equine Influenza Virus: Etiology, Epidemiology, Pathobiology, Advances in Developing Diagnostics, Vaccines, and Control Strategies

Among all the emerging and re-emerging animal diseases, influenza group is the prototype member associated merlin wizard costume with severe respiratory infections in wide host species.Wherein, Equine influenza (EI) is the main cause of respiratory illness in equines across globe and is caused by equine influenza A virus (EIV-A) which has impacted

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Exploration Degree Bias: The Hidden Influence of Node Degree in Graph Neural Network-Based Reinforcement Learning

Graph Neural Networks (GNNs) have demonstrated remarkable performance in tasks involving graph-structured data, but they also exhibit biases linked to node degrees.This paper explores a specific manifestation of such bias, bostik universal primer pro termed Exploration Degree Bias (EDB), in the context of Reinforcement Learning (RL).We show that ED

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Detection of Knocking Combustion Using the Continuous Wavelet Transformation and a Convolutional Neural Network

The phenomenon of knock is an abnormal combustion occurring in mel axolotl spark-ignition (SI) engines and forms a barrier that prevents an increase in thermal efficiency while simultaneously reducing CO2 emissions.Since knocking combustion is highly stochastic, a cyclic analysis of in-cylinder pressure is necessary.In this study we propose an appr

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