Avian Reovirus: a Furious and Fast Evolving Pathogen.
Journal of medical microbiology(2023)SCI 4区
Univ Maryland
Abstract
Avian reoviruses (ARVs) have a significant economic impact on the poultry industry, affecting commercial and backyard flocks. Spread feco-orally, or vertically, many do not cause morbidity, but pathogenic strains can contribute to several dis-eases, including tenosynovitis/arthritis, which is clinically the most significant. The last decade has seen a surge in cases in the US, and due to ongoing evolution, seven genotypic clusters have now been identified. Control efforts include strict biosecurity and vaccination with commercial and autogenous vaccines. Research priorities include improving understand-ing of pathogenesis and developing new vaccines guided by ongoing molecular and serologic surveillance.
MoreTranslated text
Key words
ARV,avian orthoreovirus,immunosuppression,malabsorption,poultry,viral arthritis-tenosynovitis
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
2004
被引用46 | 浏览
2005
被引用102 | 浏览
2003
被引用75 | 浏览
2013
被引用11 | 浏览
2000
被引用61 | 浏览
1989
被引用44 | 浏览
2003
被引用90 | 浏览
2013
被引用42 | 浏览
1957
被引用72 | 浏览
2015
被引用101 | 浏览
2018
被引用11 | 浏览
2019
被引用34 | 浏览
2022
被引用4 | 浏览
1983
被引用38 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper