In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

[EX Q]: Purpose: COVID-19 has become global threaten. CT acts as an important method of 60 diagnosis. However, human-based interpretation of CT imaging is time consuming. 61 More than that, substantial inter-observer-variation cannot be ignored. We aim at 62 developing a diagnostic tool for artificial intelligence (AI)-based classification of CT 63 images for recognizing COVID-19 and other common infectious diseases of the lung. 64 Experimental Design: In this study, images were retrospectively collected and 65 prospectively analyzed using machine learning. CT scan images of the lung that show 66 or do not show COVID-19 were used to train and validate a classification framework 67 based on convolutional neural network. Five conditions including COVID-19 68 pneumonia, non-COVID-19 viral pneumonia, bacterial pneumonia, pulmonary 69 tuberculosis, and normal lung were evaluated. Training and validation set of images 70 were collected from Wuhan Jin Yin-Tan Hospital whereas test set of images were 71 collected from Zhongshan Hospital Xiamen University and the fifth Hospital of 72 Wuhan. 73 Results: Accuracy, sensitivity, and specificity of the AI framework were reported. For 74 test dataset, accuracies for recognizing normal lung, COVID-19 pneumonia, 75 non-COVID-19 viral pneumonia, bacterial pneumonia, and pulmonary tuberculosis 76 were 99.4%, 98.8%, 98.5%, 98.3%, and 98.6%, respectively. For the test dataset, 77 accuracy, sensitivity, specificity, PPV, and NPV of recognizing COVID-19 were 78 98.8%, 98.2%, 98.9%, 94.5%, and 99.7%, respectively. 79 All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
[EX A]: Deep Learning-Based Recognizing COVID-19 Deep Learning-Based Recognizing COVID-19 and other Common Infectious Diseases of the Lung by Chest CT 2 Scan Images

[EX Q]: In this paper, we analyze a delayed SEIR epidemic model in which the latent and infected states are infective. The model has a globally asymptotically stable disease-free equilibrium whenever a certain epidemiological threshold, known as the basic reproduction number R 0 , is less than or equal to unity. We investigate the effect of the time delay on the stability of endemic equilibrium when R 0 > 1. We give criteria that ensure that endemic equilibrium is asymptotically stable for all time delays and a Hopf bifurcation occurs as time delay exceeds the critical value. We give formulae for the direction of Hopf bifurcations and the stability of bifurcated periodic solutions by applying the normal form theory and the center manifold reduction for functional differential equations. Numerical simulations are presented to illustrate the analytical results.
[EX A]: Hopf bifurcation analysis of a delayed SEIR epidemic model with infectious force in latent and infected period

[EX Q]: Plants have emerged as a modern production system to produce recombinant proteins-antigens that can be used as subunit vaccines. The ideal plant candidate for this purpose should be capable to sustain high levels of expression of foreign proteins without adverse effects on its growth and development. It is also essential that it has large biomass, is edible and suitable for long-term storage and delivery. This work is a part of an effort to develop Cruciferae-based production system using transgenic vegetable plants collard and cauliflower. Several parameters were tested and optimized to achieve an efficient stable transformation of these recalcitrant species with constructs containing expression cassettes for the known viral antigens. Using the original procedure we obtained transgenic collard cv Morris Heading that express high levels of smallpox vaccine candidate (B5) in leaves and retain its normal phenotype. Transgenic cauliflower plants cv Early Snowball were obtained in similar procedure and have shown detectable amounts of SARS coronavirus spike-protein (SARS-CoV S1) in floret tissue of mature curd. To our knowledge, this is the first report on generation of transgenic collard plants ever and the first successful attempt to use these vegetables for production of pharmaceutical proteins. #
[EX A]:
Collard and cauliflower as a base for production of recombinant antigens