In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".

Paragraph: Several French regions where COVID19 has been reported currently show a renewed increase in ILI cases in the general practice based Sentinelles network. Here we computed the number of excess cases by region and found correlation with the number of reported COVID19 cases so far. These data suggest larger circulation of SARS-CoV-2 in the French population than apparent from confirmed cases. 
 Title: Excess cases of Influenza like illnesses in France synchronous with COVID19 invasion. Pierre-Yves Boëlle 1 and the Sentinelles syndromic and viral surveillance group
True

Paragraph: Besides being a common threat to farm animals and poultry, coronavirus (CoV) was responsible for the human severe acute respiratory syndrome (SARS) epidemic in 2002-4. However, many aspects of CoV behavior, including modes of its transmission, are yet to be fully understood. We show that the amount and the peculiarities of distribution of the protein intrinsic disorder in the viral shell can be used for the efficient analysis of the behavior and transmission modes of CoV. The proposed model allows categorization of the various CoVs by the peculiarities of disorder distribution in their membrane (M) and nucleocapsid (N). This categorization enables quick identification of viruses with similar behaviors in transmission, regardless of genetic proximity. Based on this analysis, an empirical model for predicting the viral transmission behavior is developed. This model is able to explain some behavioral aspects of important coronaviruses that previously were not fully understood. The new predictor can be a useful tool for better epidemiological, clinical, and structural understanding of behavior of both newly emerging viruses and viruses that have been known for a long time. A potentially new vaccine strategy could involve searches for viral strains that are characterized by the evolutionary misfit between the peculiarities of the disorder distribution in their shells and their behavior. 
 Title: Understanding Viral Transmission Behavior via Protein Intrinsic Disorder Prediction: Coronaviruses
True

Paragraph: Hepatitis A is an acute infection caused by Hepatitis A virus (HAV), which is widely distributed throughout the world. The HAV 3C cysteine protease (3C pro ), an important nonstructural protein, is responsible for most cleavage within the viral polyprotein and is critical for the processes of viral replication. Our group has previously demonstrated that HAV 3C pro cleaves human NF-kB essential modulator (NEMO), a kinase required in interferon signaling. Based on this finding, we generated four luciferase-based biosensors containing the NEMO sequence (PVLKAQYADIYKA) that is cleaved by HAV 3C pro and/or the Nostoc punctiforme DnaE intein, to monitor the activity of HAV 3C pro in human embryonic kidney cells (HEK-293T). Western blotting showed that HAV 3C pro recognized and cleaved the NEMO cleavage sequence incorporated in the four biosensors, whereas only one cyclized luciferasebased biosensor (233-DnaE-HAV, 233DH) showed a measurable and reliable increase in firefly luciferase activity, with very low background, in the presence of HAV 3C pro . With this biosensor (233DH), we monitored HAV 3C pro activity in HEK-293T cells, and tested it against a catalytically deficient mutant HAV 3C pro and other virus-encoded proteases. The results showed that the activity of this luciferase biosensor is specifically dependent on HAV 3C pro . Collectively, our data demonstrate that the luciferase biosensor developed here might provide a rapid, sensitive, and efficient evaluation of HAV 3C pro activity, and should extend our better understanding of the biological relevance of HAV 3C pro . 
 Title: Assessing activity of Hepatitis A virus 3C protease using a cyclized luciferase-based biosensor

True