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".

[Q]: Paragraph: Pulmonary gene delivery is thought to play an important role in treating genetically related diseases and may induce immunity towards pathogens entering the body via the airways. In this study we prepared poly (D,L-lactide-co-glycolide) (PLGA) nanoparticles bearing polyethyleneimine (PEI) on their surface and characterized them for their potential in serving as non-viral gene carriers to the pulmonary epithelium. Particles that were synthesized at different PLGA-PEI ratios and loaded with DNA in several PEI -DNA ratios, exhibited narrow size distribution in all formulations, with mean particle sizes ranging between 207 and 231 nm. Zeta potential was strongly positive (above 30 mV) for all the PEI -DNA ratios examined and the loading efficiency exceeded 99% for all formulations. Internalization of the DNA-loaded PLGA -PEI nanoparticles was studied in the human airway submucosal epithelial cell line, Calu-3, and DNA was detected in the endo-lysosomal compartment 6 h after particles were applied. Cytotoxicity of these nanoparticles was dependent on the PEI -DNA ratio and best cell viability was achieved by PEI -DNA ratios 1:1 and 0.5:1. These findings demonstrate that PLGA-PEI nanoparticles are a potential new delivery system to carry genes to the lung epithelium. q 
 Title: PLGA -PEI nanoparticles for gene delivery to pulmonary epithelium
[A]: False


[Q]: Paragraph: Human rhinovirus 3C protease (HRV 3C pro ) is known to be a promising target for development of therapeutic agents against the common cold because of the importance of the protease in viral replication as well as its expression in a large number of serotypes. To explore non-peptidic inhibitors of HRV 3C pro , a series of novel heteroaromatic esters was synthesized and evaluated for inhibitory activity against HRV 3C pro , to determine the structure-activity relationships. The most potent inhibitor, 7, with a 5-bromopyridinyl group, had an IC 50 value of 80 nM. In addition, the binding mode of a novel analog, 19, with the 4hydroxyquinolinone moiety, was explored by molecular docking, suggesting a new interaction in the S1 pocket. Ó 2009 Elsevier Ltd. All rights reserved. Picornaviruses include important human pathogens such as human rhinovirus (HRV), enterovirus (EV), coxsackievirus (CV), poliovirus (PV), and hepatitis A virus (HAV). HRVs are the single major cause of the common cold in populations of all ages. 1,2 Although rhinovirus infection is self-limiting, complications still occur in patients with asthma, congestive heart failure, bronchiectasis, and cystic fibrosis. 1 To date, no agent has been approved by the FDA for treatment of rhinovirus infection. In addition, the large number (>100) of known HRV serotypes makes vaccine development difficult. 3 Clinical treatments are directed toward relief of the most prominent symptoms of each clinical syndrome. Previous work on anti-rhinoviral therapeutic agents focused principally on capsid-binding anti-picornaviral compounds 4 and HRV 3C protease (3C pro ) inhibitors. 5, 6 HRV 3C pro is essential for virus replication, specifically catalyzing the cleavage of glutamine-glycine peptide bonds in a 230 kDa viral polyprotein produced by cellular translation of the viral RNA genome. HRV 3C pro belongs to the cysteine protease family, showing structural similarity to trypsin proteases, but sharing minimal homology with common mammalian enzymes. 7,8 Because of the importance of the enzyme in viral replication, and the high conservation of enzyme active site components in all known HRV serotypes, potent and selective HRV 3C pro inhibitors could be potential broad-spectrum anti-rhinoviral therapeutic agents. [9] [10] [11] As part of an effort to develop HRV 3C pro inhibitors, peptidomimetic approaches have been widely employed based on active site structure and cleavage specificity. To date, one peptidomimetic analog, rupintrivir (AG7088) (1), shown in Figure 1 , is the only HRV 3C Pro inhibitor that has advanced to the stage of human clinical trials. Phase II clinical trials of rupintrivir showed that intranasal delivery reduced the mean total daily symptom score by 33%. 12 Recently, several efforts to develop orally bioavailable anti-rhinoviral agents have been reported; these include a rupintrivir analog, 2, 13 with an improved pharmacokinetic profile, and the non-peptidic inhibitors 3 and 4. 14-16 The crystal structure of severe acute respiratory syndrome (SARS) coronavirus 3C-like protease (3CL pro ) 17 revealed a high similarity of active site architecture to that of HRV 3C pro , suggesting that picornavirus 3C pro and SARS 3CL pro inhibitors should cross-react. In fact, SARS 3CL pro inhibitors were developed by modifying rupintrivir 18 and common inhibitors with IC 50 values in the micromolar range were recently identified for both picornavirus 3C pro and coronavirus 3CL pro using high-throughput screening. 19,20 The pyridinyl thiophene ester 5 was discovered by screening a small molecule library (50,000 molecules) and has significant inhibitory activity against both HAV 3C pro and SARS 3CL pro (IC 50 = 0.5 lM). 19, 21 Further work on a series of heteroaromatic esters resulted in the discovery of the most potent ester 6, inhibiting SARS 3CL pro with an IC 50 of 30 nM and an antiviral activity (EC 50 value) of 6.9 lM. 22 Another analog, 7, also showed potent inhibition of HAV 3C pro with an IC 50 of 53 nM. 23 Studies on the inhibitory and molecular docking mechanisms of heteroaromatic esters have shown that the 5-halopyridine moiety is crucial in binding to the S1 pocket, because both 3C pro and 3CL pro show high specificity for Gln as the P1 residue. 23 0960-894X/$ -see front matter Ó 
 Title: Structure-activity relationships of heteroaromatic esters as human rhinovirus 3C protease inhibitors
[A]: True


[Q]: Paragraph: In the current world of Internet people express themselves, present their views and feelings about specific topics or entities using various social media application. These posts from users present a huge opportunity for the organizations to increase their market value by analyzing the posts and using information in decision making. These posts can be studied using various machine learning and lexicon-based approaches for extracting its sentiments. With more and more people moving to internet, huge data is being produced every second and challenge is to store this large data and process it efficiently in real time to infer knowledge from this data. This paper presents different approaches for real-time and scalable ways of performing sentiment analysis using Hadoop in a time efficient manner. Hadoop and its component tools like MapReduce, Mahout, and Hive are being surveyed in different scholar articles for this paper. 
 Title: Study of Sentiment Analysis Using Hadoop
[A]:
False