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".

Input: Consider Input: 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

Output: False


Input: Consider Input: Paragraph: Identification of the full complement of genes and other functional elements in any virus is crucial to fully understand its molecular biology and guide the development of effective control strategies. RNA viruses have compact multifunctional genomes that frequently contain overlapping genes and non-coding functional elements embedded within protein-coding sequences. Overlapping features often escape detection because it can be difficult to disentangle the multiple roles of the constituent nucleotides via mutational analyses, while high-throughput experimental techniques are often unable to distinguish functional elements from incidental features. However, RNA viruses evolve very rapidly so that, even within a single species, substitutions rapidly accumulate at neutral or near-neutral sites providing great potential for comparative genomics to distinguish the signature of purifying selection. Computationally identified features can then be efficiently targeted for experimental analysis. Here we analyze alignments of protein-coding virus sequences to identify regions where there is a statistically significant reduction in the degree of variability at synonymous sites, a characteristic signature of overlapping functional elements. Having previously tested this technique by experimental verification of discoveries in selected viruses, we now analyze sequence alignments for ∼700 RNA virus species to identify hundreds of such regions, many of which have not been previously described. 
 Title: Mapping overlapping functional elements embedded within the protein-coding regions of RNA viruses

Output: False


Input: Consider Input: Paragraph: Background: Since mid-December 2019, a cluster of pneumonia-like diseases caused by a novel coronavirus, now designated COVID-19 by the WHO, emerged in Wuhan city and rapidly spread throughout China. Here we identify the clinical characteristics of COVID-19 in a cohort of patients in Shanghai. Methods: Cases were confirmed by real-time RT-PCR and were analysed for demographic, clinical, laboratory and radiological features. Of 198 patients, the median duration from disease onset to hospital admission was 4 days. The mean age of the patients was 50.1 years, and 51.0% patients were male. The most common symptom was fever. Less than half of the patients presented with respiratory systems including cough, sputum production, itchy or sore throat, shortness of breath, and chest congestion. 5.6% patients had diarrhoea. On admission, T lymphocytes were decreased in 45.8% patients. Ground glass opacity was the most common radiological finding on chest computed tomography. 9.6% were admitted to the ICU because of the development of organ dysfunction. Compared with patients not treated in ICU, patients treated in the ICU were older, had longer waiting time to admission, fever over 38.5 o C, dyspnoea, reduced T lymphocytes, elevated neutrophils and organ failure. In this single centre cohort of COVID-19 patients, the most common symptom was fever, and the most common laboratory abnormality was decreased blood T cell counts. Older age, male, fever over 38.5 o C, symptoms of dyspnoea, and underlying comorbidity, were the risk factors most associated with severity of disease. Patients. We obtained epidemiological, demographic, clinical, laboratory and management data from the medical records of patients infected with SARS-Cov-2. On Jan 20, 2020, the first human case of in Shanghai was confirmed. Since then all hospitals in Shanghai have opened special fever clinics to screen suspected patients, and laboratory confirmed patients were then admitted to a single designated hospital in Shanghai (Shanghai Public Health Clinical Centre). Laboratory confirmation of COVID-19 was done by the Chinese Centre for Disease Control and Prevention. Throat-swab specimens from the upper respiratory tract were obtained from all patients at admission and maintained in viral transport medium. COVID-19 was confirmed by real-time RT-PCR using the same protocol as described previously 3 . Confirmed patients were hospitalized into negative pressure wards for further medical observation and treatment. We collected data from patients who were admitted from Jan. 20 up to Feb. 15. All the data collected from the included cases have been shared with the WHO. Data Collection. Epidemiological exposure data, patient characteristics, clinical symptoms, laboratory and imaging findings and medical history were extracted from electronic medical records and analysed by licensed physicians. Laboratory data were recorded in standardized form. Initial investigations included a complete blood count, routine urinalysis, blood gases, coagulation function, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and serum biochemical testing (including renal and liver function, serum lactate, lactate dehydrogenase, and electrolytes). To characterize the effect of coronavirus on the immune system, immunologic factors including serum immunoglobulin, complements, cytokines, rheumatoid factor (RF) and T cell and leukocyte subpopulations were analysed by flow cytometry. Non-laboratory information, including patient characteristics, epidemiological and medical history, were obtained and recorded by licensed physicians from direct interviews of patients and their relatives. Two researchers independently reviewed the data collection forms to review the data extracted. Written informed All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity. 
 Title: Clinical Features of Patients Infected with the 2019 Novel Coronavirus (COVID-19) in Shanghai, China


Output: True