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".

Example Input: Paragraph: Nurses are the largest group of healthcare providers and are often the first line responders to a disaster event. Nurses' disaster competence, motivation for disaster engagement, and factors that impact their motivation to respond to disaster events need to be understood. The purposes of the study were to determine the predictive relationships between Taiwanese nurses' disaster competence, anticipatory disaster stress, and motivation for disaster engagement. A cross-sectional design was used to analyze data collected between August 2017 and December 2017 from eight hospitals in southern Taiwan. Ninety participants who met the recruitment criteria completed and returned questionnaires with an 88.24% response rate. Data collection involved administering the Disaster Nursing Competence Questionnaire, Anticipatory Disaster Stress Questionnaire, and the Motivation of Disaster Engagement Questionnaire. The results indicated that anticipatory disaster stress was positively correlated with disaster competence and motivation for disaster engagement. Disaster competence and willingness to join a hospital disaster rescue predicts an individuals' motivation for disaster engagement. The results of the study add to the understanding of factors that correlate with nurses' motivation to participate in disaster events. By understanding these factors, the government and healthcare administrators can design disaster education plans and other strategies to improve Taiwanese nurses' motivation to engage in disaster events.
Title: 101545 and Technology
Example Output: True

Example 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
Example Output: False

Example Input: Paragraph: Angiotensin-converting enzyme 2 (ACE2) is highly expressed in the kidney proximal tubule, where it cleaves angiotensin (Ang) II to Ang-(1-7). Urinary ACE2 levels increase in diabetes, suggesting that ACE2 may be shed from tubular cells. The aim of this study was to determine if ACE2 is shed from proximal tubular cells, to characterize ACE2 fragments, and to study pathways for shedding. Studies involved primary cultures of mouse proximal tubular cells, with ACE2 activity measured using a synthetic substrate, and analysis of ACE2 fragments by immunoblots and mass spectrometry. The culture media from mouse proximal tubular cells demonstrated a time-dependent increase in ACE2 activity, suggesting constitutive ACE2 shedding. ACE2 was detected in media as two bands at ,90 kDa and ,70 kDa on immunoblots. By contrast, full-length ACE2 appeared at ,100 kDa in cell lysates or mouse kidney cortex. Mass spectrometry of the two deglycosylated fragments identified peptides matching mouse ACE2 at positions 18-706 and 18-577, respectively. The C-terminus of the 18-706 peptide fragment contained a non-tryptic site, suggesting that Met 706 is a candidate ACE2 cleavage site. Incubation of cells in high D-glucose (25 mM) (and to a lesser extent Ang II) for 48-72 h increased ACE2 activity in the media (p,0.001), an effect blocked by inhibition of a disintegrin and metalloproteinase (ADAM)17. High D-glucose increased ADAM17 activity in cell lysates (p,0.05). These data indicate that two glycosylated ACE2 fragments are constitutively shed from mouse proximal tubular cells. ACE2 shedding is stimulated by high D-glucose, at least partly via an ADAM17-mediated pathway. The results suggest that proximal tubular shedding of ACE2 may increase in diabetes, which could enhance degradation of Ang II in the tubular lumen, and increase levels of Ang-(1-7).
Title: Characterization of Angiotensin-Converting Enzyme 2 Ectodomain Shedding from Mouse Proximal Tubular Cells
Example Output:
False