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".

[EX Q]: Paragraph: Immunization of pigs with a modified live porcine reproductive and respiratory syndrome virus (PRRSV) vaccine initially elicits a weak interferon (IFN)-g response. To improve the immune response, an adjuvant consisting of plasmid encoding either porcine interleukin (IL)-12 or IFN-a was co-administered during vaccination. In the presence of either adjuvant, at least a threefold increase in the primary virus-specific IFN-g response was observed. While this enhancement was only transient (1 week) when the IL-12 expressing plasmid was used, the effect was not only still apparent at 6 weeks after vaccination in the presence of the IFN-a expressing plasmid but even after challenge with a virulent genetically divergent PRRSV. In contrast, no effect of either adjuvant on the production of anti-virus antibodies was noticed throughout the study. Despite the apparent augmentation of a T helper (Th) 1 type response by the inclusion of IFN-a or IL-12 during vaccination, this modulation did not necessarily correlate with a reduction in viremia. Since a similar increase in the degree of the IFN-g response to the PRRSV vaccine could be achieved by substituting polyinosinic-polycytidylic acid in lieu of either cytokine, exposure to PRRSV in the presence of a variety of Th 1 polarizing molecules can positively influence the development of the cell-mediated immune response of swine to this pathogen. Conceivably, such intervention could be applied to improve the formulation of anti-PRRSV vaccines. # 
 Title: Cytokines and synthetic double-stranded RNA augment the T helper 1 immune response of swine to porcine reproductive and respiratory syndrome virus
[EX A]: True

[EX Q]: Paragraph: Chitin is a linear polysaccharide of N-acetylglucosamine, which is highly abundant in nature and mainly produced by marine crustaceans. Chitosan is obtained by hydrolytic deacetylation. Both polysaccharides are renewable resources, simply and cost-effectively extracted from waste material of fish industry, mainly crab and shrimp shells. Research over the past five decades has revealed that chitosan, in particular, possesses unique and useful characteristics such as chemical versatility, polyelectrolyte properties, gel-and film-forming ability, high adsorption capacity, antimicrobial and antioxidative properties, low toxicity, and biocompatibility and biodegradability features. A plethora of chemical chitosan derivatives have been synthesized yielding improved materials with suggested or effective applications in water treatment, biosensor engineering, agriculture, food processing and storage, textile additives, cosmetics fabrication, and in veterinary and human medicine. The number of studies in this research field has exploded particularly during the last two decades. Here, we review recent advances in utilizing chitosan and chitosan derivatives in different technical, agricultural, and biomedical fields. A large number of chitosan-based composites were investigated for removal of metal ions from aqueous solutions. They include chitosan-polymer macromolecular complexes (as cellulose, cellulosic matrix like cotton fibers, alginate, polyvinyl alcohol, polyvinyl chloride), chitosan ceramics, as well as clay and silicate composites (bentonite, montmorillonite, perlite, and zeolite) (Wan Ngah et al. 2011) . Due to the vast number of scientific publications on chitosan-based adsorption that have been published, only a representative sample is depicted for Cr(VI) and Cu(II). Cognate composites were devised as adsorbents of other metal ions (Cd, As, Fe, Pb, Co, Pb, Hg, Ni, Zn, U) that can be found in the detailed reviews of Reddy and Lee ( 
 Title: Chitin/Chitosan: Versatile Ecological, Industrial, and Biomedical Applications
[EX A]: False

[EX Q]: Paragraph: Meaningfully synthesizing single case experimental data from intervention studies comprised of individuals with low incidence conditions and generating effect size estimates remains challenging. Seven effect size metrics were compared for single case design (SCD) data focused on teaching speech generating device use to individuals with intellectual and developmental disabilities (IDD) with moderate to profound levels of impairment. The effect size metrics included percent of data points exceeding the median (PEM), percent of nonoverlapping data (PND), improvement rate difference (IRD), percent of all nonoverlapping data (PAND), Phi, nonoverlap of all pairs (NAP), and Tau novlap . Results showed that among the seven effect size metrics, PAND, Phi, IRD, and PND were more effective in quantifying intervention effects for the data sample (N = 285 phase or condition contrasts). Results are discussed with respect to issues concerning extracting and calculating effect sizes, visual analysis, and SCD intervention research in IDD. effect size metric; speech generating devices; single case design; intellectual and developmental disabilities; evidence-based practices Evidence-based practice (EBP) has become a standard for an increasing number of educational and human services disciplines (American Speech-Language-Hearing domains of applied research, meta-analyses can be more challenging to implement because of the lack of agreed upon effect size metrics (Lipsey & Wilson, 2001; Shadish, Hedges, & Pustejovsky, 2014) . One area where this is particularly evident involves intervention research with low-incidence populations including individuals with intellectual and developmental disabilities (IDD) with moderate to profound levels of impairment. In the specific area of speech generating device (SGD) interventions for individuals with IDD with moderate to profound levels of impairment, for example, the population is extremely heterogeneous. This has resulted in a preponderance of single case design (SCD) studies for which there is not a standard effect size metric. In this article, we used the results from SCD SGD intervention studies as a vehicle to further evaluate different non-parametric effect size metrics from SCD studies. Our rationale was, in part, pragmatic. That is, the literature specific to SGD and severe disabilities is a manageable literature. Additionally, SGDs represent an area of a relatively rapid growth with tablet-based systems emerging and proliferating (Kuster, 2012; McNaughton & Light, 2013) . In the following sections we provide a brief overview of the literature addressing SGD and SCD. Subsequently, we provide a rationale for the SCD effect size comparisons that were conducted. 
 Title: Comparing Single Case Design Overlap-Based Effect Size Metrics From Studies Examining Speech Generating Device Interventions HHS Public Access The Need for Effect Size Clarity for Applied Intervention Research With Low-Incidence Populations Using SGDs
[EX A]:
False