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Issue title: Recent Advances in Language & Knowledge Engineering
Guest editors: David Pinto, Beatriz Beltrán and Vivek Singh
Article type: Research Article
Authors: Loranca, Maria Beatriz Bernábea; * | Rosales, José Espinosab | Orea, Mirna Huertac | Cardiff, Johnd
Affiliations: [a] Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla BUAP, México | [b] dirección de Divulgación Científica, BUAP, México | [c] Facultad de Medicina BUAP, México | [d] Technological University of Dublin, Tallaght Campus, Ireland
Correspondence: [*] Corresponding author. Maria Beatriz Bernábe Loranca, Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla BUAP, México. E-mail: [email protected].
Abstract: The objective of this paper is to compare and evaluate statistically the behavior of two vaccines against cysticercus in a sample of female rabbits. The two vaccines under discussion are 1) S3Pvac-Papaya12 mg and 2) Wild Type (WT) or S3P Wild and also 3) Saline Solution. The challenge is to show that the developed vaccine, S3Pvac-Papaya, produces more antibodies and with better stability than the other vaccine and saline solution. With the aim of proving this conjecture, an analysis of variance (ANOVA) and multiple Fisher comparisons at 95% confidence were performed. The vaccine of interest, S3Pvac-Papaya, revealed in the box diagram at T2 that the development of antibodies was high and showed little dispersion, which implies that the vaccine S3Pvac Papaya is statistically efficient in the production of antibodies. Finally, the mathematical contribution centers on highlighting the low use of inferential statistical techniques, comparing means of generated antibodies by a set of vaccines in order to determine which one is more efficient and reliable. Tacitly, a methodology both statistical and procedural has been proposed along this work, to apply when contrasting other kinds of vaccines in both animals and humans for diverse conditions.
Keywords: Cysticercosis Pisiformis, S3Pvac-Papaya vaccine, cellular and humoral immune response, statistical analysis
DOI: 10.3233/JIFS-219227
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 5, pp. 4369-4378, 2022
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