Modeling with Hyperbolic Restrictions: The Nigerian Population Dynamics by Oyamakin SO in Cohesive Journal of Microbiology & Infectious Disease

https://crimsonpublishers.com/cjmi/fulltext/CJMI.000552.php

Intercensal estimate is an estimate of population between official census dates with both census counts being known. This was observed for three cases using three growth models to determine the effectiveness of models in predicting correctly the census figure. Case 1 was the use of the 1963 population census result as the base year and 1991 population census result as the launch year. Case 2 was the use of the 1991 population census result as the base year and 2006 population census result as the launch year and case 3 was the use of the 1963 population census result as the base year and 2006 population census result as the launch year. The Nigeria population census figure for the year 1963, 1991 and 2006 were used for intercensal prediction while nonlinear estimation was applied on the data sourced online from 1955-2016 for model validation. A modified Hyperbolic Exponential Growth Model (HEGM) was used along with Exponential Growth Model (EGM) in predicting population figures and Mean Square Error (MSE), Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC) were used to assess the suitability of the model on population prediction. Different values of shape parameter in the hyperbolic model were assumed to be small, moderate and high with ±0.1, ±0.5 and ±0.9 for Case 1, 2, and 3. HEGM gave the best intercensal estimate for the three cases and was preferred based on the AIC, BIC and MSE results with theta stabilized at ±0.1.

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Monday, March 8, 2021

The Relevance of Stability for Outdoor Crops_Crimson Publishers

The Relevance of Stability for Outdoor Crops by Leonardo Brantes Bacellar Mendes in Cohesive Journal of Microbiology & Infectious Disease

https://crimsonpublishers.com/cjmi/fulltext/CJMI.000551.php

Cultures of microorganisms in the laboratory are very important for obtaining experimental results able to provide theories and new scientific models that can generate profound impacts on the human population health and well-being. The development of vaccines and antibiotics very clearly explain the positive consequences of the experimental approach born in the laboratories and later developed as industrial scale up processes – penicillin is still the most used antibiotic on the planet since its discovery by Alexander Fleming in 1928.

Many advances in micro-algal biotechnology are also obtained due to the experimental efforts developed in the laboratory scale where the controlled conditions of the biotic and abiotic parameters can be provided and kept without variability always present in outdoor microalgae production systems designed and used today. When the target of the laboratory strains is a commercial production the scale-up may exceed the factor of 100.000 making the biotic and abiotic invariability hard to achieve affecting crop stability directly.

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