Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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ReserarchID
WZE87
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Nutritive values in raw, autoclaved, boiled, fermented, soaked, and toasted castor oil seeds (Ricinus communis L.), Zibo Castor No. 3 variety, collected from Ado-Ekiti metropolis, Nigeria were evaluated. The treatments consisted of six processing methods and three levels. Samples exhibited significant differences (p˂0.05) compared to the control sample and among one another in terms of all the parameters examined. There was a reduction in crude protein (CP), moisture, lipids, and ash contents with an increase in all the treatment methods adopted. However, moisture and ash increased, irregularly along the periods of autoclave treatment. There was an increase in Crude fiber (CF) and nitrogen-free extract (NFE) with the increase in autoclaving, boiling, fermenting, soaking, and toasting. Cases of irregular decrease and increase of values were, however observed along with the trend of periods of each treatment. Owing to its quality of parameters examined, particularly protein, CF, ash, and NFE, castor seed sample boiled for 40 minutes (BCSC 40 ) was considered the best level among others. It was therefore recommended for fish feed formulation.
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