Thermo Thermo Thermo Thermo-physical properties of bread made from wheat, cassava and soybean blends were investigated. During physical properties of bread made from wheat, cassava and soybean blends were investigated. During physical properties of bread made from wheat, cassava and soybean blends were investigated. During physical properties of bread made from wheat, cassava and soybean blends were investigated. During investigation, t investigation, t investigation, t investigation, th h h he e e e organoleptic acceptance organoleptic acceptance organoleptic acceptance organoleptic acceptance blend ratios were exposed to equal heating rate during baking at set temp blend ratios were exposed to equal heating rate during baking at set temp blend ratios were exposed to equal heating rate during baking at set temp blend ratios were exposed to equal heating rate during baking at set temp substituted by composite cassava and soy at levels substituted by composite cassava and soy at levels substituted by composite cassava and soy at levels substituted by composite cassava and soy at levels organoletically organoletically organoletically organoletically tested using a nine point hedonic scale. tested using a nine point hedonic scale. tested using a nine point hedonic scale. tested using a nine point hedonic scale. version 16 was used to run analysis of variance (ANOVA) to conduct sensory evaluat version 16 was used to run analysis of variance (ANOVA) to conduct sensory evaluat version 16 was used to run analysis of variance (ANOVA) to conduct sensory evaluat version 16 was used to run analysis of variance (ANOVA) to conduct sensory evaluat in the level of cassava and soy flours substitute resulted in in the level of cassava and soy flours substitute resulted in in the level of cassava and soy flours substitute resulted in in the level of cassava and soy flours substitute resulted in compared with literature data. compared with literature data. compared with literature data. compared with literature data. Accepta Accepta Accepta Accepta result result result results s s s as follows as follows as follows as follows: : : : A=7.
This paper examined the modeling of accident cases in four major roads leading to the main city of Enugu State of Nigeria using SARIMA Models. Among the most robust approaches for analysing time series data is the Autoregressive Integrated Moving Average (ARIMA) model propounded by Box and Jenkins (1979). In this paper, we employed the Box-Jenkins methodology to build SARIMA model for the accident cases for the period, January 2007 to December 2015 with a total of 108 data points. The model obtained in this paper was used to forecast monthly cases of accident in each of the roads for the upcoming year 2016. The forecasted results will help Government and Federal road safety commission to see how to maintain orderliness on the roads to reduce the case of road traffic crashes along the roads
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.