Flavonoids were extracted from Zizyphus spina-christi leaves by Ethyl acetate after acid digested and used as antioxidant. The dried extract was added separately to each sample of fat extracted from hallow cow and sheep bones as follows: T1 cow fat, T2 control for cow fat, T3 sheep fat and T4 control for sheep fat (the control T2 and T4 reffered to samples without added antioxidant).
Samples were stored at -18, 5, 25 and 55 °C for 28 days. The storage trials were conducted at -18, 5 and 25 °C for 28 days for T1, T2, T3 and T4. The chemical indices examined initially and at the end of storage period. PVs was 1.46, 1.46, 1.8 and 1.8 meq/ Kg oil respectively, FFA values were 0.245, 0.245, 0.244 and 0.244% respectively and TBA values were 0.015, 0.015, 0.023 and 0.023 mg malonaldehyde/ Kg oil respectively. The statistical analysis for the obtained results revealed insignificant differences (p< 0.05) among both storage periods and storage temperatures. It was also found that the added antioxidants (Zizyphus leaf) hadn't showed preservative effect on added fat samples.
The storage trial for fat samples were also conducted at 55°C for 28 days. The initial values for PVs were 1.46, 1.46, 1.8 and 1.8 meq/ kg oil respectively and the final values were 3.2, 4.4, 3.6 and 5.4 meq/ kg oil respectively. The FFAs values were initially 0.245, 0.245, 0.244 and 0.244% respectively and the final values were 0.394, 0.507, 0.451 and 0.564% respectively. The TBA values were initially 0.015, 0.015. 0.023 and 0.023 mg malonaldehyde/ kg oil respectively and the final values were 0.02, 0.032, o.o334 and o.o452 mg malonaldehyde/ kg oil respectively. The statistical analysis revealed insignificant differences p< 0.05 among storage periods for both PV and FFA values (except T1 that didn't show significant effect p< 0.05 for FFA) and TBA values. The added antioxidants (Zizyphus leaf) hadn't revealed significant effect on stored oil samples as reflected by obtained results.
Deep learning (DL) plays a significant role in several tasks, especially classification and prediction. Classification tasks can be efficiently achieved via convolutional neural networks (CNN) with a huge dataset, while recurrent neural networks (RNN) can perform prediction tasks due to their ability to remember time series data. In this paper, three models have been proposed to certify the evaluation track for classification and prediction tasks associated with four datasets (two for each task). These models are CNN and RNN, which include two models (Long Short Term Memory (LSTM)) and GRU (Gated Recurrent Unit). Each model is employed to work consequently over the two mentioned tasks to draw a road map of deep learning mod
... Show MoreThe high cost of chemical analysis of water has necessitated various researches into finding alternative method of determining portable water quality. This paper is aimed at modelling the turbidity value as a water quality parameter. Mathematical models for turbidity removal were developed based on the relationships between water turbidity and other water criteria. Results showed that the turbidity of water is the cumulative effect of the individual parameters/factors affecting the system. A model equation for the evaluation and prediction of a clarifier’s performance was developed:
Model: T = T0(-1.36729 + 0.037101∙10λpH + 0.048928t + 0.00741387∙alk)
The developed model will aid the predictiv
... Show MoreThe management of the exchange rate of the most important tools of economic policy because of its wide area in achieving stability and economic growth through the provision of stability in the exchange rate of the currency of the country concerned , as well as the impact and influence of money supply and then treat the economic crisis monetary and reduce the risk of currency exchange rate .For the management of the exchange rate in Iraq has passed through several stages , from installation to link to a basket of currencies to float freely , and we are dealing with in this research regard to the achievements of monetary policy , especially after the enjoyment of independence on according to the Iraqi Central Bank Law No. 56 of 2004 and Ma
... Show MoreStandards play a vital role in documenting the values of new test results in the form of tables. They are one of the basic requirements that the standardization process aims for as a complement to standardizing test procedures, and contribute to knowing the current reality of the student. The degree of readiness and level as a result of practicing different exercises for sports activities, in addition to the possibility of adopting it for comparison with his group or similar groups, classification, prediction and selection. Developing the skill of handling the football in the educational field is an important matter for achieving distinguished performance among students. This skill requires a level of accuracy, speed and control, and
... Show MoreToday, the role of cloud computing in our day-to-day lives is very prominent. The cloud computing paradigm makes it possible to provide demand-based resources. Cloud computing has changed the way that organizations manage resources due to their robustness, low cost, and pervasive nature. Data security is usually realized using different methods such as encryption. However, the privacy of data is another important challenge that should be considered when transporting, storing, and analyzing data in the public cloud. In this paper, a new method is proposed to track malicious users who use their private key to decrypt data in a system, share it with others and cause system information leakage. Security policies are also considered to be int
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أما بعد ...
فالقرآن الكريم هو ذروة الفصاحة والإعجاز والسلامة اللغوية يمثل بقراءاتهِ القرآنية المتعددة: المتواترة والشاذة والآحاد أصلا أصيلا للنحو العربي يحتج به في إقامة
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