This study was conducted at the Poultry Research Station in Abu Ghraib, Department of Agricultural Research, Ministry of Agriculture, the experimental field during three months (Three terms for a period of four weeks), from 10 th of December 2019 to the 10 th of January 2020. The study aimed to determine the effect of using different proportions of chlorella algae in layer hen ration and its effect on the hen's productive performance and numbers of lactobacilli bacteria in the intestine. The experiment included 400 laying hens (ISA Brown) of 54 week old which were fed according to the standard requirements mentioned in the guide for this breed (ISA Brown layer management guide). The hens raised using a 3 stage cages system with five hens in each cage. The birds were randomly distributed to five feeding treatments with four replications per treatment. The single replicate consists of 20 birds (80 birds per treatment). The treatments were as First treatment (T 1) without using chlorella algae (control) 'Second treatment (T 2) using 1% chlorella algae 'Third treatment (T 3) using 1.5% chlorella algae 'Fourth treatment (T 4) using 2% chlorella algae 'Fifth treatment (T 5) use of 2.5% chlorella algae The results indicated a significant improvement (P<0.05) in the egg production rate for T 2 , T 3 , T 4 treatments during the three trial periods (54-58, 58-62 and 62-66) a week, as well as the total period of the trial compared to the control treatment, and moral superiority (P<0.05) in the egg weight ratio for the T 5 treatment during periods (58-62 and 62-66) a week and the total period of the experiment compared to the control treatment. A significant increase (P <0.05) in the average egg mass for chlorella treatments (T 5 , T 4 , T 3 , T 2) during the periods (58-62 and 62-66) a week and the total period of the experiment compared with the control treatment T 1 and the results showed a significant improvement (P <0.05) in the rate of feed conversion in favor of coefficients for chlorella algae (T 5 , T 4 , T 3 , T 2) during the periods (58-62 and 62-66) a week and the total period of the trial compared with the control treatment T 1 .
Hydrogen sulfide removal catalyst was prepared chemically by precipitation of zinc bicarbonate at a controlled pH. The physical and chemical catalyst characterization properties were investigated. The catalyst was tested for its activity in adsorption of H2S using a plant that generates the H2S from naphtha hydrodesulphurization and a unit for the adsorption of H2S. The results comparison between the prepared and commercial catalysts revealed that the chemical method can be used to prepare the catalyst with a very good activity.
It has observed that the hydrogen sulfide removal over zinc oxide catalyst follows first order reaction kinetics with activation energy of 19.26 kJ/mole and enthalpy and e
... Show MoreForeign direct investment (FDI) has been viewed as a power affecting economic growth (EG) directly and indirectly during the past few decades. This paper reviewed an amount of researches examining the relationships between FDI and EG, especially the effects of FDI on EG, from 1994 up to 2012. The results show that the main finding of the FDI-EG relation is significantly positive, but in some cases it is negative or even null. And within the relation, there exist several influencing factors such as the adequate levels of human capital, the well-developed financial markets, the complementarity between domestic and foreign investment and the open trade regimes, etc.
The undetected error probability is an important measure to assess the communication reliability provided by any error coding scheme. Two error coding schemes namely, Joint crosstalk avoidance and Triple Error Correction (JTEC) and JTEC with Simultaneous Quadruple Error Detection (JTEC-SQED), provide both crosstalk reduction and multi-bit error correction/detection features. The available undetected error probability model yields an upper bound value which does not give accurate estimation on the reliability provided. This paper presents an improved mathematical model to estimate the undetected error probability of these two joint coding schemes. According to the decoding algorithm the errors are classified into patterns and their decoding
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