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 .
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This systematic review aimed to investigate the relation between orthodontic treatment (OT) and the incidence of the gingival black triangle (GBT) after completing treatment with a fixed orthodontic appliance, as well as the associated risk factors and the level of alveolar bone. Electronic and hand searches were conducted in three electronic databases for relevant articles published up to March 2022. Retrieved articles went through a two-step screening procedure, and the risk of bias (RoB) was assessed by the Joanna Briggs Institute checklists. The incidence of GBT after OT was set as the primary outcome, while the secondary outcomes were the risk factors associated with GBT and alveolar bone loss following OT. Out of 421 papers, 5
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Hypothesis CO2 geological storage (CGS) involves different mechanisms which can store millions of tonnes of CO2 per year in depleted hydrocarbon reservoirs and deep saline aquifers. But their storage capacity is influenced by the presence of different carboxylic compounds in the reservoir. These molecules strongly affect the water wetness of the rock, which has a dramatic impact on storage capacities and containment security. However, precise understanding of how these carboxylic acids influence the rock’s CO2-wettability is lacking. Experiments We thus systematically analysed these relationships as a function of pressure, temperature, storage depth and organic acid concentrations. A particular focus was on identifying organic acid conce
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A partial temporary immunity SIR epidemic model involv nonlinear treatment rate is proposed and studied. The basic reproduction number is determined. The local and global stability of all equilibria of the model are analyzed. The conditions for occurrence of local bifurcation in the proposed epidemic model are established. Finally, numerical simulation is used to confirm our obtained analytical results and specify the control set of parameters that affect the dynamics of the model.
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