This study has been performed to study the inhibitory effects of crude plant extracts of Bay (laurus nobilis) leaves against some bacterial isolates represented by Staphylococcus aureus, Staphylococcus epidermids, Proteus vulgaris, Bacillus subtilis, Escherichia coli, and Pseudomonas aeroginosa in vitro. The results showed that percentages of essential chemical of laurus nobilis leaves which represented by moisture, total oil, total ash, crude protein, crude fibers, carbohydrites and caloric values in dry weight are 5.96, 4.28, 14.2, 8.75, 24.8, 76.99%, and 284.92 kcal/100g respectively, the percentages of some major and minor mineral elements of laurus nobilis leaves powder which represented by Mg, Fe, Cu, Pb, Cd and As, are: 0.211, 0.165, 0.023, 0.011, 0.00, 0.0004 mg/g and 3.140 ppm, respectively, while Co did not appear in the laurus nobilis leaves. The aqueous extract of the plant was acidic its pH 5.79. The results of initial detection (precipitation) showed that ethyl acetate and aqueous extracts of laurus nobilis leaves contain all active compounds represented by tannins, saponins, flavonoides, glycosides, phenols, terpenoids, sterols and cumarin, while alcoholic and hexan extracts contain also the some compounds except saponins, hexane extracts no phenols. Through the study of the effect of laurus nobilis leaves extracts against growth of bacteria in vitro a significant differences at (p<0.05) was observed, It was found that the ethyl acetate and alcoholic extracts more were effective on the bacterial species than the other remaining extracts against the growth of bacteria, inhibitory activity was of all bacterial species at concentration of 3.125mg/ml and it was more effective on Staphyloccocus epidermids for ethyl acetate extract giving inhibitory zone estimated 15.5mm, while alchoholic extract was activity against bacteria E. coli at inhibition zone estimated 15mm, while hexan extracts has been showed inhibition activity of same concentration only on bacteria Staphyloccocus aureus with zone 10.5mm, as for it has been showed inhibitory activity of bacteria Proteus vulgaris at concentration 12.5mg/ml with zone 13mm, as for Staphyloccocus epidermids, Bacillus subtilis, E. coli and Pseudomonas aeroginosa were their inhibition activity at concentration 25mg/ml while Staphyloccocus aureus was highest inhibition at zone 16.5mm and 14mm of same concentration as for the hexan and aqueous extracts respectively, while the inhibition of bacteria Proteus vulgaris was zone 10mm of aqueous extract, inhibitory activity of bacteria Pseudomonas aeroginosa has been showed at concentration 50mg/ml of zone 16mm, as for the bacteria Staphyloccocus epidermids, Bacillus subtilis were the inhibitory zone at 12mm and E. coli at zone 18mm of concentration 100mg/ml. When measuring the minimum inhibitory concentration (MIC) for each bacterial species at a concentrations 6.25- 12.5mg/ml for ethyl acetate and alcoholic extracts have high inhibitory activity compared with the other concentrations, but the hexane and aqueous extracts have affected bacterial species at 12.5- 100 mg/ml, except for Staphyloccocus aureus and Bacillus subtilis, which was not affected by any of the concentrations of extracts.
Two prevalent neurodevelopment disorders in children are attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). The fifth version of the Diagnostic and Statistical Manual of Mental Disorders describes autism as a condition marked by limitations in social communication as well as restricted, repetitive behavior patterns. While impulsivity, hyperactivity, and lack of concentration are signs of attention deficit hyperactivity disorder. Boys experience it more frequently than girls do. This study sought for possible factors that put children at risk for autism and attention deficit hyperactivity disorder, and it investigated the association between neurodevelopment disorders in children and parental risk factor i
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In recent years, the steady stream of artificial intelligence into economic systems has become a torrent. It is changing how we generate wealth and grow anew. Manufacturing, finance, health care energy, agriculture and education are just a few of the areas where AI may result in dramatic increases in productivity as well as innovation and sustainability. Predictive analytics, AI, robotics and natural language processing have significantly contributed in the improvement of resource allocation mechanisms and decision making as well as reaching SDGs. The concept of Artificial Humanity is also introduced in the paper. It shows how AI could become a global cognitive network to foster knowledge. By comparison and references of the literature, thi
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The study aims to identify the level of cognitive beliefs, as well as to identify the level of self-organized learning strategies among intermediate school students. The study also aims to identify the differences in the level of self-organized learning strategies among intermediate school students in term of gender, branch (scientific, literary). In order to achieve the research objectives, the researcher designed a scale to measure the cognitive beliefs. As for the scale of self-organized learning strategies, the researcher adopted a scale of (Pintrich et al. 1991), which was translated by (Izzat Abdelhamid, 1999) , For self-organized learning strategies, the sample consisted of (400) students from the research population, whic
... Show MoreAnalysis the economic and financial phenomena and other requires to build the appropriate model, which represents the causal relations between factors. The operation building of the model depends on Imaging conditions and factors surrounding an in mathematical formula and the Researchers target to build that formula appropriately. Classical linear regression models are an important statistical tool, but used in a limited way, where is assumed that the relationship between the variables illustrations and response variables identifiable. To expand the representation of relationships between variables that represent the phenomenon under discussion we used Varying Coefficient Models
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The research talks about the most important challenges facing Muslim youth of their ideological, social and economic types, and the youth is facing several problems, the most important of which are the intellectual and social invasion to which the Islamic nation has been exposed and ways to address them from a Quranic perspective and find solutions to these problems and these challenges in accordance with Islamic Sharia and the texts of the Holy Quran. From three topics and several demands, during which the researcher tried to find solutions to each challenge through the verses of the Noble Qur’an.
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