Journal of university of Anbar for Pure science

Sixty four clinical isolates were collected from children with Necrotizing Enterocolitis admitted to the Children's Protection Hospital at the Medical City in Baghdad. These isolates included (41) stool samples, (14) blood samples and (9) urine samples for the period from 29/1/2018 to 4/4/2018. All the samples were cultured on MacConkey agar and Blood agar for diagnosis. All isolates were identified depending on macroscopic, microscopic, and biochemical tests, with Vitek-2 compact system. Forty three isolates were obtained from all samples; (26) isolates as Klebsiella pneumoniae (60.46%), 8 isolates as Escherichia coli (18.60 %), 4 isolates as Pseudomonas aeruginosa (9.30%), 2 isolates as Klebsiella oxytoca (4.65%), 2 isolates as Enterobacter cloacae (4.65%) and 1 isolate as Proteus hauseri (2.32%).The results showed that K. pneumoniae was the predominant in the samples taken from infants infected with Necrotizing Enterocolitis .

This experiment was conducted in Biology Department, Science College, University of Al- Anbar in 2018 season, to test the inhibition activity of gibberillic acid and antibiotic, pencillin against tomato mosaic virus.Two compounds were used to investigate resistance induction in tomato plants against the tomato mosaic virus (ToMV). In this study 50 ppm and 100 ppm of gibberillic acid and pencillin respectively were used to identify the activity in the inhibition of virus replicating or inducing the resistance in tomato plants against this virus. The results showed that the concentration 100 ppm of gibberillic acid is the best in the inhibition ratio ( in the experiment of mixture tomato mosaic virus inoculum and gibberillic acid or pencillin). It gave inhibition ratio 67.44 % (lesions number, 0.8133 lesion.cm-2), while the concentration 50 ppm gave inhibition ratio 54.92 % ( lesions number 1.126 lesion.cm-2), Moreover, the concentration 100 ppm of pencillin gave inhibition ratio 79 % ( lesions number, 0.580 lesion.cm-2) in comparison with the concentration 50 ppm which gave 74 % ( lesions number 0.712 lesion.cm-2).
The results also showed, when treating tomato plants with the concentration 100 ppm of gibberillic acid by spray on plant, gave inhibition ratio 56.44 % compared with the concentration 50 ppm which give inhibition ratio 33.85 %. Also, the pencillin treatment gave better activity in the concentration 100 ppm which give inhibition ratio 70.494 % , while the concentration 50 ppm gave inhibition ratio 20.038 %.
Based on the results of the experiment of immersion tomato roots with gibberellic acid at the concentration 100 ppm was the best, giving inhibition ratio 52.03 % while the 50 ppm of gibberellic acid gave inhibition ratio 26.89 %. Furthermore, when treating the tomato plant with pencillin the resistance against virus was higher at the concentration 100 ppm than at the concentration 50 ppm, which resulted in the inhibition ratios 63.60 % , 41.59 % respectively.
The experiment of immersion Datura roots with gibberellic acid and pencillin showed no differences between the concentration 50 ppm of gibberellic acid and control. However, the 100 ppm of gibberellic acid gave inhibition ratio 53.76 %. This experiment did not identify any differences between the antibiotic pencillin concentrations, where the concentration 100 ppm of pencillin gave the highest resistance in plant against the virus with the lowest local lesions on Datura plant (inhibition ratio, 66.267% ) compared with the concentration 50 ppm which gave inhibition ratio, 21.881% and control.

Direct, rapid, simple, precise and an accurate spectrophotometric method for the estimation of bismuth (III) ion was proposed. The reaction of bismuth (III) ion with pyrocatecol violet in aqueous solution in the presence of cetyl trimethyl ammonium bromide) CTAB)to form at pH 3.4 a colored complex which was showing maximum absorption at 648 nm. The linearity of the proposed method was obeyed Beer's law over the concentration range of 5-200 µg /25 ml i.e (0.2-8.0) ppm. The molar absorptivity factor found to be 1.72×104 l/mol.cm and, Sandall's sensitivity index was 0.01215 µg/cm. The proposed method was successfully applied for the determination of bismuth (III) in water and pharmaceutical preperation (Tablet).

Zingiber officinale and Hibiscus sabdariffa are common medical plants used in traditional medicine. The mineral elements (Se, Zn, Cu, Fe, Ca,K, Mg and Na) have played a major part in the health and battling sicknesses in the human body. The aim of this study is to estimate the mineral composing, Zingier officinal, Zingier officinal and Hibiscus sabdariffa which would be an important promotion vantage in human health, despite the fact that the characterization of the components is somewhat difficult. The analysis of mineral composition of these plants is carried out by using inductively Coupled Plasma- Mass spectrometry. The finding of this study shows that the level of the elements in, Zingier officinal are 345.7, 7012.7, 2444.7, 685, 8283, 67722, 12260 and 2520 μg\kg for Se, Z, Cu, Fe, Ca, K, Mg and Na, respectively. The level of Se, Zn, Cu, Fe, Ca, K, Mg and Nain Hibisus sabdariffa are 55.7, 3052, 2288, 120, 112071, 88690, 27822 and 2229 μg\kg, respectively. Moreover, the results of this study suggest that Ginger and Roselle could be utilized as enhancement nourishment or diet improvement particularly in the lower protein diets.

The Lower-Middle Miocene succession in kirkuk area include the Serikagni, Euphrates, Dhiben, Jeribe and Fatha formations in addition to Govanda and Ghar formation. The Euphrates, Dhiban, and Jeribe formations for study in Ja-26 and Hr-41 wells at Kirkuk area have similar facies and difficult recognized in order to Dhiban Formation separated with them. Therefore Euphrates ,Dhiban, and Jeribe formations are favored one group where to be similar in paleoenvironment depositonal and facies analyses. Which most them are formed from restricted marine and shallow open marine environments that consisting of lime mud stone, wakestone and packstone which consist skeletal grains of fossils especially milolid and nonskeletal grains of pellits and peloids in addition to dolomite and dolomitic mud and wackestone. The sabkha environment is recognized to Dhiban Formation and at the Jeribe Formation there are fixed occurrence of blue marl facies which represent the deep marine environment and fossilifrous peloidal packestone-grainestone facies represent shoal environments. The Fatha Formation and Serikagni Formation are considered resigning formations where Serikagni Formation is recognized by planiktonic deep marine environment while Fatha Formation is recognized dependence on location of sequence stratigraphy that is characterized high thick of salt, gypsum, anhydrate rocks in addition thin interbeded carbonates rocks.

The main purpose of this paper is to introduce new definitions of separation, connectedness in topological spaces namely ( S^* g-separation , (S^* g-α)separation , S^* g-connected , (S^* g-α)connected ) by using the definitions S^* g-(S^* g-α)- open sets and study the relations among them . Also we study hereditary, topological property and show that S^* g-(S^* g-α)connectedness is not - hereditary property but topological property.

As can be seen all around us, social media sites such as Facebook, Twitter, YouTube and Flickr and other became more importance grow rapidly in the last few years. This growth in social media sites has led to increase of information generated and circulated between individuals, this information significance in the companies and institutions works and also for individuals, for this it is important to analyze and classify data by determining keywords and main sentences which lead companies to manage their works more better with present and possibly clients.
However, social media data may be contain various types of unwanted and maleficent spammer or hacker actions. So, there is a critical need in the social media network and society, industry for social media security. In this paper, we choose Apriori method for mining and classifying social media data and take a Facebook to be a case study for social media data then after classifying and mining data applying RSA algorithm which is most popular and easer to implement secure data and use it usefully in the company’s work.

The discovery of the similarity between two texts is very important and useful in many applications. The similarity between texts is the core research area of dataset, data warehouse, and data mining. This paper provides a framework that gives a similarity between two input texts based on pattern recognition and the use of approximate string matching; there is a weight that affects the proportion of similarity. The search compares the similarity of two texts without adherence to the grammar or the use of synonyms or meanings of words. Preliminary results showed the benefit of extracting some of the features in the discovery of the similarity between the texts.