Ninety five samples were collected from different samples (urine, ear and wounds swaps), from hospitals in Baghdad city. The results of cultural, microscopic , biochemical tests indicated that in urine samples E.coli have high occurrence frequency 19 (47.5%) followed by Proteus mirabilis 18(45%) and Klebsiella species 1 (2.5%), while in wounds samples each of Pseudomonas spp. and Proteus mirabilis 10 (25%) , then followed by E.coli with 5 (12.5%) and Klebsiella species 3 (7.5%). Ear swaps samples revealed that Pseudomonas aeruginosa 7 (46%) was the major bacterium followed by Proteus mirabilis 4(26.6).Sensitivity test against eleven antimicrobial agents was done for all of the Proteus mirabilis isolates (32 isolates). The results displayed that most of the isolates were resistant to Methicillin (96.8%), and Rifampin (93.7%) followed by trimethoprim–sulfamethoxazole (71.8%), chloramphenicol (62.5%), and cefazoline (59.3%). while the most effective antimicrobial agents against P. mirabilis were Imipenem (96.9%), Azetronam (81.3%), Azithromycin (71.9%) ,Ciprofloxacin (69%).Whereas a moderate effect appeared against both gentamycin and tobramycin in a percentage of (53.2 and 62.5) % respectively. More resistant isolate was selected, and lipopolysaccharide was extracted by hot EDTA method and the yield was (051) mg LPS from (22)g dry weight cell of pathogenic P.mirabilis and (95) mg as LPS from (16) g dry weight cell of standard bacteria were obtained. After partial purification ,chemical analysis of crud and partial purified LPS showed that the carbohydrate percentages were (35 , 44.3) % and (49 , 62)%, while the protein percentage (0.98 ,0.1) % and ( 1.3 ,0.1)% for the standard and isolated bacteria respectively ,whereas both extract appeared free from nucleic acid . Molecular weight of LPS was estimated and it was equivalent to (63095 and 70794) Dalton for the standard bacteria and pathogenic one respectively.
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A field experiment was conducted during the autumn of 2021 at the Agricultural Research Department station / Abu Ghraib to evaluate the soil moisture, water potential distribution, and growth factors of maize crops under alternating and constant partial drip irrigation methods. In the experiment, two irrigation systems were used, surface drip irrigation (DI) and subsurface irrigation (SD); under each irrigation system, five irrigation methods were: conventional irrigation (CI), and 75 and 50% of the amount of water of CI of each of the alternating partial irrigation APRI75 and APRI50 and the constant partial irrigation FPRI75 and FPRI50 respectively. The results showed that the water depth for conventional irrigation (C1) was 658.3
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Abstract: Iatrogenic furcal root perforations are serious complications during dental treatment. This study was aimed to compare the sealing ability of new bioceramic root repair material TotalFill® with the other perforation repair materials (GIC, MTA and Biodentine) using a dye- extraction method.Materials and Methods: Forty extracted, human mandibular molars with non-fused well developed root were collected. Artificial perforations were made from the external surface of the teeth. Then the teeth were randomly divided into 4 experimental groups (n= 10) according to the type of repair material used in this study; Medifil glass ionomercement, TotalFill® bioceramic root repair material, BiodentineTM and MTA Plus. The specimens were then im
... Show MoreSepsis is a major cause of death worldwide among hospitalized patients, however, an accurate and advanced identification method is associated with improved sepsis patient survival. This Retrospective study carried out in Sulaimani pediatric teaching hospital from January 2014 to July 2015 and aimed to compare the effectiveness of VITEK 2 system with traditional manual procedures for identification of pathogenic bacteria in patients with a serious disease like sepsis. The positive blood cultures were divided into two groups; 138 positive cultures identified by conventional manual methods and 104 positive cultures identified by automated VITEK 2 system. The results showed that VITEK 2 system identified 16 genera and 30 species whereas only
... Show MoreThe Fuzzy Logic method was implemented to detect and recognize English numbers in this paper. The extracted features within this method make the detection easy and accurate. These features depend on the crossing point of two vertical lines with one horizontal line to be used from the Fuzzy logic method, as shown by the Matlab code in this study. The font types are Times New Roman, Arial, Calabria, Arabic, and Andalus with different font sizes of 10, 16, 22, 28, 36, 42, 50 and 72. These numbers are isolated automatically with the designed algorithm, for which the code is also presented. The number’s image is tested with the Fuzzy algorithm depending on six-block properties only. Groups of regions (High, Medium, and Lo
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The problem of the study and its significance:
Due to the increasing pressures of life continually, and constant quest behind materialism necessary and frustrations that confront us daily in general, the greater the emergence of a number of cases of disease organic roots psychological causing them because of severity of a lack of response to conventional treatments (drugs), and this is creating in patients a number of emotional disorders resulting from concern the risk of disease
That is interested psychologists and doctors searchin
... Show MoreIn the current study, we investigate the effect of (La) substitution instead of (Cu) on the properties of the superconductor compound (Bi2Sr2Ca2Cu3-xLaxO10+δ) with (x=0,0.05,0.1,0.15,0.2). The samples were prepared by solid state reaction method(SSR). Xray diffraction technique (XRD) was used to estimate the structural properties of the specimens which show an orthorhombic crystalline structure for all the specimens. The results show that the change in ( La) concentration leads to decrease the concentration of (Bi-2223), increment in (Bi-2212 ) and(Bi-2201) with appearance of some impurities. Also decrease the critical temperature(Tc) with the increase
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Recognizing cars is a highly difficult task due to the wide variety in the appearance of cars from the same car manufacturer. Therefore, the car logo is the most prominent indicator of the car manufacturer. The captured logo image suffers from several problems, such as a complex background, differences in size and shape, the appearance of noise, and lighting circumstances. To solve these problems, this paper presents an effective technique for extracting and recognizing a logo that identifies a car. Our proposed method includes four stages: First, we apply the k-medoids clustering method to extract the logo and remove the background and noise. Secondly, the logo image is converted to grayscale and also converted to a binary imag
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