The spread of antibiotic resistant bacteria is a worldwide problem. Due to the importance of P. aeruginosa as a multidrug resistant bacterium, this study aimed, through molecular techniques, to detect point mutations in chromosomal genes responsible for the quinolones class of antibiotics resistance. A total of 52 isolates from burn infections were identified using specific primers for P. aeruginosa 16S rDNA. Ciprofloxacin minimum inhibitory concentrations (MIC) were estimated using the agar dilution assay. DNA sequences of the quinolone resistance-determining regions of gyrA and parC were determined for detecting the mutations found in these genes and the relations among the isolates by constructing phylogenetic trees. The results revealed that only 43 (82.7%) of isolates were P. aeruginosa, of which 31 (72.06%) were resistant to different concentrations of ciprofloxacin, ranging between 4 and >32 µg/ml. Twenty six isolates were selected for sequencing, including sensitive, intermediately resistant, and highly resistant to ciprofloxacin. The ciprofloxacin sensitive isolates did not exert any amino acid alterations in gyrA or parC genes; however, a single intermediately resistant isolate had a single mutation at each gene. Of the total resistant isolates (20), 6 isolates had no mutations at different MIC levels, While 14 isolates had Thr-83-Ile substitution in gyrA and Ser-87-Leu substitution in parC, only five isolates had a second mutation, namely Asp-87-Asn, in gyrA. The phylogenetic analysis of the studied groups showed divergence from the P. aeruginosa PAO1 and PAO1OR reference strains due to increased mutations and polymorphisms in studied isolates. In conclusion, P. aeruginosa occurrence was increased in burn infections and the fluoroquinolones in current use are not as effective as before; the main resistance mechanism in local clinical isolates of P. aeruginosa is mutations, where the main target of fluoroquinolones is gyrA gene.
This research deals with the financial reporting for non-current assets impairment from the viewpoint of international accounting standards, particularly IAS 36 "Impairment of non-current assets." The research problems focus on the presence of internal and external indicators on impairment of non-current assets in many of companies listed in Iraqi stock exchange. So it is required to apply IAS 36 to reporting for the impairment loss of assets since this impairment impact certain financial indicators. These indicators help users in their decision-making and forecasting future financial situation and the ability of the company to achieve future profits or maintain current profits. The research aims to shedding lig
... Show MoreThis study was done to evaluate a new technique to determine the presence of methamphetamine in the hair using nano bentonite-based adsorbent as the filler of extraction column. The state of the art of this study was based on the presence of silica in the nano bentonite that was assumed can interact with methamphetamine. The hair used was treated using methanol to extract the presence of methamphetamine, then it was continued by sonicating the hair sample. Qualitative analysis using Marquish reagent was performed to confirm the presence of methamphetamine in the isolate.The hair sample that has been taken in a different period confirmed that this current developing method can be used to analyzed methamphetamine. This m
... Show MoreThe education sector suffers from many problems, including the scarcity of schools that can absorb the increasing number of students in light of the increasing population growth rate, as some regions suffer from a lack of opening of new schools or the expansion of existing schools to increase their capacity so that attention is required. The research sought to identify the level of maturity of project management at the research site (Building Department in Al-Karkh I/ Ministry of Education) Being responsible for educational projects and their implementation and to know that, the ten areas of the knowledge guide to project management PMBOK have been adopted according to the PM3 model (one of the models of maturity
... Show MoreExperiments research is done to determine how saturated stiff clayey soil responds to a single impulsive load. Models made of saturated, stiff clay were investigated. To supply the single pulse energy, various falling weights from various heights were tested using the falling weight deflectometer (FWD). Dynamic effects can range from the major failure of a sensitive sensor or system to the apparent destruction of structures. This study examines the response of saturated stiff clay soil to a single impulsive load (vertical displacement at the soil surface below and beside the bearing plates). Such reactions consist of displacements, velocities, and accelerations caused by the impact occurring at the surface depth induced by the impact loads
... Show MoreThe accurate extracting, studying, and analyzing of drainage basin morphometric aspects is important for the accurate determination of environmental factors that formed them, such as climate, tectonic activity, region lithology, and land covering vegetation.
This work was divided into three stages; the 1st stage was delineation of the Al-Abiadh basin borders using a new approach that depends on three-dimensional modeling of the studied region and a drainage network pattern extraction using (Shuttle Radar Topographic Mission) data, the 2nd was the classification of the Al-Abiadh basin streams according to their shape and widenings, and the 3rd was ex
... Show MoreThe current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
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