Background: Urinary tract infections (UTIs) and their complications such as Bladder cancer (Bl. C.) are a health growing problem worldwide. Objective: To shed light on this subject, present study was done to investigate relationship between recurrent urinary tract infection (RUTI) due to Escherichia coli (E. coli) and Bl. C.Type of study: Cross-sectional study. Methods: This study included 130 patients with RUTI, 50 patients with Bl. C. and 50 control of both sexes (aged 7-85 years) attending Al-Zahra Teaching Hospital in Al-Kut/Wassit governorate and Al-Harery Teaching Hospital of specialized surgeries/Baghdad. The patients were divided into two groups: the first group (n=130) included those who were suffering from recurrent UTI without bladder cancer and diagnosed clinically as having recurrent UTI. The second group(n=50) included those who had bladder cancer. One hundred and thirty morning midstream urine specimens were collected from recurrent urinary tract infection patients and 50 from healthy persons as a control and also 50 biopsy specimens collected from recurrent UTI with bladder cancer(after surgical operation to these patients) during beginning of October 2012 to end of March 2013. Results: Intracellular bacterial communities (ICBC) (namely Escherichia coli) was isolated from (68/130) 53% from patients with RUTI while (12/50) 24% isolated from patients with Bladder cancer In this study, other molecular technique called Repetitive extragenic palindromic (REP) were used for drawing the genetic map of bacteria to know the points of similarity and differences between isolated bacteria. A difference between bacteria in each group were found, but when comparing the genetic map of UPEC isolated from patients with Bl. C. with those isolated from patients with recurrent UTI high difference between them were seen. Conclusion: Detecting the intracellular bacterial communities (namely E. coli) in patients with recurrent UTI, with or without bladder cancer. Detecting similarity and difference in genetic map of UPEC isolated from RUTI and Bl. C. by Repetitive extragenic palindromic DNA (REP) technique, in which found high similarity between UPEC isolated from each group but difference from UPEC isolated from other group
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The normalized difference vegetation index (NDVI) is an effective graphical indicator that can be used to analyze remote sensing measurements using a space platform, in order to investigate the trend of the live green vegetation in the observed target. In this research, the change detection of vegetation in Babylon city was done by tracing the NDVI factor for temporal Landsat satellite images. These images were used and utilized in two different terms: in March 19th in 2015 and March 5th in 2020. The Arc-GIS program ver. 10.7 was adopted to analyze the collected data. The final results indicate a spatial variation in the (NDVI), where it increases from (1666.91 𝑘𝑚2) in 2015 to (1697.01 𝑘𝑚2)) in 2020 between the t
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices
... Show MoreBackground: Periodontitis is an inflammatory disease that affects the supporting tissues of the teeth; Smoking is an important risk factor for periodontitis induces alveolar bone loss and cause an imbalance between bone resorption and bone deposition. The purpose of this study is to detect and compare the presence of incipient periodontitis among young smokers and non-smokers by measuring the distance between cement-enamel junction and alveolar crest (CEJ-Ac) using Cone Beam Computed Tomography (CBCT). Material and methods: The total sample composed of fifty two participants, thirty one smokers and twenty one non-smokers (age range 14-22 years). Periodontal parameters: plaque index (PLI), gingival index (GI) were recorded for all teeth exc
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