Background: Transplantation has revolutionized
treatment of end- stage renal disease (ESRD) by proving
more cost effective than hemodialysis, with a lower
morbidity and improved quality of life.
Objective: To evaluate the development of these
complications in the first month postoperatively and
correlate their development to the type of donation
whether related or unrelated.
Methods: Fifty (50) patients aged (15-62) years, with a
mean age (34.46 ± 12.4 SD) years with (ESRD), who
underwent renal transplantation from September 2000 to
October 2002, were followed-up for one month
postoperatively clinically and by assessment of renal
function tests, sonographic and Doppler examinations.
Ureteral obstruction was considered in those patients who
had allograft dysfunction, ultrasonic evidence of
peritransplant collection, moderate-severe dilatation of
upper urinary tract of transplanted kidney and
postoperative ipsilateral or bilateral leg edema. Ureteral
leakage was considered in those patients who had
persistent drainage of urine with or without allograft
dysfunction. Two patients were excluded from the followup due to death in the first 24-hour postoperatively.
Results: Six (6) patients (12.5% of cases) developed
ureteral obstruction due to peri-ureteral fluid collection. In
five patients the collection decreased and upper urinary
tract dilatation improved gradually, as shown by
ultrasound, on watchful waiting. One patient had surgical
evacuation of a large hematoma. Four (4) patients (8.3%
of cases) developed ureteral leakage. The leakage stopped
in one patient after keeping the urethral catheter for a
longer period. Three patients had surgical exploration due
to persistent urinary leakage. Redo implantation of
allograft ureter was done in two cases.
Development of ureteral complications was compared
with the type of donation (related or unrelated). The
comparison was not statistically significant.
Conclusions: The development of ureteral
complications in not related to the type of donation.
Extravesical ureteral anastamosis with the use of a stent is
less likely to be associated with postoperative ureteral
complications.
This study was conducted in the poultry field of the College of Agricultural Engineering Sciences / University of Baghdad for the period from 10/15/2021 to 11/25/2021 in order to show the effect of adding different levels of Ganoderma lucidum to broiler diets on physiological traits and indicators of fat oxidation in meat. In it, 200 unsexed (Ross 308) chicks of one-day-old breed were used, with a starting weight of (40) g. The chicks were distributed and randomly divided into four treatments, with 50 birds for each treatment. One treatment included five replicates (10 birds/repeat) and the experiment treatments were T1, T2, T3, and T4. The percentages of adding reishi mushrooms were 0, 0.5, 1, and 1.5 g/kg of feed, respectively. Th
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Precise forecasting of pore pressures is crucial for efficiently planning and drilling oil and gas wells. It reduces expenses and saves time while preventing drilling complications. Since direct measurement of pore pressure in wellbores is costly and time-intensive, the ability to estimate it using empirical or machine learning models is beneficial. The present study aims to predict pore pressure using artificial neural network. The building and testing of artificial neural network are based on the data from five oil fields and several formations. The artificial neural network model is built using a measured dataset consisting of 77 data points of Pore pressure obtained from the modular formation dynamics tester. The input variables
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Intrusion detection systems (IDS) are useful tools that help security administrators in the developing task to secure the network and alert in any possible harmful event. IDS can be classified either as misuse or anomaly, depending on the detection methodology. Where Misuse IDS can recognize the known attack based on their signatures, the main disadvantage of these systems is that they cannot detect new attacks. At the same time, the anomaly IDS depends on normal behaviour, where the main advantage of this system is its ability to discover new attacks. On the other hand, the main drawback of anomaly IDS is high false alarm rate results. Therefore, a hybrid IDS is a combination of misuse and anomaly and acts as a solution to overcome the dis
... Show MoreThe aim of this work is the synthesis of new grafted PVA polymer with a derivative of Erythro-ascorbic acid (pentulosono-ɣ -lactone-2, 3-enedianisoate). All synthesized compounds were characterized by thin layer chromatography (TLC) and FTIR spectra and aldehyde was also characterized by (U.V-Vis), 1HNMR, 13CNMR and mass spectra. They were also evaluated for antimicrobial properties by dilute method against four pathogenic bacteria (Escherichia coli ,Klebsiella pneumonae, Staphylococcus aureus, Staphylococcus Albus) and two fungal (Aspergillus Niger, Yeast). All polymer metal complexes showed good activities against the various microbial isolates. The polymer metal complexes showed higher activity than the free polymer. The order of increa
... Show MoreThe present paper deals with studying the effect of electrical discharge machining (EDM) and shot blast peening parameters on work piece fatigue lives using copper and graphite electrodes. Response surface methodology (RSM) and the design of experiment (DOE) were used to plan and design the experimental work matrices for two EDM groups of experiments using kerosene dielectric alone, while the second was treated by the shot blast peening processes after EDM machining. To verify the experimental results, the analysis of variance (ANOVA) was used to predict the EDM models for high carbon high chromium AISI D2 die steel. The work piece fatigue lives in terms of safety factors after EDM models were developed by FEM using ANSY
... Show MoreA resume is the first impression between you and a potential employer. Therefore, the importance of a resume can never be underestimated. Selecting the right candidates for a job within a company can be a daunting task for recruiters when they have to review hundreds of resumes. To reduce time and effort, we can use NLTK and Natural Language Processing (NLP) techniques to extract essential data from a resume. NLTK is a free, open source, community-driven project and the leading platform for building Python programs to work with human language data. To select the best resume according to the company’s requirements, an algorithm such as KNN is used. To be selected from hundreds of resumes, your resume must be one of the best. Theref
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