Objective: Detection the level of YKL-40 biochemical marker and vitamin D level in sera of Iraqi uterine cancer
females' patients.
Methodology: This study included 90 female volunteers, 30 of them were healthy volunteers who were
considered as a control group, while sixty serum samples were collected from women patients suffering from
uterine tumors (30 malignant and 30 fibroid benign tumors), benign cases were considered as a disease
control group for malignant tumors. The average age of those females was 30-75 years, which matched the
control group. All the samples were collected from Azady hospital in Kirkuk and the gynecologic department at
Medical City in Baghdad during October /2012 to May /2013. All the serum samples were undergone
biochemical estimation for the levels of YKL-40, and 25 (OH) vitamin D using ELISA technique, and BMI data
were collected.
Results: Estimation of YKL-40 levels showed that there were 28 No. (93.33%) of EC patients had high level of
YKL-40, while 26 no. (86.67%) of fibroid (benign tumor) patients had low level, and 15(50.00 %) of healthy
control had low. There was a significant difference found in YKL-40 level in EC patients when compared with
the fibroid (benign tumor) patients and healthy control (Pvalue= 0.0001), (Pvalue= 0.0001) respectively. The
highest percent of women with EC and the women with fibroid (benign tumor) had deficiency of 25 (OH)
vitamin D levels (66.67%). While the highest percent of healthy control had sufficiency of 25(OH) vitamin D
level (56.67%). statistically there was significant difference among study groups (p=0.0001). Were as no
significant difference between EC patients and fibroid (benign tumor) patients (P-value =0.822).
Recommendations: Comparing between the ykl-40 marker and other tumor marker diagnostic levels in the
detection of uterine tumors. For further studies, we recommended study the diagnostic levels of ykl-40
marker and its correlation with other body tumors. It is recommended to do estimation of vitamin D levels
with more advanced method and correlation of its with disease.
As a result of rapid industrialization and population development, toxic chemicals have been introduced into water systems in recent decades. Because of its excellent efficiency and simple design, the three-dimensional (3D) electro-Fenton method has been used for the treatment of wastewater. The goal of the current study is to explore the efficiency of phenol removal by the 3D electro-Fenton process, which is one of the advanced oxidation processes (AOPs). In the present work, the effect of the addition of granular activated carbon (GAC) particles to the electro-Fenton system as the third electrode would be investigated in the presence of graphite as the anode and nickel foam as the cathode, which is the source of electro-generated hydrogen
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... Show MoreThis paper presents the implementation of a complex fractional order proportional integral derivative (CPID) and a real fractional order PID (RPID) controllers. The analysis and design of both controllers were carried out in a previous work done by the author, where the design specifications were classified into easy (case 1) and hard (case 2) design specifications. The main contribution of this paper is combining CRONE approximation and linear phase CRONE approximation to implement the CPID controller. The designed controllers-RPID and CPID-are implemented to control flowing water with low pressure circuit, which is a first order plus dead time system. Simulation results demonstrate that while the implemented RPID controller fails to stabi
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Authors in this work design efficient neural networks, which are based on the modified Levenberg - Marquardt (LM) training algorithms to solve non-linear fourth - order three -dimensional partial differential equations in the two kinds in the periodic and in the non-periodic - Periodic. Software reliability growth models are essential tools for monitoring and evaluating the evolution of software reliability. Software defect detection events that occur during testing and operation are often treated as counting processes in many current models. However, when working with large software systems, the error detection process should be viewed as a random process with a continuous state space, since the number of faults found during testin
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