Background: Polycystic ovary syndrome (PCOS) is
the most common form of chronic anovulation
associated with androgen excess; it occurs in about 5
– 10% 0f reproductive age women. Metabolic
syndrome is characterized by insulin resistance,
hypertension, obesity, abnormalities of blood clotting
and dyslipidemia.
Adult women with PCOS have an increased
prevalence of the metabolic syndrome(MBS).
Objectives: To detect the prevalence of metabolic
syndrome in women with proved PCOS, attending the
Specialized Center for Endocrinology and Diabetes, in
Baghdad.
Materials and methods : A total number of 40
women with proved PCOS were included in this study
which was conducted in the Specialized Center for
Endocrinology and Diabetes-Baghdad, over a period
of 5 months(from April till September 2005).In
addition to measuring waist circumference and body
mass index(BMI),all patients were tested for the
levels of C-peptide, Fasting plasma glucose(FPG),
Serum luteinizing hormone(LH), Follicle st –
imulating hormone(FSH), Prolactin(PRL),
Progesterone, estradiol(E2), testosterone,T3,T4 and
TSH .
Also lipid profile, glycated hemoglobin(HbA1c) were
estimated to all patients. Glucose tolerance test(GTT)
using 75 gm of glucose was performed on all patients.
Results: Out of 40 women with PCOS,eleven
patients(27.5%) have impaired GTT. Twenty patients
(50%) out of 40 fulfil the criteria of the International
Diabetes Fideration(IDF)
Consensus Definition of the metabolic
syndrome(MBS)-2005.
Thirty-Seven patients(92.5%) have a waist
circumference more than 80 cm.
Thirty-two patients(80%) have secondary amenorrhea.
Hirsuitism and increased BMI(body mass index) were
present in 33 patients(82.5%)
The mean C-peptide level was higher in those patients
who had impaired GTT(11 patients),meaning that
GTT can be used to detect insulin resistance specially
in Labs. where measurements of insulin levels are not
available.
Conclusions :
1. Metabolic syndrome is present in 50% of our
patients,using the IDF Consensus Definition of
the metabolic syndrome-2005.
2. Glucose tolerance test can be used to detect the
presence of insulin resistance specially in Labs.
where measurements of insulin levels are not
available.
3. Insulin resistance is present in 27.5% in women
with PCOS who were included in our study.
The electrocardiogram (ECG) is the recording of the electrical potential of the heart versus time. The analysis of ECG signals has been widely used in cardiac pathology to detect heart disease. The ECGs are non-stationary signals which are often contaminated by different types of noises from different sources. In this study, simulated noise models were proposed for the power-line interference (PLI), electromyogram (EMG) noise, base line wander (BW), white Gaussian noise (WGN) and composite noise. For suppressing noises and extracting the efficient morphology of an ECG signal, various processing techniques have been recently proposed. In this paper, wavelet transform (WT) is performed for noisy ECG signals. The graphical user interface (GUI)
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Background: In spite of all efforts, Non-small cell lung cancer (NSCLC) is a fatal solid tumor with a poor prognosis as of its high metastasis and resistance to present treatments. Tyrosine kinase inhibitors (TKI) such as erlotinib are efficient in treating NSCLC but the emergence of chemoresistance and adverse effects substantially limits their single use. Objective: in this study, the combination treatments of either 2-deoxy-D-glucose (2DG) or cinnamic acid (CINN) with erlotinib (ERL) were tested for their possible synergistic effect on the proliferation and migration capacity of NSCLC cells. Methods: In this study, NSCLC model cell line A549 was used to investigate the effects of single compounds and their combination on cell gro
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In information security, fingerprint verification is one of the most common recent approaches for verifying human identity through a distinctive pattern. The verification process works by comparing a pair of fingerprint templates and identifying the similarity/matching among them. Several research studies have utilized different techniques for the matching process such as fuzzy vault and image filtering approaches. Yet, these approaches are still suffering from the imprecise articulation of the biometrics’ interesting patterns. The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding performance compare
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New polymer blend with enhanced properties was prepared from (80 %) epoxy resin (Ep), (20%) unsaturated polyester resin (UPE) as a matrix material. The as-obtained polymer blend was further reinforced by adding Sand particles of particle size (53 μm) with various weight fraction (5, 10, 15, 20 %). Thermal conductivity and sorption measurements are performed in order to determine diffusion coefficient in different chemical solutions (NaOH, HCl) with concentration (0.3N) after immersion for specific period of time (30 days). The obtained results demonstrate that the addition of sand powder to (80%EP/20%UPE) blend leads to an increase of thermal conductivity, with an optimum/minimum diffusion coefficient in (HCl)/(NaOH), respectively.
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Abstract
The aim of this work is to create a power control system for wind turbines based on fuzzy logic. Three power control loop was considered including: changing the pitch angle of the blade, changing the length of the blade and turning the nacelle. The stochastic law was given for changes and instant inaccurate assessment of wind conditions changes. Two different algorithms were used for fuzzy inference in the control loop, the Mamdani and Larsen algorithms. These two different algorithms are materialized and developed in this study in Matlab-Fuzzy logic toolbox which has been practically implemented using necessary intelligent control system in electrical engineerin
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