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Prevalence of peripheral arterial disease among patients with acute coronary syndrome, a sample of Iraqi patients in Al-Yarmook Teaching Hospital 2016
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Abstract

Background: A significant proportion of patients with ischemic heart disease have been associated with peripheral arterial disease, yet it is still underestimated by our health system as many of patients are asymptomatic and this condition remains under diagnosed and therefore undertreated.

Objective: To study prevalence of peripheral arterial disease of the lower limbs in patient with acute coronary syndrome and its association with certain risk factors.

Method: A cross sectional descriptive study was conducted in the coronary care unit at Al-Yarmouk Teaching Hospital from the 1st of January 2016 to the 1st of November 2016 where hundred and fifty (150) patients enrolled to the coronary care unit with approved acute coronary syndrome, had been evaluated for peripheral arterial disease by assessing Demographic, risk factors and clinical features of the patients, including age groups, gender, hypertension, diabetes mellitus, smoking, dyslipidemia, family history. of coronary artery disease, previous history of cerebrovascular accident, body mass index, leg pain, measurement of ankle brachial index using hand held continuous wave Doppler device.

Results: in 150 acute coronary syndrome patients were included male were (70.7%) , peripheral arterial disease was found in 31.2% through measuring ankle brachial index, 51% of those patients were asymptomatic and 29.8% with atypical leg pain and 12.8% with intermittent leg pain and 6.4% had pain at rest. And ankle brachial index in the 150 patients with acute coronary syndrome were 68.8% normal (ankle brachial index =1.4-0.91) and 21.3% (ankle brachial index =0.9-0.71) and 7.3 %( ankle brachial index =0.69-0.41) and 2.6% (ankle brachial index ≤0.40). 

Factors independently related to peripheral arterial disease were old age (>60 years) which constitutes 51% and p value was 0.013, and smoking which constitutes 46.8% and P value was 0.04, and dyslipidemia which constitutes 74% and P value was 0.03, and finally previous history of cerebrovascular accident which constitutes 21.2% and P value was 0.0018.

Conclusion: The prevalence of peripheral arterial disease in patients presenting with acute coronary syndrome is considerable and significant, the majority of patients were asymptomatic, it is associated with increased cardiovascular risk. Factors like aging, hypertension, diabetes mellitus, smoking, previous history of cerebrovascular accident, and dyslipidemia were strong predictors of peripheral arterial disease.

 

Key word: peripheral arterial disease , acute coronary syndrome, hypertension, diabetes mellitus.

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Publication Date
Tue Mar 30 2021
Journal Name
College Of Islamic Sciences
Divine orders Divine orders directed to his prophets (peace be upon them): Divine orders directed to his prophets (peace be upon them)
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ملخص البحث:

    ان الله تعالى هو الذي خلق جميع المخلوقات ، والذي بيده الموت والحياة وان كل هذه المخلوقات تحتاج الى اوامر ، وهذه الاوامر الالهية وجهها الله لعبادة بوساطة انبياءه ( عليهم السلام) فكانوا هم اول المستسلمين والمنقادين لأوامره ، فجاءت الآيات الكريمة مخاطبة للأنبياء واقوامهم بشكل عام ولنبينا محمد (r) بشكل خاص.

اما عن المضمون البحثي فقد جاءت مادته مقسمة الى ثل

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Publication Date
Sun Jun 06 2010
Journal Name
Baghdad Science Journal
Stochastic Non-Linear Pseudo-Random Sequence Generator
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Many of the key stream generators which are used in practice are LFSR-based in the sense that they produce the key stream according to a rule y = C(L(x)), where L(x) denotes an internal linear bit stream, produced by small number of parallel linear feedback shift registers (LFSRs), and C denotes some nonlinear compression function. In this paper we combine between the output sequences from the linear feedback shift registers with the sequences out from non linear key generator to get the final very strong key sequence

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Publication Date
Tue Jan 18 2022
Journal Name
Materials Science Forum
The Effect of Gamma Radiation on the Manufactured HgBa<sub>2</sub>Ca<sub>2</sub>Cu<sub>2.4</sub>Ag<sub>0.6</sub>O<sub>8+δ</sub> Compound
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In this article four samples of HgBa2Ca2Cu2.4Ag0.6O8+δ were prepared and irradiated with different doses of gamma radiation 6, 8 and 10 Mrad. The effects of gamma irradiation on structure of HgBa2Ca2Cu2.4Ag0.6O8+δ samples were characterized using X-ray diffraction. It was concluded that there effect on structure by gamma irradiation. Scherrer, crystallization, and Williamson equations were applied based on the X-ray diffraction diagram and for all gamma doses, to calculate crystal size, strain, and degree of crystallinity. I

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Publication Date
Wed Jun 30 2021
Journal Name
Iraqi Journal Of Market Research And Consumer Protection
BANKING COMPLIANCE FUNCTION(COMPARATIVE STUDY BETWEEN COMMERCIAL & ISLAMIC BANKS): BANKING COMPLIANCE FUNCTION(COMPARATIVE STUDY BETWEEN COMMERCIAL & ISLAMIC BANKS)
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Never the less, banking compliance function became one of the most important functions in banking sector according to its characteristics that considered as an interior control tools to control (executive management, departments, subsidiaries…etc) in any bank; and their compliance towards applying rules, recommendations and legislations. In addition to, estimating the risks and limited them; and controlling the anti-money laundering. Thus, these functions that covered the main concept of (Banking Compliance) would avoid the bank to be under the control of any sanctions.

 

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Publication Date
Sat Dec 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
Comparing Several Nonlinear Estimators for Regression Function
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The aim of this paper is to estimate a nonlinear regression function of the Export of the crude oil Saudi (in Million Barrels) as a function of the number of discovered fields.

 Through studying the behavior of the data we show that its behavior was not followed a linear pattern or can put it in a known form so far there was no possibility to see a general trend resulting from such exports.

We use different nonlinear estimators to estimate a regression function, Local linear estimator, Semi-parametric as well as an artificial neural network estimator (ANN).

The results proved that the (ANN) estimator is the best nonlinear estimator am

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