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Hypomagnesemia in Iraqi Diabetic Patients and Healthy Controls: An Exploratory study
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Background: Diabetes mellitus has been suggested
to be the most common metabolic disorder
associated with magnesium deficiency, and because
available data suggest that adverse outcomes are
associated with hypomagnesemia, it is prudent that
routine surveillance for hypomagnesemia be done
and the condition be treated whenever possible.
Aim of the study:To explore the serum Mg
concentrations of diabetic patients and healthy
controls in our locality.
Mehtods: One hundred and forty four diabetic
patients (22 with type I and 122 with type II diabetes
mellitus) recruited from the outpatient diabetes clinic
at the Specialized Center For Endocrine DiseasesBaghdad (62 patients), National Diabetes Center-Al
Mustansiria University (20 patients), and from
private endocrinologic practice clinics in Baghdad
(62 patients), during the period from 1st October
2005 to 30th April 2006. Ninety non-diabetic healthy
controls matched for age and sex were participated in
this study. Exclusion criteria for both groups
included diarrhea and loop diuretics. None were
taking Mg supplements. Level of Mg and Albumin
were determined spectrophotometerically in the
same serum samples.
Results: Mean serum Mg concentrations of the
diabetics was significantly lower than in controls
(p<0.001). Serum albumin was not a significant
predictor of serum Mg neither among diabetic
patients (r = 0.005) nor control subjects (r = 0.139).
In 88.9% of the diabetic patients and 11.1% of the
control subjects serum Mg concentrations were
below the normal reference range of 0.70 mmol/L.
The prevalence is increased when hypomagnesemia
is defined by a reference limit of 0.75 mmol/L
(98.6% and 28.9 % for diabetics and controls,
respectively), a further higher prevalence among
controls (91.1 %) was noted when 0.80 mmol/L is
adopted as the lower normal limit. All diabetics
(100%) and controls (100%) were identified as
hypomagnesemic with a lower reference limit of
0.90 mmol/L.
Conclusion: The tremendous hot climate of ours,
can be suggested as an influential cause for increased
Mg losses, and may provide a coherent explanation
for the exceedingly high prevalence of
hypomagnesemia observed in diabetic and control
subjects participated in this study. Which therefore
may suggest an inevitable requirement for
magnesium supplementation to avert
hypomagnesemia, not only among diabetics, but as
well for controls, particularly through the hot
summer episode

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Publication Date
Sun Jun 01 2014
Journal Name
Journal Of Economics And Administrative Sciences
The Effect of Strategic Intelligence on the Process of Green Manufacturing An Explorative Study for the Managers Opinions of Sample of Mineral water factories at Dahuk
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         The studying trying to determine the role of  Strategic Intelligence on the Process of Green Manufacturing  of  Sample of Mineral water factories at Dahuk city.  The study submit a theoretical frame of Strategic Intelligence and Green Manufacturing, a supposed sample, had been set to reverye   the nature of the relations and effect in the study  Varity, the study  depend on group of the main and branch concurring with the relations and effect between the Strategic Intelligence and Green Manufacturing to answer the following questions about research to problems:

 What are the relationships and effects between stra

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Publication Date
Sun Jan 01 2023
Journal Name
International Journal Of Research In Social Sciences &amp; Humanities
The Impact of Strategic Improvisation on Organizational Health: An Analytical Study of the Opinions of a Sample of the Leaders of the Dhi Qar Health Department
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The current research aims to identify the level of impact of strategic improvisation as an independent variable on organizational health. The dependent variable in the Department of Health of Dhi Qar to reach appropriate mechanisms in order to reach appropriate mechanisms and recommendations proposed to contribute to the achievement of organizational health in the Department of Health of Dhi Qar (the research department) and based on the importance of the subject of research in government institutions and the important and service role of the Department of Health of Dhi Qar in the Iraqi society. The descriptive analytical approach was adopted in the completion of the research based on the opinions of the leaders in the surveyed depa

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Publication Date
Thu May 05 2022
Journal Name
Karbala International Journal Of Modern Science
An economical source for peroxidase: maize cobs
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According to the current situation of peroxidase (POD), the relevant studies on this enzyme indicated its importance as a tool in clinical biochemistry and different industrial fields. Most of these studies used the fruits and vegetables as source of this enzyme. So that in order to couple the growing requirements for POD with the recent demands for reduc-ing disposal volume by recycling the plant waste, the aim of the present study was to extract POD through management of municipal bio-waste of Iraqi maize species. A simple, green and economical method was used to extract this enzyme. Our results revealed that maize cobs are rich sources of POD, where the activity of this enzyme was found to be 7035.54 U/g of cobs. In pilot experiments thi

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Publication Date
Sun Mar 04 2018
Journal Name
Baghdad Science Journal
CVOTING: An Anonymous Ballot E-Voting System
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One of the concerns of adopting an e-voting systems in the pooling place of any critical elections is the possibility of compromising the voting machine by a malicious piece of code, which could change the votes cast systematically. To address this issue, different techniques have been proposed such as the use of vote verification techniques and the anonymous ballot techniques, e.g., Code Voting. Verifiability may help to detect such attack, while the Code Voting assists to reduce the possibility of attack occurrence. In this paper, a new code voting technique is proposed, implemented and tested, with the aid of an open source voting. The anonymous ballot improved accordingly the paper audit trail used in this machine. The developed system,

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Rhabdomyolysis; is it an overlooked DKA complication
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Mon Jan 01 2024
Journal Name
Bio Web Of Conferences
An overview of machine learning classification techniques
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Machine learning (ML) is a key component within the broader field of artificial intelligence (AI) that employs statistical methods to empower computers with the ability to learn and make decisions autonomously, without the need for explicit programming. It is founded on the concept that computers can acquire knowledge from data, identify patterns, and draw conclusions with minimal human intervention. The main categories of ML include supervised learning, unsupervised learning, semisupervised learning, and reinforcement learning. Supervised learning involves training models using labelled datasets and comprises two primary forms: classification and regression. Regression is used for continuous output, while classification is employed

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Publication Date
Sun Jan 01 2023
Journal Name
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Stability and Hopf bifurcation of an epidemiological model with effect of delay the awareness programs and vaccination: analysis and simulation
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