Archives of Current Research International http://journalacri.com/index.php/ACRI <p style="text-align: justify;"><strong>Archives of Current Research International (ISSN: 2454-7077)</strong> aims to publish high-quality papers (<a href="/index.php/ACRI/general-guideline-for-authors">Click here for Types of paper</a>) in all areas of ‘research’. By not excluding papers on the basis of subject area, this journal facilitates the research and wishes to publish papers as long as they are technically correct and scientifically motivated.</p> en-US contact@journalacri.com (Archives of Current Research International) contact@journalacri.com (Archives of Current Research International) Tue, 18 Feb 2020 08:50:50 +0000 OJS 3.1.1.4 http://blogs.law.harvard.edu/tech/rss 60 Copper, Magnesium and Selenium Levels in Serum Samples of Male Patients with Type 2 Diabetes Mellitus http://journalacri.com/index.php/ACRI/article/view/30166 <p><strong>Background:</strong> Trace elements are known to enhance the complete function of the immune system; avert uncontrolled expression and synthesis of inflammatory cytokines. The aim of this study was to determine the levels of Copper, magnesium, selenium in male individuals with type 2 diabetes mellitus.</p> <p><strong>Study Design: </strong>Prospective cohort study.</p> <p><strong>Place and Duration of Study: </strong>Medical outpatient clinic and Chemical Pathology Laboratory both of Enugu State University of Science and Technology Teaching Hospital, between January and December 2016.</p> <p><strong>Methodology:</strong> Forty male individuals with type 2 diabetes mellitus and forty apparently healthy male individuals within the age range of 45 - 75 years were recruited for this study. Glycated haemoglobin (HbA1c), fasting blood glucose (FBG), trace elements (copper, magnesium and selenium) was measured at six months interval.</p> <p><strong>Results: </strong>The mean values of Cu, Mg, Se were significantly lower at pre-treatment compared to apparently healthy control values (<em>18</em>.<em>40</em> <em>+/- 5.25</em> vs <em>95</em>.<em>16</em> <em>+/- 30.32</em> µg/dl, <em>1</em>.<em>23</em><em>+/- 0.16</em> vs <em>1</em>.<em>51</em><em>+/- 0.09 </em>mg/dl and <em>268</em>.<em>47</em><em>+/-54.32 </em>vs <em>349</em>.<em>63</em><em>+/-</em> <em>32</em>.<em>95</em> µg/l respectively) (p= &lt;0.001, &lt;0.001 and &lt;0.001 respectively). At 6 month into treatment in comparison to pre-treatment values, there were significant decreases in HbA1c and Mg (<em>5</em>.<em>76</em><em>+/-0.50</em> vs <em>9</em>.<em>74</em><em>+/-1.25 </em>%, <em>0</em>.<em>26</em><em>+/-0.02</em> vs <em>1</em>.<em>23</em><em>+/-0.16 </em>mg/dl respectively) (p= &lt;0.001, &lt;0.001 respectively).</p> <p><strong>Conclusion: </strong>The levels of copper and magnesium were lower at pre-treatment, while magnesium was lowest at 6 month into treatment. In this study there is continuous increase in serum selenium levels during the treatment period.</p> Ifeanyichukwu Martin Ositadinma, Ngwu Amauche Martina ##submission.copyrightStatement## http://journalacri.com/index.php/ACRI/article/view/30166 Tue, 18 Feb 2020 00:00:00 +0000 A Robust Predictive Modelling of Nigeria’s Population Growth Rate Using Partial Least Square Regression http://journalacri.com/index.php/ACRI/article/view/30167 <p>Nigeria, a developing nation is experiencing the overwhelming effects of her exponentially ever-increasing population. The resultant effects are clearly evident for all stakeholders to see and feel. Researches have been carried out to study, explain and recommend solutions to this lurking epidemic. But unfortunately, numerous researchers have failed to address key issues in regression modelling as used in their studies, some of such issues are; using Wald’s statistic as a variable selection tool rather than the much consensus purposeful variable selection techniques, ignoring the existence of multicollinearity and also missing data. These issues are enough to render the findings in most studies reviewed inadequate, invalid and misleading to be used as a policy-making tool. In this study, the aim is to build a robust predictive model of the Nigeria population growth rate taking into account the aforementioned issues in regression modelling hitherto ignored by some researchers who had used almost this same variables used in this current study. As it would have been expected, death rate, maternal deaths and infant deaths all had negative signs indicating an opposing relationship between these variables and Nigeria population growth rate. The assessment carried out showed that our model has high predictive power, hence, could be used to predict future Nigeria’s population growth rate.</p> Bright C. Offorha, Chukwudike C. Nwokike, Okezie, Uche-Ikonne, Obubu Maxwell, Fidelia C. Onwunmere, Chikezie Uche-Ikonne ##submission.copyrightStatement## http://journalacri.com/index.php/ACRI/article/view/30167 Thu, 20 Feb 2020 00:00:00 +0000