IJOART Volume 6, Issue 3, March 2017 Edition

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Activating G Suite for education and apply Google Classroom at Avi-Cenna e-learning Centre / University of Baghdad to develop and deliver e-learning services in Iraq[]

This Google Apps are Free Web-based application, and productivity tools that do everything those non-free applications do -- and you can access them from any Device and any computer with Internet connection. The research aims submitted to the promotion of the educational reality in Iraq through the free service offered by Google Inc., where the researcher activating and managing these tools in e-learning to University of Baghdad / Avi- Cenna Centre for e-learning and set up an account on the domain of the University of Baghdad and then was creating and managing service (Google Classroom) with the creation account of professors and students on a larger scale.


Fresh leaves of Leptadenia hastata were obtained from different locations at Baram village along Dass road in Bauchi State, Nigeria and analyzed for their proximate and mineral composition using standard analytical techniques. The results obtained indicated that all the parameters (carbohydrate, crude lipid, crude protein, ash content, crude fibre, moisture content and minerals) determined were present at varying concentrations.

Graph-Based Density Evaluation for Mammographic Image Classification Based On Intensity Values[]

The classifying mammograms from low scale X-Ray images have studied in different categories of medical fields. The efficiency of classification suffers due to the nature of mammogram images because the x-ray images are low in quality and have taken from low strength rays. The x-rays are low quality different ultrasonic and other images. But the mammogram classification is performed at an initial level of cancer identification. The earlier approaches suffer in identifying microcalcifications. The proposed system has three different steps namely, image enhancement, Mammographic Graph Construction, Density Estimation. A new graph-based density estimation approach will propose to identify the classification of mammograms. The proposed approach enhances the image using histogram equalization technique.The pixel intensity values are adjusted in such a way to increase the contrast of the image that is used to construct the graph.Each pixel is considered as a node and connected with an edge with other neighboring pixel based on the intensity values. It computes the density measures for each distinct graph where the connected nodes have similarly valued pixels. The density measure shows that the region of the image in which has more impact towards cancer cells. The computed density measure is used to classify the region or group of pixels towards mammogram. The proposed method is performed in a single iteration.The graph is constructed to minimum numbers regions according to the number of regions in which has the white and black pixels form regions. This reduces the overall time for segmentation process and reduces the time complexity of mammogram classification.

Comparison of ELISA and IPMA tests for the detection ofAnti-Lawsonia antibodies in horses[]

The objective of this study was to compare a commercially available indirect enzyme-linked immunosorbent assay (ELISA) with an immune peroxidase monolayer test (IPMA), considered to be a reference test, for the detection of antibodies against Lawsonia intracellularis in horses. A total of 100 serum samples were tested with both tests at three different dilutions 1:125, 1:150 and 1:175. When sera were tested at 1:125 dilutions, the sensitivity of ELISA was 90% with 94% specifity. At a dilution of 1:150, the sensitivity was 88% and specifity was 96%. At 1:175 dilutions, the sensitivity and specificity were 85% and 98%, respectively. Based on these validation results, we believe that commercially available ELISA is a useful alternative for the diagnosis of equine proliferative enteropathy.

Investigation and Analysis of Customers’ Complaints on Fibre Cement Roofing Sheet Manufacturing[]

This study investigated customers’ complaints on dystopia nature of fibre cement roofing products which despise its esthetic nature and reduce customers’ patronage with intention to boost the products integrity by providing quality products that satisfy customers’ requirement. Statistical Process Control (SPC) tools, namely Pareto diagram, and cause-and-effects diagram were used to analyze the data collated during the investigation. While Pareto diagram was used to analyze sixteen identified types of product defects that were returned to the manufacturer by customers’ within the period of four years, the cause-and-effects diagram was used to investigate the root cause of vital few product defects using the minitab software in conjunction with Quality Management Committee (QMC). The result of the investigation showed that the Weak line, broken edges and sticking sheets were found to be vital few (80%) product defects and the production line problems were the outstanding cause of product defects. After implementation of QMC recommendations, it was found that the products density process capability increased to 1.19 which is greater than required. Out of 600 observations of product density, no observation fell outside control limits of both R and X charts. This study will help in guiding fibre cement roofing sheet manufacturers to produce quality products that meet customers’ requirements.

Amalgamation - what, why and when[]

Amalgamation is a course of action where at least two organizations merge their business to shape another firm, or turn into a backup of any of the organization. For handy purposes, the terms amalgamation and merger are utilized conversely. Be that as it may, there is a slight contrast. Merger includes the combination of at least two organizations into a solitary or-ganization where the character of a portion of the organizations gets broke down. Then again, amalgamation includes dis-solving the elements of amalgamating organizations and shaping another organization having a different legitimate ele-ment.

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