European Journal of Scientific Research

Volume 133 No 1
June, 2015

Application of Aeromagnetic and Remote Sensing Data in Mapping the Contact between the Calabar Flank Sediments and Oban Massif, South Eastern Nigeria
D. A. Obi and B. C. Obei
The Calabar flank sedimentary basin lies adjacent to the Oban Massif crystalline basement rocks. The exact boundary separating both the sedimentary rocks and the basement complex is ambiguous. Two different survey methods were utilized to delineate this boundary and they include Remote sensing satellite imagery and Aeromagnetic data analyses. Four (4) Aeromagnetic maps were acquired on a scale of 1:100,000, and Landsat 7 ETM+ (Enhanced Thematic Mapper Plus) and SRTM (Shuttle Radar Topography Mission) satellite imagery were used in this study. The Aeromagnetic maps were digitized and processed using techniques such as map merging and polynomial residual anomaly separation while the satellite imagery were integrated with Geographic information system (GIS) techniques. Draping of the Landsat 7 ETM+ on a SRTM derived DEM provided a 3D enhancement of the terrain view from which geomorphological deductions were made. Results from satellite imagery indicate numerous fractures within the basement rocks and non existence of fractures within the sedimentary areas. The fractures are mostly oriented NE-SW and clearly delineate the contact zone. Result of the Aeromagnetic Total Intensity Field Map indicates that the sedimentary areas have widely spaced contour lines while the basement rocks areas have tight and closely spaced contours. The Residual Magnetic Anomaly Map indicates areas of widely spaced positive contours as deep seated anomalies, and these areas represent sedimentary rocks. The abrupt changes to tight and closely spaced positive contours are indicative of basement rocks contacts. The results from both techniques complement each other, and the contact separating the Calabar Flank sedimentary rocks and the Oban Massif basement rocks is established.
Keywords: Geomorphology, Crystalline, Basement, Deep Seated, Anomalies.

Optimization of Nutrient Components for Alpha-Amylase Production by Aspergillus oryzae M
Zhanara Suleimenova and Zhazira Saduyeva
Amylases are one of the most important industrial enzymes which have a wide variety of applications in food, feed fermentation, textile, detergent etc. In present work strain of Aspergillus oryzae M (own collection) was used. Various physical and chemical factors have been known to affect the growth and the production of amylase such as temperature, pH, cultivation medium (carbon and nitrogen sources). In this regard carbon and nitrogen sources play significant role in the cell metabolism and synthesis of α-amylase. Optimization of liquid medium (e.g. carbon and nitrogen sources) for extra cellular alpha-amylase production was investigated. Maximal alpha-amylase activity of Aspergillus oryzae M was detected in media with 2% potato soluble starch as a carbon source and 0.5% ammonium nitrate as a nitrogen source.
Keyword: α-amylase, Aspergillus oryzae, carbon sources, nitrogen sources

A Modification of El Gamal Cryptosystem using Statistical Methods
Mahdi Salih Abdul-Hassan and Irtefaa A. N.
In this paper, a particular public key cryptosystem called the El Gamal Cryptosystem is presented considered with the help MATLAB Program to be used with modification by the statistical methods on the text. This paper shows a modification of the this cryptosystem by composite it with some of the statistical methods. These methods are represented by the parameter estimation for any statistical distribution, which be a fit with data (After doing the goodness of fit test). As well as, the decryption procedure of the encrypted by the new algorithm works very well since it provide the private key more security.
Keywords: Statistical Method, Estimation, ElGamal cryptosystem, Encryption, Public Key.

Impact of Integrated Advertising Message Strategy on Persuasiveness and Brand Equity of Jewellery in Chennai
K.S. Hemamalini and R. Venkatesh
In today's marketing scenario integrated message strategy significantly plays a dominant role in marketing communications. The present research aims to study the impact of integrated advertising on the brand equity of the audience. It also aims to find the influence of integrated advertising message strategy on persuasiveness of the audience. The components of brand equity namely brand awareness, brand image and brand purchase intension are also measured in the study. The study concentrates on very popular advertisements which follows the integrated message strategy. Data was collected from 30 respondents from various background. The data was validated using reliability test. The proposed hypotheses were tested using Pearson correlation. The mean values for the variables were identified to study their relative importance. The findings revealed that there is a significant relationship between integrated advertising message strategy and persuasiveness and the study also revealed that integrated advertising message strategy has a positive influence over the brand equity of the audience.
Keywords: Integrated Advertising Message Strategy, Brand Equity& Persuasiveness.

Methylprednisolone Injection Did Not Inhibit Anti-HBs Response Following Hepatitis B Vaccination in Mice
Ughachukwu PO, Okonkwo PO, Unekwe PC and Ogamba JO
The prevalence of hepatitis B viral infection is high worldwide with liver cirrhosis and hepatocellular carcinoma as important complications. Cases of poor antibody response to hepatitis B vaccination abound. Immunosuppression, especially from glucocorticoids, is often cited as a cause of poor antibody response. The study was, therefore, designed to find out if administration of glucocorticoids affects immune response to vaccination against hepatitis B in mice. Mice of both sexes were randomly divided into 2 groups. Daily intramuscular methylprednisolone injections, (15 mg kg-1), were given to the test group while sterile deionized water (0.1ml) was given to control mice for 30 days. On day 6 all mice were given 2 μg (0.1ml) hepatitis B vaccine and a booster dose on day 27. On day 34, blood samples were collected and analyzed for anti-HBs titres using enzyme-linked immunosorbent assay (ELISA). Statistical analysis was done using Graph Pad Prism 5.0. There were positive serum anti-HBs responses in all mice groups but the differences in titres were not statistically significant.At the dosages and length of exposure used in this study, methylprednisolone injection did not significantly inhibit anti-HBs response in mice following immunization against hepatitis B virus.
Keywords: Anti-HBs, Hepatitis B vaccine, Immune response, Methylprednisolone, Mice

First-Order Logic and its Applications – an Overview
P.C. Karthik and E. Poovammal
First-Order logic is used by analysts, fashioners, and specialists to attend to the issues of setting up properties that are formal. One can obtain the importance of logic from its general character as well as the arrangement of outcomes encompassing it. Rationale assumes various parts in programming frameworks. One can utilize the logic to build up rightness (for example, demonstrating a project right). Logic has applications in a lot of areas. Hence logic is utilized as a dialect in conveying significance among distinctive elements. Learning representation utilizes images to convey information. Any control should be possible in mechanized way by thinking frameworks. The thinking framework utilizes information base (Knowledge Representation) to do control successfully and naturally. In this paper, the suitability of first-order logic in various applications is discussed in detail.
Keywords: memory layout, proof certificates, computational linguistics, model checkers, SAT solvers, predicate, deductive.
JEL Classification Code: C. Mathematical and Quantitative Methods. C6. Mathematical methods C63.Computational techniques

Generalized Soft Rough Approach with a Medical Decision Making Problem
E. A. Marei
The main goal of this paper is to introduce a modification approach to soft rough sets. Based on suggested concepts, we aim to solve some problems of traditional soft rough set model and then apply them on a medical application. Clearly, it is very important for every patient to know the degree of his/her disease because a doctor may decide that a person, in this moment, has no disease, although, he/she has this disease in a partial degree such as . In a classical way, this person is not a patient, but after few days, he/she may be become a patient in a complete form. If the degree of his/her disease can be determined, firstly, then this patient may take, only, some preventive treatment. Hence, our considered problem in this medical application is to determine the degree of illness of considered patients suffering from a certain disease.
Keywords:Soft Set, Rough Set, Rough Concepts, Soft Rough Set, Soft RoughConcepts.

A Nifty and Accuracy Architecture of New Prediction Model to Improve Predictive Analytics in Healthcare
Samaher Al-Janabi and Hayder Fatlawi
Aim: Management of healthcare’s resources contributes to improving the quality of medical services, thereby enhancing the level of health of society in general. This management requires providing prospective information about the need for patients admitting in a hospital, and the necessary medical resources.Prediction techniques represent an effective tool for knowledge discovery in huge and complex datasets in many fields including healthcare.
Methods: In this work, we design and implement a prediction model called a Modern Prediction Model for HealthCare Problem (MPM-HCP) which introduces two improvements for Gradient Boosting Machine (GBM) prediction technique. MPM-HCP developed (GBM) by inspiring positive sides of linear regression to replace splitting criterion with a correlation measure in regression tree building. It also reduced the complexity of building boosted model by using a fast method for choosing best split point.
Results: MPM-HCP has significant behavior in terms of prediction error and execution time. In comparison with tradition gradient boosting trees, the MPM-HCP has a testing error of 0.468,while original GBM based on sum of squared has error of0.491, and original GBM based on standard deviations has 0.481 error. Training time is also reduced more than 85%.
Conclusions: MPM-HCP implementation showed that there were three attributes frequent in binary regression trees building. Those attributes were gender of patient, number of claims to admit hospital, and the medical procedure group, which means those attributes is more correlated with the target of prediction (i.e. number of hospitalization days). MPM-HCP confirms the ability to produce precise prediction result, and the scalability to deal with huge dataset in suitable execution time.
Keywords: Correlation Measure, Gradient Boosting Machine, Healthcare Dataset, Predictive Analysis.

Effet de la Fertilisation Minérale et Organique sur la Biomasse et la Teneur en Lawsone du Henné (Lawsonia Inermis) dans la Réserve de Biosphère des Oasis du Maroc
Abdellaoui M, Kasrati A and El Rhaffari L
Au Maroc, Le henné (Lawsonia inermis) est profondément ancré dans les us et coutumes. Son usage comme produit cosmétique est très répandue dans tout le pays. Il est cultivé essentiellement au milieu oasien et constitue une source précieuse de revenu pour les familles rurales. En effet, la fertilisation demeure le seul facteur qui peut différencier entre un henné conduit en mode biologique et celui produit en conventionnel dans le milieu oasien. l’objectif de ce travail est d’évaluer l’effet de la fertilisation minérale et organique sur la biomasse et la teneur en lawsone durant les différentes stades de coupes du henné. Un essai expérimental a été mis en place dans une parcelle située à l’oasis d’Oukhite sud-est du Maroc selon un dispositif en bloc aléatoire complet avec trois répétitions. Le henné est cultivé sous trois traitements de fertilisations (Témoin (HT); Fertilisation minérale (HM) ; Fertilisation organique (HO)). Selon les résultats obtenus, il est déduit que la fertilisation a un effet significatif sur la croissance végétative du henné. L’effet de la fertilisation organique s’est fait sentir essentiellement en début de la deuxième coupe pour l’ensemble des paramètres étudiés (Rendement en matière sèche, Rendement en feuille et le Rendement en bois). De même, la fertilisation organique a un effet très hautement significatif sur la teneur en lawsone dans les feuilles avec des teneurs de 2,80 % et 1,62 % dans les coupes 1 et 2 respectivement. Il ressort donc que la fertilisation organique peut constituer une alternative à la fertilisation minérale dans le milieu oasien pour la culture du henné qui s’apprête bien au mode de production biologique. Egalement, les sous-produits du henné généralement utilisés par les agriculteurs oasiens comme source d’énergie pour la cuisson renferment des teneurs en lawsone non négligeables qui méritent d’être valorisées.
Motsclés: Henné - fertilisation – Oasis du Maroc

Statistical Study on the Desertification in Al Najaf
Durgham Haidar Ramadhan and Irtefaa A. N.
In this study, we focus to know the percentage in Najaf now and also the predicted percentage in 2020. That will help to know the real trouble that we face it in the future.
Firstly, The real Data were collected from (Planning Directorate in Najaf, the Directorate of Agriculture in Najaf and the College of Agriculture at the University of Kufa) .This data represent the areas of planted lands for the administrative units in Al Najaf .The units are center of city(CC), Haidariya(HA), Kufa(KU), Abbasia(AB), Horia(HO), Manathara(MA), Hiera(HI), Mushkhab(MU) and Qadisiya(QA) . In addition, the data involved the total areas and the planted areas for each one in the period 2010-2014.
The results showed the percentage of the planted areas in 2020 is about 21%. That is mean the percentage of the desertification in Al Najaf in 2020 will be about 79%. This type of desertification is called a severe desertification.
We Introduce this study to the depart, met of mathematics to support the Service projects to serve the governorate. Also, to the current government is taking serious steps towards economic and environmental recovery. However, it needs the support of the international community in issues of regional or global dimensions such as combating desertification.
Keywords: Statistical Method. Data Analysis, Estimation and Statistics in Desertification.