European Journal of Scientific Research

Volume 146 No 1
June, 2017

Epidemiology of Tuberculosis in the Region of Gharb-Chrarda-Béni Hssen

Hanaa MOUCHRIK, Abdelmajid SOULAYMANI, Mhammed JABRI, Hind HAMI, Nesma NEKKAL, Abdelrhani MOKHTARI
Abstract:
Tuberculosis is still a topical disease and is a public health problem throughout the world. The objective of this work is to determine the main epidemiological characteristics of tuberculosis. A retrospective descriptive study was carried out on the records of tuberculosis patients in the regional center for the diagnosis of tuberculosis and respiratory diseases (RCDTRD) of Kenitra in Morocco over a period of 2 years from 2010 to 2011. During the period of the study we recorded 889 cases of tuberculosis of all forms. The urban areas were more affected compared to the rural ones with a frequency of 53.1%. Women were the most affected with 39% of cases (sex ratioF/M= 1.54). The age groups most prone to the disease were those of the young adult, [25-34 [and [15-24[years with frequencies of (26.5%) and (24.3%) respectively. Pulmonary tuberculosis was predominant in 51% of the cases; primary infection (PIT) was 0.9%, whereas tuberculosis with an extra-pulmonary localization was 44.9%.
The progression was favorable in 81.1% of cases, 16% were lost to follow-up and 10 patients died, i.e. a case lethality rate of 1.1%.
Keywords: tuberculosis, epidemiology, Gharb-Chrarda-Beni Hssen, RCDTRD.

The Quantized Atomic Masses of the Elements: Part-3; Z=41-60 (Nb-Nd)

Bahjat R. J. Muhyedeen
Abstract:
This paper is the third part of a series of nine of QAM-UQAM-NMT-2015-Ver-3. An innovative semi-empirical atomic mass formula has been derived to calculate quantized atomic masses more precisely than macro-micro formula and purely microscopic HF-self-consistent methods. It is based on the novel mass quantization and the variable neutron mass concepts of new nuclear theory NMT. It can calculate the atomic masses of non-existent isotopes based on the existing experimentally measured nuclides. The discrepancy (RMS) of the mass model is less than 335 keV for UQAM and 884 keV for QAM for the entire region of ground-state masses of 3160 nuclei ranging from 1H to 118Og. The quantized atomic masses of 11000 nuclei ranging from Z=1 to Z=173 have been calculated, 1800 nuclides of them belong to Z=41-60 (Nb-Nd). The results are compared with those of other recent macroscopic–microscopic. Sn, Sp, β-, β+ and α decay energies are also given.
Keywords: nuclear mass formula, neutron mass, atomic masses, new isotopes, super-heavy nuclei, alpha decay.

A Review on Bi-layered Suppositories

Muaadh A. Mohamed Ali
Abstract:
In the last decade, interest in developing a combination of two or more drugs in a single dosage form has increased in the pharmaceutical industry, promoting patient convenience and compliance. Bi-layered suppository can be an attractive option to avoid chemical incompatibilities between drugs by physical separation, and to enable the development of different drug release profiles (immediate release with extended release). Bi-layered suppository is a novel pharmaceutical technology for the successful development of controlled release formulation along with various features to provide a way of the successful drug delivery system. Therapeutic strategies based on rectal delivery of bi-layered suppositories are gaining more acceptance among researchers due to a confluence of factors, including advanced delivery strategies, patient compliance and combination therapy.
Keywords: Bi-layered Suppository, Combination Therapy, Controlled Release, Evaluation of Bi-layered Suppositories.

Classification and Trends in Knowledge Research on Supply Chain Management and Product Lifecycle Management

Pittawat Ueasangkomsate, Aicha Seklouli Sekhari and Yacine Ouzrout
Abstract:
This paper explored classification in order to understand the trends in knowledge research on supply chain management (SCM) and product lifecycle management (PLM). Bibliometric analysis was applied to investigate the dataset using co-citation analysis as unit analysis through VOSviewer to examine the selected 811 articles based on the ISI Web of Science and Scopus. Science mapping was then generated from the cited references. The results showed that there are three main clusters in the knowledge sources on SCM and PLM consisting of: 1) new product management; 2) information management; and 3) sustainable development. The classification of knowledge sources in relation to SCM and PLM was presented diagrammatically. In addition, the time period of prominent research areas was described. This research could contribute to identifying the trends and future direction of common areas of PLM and SCM.
Keywords: Bibliometric analysis, classification, clustering research, product lifecycle management, supply chain management.
JEL Classification: C38, M11.

Building Agent for Detection & Correction Sentences

Buthainah F. AL-Dulaimi and Hameed Taha Khaleel
Abstract:
A syntax error is an error in the sequence of characters or tokens that in a particular programming language may be detected during program execution or compilation. Detection and correction of syntax errors presents the difficulties that face all beginner programmers especially the arrangement sequence of the tokens in the program code. In this paper, the proposed system is developing an agent to perform the detection and correction syntax errors according to Hopfield technique through processing each token individually using java programming language.
Keywords: Correction syntax error, Hopfield Neural network, Agent, Simple reflex agent, Java.


Some properties of a class of Meromorphic Univalent Functions

Waggas Galib Atshan and MajidaHameed Majeed
Abstract:
The in this paper, we to study the class of meromorphic univalent functions. We obtain some geometric properties, like, coefficient bounds, convex linear combinations, distortion bounds,extreme points, closure, Convexity Theorem, andneighborhood property.
Keywords: univalent function, coefficient bounds, convex linear combinations, distortion bounds,extreme points, closure,Convexity Theoremand neighborhood property.


A New Class of Meromorphic Univalent Functions Defined by Linear Derivative Operator

Waggas Galib Atshan and Najah Ali Jiben Al-Ziadi
Abstract:
In the present paper, we introduce a new class of meromorphic univalent functions on the punctured unit disk . We obtain some geometric properties, like, coefficient inequality, growth and distortion bounds, closure theorems, integral operator, radiiof starlikeness and convexity, extreme points, partial sums and neighborhood property for functions belonging to the class .
Keywords: Meromorphic univalent function,linear derivative operator ,convolution , distortion theorem, extreme points, neighborhood.


Twitter Messages Sentiment Analysis Model based on Deep and Machine Learning

Marina Essam Badeaa, Wael H.Gomaa and Mohamed H.Haggag
Abstract:
This research aims at introducing a new hybrid model for Twitter sentiment analysis, which categorizes a tweet’s sentiment polarity into positive and negative. Depending on the lexicon-based, regular machine learning-based and deep learning-based, these three methodologies were trialed, concluding that the out-turn polarity of each methodologies has become an input data for a majority voting algorithm. Through a simple rule, the voting algorithm reached the final polarity. Whereas the hybrid model promotes the accuracy of every approach individually on two data sets according to the experimental outcomes.
Keywords: Twitter, Sentiment Classification, Voting Algorithm, Hybrid Model, Deep Learning.


Review of Process Parameters on Drilling of Natural Fiber Reinforced Composites

Kundan Patel and Piyush P. Gohil
Abstract:
Natural Fiber Composites (NFCs) are alluring for some applications because of their prevalent properties. Typically, conventional drilling is an imperative last machining process for composite materials. The main purpose of this work is to exhibit a writing study on the machining of composite materials, all the more particularly on drilling of NFCs. Perspectives, for example, tool materials and geometry, drilling parameters and their impact on the thrust force and torque are examined. Furthermore, the quality of the holes created is additionally evaluated, with exceptional consideration paid to the delamination. The outcomes demonstrated that regardless of the way that a few angles, for example, the impact of cutting parameters and tool geometry on the quality of the hole have been widely examined by different scientists, the marvels related to shearing of characteristic fiber composite materials require extra studies with a specific end goal to permit a superior comprehension of the conduct of this classification of materials when subjected to drilling.
Keywords: Natural Fiber Composites (NFCs), Drilling, Delamination, Thrust Force, Torque


Textual Data Classification for Intelligent Decision Making : A Case Study of Post Project Reviews

Nadeem Ur-Rahman
Abstract:
Textual Data Mining methods are used to handle multiple information sources available from different data formats. Data Mining techniques are commonly used to handle information available in numerical data formats whereas these techniques have not been fully exploited to handle textual data formats. It requires further processing techniques that are available under the cover of Text Mining. It is however needed to use the combination of data and text mining methods to better exploit the information and transform it into to useful form of knowledge. The discovered knowledge can be used by the knowledge worker to improve the business of an industry. In this paper a new method for the analysis of textual data has been proposed and then used to classify the data into two different classes. The method is based on frequent termset mining and Latent Semantic Analysis (LSA) model to handle the information and then classification of data. The proposed method applied on the data collected from an industrial setup available in the form of Post Project Reviews (PPRs), showed promising results over simple LSA model for text Classification to improve the business process by improving the classification accuracies of data available in the form of PPRs.
Keywords: Data Mining, Clustering, Frequent Termset Mining, Latent Semantic Analysis (LSA), Text Classification, Post Project Reviews (PPRs).