The Jordanian national database for researchers (JNDBR) aims at documenting all academic staff research studies concerned with issues related to Jordanian community. This data base includes information about Jordanian research studies published by Jordanian researchers inside and outside Jordan. This data base will facilitate the process of research utilization and production, access and dissemination of information knowledge. Further, the JNDBR will assist researcher in general researchers in particular in identifying priority areas that need further investigation which will consequently improve education and practice in Jordan. \nThe consistency issue is one of the hot research topics in the analytic hierarchy process (AHP) and analytic network process (ANP). To identify the most inconsistent elements for improving the consistency ratio of a reciprocal pair wise comparison matrix (PCM), a bias matrix can be induced to efficiently identify the most inconsistent elements, which is only based on the original PCM. The goal of this paper is to conduct a questionnaire which include pair wise comparison between the challenges that face the JNDBR improving,\nA decision matrix will be obtained and a consistency analysis will be provided in order to fined the consistent rank of each challenge.

Different wave files will be analyzed in order to create a wave file signature. This signature can be used later by any recognition tool to recognize the person and the word. The results of sound analysis can be used to create a sound password which can be used in any information system project.\nThe purpose of this paper is to investigate sounds and select appropriate parameters to create a sound signature for each person-word.\nThe selected parameters values for each person-word will be used as a set of parameters values and this set will be used as a signature and we will prove the set used to create different signature are different in values.

The objective of this paper concentrates on determining the relationship between unemployment and economic growth in Saudi Arabia for the period 2000-2015 in order to explanation of the employment , unemployment level and its determinants to increase the employment level and avoiding the harmful effects of unemployment problems. The question to be raised is does recruitment rely on the public sector? Does the creation of job opportunities in the state\'s public sector have a negative or positive effect on the private sector through the effect of withdrawing its specialized technical cadres? Is the private sector growth real or illusive?. Is the economic growth adequate to reduce the unemployment rate among Saudis?. The results obtained show that, there are a positive relationships between the employment and real income, real investment, real government expenditure and real value of exports. On the other hand, there are negative relationships between employment and the real value of imports. The economic growth was not adequate in reducing the unemployment rate among Saudis. There is a reversal relationship between unemployment rates and the economic growth which does not effectively work in the Saudi economy. Saudis prefer to work with government sector not in private sector; Government must stimulate Saudis to work in private sector. This paper used the annual data from 2000 to 2015 for Saudi Arabia. All data in this paper was obtained from Saudi Arabian Monetary Agency (SAMA) and World Bank Development Indicator.

Using the methods of the radiodiagnosis the analysis of the perinatal cerebrovascular lesions has been made. The results of the study of the immunogenesis in the patients with the behavioral disorders are presented.

“Code Smell” or “Bad Smell”, at the very least, is an indicator of badly for source code and is often analytical of deeper problems in software design. In layman terms, it signals flaws in the core foundation or architecture of the software that can cause any number of more serious problems – from usability and runtime performance to supportability and enhancement. These problems can mostly be prevented by the systematic refactoring of the code. Code smells are symptoms of deep-rooted problems in design, which, in most common cases, reduce the understandability of the system for present and future programmers, therefore depiction the program un-maintainable. Identification of these code smells has been thought of as an spontaneous art rather than an exact science, as there are very few empirical measures or methodologies for doing so. This paper implements JSmell, which will follow a scientific approach to detect five of these 22 code smells. JSmell will give suggestions to refactor the code for all five of these smells. Further, the tool will provide an interactive process to refactor two of these cases; while for the rest, it will suggest an ideal refactoring technique that would need to be applied manually.

Many countries of the \"exchange systems stabilized\" but recent decades have increasingly number of countries with \"flexible foreign exchange systems\" has been added. During the rule of this system, many researchers to test the efficiency of currency markets, the world began. Efficiency refers to the market where the price information related to financial assets is reflected. Efficient market hypothesis, three weak form, semi Vqvy is strong. The level of difficulty in terms of the desired information with each other are different. Poor performance in the market prices contain all the information in past prices. Mtalq with semi-strong form efficiency, prices of financial assets available to the public all information is immediately reflected formation. Finally, with the strong market performance, financial asset prices reflect all information, even private At home. Results of the semi strong form efficiency tests, results of tests with poor performance conflict. Whereas, poor efficiency of currency markets, indicating inability to predict future exchange rates, using the exchange rates is the historical background. Dysfunctional semi-strong market, which indicates that activists through analysis of exchange rates movements and relationships, to predict exchange rates and consequently the acquisition and ongoing profits are unusual. Results of this study can exchange for market participants, Venice country policymakers, particularly central bank Dranjam informed judgments to movements of exchange rates and consequently the appropriate decisions, be useful.

The unit disk graph is a mathematical model for wireless sensor networks when\nall sensors have the same communication radius.\nThere are two classical optimization problems on graphs, relevant to unit disk graph, models\nof mobile ad hoc networks, maximal independent set of nodes, that is also a dominating set,\nand minimum connected dominating set.\n\nWe propose decomposition of connected unit disk graph into 1-by-1\nboxes and two new matrices corresponding to this graph (Packing\nmatrix and Independent vertex matrix) for approximating maximal\nindependent set. If the graph is bounded, then the considered\nproblems can be solved in polynomial time. We prove this fact\nindirectly by presenting dynamic programming algorithm and show\nthat these results are optimal.

Introduction: The aim of the study is to present demographic and clinical characteristics of children hospitalised for respiratory tract infection with respiratory syncytial virus (RSV) infections. \nMaterials and methodology: We performed a prospective descriptive study in children < 5 years of age. Virological diagnosis was made by immunocromatography and multiplex reverse transcription-polymerase chain reaction in specimens obtained from nasopharyngeal aspirates. \nResults: Boys to girls ratio was 33/28 (1.18), 46.6% of these patients were hospitalised. Seasonal distribution of the patients was winter (85%) and spring (15%) months. Cough was the most common symptom (96.7%), followed by tachypnea and dyspnea. The incidence of expiratory rales in group I (0-6 months) was higher than the other groups and the difference was statistically significant (p < 0.05). Tachycardia (63.9%), tachypnea (49.2%), wheezing (36.5%), intercostal retractions (36.1%) and hypoxemia (19%) were the most frequently clinical findings. The presence of high fever was more common in those with a history of prematurity (p < 0.05). Pathological radiologic findings were found in 52 (88.1%) patients. Lymphopenia was found to be the most striking hematological finding (p<0.05). In 25 (40%) of the cases, the level of CRP was higher than the normal values (normal: <2.8 mg/L); only in 3 (5%) the values were greater than 50 mg/L (mean: 12.8 mg/L). \nConclusions: In our study, RSV positivity was 31%, and hospitalisation ratio was 46.6% in our patients. CRP levels may be found higher in patients with RSV.