Developing Strategic Reports for National Co-Operative of Malaysia (Angkasa) Using Data Warehouse and Decision Tree Model

Managing an organization requires access to information in order to monitor activities and assess performance. Business Intelligence (BI) solutions provide organizations with timley, itegrated information that is crucial to the understanding of their business. Data Warehouse (DW) technology is one of the important strategic management approaches for decision making in an organizations. The BI combines architectures, tools, databases, analytical tools, and methodologies to enable the implementation of interactive information in generating analytical reports. Strategic reports, which influence the enduring way of the whole company, are typically used by top managers. These kinds of decisions are repeatedly complex and the outcomes unsure, because existing information is habitually incomplete. Managers at this point must normally depend on history experiences and their instincts when making strategic decisions. DW is a technology allows integrating and transforming enterprise data for strategic decision making. Furthermore, Decision Tree (DT) is a decision support tool that uses a tree-like graphof decisions and their possible consequences, including chance event outcomes, resource costs, and utility. The organization, which is, responsible to manage people activities need strategic decisions making. This paper will be focused how to design and develop Strategic Reports using DW and DT Model for National Co-operative Organization of Malaysia (ANGKASA) called DSRNCO, as a case study. This system has been evaluated through the system user feedback by using Computer System Usability Questionnaire (CSUQ), which measures system usability and user satisfaction

Mn+2 and Cd+2 Removal from Industrial Wastewater Using Phillipsitic Tuff from Jabal Uniza, Southern Jordan

Southern Jordanian natural zeolitic tuffs outcropped in Uniza volcano have been investigated and tested for their heavy metals' removal capacity. The main species identified in Uniza natural zeolitic tuffs are: phillipsite and, subordinately, chabazite. The effects of particle size and stirring time were examined in the removal experiments. Two types of Uniza phillipsitic tuff were used in the removal of Mn+2 and Cd+2 from treated industrial wastewater. The first type is the reddish bulk sample (UZ1), while the second type is the separated size (UZ2) fraction between 1 and 0.3 mm. Batch and column tests were performed to determine the removal capacity of Mn+2 and Cd+2 from treated industrial wastewater. In batch experiments (static regime), the use of UZ2 type shows a higher removal percentage of Mn+2 and Cd+2 compared to UZ1 type for the same time. The results of column experiments indicate that toxic metal ions such as Mn+2 and Cd+2 can be removed with approximately 100% efficiency from industrial wastewater containing similar ions using Jordanian zeolitic tuff. In dynamic regime, by using UZ1 the manganese ions (Mn+2) were completely removed up to 57 BV (1.71 L) and the zeolite exhaustion took place after more than 112 BV (3.36 L), while by using UZ2 the manganese ions were completely removed up to 67 BV (2.01 L) and the zeolite exhaustion took place just around 114 BV (3.42 L). For an efficient cadmium ions removal, the use of UZ1 sample showed a complete removal up to 85 BV (2.55 L) and the zeolite exhaustion took place after more than 129 BV (3.87 L), while the use of UZ2 showed that the Cd+2 ions were completely removed after 151 BV (4.53 L) and the zeolite exhaustion took place after more than 205 BV (6.15 L)

MOLECULAR AND CHEMICAL THERAPEUTIC FEATURES OF URTICA SPECIES

The present review study was conducted to review the current understanding of molecular aspects of Urtica species. We refer to the most recent published articles addressing the therapeutic potential of this plant. A wide spectrum of diseases has been associated with Urtica species including cancer, arthritis, autoimmune diseases, diabetes, and fatigue. Some molecular mechanisms and chemical properties have been discussed. Taken together, studies have confirmed the beneficial effects of Urtica all over the world and understanding of the molecular mechanisms underlying the beneficial effects opens new horizon to understand new therapeutic options. The extracts of Urtica should be prepared based on separating effective ingredients for optimal therapeutic benefits

Marker hiding methods: Applications in augmented reality

© 2015 Taylor & Francis Group, LLC.In augmented reality, the markers are noticeable by their simple design of a rectangular image with black and white areas that disturb the reality of the overall view. As the markerless techniques are not usually robust enough, hiding the markers has a valuable usage, which many researchers have focused on. Categorizing the marker hiding methods is the main motivation of this study, which explains each of them in detail and discusses the advantages and shortcomings of each. The main ideas, enhancements, and future works of the well-known techniques are also comprehensively summarized and analyzed in depth. The main goal of this study is to provide researchers who are interested in markerless or hiding-marker methods an easier approach for choosing the method that is best suited to their aims. This work reviews the different methods that hide the augmented reality marker by using information from its surrounding area. These methods have considerable differences in their smooth continuation of the textures that hide the marker area as well as their performance to hide the augmented reality marker in real time. It is also hoped that our analysis helps researchers find solutions to the drawbacks of each method. © 201

Using Normalized Difference Vegetation Index (NDVI) to Identify Hydrocarbon Seepage in Kifl Oil Field and Adjacent Areas South of Iraq

The study area lies south of Iraq, it covers 4009 km². The data is used in this research comprise Landsat 8 (OLI) data, and Ancillary data such as geological and topographic maps. The study area include the Kifl Oil Field whereas comprise number of important formations for oil production. There are four oil wells drilled in the Kifl Oil Field. Some of them producer of hydrocarbon and others wells have hydrocarbon evidences.The Normalized Difference Vegetation Index (NDVI) is used to identify prospective hydrocarbon seepage areas within the vegetation cover, the magnitude of green vegetation was quantified to levels and separated from other classes. The classification system for the vegetation in the study area is based on four categories: High vegetation density, Moderate vegetation density, Low vegetation density, and no vegetation. The result of classification reveals that low vegetation density areas, and no vegetation areas could be prospective hydrocarbon seepage areas. Supervised classification apply on the gray scale image of NDVI by chosen training areas of dark tones pixels that have values of absorption  close to values of water absorption which are illustrated prospective hydrocarbon seepage areas. Three classes in the study area included hydrocarbon seepage class compared with other three classes collected from another near area, this comparison has been proved that there is identical behave of the spectral signatures for all three classes. According to the conclusions, the NDVI is effective to identify hydrocarbon seepage in the study area particularly in the regions characterized by vegetation cover. Keywords: Landsat 8 (OLI), Hydrocarbon Seepage, NDVI, Threshold, Anaerobic

Website Phishing Detection Using Machine Learning Techniques

Phishing is a cybercrime that is constantly increasing in the recent years due to the increased use of the Internet and its applications. It is one of the most common types of social engineering that aims to disclose or steel users sensitive or personal information. In this paper, two main objectives are considered. The first is to identify the best classifier that can detect phishing among twenty-four different classifiers that represent six learning strategies. The second objective aims to identify the best feature selection method for websites phishing datasets. Using two datasets that are related to Phishing with different characteristics and considering eight evaluation metrics, the results revealed the superiority of RandomForest, FilteredClassifier, and J-48 classifiers in detecting phishing websites. Also, InfoGainAttributeEval method showed the best performance among the four considered feature selection methods

Dielectric Properties and AC conductivity of (Epoxy / Ion exchange) blend

The dielectric behavior of blend materials epoxy resin- Polyvinyl benzyl dimethyl ethanol ammonium chloride (PBDEAC) (Ion exchange) was analysed as a function of Ion exchange  weight content; temperature and frequency. Blends were prepared by mixing the components and pouring them into suitable moulds. The dielectric parameters have been measured using parallel plate capacitor method in the frequency range from 120 Hz to 2 MHz and in the temperature range from 30 ?C to 110?C. Variations of real (??) and imaginary (?") parts of dielectric constants and loss tangent of material with frequency and temperature have been studied. The experimental results showed that (??) and (?") increased with the addition of Ion exchange filler content. The value of (??) decreased with increasing frequency, which indicates that the major contribution to the polarization comes from orientation polarization. Dielectric loss peaks were also observed in the composite materials at high temperature. The value of (??) increased with increasing temperature, and is due to greater freedom of movement of the dipole molecular chains within the polymer at high temperature. Ac. conductivity and impedance of the composites behaviours as function of frequency and temperature have also been investigated. Keywords: Dielectric properties, epoxy, Ion exchange, ac. conductivity

In Situ Hybridization for Molecular Detection of Human Papilloma Viral 6 / 11 DNA in Adenoctomized Tissues from A group of Iraqi Pediatric Patients

هنالك أكثر من 200 من الأنماط الجينية لفايروس الورمي الحليمي البشري والتي تم التعرف عليها من خلال  الترابط مابين الانماط الجينية ذات الاختطار الواطئ للفايروس الحليمي البشري مع مجموعة متنوعة من الأورام الفموية والبلعوم والبلعوم الأنفي وكذلك الأورام الحليمية غير الخبيثة  وتضخم الغدة. هدفت هذه الدراسة  من نوع الاستقصائية- السيطرة إلى تحديد الحمض النووي للفيروس الورمي الحليمي البشري 6/11 في انسجة الغدد البلعومية الأنفية واللوزتين لمجموعة من المرضى الذين يخضعون لاستئصال اللوزتين. تم الحصول على 60عينة من أنسجة اللوزتين الأنفية البلعومية من الأطفال الذين يعانون من تضخم اللوزتين الغدي, تضمنت 40 من أنسجة اللوزتين الأنفية البلعومية للمرضى الذين يعانون من تضخم غدي ، و 20 عينة نسجية من الأطفال  بعد عمليات التشذيب للانسجة الأنفية السفلية بدون  تغييرات مرضية ملحوظة (كمجموعة  سيطرة). تم اجراء الكشف الجزيئي عن الحامض النووي للفيروس الورمي الحليمي البشري نمط 6\11 باستخدام تقنية التهجين الموضعي ذات الحساسية العالية في عينات الأنسجة الضخمة الغدية ز تم العثور على 8 من أصل 40 تحتوي على نتائج إيجابية للحمض النووي للفيروس الحليمي البشري 6\11 حيث شكلت 20 ٪ من إجمالي الأنسجة الغدية البلعومية الأنفية.بينما لاتوجد أي اشارة موجبة للحامض النووي للفايروس الحليمي البشري نمط 6\11 في مجموعة السيطرة. أظهر التحليل الإحصائي للنتائج في هذا البحث اختلافًا كبيرًا مقارنةً  مابين مجموعتي المرضى والسيطرة عند مستوى احتمالية اقل او يساوي 5%. يمكن أن يلعب فيروس الورم الحليمي البشري ذات الاختطار الواطئ في تلك الأنسجة الغدية المتضخمة دورًا في التسبب في الأمراض و / أو يشكل عامل  لانتشار العدوى الفيروسية للانسجة الاخرىAmong more than 200 different human papilloma viral genotypes, the association of low oncogenic risk-HPV genotypes have been recognized with a variety of oral, oropharyngeal, nasopharyngeal benign tumors as well as non-neoplastic polyposis and papillomas and adenoid hypertrophy. This prospective case- control study aims to determine the rate of DNA detection of HPV genotype 6/11 in nasopharyngeal adeno- tonsillar tissues from a group of patients subjected to adenoctomy for adenoid hypertrophy . A total number of nasopharyngeal adeno-tonsillar tissue specimens from pediatric patients with adenoid hypertrophy were enrolled; 40 nasopharyngeal adeno-tonsillar tissues from patients with adenoid hypertrophy, and 20 normal nasal tissue specimens were obtained from pediatric patients following trimming operations of their inferior nasal turbinates' with unremarkable pathological changes (as an apparently healthy control group). The molecular detection methods for HPV detection were performed by using DNA probes via a recent version of chromogenic in situ hybridization specified for low- risk HPV genotypes.  Among total adenoid hypertrophied tissue specimens group, 8 out of 40 were found to contain positive results for DNA of HPV 6 / 11 genotype, constituting 20% of the total screened nasopharyngeal adenotonsillar tissues. No positive– CISH reactions were detected in the control nasal tissues. The statistical analysis of results in this research showed significant difference when compared to the control apparently healthy tissues.   The significant rate of low- oncogenic HPV genotypes detection in those adenoid hypertrophied tissues could play, in part, a role in their pathogenesis and / or constituting a herald focus for the spread of such important virally transmitted infection