Association Mining of Dependency between Time Series using Genetic Algorithm and Discretization

Association rule mining is one of the most popular data-mining techniques used to find associations existing between a set of objects or data. A time series is a sequence of observations stamped over the time; Time-series analysis has been used in a variety of applications like: business and health. The application of association mining to time series is very promised. The purpose of this article is to propose a new fast algorithm to discover the association that can exist between two time series. We use discretisation to segment time series to a number of shapes, and we classify these shapes to pre-defined shape classes to generate association rules using Genetic Algorithm (GA)

Effective Training for ES Implementation: A Comparative Study

Local and global collaboration in term of people and resources are working together in a professional way to have more benefits for an organization in the success of ES projects. ES projects involve many factors in order for an organization to benefit from the system. ES training is one of the important factors in the ES projects. Beside a comprehensive, early, and continuous training plan that attached to the ES implementation plan, there should be a criterion to measure the quality of such training. As far as the organizations are concern they should be aware of the training methods. In this paper we have discussed the important issues related to an efficient ES training and highlight some training evaluation models that are necessary for organizations to have a successful training

Ensemble Classifiers for Dynamic Signature Authentication

Rapid advances in technology, that made almost everything goes digital have entailed a persistent need for a stronger means of information security. Furthermore, new advanced devices are now available to capture the dynamic of a person’s signature. Therefore, the reliance on the dynamic signature for authenticating entities in secure system became crucial. In this paper, we investigate the problem of dynamic signature verification and recognition using Ensemble of Classifiers, where we used multiple Fisher based probabilistic neural networks as the component classifiers to construct the Ensemble. Two key issues are studied; the first issue is how to construct the Ensemble. The second issue is how to combine the predictions of the component classifiers in order to accomplish the decision-making process. Data sets from SVC dataset have been used to assess the performance of the proposed ensemble of classifiers. Obtained results are very encouraging and show the ability of ensemble classifiers to deal with the tackled proble

Intrusion Detection Using PCA Based Modular Neural Network

Most of current intrusion detection systems are based on machine learning methods but very few till now use clustering algorithms as a preprocessing layer to reduce the high dimensionality of data, which is difficult to analyze. In this paper we introduce Modular Neural Network for intrusion detection, which apply Principal Component Analysis (PCA) as preprocessing layer for reducing huge information quantity presented in knowledge discovery and data mining (KDD99) data set. PCA significantly reduce the high dimensionality of data set without loss of information. Then this preprocess data in the form of principal component is presented to Batch Backpropagation Neural Network for efficient intrusion detection. We rely on some experiments to calculate Root Mean Square Error (RMSE) using Modular Neural Network on KDD 99 data set. Our experimental results show improvement in the learning time due to the reduction of high dimensions of data. Also we have obtained low RMSE during training, which is below the acceptance range of 0.1. Proposed Modular Neural Network has capability to efficiently and accurately classify data into attack and norma

Nursing documentation in Maternity clinical practice : Reflection of actual nurse's work load

The purpose: is to evaluate nurses' attitudes toward documentation for endorsing patient care and its value as mean of communication. Also to identify the problems and barriers in the nursing documentation for reflecting actual nurse work Load from nurses’ perspective. Methods:1. Design :An exploratory descriptive study design was used. 2. Setting: The study was conducted over three months (March - May 2010) in pre natal ,post natal and nursery departments, at Al aziziah Maternity and children hospital, in Jeddah. 3. Sample; A total of (160 ) female nurses working at the wards of the study settings, 60 of them of different nationality were recruited thought simple random sampling 4. Tools; A questionnaire sheet was developed by researchers for data collection, also Likert rating scale consisting of 10 items divided into two sections: documentation barrier (5 items), and Documentation-tension (5 items). The research tools was generated through review of the literature and consultation with nursing experts. The descriptive statistics of mean was use to analyze the data with a criterion mean at 2.50. Results:. The present study findings revealed significant percentages of nurses’ agreement upon the benefit of documentation to patient care ,(48.7%) reported that nursing notes always facilitate the movement toward the nursing goals, documentation leads to improve patient care recorded (30%). Furthermore, the majority had reported that documentation is always related to nursing care that provided to patient (61.7%). On the other hand, 41.7% were thinking that documentation is often an accurate reflection of patient nursing care. Concerning the value of documentation to the nurses, (51.7%) agreed that use of documentation are often more of help for nurses than load, while (38.3%) reported that nursing notes are often important to every health provider and documentation is not wasting of time. Regarding documentation barriers, (30%) had agreed upon that documentation is too heavily structured by quality assurance, and Workload demands hinder the completing of patient documentation. while (35%) agreed upon the statement that Shortage of staff work hinder completing of patient documentation. While only (16.7%) agreed upon the statement that Language barrier decrease quality of nursing documentation, and (21.7%) reported that documentation consist a lot of double-charting and repetition

Consensus building and recommendations based on the available epidemiology of meningococcal disease in Gulf Cooperation Council States.

The Gulf Cooperation Council (GCC) States share concerns about meningococcal disease, particularly in association with the Hajj and Umrah pilgrimages, which have been connected with outbreaks within the Kingdom of Saudi Arabia and among contacts of the pilgrims in their countries of origin. Currently, the most prevalent meningococcal serogroup in the GCC States is W-135. Although vaccination with polysaccharide vaccines has protected pilgrims and their close contacts from invasive disease, the potential availability of novel conjugate vaccines, such as the one currently used for vaccination of military personnel in the Kingdom of Saudi Arabia, prompted an evaluation of disease epidemiology in the region. For several countries, published data on recent epidemiology are not available. We report findings from a meeting of the GCC States Meningitis Study Group, which comprised experts from the Kingdom of Saudi Arabia, the Kingdom of Bahrain, Kuwait, Qatar, the Sultanate of Oman, and the United Arab Emirates. These experts provided an update on epidemiology and current vaccination practices in the GCC States, and discussed new approaches to more effective disease prevention. Copyright © 2011 Elsevier Ltd. All rights reserved

Assessment of selected Yemeni medicinal plants for their in vitro antimicrobial, anticancer, and antioxidant activities.

Context: The role of natural products as a source for remedies has been recognized since the beginning of mankind. Nevertheless, a minority of folkloricly used medicinal plants have been evaluated for their pharmacological activities. Objectives: The purpose of this study is to evaluate 33 selected Yemeni plants for their in vitro anticancer, antimicrobial, and antioxidant activities. Materials and methods: The plants were extracted with methanol and hot water. The obtained 66 extracts were tested for their in vitro cytotoxic activity using the neutral red uptake assay against two cancer cell lines (5637 and MCF-7). The antimicrobial activity was determined using the agar diffusion method and MIC-determination. The DPPH radical method was used for the determination of antioxidant activity. Results: Interesting cytotoxic activity was observed for Hypoestes forskalei (Vahl) R. Br. (Acanthaceae), Lycium shawii Roem. & Schult. (Solanaceae), Pergularia tomentosa L. (Asclepiadaceae), Psiadia punctulata (DC.) Vatke (Compositae), Pulicaria petiolaris Jaub. & Spach (Compositae) and Rosmarinus officinalis L. (Labiatae) (IC(50) values < 50 μg/mL). Antimicrobial activity with MIC values ≤ 125 μg/mL was exhibited against Gram-positive bacteria by Chrozophora oblongifolia (Del.) A.Juss. ex Spreng. (Euphorbiaceae), Myrtus communis L. (Myrtaceae), Phragmanthera regularis (Steud. ex Sprague) M.G. Gilbert (Loranthaceae) and R. officinalis. Antioxidant activity was observed for C. oblongifolia, M. communis, and P. regularis. Conclusion: The results justified the use of some investigated plants in the Yemeni ethnomedicine. These findings demonstrated that some of the investigated plants could be a source of new cytotoxic and antibiotic compounds; however, further work is needed

Phytochemical Analysis and In Vitro Antimicrobial and Free-Radical-Scavenging Activities of the Essential Oils from Euryops arabicus and Laggera decurrens.

The essential oils of the aerial part of two Asteraceae species, namely Euryops arabicus Steud. and Laggera decurrens (Vahl.) Hepper and Wood, were studied by GC and GC/MS. In parallel the antimicrobial and antioxidant activities were evaluated. The investigation led to the identification of 48 and 44 compounds for both plants, respectively. The essential oil of E. arabicus was rich in oxygenated sesquiterpenes (39.9%). The oil also contained a high content of sesquiterpene hydrocarbons (24.1%). Compounds such as caryophyllene oxide (8.6%), T-cadinol (7.0%), spathulenol (5.2%), (E)-β-caryophyllene (6.0%) and 2-epi-(E)-β-caryophyllene (6.0%) were the main constituents of the oil. Oxygenated monoterpenes also predominated in L. decurrens (46.3%). The thymoquinone-derivative, 3-methoxy-2-methyl-5-(1-methylethyl)-2,5-cyclohexadiene-1,4-dione (28.1%), thymol (5.7%) and eudesma-11-en-4a-ol (7.0%) were the most abundant constituents. Both essential oils showed antimicrobial activity with MIC-values between 0.13-5.25 mg/mL. Furthermore, only the essential oil of L. decurrens exhibited a strong antioxidant activity (91%) at 500 µg/mL. DOI: 10.3390/molecules1606514

Exploiting Arabic Wikipedia for Automatic Ontology Generation: A Proposed Approach

Abstract Ontological models play an important role in the Semantic Web. Despite being widely spread, there are a few known attempts to build ontologies for the Arabic language. As a result, a lack of Arabic Semantic Web applications is encountered. In this paper, we propose an approach to build ontologies automatically for the Arabic language from Wikipedia. Our approach relies on the semantic field theory such that any Wikipedian article is analyzed to extract semantic relations using its infobox and the list of categories. We will also present our system architecture along with an initial evaluation to evaluate the effectiveness and correctness of the resultant ontological model.King Saud Universit

Influence of wall properties on peristaltic transport of second grade fluid with heat and mass transfer

This paper discusses the effects of heat and mass transfer on the magnetohydrodynamic (MHD) peristaltic flow of second grade fluid in a channel with flexible walls. Expressions of stream function, temperature, concentration field, and heat transfer coefficient have been computed. The effects of sundry parameters are sketched and examined. The known results of viscous fluid are obtained as the limiting cases of the present expressions