Abstract Different services have different values for their different properties (functional and non-functional). Moreover, consumers have different preferences for these properties. Since these preferences may be incomplete/ vague/imprecise, this inevitably can in turn cause selection of a non-optimal service for the consumer which may not have the desired value for these properties for the consumer. Therefore optimal web service selection based... Different services have different values for their different properties (functional and non-functional). Moreover, consumers have different preferences for these properties. Since these preferences may be incomplete/ vague/imprecise, this inevitably can in turn cause selection of a non-optimal service for the consumer which may not have the desired value for these properties for the consumer. Therefore optimal web service selection based on the consumer's preferences is a challenging task. In this paper, a new service selection model is proposed which considers consumer preferences for different service properties as well as the actual values of its properties. Services are evaluated and priority weights are computed separately for functional and non-functional properties using modified Fuzzy Extended Analytic Hierarchy Process (FEAHP) and Weighted Sum Method (WSM) respectively. Real time data is used to conduct experiments. Read More Read Less

Abstract This paper describes an approach that exploits links in XML retrieval. The proposed approach consists of reranking the set of documents returned for a given query by considering three sources of evidence namely, the relevance scores w.r.t query of a document neighbours, the text of the anchor links, and the document title tag. Our approach is evaluated on INEX 2006 collection. The results showed significant improvements of the... This paper describes an approach that exploits links in XML retrieval. The proposed approach consists of reranking the set of documents returned for a given query by considering three sources of evidence namely, the relevance scores w.r.t query of a document neighbours, the text of the anchor links, and the document title tag. Our approach is evaluated on INEX 2006 collection. The results showed significant improvements of the retrieval performances. Read More Read Less

Abstract Backgrounds: The use of Electronic Health Records (EHRs) is not new, but the implementation and provision of their services are. Despite the positive aspects and promising features of EHRs use in medical and healthcare practices, there are many issues that need to be identified and addressed to expedite the adoption rate of EHRs. The objective of the study is to examine major issues which hinder EHR... Backgrounds: The use of Electronic Health Records (EHRs) is not new, but the implementation and provision of their services are. Despite the positive aspects and promising features of EHRs use in medical and healthcare practices, there are many issues that need to be identified and addressed to expedite the adoption rate of EHRs. The objective of the study is to examine major issues which hinder EHR adoption and to present identified solutions. Methods: Thirty-two staff members from five hospitals were surveyed in order to find common problems and obstacles/issues encountered when adopting EHRs. Members of hospital staff were also interviewed in order to pinpoint the possible problems and solutions that management staff of hospitals may encounter. Results: The study identified possible solutions to the four major issues in EHR implementation: 1) implement ontology to ensure interoperability to share medical records among organizations, 2) provide physical, technical and managerial security controls to provide secure access for EHRs, 3) ensure business continuity of uninterrupted access to EHRs using cloud-based EHRs, 4) minimize the digital divide by providing training to users and staff. Conclusions: Consideration of these four major issues indicated in this study will expedite hospitals and various healthcare organizations to implement and provide EHRs. Read More Read Less

Abstract This paper aimed to study intellectual capital as a core competency for competitive advantage at pharmaceutical companies in Jordan. To complete the study, a case study was instituted by analyzing the responses of the pharmaceutical companies; the data collected were analyzed with a statistical package. The study concluded some results, the most appearing were; pharmaceutical companies depend on intellectual capital at a high level, competitive... This paper aimed to study intellectual capital as a core competency for competitive advantage at pharmaceutical companies in Jordan. To complete the study, a case study was instituted by analyzing the responses of the pharmaceutical companies; the data collected were analyzed with a statistical package. The study concluded some results, the most appearing were; pharmaceutical companies depend on intellectual capital at a high level, competitive advantage also high, and there is a significant statistical effect of intellectual capital on competitive advantage as a whole and on all its indicators (leadership, human recourse, innovation, processes, and financial excellence) at (α ≤ 0.00). Researchers recommend pharmaceutical companies management and staff to reinforce using intellectual capital at all levels and functions and use it as a main source for competitive advantage in all its areas. Read More Read Less

Abstract Cloud computing characterizes a methodology for computing communications in a much effective manner, and a business paradigm for trading computing resources and services. Alternatively, these difficult and distributed planning's turn a striking objective for intruders. Cloud computing provides huge latent for enhancing production and decrease expenditures. However it simultaneously acquires several novel security risks. Intrusion Detection Systems (IDS) have been employed broadly for identifying malicious... Cloud computing characterizes a methodology for computing communications in a much effective manner, and a business paradigm for trading computing resources and services. Alternatively, these difficult and distributed planning's turn a striking objective for intruders. Cloud computing provides huge latent for enhancing production and decrease expenditures. However it simultaneously acquires several novel security risks. Intrusion Detection Systems (IDS) have been employed broadly for identifying malicious actions in network communication and hosts. In this work, an artificial bee colony-BP neural network algorithm is applied to the detection module, in order to detect the complicated aggressive behaviors. Through example verification, the artificial bee colony-BP network algorithm has improved intrusion detection efficiency and classification precision, and can effectively guarantee the safety of the cloud computing environment. Read More Read Less