University of Jordan

About: University of Jordan is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Medicine. The organization has 7796 authors who have published 13764 publications receiving 213526 citations.

Late Neoproterozoic A-type granites in the northernmost Arabian-Nubian Shield formed by fractionation of basaltic melts

Abstract: Geochemical, isotopic and age constraints support a comagmatic origin for Ghuweir Mafics and the Feinan A-type granites. The two rocks types, named collectively in this paper as the Feinan Ghuweir Magmatic Suite (FGMS), formed between 556 and 572 Ma ago according to Rb–Sr whole-rock dating. FGMS has low Sr initial ratios, which preclude a significant contribution of much older crust in the magma genesis. The FGMS has a wide range of silica contents, with a gap at 55–65 wt% SiO2. It has a transalkaline to alkaline character; belongs to the medium to high K calc-alkaline series; it ranges from metaluminous to mildly peraluminous character and belongs to the alkali and alkali-calcic series. The Feinan granites and the Ghuweir rhyolites and rhyodacites are classified as A-type granites and belong to group A2 of Eby [Eby, N.G., 1992. Chemical subdivision of the A-type granitoids: petrogenetic and tectonic iplications. Geology 20, 641–644]. According to geochemical modeling the Ghuweir Mafics were derived from a subduction modified lithospheric mantle by 10% batch modal partial melting of a phlogopite-bearing spinel lherzolite. The intra-suite geochemical variations can be ascribed to fractional crystallization of olivine, pyroxene, and plagioclase. The accumulation of apatite in the most evolved samples is responsible for the high concentrations of REE. The Feinan granites and the Ghuweir rhyolites and rhyodacites were derived from the mafic magma by the fractional crystallization of ≈78% of the original magma to the mineral assemblage olivine+pyroxene+plagioclase+magnetite. The intra-suite geochemical variations in the Feinan A-type granites are due to the fractional crystallization of the mineral phases: amphibole +Na and K-feldspar+apatite +magnetite+zircon+allanite. The FGMS correlates with time-equivalent rocks in many parts of the Arabian-Nubian Shield and the surrounding areas.

Nursing students' perceptions of nursing: a descriptive study of four cohorts.

Abstract: SAFADI R.R., SALEH M.Y.N., NASSAR O.S., AMRE H.M. & FROELICHER E.S. (2011) Nursing students' perceptions of nursing: a descriptive study of four cohorts. International Nursing Review58, 420–427 Aims: The study aims to describe nursing students' changing perception of nursing over 4 years of the nursing programme and examine whether perception differed by gender, previous study or choice of nursing education. Methods: A descriptive cross-sectional design was used, with a probability sample of 606 students. Respondents were a random sample of 50% of each of the four educational cohorts studying within the academic year 2008–2009 in one baccalaureate nursing programme at a Jordanian public university. A specifically designed tool of statements of nursing definitions based on nursing theories, the nursing literature and sociocultural beliefs was used to identify student nurses' perception of nursing. Findings: Student perceptions changed from lay altruistic beliefs of nursing to theoretical medical technological views of the profession denoting a theory–practice gap. Perceptions also differed by gender, having a previous associate degree in nursing and a priority choice to study nursing. Conclusion: Such results delineated the importance of revising nursing schools' curricula and the universities' admission policies into the nursing profession.

The validity and reliability of the Arabic version of the EQ-5D: a study from Jordan.

Abstract: BACKGROUND AND OBJECTIVES: EQ-5D is a generic measure that permits comparisons in quality of life across disease states, and which may provide useful data for health policy and resource allocation ...

An adaptive task allocation technique for green cloud computing

Abstract: The rapid growth of todays IT demands reflects the increased use of cloud data centers. Reducing computational power consumption in cloud data center is one of the challenging research issues in the current era. Power consumption is directly proportional to a number of resources assigned to tasks. So, the power consumption can be reduced by a demotivating number of resources assigned to serve the task. In this paper, we have studied the energy consumption in cloud environment based on varieties of services and achieved the provisions to promote green cloud computing. This will help to preserve overall energy consumption of the system. Task allocation in the cloud computing environment is a well-known problem, and through this problem, we can facilitate green cloud computing. We have proposed an adaptive task allocation algorithm for the heterogeneous cloud environment. We applied the proposed technique to minimize the makespan of the cloud system and reduce the energy consumption. We have evaluated the proposed algorithm in CloudSim simulation environment, and simulation results show that our proposed algorithm is energy efficient in cloud environment compared to other existing techniques.