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Institution

Applied Science Private University

EducationAmman, Jordan
About: Applied Science Private University is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Catalysis & Population. The organization has 4124 authors who have published 5299 publications receiving 116167 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the performance of chelated Fe(II)-based catalyzed sodium percarbonate (SPC) stimulating the degradation of perchloroethylene (PCE) in aqueous solution was investigated using six different chelating agents (CA), namely, citric acid monohydrate (CIT), oxalic acid (OA), l -ascorbic acid(ASC), ethylenediaminetetraacetic acid (EDTA), trisodium citrate 2-hydrate, and EDTA-Na3, at CA/Fe(

75 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented a novel numerical method for simulating the fluid-structure interaction (FSI) problems when blood flows over aortic valves using the immersed boundary/element method and the smoothed finite element method.
Abstract: This paper presents a novel numerical method for simulating the fluid---structure interaction (FSI) problems when blood flows over aortic valves. The method uses the immersed boundary/element method and the smoothed finite element method and hence it is termed as IS-FEM. The IS-FEM is a partitioned approach and does not need a body-fitted mesh for FSI simulations. It consists of three main modules: the fluid solver, the solid solver and the FSI force solver. In this work, the blood is modeled as incompressible viscous flow and solved using the characteristic-based-split scheme with FEM for spacial discretization. The leaflets of the aortic valve are modeled as Mooney-Rivlin hyperelastic materials and solved using smoothed finite element method (or S-FEM). The FSI force is calculated on the Lagrangian fictitious fluid mesh that is identical to the moving solid mesh. The octree search and neighbor-to-neighbor schemes are used to detect efficiently the FSI pairs of fluid and solid cells. As an example, a 3D idealized model of aortic valve is modeled, and the opening process of the valve is simulated using the proposed IS-FEM. Numerical results indicate that the IS-FEM can serve as an efficient tool in the study of aortic valve dynamics to reveal the details of stresses in the aortic valves, the flow velocities in the blood, and the shear forces on the interfaces. This tool can also be applied to animal models studying disease processes and may ultimately translate to a new adaptive methods working with magnetic resonance images, leading to improvements on diagnostic and prognostic paradigms, as well as surgical planning, in the care of patients.

75 citations

Journal ArticleDOI
TL;DR: While increasing age is the strongest single predictor of increasing falls risk, poorer physical functionality was strongly, independently related to greater falls risk.
Abstract: Ageing-related declines in physiological attributes, such as muscle strength, can bring with them an increased risk of falls and subsequently greater risk of losing independence. These declines have substantial impact on an individual's functional ability. However, the precise relationship between falls risk and physical functionality has not been evaluated. The aims of this study were to determine the association between falls risk and physical functionality using objective measures and to create an appropriate model to explain variance in falls risk. Thirty-two independently living adults aged 65–92 years completed the FallScreen, the Continuous-Scale Physical Functional Performance 10 (CS-PFP10) tests, and the 12-Item Short-Form Health Survey (SF-12). The relationships between falls risk, physical functionality, and age were investigated using correlational and multiple hierarchical regression analyses. Overall, total physical functionality accounted for 24% of variance in an individual's falls risk while age explained a further 13%. The oldest-old age group had significantly greater falls risk and significantly lower physical functional performance. Mean scores for all measures showed that there were substantial (but not significant) differences between males and females. While increasing age is the strongest single predictor of increasing falls risk, poorer physical functionality was strongly, independently related to greater falls risk.

75 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of partial substitution of Fe, Co, and Ni for Mn in Mn-HCF on the SIB rate and cycle performance were investigated and the enhancement of the rate performance was attributed to the suppression of the Jahn-Teller distortion of Mn3+ and the resultant activation of the Mn reduction reaction.

75 citations

Journal ArticleDOI
21 Jun 2018-ACS Nano
TL;DR: A compact nanovaccine derived from a near whole antigen and prophylactically protected 70% of mice from tumorigenesis in murine B16-OVA melanoma and can be adapted for the future design of vaccine for a minimalist composition in clinical settings.
Abstract: One of the major challenges in vaccine design has been the over dependence on incorporation of abundant adjuvants, which in fact is in violation of the “minimalist” principle. In the present study, a compact nanovaccine derived from a near whole antigen (up to 97 wt %) was developed. The nanovaccine structure was stabilized by free cysteines within each antigen (ovalbumin, OVA), which were tempospatially exposed and heat-driven to form an extensive intermolecular disulfide network. This process enables the engineering of a nanovaccine upon integration of the danger signal (CpG-SH) into the network during the synthetic process. The 50 nm-sized nanovaccine was developed comprising approximately 500 antigen molecules per nanoparticle. The nanovaccine prophylactically protected 70% of mice from tumorigenesis (0% for the control group) in murine B16-OVA melanoma. Significant tumor inhibition was achieved by strongly nanovaccine-induced cytotoxic T lymphocytes. This strategy can be adapted for the future design...

75 citations


Authors

Showing all 4150 results

NameH-indexPapersCitations
Hua Zhang1631503116769
Menachem Elimelech15754795285
Yu Huang136149289209
Dmitri Golberg129102461788
Andrea Carlo Marini123123672959
Dionysios D. Dionysiou11667548449
Liyuan Han11476665277
Shunichi Fukuzumi111125652764
John A. Stankovic10955951329
Judea Pearl10751283978
Feng Wang107113664644
O. C. Zienkiewicz10745571204
Jeffrey I. Zink9950942667
Kazuhiro Hono9887833534
Robert W. Boyd98116137321
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202255
2021599
2020473
2019404
2018355