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Institution

American University of Sharjah

EducationSharjah city, United Arab Emirates
About: American University of Sharjah is a education organization based out in Sharjah city, United Arab Emirates. It is known for research contribution in the topics: Context (language use) & Computer science. The organization has 2077 authors who have published 5218 publications receiving 87130 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, a review of membrane characteristics, membrane-related heat and mass transfer concepts, fouling and the effects of operating condition is presented, as well as state-of-the-art research results in these different areas are discussed.

1,973 citations

Journal ArticleDOI
TL;DR: A comprehensive review of fuel cell science and engineering with a focus on hydrogen fuel cells is provided in this article, where the most current data from industry and academia have been used with the relation between fuel cell fundamentals and applications highlighted throughout the manuscript.
Abstract: This paper provides a comprehensive review of fuel cell science and engineering with a focus on hydrogen fuel cells. The paper provides a concise, up-to-date review of fuel cell fundamentals; history; competing technologies; types; advantages and challenges; portable, stationary, and transportation applications and markets; current status of research-and-development; future targets; design levels; thermodynamic and electrochemical principles; system evaluation factors; and prospects and outlook. The most current data from industry and academia have been used with the relation between fuel cell fundamentals and applications highlighted throughout the manuscript.

1,238 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, M. R. Abernathy3  +719 moreInstitutions (86)
Abstract: The second-generation of gravitational-wave detectors are just starting operation, and have already yielding their first detections. Research is now concentrated on how to maximize the scientific potential of gravitational-wave astronomy. To support this effort, we present here design targets for a new generation of detectors, which will be capable of observing compact binary sources with high signal-to-noise ratio throughout the Universe.

796 citations

Journal ArticleDOI
TL;DR: The results show that IS service quality is the most influential variable in this model (followed by information quality and system quality, thus highlighting the importance of IS servicequality for organizational performance), and the structural equation model exhibits a good fit with the observed data.
Abstract: Increased organizational dependence on information systems drives management attention towards improving information systems' quality. A recent survey shows that ''Improve IT quality'' is one of the top concerns facing IT executives. As IT quality is a multidimensional measure, it is important to determine what aspects of IT quality are critical to organizations to help Chief Information Officers (CIOs) to devise effective IT quality improvement strategies. In this research, we model the relationship between information systems' (IS) quality and organizational impact. We hypothesize greater organizational impact in situations in which system quality, information quality and service quality are high. We also hypothesize a positive relationship between system quality and information quality. We test our hypotheses using survey data. Our structural equation model exhibits a good fit with the observed data. Our results show that IS service quality is the most influential variable in this model (followed by information quality and system quality), thus highlighting the importance of IS service quality for organizational performance. This paper contributes theoretically to IS success models through the system quality-to-information quality and IS quality-to-organizational impact links. Implications of our results for practice and research are discussed.

767 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Matthew Abernathy1  +961 moreInstitutions (100)
TL;DR: The discovery of the GW150914 with the Advanced LIGO detectors provides the first observational evidence for the existence of binary black-hole systems that inspiral and merge within the age of the Universe as mentioned in this paper.
Abstract: The discovery of the gravitational-wave source GW150914 with the Advanced LIGO detectors provides the first observational evidence for the existence of binary black-hole systems that inspiral and merge within the age of the Universe. Such black-hole mergers have been predicted in two main types of formation models, involving isolated binaries in galactic fields or dynamical interactions in young and old dense stellar environments. The measured masses robustly demonstrate that relatively "heavy" black holes (≳25M⊙) can form in nature. This discovery implies relatively weak massive-star winds and thus the formation of GW150914 in an environment with metallicity lower than ∼1/2 of the solar value. The rate of binary black-hole mergers inferred from the observation of GW150914 is consistent with the higher end of rate predictions (≳1Gpc−3yr−1) from both types of formation models. The low measured redshift (z∼0.1) of GW150914 and the low inferred metallicity of the stellar progenitor imply either binary black-hole formation in a low-mass galaxy in the local Universe and a prompt merger, or formation at high redshift with a time delay between formation and merger of several Gyr. This discovery motivates further studies of binary-black-hole formation astrophysics. It also has implications for future detections and studies by Advanced LIGO and Advanced Virgo, and gravitational-wave detectors in space.

742 citations


Authors

Showing all 2110 results

NameH-indexPapersCitations
Gregory M. Harry9122556762
Nitish V. Thakor7796125636
Hani S. Mahmassani7561020000
Nicolas Kalogerakis5921111320
M. R. Abernathy557715764
Juan M Sanchez522789422
Stephen G. Davies5265712173
Wei Zhao5239011627
Philip Molyneux4921214458
Rashid A. Ganeev464697220
Björn Kjerfve451459012
Naveed Ahmed Khan433387911
Muhammad Qasim423967145
Angela J. Russell381373856
Narjess Boubakri381185969
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
202265
2021491
2020471
2019388
2018329