Institution
Qatar Foundation
Nonprofit•Doha, Qatar•
About: Qatar Foundation is a nonprofit organization based out in Doha, Qatar. It is known for research contribution in the topics: Population & Planetary system. The organization has 859 authors who have published 1339 publications receiving 30841 citations. The organization is also known as: Qatar Foundation for Education, Science and Community Development.
Papers published on a yearly basis
Papers
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Institute for Health Metrics and Evaluation1, University of Washington2, University College London3, Qatar Foundation4, Mashhad University of Medical Sciences5, University of Otago6, Queen Elizabeth Hospital Birmingham7, University of Melbourne8, Johns Hopkins Bayview Medical Center9, Burnet Institute10, Universiti Sains Malaysia11, George Mason University12, Dartmouth College13, Tehran University of Medical Sciences14, University of California, San Diego15, University of Bristol16, University of Texas Southwestern Medical Center17, Environment Agency18, University of Chicago19, Erasmus University Rotterdam20, Case Western Reserve University21, Cancer Treatment Centers of America22, Bayer23, Tufts Medical Center24, Stanford University25, National Research University – Higher School of Economics26, Centers for Disease Control and Prevention27, Jackson State University28, Wuhan University29, Mansoura University30, Imperial College London31
TL;DR: The enormous health loss attributable to viral hepatitis, and the availability of effective vaccines and treatments, suggests an important opportunity to improve public health.
1,081 citations
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TL;DR: In this article, the use of carbon nanotubes (CNTs), member of the fullerene structural family, is considered with special focus on the removal of heavy metals from water (lead, chromium, cadmium, arsenic, copper, zinc and nickel).
946 citations
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01 Jun 2016
TL;DR: The SemEval-2016 Task 4 comprises five subtasks, three of which represent a significant departure from previous editions. as mentioned in this paper discusses the fourth year of the Sentiment Analysis in Twitter Task and discusses the three new subtasks focus on two variants of the basic sentiment classification in Twitter task.
Abstract: This paper discusses the fourth year of the ”Sentiment Analysis in Twitter Task”. SemEval-2016 Task 4 comprises five subtasks, three of which represent a significant departure from previous editions. The first two subtasks are reruns from prior years and ask to predict the overall sentiment, and the sentiment towards a topic in a tweet. The three new subtasks focus on two variants of the basic “sentiment classification in Twitter” task. The first variant adopts a five-point scale, which confers an ordinal character to the classification task. The second variant focuses on the correct estimation of the prevalence of each class of interest, a task which has been called quantification in the supervised learning literature. The task continues to be very popular, attracting a total of 43 teams.
702 citations
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TL;DR: Graphene, a single, one-atom-thick sheet of carbon atoms arranged in a honeycomb lattice and the two-dimensional building block for carbon materials, has attracted great interest for a wide range of applications as discussed by the authors.
Abstract: Graphene, a single, one-atom-thick sheet of carbon atoms arranged in a honeycomb lattice and the two-dimensional building block for carbon materials, has attracted great interest for a wide range of applications. Due to its superior properties such as thermo-electric conduction, surface area and mechanical strength, graphene materials have inspired huge interest in sensing of various chemical species. In this timely review, we discuss the recent advancement in the field of graphene based gas sensors with emphasis on the use of modified graphene materials. Further, insights of theoretical and experimental aspects associated with such systems are also discussed with significance on the sensitivity and selectivity of graphene towards various gas molecules. The first section introduces graphene, its synthesis methods and its physico-chemical properties. The second part focuses on the theoretical approaches that discuss the structural improvisations of graphene for its effective use as gas sensing materials. The third section discusses the applications of pristine and modified graphene materials in gas sensing applications. Various graphene modification methods are discussed including using dopants and defects, decoration with metal/metal oxide nanoparticles, and functionalization with polymers. Finally, a discussion on the future challenges and perspectives of this enticing field of graphene sensors for gas detection is provided.
678 citations
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TL;DR: There has been an explosive increase in the number of markers thought to be associated with prognosis and treatment outcome in this disease, and this Review attempts to summarize the sometimes confusing findings, and critically assess those markers already in the public domain.
Abstract: Despite many studies of the likely survival outcome of individual patients with colorectal cancer, our knowledge of this subject remains poor. Until recently, we had virtually no understanding of individual responses to therapy, but the discovery of the KRAS mutation as a marker of probable failure of epidermal growth factor receptor (EGFR)-targeted therapy is a first step in the tailoring of treatment to the individual. With the application of molecular analyses, as well as the ability to perform high-throughput screens, there has been an explosive increase in the number of markers thought to be associated with prognosis and treatment outcome in this disease. In this Review, we attempt to summarize the sometimes confusing findings, and critically assess those markers already in the public domain.
660 citations
Authors
Showing all 869 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yury Gogotsi | 171 | 956 | 144520 |
Joseph P. Vacanti | 119 | 441 | 50739 |
Othmane Bouhali | 113 | 1060 | 66738 |
Magdi H. Yacoub | 109 | 1267 | 52431 |
Mohamed-Slim Alouini | 96 | 1788 | 62290 |
David J. Kerr | 95 | 544 | 39408 |
Steven C. Hunt | 95 | 440 | 41580 |
Muhammad Shahbaz | 92 | 1001 | 34170 |
Martin J. Blunt | 89 | 485 | 29225 |
Yi Li | 86 | 882 | 33629 |
N. Vilchez | 83 | 133 | 25834 |
Stephen Scott | 82 | 512 | 21842 |
Rayaz A. Malik | 75 | 531 | 23875 |
Nasir Memon | 73 | 392 | 19189 |
Nidal Hilal | 72 | 395 | 21524 |