Institution
University of Haifa
Education•Haifa, Israel•
About: University of Haifa is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 7558 authors who have published 27141 publications receiving 711629 citations. The organization is also known as: Haifa University & Universiṭat Ḥefah.
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Christina Fitzmaurice1, Christina Fitzmaurice2, Tomi Akinyemiju3, Faris Lami4 +172 more•Institutions (95)
901 citations
TL;DR: The world atlas of zenith artificial night sky brightness is modelled with VIIRS DNB data and calibrated with new high-resolution satellite data and new precision sky brightness measurements, showing that more than 80% of the world and more than 99%" of the U.S. and European populations live under light-polluted skies.
Abstract: Artificial lights raise night sky luminance, creating the most visible effect of light pollution—artificial skyglow. Despite the increasing interest among scientists in fields such as ecology, astronomy, health care, and land-use planning, light pollution lacks a current quantification of its magnitude on a global scale. To overcome this, we present the world atlas of artificial sky luminance, computed with our light pollution propagation software using new high-resolution satellite data and new precision sky brightness measurements. This atlas shows that more than 80% of the world and more than 99% of the U.S. and European populations live under light-polluted skies. The Milky Way is hidden from more than one-third of humanity, including 60% of Europeans and nearly 80% of North Americans. Moreover, 23% of the world’s land surfaces between 75°N and 60°S, 88% of Europe, and almost half of the United States experience light-polluted nights.
898 citations
Book•
21 Jan 2008TL;DR: In this paper, the authors present a discourse on thinking about (mathematical) thinking and its relation to discourse in the context of mathematical discourse, and discuss how we mathematize and what we do about it.
Abstract: Introduction Part I. Discourse on Thinking: 1. Puzzling about (mathematical) thinking 2. Objectification 3. Commognition: thinking as communicating 4. Thinking in language Part II. Mathematics as Discourse: 5. Mathematics as a form of communication 6. Objects of mathematical discourse: what mathematizing is all about 7. Routines: how we mathematize 8. Explorations, deeds, and rituals: what we mathematize for 9. Looking back and ahead: solving old quandaries and facing new ones.
885 citations
Bradley University1, University of Tartu2, National Institutes of Health3, University of California4, Pontifical Catholic University of Chile5, University of Louisville6, University of Latvia7, Pennsylvania State University8, Slovak Academy of Sciences9, University of San Carlos10, University of Malta11, Ghent University12, Clemson University13, Laval University14, University of Buenos Aires15, Osaka University16, Illinois State University17, National Autonomous University of Mexico18, University of Brasília19, University of Western Australia20, University of Lima21, Boğaziçi University22, University of Kassel23, York University24, University of Queensland25, Åbo Akademi University26, Al Akhawayn University27, University of Hawaii at Manoa28, University of Catania29, University of Otago30, University of Dhaka31, Chemnitz University of Technology32, Knox College33, Comenius University in Bratislava34, University of Rijeka35, University of Malaya36, Vilnius University37, American University of Beirut38, Kwangju Health College39, University of Salzburg40, Utrecht University41, National Computerization Agency42, City University of Hong Kong43, University of Idaho44, University of Zimbabwe45, University of Lisbon46, University of Central Lancashire47, Loyola Marymount University48, University of KwaZulu-Natal49, University of Granada50, University of Botswana51, Babeș-Bolyai University52, University of Cyprus53, University of Belgrade54, KPMG55, University of Montpellier56, University of Zurich57, University of Alabama58, Baylor University59, Queen's University Belfast60, University of Ljubljana61, University of Haifa62, University of La Serena63, Florida Atlantic University64, University of California, Davis65, University of Dar es Salaam66, Ramapo College67, Cyprus College68, Middle East Technical University69, Nicolaus Copernicus University in Toruń70, University of the South Pacific71, Vrije Universiteit Brussel72, University at Albany, SUNY73, University of the Aegean74, University of Lethbridge75, University of Vienna76, University of Hong Kong77, Yuan Ze University78, Charles University in Prague79, Chonnam National University80, Indian Institutes of Technology81
TL;DR: The Big Five Inventory (BFI) is a self-report measure designed to assess the high-order personality traits of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness as discussed by the authors.
Abstract: The Big Five Inventory (BFI) is a self-report measure designed to assess the high-order personality traits of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. As part of the International Sexuality Description Project, the BFI was translated from English into 28 languages and administered to 17,837 individuals from 56 nations. The resulting cross-cultural data set was used to address three main questions: Does the factor structure of the English BFI fully replicate across cultures? How valid are the BFI trait profiles of individual nations? And how are personality traits distributed throughout the world? The five-dimensional structure was robust across major regions of the world. Trait levels were related in predictable ways to self-esteem, sociosexuality, and national personality profiles. People from the geographic regions of South America and East Asia were significantly different in openness from those inhabiting other world regions. The discussion focuses on limitations of t...
876 citations
Christian Fuchsberger1, Christian Fuchsberger2, Jason Flannick3, Jason Flannick4 +346 more•Institutions (77)
TL;DR: In this paper, the authors performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing for 12,940 individuals from five ancestry groups.
Abstract: The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.
866 citations
Authors
Showing all 7747 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Markku Laakso | 162 | 945 | 142292 |
| M.-Marsel Mesulam | 150 | 558 | 90772 |
| Michael Levin | 111 | 986 | 45667 |
| Peter Schmidt | 105 | 638 | 61822 |
| Eviatar Nevo | 95 | 848 | 40066 |
| Uri Alon | 91 | 442 | 54822 |
| Dan Roth | 85 | 523 | 28166 |
| Simon G. Potts | 82 | 249 | 31557 |
| Russell G. Foster | 79 | 318 | 23206 |
| Leo Radom | 79 | 604 | 34075 |
| Stevan E. Hobfoll | 74 | 271 | 35870 |
| Larry Davidson | 69 | 459 | 20177 |
| Alan R. Templeton | 67 | 249 | 28320 |
| Uri Gneezy | 65 | 211 | 29671 |
| Benny Pinkas | 64 | 156 | 21122 |