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Institution

National Autonomous University of Mexico

EducationMexico City, Distrito Federal, Mexico
About: National Autonomous University of Mexico is a education organization based out in Mexico City, Distrito Federal, Mexico. It is known for research contribution in the topics: Population & Galaxy. The organization has 72868 authors who have published 127797 publications receiving 2285543 citations. The organization is also known as: UNAM & Universidad Nacional Autónoma de México.


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Journal ArticleDOI
Daniel Conroy-Beam1, David M. Buss2, Kelly Asao2, Agnieszka Sorokowska3, Agnieszka Sorokowska4, Piotr Sorokowski3, Toivo Aavik5, Grace Akello6, Mohammad Madallh Alhabahba7, Charlotte Alm8, Naumana Amjad9, Afifa Anjum9, Chiemezie S. Atama10, Derya Atamtürk Duyar11, Richard Ayebare, Carlota Batres12, Mons Bendixen13, Aicha Bensafia14, Boris Bizumic15, Mahmoud Boussena14, Marina Butovskaya16, Marina Butovskaya17, Seda Can18, Katarzyna Cantarero19, Antonin Carrier20, Hakan Cetinkaya21, Ilona Croy4, Rosa María Cueto22, Marcin Czub3, Daria Dronova17, Seda Dural18, İzzet Duyar11, Berna Ertuğrul23, Agustín Espinosa22, Ignacio Estevan24, Carla Sofia Esteves25, Luxi Fang26, Tomasz Frackowiak3, Jorge Contreras Garduño27, Karina Ugalde González, Farida Guemaz, Petra Gyuris28, Mária Halamová29, Iskra Herak20, Marina Horvat30, Ivana Hromatko31, Chin Ming Hui26, Jas Laile Suzana Binti Jaafar32, Feng Jiang33, Konstantinos Kafetsios34, Tina Kavčič35, Leif Edward Ottesen Kennair13, Nicolas Kervyn20, Truong Thi Khanh Ha19, Imran Ahmed Khilji36, Nils C. Köbis37, Hoang Moc Lan19, András Láng28, Georgina R. Lennard15, Ernesto León22, Torun Lindholm8, Trinh Thi Linh19, Giulia Lopez38, Nguyen Van Luot19, Alvaro Mailhos24, Zoi Manesi39, Rocio Martinez40, Sarah L. McKerchar15, Norbert Meskó28, Girishwar Misra41, Conal Monaghan15, Emanuel C. Mora42, Alba Moya-Garófano40, Bojan Musil30, Jean Carlos Natividade43, Agnieszka Niemczyk3, George Nizharadze, Elisabeth Oberzaucher44, Anna Oleszkiewicz3, Anna Oleszkiewicz4, Mohd Sofian Omar-Fauzee45, Ike E. Onyishi10, Barış Özener11, Ariela Francesca Pagani38, Vilmante Pakalniskiene46, Miriam Parise38, Farid Pazhoohi47, Annette Pisanski42, Katarzyna Pisanski48, Katarzyna Pisanski3, Edna Lúcia Tinoco Ponciano, Camelia Popa49, Pavol Prokop50, Pavol Prokop51, Muhammad Rizwan, Mario Sainz52, Svjetlana Salkičević31, Ruta Sargautyte46, Ivan Sarmány-Schuller53, Susanne Schmehl44, Shivantika Sharad41, Razi Sultan Siddiqui54, Franco Simonetti55, Stanislava Stoyanova56, Meri Tadinac31, Marco Antonio Correa Varella57, Christin-Melanie Vauclair25, Luis Diego Vega, Dwi Ajeng Widarini, Gyesook Yoo58, Marta Zaťková29, Maja Zupančič59 
University of California, Santa Barbara1, University of Texas at Austin2, University of Wrocław3, Dresden University of Technology4, University of Tartu5, Gulu University6, Middle East University7, Stockholm University8, University of the Punjab9, University of Nigeria, Nsukka10, Istanbul University11, Franklin & Marshall College12, Norwegian University of Science and Technology13, University of Algiers14, Australian National University15, Russian State University for the Humanities16, Russian Academy of Sciences17, İzmir University of Economics18, University of Social Sciences and Humanities19, Université catholique de Louvain20, Ankara University21, Pontifical Catholic University of Peru22, Cumhuriyet University23, University of the Republic24, ISCTE – University Institute of Lisbon25, The Chinese University of Hong Kong26, National Autonomous University of Mexico27, University of Pécs28, University of Constantine the Philosopher29, University of Maribor30, University of Zagreb31, University of Malaya32, Central University of Finance and Economics33, University of Crete34, University of Primorska35, Institute of Molecular and Cell Biology36, University of Amsterdam37, Catholic University of the Sacred Heart38, VU University Amsterdam39, University of Granada40, University of Delhi41, University of Havana42, Pontifical Catholic University of Rio de Janeiro43, University of Vienna44, Universiti Utara Malaysia45, Vilnius University46, University of British Columbia47, University of Sussex48, Romanian Academy49, Comenius University in Bratislava50, Slovak Academy of Sciences51, University of Monterrey52, SAS Institute53, DHA Suffa University54, Pontifical Catholic University of Chile55, South-West University "Neofit Rilski"56, University of São Paulo57, Kyung Hee University58, University of Ljubljana59
TL;DR: This work combines this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets and finds that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.
Abstract: Humans express a wide array of ideal mate preferences. Around the world, people desire romantic partners who are intelligent, healthy, kind, physically attractive, wealthy, and more. In order for these ideal preferences to guide the choice of actual romantic partners, human mating psychology must possess a means to integrate information across these many preference dimensions into summaries of the overall mate value of their potential mates. Here we explore the computational design of this mate preference integration process using a large sample of n = 14,487 people from 45 countries around the world. We combine this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets. Across cultures, people higher in mate value appear to experience greater power of choice on the mating market in that they set higher ideal standards, better fulfill their preferences in choice, and pair with higher mate value partners. Furthermore, we find that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.

1,827 citations

Journal ArticleDOI
TL;DR: The recent development of defined mutagenesis systems for Leptospira heralds the potential for gaining a much improved understanding of pathogenesis in leptospirosis, and shows promise for the development of vaccines based on defined protective antigens.

1,764 citations

Journal ArticleDOI
TL;DR: The potential of plants with the capacity to accumulate or to stabilize Cr compounds for bioremediation of Cr contamination has gained interest in recent years.

1,752 citations

Journal ArticleDOI
TL;DR: This work analyzed a global database of directly harvested trees at 58 sites, spanning a wide range of climatic conditions and vegetation types, and found a pantropical model incorporating wood density, trunk diameter, and the variable E outperformed previously published models without height.
Abstract: Terrestrial carbon stock mapping is important for the successful implementation of climate change mitigation policies. Its accuracy depends on the availability of reliable allometric models to infer oven-dry aboveground biomass of trees from census data. The degree of uncertainty associated with previously published pantropical aboveground biomass allometries is large. We analyzed a global database of directly harvested trees at 58 sites, spanning a wide range of climatic conditions and vegetation types (4004 trees ≥ 5 cm trunk diameter). When trunk diameter, total tree height, and wood specific gravity were included in the aboveground biomass model as covariates, a single model was found to hold across tropical vegetation types, with no detectable effect of region or environmental factors. The mean percent bias and variance of this model was only slightly higher than that of locally fitted models. Wood specific gravity was an important predictor of aboveground biomass, especially when including a much broader range of vegetation types than previous studies. The generic tree diameter-height relationship depended linearly on a bioclimatic stress variable E, which compounds indices of temperature variability, precipitation variability, and drought intensity. For cases in which total tree height is unavailable for aboveground biomass estimation, a pantropical model incorporating wood density, trunk diameter, and the variable E outperformed previously published models without height. However, to minimize bias, the development of locally derived diameter-height relationships is advised whenever possible. Both new allometric models should contribute to improve the accuracy of biomass assessment protocols in tropical vegetation types, and to advancing our understanding of architectural and evolutionary constraints on woody plant development.

1,750 citations

Journal ArticleDOI
10 Dec 2010-Science
TL;DR: Scenarios consistently indicate that biodiversity will continue to decline over the 21st century, however, the range of projected changes is much broader than most studies suggest, partly because there are major opportunities to intervene through better policies, but also because of large uncertainties in projections.
Abstract: Quantitative scenarios are coming of age as a tool for evaluating the impact of future socioeconomic development pathways on biodiversity and ecosystem services. We analyze global terrestrial, freshwater, and marine biodiversity scenarios using a range of measures including extinctions, changes in species abundance, habitat loss, and distribution shifts, as well as comparing model projections to observations. Scenarios consistently indicate that biodiversity will continue to decline over the 21st century. However, the range of projected changes is much broader than most studies suggest, partly because there are major opportunities to intervene through better policies, but also because of large uncertainties in projections.

1,725 citations


Authors

Showing all 73617 results

NameH-indexPapersCitations
Richard Peto183683231434
Anton M. Koekemoer1681127106796
Rory Collins162489193407
Timothy C. Beers156934102581
Vivek Sharma1503030136228
Kjell Fuxe142147989846
Prashant V. Kamat14072579259
Carmen García139150396925
Harold A. Mooney135450100404
Efe Yazgan12898679041
Roberto Maiolino12781661724
Peter Nugent12775492988
William R. Miller12560172570
Nicholas A. Kotov12357455210
John C. Wingfield12250952291
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023311
2022967
20217,481
20207,906
20197,107