Institution
Simón Bolívar University
Education•Caracas, Venezuela•
About: Simón Bolívar University is a education organization based out in Caracas, Venezuela. It is known for research contribution in the topics: Population & Crystallization. The organization has 5912 authors who have published 8294 publications receiving 126152 citations.
Topics: Population, Crystallization, Nucleation, Differential scanning calorimetry, Context (language use)
Papers published on a yearly basis
Papers
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Macquarie University1, University of Minnesota2, Stanford University3, Simón Bolívar University4, Wageningen University and Research Centre5, Smithsonian Environmental Research Center6, University of Alaska Fairbanks7, VU University Amsterdam8, University of Zurich9, Centre national de la recherche scientifique10, Curtin University11, Tohoku University12, University of Wisconsin–Eau Claire13, Landcare Research14, University of Concepción15, University of Cape Town16, University of Tartu17, Polish Academy of Sciences18, University of Tokyo19, Utrecht University20, University of Western Australia21, Charles Darwin University22, Ural State University23, University of Toronto24, Texas A&M University25, University of Córdoba (Spain)26
TL;DR: Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
Abstract: Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first time at global scale, a universal spectrum of leaf economics consisting of key chemical, structural and physiological properties. The spectrum runs from quick to slow return on investments of nutrients and dry mass in leaves, and operates largely independently of growth form, plant functional type or biome. Categories along the spectrum would, in general, describe leaf economic variation at the global scale better than plant functional types, because functional types overlap substantially in their leaf traits. Overall, modulation of leaf traits and trait relationships by climate is surprisingly modest, although some striking and significant patterns can be seen. Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
6,360 citations
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TL;DR: The theory of the potentiostatic current transient for three-dimensional multiple nucleation with diffusion controlled growth is discussed in this paper, where the termination of the nucleation process by the expansion of diffusion fields is considered, as well as deviations from randomness observed in the distribution of nuclei on the electrode surface.
1,629 citations
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TL;DR: The data showed that abuse of the elderly is prevalent and addressing low social support with preventive interventions could have significant public health implications.
Abstract: Objectives. We estimated prevalence and assessed correlates of emotional, physical, sexual, and financial mistreatment and potential neglect (defined as an identified need for assistance that no one was actively addressing) of adults aged 60 years or older in a randomly selected national sample.Methods. We compiled a representative sample by random digit dialing across geographic strata. We used computer-assisted telephone interviewing to standardize collection of demographic, risk factor, and mistreatment data. We subjected prevalence estimates and mistreatment correlates to logistic regression.Results. We analyzed data from 5777 respondents. One-year prevalence was 4.6% for emotional abuse, 1.6% for physical abuse, 0.6% for sexual abuse, 5.1% for potential neglect, and 5.2% for current financial abuse by a family member. One in 10 respondents reported emotional, physical, or sexual mistreatment or potential neglect in the past year. The most consistent correlates of mistreatment across abuse types were ...
1,086 citations
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TL;DR: This article introduces a new criterion called the intrinsic Bayes factor, which is fully automatic in the sense of requiring only standard noninformative priors for its computation and yet seems to correspond to very reasonable actual Bayes factors.
Abstract: In the Bayesian approach to model selection or hypothesis testing with models or hypotheses of differing dimensions, it is typically not possible to utilize standard noninformative (or default) prior distributions. This has led Bayesians to use conventional proper prior distributions or crude approximations to Bayes factors. In this article we introduce a new criterion called the intrinsic Bayes factor, which is fully automatic in the sense of requiring only standard noninformative priors for its computation and yet seems to correspond to very reasonable actual Bayes factors. The criterion can be used for nested or nonnested models and for multiple model comparison and prediction. From another perspective, the development suggests a general definition of a “reference prior” for model comparison.
993 citations
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National University of Cordoba1, Leipzig University2, Helmholtz Centre for Environmental Research - UFZ3, Indiana University4, United Nations5, University of the West Indies6, Karlsruhe Institute of Technology7, National Autonomous University of Mexico8, University of Minnesota9, BirdLife International10, University of Cambridge11, University of British Columbia12, National University of Río Negro13, National Institute for Environmental Studies14, Chiba University15, Michigan State University16, United Nations University17, International Institute of Minnesota18, Stellenbosch University19, Commonwealth Scientific and Industrial Research Organisation20, Simón Bolívar University21, Hungarian Academy of Sciences22, University of Queensland23, Duke University24, Imperial College London25, Natural History Museum26, University of the West of England27, Stockholm University28, Clark University29, IFREMER30, University of Cape Town31, George Mason University32, Radboud University Nijmegen33, Royal Botanic Gardens34, University of Oxford35, University of the Philippines Diliman36
TL;DR: The first integrated global-scale intergovernmental assessment of the status, trends, and future of the links between people and nature provides an unprecedented picture of the extent of the authors' mutual dependence, the breadth and depth of the ongoing and impending crisis, and the interconnectedness among sectors and regions.
Abstract: The human impact on life on Earth has increased sharply since the 1970s, driven by the demands of a growing population with rising average per capita income. Nature is currently supplying more materials than ever before, but this has come at the high cost of unprecedented global declines in the extent and integrity of ecosystems, distinctness of local ecological communities, abundance and number of wild species, and the number of local domesticated varieties. Such changes reduce vital benefits that people receive from nature and threaten the quality of life of future generations. Both the benefits of an expanding economy and the costs of reducing nature's benefits are unequally distributed. The fabric of life on which we all depend-nature and its contributions to people-is unravelling rapidly. Despite the severity of the threats and lack of enough progress in tackling them to date, opportunities exist to change future trajectories through transformative action. Such action must begin immediately, however, and address the root economic, social, and technological causes of nature's deterioration.
913 citations
Authors
Showing all 5925 results
Name | H-index | Papers | Citations |
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Franco Nori | 114 | 1117 | 63808 |
Ignacio Rodriguez-Iturbe | 96 | 334 | 32283 |
Ian W. Hamley | 78 | 469 | 25800 |
Francisco Zaera | 73 | 432 | 19907 |
Thomas G. Habetler | 73 | 395 | 20725 |
Douglas L. Jones | 70 | 512 | 21596 |
I. Taboada | 66 | 346 | 13528 |
Enrique Herrero | 64 | 242 | 11653 |
Rudi Studer | 60 | 268 | 19876 |
Alejandro J. Müller | 58 | 420 | 12410 |
David Padua | 58 | 243 | 11155 |
Rudolf Jaffé | 58 | 182 | 10268 |
Luis Balicas | 57 | 328 | 14114 |
Volker Abetz | 55 | 386 | 11583 |
Ananias A. Escalante | 51 | 160 | 8866 |