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, Context (language use), Nucleation, Differential scanning calorimetry
Papers published on a yearly basis
Papers
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TL;DR: The effects of noise in the model for continuous opinion dynamics, where individuals are given the opportunity to change spontaneously their opinion to another one selected randomly inside the opinion space with different rules, is studied.
Abstract: In the model for continuous opinion dynamics introduced by Hegselmann and Krause, each
individual moves to the average opinion of all individuals within an area of confidence.
In this work we study the effects of noise in this system. With certain probability,
individuals are given the opportunity to change spontaneously their opinion to another one
selected randomly inside the opinion space with different rules. If the random jump does
not occur, individuals interact through the Hegselmann-Krause’s rule. We analyze two
cases, one where individuals can carry out opinion random jumps inside the whole opinion
space, and other where they are allowed to perform jumps just inside a small interval
centered around the current opinion. We found that these opinion random jumps change the
model behavior inducing interesting phenomena. Using pattern formation techniques, we
obtain approximate analytical results for critical conditions of opinion cluster
formation. Finally, we compare the results of this work with the noisy version of the
Deffuant et al. model [G. Deffuant, D. Neu, F. Amblard, G. Weisbuch, Adv. Compl. Syst.
3, 87 (2000)] for continuous-opinion dynamics.
93 citations
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01 Aug 1996TL;DR: The authors developed a qualitative model of decision making with two aims: to describe how people make simple decisions and to enable computer programs to do the same. But their model is no substitute for Decision Theory, yet for decisions that people find easy to explain it may provide an appealing alternative.
Abstract: We develop a qualitative model of decision making with two aims: to describe how people make simple decisions and to enable computer programs to do the same. Current approaches based on Planning or Decision Theory either ignore uncertainty and tradeoffs, or provide languages and algorithms that are too complex for this task. The proposed model provides a language based on rules, a semantics based on high probabilities and lexicographical preferences, and a transparent decision procedure where reasons for and against decisions interact. The model is no substitute for Decision Theory, yet for decisions that people find easy to explain it may provide an appealing alternative.
93 citations
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National Oceanic and Atmospheric Administration1, Alfred Wegener Institute for Polar and Marine Research2, University of South Florida St. Petersburg3, Pacific Marine Environmental Laboratory4, Esri5, Oregon State University6, United States Geological Survey7, Northeastern University8, University of Auckland9, University of Porto10, Goethe University Frankfurt11, Southern California Coastal Water Research Project12, Commonwealth Scientific and Industrial Research Organisation13, Atlantic Oceanographic and Meteorological Laboratory14, University of Alaska Fairbanks15, University of São Paulo16, Simón Bolívar University17, University of Tasmania18, Macquarie University19, Leibniz Institute of Marine Sciences20, National Scientific and Technical Research Council21, Universidad de Especialidades Espíritu Santo22, University of Edinburgh23, University of the Azores24, National Oceanography Centre25
TL;DR: In this article, the authors describe efforts in the global community to advance broad partnerships, shared approaches and best practices toward a standardized yet flexible, integrated observing system that serves information needs of resource managers and decision-makers, scientists and educators, from local to global scales.
Abstract: Living resources in the sea are essential to the economic, nutritional, recreational, and health needs of billions of people. Variation in the biodiversity that characterizes marine systems, and which underlies numerous ecosystem services provided to humans, is being rapidly altered by changing environmental factors and human activity. Understanding the underlying causes of these patterns, and forecasting where future changes are likely to occur, requires monitoring of patterns of organism abundance, diversity, distribution and health; productivity and ecosystem function; and allelic diversity and genetic expression. To achieve this goal it is necessary that these observations are accompanied by metrics of environmental and socio-economic drivers. However, existing global ocean observing activities often do not explicitly consider observations of marine biodiversity and associated processes. Implementing operational programs to observe life in the sea is increasingly critical to understanding responses of species and ecosystems to stressors, and overall impacts on critical natural capital, ecosystem services, and human welfare. Here we describe efforts in the global community to advance broad partnerships, shared approaches and best practices toward a standardized yet flexible, integrated observing system that serves information needs of resource managers and decision-makers, scientists and educators, from local to global scales.
91 citations
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TL;DR: In this paper, skeletal sections of the coral Porites astreoides were determined through the analysis of growth bands using tomography, and ten metals (Al, Ca, Cd, Cu, Cr, Fe, Hg, Pb, V and Zn) were analysed in skeletal sections.
91 citations
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TL;DR: In this article, a mean-field approach was used to study the kinetics of a classical mixed Ising ferrimagnetic model on a square lattice, in which the two interpenetrating square sublattices have spins.
Abstract: We present a study, within a mean-field approach, of the kinetics of a classical mixed Ising ferrimagnetic model on a square lattice, in which the two interpenetrating square sublattices have spins $\ensuremath{\sigma}=\ifmmode\pm\else\textpm\fi{}1/2$ and $S=\ifmmode\pm\else\textpm\fi{}1,0.$ The kinetics is described by a Glauber-type stochastic dynamics in the presence of a time-dependent oscillating external field and a crystal field interaction. We can identify two types of solutions: a symmetric one, where the total magnetization $M$ oscillates around zero, and an antisymmetric one where $M$ oscillates around a finite value different from zero. There are regions of the phase space where both solutions coexist. The dynamical transition from one regime to the other can be of first or second order depending on the region in the phase diagram. Depending on the value of the crystal field we found up to two dynamical tricritical points where the transition changes from continuous to discontinuous. Also, we perform a similar study on the Blume-Capel $(S=\ifmmode\pm\else\textpm\fi{}1,0)$ model and find strong differences between its behavior and the one of the mixed model.
91 citations
Authors
Showing all 5925 results
Name | H-index | Papers | Citations |
---|---|---|---|
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 |