Contribución al estudio polínico de Sideritis L. en el sudeste ibérico

Utilizando MO ~ MEB se presenta un cslu~io pali nológico de 18 táxones del género Siden'ris Sccc. Eusideritis Bell th;tm (Shü•rilis s. Sir.) presc:nles en el sudeste de Espaila: S . inwnn Wtr. \ '.Ífb>ato. S. &larjca. S. tragotigommr, S. angu;lifolia, S. se!abensi.t, S. mugrommsis, S. leuccmJra, S. leuamtlra var. hourgeano, S. leacmrtha v~r. im:ana, S. pusilfa, S. pusilla \lar. cartlwgineruis, S. pusil!a vM. fllJ\'0\'Frcns, S. prtsilla var. grciiO/c,uiJ, S. pusi!la var.liuorolis, S. pusilla var. osreaxyUcJ S. clum:acdrijo!io, S. fol'tem; y S. hirswa. A p3rtir de los datos de este trabajo se ¡)ucdc concliJir que In variación más importante dentro di!l polen de las publ;~cioncs eswdiaüas es l01 de lit morfologf:l polínica en vis1:1 poh1r 't ecuatorial, lo cual se relacio na con el tir)CJ de mesocolpio: se cncucnlran granos pkmap~r turados., angulapcr· turados y form<t.S intermcdi:KA palynologic"l sur;ey, includin¡; LM and SEM is prcscn1cd for 18 taxa of thc gcntJs Sid(•ntis L. Scc.:t. Eusidrri.lis Bc nthum (Side.rirlJ s. str.) prcscnting in Southcastern Spain: S. incuna Yi.H . ~,·rgatu, S.gluucu, S. tragori!,JtJ!IlUPI1 S. mrgltstifolia. S. se:abensis. S. nm~J¡'1011cnsi;, S. icrlt"D' Itlro, S k ru:tmtlra \ ' i.lr. bo:ugcmw, S. lcucoml:a 1o1ar. incona, S. pusiila, S. p11silin var. cart~laginen.sis, S. pr~siUtl v;)r. fla .;o,.;rens. S. pmiflu \' tiT. ¡;ratwlensis, S. pusil!a var. !ittoralis, S pusilla v:.r. ru1eoxyUa, S. dlamaet!rifoUa. S.fat~tem and S. llirsrlla. Judging rrom the da te prc.r;entcd in 1his papcr, il may be concJuded lhat !he rnOSI cons¡'licunns vari:ltÍOn in 1hc poi· len of collecüons anaUscd i.s that of pollcn mor¡'lhology in JXllar and ecuatorial \~cw which is rcl;ltcd lO lhc typc of mcsocoJpium: a ngulaperlllrale, r laMpcrluraiC and intcrmcdi:HC forros arc foum.l

CFD investigation of a complete floating offshore wind turbine

This chapter presents numerical computations for floating offshore wind turbines for a machine of 10-MW rated power. The rotors were computed using the Helicopter Multi-Block flow solver of the University of Glasgow that solves the Navier-Stokes equations in integral form using the arbitrary Lagrangian-Eulerian formulation for time-dependent domains with moving boundaries. Hydrodynamic loads on the support platform were computed using the Smoothed Particle Hydrodynamics method. This method is mesh-free, and represents the fluid by a set of discrete particles. The motion of the floating offshore wind turbine is computed using a Multi-Body Dynamic Model of rigid bodies and frictionless joints. Mooring cables are modelled as a set of springs and dampers. All solvers were validated separately before coupling, and the loosely coupled algorithm used is described in detail alongside the obtained results

The Fearful Citizen: Crime and Support for Democracy in Latin America

This article shows that while the impact of crime victimization on support for democracy is sensitive to question wording, the influence of fear of crime on this attitude is consistent and immune to measurement effects. We construe this as evidence that fear of crime has greater attitudinal consequences for democratic support than crime victimization. We show that fear of crime is affected by actual individual and contextual levels of crime victimization as well as evaluations of regime performance. Finally, and consistent with the affective intelligence literature, we find that crime fails to activate people’s surveillance systems in countries that exhibit very low levels of it (typically, where less than 10% of respondents report to have been victims of crime). It is only in countries that have significant crime victimization where fear of it becomes a factor affecting support for democracy.This article shows that while the impact of crime victimization on support for democracy is sensitive to question wording, the influence of fear of crime on this attitude is consistent and immune to measurement effects. We construe this as evidence that fear of crime has greater attitudinal consequences for democratic support than crime victimization. We show that fear of crime is affected by actual individual and contextual levels of crime victimization as well as evaluations of regime performance. Finally, and consistent with the affective intelligence literature, we find that crime fails to activate people’s surveillance systems in countries that exhibit very low levels of it (typically, where less than 10% of respondents report to have been victims of crime). It is only in countries that have significant crime victimization where fear of it becomes a factor affecting support for democracy

Urban Heat Island Effects in Tropical Climate

This paper reviews some of the characteristics of urban climates and the causes and effects of urban heat island (UHI) issues in the tropical climate. UHI effect is a kind of heat accumulation phenomenon within the urban areas due to urban construction and human activities. It is recognized as the most evident characteristic of urban climate. The increase of land surface temperature in San Juan, Puerto Rico, caused by the UHI effect was influenced by the change of land use and material types in construction. The impacts of daily temperature, surface albedo, evapotranspiration (ET), and anthropogenic heating on the near-surface climate are discussed. Analyzed data and field measurements indicate that increasing albedo and vegetation cover can be effective in reducing the surface and air temperatures near the ground. Some mitigation and prevention measures are proposed for the effects of UHI, such as a flash flood warning system

Entanglement entropy of an accelerating universe

We have considered the existence of a dependence of the entanglement entropy on the cosmological horizon surface area also in several accelerating models of the current universe both for a quintessence scalar field and for a phantom-energy scenario. It is shown that if a quintessence vacuum cosmic field is considered then, though the case for w>-1 satisfies a second law for entanglement entropy, when w<-1 such a law is violated. It is finally noted that the entanglement entropy and the distinct formulations of cosmic holography share common future surfaces which are optimal screen for the latter descriptions. © 2012 American Physical Society.This work was supported by MICINN under Research Project FIS2008- 06332.Peer Reviewe

The Peruvian elections of 2001: dismantling the authoritarian legacy

El proceso electoral peruano que culminó en junio de 2001 ha demostrado una vez más la extraordinaria volatilidad del votante peruano. Esta volatilidad llevó al poder a Alberto Fujimori en 1990. Durante gran parte de esta década las preferencias electorales mostraron cierto equilibrio en la medida que las elecciones de 1995 y el 2000 reflejaron el clivaje fundamental de la política de aquellos años: la preferencias electorales se organizaron en torno al eje pro Fujimori/anti Fujimori. La desaparición de Fujimori de la escena electoral y el concomitante colapso de su movimiento político (Cambio 90-Nueva Mayoría), generó una situación electoral nueva en el Perú. Desaparecido el clivaje que organizaba las preferencias electorales en los noventa, los electores peruanos, especialmente aquellos de origen popular, perdieron una importante manera de organizar el mundo político. La extraordinaria volatilidad de las preferencias electorales registrada durante la campaña de 2001 es una manifestación de esta desaparición y la ausencia de un nuevo clivaje que venga a ordenar las preferencias políticas.The Peruvian electoral process that ended in June 2001 has once again demonstrated the extraordinary volatility of the Peruvian voter. This volatility brought Alberto Fujimori to power in 1990. During much of this decade, electoral preferences showed a certain balance to the extent that the 1995 and 2000 elections reflected the fundamental cleavage of politics in those years: electoral preferences were organized around the pro-Fujimori/anti-Fujimori axis. Fujimori's disappearance from the electoral scene and the concomitant collapse of his political movement (Cambio 90-Nueva Mayoría), generated a new electoral situation in Peru. With the disappearance of the cleavage that organized electoral preferences in the 1990s, Peruvian voters, especially those of popular origin, lost an important way of organizing the political world. The extraordinary volatility of electoral preferences registered during the 2001 campaign is a manifestation of this disappearance and the absence of a new cleavage that comes to order political preferences

Vehicle and Pedestrian Detection in Traffic Videos Using Convolutional Neural Networks

One of the major applications of computer vision is the analysis of the traffic scene on the road, and how pedestrian traffic affects traffic in general. Road sizes and traffic signals must constantly adapt. Counting and classifying vehicles and pedestrians at an intersection is an exhausting task, and despite the use of traffic control systems, human interaction is very necessary to perform such a task. The object of study of Deep Learning is to try to solve problems that require artificial intelligence. Artificial intelligence has been working in this field for years, with different approaches and algorithms. It has achieved an important emergence in the recognition of patterns in images and videos using these techniques, to the point of surpassing human capacity in some problems. An important factor in this development is the ability to process large volumes of information in applications, which has resulted in the devices used for this purpose, such as GPU’s and multi-core CPU’s, requiring a large amount of power to operate. For the development of the application of vehicle and pedestrian detection in traffic videos, YOLO V3 was used, which is a neural network model of the latest generation of real-time objects. Keywords: yoloV3, Deep Learning, Convolucional Network. Resumen Una de las mayores aplicaciones de la visión por computadora es el análisis de la escena de tráfico en la carretera, y cómo el tráfico de peatones afecta al tráfico en general. Los tamaños de las carreteras y las señales de tráfico deben adaptarse constantemente. Contar y clasificar vehículos y peatones en una intersección es una tarea agotadora y, a pesar del uso de sistemas de control de tráfico, la interacción humana es muy necesaria para realizar dicha tarea. El objeto de estudio de Deep Learning, es intentar resolver problemas que requieren inteligencia artificial. La inteligencia artificial ha trabajado en este campo durante años, con diferentes enfoques y algoritmos. Ha logrado un surgimiento importante en el reconocimiento de patrones en imágenes y videos usando estas técnicas, hasta el punto de superar la capacidad humana en algunos problemas. Un importante factor de este desarrollo es la capacidad de procesar grandes volúmenes de información en aplicaciones, lo que ha dado como resultado que los dispositivos utilizados para este propósito, como GPU’s y CPU’s multinúcleo, requieran una gran cantidad de energía para operar. Para el desarrollo de la aplicación de Detección de vehículos y peatones en videos de tráfico, fue utilizado YOLO V3, que es un modelo de red neuronal de la última generación de objetos en tiempo real. Palabras Clave: yoloV3, Aprendizaje profundo, Red convoluciona

War, Revolution, and Failed Democratization in Bolivia and Ecuador

This essay reviews the following works

Presidential Support in a Context of Crisis and Recovery in Peru

Abstract: Largely due to the theoretical weight given to the role of economic crisis, the existing literature on presidential approval in Peru offers a variety of competing explanations about the factors that account for presidential support. These competing explanations share one bond: they emphasize the absence of traditional economic voting. We argue here that the diversity of interpretations and empirical findings stem from the high degree of volatility experienced by economic indicators, and the failure of existing research to account for the timedependent variance of presidential popularity. We analyze the impact of economic performance and key political events on the determination of presidential approval in Peru for the period 1985-2008 using an Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model. Our findings suggest that the effects of economic conditions on presidential approval approximate more traditional economic voting postures than previously thought. To the extent that crisis-ridden economic conditions in Peru have helped to theorize the alleged departures from traditional economic voting, the country is an ideal case to revisit standing propositions in the literature, particularly in a moment when those crisis-ridden economic conditions have disappeared