Ranking de municípios para políticas públicas de educação: comparação entre avaliações multicritério a partir do IDH

Neste artigo se desenvolvem alternativas de abordagem multicritério visando à seleção de municípios para a implementação de políticas públicas de educação. Considerando que a situação da educação no Brasil apresenta grande variabilidade, o que impacta as demandas educacionais por políticas públicas de educação de forma diferente em diferentes regiões, verifica-se a necessidade de critérios objetivos para a seleção de pontos de aplicação de recursos para o combate a desigualdades nessa área. Em particular, se discute o emprego do Índice de Desenvolvimento Humano como fundamento para decisões na área educacional. Além disso, visa-se a estabelecer condições para a comparação dessas situações segundo diferentes critérios utilizados para fundamentar políticas públicas de educação.

Brasil melhora 3 posições em ranking sobre corrupção. Tema é o mais mencionado nas redes

Relatório divulgado nesta quarta (3) pela Transparência Internacional revela que o Brasil melhorou três posições em ranking de percepção de corrupção. O tema é o mais falado nas redes brasileiras desde ontem, de acordo com o Monitor de Temas, ferramenta disponibilizada pela DAPP que acompanha em tempo real o volume de menções a temas de políticas públicas.

Botão "Ranking"

Ilustração componente do jogo “Quimolécula (http://www.loa.sead.ufscar.br/quimolecula.html)” desenvolvido pela equipe do Laboratório de Objetos de Aprendizagem da Universidade Federal de São Carlos (LOA/UFSCar).

Ranking

Ilustração componente do jogo “Quimolécula (http://www.loa.sead.ufscar.br/quimolecula.html)” desenvolvido pela equipe do Laboratório de Objetos de Aprendizagem da Universidade Federal de São Carlos (LOA/UFSCar).

Taxonomic status of the genus Sotalia: Species level ranking for tucuxi (Sotalia fluviatilis) and costero (Sotalia guianensis) dolphins

Dolphins of the genus Sotalia are found along the Caribbean and Atlantic coasts of Central and South America and in the Amazon River and most of its tributaries. At present, the taxonomy of these dolphins remains unresolved. Although five species were described in the late 1800s, only one species is recognized currently (Sotalia fluviatilis) with two ecotypes or subspecies, the coastal subspecies (Sotalia fluviatilis guianensis) and the riverine subspecies (Sotalia fluviatilis fluviatilis). Recent morphometric analyses, as well as mitochondrial DNA analysis, suggested recognition of each subspecies as separate species. Here we review the history of the classification of this genus and present new genetic evidence from ten nuclear and three mitochondrial genes supporting the elevation of each subspecies to the species level under the Genealogical/Lineage Concordance Species Concept and the criterion of irreversible divergence. We also review additional evidence for this taxonomic revision from previously published and unpublished genetic, morphological, and ecological studies. We propose the common name costero for the coastal species, Sotalia guianensis (Van Beneden 1864), and accept the previously proposed tucuxi dolphin, Sotalia fluviatilis (Gervais, 1853), for the riverine species.

Guide for ranking project profiles

Desarrolla un esquema básico para el diseño de un Banco de Proyectos para Belice con el fin de ayudar en el proceso de toma de decisiones en cada una de las etapas de un proyecto.

Project ranking and logical design of an investment programming support system

Includes bibliography

A scalable re-ranking method for content-based image retrieval

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Image Re-Ranking Acceleration on GPUs

Huge image collections are becoming available lately. In this scenario, the use of Content-Based Image Retrieval (CBIR) systems has emerged as a promising approach to support image searches. The objective of CBIR systems is to retrieve the most similar images in a collection, given a query image, by taking into account image visual properties such as texture, color, and shape. In these systems, the effectiveness of the retrieval process depends heavily on the accuracy of ranking approaches. Recently, re-ranking approaches have been proposed to improve the effectiveness of CBIR systems by taking into account the relationships among images. The re-ranking approaches consider the relationships among all images in a given dataset. These approaches typically demands a huge amount of computational power, which hampers its use in practical situations. On the other hand, these methods can be massively parallelized. In this paper, we propose to speedup the computation of the RL-Sim algorithm, a recently proposed image re-ranking approach, by using the computational power of Graphics Processing Units (GPU). GPUs are emerging as relatively inexpensive parallel processors that are becoming available on a wide range of computer systems. We address the image re-ranking performance challenges by proposing a parallel solution designed to fit the computational model of GPUs. We conducted an experimental evaluation considering different implementations and devices. Experimental results demonstrate that significant performance gains can be obtained. Our approach achieves speedups of 7x from serial implementation considering the overall algorithm and up to 36x on its core steps.

Ranking of Nellore animals in cattle championships: genetic parameters and correlations with production traits

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Are biological species and higher-ranking categories real? Fish folk taxonomy on Brazil`s Atlantic Forest coast and in the Amazon

Analysis of Brazilian fishers` classifications of 24 marine (Atlantic coast) and 24 freshwater (Amazon) fish species reveals that fishers from the Atlantic coast identify fish mainly through generic names (primary lexemes), while riverine Amazonian fishers typically identify them through binomials. The similarity of Amazonian fish species seems to contribute to the detailed folk taxonomy used by riverine fishers. High-ranking groups called ""relatives"" or ""cousins"" are sorted by fishers in terms of similarities of habitat, diet, and morphology and, secondarily, behavior. The general correspondence between the folk and scientific taxonomies reinforces the reality of both the supracategories used by these fishers and the biological groups as discontinuities in nature. Given the urgency of biological inventories and the lack of knowledge of high-biodiversity environments such as the Atlantic Forest and the Amazon, these results suggest that fisher knowledge and experience could contribute to scientific research.