CADEIA TÊXTIL-VESTUÁRIO: DISCUTINDO A EXISTÊNCIA DE UM ARRANJO PRODUTIVO LOCAL NA REGIÃO METROPOLITANA DE LONDRINA-PARANÁ

The objective of this work is to discuss the existence of a cluster of textile-clothing industries in the Metropolitan Area of Londrina, and verify its level of development. After discussing the nature and characteristics of this cluster, we hope to determine whether it can be classified as a Local Production Arrangement – LPA. A review was carried out on classical studies about productive clusters and networks. To identify the level of clustering, the quotients of jobs and establishments in the textile-clothing sector were calculated based on RAIS data for the period 1995/2003, and supported by the results of two field studies. This can be described as a qualitative and quantitative study, which is supported by two field studies. The results enable us to conclude that several links in the productive chain are present in the region of Londrina, in the State of Paraná, characterized as an important cluster, whose links are fragile, therefore this can be classified as an embryonic productive local arrangement, with a high potential for development.El objetivo del artículo es discutir la existencia de una aglomeración de industrias de vestuario en la Región Metropolitana de Londrina, verificar sus características y, a partir del análisis de los indicadores de su grado de desarrollo, inferir si la aglomeración puede ser caracterizada como un Arreglo Productivo Local – APL. Los procedimientos metodológicos involucran la revisión de estudios clásicos sobre aglomeraciones productivas y de redes. Para identificar el grado de aglomeración, se realiza el cálculo de los cocientes locacionales de empleo y establecimientos del sector textil; la base de datos es la RAIS para el período 1995/2003. Para calificar las informaciones estadísticas y verificar si las características de la aglomeración permiten configurar un APL, se discuten los resultados de dos investigaciones de campo. Esta investigación es de naturaleza cuantitativa y cualitativa, descriptiva y apoyada en datos secundarios. Los resultados permiten concluir que varios eslabones de la cadena productiva están presentes en la región de Londrina - Paraná, caracterizándose como una aglomeración productiva cuyos eslabones presentan fragilidad, y que las características de la aglomeración permiten clasificarla como embrión de APL, con elevado potencial de desarrollo.O objetivo do artigo é discutir a existência de uma aglomeração de indústrias do vestuário na Região Metropolitana de Londrina, verificar suas características e, a partir da análise dos indicadores de seu grau de desenvolvimento, inferir se a aglomeração pode ser caracterizada como um Arranjo Produtivo Local – APL. Os procedimentos metodológicos envolvem a revisão de estudos clássicos sobre aglomerações produtivas e de redes. Para identificar o grau de aglomeração, realiza-se o cálculo dos quocientes locacionais de emprego e estabelecimentos do setor têxtil - a base de dados é a RAIS para o período 1995/2003. Para qualificar as informações estatísticas e verificar se as características da aglomeração permitem configurar um APL, são discutidos os resultados de duas pesquisas de campo. Esta pesquisa é de natureza quantitativa e qualitativa, descritiva e apoiada em dados secundários. Os resultados permitem concluir que vários elos da cadeia produtiva estão presentes na região de Londrina-Paraná, caracterizando-se como uma aglomeração produtiva, cujos elos apresentam fragilidade e que as características da aglomeração permitem classificá-la como embrião de APL, com elevado potencial de desenvolvimento

Mucopolysaccharidosis I, II, and VI: Brief review and guidelines for treatment

Mucopolysaccharidoses (MPS) are rare genetic diseases caused by the deficiency of one of the lysosomal enzymes involved in the glycosaminoglycan (GAG) breakdown pathway. This metabolic block leads to the accumulation of GAG in various organs and tissues of the affected patients, resulting in a multisystemic clinical picture, sometimes including cognitive impairment. Until the beginning of the XXI century, treatment was mainly supportive. Bone marrow transplantation improved the natural course of the disease in some types of MPS, but the morbidity and mortality restricted its use to selected cases. The identification of the genes involved, the new molecular biology tools and the availability of animal models made it possible to develop specific enzyme replacement therapies (ERT) for these diseases. At present, a great number of Brazilian medical centers from all regions of the country have experience with ERT for MPS I, II, and VI, acquired not only through patient treatment but also in clinical trials. Taking the three types of MPS together, over 200 patients have been treated with ERT in our country. This document summarizes the experience of the professionals involved, along with the data available in the international literature, bringing together and harmonizing the information available on the management of these severe and progressive diseases, thus disclosing new prospects for Brazilian patients affected by these conditions

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

A Biblioteca Professor Gaio e o Projeto de Sustentabilidade

Apresenta um projeto sobre sustentabilidade que foi executado durante a Semana Nacional do Livro e da Biblioteca na Biblioteca Professor Gaio do Instituto Presidente Tancredo de Almeida Neves em São João Del Rei (MG) em 2012. Indica a metodologia utilizada durante o projeto para a conscientização dos usuários de forma simples e eficaz. Mostra que o objetivo proposto foi alcançado e que os usuários aprenderam com o projeto. Conclui que é um projeto que merece continuidade e que em 2013 será novamente aplicado no mesmo evento

Inclusão de colaboradores surdos no atendimento aos usuários na biblioteca Professor Gaio - IPTAN

O bibliotecário hoje em parceria com a instituição já trabalha com a inclusão social de um modo geral. Diante disso, é fato que a Biblioteca Professor Gaio já conta com pessoas surdas em seu quadro de colaboradores