Porcine bone scaffolds adsorb growth factors secreted by MSCs and improve bone tissue repair

An ideal tissue-engineered bone graft should have both excellent pro-osteogenesis and pro-angiogenesis properties to rapidly realize the bone regeneration in vivo . To meet this goal, in this work a porcine bone scaffold was successfully used as a Trojan horse to store growth factors produced by mesenchymal stem cells (MSCs). This new scaffold showed a time-dependent release of bioactive growth factors, such as vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF), in vitro . The biological effect of the growth factors-adsorbed scaffold on the in vitro commitment of MSCs into osteogenic and endothelial cell phenotypes has been evaluated. In addition, we have investigated the activity of growth factor-impregnated granules in the repair of critical-size defects in rat calvaria by means of histological, immunohistochemical, and molecular biology analyses. Based on the results of our work bone tissue formation and markers for bone and vascularization were significantly increased by the growth factor-enriched bone granules after implantation. This suggests that the controlled release of active growth factors from porcine bone granules can enhance and promote bone regeneratio

Extração automática de termos compostos para construção de ontologias : um experimento na área da saúde

Neste artigo mostramos o uso da ferramenta OntoLP no processo de construção de ontologias em um experimento na área da Saúde. Especificamente, faz-se a extração de termos com base em um corpus da área de Pediatria. Comparamos o resultado obtido pela ferramenta com os resultados de referência de uma lista de termos obtida manualmente. Nessa comparação, são analisados bi-gramas e tri-gramas obtidos através de diferentes métodos. Concluímos o trabalho observando as vantagens do processamento com inclusão de informação lingüística complexa, como análise sintática e semântica

O BNDES e a questão energética e logística da Região Centro-Oeste

Bibliografia: p. 215-217Este capítulo tem por objetivo fazer uma reflexão acerca da infraestrutura da Região Centro-Oeste, especificamente no que diz respeito aos segmentos de logística e energia elétrica. Para efetuar tal análise, o artigo traça o panorama atual da infraestrutura regional e da atuação do BNDES. Com esse cenário, o trabalho apresenta algumas considerações a fim de aprimorar a infraestrutura da Região Centro-Oeste que podem servir de inspiração para a atuação futura do BNDES, de modo a promover maior integração e a ampliar o desenvolvimento socioeconômico regional.This chapter aims to reflect on infrastructure in the Central-West Region, specifically regarding the logistics and electric energy segments. For this analysis, the article outlines the current situation of regional infrastructure and the BNDES’ efforts. With this scenario, the paper presents some considerations to improve infrastructure in the Central-West Region which may serve as inspiration for the BNDES’ future efforts in order to foster greater integration and to expand the regional socioeconomic developmen

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

Subcategorization frames acquisition for portuguese language verbs

Neste trabalho são apresentados métodos para aquisição automática de subcategorization frames (SCF) para verbos de diversas línguas assim como a adaptação de um destes métodos para Língua Portuguesa. Para tanto foi desenvolvido uma solução automática utilizando corpora previamente anotados com informações linguísticas. Utilizou-se como base um parser já existente para a língua portuguesa - o parser PALAVRAS - e foi adaptada uma solução desenvolvida para o francês (cf. (MESSIANT, 2008)). Para verificar a efetividade do método foi gerado automaticamente um léxico com informações de subcategorização e comparado com um léxico gerado manualmente.This work discusses techniques for the automatic acquisition of subcategorization frames (SCF) for verbs in many languages, and presents the extension of one of these methods for Portuguese. An automatic solution was developed using corpora annotated with linguistic information. We used a parser for Portuguese - the PALAVRAS parser - as basis for this work and adapted an existing solution developed for French (see (MESSIANT, 2008)). To verify the effectiveness of the implemented method we automatically generated a lexicon with subcategorization informations and compared it with a manually generated lexicon

Subcategorization frames acquisition for portuguese language verbs

Neste trabalho são apresentados métodos para aquisição automática de subcategorization frames (SCF) para verbos de diversas línguas assim como a adaptação de um destes métodos para Língua Portuguesa. Para tanto foi desenvolvido uma solução automática utilizando corpora previamente anotados com informações linguísticas. Utilizou-se como base um parser já existente para a língua portuguesa - o parser PALAVRAS - e foi adaptada uma solução desenvolvida para o francês (cf. (MESSIANT, 2008)). Para verificar a efetividade do método foi gerado automaticamente um léxico com informações de subcategorização e comparado com um léxico gerado manualmente.This work discusses techniques for the automatic acquisition of subcategorization frames (SCF) for verbs in many languages, and presents the extension of one of these methods for Portuguese. An automatic solution was developed using corpora annotated with linguistic information. We used a parser for Portuguese - the PALAVRAS parser - as basis for this work and adapted an existing solution developed for French (see (MESSIANT, 2008)). To verify the effectiveness of the implemented method we automatically generated a lexicon with subcategorization informations and compared it with a manually generated lexicon