Procura-se uma biblioteca: o caso de um município sem acesso à educação e à leitura

Este trabalho, de cunho qualitativo, apresenta um estudo de caso sobre as questões relacionadas com a oferta de bibliotecas públicas nos municípios do Estado, especialmente o município de São João de Meriti, um dos municípios mais pobres e mais populosos do país, situado na Baixada Fluminense. No referencial teórico, foram discutidas questões como capital social, com as inferências relacionadas às questões raciais, as representações sociais e as bibliotecas. Além de pesquisa bibliográfica e webgráfica, foi feita observação participante e foram realizadas visitas e entrevistas como método, além de fazer uso do jogral como técnica. A análise de dados demonstra que os moradores, principalmente os jovens, ressentem-se da falta de um espaço de aprendizagem para sua formação e da falta de uma biblioteca para suas pesquisas. Nas considerações, demonstra-se que este trabalho, embora não tivesse a intenção, tornou-se um canal para que a população do município de São João de Meriti seja observado pelo Conselho Regional de Biblioteconomia e outras instâncias em busca da reabertura da biblioteca do lugar. Concluiu-se que as necessidades informacionais dos lugares mais desfavorecidos no Brasil é um fato onde dados de pesquisas mostram disparidades indignantes entre a vontade dos indivíduos de ter acesso a bibliotecas públicas em sua cidade e a exorbitante falta desses espaços em municípios pobres

Development, economic viability and attributes of lamb carcass from confined animals fed on different amounts of crude glycerin

<p>The current study aims to assess the effect from crude glycerin inclusion (0, 7, 14, and 21% dry matter) in the diet of slaughtered lamb on their development, nutrient consumption, biometrical measures, diet economic viability and carcass features. Thirty two (32) non-castrated male Texel lambs were used in the study, they presented mean initial weight 15.9 ± 4.1 kilos and were distributed in casual outlining. They were fed with four treatments, with 8 repetitions. Animals were slaughtered when they reached approximately 35 kilos. The mean total weight gain was 20.72 kilos and mean daily weight gain was 260 grams. No changes resulted from glycerin use. The carcass performance was similar among treatments (P&gt;0.05) and the cold carcass performance (CCP) was 44.68%. There were no effects (P&gt;0.05) on the loin eye area (LEA) and on fat thickness (FT); they showed averages of 13.66 cm2 and 0.84 mm, respectively. Nutrition cost per animal during the whole confinement period varied between R$82.60 (eighty-two Reais and forty-eight cents) to R$92.48. The smallest nutrition amount consisted of 21% crude glycerin. The gross profit ranged from R$30.75 to R$ 34.01 per animal, for feed without glycerin and 21% glycerin, respectively. Animal development was not impacted by glycerin introduction, even with decrease on dry and organic mass consumption. The result showed that crude glycerin inclusion might be used in lambs’ diet. Whenever there are big amounts of feed involved in the process, the 21% crude glycerin addition may be an interesting cost reduction. Seventy eight percent (78%) glycerol crude glycerin to replace corn-based feed in confined lambs’ diet appeared to be nutritionally and economically viable.</p><p><strong> </strong></p

Using Biotic Interaction Networks for Prediction in Biodiversity and Emerging Diseases

Abstract: Networks offer a powerful tool for understanding and visualizing inter-species ecological and evolutionary interactions. Previously considered examples, such as trophic networks, are just representations of experimentally observed direct interactions. However, species interactions are so rich and complex it is not feasible to directly observe more than a small fraction. In this paper, using data mining techniques, we show how potential interactions can be inferred from geographic data, rather than by direct observation. An important application area for this methodology is that of emerging diseases, where, often, little is known about inter-species interactions, such as between vectors and reservoirs. Here, we show how using geographic data, biotic interaction networks that model statistical dependencies between species distributions can be used to infer and understand inter-species interactions. Furthermore, we show how such networks can be used to build prediction models. For example, for predicting the most important reservoirs of a disease, or the degree of disease risk associated with a geographical area. We illustrate the general methodology by considering an important emerging disease -Leishmaniasis. This data mining methodology allows for the use of geographic data to construct inferential biotic interaction networks which can then be used to build prediction models with a wide range of applications in ecology, biodiversity and emerging diseases

Hereditary Angioedema-Associated Acute Pancreatitis in C1-Inhibitor Deficient and Normal C1-Inhibitor Patients: Case Reports and Literature Review

Abdominal pain due to intestinal swellings is one of the most common manifestations in hereditary angioedema (HAE). Bowel swellings can cause severe abdominal pain, nausea, vomiting, and diarrhea, which may lead to misdiagnosis of gastrointestinal disorders. In rare cases, HAE abdominal attacks can be accompanied by acute pancreatitis. Here, we report 3 patients with HAE and acute pancreatitis and present a literature review of similar cases. Patients with confirmed diagnosis of HAE secondary to C1-inhibitor (C1-INH) deficiency (n = 2) and HAE with normal C1-INH and F12 mutation (F12-HAE) (n = 1) were included. Pancreatitis was diagnosed based on clinical symptoms and high lipase and amylase levels. Three HAE patients were diagnosed with acute pancreatitis based on increased amylase levels during severe abdominal swelling episodes. Two were previously diagnosed with HAE type I and one with F12-HAE. Pancreatitis was efficiently treated in two patients using Icatibant, with pain relief within hours. When conservatively treated, pancreatitis pain took longer time to resolve. Eighteen pancreatitis cases in HAE with C1-INH deficiency were previously reported and none in F12-HAE. Most patients (12/18) underwent invasive procedures and/or diagnostic methods. Although rare, severe abdominal HAE attacks could cause pancreatitis; HAE-specific treatments may be efficient for HAE-associated pancreatitis. HAE should be considered as a differential diagnosis of acute idiopathic pancreatitis. To our knowledge, this is the first report of HAE-associated pancreatitis in a F12-HAE patient treated with Icatibant

Using Biotic Interaction Networks for Prediction in Biodiversity and Emerging Diseases

Networks offer a powerful tool for understanding and visualizing inter-species ecological and evolutionary interactions. Previously considered examples, such as trophic networks, are just representations of experimentally observed direct interactions. However, species interactions are so rich and complex it is not feasible to directly observe more than a small fraction. In this paper, using data mining techniques, we show how potential interactions can be inferred from geographic data, rather than by direct observation. An important application area for this methodology is that of emerging diseases, where, often, little is known about inter-species interactions, such as between vectors and reservoirs. Here, we show how using geographic data, biotic interaction networks that model statistical dependencies between species distributions can be used to infer and understand inter-species interactions. Furthermore, we show how such networks can be used to build prediction models. For example, for predicting the most important reservoirs of a disease, or the degree of disease risk associated with a geographical area. We illustrate the general methodology by considering an important emerging disease - Leishmaniasis. This data mining methodology allows for the use of geographic data to construct inferential biotic interaction networks which can then be used to build prediction models with a wide range of applications in ecology, biodiversity and emerging diseases

Zooarchaeological analysis of a fluvial shellmound: Capelinha I site

O sítio Capelinha I, localizado no município de Cajati, SP, é um sambaqui fluvial de grande interesse para a Arqueologia brasileira, devido a sua intrigante datação: 9250±50 anos AP. Possui, além da ocupação sambaquieira, outras duas posteriores, ligadas aos caçadores-coletores da Tradição Umbu e aos ceramistas da Tradição Itararé. Deste modo, o principal objetivo deste trabalho é, através de uma análise zooarqueológica, compreender as interações entre os homens e o ambiente em que estavam inseridos, por meio da análise do material proveniente de quatro áreas de escavação abertas entre os anos de 1999 e 2003.The site Capelinha I, located in Cajati, SP, is a fluvial shellmounds of great interest to the Brazilian Archeology, intriguing because of its timing: 9250 ± 50 years BP. Besides the shellmounds, there were two other subsequent occupations, related to the hunter-gatherer of Umbu Tradition and the potters of Itararé Tradition. Therefore, the main objective of this research is, through a zooarchaeological analysis, to understand the interactions between men and environment in which they were inserted, by means of the analysis of material proceeding from four excavation areas, which were opened between the years of 1999 and 2003

Zooarchaeological analysis of a fluvial shellmound: Capelinha I site

O sítio Capelinha I, localizado no município de Cajati, SP, é um sambaqui fluvial de grande interesse para a Arqueologia brasileira, devido a sua intrigante datação: 9250±50 anos AP. Possui, além da ocupação sambaquieira, outras duas posteriores, ligadas aos caçadores-coletores da Tradição Umbu e aos ceramistas da Tradição Itararé. Deste modo, o principal objetivo deste trabalho é, através de uma análise zooarqueológica, compreender as interações entre os homens e o ambiente em que estavam inseridos, por meio da análise do material proveniente de quatro áreas de escavação abertas entre os anos de 1999 e 2003.The site Capelinha I, located in Cajati, SP, is a fluvial shellmounds of great interest to the Brazilian Archeology, intriguing because of its timing: 9250 ± 50 years BP. Besides the shellmounds, there were two other subsequent occupations, related to the hunter-gatherer of Umbu Tradition and the potters of Itararé Tradition. Therefore, the main objective of this research is, through a zooarchaeological analysis, to understand the interactions between men and environment in which they were inserted, by means of the analysis of material proceeding from four excavation areas, which were opened between the years of 1999 and 2003