Desterritorização melancólica: Uma leitura do personagem Kaushik em Terra descansada, de Jhumpa Lahiri

Resumo: Das considerações sobre melancolia nos escritos de Aristóteles (340 a.C.) à Teoria Humoral de Hipócrates, até os conceitos de psicologia de Sigmund Freud (1917), o artigo pretende fazer uma leitura da melancolia no personagem Kaushik de Terra Descansada, de Jhumpa Lahiri através de seus dilemas de não-pertencimento e sua incapacidade de construir raízes em alguma pátria, discutindo também suas manifestações de nostalgia. Nossa teoria é articulada por Sigmund Freud (1917), Moacyr Scliar (2008/09), Chico Viana (2013), os quais conceituam a manifestação da melancolia. Stuart Hall (2006), Fernando Custódio (2013), Srjoni Rahman (2017), ajudam no diálogo a respeito dos embates culturais e da ruptura da identidade nativa do personagem nos contos. Chevalier & Gheerbrant (2009) e Bachelard (1997), apresentam simbolismo sobre a água presente nas narrativas. Abstract: From Aristoteles’ writings (340 a. C.) to Hippocrates’ humoral theory, to the Sigmund Freud’s psychological concepts (1917), the melancholy was understood, discussed and defended as sickness and symptoms in which the sick person presented several characteristics as sadness, somnolence, loneliness, prostration, jealousy, etc. Taking in consideration all that, this work aims to do a reading of the melancholy of the character Kaushik using from Jhumpa Lahiri’s Terra Descansada, through his dilemmas  of not belonging and his incapacity of building up roots in any country, taking also in consideration his manifestations of nostalgy which are entirely related to the character’s difficulty to overcome the grief caused by his mother’s death, Parul Di. Concerning our theorical basis, we use Sigmund Freud (1917), Moacyr Scliar (2008/09), and Chico Viana (2013), to conceptualize and discuss about the history of melancholy; furthermore, we use authors as Stuart Hall (2006), Fernando Custódio (2013) and Srjoni Rahman (2017), to dialogue about the cultural struggles and the break with the native identity of the character on the narratives. Resumen: De los escritos de Aristóteles (340 a. C.) a la Teoría Humoral de Hipócrates, hasta los conceptos de psicología de Sigmund Freud (1917), la melancolia fue vista, discutida y defendida como enfermedad y síntomas en los cuales los enfermos presentaban inúmeras características, tales como tristeza, somnolencia, soledad, abatimiento, celos, etc. A partir de esas consideraciones, el presente artículo tiene el objetivo de hacer una lectura de la melancolia del personaje Kaushik a través de sus dilemas de no pertenencia y de su incapacidad de construir raíces, dando enfoque también a sus manifestaciones de nostalgia, las cuales están completamente relacionadas con la dificultad del personaje de superar el duelo por la muerte de su madre, Parul Di. En lo que se refiere a nuestro aporte teórico, apelamos a Sigmund Freud (1917), Moacyr Scliar (2008/09) y Chico Viana (2013) para conceptualizar y discutir la historia de la melancolia. Además, también dialogamos con autores como Stuart Hall (2006), Fernando Custódio (2013) y Srjoni Rahman (2017), para tratar de los embates culturales y de la ruptura de identidad nativa del personaje en los cuentos

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

Pooled analysis of WHO Surgical Safety Checklist use and mortality after emergency laparotomy

Background The World Health Organization (WHO) Surgical Safety Checklist has fostered safe practice for 10 years, yet its place in emergency surgery has not been assessed on a global scale. The aim of this study was to evaluate reported checklist use in emergency settings and examine the relationship with perioperative mortality in patients who had emergency laparotomy. Methods In two multinational cohort studies, adults undergoing emergency laparotomy were compared with those having elective gastrointestinal surgery. Relationships between reported checklist use and mortality were determined using multivariable logistic regression and bootstrapped simulation. Results Of 12 296 patients included from 76 countries, 4843 underwent emergency laparotomy. After adjusting for patient and disease factors, checklist use before emergency laparotomy was more common in countries with a high Human Development Index (HDI) (2455 of 2741, 89.6 per cent) compared with that in countries with a middle (753 of 1242, 60.6 per cent; odds ratio (OR) 0.17, 95 per cent c.i. 0.14 to 0.21, P <0001) or low (363 of 860, 422 per cent; OR 008, 007 to 010, P <0.001) HDI. Checklist use was less common in elective surgery than for emergency laparotomy in high-HDI countries (risk difference -94 (95 per cent c.i. -11.9 to -6.9) per cent; P <0001), but the relationship was reversed in low-HDI countries (+121 (+7.0 to +173) per cent; P <0001). In multivariable models, checklist use was associated with a lower 30-day perioperative mortality (OR 0.60, 0.50 to 073; P <0.001). The greatest absolute benefit was seen for emergency surgery in low- and middle-HDI countries. Conclusion Checklist use in emergency laparotomy was associated with a significantly lower perioperative mortality rate. Checklist use in low-HDI countries was half that in high-HDI countries.Peer reviewe

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

Promoção da aquisição de produtos da agricultura familiar para a alimentação escolar em Territórios da Cidadania de Minas Gerais e Espírito Santo

OBJETIVO: Contribuir para a promoção da aquisição de produtos da agricultura familiar para a alimentação escolar em Territórios da Cidadania do País. MÉTODOS: Foi realizado um estudo de intervenção com abordagem de articulação de redes intersetoriais presenciais, desenvolvidas a partir da atuação de equipes compostas por nutricionista, educador popular e engenheiro agrônomo ou técnico agrícola, que visitaram, por pelo menos dois momentos, todos os municípios pertencentes aos Territórios da Cidadania, visando articular redes intersetoriais presenciais capazes de desencadear processos locais de mobilização, organização e apoderamento de diferentes atores para a aquisição de produtos da agricultura familiar para a alimentação escolar nos municípios que compõem os referidos territórios. RESULTADOS: Os resultados mais expressivos foram: 14% dos municípios visitados apresentaram melhora na organização da agricultura familiar; 14% dos gestores passaram a apoiar o processo de aquisição de alimentos segundo a Lei nº 11.947/2009, e 27% dos municípios que não possuíam nutricionista contrataram o profissional. Não foram considerados satisfatórios os resultados obtidos para situação do Conselho de Alimentação Escolar. CONCLUSÃO: As ações desenvolvidas foram capazes de contribuir positivamente para o avanço da implementação da Lei Federal nº 11.947/2009 nos Territórios de Cidadania abordados

AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest

The Amazon forest has the highest biodiversity on Earth. However, information on Amazonian vertebrate diversity is still deficient and scattered across the published, peer-reviewed, and gray literature and in unpublished raw data. Camera traps are an effective non-invasive method of surveying vertebrates, applicable to different scales of time and space. In this study, we organized and standardized camera trap records from different Amazon regions to compile the most extensive data set of inventories of mammal, bird, and reptile species ever assembled for the area. The complete data set comprises 154,123 records of 317 species (185 birds, 119 mammals, and 13 reptiles) gathered from surveys from the Amazonian portion of eight countries (Brazil, Bolivia, Colombia, Ecuador, French Guiana, Peru, Suriname, and Venezuela). The most frequently recorded species per taxa were: mammals: Cuniculus paca (11,907 records); birds: Pauxi tuberosa (3713 records); and reptiles: Tupinambis teguixin (716 records). The information detailed in this data paper opens up opportunities for new ecological studies at different spatial and temporal scales, allowing for a more accurate evaluation of the effects of habitat loss, fragmentation, climate change, and other human-mediated defaunation processes in one of the most important and threatened tropical environments in the world. The data set is not copyright restricted; please cite this data paper when using its data in publications and we also request that researchers and educators inform us of how they are using these data