Avaliação do endotélio corneano suíno por microscopia eletrônica de varredura após aplicação de azul brilhante a 0,05% na câmara anterior : estudo in vitro

The aim was to investigate the ultrastructural changes in the corneal endothelium of pigs induced by intracameral 0.05% brilliant blue. Twenty swine corneas were separated into two groups, the right eye bulbs (control group) and the left eye bulbs (experimental group) of the same animal. All the eye bulbs were evaluated with specular microscopy. The cornea of the right eye bulbs was excised and in the left eye bulbs 0.2ml of 0.05% brilliant blue vital dye (OPTH-blue®) was injected into the anterior chamber, where it remained for one minute. Then the anterior chamber was cleaned with a balanced salt solution injection and the cornea was excised too. All the corneas were evaluated by scanning electron microscopy to evaluate the changes on the endothelium caused by the brilliant blue dye. There were no significant differences between the right corneal endothelium cells and the left corneal endothelium cells with scanning electron microscopy after intracameral use of 0.05% brilliant blue dye. The 0.05% brilliant blue dye concentration did not cause deleterious effects for the swine corneal endothelium after intracameral use and can be a choice for safe staining of the anterior capsule of the lens in cataract surgery.[Avaliação do endotélio corneano suíno por microscopia eletrônica de varredura após aplicação de azul brilhante a 0,05% na câmara anterior: estudo in vitro.] Com o objetivo de avaliar as alterações ultraestruturais no endotélio corneano suíno induzidas pela aplicação intracameral do corante azul brilhante 0,05%, vinte córneas suínas foram separadas em dois grupos: olhos direitos (grupo controle) e olhos esquerdos (grupo experimental). Inicialmente todos os bulbos oculares foram avaliados por microscopia especular. As córneas dos bulbos oculares do grupo controle foram excisadas, enquanto nos bulbos oculares do grupo experimental foram injetados 0,2ml do corante vital azul brilhante 0,05% na câmara anterior e mantido por um minuto. Após esse período a câmara anterior foi lavada com solução salina balanceada e as córneas foram excisadas. Todas as córneas excisadas foram avaliadas por microscopia eletrônica de varredura para verificar a ocorrência possíveis alterações no endotélio corneano causadas pelo corante. Não foram observadas diferenças ultraestruturais durante a avaliação endotelial por microscopia eletrônica de varredura das córneas do grupo controle e experimental após a aplicação do azul brilhante 0,05% na câmara anterior. O corante azul brilhante na concentração 0,05% não causou danos endoteliais após seu uso intracameral em suínos e pode ser uma alternativa segura para a coloração da cápsula anterior da lente na cirurgia de catarata

A combined stochastic model for seasonal prediction of precipitation in Brazil

Este artigo discute um modelo de previsão combinada para a realização de prognósticos climáticos na escala sazonal. Nele, previsões pontuais de modelos estocásticos são agregadas para obter as melhores projeções no tempo. Utilizam-se modelos estocásticos autoregressivos integrados a médias móveis, de suavização exponencial e previsões por análise de correlações canônicas. O controle de qualidade das previsões é feito através da análise dos resíduos e da avaliação do percentual de redução da variância não-explicada da modelagem combinada em relação às previsões dos modelos individuais. Exemplos da aplicação desses conceitos em modelos desenvolvidos no Instituto Nacional de Meteorologia (INMET) mostram bons resultados e ilustram que as previsões do modelo combinado, superam na maior parte dos casos a de cada modelo componente, quando comparadas aos dados observados.This article discusses a combined model to perform climate forecast in a seasonal scale. In it, forecasts of specific stochastic models are aggregated to obtain the best forecasts in time. Stochastic models are used in the auto regressive integrated moving average, exponential smoothing and the analysis of forecasts by canonical correlation. The quality control of the forecast is based on the residual analysis and the evaluation of the percentage of reduction of the unexplained variance of the combined model with respect to the individual ones. Examples of application of those concepts to models developed at the Brazilian National Institute of Meteorology (INMET) show good results and illustrate that the forecast of the combined model exceeds in most cases each component model, when compared to observed data

Luxação acromioclavicular tipo V: comparação entre dois métodos de tratamento cirúrgico

Objetivo: Comparar os resultados clínicos e radiográficos do tratamento cirúrgico da luxação acromioclavicular tipo V, utilizando dois métodos: âncoras em conjunto com fio de Kirschner ou parafuso de Bosworth. Métodos: Foram avaliados vinte pacientes entre 19 e 60 anos de idade (média: 33,3 anos) e acompanhamento entre 6 e 36 meses (média de 17,4 meses). Fixação coracoclavicular com ancoragem no processo coracóide e fios de Kirschner realizados em dez casos, os demais foram fixados por parafuso conforme descrito por Bosworth. A avaliação incluiu os escores de Constant, UCLA e ASES, satisfação pessoal e avaliação radiográfica. Resultados: Os tipos de tratamento alcançaram redução adequada e satisfação pessoal na maioria dos casos. O Grupo 2 apresentou escores Constant (91,0) e ASES (94,8) maiores do que os do Grupo 1 (89,0) e (94,6), respectivamente. A osteoartrite da articulação acromioclavicular ocorreu apenas no Grupo 1 (50%) p=0,0325. Nenhuma das técnicas apresentou complicações graves, observou-se infecção superficial no Grupo 1 (20%) e soltura do parafuso no Grupo 2 (10%). Conclusão: Apesar da maior taxa de infecção e osteoartrite da articulação acromioclavicular nas técnicas com fio e âncoras de Kirschner, não houve diferença estatística nos resultados clínicos, radiográficos e funcionais em comparação com as técnicas de parafuso de Bosworth

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

Selection of Dendrobium phalaenopsis (Orchidaceae) genotypes in the in vitro propagation and acclimatization phases / <br> Seleção de genótipos de Dendrobium phalaenopsis (Orchidaceae) nas fases de propagação in vitro e aclimatização

The hybridization of orchids have been done to propitiate a production of cultivars with commercial interesting that show high vigor, great number of fowers and variability of colors. This research had the objective to select favorable genotypes of Dendrobium phalaenopsis for in vitro propagation and acclimatization, resulted from crossing and self- fertilizations of selected plants matrix. For the realization of crossing and self-fertilizations 56 plants of D. phalaenopsis were utilized, totalizing 109 combinations. From the 109 crossing and self-pollinations, only 13 crossing and 3 self-pollinations showed enough number of seedlings for an evaluation. After fve months, 15 seedlings from each crossing and self-pollinationss were evaluated by the following characteristics: length of the aerial part, number of roots, weight of the total fresh mass, length of the biggest root and number of buds. The others seedlings were planted in trays of styrofoam and after four months the rate of survival were evaluated. The most favorable genotype for the in vitro propagation and acclimatization was the crossing DF18 x DF13.<p><p>A hibridação de orquídeas é realizada para propiciar a produção de cultivares de interesse comercial que apresentem alto vigor, grande número de fores e variabilidade de cores. O trabalho teve por objetivo a seleção de genótipos de Dendrobium phalaenopsis favoráveis para a propagação in vitro e aclimatização, resultantes de cruzamentos e autofecundações de plantas matrizes selecionadas. Foram utilizadas 56 plantas de D. phalaenopsis para a realização dos cruzamentos e autofecundações, totalizando 109 combinações. Dos 109 cruzamentos e autofecundações realizados, apenas 13 cruzamentos e 3 autofecundações apresentaram número de plântulas sufcientes para as avaliações. Após cinco meses, 15 plântulas de cada cruzamento e autofecundação foram submetidas à avaliação das características: comprimento da parte aérea, número de raízes, peso da massa fresca total, comprimento da maior raiz e número de brotações. As demais foram plantadas em bandejas de isopor e após quatro meses foi avaliado a taxa de sobrevivência. O genótipo mais favorável para propagação in vitro e aclimatização foi o cruzamento DF18 x DF13