Flowering and production of Palmer mango trees under organic compound and paclobutrazol application

The objective of this work was to evaluate the effects of applications of humified organic compound rates combined with paclobutrazol (PBZ) rates on the flowering, production, and fruit quality of Palmer mango trees grown in two production seasons (Seasons 1 and 2). Two experiments were conducted in different production seasons and areas in Matias Cardoso, MG, Brazil. A randomized block experimental design with four replications was used, in a 4×2+1 factorial arrangement, consisted of 4 humidified organic compound rates (10, 15, 20, and 25 mL plant-1), 2 PBZ rates (0.7 and 0.85 g per meter of canopy diameter), and a control (application of PBZ at 0.85 g per meter of canopy diameter). Vegetative, physiological, reproductive, production, and post-harvest fruit quality characteristics were evaluated. The data were subjected to analysis of variance and regression or mean tests. The treatments had significant effects on some characteristics in Season 1. Plants treated with the organic compound combined with PBZ had higher chlorophyll contents than those in the control. The increase in the organic compound rate linearly increased the total number of flowers and number of male flowers per axillary panicle, but decreased soluble solids content. The application of the lowest PBZ rate resulted in higher soluble solids content and titratable acidity in mango fruits. The treatments did not affect the evaluated characteristics in Season 2. The application of humidified organic compound combined with paclobutrazol showed no benefits for the management of floral induction in Palmer mango trees.The objective of this work was to evaluate the effects of applications of humified organic compound rates combined with paclobutrazol (PBZ) rates on the flowering, production, and fruit quality of Palmer mango trees grown in two production seasons (Seasons 1 and 2). Two experiments were conducted in different production seasons and areas in Matias Cardoso, MG, Brazil. A randomized block experimental design with four replications was used, in a 4×2+1 factorial arrangement, consisted of 4 humidified organic compound rates (10, 15, 20, and 25 mL plant-1), 2 PBZ rates (0.7 and 0.85 g per meter of canopy diameter), and a control (application of PBZ at 0.85 g per meter of canopy diameter). Vegetative, physiological, reproductive, production, and post-harvest fruit quality characteristics were evaluated. The data were subjected to analysis of variance and regression or mean tests. The treatments had significant effects on some characteristics in Season 1. Plants treated with the organic compound combined with PBZ had higher chlorophyll contents than those in the control. The increase in the organic compound rate linearly increased the total number of flowers and number of male flowers per axillary panicle, but decreased soluble solids content. The application of the lowest PBZ rate resulted in higher soluble solids content and titratable acidity in mango fruits. The treatments did not affect the evaluated characteristics in Season 2. The application of humidified organic compound combined with paclobutrazol showed no benefits for the management of floral induction in Palmer mango trees

Atypical Mannheimiosis in captive rheas (Rhea americana)

Mannheimia haemolytica (MH) is a major cause of respiratory disease in bovine complex (BRDC) that causes great economic losses. To this day, there are no reports of birds affected by this bacterium. The present report describes an atypical outbreak of mannheimiosis in captive rheas (Rhea americana). Mannheimia haemolytica (MH) é uma das principais causas da doença do complexo respiratório dos bovinos (DCRB) que causa grandes perdas econômicas. Até os dias atuais, não há relato de aves acometidas por tal bactéria. Relata-se um surto atípico de mannheimiose em emas em cativeiro (Rhea americana)

Papel da Excisão Total do Mesorreto no Tratamento Multimodal do Câncer de Reto

O tratamento do câncer de reto vem apresentando inúmeros avanços nas últimas décadas. Os altos índices de recidiva local estavam associados a uma sobrevida inadequada. Após a aquisição de uma série de recursos técnicos que aumentaram a preservação esfincteriana, uma modificação técnica proposta por Heald, em 1982, denominada de excisão total do mesorreto (ETM) proporcionou uma redução da recorrência local de 20% a 40% para menos de 10%. Nesta revisão, foram avaliados os princípios, resultados e complicações da ETM num cenário em que a quimioirradiação neo-adjuvante para tumores nos estádios II e III também tem papel fundamental no controle local e na sobrevida destes pacientes

ASPECTOS IMUNOLÓGICOS ASSOCIADOS À PROTEÇÃO GÁSTRICA FRENTE A INFECÇÃO POR Helicobacter pylori: PAPEL DOS LINFÓCITOS T CD4 (+) VIA EXPRESSÃO DE FOXP3

Helicobacter pylori is a Gram-negative bacterium that induces continuous inflammation in the gastric mucosa through the contribution of CD3+ and CD4+ T cells, causing several types of lesions such as: chronic gastritis, peptic ulcer and gastric cancer. As a result, T cells transfected with the Foxp3 gene involved in the inflammatory process begin to express regulatory cellular properties. This work aims to review the literature on the immunological aspects involved in gastric protection against H. pylori infection. Literature review carried out by searching articles in PubMed, Lilacs, MedLine and Scielo databases, using the keywords: “Helicobacter pylori”; "Immunology"; “Regulatory T lymphocytes”; “Gastric Ulcer” and the term “FOXP3”.Helicobacter pylori es una bacteria Gram-Negativa que induce una inflamación continua en la mucosa gástrica mediante el aporte de células T CD3+ y CD4+, provocando diferentes tipos de lesiones como: gastritis crónica, úlcera péptica y cáncer gástrico. Como resultado, las células T transfectadas con el gen FOXP3 involucrado en el proceso inflamatorio comienzan a expresar propiedades celulares reguladoras. Este trabajo tiene como objetivo revisar la literatura sobre los aspectos inmunológicos involucrados en la protección gástrica frente a la infección por H. pylori. Revisión de la literatura realizada mediante la búsqueda de artículos en las bases de datos PubMed, Lilacs, MedLine y Scielo, utilizando las palabras clave: “Helicobacter pylori”; "Inmunología"; “Linfocitos T reguladores”; “Úlcera gástrica” y el término “FOXP3”.A Helicobacter pylori é uma bactéria Gram-Negativa que induz inflamação continua na mucosa gástrica pela contribuição das células T CD3+ e T CD4+ causando diferentes tipos de lesões como: gastrite crônica, úlcera péptica e câncer gástrico. Com isso, as células T transfectadas com o gene FOXP3 envolvidas no processo inflamatório, passam a exprimir propriedades de células reguladoras. Este trabalho tem por objetivo revisar a literatura sobre os aspectos imunológicos envolvidos na proteção gástrica frente a infecção pela H. pylori. Revisão da literatura realizada por busca em artigos nas bases de dados PubMed, Lilacs, MedLine e Scielo, com o uso das palavras-chave: “Helicobacter pylori”; “Imunologia”; “Linfócitos T reguladores”; “Úlcera Gástrica” e o termo “FOXP3”

Malformações Arteriovenosa Cerebrais: uma revisão bibliográfica / Cerebral Arteriovenous Malformations: a bibliographic review

Esse estudo foi realizado com o intuito de realizar uma revisão sistemática dentro da literatura cientifica para poder melhor organizar o raciocínio clínicos quanto ao diagnóstico, tratamento e consequências de pacientes portadores de Malformações Arteriovenosa Cerebrais (MAV), uma vez que seu diagnóstico não é fácil de se realizar e a abordagem terapêutica varia de individuo em indivíduo. Contudo, entende-se que o MAV pode ser um dos diagnósticos diferenciais para tratamento de outras patologias através da apresentação da sintomatologia apresentadas pelo paciente admitidos em pronto atendimentos e que procuram clínicas de neurologia e/ou neurocirurgia para tratamento das sintomatologias mais brandas

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