2,223 research outputs found

    Competição de cultivares de mandioca (Manihot esculenta Crantz) no Município de Irará - Bahia.

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    Com o objetivo de conhecer os melhores cultivares para produção de raíz de mandioca (Manihot esculenta Crantz) no Município de Irará na Bahia, conduziu-se um experimento de competição, testando-se oito cultivares bons produtores da região de Cruz das Almas com dois comuns da Região em estudo. Os cultivares testados foram: Salangor Preta, Cigana Preta, Sutinga Preta, Mamão, Aimpim Bravo, Milagrosa, Graveto, Salangorzinha, Palmeira Preta e Gemedeira. A interpretação dos resultados obtidos permitiu concluir que os melhores cultivares para produção de raíz foram Aipim Bravo, Mamão e Palmeira Preta, sendo o primeiro estatisticamente superior aos demais.bitstream/item/126640/1/Competicao-de-cultivares-de-mandioca.pd

    Amyloid positron emission tomography candidates may focus more on benefits than risks of results disclosure

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    IntroductionGiven mounting calls to disclose biomarker test results to research participants, we explored factors underlying decisions by patients with mild cognitive impairment to receive amyloid imaging results.MethodsProspective, qualitative interviews were conducted with 59 participants (30 = mild cognitive impairment patients, 29 = care partners) from the scan arm of a randomized controlled trial on the effects of amyloid PET results disclosure in an Alzheimer Disease Research Center setting.ResultsSixty‐three percent of the participants were female, with an average age of 72.9 years, and most had greater than a high school level of education (80%). Primary motivations included: (1) better understanding one’s mild cognitive impairment etiology and prognosis to plan ahead, and (2) learning one’s brain amyloid status for knowledge’s sake, regardless of whether the information is actionable. Most participants demonstrated an adequate understanding of the scan’s limitations, yet instances of characterizing amyloid PET as a definitive test for Alzheimer’s disease occurred. Mention of potential drawbacks, such as negative psychological outcomes, was minimal, even among care partners.DiscussionFindings demonstrate a risk of disproportionate focus on possible benefits of testing among amyloid scan candidates and suggest a need to clearly emphasize the limitations of amyloid PET when counseling cognitively impaired patients and their families before testing. Future research should examine whether minimizing drawbacks at the pre‐imaging stage has adverse consequences on results disclosure.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152635/1/dad2jdadm201805003.pd

    Asymmetric Ramsey properties of random graphs involving cliques and cycles

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    We prove that for every ℓ, r ≥ 3, there exists c > 0 such that for (image found), with high probability there is a 2-edge-colouring of the random graph Gn,p with no monochromatic copy of Kr of the first colour and no monochromatic copy of Cℓ of the second colour. This is a progress on a conjecture of Kohayakawa and Kreuter

    Caracterização fisica e química de abóbora Cucurbita ficifolia Bouché cultivada em Brasília-DF: uma potencial hortaliça para tratamento da diabetes mellitus tipo 2.

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    Objetivou-se caracterizar química e fisicamente, a espécie domesticada de abóbora C. ficifolia Bouché cultivada em Brasília-DF, uma vez que há relatos na literatura quanto seu potencial efeito hipoglicemiante na diabetes mellitus tipo 2

    Cultivo de arroz irrigado orgânico no Rio Grande do Sul.

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    bitstream/item/46576/1/sistema-17.pd

    Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy

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    Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data-driven assistance. In the context of endoscopic video analysis, the accurate classification of organs in the field of view of the camera proffers a technical challenge. Herein, we propose a new approach to anatomical structure classification and image tagging that features an intrinsic measure of confidence to estimate its own performance with high reliability and which can be applied to both RGB and multispectral imaging (MI) data. Methods: Organ recognition is performed using a superpixel classification strategy based on textural and reflectance information. Classification confidence is estimated by analyzing the dispersion of class probabilities. Assessment of the proposed technology is performed through a comprehensive in vivo study with seven pigs. Results: When applied to image tagging, mean accuracy in our experiments increased from 65% (RGB) and 80% (MI) to 90% (RGB) and 96% (MI) with the confidence measure. Conclusion: Results showed that the confidence measure had a significant influence on the classification accuracy, and MI data are better suited for anatomical structure labeling than RGB data. Significance: This work significantly enhances the state of art in automatic labeling of endoscopic videos by introducing the use of the confidence metric, and by being the first study to use MI data for in vivo laparoscopic tissue classification. The data of our experiments will be released as the first in vivo MI dataset upon publication of this paper.Comment: 7 pages, 6 images, 2 table

    Identificação e controle com antibióticos de bactérias endofíticas contaminantes em explantes de batata micropropagados.

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    Este trabalho teve por objetivos isolar, caracterizar e identificar bactérias endofíticas contaminantes encontradas em tecidos de batata durante a micropropagação e selecionar antibióticos para o controle in vitro desses microrganismos por meio da determinação da concentração bactericida mínima inibitória. Brotações de batata apresentando contaminação bacteriana durante a etapa de multiplicação in vitro, foram superficialmente esterilizadas e os internódios transferidos para placas de Petri com ágar nutriente, onde permaneceram incubadas a 28°C por até cinco dias. Após purificação, as bactérias foram caracterizadas e identificadas por testes taxonômicos. Um total de oito estirpes bacterianas foram isoladas e identificadas como pertencentes às famílias Acetobacteriaceae (1) e Enterobacteriaceae (2) e aos gêneros Corynebacterium (3), Pseudomonas (1) e Xanthomonas (1). Os melhores resultados para a inibição do crescimento bacteriano foram obtidos com os antibióticos ampicilina, cloranfenicol, estreptomicina e tetraciclina em concentrações que variaram de 32 a 256 mg L-1

    Virtual Assistive System for Robotic Single Incision Laparoscopic Surgery

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    Single Incision Laparoscopic Surgery (SILS) reduces the trauma of large wounds decreasing the post-operative infections, but introduces technical difficulties for the surgeon, who has to deal with at least three instruments in a single incision. These drawbacks can be overcome with the introduction of robotic arms inside the abdominal cavity, but still remain difficulties in the surgical field vision, limited by the endoscope field of view. This work is aimed at developing a system to improve the information required by the surgeon and enhance the vision during a robotic SILS. In the pre-operative phase, the segmentation and surface rendering of organs allow the surgeon to plan the surgery. During the intra-operative phase, the run-time information (tools and endoscope pose) and the pre-operative information (3D models of organs) are combined in a virtual environment. A point-based rigid registration of the virtual abdomen on the real patient creates a connection between reality and virtuality. The camera-image plane calibration allows to know at run-time the pose of the endoscopic view. The results show how using a small set of 4 points (the minimal number of points that would be used in a real procedure) for the camera-image plane calibration and for the registration between real and virtual model of the abdomen, is enough to provide a calibration/registration accuracy within the requirements

    Influência dos atributos do solo sobre a produtividade de Pinus taeda.

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    O presente trabalho analisou os efeitos dos atributos do solo sobre a produtividade de Pinus taeda, em áreas da Klabin, em Telêmaco Borba, PR. Foram analisados oito sítios com árvores de 12 anos de idade, os quais foram selecionados pelo tipo de solo, textura e vegetação primária. Para a caracterização dos sítios foram realizadas coletas de amostras em três profundidades, sendo coletadas amostras indeformadas e amostras compostas, analisando-se as seguintes variáveis no solo: densidade global, porosidade total, macroporosidade, disponibilidade de água, fertilidade e granulometria. Selecionaram-se cinco árvores médias por sítio, nas quais foram medidas altura total, altura comercial e DAP. Os resultados foram: solos de textura argilosa, independentemente da classe a que pertencem, os quais propiciaram maiores produtividades do Pinus taeda. Percebeu-se, de maneira geral, que essa produtividade é afetada pelas alterações geradas nos atributos físicos e químicos do solo, o que contraria vários estudos, que confirmaram que os atributos químicos do solo só apresentavam efeitos sobre a produtividade quando considerados em conjunto
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