354 research outputs found

    FIT Count Brasil: monitoramento de visitantes florais por contagem.

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    A Série de livros "Ciência Cidadã" tem como objetivo apresentar ao público diferentes questões científicas que podem ser trabalhadas com o auxílio de cientistas cidadãos e motivar diferentes pessoas (como você, por exemplo) a atuarem como cientistas cidadãos. No presente livro, apresentamos o protocolo intitulado "FIT COUNT: contagem cronometrada de visitantes florais"

    Scientific, sustainability and regulatory challenges of cultured meat

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    Producing meat without the drawbacks of conventional animal agriculture would greatly contribute to future food and nutrition security. This Review Article covers biological, technological, regulatory and consumer acceptance challenges in this developing field of biotechnology. Cellular agriculture is an emerging branch of biotechnology that aims to address issues associated with the environmental impact, animal welfare and sustainability challenges of conventional animal farming for meat production. Cultured meat can be produced by applying current cell culture practices and biomanufacturing methods and utilizing mammalian cell lines and cell and gene therapy products to generate tissue or nutritional proteins for human consumption. However, significant improvements and modifications are needed for the process to be cost efficient and robust enough to be brought to production at scale for food supply. Here, we review the scientific and social challenges in transforming cultured meat into a viable commercial option, covering aspects from cell selection and medium optimization to biomaterials, tissue engineering, regulation and consumer acceptance

    Development of a photosynthesis model with an emphasis on ecological applications

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    In this paper, a description of photosynthesis in a single leaf is developed that separates physiological sub-processes and that is practical to apply as an ecological tool. Temperature dependencies are emphasized with the ultimate aim of linking such a description of photosynthesis with equations describing the energy budget of particular leaves. The description of photosynthesis can be applied to C 4 plants at this time and is needed to describe photosynthesis in C 3 plants when photorespiration is included. If the model is used to analyze at various times the response of a plant adjusting its metabolism to changes in light, temperature, or other factors experienced during growth, we will obtain a dynamic picture of the acclimation process. It will also be possible to determine the phenotypic plasticity of particular plants with respect to the metabolic sub-processes outlined.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47715/1/442_2004_Article_BF00582888.pd

    Evaluation strategies for isotope ratio measurements of single particles by LA-MC-ICPMS

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    Data evaluation is a crucial step when it comes to the determination of accurate and precise isotope ratios computed from transient signals measured by multi-collector–inductively coupled plasma mass spectrometry (MC-ICPMS) coupled to, for example, laser ablation (LA). In the present study, the applicability of different data evaluation strategies (i.e. ‘point-by-point’, ‘integration’ and ‘linear regression slope’ method) for the computation of (235)U/(238)U isotope ratios measured in single particles by LA-MC-ICPMS was investigated. The analyzed uranium oxide particles (i.e. 9073-01-B, CRM U010 and NUSIMEP-7 test samples), having sizes down to the sub-micrometre range, are certified with respect to their (235)U/(238)U isotopic signature, which enabled evaluation of the applied strategies with respect to precision and accuracy. The different strategies were also compared with respect to their expanded uncertainties. Even though the ‘point-by-point’ method proved to be superior, the other methods are advantageous, as they take weighted signal intensities into account. For the first time, the use of a ‘finite mixture model’ is presented for the determination of an unknown number of different U isotopic compositions of single particles present on the same planchet. The model uses an algorithm that determines the number of isotopic signatures by attributing individual data points to computed clusters. The (235)U/(238)U isotope ratios are then determined by means of the slopes of linear regressions estimated for each cluster. The model was successfully applied for the accurate determination of different (235)U/(238)U isotope ratios of particles deposited on the NUSIMEP-7 test samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00216-012-6674-3) contains supplementary material, which is available to authorized users
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