Green nanocomposites as carriers for slow-release of tebuconazole.

Resumo

Monitoramento da liberação de CO2 de solo sob diferentes sistemas de cultivo e manejos de arroz irrigado.

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Cooperation between university and industry in the research of the suitability of agile methodologies in software development

Choosing a proper approach to manage a software development project is critical to increasing the chances to succeed in the venture. One of the great dilemmas nowadays concerns the option for an Agile or a traditional approach. There are several characteristics of software projects and the business environment in which they are carried out that must be considered while choosing the most appropriate development process. Although Agile development methodologies have been increasingly expanding and consolidating worldwide as an effective way of building software in the last two decades, they are not a one-size-fits-all approach. Knowing when to use Agile and which methodology is most suitable are the great questions that we aimed to answer in this study. In this paper, through a comprehensive revision of the Agile literature and an exploratory study, with the realization of focus group sessions with Agile practitioners and an interview with an Agile expert actively engaged in the software industry, we explored the characteristics of software development projects and organisational environments, identifying those that favour the use of an Agile approach. We also studied the main aspects that lead Agile teams to opt for one of the common Agile frameworks: Scrum, Extreme Programming (XP), Kanban, or Lean Software Development (LSD). The major goal of our study, clarifying the main aspects to be considered in the choice of an Agile methodology, is to support the decision-maker in the process of selecting an appropriate development approach.info:eu-repo/semantics/acceptedVersio

Protocolo de avaliação da qualidade física e química de cebola.

Neste protocolo, são relatadas as informações necessárias para a avaliação da qualidade química e física em cebola, baseadas em adaptações e modificações realizadas no laboratório de pós-colheita da Embrapa Hortaliaças.bitstream/item/72191/1/cot-831.pd

Avaliação de unidade de apodrecimento de madeiras.

Resumo

Utilização de casca de pinhão para fabricação de compósitos.

Resumo

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

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

Desempenho de borregos desmamados da raça Barriga Negra em Roraima.

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