A insuficiência de doadores de sangue e a limitada oferta de bolsas é uma realidade na maioria dos Serviços de Hemoterapia, principalmente em épocas festivas e em períodos delicados, como a pandemia de COVID-19. Nessa perspectiva, a produção de materiais que incentivem a doação sanguínea e esclareçam as dúvidas sobre tal processo se faz necessária. O objetivo do presente estudo foi transformar uma página estática em uma página web animada e criar vídeos animados com conteúdos informativos e motivacionais sobre a doação de sangue. Para o desenvolvimento, as ferramentas open source utilizadas foram Inkscape para a formatação de imagens vetoriais, Wick Editor para a criação das animações e exportação no formato gif, e Animator para a animação dos vídeos. Para a validação, realizou-se uma pesquisa de satisfação. A análise dos resultados demonstrou que tanto a página web quanto os vídeos apresentam potencial de esclarecer e incentivar a doação de sangue na população.
Crowdsourcing in software development uses a large pool of developers on-demand to outsource parts or the entire software project to a crowd. To succeed, this requires a continuous influx of developers, or simply crowdworkers. However, crowdworkers face many barriers when attempting to participate in software crowdsourcing. Often, these barriers lead to a low number and poor quality of submitted solutions. In our previous work, we identified several barriers faced by crowdworkers including finding a task according to his/her abilities, setting up the environment to perform the task, and managing one's personal time. We also proposed six strategies to overcome or minimize these barriers. In this paper, these six strategies are evaluated questioning Software Crowdsourcing (SW CS) experts. The results show that software crowdsourcing needs to: (i) provide a system that helps matching tasks requirements and crowdworker's profile; (ii) adopt containers or virtual machines to help crowdworkers set up their environment to perform the task, (iii) plan and control crowdworkers' personal time, and (iv) adopt communication channels to allow crowdworkers to clarify questions about the requirements and, as a consequence, finish the tasks.
In this paper we present a genetic algorithm for solving the gemstone cutting problem. The goal of this problem is to find the largest faceted cut design which fits inside a given rough gemstone. We propose a fast algorithm for finding the largest scaling factor of a faceted cut, once its center and orientation angles are given, as well as a real-valued genetic algorithm for finding the cut having the largest volume. Finally we present experimental results obtained using a set of 50 scanned gemstones and compare the results with similar ones from the literature.
HighlightsCSM-NWheat, a DSSAT wheat crop model, was coupled with a pest module named PEST.The coupled model can simulate the impact of pest and disease damage on wheat crops.Pest damage is expressed in daily steps by communication links called coupling points.Coupling points are linked with state variables at which pest damage can be applied.Field pest-scouting reports and linear interpolation are used to compute damage rates.Abstract. Wheat is one of the most important global staple crops and is affected by numerous pests and diseases. Depending on their intensity, pests and diseases can cause significant economic losses and even crop failures. Pest models can assist decision-making, thus helping reduce crop losses. Most wheat simulation models account for abiotic stresses such as drought and nutrients, but they do not account for biotic stresses caused by pests and diseases. Therefore, the objective of this study was to couple a dynamic pest and disease damage module to the DSSAT model CSM-NWheat. Coupling points were integrated into the CSM-NWheat model for applying daily damage to all plant components, including leaves, stems, roots, and grains, the entire plant, and to the assimilate supply. The coupled model was tested by simulating a wheat crop with virtual damage levels applied at each coupling point. Measured foliar damage caused by tan spot (Pyrenophora tritici-repentis) was also simulated. The modified model accurately estimated the reduction in leaf area growth and the yield loss when compared with observed data. With the incorporation of the pest module, CSM-NWheat can now predict the potential impact of pests and diseases on wheat growth and development, and ultimately economic yield. Keywords: Biotic stress, Decision support, DSSAT, Model coupling, Yield loss.
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