1,904 research outputs found

    Reação de cultivares de milho inoculados com a bactéria Pantoea ananatis, agente causal da Mancha Branca do milho.

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    Suplemento. Edição dos Resumos do XLI Congresso Brasileiro de Fitopatologia, Belo Horizonte, MG, ago. 2008

    The Best Workplace According to an Artificial Intelligence Algorithm

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    This work opens an avenue for organizations to immediately understand why their employees want to leave for other opportunities in the job market and act in time, taking precise internal measures to avoid losing talented personnel that consumed substantial investments in training. Data were collected from two well-known websites over nine months, gathering a sample of 1,307 employee reviews of companies. The reviews refer to ten of the largest global organizations, often cited in recent articles as companies with outstanding organizational agility. One by one, the sample reviews were submitted to artificial intelligence (AI) algorithm that conducted a sentiment analysis. This procedure offered a ranking of organizations based on how happy employees work there, overriding other negative feelings, such as fear, sadness, and anger. The analysis results showed that Google was the place where people feel happiest. Other dimensions were identified and inspired reflections, such as the employees’ joy of belonging when comparing the current and former employees and the dimension of the best country to work in when the employer is a global organization. The study allowed us to infer which career position workers are more likely (positive sentiment) or less likely (negative sentiment) to commit to the organization. We believe that AI will emerge as an important tool in structuring organizational agility, allowing the concept of a great workplace to be developed and assessed in real-time. This research is aligned with studies that recognize the organization as a living organism where people are the main actors. We understand and hope that organizational processes will be revisited and will consider this new avenue, in due course, paving the way for the integration of external variables, such as emotions, to support human resources internal measures aimed at reversing low engagement and loss of talents

    Viabilidade de isolados de Pantoea ananatis agente causal da Mancha Branca do milho, em laboratório.

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    Edição dos Resumos do XLI Congresso Brasileiro de Fitopatologia, Belo Horizonte, MG, ago. 2008

    Reaction of maize inbred lines to the bacterium Pantoea ananas isolated from Phaeosphaeria leaf spot lesions.

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    A leaf spot disease in maize has been reported throughout all corn producing areas in Brazil, and its incidence and severity have increased significantly. Initial symptoms are characterized by the development of dark green water-soaked leaf spots, which later turn into straw-colored necrotic lesions. Some authors associated the symptoms of this disease to those of the disease Phaeosphaeria Leaf Spot caused by fungus Phaeosphaeria maydis (f. imperf. Phyllosticta sp.). However, we reported in previous works the involvement of a bacterium, the Pantoea ananas (syn. Erwinia ananas) as the initiator agent this disease. The aim of this work was to evaluate the behavior of corn genotypes when inoculated with P. ananas in the greenhouse. The results reinforced those previously obtained that showed the role of the bacterium as the initiator agent of the disease
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