The amount of digital pornographic content over the Internet grows daily and accessing such a content has become increasingly easier. Hence, there is a real need for mechanisms that can protect particularly-vulnerable audiences (e.g., children) from browsing the web. Recently, object detection methods based on deep neural networks such as CNNs have improved the effectiveness and efficiency of identifying and blocking pornographic content. Even though improvements in detecting intimate parts have been significant, the occlusion of the content is still primarily done by either blurring or removing regions of the image in an intrusive fashion. A recent study has addressed the problem of censoring the pornographic content in a non-intrusive way by generating the so-called seamless censorship via cycle-consistent generative adversarial networks. Such an approach has managed to automatically add bikinis to naked women without explicit supervision or paired training data. In this paper, we extend that method by designing a novel cycleconsistency framework that leverages sensitive information from an attention-based multi-label convolutional neural network. We evaluate the quality of our novel generative model by conducting a web survey with over 1000 opinions regarding the resulting images from our method and from baseline approaches. Results of the survey show that our method considerably improves the state-of-the-art on the seamless censorship task.
incidentalomas were identified in the pre-intervention group (2019). Of the 19 adrenal incidentalomas in the pre-intervention group, only 5 (26%) underwent a complete biochemical workup. In 2022, a total of 19 adrenal incidentalomas were identified. 11 of the 19 reports had recommendation for referral to Urology/Endocrinology or recommendation for further biochemical assessment. 8/11 (73%) of these patients underwent a full biochemical evaluation. Only 1 of 8 patients with adrenal incidentaloma that did not have the intervention included within the radiology report had a biochemical workup performed at follow up. We found that there were more patients that underwent a complete biochemical evaluation in the post-intervention group (p<0.001).CONCLUSIONS: More patients had the appropriate biochemical evaluation performed for an adrenal incidentaloma when the radiology report included "Urology or endocrinology consultation recommended". This is a simple intervention that should be implemented at other treatment facilities to improve the quality of care for patients.
RESUMO-O objetivo do presente trabalho é explorar a viabilidade econômico-financeira do investimento em uma reposição de ativo no setor de ração animal. O estudo não apenas se baseou na modelagem do fluxo de caixa estimado, mas também na avaliação de seu risco, utilizando uma abordagem probabilística, valendo-se da técnica de simulação de Monte Carlo. O modelo foi calibrado fazendo testes iniciais para balancear esforço computacional e estabilidade dos resultados. Os resultados foram marcados por uma dispersão muito grande de resultados, o que mostra o risco existente no setor. Apesar do resultado favorável em média, o alto desvio-padrão mostrou um comportamento próximo do aleatório em uma ampla faixa de valores. Recomenda-se, portanto, estratégias de risco para investimentos como o apresentado, como a buscar por travas financeiras da matéria-prima.
Este artigo apresenta um sistema de recomendação para apoio a colaboração através de pessoas. O sistema dispõe de uma sala de chat privada, onde pode-se trocar mensagens textuais. Analisando as mensagens, o sistema descobre os temas discutidos e então este poderá ajudar outras pessoas, recomendando fontes complementares de conhecimento. Além disso, as sessões de chat são armazenadas, podendo ser recuperadas futuramente, então, essas pessoas poderão rever processos decisórios ou aprender com as discussões passadas. Análises estatísticas das sessões podem revelar importantes conhecimentos sobre as discussões.
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