Diagnóstico da mortalidade infantil em Pelotas no período 2005-2008: fatores de risco e tendências

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As músicas do gênero funk ostentação vêm ganhando destaque na mídia brasileira. Suas letras carregam os nomes de diversas marcas de grifes nacionais e internacionais, e direcionam para o consumo dessas marcas globalizadas com o intuito de vender um estilo de vida e normas de comportamento para nossa sociedade contemporânea. O gênero musical da ostentação, portanto, é o foco do estudo. Analisa-se o discurso pronunciado em duas letras de músicas. Em uma delas – Nós de nave – fica evidenciada a falsa promessa de inclusão social. Incentiva-se o consumo desenfreado de produtos de luxo pelo público-alvo para o qual esse nicho musical é voltado: a juventude. Seu mote é a ideia de que a desigualdade social pode ser amenizada quando adquiridos os produtos de luxo das marcas famosas. Já a outra letra – intitulada Resposta ao funk ostentação –, de autoria de Edu Krieger, ganha destaque justamente por recriminar, a cada verso, a alusão à cultura do consumo por meio da ostentação do luxo e abordar seus impactos na cultura e na identidade juvenil.Palavras-chaves: Funk ostentação. Consumo. Marcas de luxo.  Inclusão social. ABSTRACTThe songs of the genre funk ostentation have been gaining prominence in the Brazilian media. His lyrics carry statements of several brands of national and international brands, which govern to a consumption of globalized brands with the intention of selling a lifestyle or way of being in our contemporary society. The ostentation genre will be the focus of study, in which it will analyze the speeches pronounced in two letters of songs of the genre. One of the lyrics is evidenced a "false promise" of social inclusion, when they encourage an unbridled consumption of luxury products, especially to the target audience where the musical rhythms are directed. The other lyrics are highlighted in this study, titled "Response to funk ostentation" by Edu Krieger, in which he reproaches each verse of his song for an allusion to a culture of consumption through the ostentation of luxury, and the Impacts on youth culture and identity by encouraging the consumption of luxury brands as a form of social status and guaranteeing a false social inclusion. The song lyrics for Mc Boy do Chame gain musical intonation when he recounts in his verses that social inequality can be achieved when he boasts the power of money in the conquest of luxury products / brands and famous brands.Keywords:Ostentation funk. Consumism. Luxury brands. Social inclusion

Potentialities of remote teams in the innovation process in an organization through the design management

Design management and innovation give companies competitive advantages. In this scenario, the involvement of employees for generation of innovation is an important factor to be developed within the organization. Therefore, this research aims to identify the potentialities of employees from Sales and Technical Assistance areas for the innovation process. These remote teams work outside the organization in touch with the market and know the necessities of the market and consumers. This survey of the potential is motivated by the possibility of integration of employees who work in the field to participate and get involved with innovation in the organization. The research was conducted through a bibliographical research and application in a case study in a construction consumer goods company, based on design management and human centered design. The case study is divided in two steps: mapping and diagnosis, to easily collect information. As a result, in this paper, we will demonstrate the requirements and potential correlation of these teams that allow the creation of an innovation process focused on the routine and life of these employees.Keywords: design management, innovation, remote teams, employee

Post-traumatic osteoarthritis in mice following mechanical injury to the synovial joint

We investigated the spectrum of lesions characteristic of post-traumatic osteoarthritis (PTOA) across the knee joint in response to mechanical injury. We hypothesized that alteration in knee joint stability in mice reproduces molecular and structural features of PTOA that would suggest potential therapeutic targets in humans. The right knees of eight-week old male mice from two recombinant inbred lines (LGXSM-6 and LGXSM-33) were subjected to axial tibial compression. Three separate loading magnitudes were applied: 6N, 9N, and 12N. Left knees served as non-loaded controls. Mice were sacrificed at 5, 9, 14, 28, and 56 days post-loading and whole knee joint changes were assessed by histology, immunostaining, micro-CT, and magnetic resonance imaging. We observed that tibial compression disrupted joint stability by rupturing the anterior cruciate ligament (except for 6N) and instigated a cascade of temporal and topographical features of PTOA. These features included cartilage extracellular matrix loss without proteoglycan replacement, chondrocyte apoptosis at day 5, synovitis present at day 14, osteophytes, ectopic calcification, and meniscus pathology. These findings provide a plausible model and a whole-joint approach for how joint injury in humans leads to PTOA. Chondrocyte apoptosis, synovitis, and ectopic calcification appear to be targets for potential therapeutic intervention

Proportion constrained weakly supervised histopathology image classification

Multiple instance learning (MIL) deals with data grouped into bags of instances, of which only the global information is known. In recent years, this weakly supervised learning paradigm has become very popular in histological image analysis because it alleviates the burden of labeling all cancerous regions of large Whole Slide Images (WSIs) in detail. However, these methods require large datasets to perform properly, and many approaches only focus on simple binary classification. This often does not match the real-world problems where multi-label settings are frequent and possible constraints must be taken into account. In this work, we propose a novel multi-label MIL formulation based on inequality constraints that is able to incorporate prior knowledge about instance proportions. Our method has a theoretical foundation in optimization with logbarrier extensions, applied to bag-level class proportions. This encourages the model to respect the proportion ordering during training. Extensive experiments on a new public dataset of prostate cancer WSIs analysis, SICAP-MIL, demonstrate that using the prior proportion information we can achieve instance-level results similar to supervised methods on datasets of similar size. In comparison with prior MIL settings, our method allows for ∼ 13% improvements in instance-level accuracy, and ∼ 3% in the multi-label mean area under the ROC curve at the bag-level.Spanish Government PID2019-105142RB-C2European Commission 860627Generalitat Valenciana/European Union through the European Regional Development Fund (ERDF) of the Valencian Community IDIFEDER/2020/030Universitat Politecnica de Valenci

Data-Driven Reporting - an On-Going (R)Evolution? A Longitudinal Analysis of Projects Nominated for the Data Journalism Awards 2013-2015

The emergence of data-driven journalism (DDJ) can be understood as journalism’s response to the datafication of society. We retrace the development of this emerging reporting style by looking at what may be considered the gold‐standard in data‐driven reporting: projects that were nominated for the Data Journalism Awards (DJA), a prize issued annually by the Global Editors Network. Using a content analysis of the nominees from 2013 to 2015 (n=179) we examine if and how, among other aspects, data sources and types, visualisation strategies, interactive features, topics, and types of nominated media outlets have changed over the years. Results suggest, for instance, that the set of structural elements data‐driven pieces are built upon remains rather stable, that data journalism is increasingly personnel intensive and progressively spreading around the globe, and that journalists, while still concentrating on data from official institutions, are increasingly looking to unofficial datasources for their stories

Karyological analysis of Proechimys cuvieri and Proechimys guyannensis (Rodentia, Echimyidae) from central Amazon

The aim was to characterize the karyotype of rodents of the genus Proechimys from three localities in the central Brazilian Amazon, in the search for new markers that might shed light on our understanding of the taxonomy and evolutionary history of this taxon. Two karyotypes were found, viz., 2n = 28, FN = 46 in individuals from the NRSP (Cuieiras River) and REMAN (Manaus), and 2n = 46, FN = 50 in individuals from the Balbina Hydroelectric Plant. While individuals with the karyotype with 2n = 28 chromosomes were morphologically associated with Proechimys cuvieri, their karyotype shared similarities with those of the same diploid number in two other regions. Although three karyotypes are described for Proechimys cuvieri, no geographic distribution pattern that defined a cline could be identified. Based on the morphological examination of voucher specimens and additional results from molecular analysis, the karyotype with 2n = 46 and FN = 50 could be associated with P. guyannensis

Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning

[EN] The annotation of large datasets is often the bottleneck in the successful application of artificial intelligence in computational pathology. For this reason recently Multiple Instance Learning (MIL) and Semi Supervised Learning (SSL) approaches are gaining popularity because they require fewer annotations. In this work we couple SSL and MIL to train a deep learning classifier that combines the advantages of both methods and overcomes their limitations. Our method is able to learn from the global WSI diagnosis and a combination of labeled and unlabeled patches. Furthermore, we propose and evaluate an efficient labeling paradigm that guarantees a strong classification performance when combined with our learning framework. We compare our method to SSL and MIL baselines, the state-of-the-art and completely supervised training. With only a small percentage of patch labels our proposed model achieves a competitive performance on SICAPv2 (Cohen's kappa of 0.801 with 450 patch labels), PANDA (Cohen's kappa of 0.794 with 22,023 patch labels) and Camelyon16 (ROC AUC of 0.913 with 433 patch labels). Our code is publicly available at https://github.com/arneschmidt/ssl_and_mil_cancer_classification.This work was supported in part by the European Union's Horizon 2020 Research and Innovation Program through the Marie Skodowska Curie (Cloud Artificial Intelligence For pathologY (CLARIFY) Project) under Grant 860627, and in part by the Spanish Ministry of Science and Innovation under Project PID2019-105142RB-C22.Schmidt, A.; Silva-Rodríguez, J.; Molina, R.; Naranjo Ornedo, V. (2022). Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. IEEE Access. 10:9763-9773. https://doi.org/10.1109/ACCESS.2022.3143345976397731