20 resultados para image reduction algorith
Resumo:
In a time of fierce competition between regions, an image serve as a basis to develop a strong sense of community, which fosters trust and cooperation that can be mobilized for regional growth. A positive image and reputation could be used in the promotional activities of the region benefiting all the stakeholders as a whole. Mega cultural events are frequently used to attract tourists and investments to a region, but also to enhance the city’s image. This study adopts a marketing/communication perspective of city’s image, and intends to explain how the image of the city is perceived by their residents. Specifically, we intend to compare the perceptions of residents that effectively participated in the Guimarães European Capital of Culture (ECOC) 2012 (engaged residents), and the residents that only assisted to the event (attendees). Several significant findings are reported and their implications for event managers and public policy administrators presented, along with the limitations of the study.
Resumo:
BACKGROUND AND PURPOSE: A single bout of aerobic exercise acutely decreases blood pressure, even in older adults with hypertension. Nonetheless, blood pressure responses to aerobic exercise in very old adults with hypertension have not yet been documented. Therefore, this study aimed to assess the effect of a single session of aerobic exercise on postexercise blood pressure in very old adults with hypertension. METHODS: Eighteen older adults with essential hypertension were randomized into exercise (N = 9, age: 83.4 ± 3.2 years old) or control (N = 9, age: 82.7 ± 2.5 years old) groups. The exercise group performed a session of aerobic exercise constituting 2 periods of 10 minutes of walking at an intensity of 40% to 60% of the heart rate reserve. The control group rested for the same period of time. Anthropometric variables and medication status were evaluated at baseline. Heart rate and systolic and diastolic blood pressures were measured at baseline, after exercise, and at 20 and 40 minutes postexercise. RESULTS: Systolic blood pressure showed a significant interaction for group × time (F3,24 = 6.698; P = .002; ηp = 0.153). In the exercise group, the systolic blood pressure at 20 (127.3 ± 20.9 mm Hg) and 40 minutes (123.7 ± 21.0 mm Hg) postexercise was significantly lower in comparison with baseline (135.6 ± 20.6 mm Hg). Diastolic blood pressure did not change. Heart rate was significantly higher after the exercise session. In the control group, no significant differences were observed. CONCLUSIONS: A single session of aerobic exercise acutely reduces blood pressure in very old adults with hypertension and may be considered an important nonpharmacological strategy to control hypertension in this age group.
Resumo:
This work aims to evaluate the feasibility of using image-based cytometry (IBC) in the analysis of algal cell quantification and viability, using Pseudokirchneriella subcapitata as a cell model. Cell concentration was determined by IBC to be in a linear range between 1 × 105 and 8 × 106 cells mL−1. Algal viability was defined on the basis that the intact membrane of viable cells excludes the SYTOX Green (SG) probe. The disruption of membrane integrity represents irreversible damage and consequently results in cell death. Using IBC, we were able to successfully discriminate between live (SG-negative cells) and dead algal cells (heat-treated at 65 °C for 60 min; SG-positive cells). The observed viability of algal populations containing different proportions of killed cells was well correlated (R 2 = 0.994) with the theoretical viability. The validation of the use of this technology was carried out by exposing algal cells of P. subcapitata to a copper stress test for 96 h. IBC allowed us to follow the evolution of cell concentration and the viability of copper-exposed algal populations. This technology overcomes several main drawbacks usually associated with microscopy counting, such as labour-intensive experiments, tedious work and lack of the representativeness of the cell counting. In conclusion, IBC allowed a fast and automated determination of the total number of algal cells and allowed us to analyse viability. This technology can provide a useful tool for a wide variety of fields that utilise microalgae, such as the aquatic toxicology and biotechnology fields.
Resumo:
Este estudo tem como finalidade analisar a possibilidade de implementação e integração do sistema de gestão da responsabilidade social numa empresa de engenharia e construção, de acordo com a norma NP 4469-1 (2008). Um dos objetivos deste trabalho é explorar uma das atividades fundamentais para o crescimento da economia: a construção. Esta funciona como barómetro da economia nacional, ou seja, movimenta vários setores importantes na sua cadeia de produção, contribuindo na criação de riqueza como também de emprego. Como consequência das mudanças na economia nos últimos anos, o comércio nacional transformou-se em comércio globalizado, tendo como mercado não só um país mas o mundo inteiro. As empresas veem isso como um desafio, independentemente da sua dimensão. A redução de custos e a diferenciação não podem ser a única fonte de competitividade. A recente situação de instabilidade económica mundial impulsiona as empresas a inovarem na sua imagem para com os stakeholders e, assim, garantir o seu desenvolvimento e sustentabilidade financeira. A temática da Responsabilidade Social Empresarial (RSE) surgiu da necessidade de existir um espírito empresarial responsável, ao encontro do conceito de desenvolvimento sustentável (Baylis e Smith, 2005). Apesar da ampla divulgação da noção de responsabilidade social das empresas, não se verifica, no entanto, uma definição exata da mesma, pois o tema tem sido abordado de diversas formas e tem dividido opiniões ao longo dos anos. A responsabilidade social é, assim, um fruto da gestão das organizações e das profundas críticas sociais, legais, éticas e económicas, inspiradas nos parâmetros da obtenção de valor social (Parra, 2003). A sustentabilidade revela uma mudança de paradigma do mundo empresarial, na medida em que as empresas devem adotar práticas socialmente responsáveis, que integrem de forma voluntária as preocupações ambientais, sociais e económicas no desenvolvimento das suas atividades operacionais e das suas interações com as partes interessadas.
Resumo:
High-content analysis has revolutionized cancer drug discovery by identifying substances that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high-resolution biofluorescence images from assays allow precise quantitative measures enabling the distinction of small molecules of a host cell from a tumor. In this work, we are particularly interested in the application of deep neural networks (DNNs), a cutting-edge machine learning method, to the classification of compounds in chemical mechanisms of action (MOAs). Compound classification has been performed using image-based profiling methods sometimes combined with feature reduction methods such as principal component analysis or factor analysis. In this article, we map the input features of each cell to a particular MOA class without using any treatment-level profiles or feature reduction methods. To the best of our knowledge, this is the first application of DNN in this domain, leveraging single-cell information. Furthermore, we use deep transfer learning (DTL) to alleviate the intensive and computational demanding effort of searching the huge parameter's space of a DNN. Results show that using this approach, we obtain a 30% speedup and a 2% accuracy improvement.