Integração de um conversor de metadados Dublin-Core para RDF no sistema Gestor de Conteúdo.

Recursos Eletrônicos como vídeos e imagens podem ser descritos por metadados que são usados por motores de busca para melhorar os resultados de pesquisa. A Agência de Informação Embrapa é um sistema Web que possibilita a interação com informações tecnológicas e ao conhecimento gerado pela Embrapa e outras instituições de pesquisa. Objetivo. Tornar esses Recursos visíveis aos motores de busca a partir de um conversor dos metadados de recursos Dublin-Core para RDF (Figura1) disponíveis no website da Agência de Informação Embrapa.Trabalho apresentado na V Mostra de Trabalhos de Estagiários e Bolsistas, Campinas, out. 2009

Surgical Treatment of Intravenous Leiomyomatosis: The Role of the IVC Filter

IntroductionIntravenous leiomyomatosis is a rare, life-threatening intravenous tumor associated with uterine leiomyomata.ReportThis report describes the case of a 45-year-old woman with a history of weakness and exertional dyspnea, and an extensive intracaval mass extending to the right side of the heart. The tumor was successfully removed in a two-stage surgical procedure with an inferior vena cava (IVC) filter deployed before the second stage. An extensive DVT was observed postoperatively.DiscussionSurgical removal is the only effective treatment for intravenous leiomyomatosis, and the rate of recurrence remains unclear. An IVC filter should be placed routinely to prevent postoperative or late (in case of recurrence) pulmonary embolism

A decision-support system to Analyse Customer Satisfaction Applied to a Tourism Transport Service

Due to the perishable nature of tourist products, which impacts supply and demand, the possibility of analysing the relationship between customers’ satisfaction and service quality can contribute to increased revenues. Machine learning techniques allow the analysis of how these services can be improved or developed and how to reach new markets, and look for the emergence of ideas to innovate and improve interaction with the customer. This paper presents a decision-support system for analysing consumer satisfaction, based on consumer feedback from the customer’s experience when transported by a transfer company, in the present case working in the Algarve region, Portugal. The results show how tourists perceive the service and which factors influence their level of satisfaction and sentiment. One of the results revealed that the first impression associated with good news is what creates the most value in the experience, i.e., “first impressions matter”..info:eu-repo/semantics/publishedVersio

Measuring the Energy Efficiency of Evaporative Systems through a New Index - EvaCOP

Evaporative systems are probably the oldest technology for thermal comfort. However, they are still an essential technology in the food industry, environments for thermal comfort, and even for cooling data centers. Standards have been improved to compare the energy efficiency of this type of equipment. Using AHRI concepts with temperature data from the 29 most populous cities in the world, an EvaCOP index was created from temperatures that are easier to simulate than current parameters. The index parameters were tested in a laboratory located in Curitiba (Brazil). EvaCOP values of 45.58 and 25.77 W/W were found in the calculation in two different simulated equipment and compared with the compression cycle systems that in the most efficient machines is around 6.29 W/W.info:eu-repo/semantics/publishedVersio

Refrigeration of COVID-19 Vaccines: Ideal Storage Characteristics, Energy Efficiency and Environmental Impacts of Various Vaccine Options

This article considers the ideal storage conditions for multiple vaccine brands, such as Pfizer, Moderna, CoronaVac, Oxford–AstraZeneca, Janssen COVID-19 and Sputnik V. Refrigerant fluid options for each storage condition, thermal load to cool each type of vaccine and environmental impacts of refrigerants are compared. An energy simulation using the EUED (energy usage effectiveness design) index was developed. The Oxford–AstraZeneca, Janssen COVID-19 and CoronaVac vaccines show 9.34-times higher energy efficiency than Pfizer. In addition, a TEWI (total equivalent warming impact) simulation was developed that prioritizes direct environmental impacts and indirect in refrigeration. From this analysis, it is concluded that the cold storage of Oxford–AstraZeneca, Janssen COVID-19 and CoronaVac vaccines in Brazil generates 35-times less environmental impact than the Pfizer vaccine.info:eu-repo/semantics/publishedVersio

New HVAC Sustainability Index - TWI (Total Water Impact)

Sales of air conditioning are growing rapidly in buildings, more than tripling between 1990 and 2016. This energy use for air conditioning comes from a combination of rising temperatures, rising population and economic growth. Energy demand for climate control will triple by 2050, consuming more energy than that currently consumed altogether by the United States, the European Union and Japan. This increase in energy will directly impact water consumption, either to directly cool a condenser of an equipment or to serve indirectly as a basis for energy sources such as hydroelectric power that feed these heating, ventilation and air conditioning (HVAC) systems. Knowing the unique and growing importance of water, a new index, Total Water Impact (TWI) is presented, which allows a holistic comparison of the impact of water use on water, air and evaporative condensation climate systems. 200 and 500 TON (tons of refrigeration) air-cooled and water-cooled systems are theoretically compared to evaluate the general water consumption level. The TWI index is higher in the smallest water condensing system. That is, holistically, water consumption is higher in the water condensing system than in the air condensing system. Thus, this index provides a new insight about energy consumption and ultimately, about sustainability.info:eu-repo/semantics/publishedVersio

A longitudinal study on maternal depressive symptoms during the COVID-19 pandemic: the role of strict lockdown measures and social support

Objectives: This study examined the trajectory of perinatal depressive symptoms in Portuguese women during the COVID-19 pandemic and the role of individual, relational, and contextual risk and protective factors. Methods: This 3-wave longitudinal study followed 290 pregnant women from the third trimester of pregnancy until 6-months postpartum. Women self-reported on depressive symptoms, psychological (anxiety, perceived stress, mindfulness), relational (perceived social support, dyadic adjustment, sexual wellbeing), and contextual (lockdown status) factors. Results: Women who were under strict lockdown presented significantly higher scores of depressive symptoms at baseline (by 1.38 EPDS points) than women who were not under strict lockdown measures. Mixed Growth Models showed that trajectories of depressive symptoms were explained by differences in women’s baseline depression. Differences in women’s depressive symptoms at baseline were mainly explained by higher anxiety and lower social support (22% and 24% for women under lockdown; 39% and 6% for women not on lockdown, respectively). Conclusion: Preventative interventions targeted at pregnant women should aim to reduce anxiety and enhance women’s social support to prevent depression in pregnancy and postpartum during the COVID-19 pandemic

Estimativa de duração do período de molhamento foliar no estado de São Paulo.

A duração de período de molhamento (DPM) foliar é considerada um dos principais fatores para a ocorrência de doenças de planta. Embora importante, esse parâmetro climático não é geralmente registrado sistematicamente nas estações meteorológicas. Desta forma, procurase estimar a DPM por meio de modelos matemáticos. Foi obtido neste trabalho o modelo empírico para estimar DPM, utilizando dados diários de umidade relativa de 10 estações meteorológicas do IAC e de 6 anos específicos. Foi obtida a equação de regressão exponencial (R 2 = 0,7533) para estimativa da DPM média mensal (horas/dia) em função da umidade relativa. Foram obtidos mapas de umidade relativa e de DPM mensais para o estado de São Paulo. A DPM variou entre as regiões do estado e nas estações do ano. A equação de regressão obtida, associada ao emprego do Sistema de Informações Geográficas, permitiu obter as informações de DPM distribuídas espacialmente e identificar diferentes áreas em função da DPM

Estimativa da severidade do míldio da videira (Plasmopara viticola) no estado de São Paulo utilizando sistema de informações geográficas.

Foi estimada a severidade do míldio (Plasmopara viticola ) da videira no estado de São Paulo, utilizando um modelo de desenvolvimento, baseado em parâmetros climáticos (temperatura e duração do período de molhamento foliar). Foram avaliados três municípios (Jales, Jundiaí e São Miguel Arcanjo), representativos de dois importantes pólos vitícolas do estado. Utilizando as ferramentas do Sistema de Informações Geográficas foram confeccionados os mapas de severidade do míldio nos meses de setembro a abril. Foram observadas diferenças na severidade entre as regiões, bem como diferenças sazonais. A metodologia adotada permitiu caracterizar o estado quanto à susceptibilidade das regiões ao míldio da videira, diferenciando o município de Jales e os municípios de Jundiaí e São Miguel Arcanjo