Compartilhando sabedoria! Sentidos atribuídos às tecnologias por crianças

O artigo possui o objetivo de identificar os sentidos atribuídos à tecnologia e como a relação da criança com os artefatos tecnológicos é compreendida pela mesma. Para tanto, foram feitas entrevistas individuais fechadas com 45 crianças de 10 a 12 anos de idade. Durante a entrevista utilizou-se a associação livre, bem como a hierarquização das palavras associadas, entre outro, ao termo indutor: ‘tecnologia e criança’. Nesta hierarquização, deveriam escolher a palavra associada que seria a mais importante justificando essa escolha. Os resultados indicam que nas associações as crianças destacaram os aparelhos presentes no cotidiano infantil e a forma como os utilizam, representando o ‘ethos tecnológico’ incorporado em suas vivências.

Estimating bias in causes of death ascertainment in the Finnish Randomized Study of Screening for Prostate Cancer

Background: Precise cause of death (CoD) ascertainment is crucial in any cancer screening trial to avoid bias from misclassification due to excessive recording of diagnosed cancer as a CoD in death certificates instead of non-cancer disease that actually caused death. We estimated whether there was bias in CoD determination between screening (SA) and control arms (CA) in a population-based prostate cancer (PCa) screening trial. Methods: Our trial is the largest component of the European Randomized Study of Screening for Prostate Cancer with more than 80,000 men. Randomly selected deaths in men with PCa (N = 442/2568 cases, 17.2%) were reviewed by an independent CoD committee. Median follow-up was 16.8 years in both arms. Results: Overdiagnosis of PCa was present in the SA as the risk ratio for PCa incidence was 1.19 (95% confidence interval (CI) 1.14-1.24). The hazard ratio (HR) for PCa mortality was 0.94 (95% CI 0.82-1.08) in favor of the SA. Agreement with official CoD registry was 94.6% (k = 0.88) in the SA and 95.4% (k = 0.91) in the CA. Altogether 14 PCa deaths were estimated as false-positive in both arms and exclusion of these resulted in HR 0.92 (95% CI 0.80-1.06). Conclusions: A small differential misclassification bias in ascertainment of CoD was present, most likely due to attribution bias (overdiagnosis in the SA). Maximum precision in CoD ascertainment can only be achieved with independent review of all deaths in the diseased population. However, this is cumbersome and expensive and may provide little benefit compared to random sampling. (C) 2016 Elsevier Ltd. All rights reserved.Peer reviewe

Preconditions and tools for cross-sectoral regional industrial GHG and energy efficiency policy--A Finnish standpoint

The aim of this paper is to develop an approach and tools for cross-sectoral regional industrial GHG and energy policies. These policies can be conducted at different levels of society. To achieve real results in energy efficiency improvements and in GHG reductions, the policies must be focused on the correct levels in society. In Finland, the province level seems to be a reasonable level for a policy targeted at industry. This paper proposes a category for the ways industry uses energy: building energy users, major users of electricity for process/production, major users of heat for process/production and direct combustion users. This approach gives opportunities for developing regional cooperation among different industries. The approach is also important between industries and society, so that there are integrated solutions which e.g. utilise district heating and biofuel potentials. The individual technologies like electric motors, pumps, fans, heat recovery equipment and boilers do not seem to have any significant potentials for improvements in energy efficiency by the EU target year 2020. However, there are opportunities but they are at system levels: how effectively the individual technologies are applied as a part of industrial systems. This fact supports the idea of energy use categorising.Industry Regional energy policy Greenhouse gas emissions