957 resultados para Social Utility of Scientific Knowledge


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Breakfast skipping is a potentially modifiable behavior that has negative effects on health and is socioeconomically patterned. This study aimed to examine the intrapersonal (health, behavioral, and cognitive) and social factors associated with breakfast skipping. Nonpregnant women (n = 4123) aged 18-45 y from socioeconomically disadvantaged neighborhoods throughout Victoria, Australia, completed a postal questionnaire. Sociodemographic characteristics, diet, physical activity, sedentary behaviors, and cognitive and social factors were assessed by self-report. Breakfast skipping was defined in 2 ways: 1) "rarely/never" eating breakfast (n = 498) and 2) eating breakfast ≤2 d/wk (includes those who rarely/never ate breakfast; n = 865). Poisson regression was used to calculate prevalence ratios and linear trends, adjusting for covariates. The P values for linear trends are reported below. Compared with breakfast consumers, women who reported rarely/never eating breakfast tended to have poorer self-rated health (P-trend < 0.001), be current smokers (P-trend < 0.001), pay less attention to health (P-trend < 0.001), not prioritize their own healthy eating when busy looking after their family (P-trend < 0.001), have less nutrition knowledge (P-trend < 0.001), and a lower proportion were trying to control their weight (P-trend < 0.020). When breakfast skipping was defined as eating breakfast ≤2 d/wk, additional associations were found for having lower leisure-time physical activity (P-trend = 0.012) and less self-efficacy for eating a healthy diet (P-trend < 0.043). In conclusion, a range of intrapersonal and social factors were significantly associated with breakfast skipping among women living in socioeconomically disadvantaged areas. Acknowledging the cross-sectional design and need for causal confirmation, programs that aim to promote breakfast consumption in this population group should consider targeting family-related barriers to healthy eating and nutrition knowledge.

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The psychological contract has received substantial theoretical attention over the past two decades as a popular framework within which to examine contemporary employment relationships. Previous research mostly examines breach and violation of the psychological contract and its impact on employee organization outcomes. Few studies have employed longitudinal, prospective research designs to investigate the psychological contract and as a result, psychological contract content and formation are incompletely understood. It is argued that employment relationships may be better proactively managed with greater understanding of formation and changes in the psychological contract. We examine existing psychological contract literature to identify five key factors proposed to contribute to the formation of psychological contracts. We extend the current research by integrating these factors for the first time into a temporal model of psychological contract development.

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The most popular model of how students learn is known as the constructivist model of learning. There are variants of this model, but the main features are that learning occurs in the context of pre-existing experiences and ideas, that new concepts are transformed to fit or build on those existing ideas, and that learning occurs in a social or cultural context. Learners are not empty vessels, into which new knowledge can be injected. New concepts, which are consistent with and extend pre-existing experiences and ideas, are easily and effectively assimilated. Learning is difficult, when learners have pre-existing incorrect ideas or alternative conceptions, as they must first unlearn the misconceptions in order to incorporate the new information. In a different context, it is usually much harder and more expensive to retrofit an existing house than to build from scratch. Similarly, it is very hard to overcome bad habits. A previous column in Chemistry in Australia [July 2013, page 35], noted that we simplify ideas when teaching chemistry to younger students, but warned that over-simplication often results in misconceptions that will hinder future learning. Most chemistry educators favour constructivism, because there are similarities with the process of discovery in science. Firstly, the advancement of scientific knowledge builds on past experiences and knowledge: Isaac Newton famously acknowledged, “If I have seen further it is by standing on the shoulders of giants”. Secondly, observations and data of themselves are not meaningful, until that information has been transformed to extend existing ideas: Nobel Laureate Lawrence Bragg wrote, “the important thing in science is not so much to obtain new facts as to discover new ways of thinking about them”. Science as a Human Endeavour (SHE) is one of the strands in the Australian Curriculum. Similarly, one of the learning outcomes in the Draft Chemistry Academic Standards is that graduates will be able to recognise the creative endeavour involved in the acquiring knowledge and to recognise the testable and contestable nature of chemistry. Science is practiced individually and collectively by people. Human beings, who have human virtues and fallibilities, are responsible for scientific advancements. New knowledge is constructed in the minds of learners and scientists. Just as discussions in work teams, workshops, conferences, and the scientific literature, help scientists to extend and improve scientific understanding, the important role of teachers is to guide students to refine, alter and improve their scientific understanding when extending their scientific boundaries.

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Staging models are widely used in clinical medicine, and offer an insight into the progressive nature of many disorders. In general, the earlier stages of illness may be associated with a better prognosis and a higher treatment response. Once chronicity is reached, more complex and invasive treatments may be required, and the utility of treatments may decline. There is evidence that treatment response is greatest in the early phases of the disorder. There is also a progressive social and psychological burden of ongoing illness. This is paralleled by the twin notions of neuroprotection, which is supported by increasing evidence that structural changes in the disorder may be progressive and reversible with algorithm appropriate treatment, and that of early intervention, which posits that the optimal window for intervention is early in the illness course. A staging model compliments existing and proposed classifications of bipolar disorder, adding a temporal dimension to a cross sectional view. It may inform treatment choice and prognosis, and could have utility as a course specifier.

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Aim: The koala is a widely distributed Australian marsupial with regional populations that are in rapid decline, are stable or have increased in size. This study examined whether it is possible to use expert elicitation to estimate abundance and trends of populations of this species. Diverse opinions exist about estimates of abundance and, consequently, the status of populations. Location: Eastern and south-eastern Australia Methods: Using a structured, four-step question format, a panel of 15 experts estimated population sizes of koalas and changes in those sizes for bioregions within four states. They provided their lowest plausible estimate, highest plausible estimate, best estimate and their degree of confidence that the true values were contained within these upper and lower estimates. We derived estimates of the mean population size of koalas and associated uncertainties for each bioregion and state. Results: On the basis of estimates of mean population sizes for each bioregion and state, we estimated that the total number of koalas for Australia is 329,000 (range 144,000-605,000) with an estimated average decline of 24% over the past three generations and the next three generations. Estimated percentage of loss in Queensland, New South Wales, Victoria and South Australia was 53%, 26%, 14% and 3%, respectively. Main conclusions: It was not necessary to achieve high levels of certainty or consensus among experts before making informed estimates. A quantitative, scientific method for deriving estimates of koala populations and trends was possible, in the absence of empirical data on abundances.

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Coordinated systems are required to ensure evidence-informed practice and evaluation of community-based interventions (CBIs). Knowledge translation and exchange (KTE) strategies show promise, but these require evaluation. This paper describes implementation and evaluation of COOPS, a national KTE platform to support best practice in obesity prevention CBIs. A logic model guides KTE activities including knowledge brokering, networking, tailored communications, training, and needs assessments. A mixed-methods evaluation includes communications data, knowledge brokering database, annual survey of CBIs, pre- and post-event questionnaires, interviews, social network analysis, and case studies. This evaluation will contribute to understanding the process of implementing a KTE platform with CBIs and its reach, quality and effectiveness.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Includes bibliography

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Includes bibliography

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Climate change poses special challenges for Caribbean decision makers related to the uncertainties inherent in future climate projections and the complex linkages between climate change, physical and biological systems, and socioeconomic sectors. At present, however, the Caribbean subregion lacks the adaptive capacity needed to address these challenges. The present report assesses the economic and social impacts of climate change on the coastal and marine sector in the Caribbean until 2050. It aims both to provide Caribbean decision makers with cutting edge information on the vulnerability to climate change of the subregion, and to facilitate the development of adaptation strategies informed by both local experience and expert knowledge.

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Caribbean policymakers are faced with special challenges from climate change and these are related to the uncertainties inherent in future climate projections and the complex linkages among climate change, physical and biological systems and socioeconomic sectors. The impacts of climate change threaten development in the Caribbean and may well erode previous gains in development as evidenced by the increased incidence of climate migrants internationally. This brief which is based on a recent study conducted by the Economic Commission for Latin America and the Caribbean (LC/CAR/L.395)1 provides a synthesis of the assessment of the economic and social impacts of climate change on the coastal and marine sector in the Caribbean which were undertaken. It provides Caribbean policymakers with cutting-edge information on the region’s vulnerability and encourages the development of adaptation strategies informed by both local experience and expert knowledge. It proceeds from an acknowledgement that the unique combination of natural resources, ecosystems, economic activities, and human population settlements of the Caribbean will not be immune to the impacts of climate change, and local communities, countries and the subregion as a whole need to plan for, and adapt to, these effects. Climate and extreme weather hazards related to the coastal and marine sector encompass the distinct but related factors of sea level rise, increasing coastal water temperatures, tropical storms and hurricanes. Potential vulnerabilities for coastal zones include increased shoreline erosion leading to alteration of the coastline, loss of coastal wetlands, and changes in the abundance and diversity of fish and other marine populations. The study examines four key themes in the analysis: climate, vulnerability, economic and social costs associated with climate change impacts, and adaptive measures.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)