1,713 research outputs found

    Oceanographic Weather Maps: Using Oceanographic Models to Improve Seabed Mapping Planning and Acquisition

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    In a world of high precision sensors, one of the few remaining challenges in multibeam echosounding is that of refraction based uncertainty. A poor understanding of oceanographic variability can lead to inadequate sampling of the water mass and the uncertainties that result from this can dominate the uncertainty budget of even state-of-the-art echosounding systems. Though dramatic improvements have been made in sensor accuracies over the past few decades, survey accuracy and efficiency is still potentially limited by a poor understanding of the “underwater weather”. Advances in the sophistication of numerical oceanographic forecast modeling, combined with ever increasing computing power, allow for the timely operation and dissemination of oceanographic nowcast and forecast model systems on regional and global scales. These sources of information, when examined using sound speed uncertainty analysis techniques, have the potential to change the way hydrographers work by increasing our understanding of what to expect from the ocean and when to expect it. Sound speed analyses derived from ocean modeling system’s three-dimensional predictions could provide guidance for hydrographers during survey planning, acquisition and post-processing of hydrographic data. In this work, we examine techniques for processing and visualizing of predictions from global and regional operational oceanographic forecast models and climatological analyses from an ocean atlas to better understand how these data could best be put to use to in the field of hydrograph

    Classrooms and Minefields

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    Graduate school is a time of personal and professional challenges and changes. Engaging in personal reflection about your identity and your goals can help you make sense of these changes. Set and enforce your own personal and professional boundaries to protect all the parts of your identity; learn to recognize your own triggers and prioritize your own self-care. Create a set of lifelines—people and resources you can be vulnerable with and can turn to for both personal and professional challenges. You will need different lifelines to help with different problems such as identity whiplash or the many landmines you may hit. Recognize that each lifeline person will offer you a different set of responses

    Prejudice Against Immigrants Symptomizes a Larger Syndrome, Is Strongly Diminished by Socioeconomic Development, and the UK Is Not an Outlier: Insights From the WVS, EVS, and EQLS Surveys

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    Public attitudes toward immigrants in the UK, especially prejudice against them, form a strong theme in retrospective media postmortems emphasizing the uniqueness of Brexit, yet similarly hostile public opinion on immigrants forms a recurrent theme in populist politics in many European Union nations. Indeed, if UK residents are not uniquely hostile, then the UK's exit from the EU may be only the first symptom of proliferating conflicts over immigration that will plague EU nations in future years. A well-established symptom (or consequence) of prejudice—aversion to outgroups as a neighbors—shows that prejudice against immigrants, other races, Muslims, Hindus, Jews, and Gypsies are all relatively low in the UK. This is as expected from the general decline of prejudice and social distance with socioeconomic development, demonstrated here in broad perspective across many countries. Indeed, UK residents are about as prejudiced against each of these ethno-religious outgroups as are their peers in other advanced EU and English-speaking nations, and much less prejudiced than their peers in less prosperous countries. Confirmatory factor analysis supports the view that a single latent ethno-religious prejudice generates all these specific prejudices, so it is not specific experiences with any one of these groups, nor their specific attributes, that are the wellspring of this deep-seated underlying prejudice. Replication using other measures of prejudice and another cross-national dataset confirms these findings. Data are from the pooled World and European Values Surveys (over 450,000 individuals, 300 surveys, and 100 nations for this analysis) and from the well-known European Quality of Life surveys. Analysis is by descriptive, multilevel (random intercept, fixed effects), and structural equation methods

    Beware of feedback effects among trust, risk and public opinion: Quantitative estimates of rational versus emotional influences on attitudes toward genetic modification

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    Support for genetic modification in agriculture mainly stems from approval of food and agricultural goals. It is facilitated by trust in the judgment of scientific authorities and undermined by anxiety about the risks involved. But there are symptoms of danger: Any public opinion data that show significant correlations between perceptions of fact (risk, trust etc.) and background characteristics (age, sex, religion, politics) or goals (environmental, medical, economic) typically reflect emotional feedback effects as well as rational scientific ones. Estimates from regression are then biased and more complex models required. Our structural equation analyses of five large, representative national surveys of Australia (N = 8730) provide precise estimates of the magnitude of these effects, including reciprocal effects reflecting emotional influences. We also find that: (1) acceptance of the scientific worldview modestly increases support both directly and also indirectly through its influence on trust; (2) family socio-economic background increases knowledge of genetic engineering but is otherwise inconsequential; and (3) religious belief greatly hinders acceptance of the scientific worldview and slightly increases anxiety about risks
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