964 resultados para Map of ideas
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Renewable energy forms have been widely used in the past decades highlighting a "green" shift in energy production. An actual reason behind this turn to renewable energy production is EU directives which set the Union's targets for energy production from renewable sources, greenhouse gas emissions and increase in energy efficiency. All member countries are obligated to apply harmonized legislation and practices and restructure their energy production networks in order to meet EU targets. Towards the fulfillment of 20-20-20 EU targets, in Greece a specific strategy which promotes the construction of large scale Renewable Energy Source plants is promoted. In this paper, we present an optimal design of the Greek renewable energy production network applying a 0-1 Weighted Goal Programming model, considering social, environmental and economic criteria. In the absence of a panel of experts Data Envelopment Analysis (DEA) approach is used in order to filter the best out of the possible network structures, seeking for the maximum technical efficiency. Super-Efficiency DEA model is also used in order to reduce the solutions and find the best out of all the possible. The results showed that in order to achieve maximum efficiency, the social and environmental criteria must be weighted more than the economic ones.
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The philosopher and novelist Ayn Rand (1905–1982) is an icon of American culture. That culture misunderstands her, however. It perceives her solely as a pure market conservative. In the first forty years of her life, Rand's individualism was intellectual and served as a defense for the free trade of ideas. It originated in the Russian Revolution. In 1926, when Rand left the Soviet Union, she developed her individualism into an American philosophy. Her ideas of the individual in society belonged to a debate where intellectuals intended to abolish the State and free man and woman from its intellectual snares. To present Rand as a freethinker allows me to examine her anticommunism as a reaction against Leninism and to consider the relation of her ideas to Marxism. This approach stresses that Rand, as Marx, opposed the State and argued for the historical importance of a capitalist revolution. For Rand the latter, however, depended on an entrepreneurial class that rejected Protestantism as ideology – which she contended threatened its interests because Christianity had lost its historical significance. This exposes the nature of Rand's intellectual individualism in American society, where the majority on the entire political spectrum still identified with the teachings of Christ. It also reveals the dynamics of her anticommunism. From 1926 to 1943, Rand remodeled American individualism and as she did so, she determined her opposition first to the New Deal liberals and second business conservatives. To these ends, Marxism and Protestantism served Rand's individualism and made her an American icon of the twentieth century.
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A mosaic of two WorldView-2 high resolution multispectral images (Acquisition dates: October 2010 and April 2012), in conjunction with field survey data, was used to create a habitat map of the Danajon Bank, Philippines (10°15'0'' N, 124°08'0'' E) using an object-based approach. To create the habitat map, we conducted benthic cover (seafloor) field surveys using two methods. Firstly, we undertook georeferenced point intercept transects (English et al., 1997). For ten sites we recorded habitat cover types at 1 m intervals on 10 m long transects (n= 2,070 points). Second, we conducted geo-referenced spot check surveys, by placing a viewing bucket in the water to estimate the percent cover benthic cover types (n = 2,357 points). Survey locations were chosen to cover a diverse and representative subset of habitats found in the Danajon Bank. The combination of methods was a compromise between the higher accuracy of point intercept transects and the larger sample area achievable through spot check surveys (Roelfsema and Phinn, 2008, doi:10.1117/12.804806). Object-based image analysis, using the field data as calibration data, was used to classify the image mosaic at each of the reef, geomorphic and benthic community levels. The benthic community level segregated the image into a total of 17 pure and mixed benthic classes.
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This paper provides a method for constructing a new historical global nitrogen fertilizer application map (0.5° × 0.5° resolution) for the period 1961-2010 based on country-specific information from Food and Agriculture Organization statistics (FAOSTAT) and various global datasets. This new map incorporates the fraction of NH+4 (and NONO-3) in N fertilizer inputs by utilizing fertilizer species information in FAOSTAT, in which species can be categorized as NH+4 and/or NO-3-forming N fertilizers. During data processing, we applied a statistical data imputation method for the missing data (19 % of national N fertilizer consumption) in FAOSTAT. The multiple imputation method enabled us to fill gaps in the time-series data using plausible values using covariates information (year, population, GDP, and crop area). After the imputation, we downscaled the national consumption data to a gridded cropland map. Also, we applied the multiple imputation method to the available chemical fertilizer species consumption, allowing for the estimation of the NH+4/NO-3 ratio in national fertilizer consumption. In this study, the synthetic N fertilizer inputs in 2000 showed a general consistency with the existing N fertilizer map (Potter et al., 2010, doi:10.1175/2009EI288.1) in relation to the ranges of N fertilizer inputs. Globally, the estimated N fertilizer inputs based on the sum of filled data increased from 15 Tg-N to 110 Tg-N during 1961-2010. On the other hand, the global NO-3 input started to decline after the late 1980s and the fraction of NO-3 in global N fertilizer decreased consistently from 35 % to 13 % over a 50-year period. NH+4 based fertilizers are dominant in most countries; however, the NH+4/NO-3 ratio in N fertilizer inputs shows clear differences temporally and geographically. This new map can be utilized as an input data to global model studies and bring new insights for the assessment of historical terrestrial N cycling changes.
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Changes in the emission, transport and deposition of aeolian dust have profound effects on regional climate, so that characterizing the lifecycle of dust in observations and improving the representation of dust in global climate models is necessary. A fundamental aspect of characterizing the dust cycle is quantifying surface dust fluxes, yet no spatially explicit estimates of this flux exist for the World's major source regions. Here we present a novel technique for creating a map of the annual mean emitted dust flux for North Africa based on retrievals of dust storm frequency from the Meteosat Second Generation Spinning Enhanced Visible and InfraRed Imager (SEVIRI) and the relationship between dust storm frequency and emitted mass flux derived from the output of five models that simulate dust. Our results suggest that 64 (±16)% of all dust emitted from North Africa is from the Bodélé depression, and that 13 (±3)% of the North African dust flux is from a depression lying in the lee of the Aïr and Hoggar Mountains, making this area the second most important region of emission within North Africa.
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The exhibition, The Map of the Empire (30 March – 6 May, 2016), featured photography, video, and installation works by Toronto-based artist, Brad Isaacs (Mohawk | mixed heritage). The majority of the artworks within the exhibition were produced from the Canadian Museum of Nature’s research and collections facility (Gatineau, Québec). The Canadian Museum of Nature (CMN), is the national natural history museum of (what is now called) Canada, with its galleries located in Ottawa, Ontario. The exhibition was the first to open at the Centre for Indigenous Research Creation at Queen’s University under the supervision of Dr. Dylan Robinson. Through the installment of The Map of the Empire, Isaacs effectively claimed space on campus grounds – within the geopolitical space of Katarokwi | Kingston – and pushed back against settler colonial imaginings of natural history. The Map of the Empire explored the capacity of Brad’s artistic practice in challenging the general belief under which natural history museums operate: that the experience of collecting/witnessing/interacting with a deceased and curated more-than-human animal will increase conservation awareness and facilitate human care towards nature. The exhibition also featured original poetry by Cecily Nicholson, author of Triage (2011) and From the Poplars (2014), as a response to Brad’s artwork. I locate the work of The Map of the Empire within the broader context of curatorship as a political practice engaging with conceptual and actualized forms of slow violence, both inside of and beyond the museum space. By unmapping the structures of slow, showcased and archived violence within the natural history museum, we can begin to radically transform and reimagine our connections with more-than-humans and encourage these relations to be reciprocal rather than hyper-curated or preserved.
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In a microscopic setting, humans behave in rich and unexpected ways. In a macroscopic setting, however, distinctive patterns of group behavior emerge, leading statistical physicists to search for an underlying mechanism. The aim of this dissertation is to analyze the macroscopic patterns of competing ideas in order to discern the mechanics of how group opinions form at the microscopic level. First, we explore the competition of answers in online Q&A (question and answer) boards. We find that a simple individual-level model can capture important features of user behavior, especially as the number of answers to a question grows. Our model further suggests that the wisdom of crowds may be constrained by information overload, in which users are unable to thoroughly evaluate each answer and therefore tend to use heuristics to pick what they believe is the best answer. Next, we explore models of opinion spread among voters to explain observed universal statistical patterns such as rescaled vote distributions and logarithmic vote correlations. We introduce a simple model that can explain both properties, as well as why it takes so long for large groups to reach consensus. An important feature of the model that facilitates agreement with data is that individuals become more stubborn (unwilling to change their opinion) over time. Finally, we explore potential underlying mechanisms for opinion formation in juries, by comparing data to various types of models. We find that different null hypotheses in which jurors do not interact when reaching a decision are in strong disagreement with data compared to a simple interaction model. These findings provide conceptual and mechanistic support for previous work that has found mutual influence can play a large role in group decisions. In addition, by matching our models to data, we are able to infer the time scales over which individuals change their opinions for different jury contexts. We find that these values increase as a function of the trial time, suggesting that jurors and judicial panels exhibit a kind of stubbornness similar to what we include in our model of voting behavior.
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Relief shown pictorially.
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Relief shown pictorially.
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Relief shown pictorially.
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Photostat from: Bailey's pocket Almanac for 1785.