94 resultados para Agricultural geography - Brazil
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This report is the first systematic analysis of employment in the UK’s creative and high-tech economies. It analyses their size, growth and distribution across the country. Key Findings • The UK’s creative economy had 2.6 million jobs in 2013, consisting of 1.7 million jobs in the creative industries (890,000 in creative occupations and 818,000 working in other roles) and 907,000 jobs in creative occupations outside of the creative industries. • The UK’s high–tech economy had 3.2 million jobs in 2013, 2.4 million of which were jobs in high–tech industries (825,000 in Science Technology Engineering and Mathematics (STEM) occupations and 1.6 million in other roles) and 806,000 jobs in STEM occupations outside of the high–tech industries. • Employment in the creative economy grew on average over three times faster than the workforce as a whole (4.3 per cent per annum (p.a.) vs 1.2 per cent p.a.) between 2011 and 2013. • Employment in the high–tech economy also grew faster than the workforce over this period (2.1 per cent p.a. vs 1.2 per cent p.a.). • The creative economy is particularly concentrated in London and the South East which together account for 43 per cent of the UK’s creative economy workforce. By contrast, 31 per cent of high-tech economy employment and 28 per cent of the UK’s workforce is located in this area.
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Modern commercial agricultural practices in Asia during the last three to four decades involving chemicals (fertilisers and pesticides) have been associated with large increases in food production never witnessed before, especially under the Green Revolution technology in South Asia. This also involves large-scale increases in commercial vegetable crops. However, the high reliance on chemical inputs to bring about these increases in food production is not without problems. A visible, parallel correlation between higher productivity, high artificial input use and environmental degradation and human ill-health is evident in many countries where commercial agriculture is widespread. In this chapter, we focus on the impact of chemical inputs, in particular the impact of pesticides on the environment and on human health in South Asia with special reference to Sri Lanka...
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Assessments of students in primary and secondary education are debated among practitioners, policy-makers, and parents. In some countries, assessment scores serve a criterion for passage between levels of education, for example, from secondary school to post-secondary education. Those practices are often traditions and while they come under criticism, they are a long-accepted part of the educational practices within a country. In those countries, the students’ assessment and examination scores are posted in public places or published in local news media. In other countries, assessments are used for the periodic checks on individual student progress. The results of assessments may be used for rating schools, and in some cases, they are used for evaluating the performance of teachers. Assessments are used less often to analyze student performance and make judgments regarding the performance of the curriculum. Even less often, assessments serve to critically establish strategies for the improvement of student learning and educational practices. The ends on the continuum of the assessment debate often focus on the opportunities that assessments present to improve education on one end. The other end is that assessments serve as a major distraction from the important work of teachers by removing classroom room time from instruction. The debate on those issues continues.
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The research reported in this paper explores autonomous technologies for agricultural farming application and is focused on the development of multiple-cooperative agricultural robots (AgBots). These are highly autonomous, small, lightweight, and unmanned machines that operate cooperatively (as opposed to a traditional single heavy machine) and are suited to work on broadacre land (large-scale crop operations on land parcels greater than 4,000m2). Since this is a new, and potentially disruptive technology, little is yet known about farmer attitudes towards robots, how robots might be incorporated into current farming practice, and how best to marry the capability of the robot with the work of the farmer. This paper reports preliminary insights (with a focus on farmer-robot control) gathered from field visits and contextual interviews with farmers, and contributes knowledge that will enable further work toward the design and application of agricultural robotics.
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The morphology, colour, fluorescence, cathodoluminescence, nitrogen content and aggregation state, internal structure and mineral inclusions have been studied for 69 alluvial diamonds from the Rio Soriso (Juina area, Mato Grosso State, Brazil). Nitrogen in most diamonds (53%) is fully aggregated as B centres, but there is also a large proportion of N-free stones (38%). A strong positive correlation between nitrogen and IR-active hydrogen concentrations is observed. The diamonds contain (in order of decreasing abundance) ferropericlase, CaSi-perovskite, magnetite, MgSi-perovskite, pyrrhotite, 'olivine', SiO2, perovskite, tetragonal almandine-pyrope phase and some other minerals represented by single grains. The Rio Soriso diamond suite is subdivided into several subpopulations that originated in upper and lower mantle of ultramafic and mafic compositions, with the largest subgroup forming in the ultramafic lower mantle. Analysed ferropericlase grains are enriched in Fe (Mg#=0.43-0.89), which is ascribed to their origin in the lowermost mantle. The Juina kimberlites may be unique in sampling the material from depths below 1,700 km that ascended in a plume formed at the core-mantle boundary.
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In this study, we investigated the impact of rainfall on runoff, soil erosion and consequently on the discharge of radioactive cesium in agricultural fields in Fukushima prefecture using a rainfall simulator. Simulated heavy rainfalls (50 mm h-1) generated significant runoff and soil erosion. The average concentration of radioactive cesium (the sum of 134Cs and 137Cs) in the runoff sediments was [similar]3500 Bq kg-1 dry soil, more than double the concentrations measured in the field soils which should be considered in studies using the 137Cs loss to estimate long-term soil erosion. However, the estimated mass of cesium discharged through one runoff event was less than 2% of the cesium inventory in the field. This suggested that cesium discharge via soil erosion is not a significant factor in reducing the radioactivity of contaminated soils in Fukushima prefecture. However, the eroded sediment carrying radioactive cesium will deposit into the river systems and potentially pose a radioactivity risk for aquatic living organisms.
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There is an increased interest in measuring the amount of greenhouse gases produced by farming practices . This paper describes an integrated solar powered Unmanned Air Vehicles (UAV) and Wireless Sensor Network (WSN) gas sensing system for greenhouse gas emissions in agricultural lands. The system uses a generic gas sensing system for CH4 and CO2 concentrations using metal oxide (MoX) and non-dispersive infrared sensors, and a new solar cell encapsulation method to power the unmanned aerial system (UAS)as well as a data management platform to store, analyze and share the information with operators and external users. The system was successfully field tested at ground and low altitudes, collecting, storing and transmitting data in real time to a central node for analysis and 3D mapping. The system can be used in a wide range of outdoor applications at a relatively low operational cost. In particular, agricultural environments are increasingly subject to emissions mitigation policies. Accurate measurements of CH4 and CO2 with its temporal and spatial variability can provide farm managers key information to plan agricultural practices. A video of the bench and flight test performed can be seen in the following link: https://www.youtube.com/watch?v=Bwas7stYIxQ
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To identify susceptibility loci for visceral leishmaniasis, we undertook genome-wide association studies in two populations: 989 cases and 1,089 controls from India and 357 cases in 308 Brazilian families (1,970 individuals). The HLA-DRB1-HLA-DQA1 locus was the only region to show strong evidence of association in both populations. Replication at this region was undertaken in a second Indian population comprising 941 cases and 990 controls, and combined analysis across the three cohorts for rs9271858 at this locus showed P combined = 2.76 × 10 -17 and odds ratio (OR) = 1.41, 95% confidence interval (CI) = 1.30-1.52. A conditional analysis provided evidence for multiple associations within the HLA-DRB1-HLA-DQA1 region, and a model in which risk differed between three groups of haplotypes better explained the signal and was significant in the Indian discovery and replication cohorts. In conclusion, the HLA-DRB1-HLA-DQA1 HLA class II region contributes to visceral leishmaniasis susceptibility in India and Brazil, suggesting shared genetic risk factors for visceral leishmaniasis that cross the epidemiological divides of geography and parasite species. © 2013 Nature America, Inc. All rights reserved.
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Australian farmers have used precision agriculture technology for many years with the use of ground – based and satellite systems. However, these systems require the use of vehicles in order to analyse a wide area which can be time consuming and cost ineffective. Also, satellite imagery may not be accurate for analysis. Low cost of Unmanned Aerial Vehicles (UAV) present an effective method of analysing large plots of agricultural fields. As the UAV can travel over long distances and fly over multiple plots, it allows for more data to be captured by a sampling device such as a multispectral camera and analysed thereafter. This would allow farmers to analyse the health of their crops and thus focus their efforts on certain areas which may need attention. This project evaluates a multispectral camera for use on a UAV for agricultural applications.
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This thesis analyses the implications for football cultures of the profound socio-economic changes that Brazil has experienced in the last decade. It explores two major impacts: the economic boom of the domestic football sector, and the large-scale adoption of new technologies in fans' activities. The study identified a new phase of football culture in Brazil, characterised by the domination of market logics and intense commercialisation. The empirical findings also showed that new technologies are changing how supporters coordinate activities that challenge the gentrification of the game.
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While the popularity of destination image research has increased exponentially in the literature, there has been relatively little published about perceptions held by international consumers of destinations in South America. The purpose of this paper is to report the findings of a research project that aimed to identify the baseline market perceptions of Brazil, Argentina and Chile amongst Australian residents, at the time of the emergence of this long haul market. Of interest was the extent to which Australians differentiate the three distinct countries versus perceiving the continent as a gestalt. These baseline perceptions enable the effectiveness of future marketing communications in Australia by the three national tourism offices to be monitored over time. Importance-Performance Analysis (IPA) is used as a practical analytical tool to guide decision makers. In terms of operationalising destination image, a key research finding was the very high ratio or participants using the ‘Don’t know’ (DK) option for each destination performance scale item. This finding has practical implications for the destination marketers, as well as for researchers engaged in destination image research in long haul and/or emerging markets.
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The concept of food security is often anchored in popular understandings of the challenge to produce and supply enough food. However, decades of policies for intensive agriculture have not alleviated hunger and malnutrition, with an absence of food security featuring in both economically developing and developed nations. Despite perceptions that the economic growth in advanced, capitalist societies will ensure freedom from hunger, this is not universal across so-called ‘wealthy nations’. To explore the dynamics of food security in economically developed countries, this paper considers institutional approaches to domestic food security primarily through responses to poverty and welfare entitlements, and, secondarily, through food relief. Through the lens of social entitlements to food and their formation under various expressions of welfare capitalism, we highlight how the specific institutional settings of two economically developed nations, Australia and Norway, respond to uncertain or insufficient access to food. Whilst Norway's political agenda on agricultural support, food pricing regulation and universal social security support offers a robust, although indirect, safety net in ensuring entitlements to food, Australia's neoliberal trajectory means that approaches to food security are ad hoc and rely on a combination of self-help, charitable and market responses. Despite its extensive food production Australia appears less capable of ensuring food security for all its inhabitants compared to the highly import-dependent Norway.
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A recent editorial in International Research in Geographical and Environmental Education (IRGEE) (Stoltman, Lidstone & Kidman, 2014) highlighted an opportunity for the inclusion of geography as a subject in the Trends in International Mathematics and Science Study (TIMSS) tests. At present TIMSS tests only encompass mathematics and physical sciences. The IRGEE editors encouraged geography educators to take the initiative and be proactive for a TIMSS international assessment in geography to become a reality. This paper reports on a research project to identify the perceptions of the global geography education community on the advantages and challenges of initiating and implementing such tests. The authors highlight a number of consistencies and tensions revealed by the respondents as well as potential issues of validity, reliability and fairness of a geography assessment instrument. The implications of these findings for ongoing research are discussed.
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Correlations between oil and agricultural commodities have varied over previous decades, impacted by renewable fuels policy and turbulent economic conditions. We estimate smooth transition conditional correlation models for 12 agricultural commodities and WTI crude oil. While a structural change in correlations occurred concurrently with the introduction of biofuel policy, oil and food price levels are also key influences. High correlation between biofuel feedstocks and oil is more likely to occur when food and oil price levels are high. Correlation with oil returns is strong for biofuel feedstocks, unlike with other agricultural futures, suggesting limited contagion from energy to food markets.