948 resultados para Elections: Australia


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Ecosystems are complex systems and changing one of their components can alter their whole functioning. Decomposition and biodiversity are two factors that play a role in this stability, and it is vital to study how these two factors are interrelated and how other factors, whether of human origin or not, can affect them. This study has tested different hypotheses regarding the effects of pesticides and invasive species on the biodiversity of the soil fauna and litter decomposition rate. Decomposition was measured using the litterbags technique. Our results indicate that pesticides had a negative effect on decomposition whereas invasive species increased decomposition rate. At the same time, the diversity of the soil biota was unaffected by either factor. These results allow us to better understand the response of important ecosystem functions to human‐induced alterations, in order to mitigate harmful effects or restore them wherever necessary.

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[spa] En este trabajo examinamos si, en la asignación de transferencias, los gobernantes regionales discriminan a favor de los gobiernos locales controlados por el mismo partido político, y si las perspectivas electorales de los gobiernos locales mejoran si están políticamente alineados con el gobierno regional. Con una nueva base de datos que considera 3.000 municipios españoles durante el período 2000-07 y un diseño de discontinuidad en la regresión, documentamos un efecto robusto de importante magnitud: en elecciones ajustadas, los municipios alineados con el gobierno regional reciben, en media, un 83% más de transferencias per cápita y su gobernante obtiene un 10% más de votos en las elecciones locales. También demostramos que el efecto de la alineación política es mayor: (i) si las elecciones regionales y locales se celebran el mismo día, (ii) en regiones donde las elecciones regionales son menos competidas, y (iii) en regiones con más recursos presupuestarios.

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[spa] En este trabajo examinamos si, en la asignación de transferencias, los gobernantes regionales discriminan a favor de los gobiernos locales controlados por el mismo partido político, y si las perspectivas electorales de los gobiernos locales mejoran si están políticamente alineados con el gobierno regional. Con una nueva base de datos que considera 3.000 municipios españoles durante el período 2000-07 y un diseño de discontinuidad en la regresión, documentamos un efecto robusto de importante magnitud: en elecciones ajustadas, los municipios alineados con el gobierno regional reciben, en media, un 83% más de transferencias per cápita y su gobernante obtiene un 10% más de votos en las elecciones locales. También demostramos que el efecto de la alineación política es mayor: (i) si las elecciones regionales y locales se celebran el mismo día, (ii) en regiones donde las elecciones regionales son menos competidas, y (iii) en regiones con más recursos presupuestarios.

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In most democracies voting Advice Applications (VAAs) advising citizens which candidate or party they should vote for become more and more popular. It is therefore crucial to know more about the functioning and the effects of such tools. After some general remarks about the spread of these tools and their possible effects gathered so far in various studies, this paper presents the latest results from a research conducted in the course of the 2011 Swiss national elections. They confirm that VAAs can lead to better informed voters and are likely to have a positive impact on electoral turnout. Additionally it can be shown that the Swiss VAA smartvote made voters change their voting intention and that they voted for a different party. This was particularly advantageous for the Green Liberal Party. At the moment, only a minority of voters rely on the voting recommendation by smartvote. This might change dramatically with the introduction of e-voting. Once people can vote electronically, there are hardly any possibilities to prevent voters from transferring their selection of candidates based on the recommendation given by a VAA into the official electronic ballot paper. If this is possible, e-voting will become more popular than postal voting.

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Genome-wide linkage studies have identified the 9q22 chromosomal region as linked with colorectal cancer (CRC) predisposition. A candidate gene in this region is transforming growth factor beta receptor 1 (TGFBR1). Investigation of TGFBR1 has focused on the common genetic variant rs11466445, a short exonic deletion of nine base pairs which results in truncation of a stretch of nine alanine residues to six alanine residues in the gene product. While the six alanine (*6A) allele has been reported to be associated with increased risk of CRC in some population based study groups this association remains the subject of robust debate. To date, reports have been limited to population-based case-control association studies, or case-control studies of CRC families selecting one affected individual per family. No study has yet taken advantage of all the genetic information provided by multiplex CRC families. Methods: We have tested for an association between rs11466445 and risk of CRC using several family-based statistical tests in a new study group comprising members of non-syndromic high risk CRC families sourced from three familial cancer centres, two in Australia and one in Spain. Results: We report a finding of a nominally significant result using the pedigree-based association test approach (PBAT; p = 0.028), while other family-based tests were non-significant, but with a p-value < 0.10 in each instance. These other tests included the Generalised Disequilibrium Test (GDT; p = 0.085), parent of origin GDT Generalised Disequilibrium Test (GDT-PO; p = 0.081) and empirical Family-Based Association Test (FBAT; p = 0.096, additive model). Related-person case-control testing using the 'More Powerful' Quasi-Likelihood Score Test did not provide any evidence for association (M-QL5; p = 0.41). Conclusions: After conservatively taking into account considerations for multiple hypothesis testing, we find little evidence for an association between the TGFBR1*6A allele and CRC risk in these families. The weak support for an increase in risk in CRC predisposed families is in agreement with recent meta-analyses of case-control studies, which estimate only a modest increase in sporadic CRC risk among 6*A allele carriers.

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The scale of research and development (R&D), and other technological activities, and the way in which the available resources are managed and organized at the enterprise and national level contribute to the rate of technological change in a country. A well organized national innovation system can be a powerful engine of progress, whereas a lack of interaction between institutions results in the slowing down of technological change, thereby diminishing its contribution to economic growth and welfare. The research object of this thesis is Australia’s national innovation system and the state of R&D in Australia. In order to establish an overall picture of the situation and to be able to make recommendations for future development, the general level of R&D activity and the main performers and funders of R&D within the system are analyzed. The framework policies supporting R&D and prevalent dynamics between different actors and sectors are of specific interest of the research. The findings reveal that the Australian culture is not a culture of research and innovation and that the main challenge is building a coherent system with strong domestic and international linkages.

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A brief account of the present status of Precision Agriculture (PA) in Australia is presented, and areas of opportunity in the grains, sugar and wine industries are identified. In particular, these relate to the use of spatially-distributed experimentation to fine-tune management so as to achieve production efficiencies, reduced risk of environmental impact and enhanced food security, and the management of crop quality through selective harvesting and product streaming. The latter may be an important avenue by which farmers can take a more active role in the off-farm part of agricultural value chains. The important role of grower groups in facilitating PA adoption is also discussed.

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Already one-third of the human population uses social media on a daily basis. The biggest social networking site Facebook has over billion monthly users. As a result, social media services are now recording unprecedented amount of data on human behavior. The phenomenon has certainly caught the attention of scholars, businesses and governments alike. Organizations around the globe are trying to explore new ways to benefit from the massive databases. One emerging field of research is the use of social media in forecasting. The goal is to use data gathered from online services to predict offline phenomena. Predicting the results of elections is a prominent example of forecasting with social media, but regardless of the numerous attempts, no reliable technique has been established. The objective of the research is to analyze how accurately the results of parliament elections can be forecasted using social media. The research examines whether Facebook “likes” can be effectively used for predicting the outcome of the Finnish parliament elections that took place in April 2015. First a tool for gathering data from Facebook was created. Then the data was used to create an electoral forecast. Finally, the forecast was compared with the official results of the elections. The data used in the research was gathered from the Facebook walls of all the candidates that were running for the parliament elections and had a valid Facebook page. The final sample represents 1131 candidates and over 750000 Facebook “likes”. The results indicate that creating a forecast solely based on Facebook “likes” is not accurate. The forecast model predicted very dramatic changes to the Finnish political landscape while the official results of the elections were rather moderate. However, a clear statistical relationship between “likes” and votes was discovered. In conclusion, it is apparent that citizens and other key actors of the society are using social media in an increasing rate. However, the volume of the data does not directly increase the quality of the forecast. In addition, the study faced several other limitations that should be addressed in future research. Nonetheless, discovering the positive correlation between “likes” and votes is valuable information that can be used in future studies. Finally, it is evident that Facebook “likes” are not accurate enough and a meaningful forecast would require additional parameters.