998 resultados para forest futures


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Sustainable forest management has emerged as a major international forestry issue. This research assessed the potential contribution of certification and labelling to sustainable forest management in Victoria. The results indicate a potential demand for certified forest products and a consumer willingness to pay to ensure forests are managed sustainably.

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This paper provides a review of research contributions on forest management and planning using multi-criteria decision making (MCDM) based on an exhaustive literature survey. The review primarily focuses on the application aspects  highlighting theoretical underpinnings and controversies. It also examines the nature of the problems addressed and incorporation of risk into forest  management and planning decision making. The MCDM techniques covered in this review belong to several schools of thought. For each technique, a variety of empirical applications including recent studies has been reviewed. More than 60 individual studies were reviewed and classified by the method used, country of origin, number and type of criteria and options evaluated. The review serves as a guide to those interested in how to use a particular MCDM approach. Based on the review, some recent trends and future research directions are also highlighted.

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This 20-page paper was presented in June 2001 at an invitational conference hosted by the Education Policy Research Group at Keele University. The theme of the conference was “travelling policy/local spaces: globalisation, identities and education policy in Europe“. Linked from the events page at http://www.keele.ac.uk/depts/ed/events/conf papers.htm, this document is one of 22 papers from the conference that are presented in full text. The paper is organised in three sections, firstly examining the local impact of the application of a global development agenda on educational practices in Victoria, Australia, then analysing policy texts issued by the OECD, Unesco, and the Word Bank, and finally interpreting the data in the light of interagency politics and the authors‘ reading of the global-local dynamics of the educational restructuring in Victoria.

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An automated lung nodule detection system can help spot lung abnormalities in CT lung images. Lung nodule detection can be achieved using template-based, segmentation-based, and classification-based methods. The existing systems that include a classification component in their structures have demonstrated better performances than their counterparts. Ensemble learners combine decisions of multiple classifiers to form an integrated output. To improve the performance of automated lung nodule detection, an ensemble classification aided by clustering (CAC) method is proposed. The method takes advantage of the random forest algorithm and offers a structure for a hybrid random forest based lung nodule classification aided by clustering. Several experiments are carried out involving the proposed method as well as two other existing methods. The parameters of the classifiers are varied to identify the best performing classifiers. The experiments are conducted using lung scans of 32 patients including 5721 images within which nodule locations are marked by expert radiologists. Overall, the best sensitivity of 98.33% and specificity of 97.11% have been recorded for proposed system. Also, a high receiver operating characteristic (ROC) Az of 0.9786 has been achieved.

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This paper explores potential efficiency and unbiasedness as well as the degree of efficiency in stock index futures of an emerging market using both monthly and daily data. Besides analyzing efficiency and unbiasedness with cointegration and error correction model, the degree of efficiency is further investigated after explicitly modeling the underlying state of the market (expansion or contraction) through the first-order Markov switching set-up. The results show that a relatively longer two-month horizon is more effective in eliminating arbitrage opportunities than the short run (one-month and daily) futures.

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This paper examines the complex connections between literacy practices, the use of information and communication technologies (ICTs) and disadvantage. It reports the findings of a year-long study which investigated the ways in which four families use ICTs to engage with formal and informal literacy learning in home and school settings. The research set out to explore what it is about computer-mediated literacy practices at home and at school in disadvantaged communities that make a difference in school success. The findings demonstrate that the 'socialisation' of the technology - its appropriation into existing family norms, values and lifestyles - varied from family to family. Having access to ICTs at home was not sufficient for the young people and their families to overcome the so-called 'digital divide'. Clearly, we are seeing shifts in the meaning of 'disadvantage' in a globalised world mediated by the use of new technologies. New definitions of disadvantage that take account not only of access to the new technologies but also include calibrated understandings of what constitutes the access are required. The article concludes that old inequalities have not disappeared, but are playing out in new ways in the context of the networked society.

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This article examines the complex connections between literacy practices, the use of information and communication technologies (ICTs) and disadvantage. It reports the findings of a year-long study which investigated the ways in which four families use ICTs to engage with formal and informal literacy learning in home and school settings. The research set out to explore what it is about computer-mediated literacy practices at home and at school in disadvantaged communities that makes a difference in school success. The findings demonstrate that the 'socialisation' of the technology--its appropriation into existing family norms, values and lifestyles--varied from family to family. Having access to ICTs at home was not sufficient for the young people and their families to overcome the so-called 'digital divide'. The article concludes that old inequalities have not disappeared, but are playing out in new ways in the context of the networked society.

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Gasoline (GA) and kerosene (KO) are extracted from crude oil (CO), such that the three fuel commodities share a chemical link. On the other hand, GA also shares an industrial link with natural rubber (NR) and palladium (PA) as complementary commodities that are heavily consumed by the automobile industry. We contrast the information content embedded in the two economic linkages. Focusing on TOCOM futures contracts written on the five commodities and centering on GA, we confirm that incremental information provided by either CO, KO or NR, PA over a buy-and-hold strategy and a naive forecast, are both statistically and economically significant. While the chemical link forecast is more profitable, a double-link forecast generated from a VECM with two cointegrating vectors (KO-GA and GANR prices) outperforms both single-link forecasts based on risk-adjusted profit net of transaction costs. Further comparisons against the profitability of commodity-based momentum strategies documented in Erb and Harvey (2006) and Miffre and Rallis (2007) show that the double-link forecast holds its own against the most profitable of the 75 momentum strategies considered. This strongly suggests that not only are there incremental profits to be gained from harnessing and combining economic links among commodity futures, the resultant incremental profits are economically significant against other proven commodity-based trading strategies in the existing literature.