941 resultados para International competition


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Recent experimental work in the field of synthetic protocell biology has shown that prebiotic vesicles are able to 'steal' lipids from each other. This phenomenon is driven purely by asymmetries in the physical state or composition of the vesicle membranes, and, when lipid resource is limited, translates directly into competition amongst the vesicles. Such a scenario is interesting from an origins of life perspective because a rudimentary form of cell-level selection emerges. To sharpen intuition about possible mechanisms underlying this behaviour, experimental work must be complemented with theoretical modelling. The aim of this paper is to provide a coarse-grain mathematical model of protocell lipid competition. Our model is capable of reproducing, often quantitatively, results from core experimental papers that reported distinct types vesicle competition. Additionally, we make some predictions untested in the lab, and develop a general numerical method for quickly solving the equilibrium point of a model vesicle population.

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Conflict management is an intrinsic element of natural resource management, and becomes increasingly important amid growing pressure on natural resources from local uses, as well as from external drivers such as climate change and international investment. If policymakers and practitioners aim to truly improve livelihood resilience and reduce vulnerabilities of poor rural households, issues of resource competition and conflict management cannot be ignored. This synthesis report summarizes outcomes and lessons from three ecoregions: Lake Victoria, with a focus on Uganda; Lake Kariba, with a focus on Zambia; and Tonle Sap Lake in Cambodia. Partners used a common approach to stakeholder engagement and action research that we call “Collaborating for Resilience”. In each region, partners assisted local stakeholders in developing a shared understanding of risks and opportunities, weighing alternative actions, developing action plans, and evaluating and learning from the outcomes. These experiences demonstrate that investing in capacities for conflict management is practical and can contribute to broader improvements in resource governance.

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There are many bassoon competitions around the world- and one of the most famous is the Gillet competition, sponsored by the International Double Reed Society. In 1981, it was established as an annual event, the "Femand Gillet Bassoon Competition"- a title expanded in 2000 to the "Femand Gillet-Hugo Fox Bassoon Competition." My goal was to explore the history of the competition, the availability of the repertoire selected for each competition, and the difficulties performing each piece. Through this journey, I was able to discover the variety of material chosen and how it was used, the quality, value, and the importance of the repertoire in each competition. For example, Ferdinand David's Concertino op.12, the style of the piece provides romantic, operatic type lyricism, a flashy presto section and finale, makes it as a standard romantic piece in the bassoon repertoire; Otmar Nussio's Variations on an Air by Pergolesi, contains a slow theme and few diverse variations, which provides a contemporary style music with the traditional music form and descriptive quality. The result of learning this repertoire proves that different styles of music in the competition demonstrate the artistry of the bassoon repertoire and music history in relationship of the development of the instrument. My first dissertation recital featured: Concerto for Bassoon, K. 191 by Wolfgang Amadeus Mozart; Concertino by Marcel Bitsch; Metamorphoses by Leslie Bassett; and Sonatine by Alexandre Tansman. My second recital featured: Concerto in E minor, RV 484 by Antonio Vivaldi; On the Summer Map of Stars by Gordon Kerry; Concertino Opus12 by Ferdinand David; Elegie by Jacques Hetu; and Interferences by Roger Boutry. My third recital featured: Cello Suite No.2 in D minor, BWV1008 by Johann Sebastian Bach; Combinaciones: Sonatina para Fagot y Piano by Salvador Ranieri; Andante e Rondo Ungarese Opus 35 by Carl Maria von Weber; and Variations on an Air by Pergolesi for Bassoon and Piano by Otmar Nussio.

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Clustering analysis of data from DNA microarray hybridization studies is an essential task for identifying biologically relevant groups of genes. Attribute cluster algorithm (ACA) has provided an attractive way to group and select meaningful genes. However, ACA needs much prior knowledge about the genes to set the number of clusters. In practical applications, if the number of clusters is misspecified, the performance of the ACA will deteriorate rapidly. In fact, it is a very demanding to do that because of our little knowledge. We propose the Cooperative Competition Cluster Algorithm (CCCA) in this paper. In the algorithm, we assume that both cooperation and competition exist simultaneously between clusters in the process of clustering. By using this principle of Cooperative Competition, the number of clusters can be found in the process of clustering. Experimental results on a synthetic and gene expression data are demonstrated. The results show that CCCA can choose the number of clusters automatically and get excellent performance with respect to other competing methods.

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Models of currency competition focus on the 5% of trading attributable to balance-of-payments flows. We introduce an information approach that focuses on the other 95%. Important departures from traditional models arise when transactions convey information. First, prices reveal different information depending on whether trades are direct or though vehicle currencies. Second, missing markets arise due to insufficiently symmetric information, rather than insufficient transactions scale. Third, the indeterminacy of equilibrium that arises in traditional models is resolved: currency trade patterns no longer concentrate arbitrarily on market size. Empirically, we provide a first analysis of transactions across a full market triangle: the euro, yen and US dollar. The estimated transaction effects on prices support the information approach.

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The Audio/Visual Emotion Challenge and Workshop (AVEC 2011) is the first competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and audiovisual emotion analysis, with all participants competing under strictly the same conditions. This paper first describes the challenge participation conditions. Next follows the data used – the SEMAINE corpus – and its partitioning into train, development, and test partitions for the challenge with labelling in four dimensions, namely activity, expectation, power, and valence. Further, audio and video baseline features are introduced as well as baseline results that use these features for the three sub-challenges of audio, video, and audiovisual emotion recognition.