323 resultados para Concertos (Cello)


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Fantasy, op. 159.--Sonata, A major, op. 162.--Introduction & Variations on Trockne Blumen, op. 160.--Sonata for piano and arpeggione or cello.

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Bound with: Choral fantasy, op. 80.

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Orchestra part arranged for piano.

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Acc. arr. for piano.

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For violin and piano.

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Arrangement for violins 1-2 with piano accompaniment.

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Caption title.

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Event Marketing represents a common promotional strategy that involves direct contact between brands and consumers at special events, namely concerts, festivals, sporting events and fairs. Brands have been investing in sponsorship as a means of associating themselves with particular events, essentially with the goal to enhance brand image and brand awareness. Interestingly, the response of consumers to event marketing has not yet been fully understood. This dissertation fills this gap. More specifically, it intends to determine the extent to which sponsoring brands at events favors brand awareness (recall and recognition) and how it relates to brand attitude. Based on three Portuguese music festivals, two studies were conducted to ascertain event sponsorship’s impact on consumer memory, notably Brand Recall and Brand Recognition, and correlation with attitudes towards the brands such as familiarity and liking. The key findings of these studies show that recognition is much higher for those respondents who attended the festivals, presenting a score of 73,9%, in comparison with recall, presenting a much lower score of 37,5%. Further, and surprisingly, it suggests that the ability to recall and recognize sponsoring brands is not associated to consumer attitudes towards the brands. Instead, it relates to the time consumers dedicated to these particular events, that is, the number of music festivals attended.

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Background: Determination of the subcellular location of a protein is essential to understanding its biochemical function. This information can provide insight into the function of hypothetical or novel proteins. These data are difficult to obtain experimentally but have become especially important since many whole genome sequencing projects have been finished and many resulting protein sequences are still lacking detailed functional information. In order to address this paucity of data, many computational prediction methods have been developed. However, these methods have varying levels of accuracy and perform differently based on the sequences that are presented to the underlying algorithm. It is therefore useful to compare these methods and monitor their performance. Results: In order to perform a comprehensive survey of prediction methods, we selected only methods that accepted large batches of protein sequences, were publicly available, and were able to predict localization to at least nine of the major subcellular locations (nucleus, cytosol, mitochondrion, extracellular region, plasma membrane, Golgi apparatus, endoplasmic reticulum (ER), peroxisome, and lysosome). The selected methods were CELLO, MultiLoc, Proteome Analyst, pTarget and WoLF PSORT. These methods were evaluated using 3763 mouse proteins from SwissProt that represent the source of the training sets used in development of the individual methods. In addition, an independent evaluation set of 2145 mouse proteins from LOCATE with a bias towards the subcellular localization underrepresented in SwissProt was used. The sensitivity and specificity were calculated for each method and compared to a theoretical value based on what might be observed by random chance. Conclusion: No individual method had a sufficient level of sensitivity across both evaluation sets that would enable reliable application to hypothetical proteins. All methods showed lower performance on the LOCATE dataset and variable performance on individual subcellular localizations was observed. Proteins localized to the secretory pathway were the most difficult to predict, while nuclear and extracellular proteins were predicted with the highest sensitivity.