Teaching Australian cello music to Intermediate students: An exploratory study of motivation through repertoire

This paper explores the motivational aspects of repertoire for intermediate student cellists. Research into interest and intrinsic motivation related to the learning of instrumental music has been limited to date. As a cello teacher interested in including contemporary and Australian music in my students' studies I started to research availability of Australian repertoire for intermediate cellists and found that there was limited accessibility to such pedagogical material at this level. This study emerged as a way of providing useful information to composers. It investigates intrinsic motivation by questioning students and their teachers about which aspects of music repertoire are most likely to inspire students to practice more and strive for excellence. This paper presents the findings of the purpose-designed questionnaire distributed to cello teachers in Queensland. A similar set of questions has been prepared for student cellists and information gathering from students is still underway. Musical aspects investigated include technique and its development, style, harmony, tempo (speed), and rhythm. The questionnaire gathered information on the most frequently used teaching repertoire and teachers' experiences in teaching contemporary and Australian repertoire. This information was balanced with questions regarding the technical developmental requirements perceived necessary for intermediate students as well as other motivational aspects. It is hoped that information collated from this research will be of benefit in the selection of motivational repertoire for intermediate student cellists and especially in promoting the composition of Australian pieces for intermediate cellists.

Evaluation and comparison of mammalian subcellular localization prediction methods

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.