User-centric music information retrieval

The rapid growth of the Internet and the advancements of the Web technologies have made it possible for users to have access to large amounts of on-line music data, including music acoustic signals, lyrics, style/mood labels, and user-assigned tags. The progress has made music listening more fun, but has raised an issue of how to organize this data, and more generally, how computer programs can assist users in their music experience. An important subject in computer-aided music listening is music retrieval, i.e., the issue of efficiently helping users in locating the music they are looking for. Traditionally, songs were organized in a hierarchical structure such as genre->artist->album->track, to facilitate the users’ navigation. However, the intentions of the users are often hard to be captured in such a simply organized structure. The users may want to listen to music of a particular mood, style or topic; and/or any songs similar to some given music samples. This motivated us to work on user-centric music retrieval system to improve users’ satisfaction with the system. The traditional music information retrieval research was mainly concerned with classification, clustering, identification, and similarity search of acoustic data of music by way of feature extraction algorithms and machine learning techniques. More recently the music information retrieval research has focused on utilizing other types of data, such as lyrics, user-access patterns, and user-defined tags, and on targeting non-genre categories for classification, such as mood labels and styles. This dissertation focused on investigating and developing effective data mining techniques for (1) organizing and annotating music data with styles, moods and user-assigned tags; (2) performing effective analysis of music data with features from diverse information sources; and (3) recommending music songs to the users utilizing both content features and user access patterns.

Tobacco use prevention education (TUPE) programs in the state of Florida: Teachers' perceptions of program structure and effectiveness

This study described teacher perceptions of TUPE program effectiveness in Florida in an attempt to improve programs by identifying factors that might influence teacher motivation and performance. Very little work has been done to examine how teachers' perceptions are related to the effectiveness of TUPE programs. A statewide survey provided information about how teachers' perceptions of program effectiveness are affected by variables such as: program structure, barriers, tobacco use norms, and training variables. Data were obtained from a telephone survey conducted in Florida as part of the Tobacco Pilot Project (TPP). The sample included 296 middle school teachers and 282 high school teachers as well as 193 middle school principals and 190 high school principals. Correlational and hierarchical regression analyses identified correlates and predictors of teachers' ratings of effectiveness. Results suggest that use of peer leaders, more frequent evaluations, a higher degree of parent involvement, fewer barriers, greater student interest, and lower tolerance for tobacco use were correlated with higher ratings of program effectiveness. Furthermore, student interest, peer, staff, and community tolerance norms, peer leaders, program evaluation, and parent involvement predicted middle school teachers' perceptions. Parent tolerance, student interest, number of barriers, and more frequent program evaluation predicted high school teachers' perceptions. In addition, middle school teachers who reported a lower number of factors negatively associated with teacher receptivity were more likely to view TUPE programs more favorably than teachers who reported a greater number of these risk factors. This relationship was not as robust among the high school teacher sample. Differences between the middle and high school sample were found in the magnitude and number of significant correlations, the proportion of variance accounted for by predictor variables, and the strength of the relationship between the number of factors negatively associated with teacher receptivity and teachers' perceptions of TUPE effectiveness. These findings highlighted the importance of the timing, program features, and the external environment for enhancing or minimizing teachers' ratings of TUPE program effectiveness. In conclusion, significant increases in TUPE teachers' self-efficacy will occur through the participation of peers, parents, staff, and community leaders in different aspects of TUPE programs. ^

Applying stable isotopes to examine food-web structure: an overview of analytical tools

Stable isotope analysis has emerged as one of the primary means for examining the structure and dynamics of food webs, and numerous analytical approaches are now commonly used in the field. Techniques range from simple, qualitative inferences based on the isotopic niche, to Bayesian mixing models that can be used to characterize food-web structure at multiple hierarchical levels. We provide a comprehensive review of these techniques, and thus a single reference source to help identify the most useful approaches to apply to a given data set. We structure the review around four general questions: (1) what is the trophic position of an organism in a food web?; (2) which resource pools support consumers?; (3) what additional information does relative position of consumers in isotopic space reveal about food-web structure?; and (4) what is the degree of trophic variability at the intrapopulation level? For each general question, we detail different approaches that have been applied, discussing the strengths and weaknesses of each. We conclude with a set of suggestions that transcend individual analytical approaches, and provide guidance for future applications in the field.