Musical genres: beating to the rhythms of different drums

Online music databases have increased significantly as a consequence of the rapid growth of the Internet and digital audio, requiring the development of faster and more efficient tools for music content analysis. Musical genres are widely used to organize music collections. In this paper, the problem of automatic single and multi-label music genre classification is addressed by exploring rhythm-based features obtained from a respective complex network representation. A Markov model is built in order to analyse the temporal sequence of rhythmic notation events. Feature analysis is performed by using two multi-variate statistical approaches: principal components analysis (unsupervised) and linear discriminant analysis (supervised). Similarly, two classifiers are applied in order to identify the category of rhythms: parametric Bayesian classifier under the Gaussian hypothesis (supervised) and agglomerative hierarchical clustering (unsupervised). Qualitative results obtained by using the kappa coefficient and the obtained clusters corroborated the effectiveness of the proposed method.

Generation of self-similar Gaussian time series by means of the DWT and DWPT variance maps

Due to the several kinds of services that use the Internet and data networks infra-structures, the present networks are characterized by the diversity of types of traffic that have statistical properties as complex temporal correlation and non-gaussian distribution. The networks complex temporal correlation may be characterized by the Short Range Dependence (SRD) and the Long Range Dependence - (LRD). Models as the fGN (Fractional Gaussian Noise) may capture the LRD but not the SRD. This work presents two methods for traffic generation that synthesize approximate realizations of the self-similar fGN with SRD random process. The first one employs the IDWT (Inverse Discrete Wavelet Transform) and the second the IDWPT (Inverse Discrete Wavelet Packet Transform). It has been developed the variance map concept that allows to associate the LRD and SRD behaviors directly to the wavelet transform coefficients. The developed methods are extremely flexible and allow the generation of Gaussian time series with complex statistical behaviors.

Evaluation of the Importance of Attributes in Customer Satisfaction with Supermarkets in the Mid-Valley Region of the Itajai - SC

In a dynamic atmosphere of competitiveness, customer satisfaction is a key factor in the long term success of a business relationship. From this perspective, the objective of the article was to evaluate the importance of attributes and customer satisfaction with Supermarkets in the Mid-Valley region of the ltajai/SC. Research methodology is characterized as descriptive, of the survey type, with a quantitative, cross section approach. The research instrument used was a questionnaire structured with open and closed questions, according to Lickert`s scale. By means of this, the degree of importance of supermarket attributes and the level of customer satisfaction with them were verified. In regard to the importance of the attributes, cleaning, parking, safety and variety of products are the most important, while the attributes Of purchase through the internet and taste samples are the least significant ones. The results of satisfaction point to the fact that the Supermarkets Big and Angeloni presented a greater degree of satisfaction in relation to the general average in practically all of the attributes, while Bistek presented the smallest degree of satisfaction, only surpassing the average in regard to the attribute of store lighting.

Clinical results after coronary stenting with the Genous (TM) Bio-engineered R stent (TM): 12-month outcomes of the e-HEALING (Healthy Endothelial Accelerated Lining Inhibits Neointimal Growth) worldwide registry

Aims: e-HEALING is a worldwide, internet-based registry designed to capture post marketing clinical data on the use of the Genous (TM) EPC capturing R stent (TM). Rapid restoration of a healthy endothelial layer after stent placement by capturing circulating endothelial progenitor cells may reduce both stent thrombosis (ST) and in-stent-restenosis. Methods and results: We planned a 5,000 patient registry with >= 1 lesion suitable for stenting. The 12-month primary outcome was target vessel failure (TVF), defined as target vessel-related cardiac death or myocardial infarction (MI) and target vessel revascularisation. Secondary outcomes were the composite of cardiac death, MI or target lesion revascularisation (TLR), and individual outcomes including ST. A total of 4,939 patients received >= 1 Genous stent between 2005 and 2007. Baseline characteristics showed a median age of 63 years, 79% males, 25% diabetics, and 37% with prior MI. A total of 49% of lesions treated were ACC/AHA type B2 or C; 1.1 stents per lesion were used. At 12 months, TVF occurred in 8.4% and the composite of cardiac death, MI or TLR in 7.9%. Twelve-month TLR and ST were 5.7% and 1.1%, respectively. Conclusions: Coronary stenting with the Genous results in good clinical outcomes, and low incidences of repeat revascularisation and ST.