Este artigo traz uma reflexão sobre as categorias de análise que são usadas para obras de diferentes poéticas e estilos. Lembramos que a taxonomia foi primeira categoria de análise a ser usada. Continua sendo muito empregada, como por exemplo na análise harmônica tradicional. A segunda categoria de análise é a funcional, empregada por exemplo na análise harmônica riemanniana. Essa categoria se reinventa na estratégia da engenharia reversa como a que é usada na contagem da série dodecafônica. A terceira categoria é da hermenêutica que também envolve estratégias heurísticas. Ela tem sido a base de diversas teorias analíticas recentes como a das Tópicas e da Narratividade. Finalmente reconhecemos como quarta categoria a estratégia da modelagem, aplicada às obras cuja análise é resistente às categorias anteriores. Propomos que a análise do timbre é particularmente afeita à estratégia da modelagem, reconhecendo que a técnica da modelagem física por meios digitais oferece uma perspectiva promissora nessa direção.
Original and transformed samples of berimbau, cuica and zunidores sounds, instruments typical of Brazilian folk music, as well as synthesised sounds that emulate spectro-morphological variations of the sounds of these instruments, were assembled into the library of electronic sounds used in Coelho de Souza's Concerto for Computer and Orchestra. This approach had strong implications for the cultural identity of the piece and for the strategies of integration of the computer with the orchestra.
We call PCORD the prime form the interval string of Forte’s set classes. Analysis based on PCORD relations can yield a structural similarity between two different set classes, besides some possible perceptual likeness, measured by trichordal content. However different, the PCORD relation is analog to Forte’s Z-relation, but more embracing. This study provides the table of all set classes related by PCORD to be used as an analytical and compositional tool. The paper points out a precursor analytical use of the PCORD relation by Richard Parks in Debussy’s music. To demonstrate the analytical application of PCORD-relations, we analyzed four excerpts: from Hans Otte’s Das Buch der Klänge (1982), Villa-Lobos’ Rudepoema (1920) and from Coelho de Souza’s Metropolis (1990) and Dialogues (1987). We also analyzed the harmonic content of set classes using trichords or PCORDs of cardinality 3 and the PCORD connections in the voice-leading space of set classes with cardinality 3 to 9. Finally, we proposed that PCORD theory can be used as a compositional tool to engender harmonic directionality in atonal progressions.
Introduction Vasoplegic syndrome (VS) is one of the most common unexpected complications following cardiothoracic surgery, approaching a 25% mortality rate. No standardized methods for diagnosing VS are available. A biomarker is a valuable tool in all fields of medicine, especially in cardiovascular disease when the patient has to undergo invasive surgery as on-pump CABG. MicroRNAs (miRNAs) have been studied and employed as biomarkers for numerous diseases, however, there are no studies regarding their expression in VS. Purpose To discover a new predictor of VS by comparing the miRNA profiles from patients who evolved to VS versus those who did not evolve after following Coronary artery bypass graft surgery (CABG). Methods A nested case-control study had an exploratory nature and involved an initial cohort of 87 patients who underwent on-pump CABG in elective or urgency procedures,considering the low surgical risk (STS score <2%). For this analysis, we compared 30 patients, divided into two groups: patients who evolved VS (VASO group, n=15) and who did not evolve VS (NONVASO group, n=15) after surgery. To perform the miRNA profiling, the target prediction, and identify the putative targets of the dysregulated miRNAs, the whole blood samples were collected after anesthetic induction and before incision in the chest (Figure 1A). Results We identified among the 754 screened miRNAs, eight differentially circulating miRNAs in the whole blood of VASO versus NONVASO groups (Figure 1B). Six miRNAs were increased (hsa-miR-548c-3p, hsa-miR-30d-5p, hsa-miR8 199b-5p, hsa-miR-183-3p, hsa-miR-571, hsa-miR-383-5p) and two were decreased (hsa-miR-1236-3p, hsa-miR-770-5p) and hsa-miR-1236-3p was not statistically significant (Figure 1C). The ROC curves for each single miRNAs yielded the top 2 highest AUC values of 0.8333 and 0.8178 for hsa-miR-770-5p and hsa-miR-30d-5p, respectively. The combination of these two miRNAs yielded an AUC value of 0.9615 with 84.6% sensitivity and 91.67% specificity in distinguishing patients from VASO from NONVASO groups showed a superior diagnostic power to that of a single miRNA (Figure 2). Computational analyses identified as the top enriched pathway the “Apelin Liver Signaling Pathway” with 14 out of 26 molecules within the pathway (53,8%) containing the higher number of targets of the dysregulated miRNAs. There was no statistical difference in preoperative, postoperative, EuroSCORE II, and variables comparing both groups. Conclusion(s) We showed that miRNA-770-5p and miRNA-30d-5p could be employed as potential biomarkers of VS, a new strategy to VS diagnosis since miRNAs expression could distinguish patients who could and could not evolve the disease. The capability of predicting VS with high accuracy would drastically change the clinical management and patient's referral to cardiac surgery by helping in decision-making once the clinical score risks proved to be unable to predict VS in low-risk patients. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): Fundação de Amparo a Pesquisa de São Paulo - FAPESP
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.