THE DEVELOPMENT OF DUKE ELLINGTON\u27S COMPOSITIONAL STYLE: A COMPARATIVE ANALYSIS OF THREE SELECTED WORKS

Edward Kennedy Duke Ellingtons compositions are significant to the study of jazz and American music in general. This study examines his compositional style through a comparative analysis of three works from each of his main stylistic periods. The analyses focus on form, instrumentation, texture and harmony, melody, tonality, and rhythm. Each piece is examined on its own and their significant features are compared

Unlocking the Paradox of Christian Metal Music

In 1984, Stryper released its first album The Yellow and Black Attack and introduced audiences to a different kind of heavy metal. Instead of lyrics about sex, alcohol, and Satan, Stryper sang about Jesus, salvation, and God. While there were a number of fans ready for this change more were not. Members of the Church as well as members of the metal subculture were in agreement that Christianity and heavy metal were incompatible. Despite these objections, however, more bands emerged, and Christian metal became a significant genre within the Christian music industry. These bands presented Christian-oriented lyrics within the full spectrum of metal subgenres. This dissertation examines the ways in which Christian metal bands create an intersection between Christianity and the heavy metal subculture, infusing Christianity within the textual, visual, and musical structures of heavy metal. The author employs Deena Weinstein’s “metal code” to frame the analysis. The metal code includes the textual elements (band names, album and song titles, and song lyrics); the visual elements (band logos; album covers; and the various elements of the concert experience including the bands’ appearances, the staging, the interactions with the fans, and music videos); and the musical elements (timbre, modality, formal structure, and production of the songs and albums) that set metal apart from other musical genres. The dissertation also examines the concept of bands as “metal missionaries” that immerse themselves within the heavy metal subculture for the purpose of bringing the Christian message of hope and salvation. The author concludes that even though Christian metal bands modify aspects of elements that are otherwise incompatible with their Christian beliefs and message, they still maintain a sense of stylistic integrity that gives them credibility within the heavy metal subculture and allows them to fulfill their mission

Bronchial stump reinforcement with an azygous vein flap

Bronchial stump reinforcement has been shown to significantly reduce the incidence of bronchopleural fistulas. Various coverage techniques have been described in the literature. While the azygous vein flap is an easy, safe and effective reinforcement option for right-sided bronchial stumps, the flap is not widely adopted, with little mention in the literature, partly due to surgeons' uneasiness with the technique. In this report, we describe an easy-to-adopt approach to azygous vein bronchial reinforcement

White and Gray Matter Abnormalities After Cranial Radiation in Children and Mice

PurposePediatric patients treated with cranial radiation are at high risk of developing lasting cognitive impairments. We sought to identify anatomical changes in both gray matter (GM) and white matter (WM) in radiation-treated patients and in mice, in which the effect of radiation can be isolated from other factors, the time course of anatomical change can be established, and the effect of treatment age can be more fully characterized. Anatomical results were compared between species.Methods and MaterialsPatients were imaged with T1-weighted magnetic resonance imaging (MRI) after radiation treatment. Nineteen radiation-treated patients were divided into groups of 7 years of age and younger (7−) and 8 years and older (8+) and were compared to 41 controls. C57BL6 mice were treated with radiation (n=52) or sham treated (n=52) between postnatal days 16 and 36 and then assessed with in vivo and/or ex vivo MRI. In both cases, measurements of WM and GM volume, cortical thickness, area and volume, and hippocampal volume were compared between groups.ResultsWM volume was significantly decreased following treatment in 7− and 8+ treatment groups. GM volume was unchanged overall, but cortical thickness was slightly increased in the 7− group. Results in mice mostly mirrored these changes and provided a time course of change, showing early volume loss and normal growth. Hippocampal volume showed a decreasing trend with age in patients, an effect not observed in the mouse hippocampus but present in the olfactory bulb.ConclusionsChanges in mice treated with cranial radiation are similar to those in humans, including significant WM and GM alterations. Because mice did not receive any other treatment, the similarity across species supports the expectation that radiation is causative and suggests mice provide a representative model for studying impaired brain development after cranial radiation and testing novel treatments

Novel thoracoscopic approach to posterior mediastinal goiters: report of two cases

Trans-cervical resection of posterior mediastinal goiters is usually very difficult, requiring a high thoracotomy. Until recently, using conventional video-assisted thoracoscopic surgery to resect such tumors has been technically difficult and unsafe. By virtue of 3 dimensional visualization, greater dexterity, and more accurate dissection, the Da Vinci robot, for the first time, enables a completely minimally invasive approach to the posterior superior mediastinum

A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility

There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge stores of neuroscience data. At the same time, neuroscience, like many domains in biomedicine, is confronting the issues of transparency, rigor, and reproducibility. Widely used, validated standards and best practices are key to addressing the challenges in both big and small data science, as they are essential for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. However, developing community standards and gaining their adoption is difficult. The current landscape is characterized both by a lack of robust, validated standards and a plethora of overlapping, underdeveloped, untested and underutilized standards and best practices. The International Neuroinformatics Coordinating Facility (INCF), an independent organization dedicated to promoting data sharing through the coordination of infrastructure and standards, has recently implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. By formally serving as a standards organization dedicated to open and FAIR neuroscience, INCF helps evaluate, promulgate, and coordinate standards and best practices across neuroscience. Here, we provide an overview of the process and discuss how neuroscience can benefit from having a dedicated standards body

Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: exploring the roles of topography, minority populations, and political dissimilarity

Current research on flooding risk often focuses on understanding hazards, de-emphasizing the complex pathways of exposure and vulnerability. We investigated the use of both hydrologic and social demographic data for flood exposure mapping with Random Forest (RF) regression and classification algorithms trained to predict both parcel- and tract-level flood insurance claims within New York State, US. Topographic characteristics best described flood claim frequency, but RF prediction skill was improved at both spatial scales when socioeconomic data was incorporated. Substantial improvements occurred at the tract-level when the percentage of minority residents, housing stock value and age, and the political dissimilarity index of voting precincts were used to predict insurance claims. Census tracts with higher numbers of claims and greater densities of low-lying tax parcels tended to have low proportions of minority residents, newer houses, and less political similarity to state level government. We compared this data-driven approach and a physically-based pluvial flood routing model for prediction of the spatial extents of flooding claims in two nearby catchments of differing land use. The floodplain we defined with physically based modeling agreed well with existing federal flood insurance rate maps, but underestimated the spatial extents of historical claim generating areas. In contrast, RF classification incorporating hydrologic and socioeconomic demographic data likely overestimated the flood-exposed areas. Our research indicates that quantitative incorporation of social data can improve flooding exposure estimates