A Content Analysis of Recommended Composers in Repertoire Lists for Band

In this study I analyze and describe the contents of recommended band repertoire lists to explore which composers’ music is recommended and arranged for band most often. Fourteen repertoire lists provided by state-level music associations and independent publishers were included in the analysis, comprising a total of 32,267 entries. Previous research on band repertoire and programming has tended to focus on composers of advanced literature and has subsequently overlooked the contributions of composers who write music primarily intended for educational purposes. The 25 most recommended composers from each graded difficulty level of literature from 1 to 5+ and overall are reported. The findings provide recognition of composers’ contributions to music education and invite further discussions about how the quality, value, and difficulty of repertoire is determined

Leaders of the Pack: Responsibilities and Experiences of Collegiate Drum Majors

This study explored the responsibilities and experiences of three collegiate drum majors as student leaders of a marching band at a major university. Marching band continues to be a prevalent and highly visible aspect of music education in the United States. The preparation and utilization of student leaders in music remains common, but little research examining the actual experiences of student leaders in music has been conducted. As we continue to recruit student leaders for these positions, it may be of use to understand, from the student leader perspective, the challenges and perceived responsibilities associated with these positions. The participants in this study identified three distinct responsibilities of a drum major: (a) drum major as director’s musical advocate; (b) drum major as director’s political advocate; and (c) bridging the gap between students and staff. Additionally, the participants identified two concerns related to their experiences as student leaders in comparison to their band member peers: (a) social negotiations; and (b) defining an identity. Marching band, and its place in music education, has been the subject of much discussion during the last fifty years (Benkert, 2007; Isch, 1965; Kastens, 1981; Kursar, et al., 1990; Mason, et al., 1985; Miller, 1994; Peitersen, 1956; Rockefeller, 1982; Schmidt, 1961; Stith, 1956). Garrison (1986) contended that the “American public views the marching band as education\u27s most popular and essential music performance organization.” He stated that for many “laymen and educational administrators” the marching band is the only form of contact with school music curricula and that, “consequently, many people accept the marching band as the primary, if not the only, factor in assessing the quality and value of entire music departments and programs” (p. 49). Researchers have studied various aspects of the marching band activity. Rogers (1982, 1985) investigated the differing attitudes of directors, band members, parents and principals toward marching band contests and found that marching bands contributed positively to self-discipline, pride, and school public relations for those involved. More recently, Townsend (2004) conducted research examining recruitment and retention in college marching bands, noting the importance of social interaction among members, as well as the director’s leadership abilities as key elements of successful recruiting and retention. Rickels (2009) examined nonperformance variables in high school marching band festivals, such as “funding levels, pedagogical decisions about the structure of the band program, and demographics of the teachers, staff, and students in participating schools” as predictors of competitive success and found that nonperformance variables accounted for a high percentage of variance in the festival scores (p. iii). Leadership is a crucial component in any successful music ensemble, including marching bands, and it takes on many shapes and forms. Previous studies have focused on the leadership qualities of ensemble directors (Goodstein, 1987), the effects of leadership styles and ability on band festival ratings (Davison, 2007), the effects of involving students in musical decision making (Petters, 1976), and the sharing of best practices in training student leaders (Palen, 1997). The complexity of preparing students for leadership in musical organizations has stimulated the growth of numerous leadership camps and seminars, as well as texts that discuss various aspects of developing student leadership (e.g. Lang, 2007; Lautzenheiser, 2004, 2006; Parks, 1984). While seemingly thousands of high school and college students continue to participate in musical organizations as student leaders, there exists a paucity of research on the actual experiences of student leaders in music, particularly as told from their own perspectives. In this study, I seek to understand the leadership responsibilities and experiences of three drum majors of a university marching band from their own perspectives. By engaging in dialogue with the participants about their experiences as drum majors, I aim to understand how the participants make sense of and how they construct the world around them (Glesne, 2006). As marching band continues to be a highly visible part of the music curriculum in high schools, colleges, and universities throughout the United States, we should seek to understand better the triumphs, difficulties, and lessons learned by the students in our marching bands, specifically those students placed in leadership positions

On Simulating Tip-Leakage Vortex Flow to Study the Nature of Cavitation Inception

Cavitation is detrimental to the performance of ships and submarines, causing noise, erosion, and vibration. This study seeks to understand cavitation inception and delay on a typical ducted propulsor by utilizing the SimCenter\u27s unstructured simulation and design system: U2NCLE. Specifically, three fundamental questions are addressed: 1. What are the macroscale flow physics causing cavitation inception? 2. How does cavitation inception scale with Reynolds number? 3. How can tip-leakage vortex cavitation inception be suppressed? To study the physics of cavitation inception, a ducted propulso simulation is developed and extensively validated with experimental results. The numerical method is shown to agree very well with experimental measurements made in the vortex core. It was discovered that the interaction of the leakage and trailing edge vortices cause the pressure to drop to a local minimum, providing ideal conditions for inception to occur. However, experimental observation shows that inception does not occur at the minimum pressure location, but rather at the point where the two vortices completely coalesce. At the point of coalescence, the simulation reveals that the streamwise core velocity decelerates, causing the air nuclei to stretch and burst. A Reynolds number scaling analysis is performed for the minimum pressure and maximum velocity in the vortex core. First, the numerical method is validated on a flate plate at various Reynolds numbers to assess the ability of typical turbulence models to predict Reynolds numbers ranging from one million to one billion. This scaling analysis methodology is then applied to the propulsor simulation, revealing that the minimum pressure in the vortex core is much less dependent on Reynolds number than was previously hypothesized. Lastly, to investigate means of delaying cavitation inception, the propulsor is parameterized and studied using design optimization theory. Concepts of vortex alleviation evident in nature are used to suggest suitable parameterizations. Also, dimension reduction is used to reduced the number of design variables. Finally, the concepts are implemented, evaluated, and shown to completely decouple the two vortices causing cavitation inception. Moreover, the minimum pressure in the vortex core is significantly increased

A computational and experimental study of viscous flow around cavitating propulsors

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1995.Includes bibliographical references (leaves 87-89).by Wesley H. Brewer.M.S

Ocean Circulation Velocities Over the Continents During Noah\u27s Flood

This paper focuses on numerical experiments that qualitatively explore the velocities and patterns of ocean circulations that could have risen when the earth’s continental surface was mostly flooded during the catastrophic event of Noah’s day. Velocities and flow patterns are observed resulting from the earth’s rotation and gravity and other pertinent parameters: change in latitude, water depth, supercontinent size, number of days, and mesh size. This parametric study can provide insight into the water velocities that carried Noah’s Ark and insight regarding the hydraulic mechanisms that transported millions of cubic kilometers of sediment during Noah’s Flood. The hydraulic sedimentation may explain many present-day geological formations, which reveal sudden and catastrophic formation. In many cases the sedimentary distributions horizontally extended hundreds and thousands of kilometers and accomplished a vast amount of geological work in a matter of months. The geological conditions were assumed to be similar to that of late Paleozoic and early Mesozoic era, when the Pangea supercontinent existed. The numerical calculations employ two codes, one written by National Center for Atmospheric Research (NCAR) and the other by Dr. Baumgardner (1994). Both codes solve the 2-D shallow water equations on a rotating sphere with surface topography. The calculations from Dr. Baumgardner’s code showed a surprising yet persistent result with high velocities of the ocean currents over the Pangean-like continental configurations. The magnitudes of these velocities were around 40–80 m/s at higher latitudes. Catastrophic cavitation occurs for water velocities around 20-30 m/s and for free stream conditions lead to vaporous cavitation (Brennen, 1995; 2005, p. 142; Brewer, 2002, p. 4). This depends on the cavitation number for the prevailing conditions. Around such velocities, one would expect severe and rapid erosion to be associated with any major transgression of the continents by the ocean currents. Such currents would be expected to arise in the context of the scripture “all the high mountains everywhere under the heavens were covered with water” (Genesis 7:19). The NCAR code results showed some slightly lower velocities ranging up to the mid-20 m/s range. Even with these velocities, which are lower than those of the Dr. Baumgardner’s code results, the velocities are still sufficiently large to induce a global movement of sedimentation. As such, these types of calculations strengthen the evidence for Noah’s Flood and the associated consequences on the geological history of sedimentary rocks

Using Numerical Simulation to Test the Validity of Neo-Darwinian Theory

Evolutionary genetic theory has a series of apparent “fatal flaws” which are well known to population geneticists, but which have not been effectively communicated to other scientists or the public. These fatal flaws have been recognized by leaders in the field for many decades—based upon logic and mathematical formulations. However population geneticists have generally been very reluctant to openly acknowledge these theoretical problems, and a cloud of confusion has come to surround each issue. Numerical simulation provides a definitive tool for empirically testing the reality of these fatal flaws and can resolve the confusion. The program Mendel’s Accountant (Mendel) was developed for this purpose, and it is the first biologically-realistic forward-time population genetics numerical simulation program. This new program is a powerful research and teaching tool. When any reasonable set of biological parameters are used, Mendel provides overwhelming empirical evidence that all of the “fatal flaws” inherent in evolutionary genetic theory are real. This leaves evolutionary genetic theory effectively falsified—with a degree of certainty which should satisfy any reasonable and open-minded person

Mendel\u27s Accountant: A New Population Genetics Simulation Tool for Studying Mutation and Natural Selection

Mendel’s Accountant (hereafter referred to as “Mendel”) is a state-of-the-art forward-time population genetics model that tracks millions of individual mutations with their unique effects on fitness and unique location within the genome through large numbers of generations. It treats the process of natural selection in a precise way. It allows a user to choose values for a large number of parameters such as those specifying the mutation effect distribution, reproduction rate, population size, and variations in environmental conditions. Mendel is thus a versatile and capable research tool that can be applied to problems in human genetics, plant and animal breeding, and management of endangered species. With its user-friendly graphical user interface and its ability to run on laptop computers it can also be fruitfully employed in teaching genetics and genetic principles, even at a high school level. Mendel is freely available to users and can be downloaded from the web. When biologically realistic parameters are selected, Mendel shows consistently that genetic deterioration is an inevitable outcome of the processes of mutation and natural selection. The primary reason is that most deleterious mutations are too subtle to be detected and eliminated by natural selection and therefore accumulate steadily generation after generation and inexorably degrade fitness

Assessment of Neural Network Augmented Reynolds Averaged Navier Stokes Turbulence Model in Extrapolation Modes

A machine-learned (ML) model is developed to enhance the accuracy of turbulence transport equations of Reynolds Averaged Navier Stokes (RANS) solver and applied for periodic hill test case, which involves complex flow regimes, such as attached boundary layer, shear-layer, and separation and reattachment. The accuracy of the model is investigated in extrapolation modes, i.e., the test case has much larger separation bubble and higher turbulence than the training cases. A parametric study is also performed to understand the effect of network hyperparameters on training and model accuracy and to quantify the uncertainty in model accuracy due to the non-deterministic nature of the neural network training. The study revealed that, for any network, less than optimal mini-batch size results in overfitting, and larger than optimal batch size reduces accuracy. Data clustering is found to be an efficient approach to prevent the machine-learned model from over-training on more prevalent flow regimes, and results in a model with similar accuracy using almost one-third of the training dataset. Feature importance analysis reveals that turbulence production is correlated with shear strain in the free-shear region, with shear strain and wall-distance and local velocity-based Reynolds number in the boundary layer regime, and with streamwise velocity gradient in the accelerating flow regime. The flow direction is found to be key in identifying flow separation and reattachment regime. Machine-learned models perform poorly in extrapolation mode, wherein the prediction shows less than 10% correlation with Direct Numerical Simulation (DNS). A priori tests reveal that model predictability improves significantly as the hill dataset is partially added during training in a partial extrapolation model, e.g., with the addition of only 5% of the hill data increases correlation with DNS to 80%.Comment: 50 pages, 18 figure

Impact of Menstrual Cycle on Resting and Postprandial Metabolism in Recreationally Active, Eumenorrheic Females

Changes in estrogen and progesterone across the menstrual cycle impact many biological systems including resting and postprandial metabolism. PURPOSE: To investigate whether menstrual cycle phase impacted resting and postprandial energy expenditure (EE) and substrate utilization in recreationally active, eumenorrheic females. METHODS: In this study, 8 eumenorrheic females (mean±SD age: 33±8 years, BMI: 22.5±2.2 kg/m2; VO2max: 36.9±3.8 ml/kg/min) had resting energy expenditure (REE) and substrate utilization continuously measured with indirect calorimetry for 45 min at rest after an overnight fast, and for 3 h after a mixed meal (490 kcal, 53% carbohydrate, 31% fat, 20% protein) during three distinct phases of the menstrual cycle (early follicular, late follicular, and mid luteal). Menstrual cycle phase was determined using calendar-based counting, ovulation test strips, and confirmed via serum hormone levels (estrogen and progesterone). REE (kcal/day) was calculated using the abbreviated Weir Equation. Diet-induced thermogenesis (DIT) was calculated by subtracting REE (kcal/min) from postprandial EE (kcal/min). This value (kcal/min) was then multiplied by the testing time (180 min) to obtain DIT (kcal) for the 3-h postprandial period. A one-way, repeated measures ANOVA was used to assess differences in REE, respiratory quotient (RQ), and DIT across menstrual cycle phase. All data reported as mean±SD. RESULTS: REE was higher during mid luteal (1486±178 kcal/day) compared to early follicular (1409±108 kcal/day) and late follicular (1390±103 kcal/day) phases (F[2,14]=2.28, p=0.14; effect size=0.25). Resting RQ did not differ across menstrual cycle phase. DIT was higher during early follicular (34±8 kcal) and late follicular (32±12 kcal) than mid-luteal (23±12 kcal) phase (F[2,14]=3.02, p=0.08; effect size=0.30). Postprandial RQ was higher during early follicular (0.87±0.04) and late follicular (0.87±0.03) than mid-luteal (0.85±0.04) phase (F[2,14]=3.22, p=0.07; effect size=0.32). CONCLUSION: These preliminary results on 8 recreationally active, eumenorrheic females suggest that resting and postprandial metabolism may differ across the menstrual cycle. It is unclear whether the magnitude of these differences is clinically meaningful

Neonatal-onset multisystem inflammatory disease responsive to interleukin-1 beta inhibition

BACKGROUND:Neonatal-onset multisystem inflammatory disease is characterized by fever, urticarial rash, aseptic meningitis, deforming arthropathy, hearing loss, and mental retardation. Many patients have mutations in the cold-induced autoinflammatory syndrome 1 (CIAS1) gene, encoding cryopyrin, a protein that regulates inflammation.METHODS:We selected 18 patients with neonatal-onset multisystem inflammatory disease (12 with identifiable CIAS1 mutations) to receive anakinra, an interleukin-1-receptor antagonist (1 to 2 mg per kilogram of body weight per day subcutaneously). In 11 patients, anakinra was withdrawn at three months until a flare occurred. The primary end points included changes in scores in a daily diary of symptoms, serum levels of amyloid A and C-reactive protein, and the erythrocyte sedimentation rate from baseline to month 3 and from month 3 until a disease flare.RESULTS:All 18 patients had a rapid response to anakinra, with disappearance of rash. Diary scores improved (P<0.001) and serum amyloid A (from a median of 174 mg to 8 mg per liter), C-reactive protein (from a median of 5.29 mg to 0.34 mg per deciliter), and the erythrocyte sedimentation rate decreased at month 3 (all P<0.001), and remained low at month 6. Magnetic resonance imaging showed improvement in cochlear and leptomeningeal lesions as compared with baseline. Withdrawal of anakinra uniformly resulted in relapse within days; retreatment led to rapid improvement. There were no drug-related serious adverse events.CONCLUSIONS:Daily injections of anakinra markedly improved clinical and laboratory manifestations in patients with neonatal-onset multisystem inflammatory disease, with or without CIAS1 mutations