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671 result(s) for "Fisher, Ryan A."
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Effect of Self-Listening on Self-Evaluation Accuracy
The purpose of this study was to determine the effect of self-listening on self-evaluation accuracy. Twenty-six undergraduate musicians self-evaluated their individual performances of a musical excerpt. Volunteer participants were randomly assigned to the experimental group or the control group. The experimental group members listened to the audio playback of their self-recorded performance before self-evaluating, while control group members did not. Both groups read information about self-evaluation before scoring their performances. Participants’ self-evaluations were compared to the mean scores of a panel of expert judges to determine the accuracy of the self-evaluations. The panel of judges listened to the recordings of the individual performances before completing assessments. The participants and the judges used a researcher-modified version of the Woodwind Brass Solo Evaluation Form to assess the individual performances. Self-accuracy was calculated as the absolute difference between students’ self-scores and the mean of the three judges’ scores; a small absolute difference indicated high self-evaluation accuracy. For purposes of data analyses, the 2 groups (self-listening and nonlistening) served as the independent variable, and the total self-evaluation accuracy score served as the dependent variable. A one-way, between subjects ANOVA revealed no main effect for treatment group on total self-evaluation accuracy, F(1, 24) = 3.08, p = .09, η2 = .11.
The Impacts of the Voice Change, Grade Level, and Experience on the Singing Self-Efficacy of Emerging Adolescent Males
The purposes of the study are to describe characteristics of the voice change in sixth-, seventh-, and eighth-grade choir students using Cooksey's voice-change classification system and to determine if the singing self-efficacy of adolescent males is affected by the voice change, grade level, and experience. Participants (N = 80) consisted of volunteer sixth-grade, seventh-grade, and eighth-grade males enrolled in a public school choral program. Participants completed the Singing Self-Efficacy Scale for Emerging Adolescent Males (SSES). After completing the SSES, participants were individually audio-recorded performing simple vocal exercises to attain each boy's vocal range. Results revealed that 45% of sixth-grade participants, 48.15% of seventhgrade participants, and 87.88% of eighth-grade participants were classified as changing voices. Results of a three-way between-subjects ANOVA revealed no main effect for voice-change stage or grade level. A main effect was found for experience, favoring participants with 3 or more years of experience in choir. No statistically significant interactions were found.
Effects of Conducting Plane on Band and Choral Musicians' Perceptions of Conductor and Ensemble Expressivity
The purpose of this study was to examine whether one aspect of conducting technique, the conducting plane, would affect band and/or choral musicians' perceptions of conductor and ensemble expressivity. A band and a choral conductor were each videotaped conducting I-min excerpts from Morten Lauridsen's O Magnum Mysterium while using a high, medium, and low conducting plane. These six videos then were synchronized with an appropriately corresponding identical high-quality band or choral audio excerpt. College ensemble members (N = 120; band, n = 60; choral, n = 60) viewed all six videos and rated the expressivity of both the conductor and the ensemble. Through the use of a forced-choice task, they also provided one brief comment about either the conductor or the ensemble. Results indicated that conducting plane significantly affected ratings of both conductor and ensemble expressivity. A significant interaction was found between conducting plane (high, medium, and low) and ensemble type (band or choir audio excerpt heard) with regard to conductor expressivity ratings. Participants found the choir conductor conducting at the medium plane to be slightly more expressive than the band conductor conducting at the same plane. Conversely, participants rated the expressivity of the band conductor slightly higher than the choir conductor at both the high and low conducting planes. Participants' written comments were directed predominantly at the conductor rather than the ensemble, and the high-conducting-plane videos elicited the most negative comments.
A Comparison of Collegiate Ensemble Members’ Preferences of Teacher Interpersonal Behaviors
The purpose of the present study was to examine collegiate band, choir, and orchestra members’ preferred teacher interpersonal behaviors. The sample (N = 705) was composed of band, choir, and orchestra members at six universities. Participants completed the Teacher Interaction Preference Questionnaire (TIPQ). Descriptive results showed that all sub-groups most preferred the dominant-cooperative (DC) behaviors, followed by submissive-cooperative (SC) behaviors, and least preferred the dominant-oppositional (DO) behaviors. Three one-way, between-subjects ANOVAs were used with ensemble type (band, choir, and orchestra) as the independent variable and the TIPQ category (DC, SC, DO) as the dependent variable. A main effect was found for ensemble on the TIPQ-SC category with band and choir participants having a significantly higher preference for submissive-cooperative teacher interactions than orchestra participants. These findings indicate that the use of a formative assessment tool could be valuable to the music teacher in gauging preferences and effectiveness in the music classroom.
Effect of Ethnicity on the Age of Onset of the Male Voice Change
The purposes of this study were to compare the age of onset of the voice change in African American, White, and Hispanic male students, as well as to describe characteristics of the changing male voice in fourth-, fifth-, and sixth-grade students, using Cooksey’s maturation stages. Participants included volunteers from two urban elementary schools, five suburban elementary schools, one suburban middle school, and one urban middle school (African American n = 62, White n = 58, and Hispanic n = 77). Participants were recorded individually performing three ascending and three descending glissandi on an “ah” syllable. Results indicated that approximately 46% of fourth-grade participants, 62% of fifth-grade participants, and 67% of sixth-grade participants were classified as having changing voices. Results of a one-way, between-subjects ANOVA revealed no significant main effect for ethnicity, although a larger percentage of African American participants’ voices were classified as changing voices as compared with those of Hispanic and White participants. The overall mean age of onset for participants in this study was approximately 11.20 years of age.
Effect of Ethnicity on the Age of Onset of the MaleVoice Change
The purposes of this study were to compare the age of onset of the voice change in African American, White, and Hispanic male students, as well as to describe characteristics of the changing male voice in fourth-, fifth-, and sixth-grade students, using Cooksey's maturation stages. Participants included volunteers from two urban elementary schools, five suburban elementary schools, one suburban middle school, and one urban middle school (African American n = 62, White n = 58, and Hispanic n = 77). Participants were recorded individually performing three ascending and three descending glissandi on an \"ah\" syllable. Results indicated that approximately 46% of fourth-grade participants, 62% of fifth-grade participants, and 67% of sixth-grade participants were classified as having changing voices. Results of a one-way, between-subjects ANOVA revealed no significant main effect for ethnicity, although a larger percentage of African American participants' voices were classified as changing voices as compared with those of Hispanic and White participants. The overall mean age of onset for participants in this study was approximately 11.20 years of age.
Adaptive genome duplication affects patterns of molecular evolution in Saccharomyces cerevisiae
Genome duplications are important evolutionary events that impact the rate and spectrum of beneficial mutations and thus the rate of adaptation. Laboratory evolution experiments initiated with haploid Saccharomyces cerevisiae cultures repeatedly experience whole-genome duplication (WGD). We report recurrent genome duplication in 46 haploid yeast populations evolved for 4,000 generations. We find that WGD confers a fitness advantage, and this immediate fitness gain is accompanied by a shift in genomic and phenotypic evolution. The presence of ploidy-enriched targets of selection and structural variants reveals that autodiploids utilize adaptive paths inaccessible to haploids. We find that autodiploids accumulate recessive deleterious mutations, indicating an increased susceptibility for nonadaptive evolution. Finally, we report that WGD results in a reduced adaptation rate, indicating a trade-off between immediate fitness gains and long-term adaptability.
Using Stock Returns to Identify Government Spending Shocks
This article explores a new approach to identifying government spending shocks which avoids many of the shortcomings of existing approaches. The new approach is to identify government spending shocks with statistical innovations to the accumulated excess returns of large US military contractors. This strategy is used to estimate the dynamic responses of output, hours, consumption and real wages to a government spending shock. We find that positive government spending shocks are associated with increases in output, hours and consumption. Real wages initially decline after a government spending shock and then rise after a year. We estimate the government spending multiplier associated with increases in military spending to be about 1.5 over a horizon of 5 years.
Invasive European green crab (Carcinus maenas) predation in a Washington State estuary revealed with DNA metabarcoding
Predation by invasive species can threaten local ecosystems and economies. The European green crab ( Carcinus maenas ), one of the most widespread marine invasive species, is an effective predator associated with clam and crab population declines outside of its native range. In the U.S. Pacific Northwest, green crab has recently increased in abundance and expanded its distribution, generating concern for estuarine ecosystems and associated aquaculture production. However, regionally-specific information on the trophic impacts of invasive green crab is very limited. We compared the stomach contents of green crabs collected on clam aquaculture beds versus intertidal sloughs in Willapa Bay, Washington, to provide the first in-depth description of European green crab diet at a particularly crucial time for regional management. We first identified putative prey items using DNA metabarcoding of stomach content samples. We compared diet composition across sites using prey presence/absence and an index of species-specific relative abundance. For eight prey species, we also calibrated metabarcoding data to quantitatively compare DNA abundance between prey taxa, and to describe an ‘average’ green crab diet at an intertidal slough versus a clam aquaculture bed. From the stomach contents of 61 green crabs, we identified 54 unique taxa belonging to nine phyla. The stomach contents of crabs collected from clam aquaculture beds were significantly different from the stomach contents of crabs collected at intertidal sloughs. Across all sites, arthropods were the most frequently detected prey, with the native hairy shore crab ( Hemigrapsus oregonensis ) the single most common prey item. Of the eight species calibrated with a quantitative model, two ecologically-important native species–the sand shrimp ( Crangon franciscorum) and the Pacific staghorn sculpin ( Leptocottus armatus )–had the highest average DNA abundance when detected in a stomach content sample. In addition to providing timely information on green crab diet, our research demonstrates the novel application of a recently developed model for more quantitative DNA metabarcoding. This represents another step in the ongoing evolution of DNA-based diet analysis towards producing the quantitative data necessary for modeling invasive species impacts.
Deciphering microbial interactions in synthetic human gut microbiome communities
The ecological forces that govern the assembly and stability of the human gut microbiota remain unresolved. We developed a generalizable model‐guided framework to predict higher‐dimensional consortia from time‐resolved measurements of lower‐order assemblages. This method was employed to decipher microbial interactions in a diverse human gut microbiome synthetic community. We show that pairwise interactions are major drivers of multi‐species community dynamics, as opposed to higher‐order interactions. The inferred ecological network exhibits a high proportion of negative and frequent positive interactions. Ecological drivers and responsive recipient species were discovered in the network. Our model demonstrated that a prevalent positive and negative interaction topology enables robust coexistence by implementing a negative feedback loop that balances disparities in monospecies fitness levels. We show that negative interactions could generate history‐dependent responses of initial species proportions that frequently do not originate from bistability. Measurements of extracellular metabolites illuminated the metabolic capabilities of monospecies and potential molecular basis of microbial interactions. In sum, these methods defined the ecological roles of major human‐associated intestinal species and illuminated design principles of microbial communities. Synopsis Analysis of microbial interactions in a synthetic human gut microbiome community shows that pairwise microbial interactions are major drivers of multi‐species community dynamics. The study reveals ecological drivers, metabolite hub species and ecologically sensitive organisms in the network. A data‐driven pipeline is used to construct a predictive dynamic model of a diverse anaerobic human gut microbiome community. Design principles of stable coexistence and history‐dependence are elucidated. Ecological roles and metabolite profiles are analyzed for each organism. The study highlights challenges in using phylogenetic and exo‐metabolomic “signals” to predict microbial interactions and community functions. Graphical Abstract Analysis of microbial interactions in a synthetic human gut microbiome community shows that pairwise microbial interactions are major drivers of multi‐species community dynamics. The study reveals ecological drivers, metabolite hub species and ecologically sensitive organisms in the network.