42 research outputs found

    Junior Recital: Jared Leach, jazz guitar

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    This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Performance. Mr. Leach studies jazz guitar with Trey Wright.https://digitalcommons.kennesaw.edu/musicprograms/1495/thumbnail.jp

    Junior Recital: Kwame Paige, saxophone

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    This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Performance. Mr. Paige studies saxophone with Sam Slelton.https://digitalcommons.kennesaw.edu/musicprograms/1507/thumbnail.jp

    Jazz Combos and Jazz Guitar Ensemble

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    Kennesaw State University School of Music presents Jazz Combos and Jazz Guitar Ensemble.https://digitalcommons.kennesaw.edu/musicprograms/1399/thumbnail.jp

    Jazz Guitar Ensemble and Jazz Combos

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    Kennesaw State University School of Music presents Jazz Guitar Ensemble and Jazz Combos.https://digitalcommons.kennesaw.edu/musicprograms/1353/thumbnail.jp

    Jazz Guitar Ensemble and Jazz Combos

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    Kennesaw State University School of Music presents Jazz Guitar Ensemble and Jazz Combos.https://digitalcommons.kennesaw.edu/musicprograms/1422/thumbnail.jp

    Center on Disability Studies eNewsletter, September 2022

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    Welcome to the September 2022 issue of the CDS eNewsletter. Special highlights in this issue include: Featured Artist Lynnell Mateaki RDS Seeks Manuscript Review Board Members Exhibitor Release #PacRim2023 Introducing Deaf in Government Partnership #PacRim2023 Call for Presentation Proposals #PacRim2023 Legislative Forum Dates | HawaiÊ»i DD Council HawaiÊ»i's Path to Employment First Seminar Recording Now Available 2022-2023 CDS Community Advisory Council Introduction Website Launch Project HoÊ»okuÊ»i V: KĆ«lia i ka NuÊ»u Fall Announcements with Project HƍkĆ«lani eNewsletterSpecial eNewsletter highlights include: Featured Artist Lynnell Mateaki; RDS Seeks Disability Studies Call for Reviewers; Pac Rim Exhibitor Invitation; Pac Rim Call for Proposals; HawaiÊ»i State Council on Developmental Disabilities Legislative Forums; Presentation HawaiÊ»i's Path to Employment First with Patrick Gartside available; Introducing 2022-2023 Community Advisory Council; Project HoÊ»okuÊ»i V: KĆ«lia i ka NuÊ»u Website Launch; and Project HƍkĆ«lani 2022 Summer eNewsletter Release, HƍkĆ«lani Insider

    Validation of Walk ScoreÂź for Estimating Neighborhood Walkability: An Analysis of Four US Metropolitan Areas

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    Neighborhood walkability can influence physical activity. We evaluated the validity of Walk Score¼ for assessing neighborhood walkability based on GIS (objective) indicators of neighborhood walkability with addresses from four US metropolitan areas with several street network buffer distances (i.e., 400-, 800-, and 1,600-meters). Address data come from the YMCA-Harvard After School Food and Fitness Project, an obesity prevention intervention involving children aged 5–11 years and their families participating in YMCA-administered, after-school programs located in four geographically diverse metropolitan areas in the US (n = 733). GIS data were used to measure multiple objective indicators of neighborhood walkability. Walk Scores were also obtained for the participant’s residential addresses. Spearman correlations between Walk Scores and the GIS neighborhood walkability indicators were calculated as well as Spearman correlations accounting for spatial autocorrelation. There were many significant moderate correlations between Walk Scores and the GIS neighborhood walkability indicators such as density of retail destinations and intersection density (p < 0.05). The magnitude varied by the GIS indicator of neighborhood walkability. Correlations generally became stronger with a larger spatial scale, and there were some geographic differences. Walk Score¼ is free and publicly available for public health researchers and practitioners. Results from our study suggest that Walk Score¼ is a valid measure of estimating certain aspects of neighborhood walkability, particularly at the 1600-meter buffer. As such, our study confirms and extends the generalizability of previous findings demonstrating that Walk Score is a valid measure of estimating neighborhood walkability in multiple geographic locations and at multiple spatial scales

    Drivers of site fidelity in ungulates

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    1. While the tendency to return to previously visited locations—termed ‘site fidelity’—is common in animals, the cause of this behaviour is not well understood. One hypothesis is that site fidelity is shaped by an animal's environment, such that animals living in landscapes with predictable resources have stronger site fidelity. Site fidelity may also be conditional on the success of animals’ recent visits to that location, and it may become stronger with age as the animal accumulates experience in their landscape. Finally, differences between species, such as the way memory shapes site attractiveness, may interact with environmental drivers to modulate the strength of site fidelity. 2. We compared inter‐year site fidelity in 669 individuals across eight ungulate species fitted with GPS collars and occupying a range of environmental conditions in North America and Africa. We used a distance‐based index of site fidelity and tested hypothesized drivers of site fidelity using linear mixed effects models, while accounting for variation in annual range size. 3. Mule deer Odocoileus hemionus and moose Alces alces exhibited relatively strong site fidelity, while wildebeest Connochaetes taurinus and barren‐ground caribou Rangifer tarandus granti had relatively weak fidelity. Site fidelity was strongest in predictable landscapes where vegetative greening occurred at regular intervals over time (i.e. high temporal contingency). Species differed in their response to spatial heterogeneity in greenness (i.e. spatial constancy). Site fidelity varied seasonally in some species, but remained constant over time in others. Elk employed a ‘win‐stay, lose‐switch’ strategy, in which successful resource tracking in the springtime resulted in strong site fidelity the following spring. Site fidelity did not vary with age in any species tested. 4. Our results provide support for the environmental hypothesis, particularly that regularity in vegetative phenology shapes the strength of site fidelity at the inter‐annual scale. Large unexplained differences in site fidelity suggest that other factors, possibly species‐specific differences in attraction to known sites, contribute to variation in the expression of this behaviour. 5. Understanding drivers of variation in site fidelity across groups of organisms living in different environments provides important behavioural context for predicting how animals will respond to environmental change

    Patterns and rates of exonic de novo mutations in autism spectrum disorders

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    Autism spectrum disorders (ASD) are believed to have genetic and environmental origins, yet in only a modest fraction of individuals can specific causes be identified1,2. To identify further genetic risk factors, we assess the role of de novo mutations in ASD by sequencing the exomes of ASD cases and their parents (n= 175 trios). Fewer than half of the cases (46.3%) carry a missense or nonsense de novo variant and the overall rate of mutation is only modestly higher than the expected rate. In contrast, there is significantly enriched connectivity among the proteins encoded by genes harboring de novo missense or nonsense mutations, and excess connectivity to prior ASD genes of major effect, suggesting a subset of observed events are relevant to ASD risk. The small increase in rate of de novo events, when taken together with the connections among the proteins themselves and to ASD, are consistent with an important but limited role for de novo point mutations, similar to that documented for de novo copy number variants. Genetic models incorporating these data suggest that the majority of observed de novo events are unconnected to ASD, those that do confer risk are distributed across many genes and are incompletely penetrant (i.e., not necessarily causal). Our results support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5 to 20-fold. Despite the challenge posed by such models, results from de novo events and a large parallel case-control study provide strong evidence in favor of CHD8 and KATNAL2 as genuine autism risk factors
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