121 research outputs found

    Progressing Issues of Social Importance Through the Work of Indigenous Artists: A Social Impact Evaluation of the Native Arts and Cultures Foundation's Pilot Community Inspiration Program

    Get PDF
    In 2014, the Native Arts and Cultures Foundation (NACF) launched a new initiative, the Community Inspiration Program (CIP), which is rooted in the understanding that arts and cultures projects have an important role to play in motivating community engagement and supporting social change.This report considers the social impacts of the 2014 CIP projects—what effects did they have on communities and on the issues, conversations, and connections that are critical in those communities? Its secondary purpose is to provide the NACF with ideas for how to improve its grant making in support of arts for community change.In our usage, for a CIP project to have "social impact," it should make a difference in communities. "Social change" is the idea of moving in a desired direction on an issue of community importance and social relevance. Thus, a project has social impact if it progresses social change

    Frustration and Communicating in Second Languages

    Get PDF

    Methods for peptide identification by spectral comparison

    Get PDF
    BACKGROUND: Tandem mass spectrometry followed by database search is currently the predominant technology for peptide sequencing in shotgun proteomics experiments. Most methods compare experimentally observed spectra to the theoretical spectra predicted from the sequences in protein databases. There is a growing interest, however, in comparing unknown experimental spectra to a library of previously identified spectra. This approach has the advantage of taking into account instrument-dependent factors and peptide-specific differences in fragmentation probabilities. It is also computationally more efficient for high-throughput proteomics studies. RESULTS: This paper investigates computational issues related to this spectral comparison approach. Different methods have been empirically evaluated over several large sets of spectra. First, we illustrate that the peak intensities follow a Poisson distribution. This implies that applying a square root transform will optimally stabilize the peak intensity variance. Our results show that the square root did indeed outperform other transforms, resulting in improved accuracy of spectral matching. Second, different measures of spectral similarity were compared, and the results illustrated that the correlation coefficient was most robust. Finally, we examine how to assemble multiple spectra associated with the same peptide to generate a synthetic reference spectrum. Ensemble averaging is shown to provide the best combination of accuracy and efficiency. CONCLUSION: Our results demonstrate that when combined, these methods can boost the sensitivity and specificity of spectral comparison. Therefore they are capable of enhancing and complementing existing tools for consistent and accurate peptide identification

    Developing CALL for heritage languages: The 7 Keys of the Dragon

    Full text link
    [EN] In this article we present an interactive extensible software, The 7 Keys of the Dragon, for the teaching/learning of Albanian and Russian to students that attend primary and secondary education in Greece with the respective languages as their heritage languages. We address the key challenges we encountered during the conceptualization phase of the project development and the specific design choices we implemented in order to accommodate them. Drawing on recent research on the role of Computer-Assisted Language Learning (CALL) applications for young bilingual populations, we aimed at creating a user friendly environment with a clear pedagogical orientation. Furthermore, given that games in language learning are associated with intrinsic motivation and meaningful exposure to the target language, we have integrated a fairy-tale background narrative, a game-inspired reward system, and two cartoon-like assistant characters to stimulate the user’s involvement in the learning tasks. Five chapters for each target language were created, each comprising a text, a variety of scaffolding material and quizzes. The software is designed to provide real-time automatic correction of quizzes and allow for easy expansion with additional quizzes and texts. A separate application for teachers facilitates essay correction and commenting on the students’ language learning progress and achievements.We are grateful to Amalia Rodou-Gorou and Tania Zouravliova for creating the language materials, to Nestoras Pelesoglou for the graphic design, and to Prof. dr. Ioannis Spantidakis for providing guidance in the pedagogical design of the e-learning environment. This research was supported by the programme “Education of Immigrant and Repatriate Students” (Action 5, Deliverable 5.2.3) funded by the European Social Fund, National Strategic Reference Framework (NSRF) 2007-2014 and the Ministry of Education, Lifelong Learning and Religious Affairs of the Hellenic Republic. The usual disclaimers apply.Revithiadou, A.; Kourtis-Kazoullis, V.; Soukalopoulou, M.; Konstantoudakis, K.; Zarras, C. (2015). Developing CALL for heritage languages: The 7 Keys of the Dragon. The EuroCALL Review. 23(2):38-57. doi:10.4995/eurocall.2015.4667.SWORD385723

    From cradle-to-grave at the nanoscale : expert risk perceptions, decision-analysis, and life cycle regulation for emerging nanotechnologies

    No full text
    Engineered nanomaterials (ENMs) promise great benefits for society, yet our knowledge of potential risks and best practices for regulation are still in their infancy. High uncertainty and novel ENM properties complicate the management of risk, rendering existing regulatory frameworks inadequate. This thesis investigates the challenges that nanotechnologies pose for risk regulation, and aims to inform the development of policies and practices to address these challenges. In chapter 2, US federal environmental, health and safety (EHS) regulations are analyzed using a life cycle framework, to evaluate their adequacy as applied to ENMs. This analysis reveals that life cycle risk management of nanomaterials under existing regulations is plagued with difficulty, and populated by myriad gaps through which ENM may escape federal oversight altogether. Chapters 3 and 4 examine expert opinions on risks, and perceptions of regulatory agency preparedness to manage risks, using a web-based survey (N=404) of US and Canadian nanotechnology experts. Risk and preparedness perceptions were found to differ significantly across groups of experts. Nano-scientists and engineers were more than twice as likely as nano-regulators to believe that benefits from nanotechnology would greatly exceed risk. Yet, those working in regulatory agencies were far more likely to regard government agencies as unprepared than were experts outside government. These differences were explained by expert views of the novelty of benefits and risks, attitudes toward other classes of risk, preferred approaches to regulation, experts’ degree of economic conservatism, and trust in regulatory agencies. Recognizing the myriad challenges for risk regulation, chapter 5 explores the use of decision-analytic models to cope with uncertainty. Drawing on baseline data monitoring efforts of the US EPA and California DTSC, this chapter argues for the use of novel decision-analytic tools and approaches (such as risk ranking, multi-criteria decision analysis, and “control banding”) in lieu of formal risk assessment to meet regulators’ goals in particular decision contexts. Considered together, this thesis concludes that oversight can be improved through pending regulatory reforms, the utilization of expert opinion to inform decision-making, and the development of improved decision-analytic tools that enable the assessment and management of risks under high uncertainty.Science, Faculty ofResources, Environment and Sustainability (IRES), Institute forGraduat
    • 

    corecore